In the paper we give a survey of rather new notions and results which generalize
classical ones in the theory of braids. Among such notions are various inverse monoids of
partial braids. We also observe presentations different from standard Artin presentation for
generalizations of braids. Namely, we consider presentations with small number of generators,
Sergiescu graph-presentations and Birman-Ko-Lee presentation. The work of V. V. Chaynikov
on the word and conjugacy problems for the singular braid monoid in Birman-Ko-Lee generators
is described as well.
This section provides an introduction to graphs and graph theory. Key points include:
- Graphs consist of vertices and edges that connect the vertices. They can be directed or undirected.
- Common terminology is introduced, such as adjacent vertices, neighborhoods, degrees of vertices, and handshaking theorem.
- Different types of graphs are discussed, including multigraphs, pseudographs, and directed graphs.
- Examples of graph models are given for computer networks, social networks, information networks, transportation networks, and software design. Graphs can be used to model many real-world systems and applications.
Combinatorial Conditions For The Rigidity Of Tensegrity Frameworks By RecskiTensegrity Wiki
This document discusses rigidity conditions for tensegrity frameworks, which are structures composed of rigid rods, tension-only cables, and compression-only struts. It summarizes several key results regarding the minimum number and placement of cables/struts/rods needed to rigidly realize square grids, one-story buildings, and simple trusses as tensegrity frameworks. It also outlines open problems regarding characterizing graphs that are minimally rigid as tensegrity frameworks in higher dimensions.
Graph theory concepts complex networks presents-rouhollah nabatinabati
This document provides an introduction to network and social network analysis theory, including basic concepts of graph theory and network structures. It defines what a network and graph are, explains what network theory techniques are used for, and gives examples of real-world networks that can be represented as graphs. It also summarizes key graph theory concepts such as nodes, edges, walks, paths, cycles, connectedness, degree, and centrality measures.
This document introduces the topic of graph theory. It defines what graphs are, including vertices, edges, directed and undirected graphs. It provides examples of graphs like social networks, transportation maps, and more. It covers basic graph terminology such as degree, regular graphs, subgraphs, walks, paths and cycles. It also discusses graph classes like trees, complete graphs and bipartite graphs. Finally, it touches on some historical graph problems, complexity analysis, centrality analysis, facility location problems and applications of graph theory.
The document provides an introduction to graph theory. It begins with a brief history, noting that graph theory originated from Euler's work on the Konigsberg bridges problem in 1735. It then discusses basic concepts such as graphs being collections of nodes and edges, different types of graphs like directed and undirected graphs. Key graph theory terms are defined such as vertices, edges, degree, walks, paths, cycles and shortest paths. Different graph representations like the adjacency matrix, incidence matrix and adjacency lists are also introduced. The document is intended to provide an overview of fundamental graph theory concepts.
This document is a notebook on graph theory compiled by two students. It begins with an introduction to graphs, defining them as a collection of vertices and edges. It then discusses various graph terminology like types of graphs, representations of graphs, and graph concepts like degree, adjacency, and handshaking lemma. The notebook is intended to help develop programming skills for the ACM through learning graph theory fundamentals.
We make use of the conformal compactification of Minkowski spacetime M# to explore a way of describing general, nonlinear Maxwell fields with conformal symmetry. We distinguish the inverse Minkowski spacetime [M#]−1 obtained via conformal inversion, so as to discuss a doubled compactified spacetime on which Maxwell fields may be defined. Identifying M# with the projective light cone in (4+2)-dimensional spacetime, we write two independent conformal-invariant functionals of the 6-dimensional Maxwellian field strength tensors - one bilinear, the other trilinear in the field strengths -- which are to enter general nonlinear constitutive equations. We also make some remarks regarding the dimensional reduction procedure as we consider its generalization from linear to general nonlinear theories.
This section provides an introduction to graphs and graph theory. Key points include:
- Graphs consist of vertices and edges that connect the vertices. They can be directed or undirected.
- Common terminology is introduced, such as adjacent vertices, neighborhoods, degrees of vertices, and handshaking theorem.
- Different types of graphs are discussed, including multigraphs, pseudographs, and directed graphs.
- Examples of graph models are given for computer networks, social networks, information networks, transportation networks, and software design. Graphs can be used to model many real-world systems and applications.
Combinatorial Conditions For The Rigidity Of Tensegrity Frameworks By RecskiTensegrity Wiki
This document discusses rigidity conditions for tensegrity frameworks, which are structures composed of rigid rods, tension-only cables, and compression-only struts. It summarizes several key results regarding the minimum number and placement of cables/struts/rods needed to rigidly realize square grids, one-story buildings, and simple trusses as tensegrity frameworks. It also outlines open problems regarding characterizing graphs that are minimally rigid as tensegrity frameworks in higher dimensions.
Graph theory concepts complex networks presents-rouhollah nabatinabati
This document provides an introduction to network and social network analysis theory, including basic concepts of graph theory and network structures. It defines what a network and graph are, explains what network theory techniques are used for, and gives examples of real-world networks that can be represented as graphs. It also summarizes key graph theory concepts such as nodes, edges, walks, paths, cycles, connectedness, degree, and centrality measures.
This document introduces the topic of graph theory. It defines what graphs are, including vertices, edges, directed and undirected graphs. It provides examples of graphs like social networks, transportation maps, and more. It covers basic graph terminology such as degree, regular graphs, subgraphs, walks, paths and cycles. It also discusses graph classes like trees, complete graphs and bipartite graphs. Finally, it touches on some historical graph problems, complexity analysis, centrality analysis, facility location problems and applications of graph theory.
The document provides an introduction to graph theory. It begins with a brief history, noting that graph theory originated from Euler's work on the Konigsberg bridges problem in 1735. It then discusses basic concepts such as graphs being collections of nodes and edges, different types of graphs like directed and undirected graphs. Key graph theory terms are defined such as vertices, edges, degree, walks, paths, cycles and shortest paths. Different graph representations like the adjacency matrix, incidence matrix and adjacency lists are also introduced. The document is intended to provide an overview of fundamental graph theory concepts.
This document is a notebook on graph theory compiled by two students. It begins with an introduction to graphs, defining them as a collection of vertices and edges. It then discusses various graph terminology like types of graphs, representations of graphs, and graph concepts like degree, adjacency, and handshaking lemma. The notebook is intended to help develop programming skills for the ACM through learning graph theory fundamentals.
We make use of the conformal compactification of Minkowski spacetime M# to explore a way of describing general, nonlinear Maxwell fields with conformal symmetry. We distinguish the inverse Minkowski spacetime [M#]−1 obtained via conformal inversion, so as to discuss a doubled compactified spacetime on which Maxwell fields may be defined. Identifying M# with the projective light cone in (4+2)-dimensional spacetime, we write two independent conformal-invariant functionals of the 6-dimensional Maxwellian field strength tensors - one bilinear, the other trilinear in the field strengths -- which are to enter general nonlinear constitutive equations. We also make some remarks regarding the dimensional reduction procedure as we consider its generalization from linear to general nonlinear theories.
A study on connectivity in graph theory june 18 pdfaswathymaths
This document provides an introduction and two chapters on connectivity in graphs. The introduction discusses the history and applications of graph theory. Chapter 1 defines key concepts related to connectivity such as bridges, cut vertices, and k-connectivity. It presents theorems characterizing when an edge is a bridge and when a graph is a tree. Chapter 2 discusses applications of connectivity in graphs.
This document provides definitions and concepts related to graph theory. It begins with a brief history of graph theory and then defines basic concepts such as graphs, nodes, edges, adjacency, incidence, isomorphism, subgraphs, walks, trails, paths, connectedness, trees, and spanning trees. It also introduces different types of graphs including null graphs, cycle graphs, path graphs, complete graphs, bipartite graphs, and complete bipartite graphs. Finally, it discusses how vector spaces can be associated with graphs and defines the properties of cycle and cutset spaces.
The document discusses the concepts of rigidity and tensegrity structures. It defines rigidity as being determined by the materials, external forces, topology, and geometry of a structure. Tensegrity structures use a combination of tension and compression elements to achieve rigidity. The document outlines methods for analyzing rigidity, including using equilibrium stresses, stress matrices, and Henneberg transformations to build globally rigid structures.
This document provides an introduction to graphs and graph terminology. It defines what a graph is composed of, including vertices and edges. It gives examples of graphs and has the student practice identifying vertices and edges. It also introduces common graph terminology like degree of a vertex, adjacent vertices, paths, circuits, bridges, Euler paths, and Euler circuits. Fleury's algorithm for finding an Euler circuit or path in a graph is described. The document uses examples and exercises to help students learn and practice applying these graph concepts.
This document discusses derivations on lattices. It begins with background definitions of lattices, distributive lattices, modular lattices, and derivations. It then introduces the notion of f(x⋀y) = x⋀fy for a derivation f on a lattice L. It establishes some equivalence relations using isotone derivations and extends previous results on isotone derivations for distributive lattices. Finally, it shows that the set of all isotone derivations on a modular lattice forms a modular lattice itself under the operations of meet and join.
This document provides definitions and theorems related to graph theory. It begins with definitions of simple graphs, vertices, edges, degree, and the handshaking lemma. It then covers definitions and properties of paths, cycles, adjacency matrices, connectedness, Euler paths and circuits. The document also discusses Hamilton paths, planar graphs, trees, and other special types of graphs like complete graphs and bipartite graphs. It provides examples and proofs of many graph theory concepts and results.
Introduction to graph theory (All chapter)sobia1122
1) Graph theory can be used to model and solve problems in many fields like physics, chemistry, computer science, and more. Certain problems can be formulated as problems in graph theory.
2) Graph theory has developed from puzzles and practical problems, like the Königsberg bridge problem inspiring Eulerian graph theory and the "Around the World" game inspiring Hamiltonian graph theory.
3) Connectivity in graphs measures how connected a graph is, and how the removal of vertices or edges affects connectivity. Connectivity is important for applications like communication networks.
This document discusses properties of the complement of fuzzy graphs. It begins by introducing fuzzy graphs and defining the complement of a fuzzy graph. It then presents three theorems about the structure of complements:
1) If a fuzzy graph G is a cycle with 5 or more vertices, then the underlying graph of G's complement (Gc)* will be a block.
2) If a fuzzy graph G satisfies a certain connectivity property, then (Gc)* will be a block.
3) If a fuzzy graph G satisfies a certain degree and connectivity property, then Gc will be a fuzzy block.
The document concludes by stating that the results are sufficient but not necessary conditions for the structural properties of
The document provides an introduction to graph theory concepts. It defines graphs as pairs of vertices and edges, and introduces basic graph terminology like order, size, adjacency, and isomorphism. Graphs can be represented geometrically by drawing vertices as points and edges as lines between them. Both simple graphs and multigraphs are discussed.
This document is a project report submitted by S. Manikanta in partial fulfillment of the requirements for a Master of Science degree in Mathematics. The report discusses applications of graph theory. It provides an overview of graph theory concepts such as definitions of graphs, terminology used in graph theory, different types of graphs, trees and forests, graph isomorphism and operations, walks and paths in graphs, representations of graphs using matrices, applications of graphs in areas like computer science, fingerprint recognition, security, and more. The document also includes examples and illustrations to explain various graph theory concepts.
The document provides an introduction to graph theory. It lists prescribed and recommended books, outlines topics that will be covered including history, definitions, types of graphs, terminology, representation, subgraphs, connectivity, and applications. It notes that the Government of India designated June 10th as Graph Theory Day in recognition of the influence and importance of graph theory.
This document provides an introduction to topological graph theory. It begins with definitions of basic graph theory concepts from a topological perspective, such as representing graphs with curved arcs instead of straight lines. It then discusses graph drawings, incidence matrices, vertex valence, and graph maps/isomorphisms. Important classes of graphs are introduced, such as trees, paths, cycles, and complete graphs. The document aims to introduce preliminary concepts of topological graph theory to students in a simple manner.
1) The document introduces basic concepts in graph theory including definitions of graphs, vertices, edges and examples.
2) It discusses some classic problems in graph theory including Euler's solving of the Seven Bridges of Königsberg problem, which helped formulate graph theory.
3) The document defines Euler paths, Euler circuits and the conditions for when a graph contains them based on the number of odd and even vertices.
M. Visinescu: Hidden Symmetries of the Five-dimensional Sasaki - Einstein SpacesSEENET-MTP
Balkan Workshop BW2013
Beyond the Standard Models
25 – 29 April, 2013, Vrnjačka Banja, Serbia
M. Visinescu: Hidden Symmetries of the Five-dimensional Sasaki - Einstein Spaces
A study on connectivity in graph theory june 18 123easwathymaths
This document provides an introduction to connectivity of graphs. It begins with definitions of terms like bridges, cut vertices, connectivity, and edge connectivity. It then presents several theorems about when edges are bridges and vertices are cut vertices. It proves properties of trees related to cut vertices. The document establishes relationships between vertex and edge connectivity. It introduces the concepts of k-connectivity and discusses properties of complete graphs and trees in relation to connectivity.
In this paper, we study semi symmetric and pseudo symmetric conditions in S -manifolds, those are RR = 0 , RC = 0 , C R = 0 , C C = 0 , = ( , ) R R L1Q g R , = ( , ) RC L2Q g C , = ( , ) CR L3Q g R , and = ( , ) C C L4Q g C , where C is the Concircular curvature tensor and 1 2 3 4 L ,L ,L ,L are the smooth functions on M , further we discuss about Ricci soliton
- The document discusses optical motion capture, which uses cameras to capture markers placed on joints to analyze motion by reconstructing a skeletal model and estimating joint angles and forces over time.
- It questions how the 2D camera images are reconstructed into 3D space, how actual lengths are determined when cameras only see sensor lengths, and how joint torques and muscles forces are estimated using only cameras and force plates.
- Matrices play a large role in the calculations needed to address these questions in optical motion capture.
Graph theory is the study of mathematical structures called graphs that are used to model pairwise relations between objects. Key concepts include vertices, edges, degrees, walks, paths, circuits, trees, planar graphs and non-planar graphs. Graph theory originated from Euler's solution to the Königsberg bridge problem in 1736. Important applications of graph theory include modeling networks, optimization problems, and molecular structures.
This document summarizes a research paper that proposes using symbolic determinants of adjacency matrices to solve the Hamiltonian Cycle Problem (HCP). The HCP involves finding a cycle in a graph that visits each vertex exactly once. The paper shows that the HCP can be reduced to solving a system of polynomial equations related to the graph's adjacency matrix. Specifically, it represents the matrix symbolically and derives equations constraining the symbols to represent a Hamiltonian cycle. Solving this system of equations determines if the original graph has a Hamiltonian cycle.
This document discusses wavefront analysis for an annular ellipse aperture using Zernike polynomials. It begins with an introduction to Zernike polynomials for different apertures developed by other researchers. The relationship between Zernike annular ellipse polynomials and third-order Seidel aberrations is then derived. Finally, the standard deviations of balanced and unbalanced primary aberrations are calculated for an annular ellipse aperture using the property that Zernike polynomials form an orthogonal set over the aperture.
Proportional and decentralized rule mcst gamesvinnief
This document presents two cost allocation rules - the proportional rule and the decentralized rule - for minimum cost spanning extension problems. The proportional rule allocates costs proportionally based on an algorithm that constructs a minimum cost spanning extension while simultaneously allocating link costs. The decentralized rule is based on an algorithm that constructs the extension in a decentralized manner, with links being added one by one and their costs immediately allocated. Both rules are shown to be refinements of the irreducible core defined for these problems. The proportional rule is then characterized axiomatically.
A study on connectivity in graph theory june 18 pdfaswathymaths
This document provides an introduction and two chapters on connectivity in graphs. The introduction discusses the history and applications of graph theory. Chapter 1 defines key concepts related to connectivity such as bridges, cut vertices, and k-connectivity. It presents theorems characterizing when an edge is a bridge and when a graph is a tree. Chapter 2 discusses applications of connectivity in graphs.
This document provides definitions and concepts related to graph theory. It begins with a brief history of graph theory and then defines basic concepts such as graphs, nodes, edges, adjacency, incidence, isomorphism, subgraphs, walks, trails, paths, connectedness, trees, and spanning trees. It also introduces different types of graphs including null graphs, cycle graphs, path graphs, complete graphs, bipartite graphs, and complete bipartite graphs. Finally, it discusses how vector spaces can be associated with graphs and defines the properties of cycle and cutset spaces.
The document discusses the concepts of rigidity and tensegrity structures. It defines rigidity as being determined by the materials, external forces, topology, and geometry of a structure. Tensegrity structures use a combination of tension and compression elements to achieve rigidity. The document outlines methods for analyzing rigidity, including using equilibrium stresses, stress matrices, and Henneberg transformations to build globally rigid structures.
This document provides an introduction to graphs and graph terminology. It defines what a graph is composed of, including vertices and edges. It gives examples of graphs and has the student practice identifying vertices and edges. It also introduces common graph terminology like degree of a vertex, adjacent vertices, paths, circuits, bridges, Euler paths, and Euler circuits. Fleury's algorithm for finding an Euler circuit or path in a graph is described. The document uses examples and exercises to help students learn and practice applying these graph concepts.
This document discusses derivations on lattices. It begins with background definitions of lattices, distributive lattices, modular lattices, and derivations. It then introduces the notion of f(x⋀y) = x⋀fy for a derivation f on a lattice L. It establishes some equivalence relations using isotone derivations and extends previous results on isotone derivations for distributive lattices. Finally, it shows that the set of all isotone derivations on a modular lattice forms a modular lattice itself under the operations of meet and join.
This document provides definitions and theorems related to graph theory. It begins with definitions of simple graphs, vertices, edges, degree, and the handshaking lemma. It then covers definitions and properties of paths, cycles, adjacency matrices, connectedness, Euler paths and circuits. The document also discusses Hamilton paths, planar graphs, trees, and other special types of graphs like complete graphs and bipartite graphs. It provides examples and proofs of many graph theory concepts and results.
Introduction to graph theory (All chapter)sobia1122
1) Graph theory can be used to model and solve problems in many fields like physics, chemistry, computer science, and more. Certain problems can be formulated as problems in graph theory.
2) Graph theory has developed from puzzles and practical problems, like the Königsberg bridge problem inspiring Eulerian graph theory and the "Around the World" game inspiring Hamiltonian graph theory.
3) Connectivity in graphs measures how connected a graph is, and how the removal of vertices or edges affects connectivity. Connectivity is important for applications like communication networks.
This document discusses properties of the complement of fuzzy graphs. It begins by introducing fuzzy graphs and defining the complement of a fuzzy graph. It then presents three theorems about the structure of complements:
1) If a fuzzy graph G is a cycle with 5 or more vertices, then the underlying graph of G's complement (Gc)* will be a block.
2) If a fuzzy graph G satisfies a certain connectivity property, then (Gc)* will be a block.
3) If a fuzzy graph G satisfies a certain degree and connectivity property, then Gc will be a fuzzy block.
The document concludes by stating that the results are sufficient but not necessary conditions for the structural properties of
The document provides an introduction to graph theory concepts. It defines graphs as pairs of vertices and edges, and introduces basic graph terminology like order, size, adjacency, and isomorphism. Graphs can be represented geometrically by drawing vertices as points and edges as lines between them. Both simple graphs and multigraphs are discussed.
This document is a project report submitted by S. Manikanta in partial fulfillment of the requirements for a Master of Science degree in Mathematics. The report discusses applications of graph theory. It provides an overview of graph theory concepts such as definitions of graphs, terminology used in graph theory, different types of graphs, trees and forests, graph isomorphism and operations, walks and paths in graphs, representations of graphs using matrices, applications of graphs in areas like computer science, fingerprint recognition, security, and more. The document also includes examples and illustrations to explain various graph theory concepts.
The document provides an introduction to graph theory. It lists prescribed and recommended books, outlines topics that will be covered including history, definitions, types of graphs, terminology, representation, subgraphs, connectivity, and applications. It notes that the Government of India designated June 10th as Graph Theory Day in recognition of the influence and importance of graph theory.
This document provides an introduction to topological graph theory. It begins with definitions of basic graph theory concepts from a topological perspective, such as representing graphs with curved arcs instead of straight lines. It then discusses graph drawings, incidence matrices, vertex valence, and graph maps/isomorphisms. Important classes of graphs are introduced, such as trees, paths, cycles, and complete graphs. The document aims to introduce preliminary concepts of topological graph theory to students in a simple manner.
1) The document introduces basic concepts in graph theory including definitions of graphs, vertices, edges and examples.
2) It discusses some classic problems in graph theory including Euler's solving of the Seven Bridges of Königsberg problem, which helped formulate graph theory.
3) The document defines Euler paths, Euler circuits and the conditions for when a graph contains them based on the number of odd and even vertices.
M. Visinescu: Hidden Symmetries of the Five-dimensional Sasaki - Einstein SpacesSEENET-MTP
Balkan Workshop BW2013
Beyond the Standard Models
25 – 29 April, 2013, Vrnjačka Banja, Serbia
M. Visinescu: Hidden Symmetries of the Five-dimensional Sasaki - Einstein Spaces
A study on connectivity in graph theory june 18 123easwathymaths
This document provides an introduction to connectivity of graphs. It begins with definitions of terms like bridges, cut vertices, connectivity, and edge connectivity. It then presents several theorems about when edges are bridges and vertices are cut vertices. It proves properties of trees related to cut vertices. The document establishes relationships between vertex and edge connectivity. It introduces the concepts of k-connectivity and discusses properties of complete graphs and trees in relation to connectivity.
In this paper, we study semi symmetric and pseudo symmetric conditions in S -manifolds, those are RR = 0 , RC = 0 , C R = 0 , C C = 0 , = ( , ) R R L1Q g R , = ( , ) RC L2Q g C , = ( , ) CR L3Q g R , and = ( , ) C C L4Q g C , where C is the Concircular curvature tensor and 1 2 3 4 L ,L ,L ,L are the smooth functions on M , further we discuss about Ricci soliton
- The document discusses optical motion capture, which uses cameras to capture markers placed on joints to analyze motion by reconstructing a skeletal model and estimating joint angles and forces over time.
- It questions how the 2D camera images are reconstructed into 3D space, how actual lengths are determined when cameras only see sensor lengths, and how joint torques and muscles forces are estimated using only cameras and force plates.
- Matrices play a large role in the calculations needed to address these questions in optical motion capture.
Graph theory is the study of mathematical structures called graphs that are used to model pairwise relations between objects. Key concepts include vertices, edges, degrees, walks, paths, circuits, trees, planar graphs and non-planar graphs. Graph theory originated from Euler's solution to the Königsberg bridge problem in 1736. Important applications of graph theory include modeling networks, optimization problems, and molecular structures.
This document summarizes a research paper that proposes using symbolic determinants of adjacency matrices to solve the Hamiltonian Cycle Problem (HCP). The HCP involves finding a cycle in a graph that visits each vertex exactly once. The paper shows that the HCP can be reduced to solving a system of polynomial equations related to the graph's adjacency matrix. Specifically, it represents the matrix symbolically and derives equations constraining the symbols to represent a Hamiltonian cycle. Solving this system of equations determines if the original graph has a Hamiltonian cycle.
This document discusses wavefront analysis for an annular ellipse aperture using Zernike polynomials. It begins with an introduction to Zernike polynomials for different apertures developed by other researchers. The relationship between Zernike annular ellipse polynomials and third-order Seidel aberrations is then derived. Finally, the standard deviations of balanced and unbalanced primary aberrations are calculated for an annular ellipse aperture using the property that Zernike polynomials form an orthogonal set over the aperture.
Proportional and decentralized rule mcst gamesvinnief
This document presents two cost allocation rules - the proportional rule and the decentralized rule - for minimum cost spanning extension problems. The proportional rule allocates costs proportionally based on an algorithm that constructs a minimum cost spanning extension while simultaneously allocating link costs. The decentralized rule is based on an algorithm that constructs the extension in a decentralized manner, with links being added one by one and their costs immediately allocated. Both rules are shown to be refinements of the irreducible core defined for these problems. The proportional rule is then characterized axiomatically.
This document discusses quantum chaos in clean many-body systems. It begins by outlining the topic and noting that quantum chaos fits into many-body physics and statistical mechanics. It then discusses how the quantum chaos conjecture relates semiclassical physics to many-body systems. Specifically, it discusses how quantum ergodicity, decay of correlations, and Loschmidt echo relate to the integrability-breaking phase transition in spin chains. It also briefly mentions how quantum chaos appears in non-equilibrium steady states of open many-body systems.
This document contains a table with geometry vocabulary terms from Chapter 3 including definitions and examples. It lists terms such as alternate angles, parallel lines, perpendicular lines, slope, and the point-slope form of a linear equation. The table is intended to be filled in as readers work through Chapter 3. There are also review questions testing understanding of lines, angles, parallel and perpendicular lines, slopes of lines, and representing lines in the coordinate plane.
This document discusses the e-adjacency matrix and e-energies of linear semigraphs. It begins by defining semigraphs and different types of adjacencies between vertices in a semigraph. It then defines the e-adjacency matrix of a semigraph based on vertices that are end vertices of the same edge. For a linear semigraph with n vertices, it derives a formula for the characteristic polynomial of the e-adjacency matrix and shows some properties. Finally, it defines the e-energy of a linear semigraph to be the sum of the eigenvalues of its e-adjacency matrix.
Abstract
In general, graphs are associated with different types of matrices to study their structural properties. As a result, the study of
spectrum of graphs become an important area of research in graph theory. Various types of energies have been discussed
according to the type of matrix under consideration. In semigraphs, the adjacency between vertices is defined in many ways. This
opens a broad scope to study the different energies of semigraphs. In this paper, two types of adjacency matrices, namely e -
adjacency matrix and n -adjacency matrix are considered to study the respective energies of the most fundamental semigraph
known as linear semigraph.
Keywords: linear semigraph, e - adjacency matrix, n - adjacency matrix, energy of a graph
IJCER (www.ijceronline.com) International Journal of computational Engineerin...ijceronline
The document analytically studies the unit cell and molecular structures of single-walled carbon nanotubes (SWCNTs) at different chirality values. It finds that the total number of unit cells, carbon atoms, and hexagons in each SWCNT structure changes with chirality. Analytical expressions are derived for the overall unit cell structure, molecular structure, chiral angle, and diameter of SWCNTs. Simulated results for different SWCNT chiralities match the mathematical results, validating both the simulations and expressions.
- Crystallographic points, directions and planes are specified using indexing schemes like Miller indices.
- Materials can be single crystals or polycrystalline aggregates of randomly oriented grains, leading to anisotropic or isotropic properties respectively.
- A crystal's diffraction pattern in reciprocal space is determined by its real space lattice and atomic structure. The reciprocal lattice is constructed geometrically from the real lattice and maps planes in real space to points in reciprocal space.
This paper reviews the fundamental concepts and
the basic theory of polarization mode dispersion(PMD) in optical
fibers. It introduces a unified notation and methodology to
link the various views and concepts in jones space and strokes
space. The discussion includes the relation between Jones vectors
and Strokes vectors and how they are used in formulating the
jones matrix by the unitary system matrix.
The document discusses Wythoff constructions and l1-embeddings. It begins by introducing Wythoff constructions, which generate new complexes from an original complex based on subsets of face dimensions. It then discusses l1-embeddings, which isometrically embed graphs into l1 metric spaces. Regular polytopes and tilings are provided as examples that embed into hypercubes or half-cubes through l1-embeddings. Embeddability can be tested using properties like being bipartite and satisfying hypermetric inequalities.
NANO106 is UCSD Department of NanoEngineering's core course on crystallography of materials taught by Prof Shyue Ping Ong. For more information, visit the course wiki at http://nano106.wikispaces.com.
International Journal of Engineering Research and Development (IJERD)IJERD Editor
This document presents a third order shear deformation theory to analyze flexure of thick cantilever beams. The theory uses a sinusoidal function in the displacement field to account for transverse shear deformation effects through the beam thickness. Governing equations and boundary conditions are derived using the principle of virtual work. Numerical examples of a cantilever beam with a cosine load distribution are presented and displacement, stress results are obtained in non-dimensional form. The results are discussed and compared to other beam theories to demonstrate the efficiency of the third order shear deformation theory.
In many scientific areas, systems can be described as interaction networks where elements correspond to vertices and interactions to edges. A variety of problems in those fields can deal with network comparison and characterization.
The problem of comparing and characterizing networks is the task of measuring their structural similarity and finding characteristics which capture structural information. In order to analyze complex networks, several methods can be combined, such as graph theory, information theory, and statistics.
In this project, we present methods for measuring Shannon’s entropy of graphs.
ENUMERATION OF 1-REGULAR SEMIGRAPHS OF ORDER p WITH THREE MUTUALLY ADJACENT m...IAEME Publication
For a vertex 𝑣v in a semigraph 𝐺 = (𝑉, 𝑋), 𝑑𝑒𝑔 𝑣 G=(V,X), deg v is the number of edges having v𝑣 as an end vertex. A semigraph G𝐺 is said to be k-regular if all its vertices have degree k. In this paper, we classify the class of all 1-regular semigraphs with exactly three 𝑚m-vertices into four categories and we enumerate the nonisomorphic semigraphs in one of these categories.
This document presents two variations on the periscope theorem in geometry optics. It summarizes:
1) For a "spherical periscope" system of two mirrors that reflects rays emanating from a point back to that point, the vector field relating the incoming and outgoing ray directions is projectively gradient.
2) For a "reversed periscope" system reflecting upward rays downward, the local diffeomorphism relating the ray directions and the function describing the second mirror can be expressed in terms of the function for the first mirror.
3) In both cases, the document provides theorems characterizing the relationships between the mirror surfaces and ray mappings in terms of gradients and differential equations.
X-ray diffraction is a technique used to analyze the crystal structure of materials. It works by firing X-rays at a crystalline sample and observing the scattered rays, which are determined by the positions of atoms in the crystal structure. Bragg's law describes the conditions under which constructive interference of X-rays scattered from crystal planes occurs, producing a diffraction pattern. Analysis of diffraction patterns can provide information about a material's lattice structure, symmetry, and chemical composition. Miller indices are used to describe crystallographic planes and directions within a crystal lattice.
Michael Nieves.
We consider a transition wave that propagates inside a discrete periodic structure, composed of massless beams and periodically placed masses, as a result of energy supplied by a remote point load. This scenario may represent the collapse of a civil engineering structure, such as a rooftop or a bridge, due to some unwanted vibrations.
A summary of analytical results, obtained using the Wiener-Hopf technique, concerning the dynamic behaviour of the structure during the collapse is given.
The structure’s dispersive nature is then used to reveal the steady-state collapse speeds observed in numerical simulations. We show that average speed of collapse propagation is a continuous function of the load amplitude and identify intervals when steady-state propagation occurs. Outside these intervals, the collapse propagates non-steadily, and can oscillate rapidly. Here the collapse can occur in small bursts or clusters and for large load amplitudes it possesses what was recently discovered as a forerunning propagation.
Michael Nieves gratefully acknowledges the support of the EU H2020 grant MSCA-IF-2016-747334-CAT-FFLAP.
Motivated by presenting mathematics visually and interestingly to common people based on calculus and its extension, parametric curves are explored here to have two and three dimensional objects such that these objects can be used for demonstrating mathematics.
Epicycloid, hypocycloid are particular curves that are implemented in MATLAB programs and the motifs are presented here. The obtained curves are considered to be domains for complex mappings to have new variation of Figures and objects. Additionally Voronoi mapping is also implemented to some parametric curves and some resulting complex mappings.
Some obtained 3 dimensional objects are considered as flowers and animals inspiring to be mathematical ornaments of hypocycloid dance which is also illustrated here.
A generalization of the semisimplicity concept for polyadic algebraic structures is proposed. If semisimple structures can be presented in the block-diagonal matrix form (Wedderburn decomposition), a general form of polyadic structures is given by block-shift matrices. We combine these forms in a special way to get a general shape of semisimple nonderived polyadic structures. We then introduce the polyadization concept (a "polyadic constructor") according to which one can construct a nonderived polyadic algebraic structure of any arity from a given binary structure. The polyadization of supersymmetric structures is also discussed. The "deformation" by shifts of operations on the direct power of binary structures is defined and used to obtain a nonderived polyadic multiplication. Illustrative concrete examples for the new constructions are given.
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Vershinin 2013_about presentations of braid groups and their
1. arXiv:1304.7378v1[math.GR]27Apr2013
ABOUT PRESENTATIONS OF BRAID GROUPS AND THEIR
GENERALIZATIONS
V. V. VERSHININ
Abstract. In the paper we give a survey of rather new notions and results which generalize
classical ones in the theory of braids. Among such notions are various inverse monoids of
partial braids. We also observe presentations different from standard Artin presentation for
generalizations of braids. Namely, we consider presentations with small number of generators,
Sergiescu graph-presentations and Birman-Ko-Lee presentation. The work of V. V. Chaynikov
on the word and conjugacy problems for the singular braid monoid in Birman-Ko-Lee generators
is described as well.
Contents
1. Introduction 2
2. Generalizations of Braids 5
2.1. Artin-Brieskorn braid groups 5
2.2. Braid groups on surfaces 6
2.3. Braid-permutation group 7
2.4. Singular braid monoid 8
2.5. Other generalizations of braids that are not considered in the paper 9
3. Presentations of generalizations of braids with few generators 9
3.1. Artin-Brieskorn groups and complex reflexion groups 9
3.2. Sphere braid groups: few generators 12
3.3. Braid-permutation groups 12
3.4. Few generators for the singular braid monoid 13
4. Graph-presentations 13
4.1. Braid groups of type B via graphs 13
4.2. Graph-presentations for the surface braid groups 15
4.3. Sphere braid groups presentations via graphs 15
4.4. Singular braids and graphs 17
5. Birman – Ko – Lee presentation for the singular braid monoid 19
6. The work of V. V. Chaynikov 21
6.1. Cancellation property 21
6.2. Word and conjugacy problems in SBn 22
7. Inverse monoids 23
7.1. Inverse reflection monoid of type B 25
8. Properties of inverse braid monoid 25
9. Monoids of partial generalized braids 29
References 32
2010 Mathematics Subject Classification. Primary 20F36; Secondary 20M18, 57M.
Key words and phrases. Braid, presentation, inverse braid monoid, Artin-Brieskorn group, singular braid
monoid, word problem.
1
2. 2 VERSHININ
1. Introduction
The purpose of this paper is to give a survey on some recent notions and results concerning
generalizations of the braids.
Classical braid groups Brn can be defined in several ways. Either as a set of isotopy classes
of system of n curves in a three-dimensional space (what is the same as the fundamental group
of the configuration space of n points on a plane) or as the mapping class group of a disc with
n points deleted Dn with its boundary fixed, what is equivalent to the subgroup of the braid
automorphisms of the automorphism group of a free group Aut Fn. For the exact definitions
we make a reference here to a monograph on braid, for example the book of C. Kassel and
V. Turaev [46] or to the previous surveys of the author [79, 81, 84].
The pure braid group Pn is defined as the kernel of the canonical epimorphism τn from braids
to the symmetric group Σn:
1 → Pn → Brn
τn
−→ Σn → 1.
We fix the canonical Artin presentation [2] of the braid group Brn. It has generators σi,
i = 1, ..., n − 1 and two types of relations:
(1.1)
σiσj = σj σi, if |i − j| > 1,
σiσi+1σi = σi+1σiσi+1.
The generators σi correspond to the following automorphisms of Fn:
(1.2)
xi → xi+1,
xi+1 → x−1
i+1xixi+1,
xj → xj, j = i, i + 1.
Of course, there exist other presentations of the braid group. Let
(1.3) σ = σ1σ2 . . . σn−1,
then the group Brn is generated by σ1 and σ because
(1.4) σi+1 = σi
σ1σ−i
, i = 1, . . . n − 2.
The relations for the generators σ1 and σ are the following
(1.5)
σ1σi
σ1σ−i
= σi
σ1σ−i
σ1 for 2 ≤ i ≤ n/2,
σn
= (σσ1)n−1
.
The presentation (1.5) was given by Artin in the initial paper [2]. This presentation was also
mentioned in the books by F. Klein [48] and by H. S. M. Coxeter and W. O. J. Moser [23].
V. Ya. Lin in [55] gives a slightly different form of this presentation. Let β ∈ Brn be defined
by the formula
β = σσ1.
Then there is the presentation of the group Brn with generators σ1 and β and relations:
βσi−1
β = σi
βσ−i−1
βσi
for 2 ≤ i ≤ n/2,
σn
= βn−1
.
This presentation is called special in [55].
An interesting series of presentations was given by V. Sergiescu [72]. For every planar graph
he constructed a presentation of the group Brn, where n is the number of vertices of the graph,
with generators corresponding to edges and relations reflecting the geometry of the graph. To
3. ABOUT PRESENTATIONS OF BRAID GROUPS AND THEIR GENERALIZATIONS 3
each edge e of the graph he associates the braid βe which is a clockwise half-twist along e
(see Figure 1.1). Artin’s classical presentation (1.1) in this context corresponds to the graph
consisting of the interval from 1 to n with the natural numbers (from 1 to n) as vertices and
with segments between them as edges.
01
0
0
1
1
0011
0
0
1
1
000
000
000000
000
000
000
000
111
111
111111
111
111
111
111
000
000
000000
000
111
111
111111
111
000
000
000000
000
111
111
111111
111
0011
00
00
11
11
0011
00
00
11
11
0011
0
0
1
1
01
0
0
1
1
00
00
11
11
0011
00
00
11
11
01
0
0
1
1
010
0
00
0
0
0
00
0
0
0
00
0
0
0
00
0
1
11
1
1
1
1
11
1
1
1
11
1
1
1
11
1
0
0
00
0
0
0
00
0
0
0
0
00
0
0
00
0
0
1
11
1
1
1
11
1
1
1
1
11
1
1
11
1
1
1
0
0
00
0
0
0
00
0
0
0
00
0
0
0
00
0
0
1
11
1
1
1
1
11
1
1
1
11
1
1
1
11
1
1
0
0
00
0
0
0
00
0
0
0
0
00
0
0
00
0
1
11
1
1
1
11
1
1
1
1
11
1
1
11
1
1
e
e
Figure 1.1. Edges and geometric braids.
To be precise let Γ be a planar graph. We call it normal if Γ is connected, and it has no
loops or intersections. Let S(Γ) be the set of vertices of Γ. If Γ is not a tree then we define
next what is a pseudocycle on it. The bounded part of the complement of Γ in the plane is the
disjoint union of a finite number of open disks D1, . . . , Dm, m > 1. The boundary of Dj on
the plane is a subgraph Γ(Dj) of Γ. We choose a point O in the interior of Dj, and an edge
σ of Γ(Dj) with vertices v1, v2. We suppose that the triangle Ov1v2 is oriented anticlockwise.
We denote σ by σ(e1). We define the pseudocycle associated to Dj to be the sequence of edges
σ(e1) . . . σ(ep) such that:
-if the vertex vj+1 is not uni-valent, then σ(ej+1) is the first edge on the left of σ(ej) (we
consider σ(ej) going from vj to vj+1) and the vertex vj+2 is the other vertex adjacent to σ(ej+1);
-if the vertex vj+1 is uni-valent, then σ(ej+1) = σ(ej) and vj+2 = vj.
-the vertex vp+1 is the vertex v1.
Let γ = σ(e1) . . . σ(ep) be a pseudocycle of Γ. Let i = 1, . . . , p. If σ(ei) = σ(ej) for some
j = i, then we say that
• σ(ei) is the start edge of a reverse if j = i + 1 (we set ep+1 = e1),
• σ(ei) is the end edge of a reverse if j = i − 1 (we set e0 = ep).
In the following we set σ1 . . . σp for the pseudocycle σ(e1) . . . σ(ep).
Theorem 1.1. (V. Sergiescu [72]) Let Γ be a normal planar graph with n vertices. The braid
group Brn admits a presentation XΓ | RΓ , where XΓ = {σ | σ is an edge of Γ} and RΓ is the
set of following relations:
• Disjointedness relations (DR): if σi and σj are disjoint, then σiσj = σjσi;
• Adjacency relations (AR): if σi, σj have a common vertex, then σiσjσi = σjσiσj;
• Nodal relations (NR): if {σ1, σ2, σ3} have only one common vertex and they are clockwise
oriented (Figure 1.2), then
σ1σ2σ3σ1 = σ2σ3σ1σ2 ;
• Pseudocycle relations (PR): if σ1 . . . σm is a pseudocycle and σ1 is not the start edge or
σm the end edge of a reverse (Figure 1.3), then
σ1σ2 · · · σm−1 = σ2σ3 · · · σm .
4. 4 VERSHININ
σ
1
σ2
σ
3
Figure 1.2. Nodal relation.
σ2
σ1
σm σ
1
σ2
σ
σ
3
4
Figure 1.3. Pseudocycle relation; on the left σ1σ2 · · · σm−1 = σ2 · · · σm = · · · =
σm · · · σm−2. On the right σ1σ2σ2
3 = σ2σ2
3σ4 = σ2
3σ4σ1 and σ3σ4σ1σ2 = σ4σ1σ2σ3.
Remark 1.1. Theorem 1.1 is true for infinite graphs. Let Γ be the direct limit of its finite
subgraphs Γi, then the braid group BrΓ is the direct limit of the subgroups BrΓi
.
The graph presentation of Sergiescu underlines the geometric character of braids, its con-
nection with configuration spaces. In this survey we confirm this proposing a thesis: for every
generalization of braids of geometric character there exists a graph presentation.
Birman, Ko and Lee [14] introduced the presentation with the generators ats with 1 ≤ s <
t ≤ n and relations
atsarq = arqats for (t − r)(t − q)(s − r)(s − q) > 0,
atsasr = atrats = asratr for 1 ≤ r < s < t ≤ n.
The generators ats are expressed by the canonical generators σi in the following form:
ats = (σt−1σt−2 · · · σs+1)σs(σ−1
s+1 · · · σ−1
t−2σ−1
t−1) for 1 ≤ s < t ≤ n.
Geometrically the generators as,t are depicted in Figure 1.4. These generators are very natural
and for this presentation Birman, Ko and Lee proposed an algorithm which solves the word
problem with the speed O(m2
n) while Garside algorithm [37] improved by W. Turston has a
speed O(m2
n log n), where m is the length of a word and n is the number of strands (see [30],
Corollary 9.5.3). The question of generalization of this presentation for other types of braids
was raised in [14].
In Section 2 we describe generalizations of braids that will be involved. In Section 3 we give
the presentations with few generators, in Section 4 we study graph-presentations in the sense
of V. Sergiescu and in Section 5 we give the Birman-Ko-Lee presentation for the singular braid
monoid. In Section 6 we describe the work of V. V. Chaynikov [20] on the word and conjugacy
problems for the singular braid monoid in Birman-Ko-Lee generators. In Sections 7 – 9 we
study inverse monoids of partial braids.
5. ABOUT PRESENTATIONS OF BRAID GROUPS AND THEIR GENERALIZATIONS 5
s
. . .
t
. . .. . .
Figure 1.4.
The author is thankful to the organizers of Knots in Poland III J´ozef Przytycki and Pawel
Trazcyk for the excellent conference.
2. Generalizations of Braids
It is interesting to obtain the analogues of the presentations mentioned in the Introduction
for various generalizations of braids [3], [13], [16], [27], [35], [80].
2.1. Artin-Brieskorn braid groups. Let I be a set and M = (mi,j), is a matrix, mi,j ∈
N+
∪ {∞}, i, j ∈ I with the following conditions: mi,i = 1 and mi,j > 1 for i = j. J. Tits in
[74] defines the Coxeter group of type M as a group with generators wi, i ∈ I and relations
(wiwj)mi,j
= e, i, j ∈ I.
The corresponding braid groups, which are called Artin-Tits groups have the elements si, i ∈ I
as the generators and the following set of defining relations:
prod(mi,j; si, sj) = prod(mj,i; sj, si),
where prod(m; x, y) denotes the product xyxy... (m factors).
Classification of irreducible finite Coxeter groups is well known (see for example Theorem
1, Chapter VI, §4 of [15]). It consists of the three infinite series: A, B and D as well as the
exceptional groups E6, E7, E8, F4, G2, H3, H4 and I2(p).
Let N be a finite set of cardinality n, say N = {v1, . . . , vn}. Let us equip elements of N with
the signs, i.e. let SN = {δ1v1, . . . , δnvn}, where δi = ±1. The Coxeter group W(Bn) of type B
can be interpreted as a group of signed permutations of the set SN:
(2.1) W(Bn) = {σ − bijection of SN : (−x)σ = −(x)σ for x ∈ SN}.
The generalized braid group (or Artin–Brieskorn group) Br(W) of W [16], [27] correspond to
the case of finite Coxeter group W. The classical braids on k strings Brk are obtained by this
construction if W is the symmetric group on k symbols. In this case mi,i+1 = 3, and mi,j = 2
if j = i, i + 1.
The braid group of type Bn has the canonical presentation with generators σi, i = 1, . . . , n−1
and τ, and relations:
(2.2)
σiσj = σjσi, if |i − j| > 1,
σiσi+1σi = σi+1σiσi+1,
τσi = σiτ, if i ≥ 2,
τσ1τσ1 = σ1τσ1τ.
6. 6 VERSHININ
This group can be identified with the fundamental group of the configuration space of distinct
points on the plane with one point deleted [52], [76], what is the same as the braid group on n
strands on the annulus, Brn(Ann). A geometric interpretation of generators τ, σ1, . . . , σn−1 is
given in Figure 2.1.
000111 000111 0011 000111
000
000
111
111
000
000
111
111
00
00
11
11
000
000
111
111
0011 0011 0011 0011
00
00
11
11
00
00
11
11
00
00
11
11
00
00
11
11
P1
P Pi i+1
σ iτ
Figure 2.1. Geometric interpretation of generators τ, σ1, . . . , σn−1 of Brn(Ann).
The braid groups of the type Dn has the canonical presentation with generators σi and ρ,
and relations:
(2.3)
σiσj = σjσi if |i − j| > 1,
σiσi+1σi = σi+1σiσi+1,
ρσi = σiρ if i = 1, 3, . . . , n − 1,
ρσ2ρ = σ2ρσ2.
Let V be a complex finite dimensional vector space. A pseudo-reflection of GL(V ) is a non
trivial element s of GL(V ) which acts trivially on a hyperplane, called the reflecting hyperplane
of s. Suppose that W is a finite subgroup of GL(V ) generated by pseudo-reflections; the
corresponding braid groups were studied by M. Brou´e, G. Malle and R. Rouquier [18] and
also by D. Bessis and J. Michel [12]. As in the classical case these groups can be defined as
fundamental groups of complement in V of the reflecting hyperplanes. The following classical
conjecture generalizes the case of braid groups:
The universal cover of complement in V of the reflecting hyperplane is contractible.
(See for example the book by Orlik and Terao [63], p. 163 & p. 259)
This conjecture was proved by David Bessis [11]. It means that these groups has naturally
defined finite dimensional manifold as K(π, 1)-spaces.
2.2. Braid groups on surfaces. Let Σ be surface. The nth braid group of Σ can be defined
as the fundamental group of configuration space of n points on Σ. Let Σ be a sphere. The
corresponding braid group Brn(S2
) has simple geometric interpretation as a group of isotopy
classes of braids lying in a layer between two concentric spheres. It has the presentation with
generators δi, i = 1, ..., n − 1, which satisfy the braid relations (1.1) and the following sphere
relation:
(2.4) δ1δ2 . . . δn−2δ2
n−1δn−2 . . . δ2δ1 = 1.
This presentation was found by O. Zariski [88] in 1936 and then rediscovered by E. Fadell and
J. Van Buskirk [32] in 1961.
7. ABOUT PRESENTATIONS OF BRAID GROUPS AND THEIR GENERALIZATIONS 7
Presentations of braid groups on all closed surfaces were obtained by G. P. Scott [71] and
others.
2.3. Braid-permutation group. Let BPn be the subgroup of Aut Fn, generated by both sets
of the automorphisms σi of (1.2) and ξi of the following form:
(2.5)
xi → xi+1,
xi+1 → xi,
xj → xj, j = i, i + 1,
This is the nth braid-permutation group introduced by R. Fenn, R. Rim´anyi and C. Rourke
[35] who gave a presentation of this group: it consists of the set of generators: {ξi, σi, i =
1, 2, ..., n − 1} such that σi satisfy the braid relations, ξi satisfy the symmetric group relations
and both of them the satisfy the following mixed relations:
(2.6)
σiξj = ξjσi, if |i − j| > 1,
ξiξi+1σi = σi+1ξiξi+1,
σiσi+1ξi = ξi+1σiσi+1.
The mixed relations for the braid-permutation group
R. Fenn, R. Rim´anyi and C. Rourke gave a geometric interpretation of BPn as a group of
welded braids.
This group was also studied by A. G. Savushkina [70] under the name of group of conjugating
automorphisms and notation Cn.
Braid-permutation group has an interesting geometric interpretation as a motion group. This
group was introduced in the PhD thesis of David Dahm, a student of Ralph Fox. It appeared in
literature in the paper of Deborah Goldsmith [41] and then studied by various authors, see, [44],
for instance. This is an analogue of the interpretation of the classical braid group as a mapping
class group of a punctured disc. Instead of n points in a disc we consider n unlinked unknotted
circles in a 3-ball. The fundamental group of the complement of n circles is also the free group
Fn. Interchanging of two neighbour points in the case of the braid group corresponds to an
automorphism (1.2) of the free group. In the case of circles this automorphism corresponds to
a motion of two neighbour circles when one of the circles is passing inside another one. Simple
interchange of two neighbour circles corresponds to the automorphism (2.5).
Another motivation for studing braid-permutation groups is given by the pure braid-permutation
group PΣn, the kernel of the canonical epimorphism BPn → Σn. In the context of the motion
group it is called as the group of loops, but it has even a longer history and is connected with
classical works of J. Nielsen [62] and W. Magnus [56] (see also [57]), as follows. Let us denote
the kernel of the natural map
Aut(Fn) → GL(n, Z)
by IAn. These groups are similar to the Torelli subgroups of the mapping class groups. Nielsen,
and Magnus gave automorphisms which generate IAn as a group. These automorphisms are
named as follows:
• χk,i for i = k with 1 ≤ i, k ≤ n, and
• θ(k; [s, t]) for k, s, t distinct integers with 1 ≤ k, s, t ≤ n and s < t.
8. 8 VERSHININ
The definition of the map χk,i is given by the formula
χk,i(xj) =
xj if k = j,
(x−1
i )(xk)(xi) if k = j.
The map θ(k; [s, t]) is defined by the formula
θ(k; [s, t])(xj) =
xj if k = j,
(xk) · ([xs, xt]) if k = j.
for which the commutator is given by [a, b] = a−1
· b−1
· a · b.
The group IA2 is isomorphic to the group of inner automorphisms Inn(F2), which is isomor-
phic to the free group F2. The group IA3 is not finitely presented [51].
Consider the subgroup of IAn generated by the χk,i, the group of basis conjugating automor-
phisms of a free group. This is exactly PΣn. McCool gave a presentation for it [59].
The cohomology of PΣn was computed by C. Jensen, J. McCammond, and J. Meier [44].
N. Kawazumi [47], T. Sakasai [68], T. Satoh [69] and A. Pettet [66] have given related cohomo-
logical information for IAn. The integral cohomology of the natural direct limit of the groups
Aut(Fn) is given in work of S. Galatius [36].
Theorem 2.1. (A. G. Savushkina [70]) The group BPn is the semi-direct product of the sym-
metric group on n-letters Σn and the group PΣn with a split extension
1 −−−→ PΣn −−−→ BPn −−−→ Σn −−−→ 1.
The Lie algebra structure obtained from the descending central series of the group PΣn was
studied by F. R. Cohen, J. Pakianathan, V. V. Vershinin and J. Wu [21] and by B. Berceanu
and S. Papadima [9]. Certain subgroups of PΣn were studied by V. Bardakov and R. Mikhailov
[6].
2.4. Singular braid monoid. The set of singular braids on n strands, up to isotopy, forms
a monoid. This is the singular braid monoid or Baez–Birman monoid SBn [3], [13]. It can be
presented as the monoid with generators gi, g−1
i , xi, i = 1, . . . , n − 1, and relations
σiσj = σjσi, if |i − j| > 1,
xixj = xjxi, if |i − j| > 1,
xiσj = σjxi, if |i − j| = 1,
σiσi+1σi = σi+1σiσi+1,
σiσi+1xi = xi+1σiσi+1,
σi+1σixi+1 = xiσi+1σi,
σiσ−1
i = σ−1
i σi = 1.
In pictures σi corresponds to canonical generator of the braid group and xi represents an
intersection of the ith and (i + 1)th strand as in Figure 2.2. The singular braid monoid on two
strings is isomorphic to Z ⊕ Z+
. This monoid embeds in a group SGn [34] which is called the
singular braid group:
SBn → SGn.
So, in SGn the elements xi become invertible and all relations of SBn remain true.
9. ABOUT PRESENTATIONS OF BRAID GROUPS AND THEIR GENERALIZATIONS 9
t
❆
❆
❆
❆
❆
❆
❆
❆
❆
❆
✁
✁
✁
✁
✁
✁
✁
✁
✁
✁
1 i − 1 i i + 1i + 2 n
. . . . . .
Figure 2.2.
Principal motivations for study of the singular braid monoid lie in the Vassiliev theory of finite
type invariants [75]. Essential step in this theory is that a link invariant is extended from usual
links to singular ones. Singular links and singular braids are connected via singular versions of
Alexander theorem proved by Birman [13] and Markov theorem proved by B. Gemein [38], so
that as well as in the classical case a singular link is an equivalence class (by conjugation and
stabilization) of singular braids. Therefore the study of singular braid monoid especially such
questions as conjugation problem is interesting not only because of its general importance in
Algebra but because of the connections with Knot Theory.
2.5. Other generalizations of braids that are not considered in the paper. Garside’s
solution of the word and conjugacy problems for braids had a great influence for the subsequent
research on braids. Tools developed by Garside were put as the definitions for Gaussian and
Garside groups [26], [24] or even Garside groupoids [50]. The later notion is connected also
with the mapping class groups.
Another direction of generalizations are the parenthesized braids [43], [17], [25]. Motivations
for these studies are on the other hand in D. Bar-Natan’s works on noncommutative tangles
[4], [5] and on the other hand in connections with Thompson’s group [19].
3. Presentations of generalizations of braids with few generators
The presentation with two generators gives an economic way (from the point of view of
generators) to have a vision of the braid group. We give here the extension of this presentation
for the natural generalizations of braids. The results of this section were obtained in [83].
3.1. Artin-Brieskorn groups and complex reflexion groups. For the braid groups of type
Bn from the canonical presentation (2.2) we obtain the presentation with three generators σ1,
σ and τ and the following relations:
(3.1)
σ1σi
σ1σ−i
= σi
σ1σ−i
σ1 for 2 ≤ i ≤ n/2,
σn
= (σσ1)n−1
,
τσi
σ1σ−i
= σi
σ1σ−i
τ for 2 ≤ i ≤ n − 2,
τσ1τσ1 = σ1τσ1τ.
If we add the following relations
σ2
1 = 1,
τ2
= 1
to (3.1) we then arrive at a presentation of the Coxeter group of type Bn.
10. 10 VERSHININ
Similarly, for the braid groups of the type Dn from the canonical presentation (2.3) we can
obtain the presentation with three generators σ1, σ and ρ and the following relations:
(3.2)
σ1σi
σ1σ−i
= σi
σ1σ−i
σ1 for 2 ≤ i ≤ n/2,
σn
= (σσ1)n−1
,
ρσi
σ1σ−i
= σi
σ1σ−i
ρ for i = 0, 2, . . . , n − 2,
ρσσ1σ−1
ρ = σσ1σ−1
ρσσ1σ−1
.
If we add the following relations
σ2
1 = 1,
ρ2
= 1
to (3.2) we come to a presentation of the Coxeter group of type Dn.
For the exceptional braid groups of types E6 − E8 our presentations look similar to the
presentation for the groups of type D (3.2). We give it here for E8: it has three generators σ1,
σ and ω and the following relations:
(3.3)
σ1σi
σ1σ−i
= σi
σ1σ−i
σ1 for i = 2, 3, 4,
σ8
= (σσ1)7
,
ωσi
σ1σ−i
= σi
σ1σ−i
ω for i = 0, 1, 3, 4, 5, 6,
ωσ2
σ1σ−2
ω = σ2
σ1σ−2
ωσ2
σ1σ−2
.
Similarly, if we add the following relations
σ2
1 = 1,
ω2
= 1
to (3.3) we arrive at a presentation of the Coxeter group of type E8.
As for the other exceptional braid groups, F4 has four generators and it follows from its
Coxeter diagram that there is no sense to speak about analogues of the Artin presentation
(1.5), G2 and I2(p) already have two generators and H3 has three generators. For H4 it is
possible to diminish the number of generators from four to three and the presentation will be
similar to that of B4.
We can summarize informally what we were doing. Let a group have a presentation which
can be expressed by a “Coxeter-like” graph. If there exists a linear subgraph corresponding to
the standard presentation of the classical braid group, then in the “braid-like” presentation of
our group the part that corresponds to the linear subgraph can be replaced by two generators
and relations (1.5). This recipe can be applied to the complex reflection groups [73] whose
“Coxeter-like” presentations is obtained in [18], [12]. For the series of the complex braid groups
B(2e, e, r), e ≥ 2, r ≥ 2 which correspond to the complex reflection groups G(de, e, r), d ≥ 2
[18] we take the linear subgraph with nodes τ2, . . . , τr, and put as above τ = τ2 . . . τr. The
11. ABOUT PRESENTATIONS OF BRAID GROUPS AND THEIR GENERALIZATIONS 11
group B(2e, e, r) have presentation with generators τ2, τ, σ, τ′
2 and relations
(3.4)
τ2τi
τ2τ−i
= τi
τ2τ−i
τ2 for 2 ≤ i ≤ r/2,
τr
= (ττ2)r−1
,
στi
τ2τ−i
= τi
τ2τ−i
σ, for 1 ≤ i ≤ r − 2,
στ′
2τ2 = τ′
2τ2σ,
τ′
2ττ2τ−1
τ′
2 = ττ2τ−1
τ′
2ττ2τ−1
,
ττ2τ−1
τ′
2τ2ττ2τ−1
τ′
2τ2 = τ′
2τ2ττ2τ−1
τ′
2τ2ττ2τ−1
,
τ2στ′
2τ2τ′
2τ2τ′
2 . . .
e+1 factors
= στ′
2τ2τ′
2τ2τ′
2τ2 . . .
e+1 factors
.
If we add the following relations
σd
= 1,
τ2
2 = 1,
τ2
′2
= 1
to (3.4) we come to a presentation of the complex reflection group G(de, e, r).
The braid group B(d, 1, n), d > 1, has the same presentation as the Artin – Brieskorn group
of type Bn, but if we add the following relations
σ2
1 = 1,
τd
= 1
to (3.1) then we arrive at a presentation of the complex reflection group G(d, 1, n), d ≥ 2.
For the series of braid groups B(e, e, r), e ≥ 2, r ≥ 3 which correspond to the complex
reflection groups G(e, e, r), e ≥ 2, r ≥ 3 we take again the linear subgraph with the nodes
τ2, . . . , τr, and put as above τ = τ2 . . . τr. The group B(e, e, r) may have the presentation with
generators τ2, τ, τ′
2 and relations
(3.5)
τ2τi
τ2τ−i
= τi
τ2τ−i
τ2 for 2 ≤ i ≤ r/2,
τr
= (ττ2)r−1
,
τ′
2ττ2τ−1
τ′
2 = ττ2τ−1
τ′
2ττ2τ−1
,
ττ2τ−1
τ′
2τ2ττ2τ−1
τ′
2τ2 = τ′
2τ2ττ2τ−1
τ′
2τ2ττ2τ−1
,
τ2τ′
2τ2τ′
2τ2τ′
2 . . .
e factors
= τ′
2τ2τ′
2τ2τ′
2τ2 . . .
e factors
.
If e = 2 then this is precisely the presentation for the Artin – Brieskorn group of type Dr (3.2).
If we add the following relations
τ2
2 = 1,
τ2
′2
= 1
to (3.5), then we obtain a presentation of the complex reflection group G(e, e, r), e ≥ 2, r ≥ 3.
As for the exceptional (complex) braid groups, it is reasonable to consider the groups Br(G30),
Br(G33) and Br(G34) which correspond to the complex reflection groups G30, G33 and G34.
The presentation for Br(G30) is similar to the presentation (3.1) of Br(B4) with the last
relation replaced by the relation of length 5: the three generators σ1, σ and τ and the following
12. 12 VERSHININ
relations:
(3.6)
σ1σ2
σ1σ−2
= σ2
σ1σ−2
σ1,
σ4
= (σσ1)3
,
τσi
σ1σ−i
= σi
σ1σ−i
τ for i = 2, 3,
τσ1τσ1τ = σ1τσ1τσ1.
If we add the following relations
σ2
1 = 1,
τ2
= 1
to (3.6), then we obtain a presentation of complex reflection group G30.
As for the groups Br(G33) and Br(G34), we give here the presentation for the latter one
because the “Coxeter-like” graph for Br(G33) has one node less in the linear subgraph (discussed
earlier) than that of Br(G34). This presentation has the three generators s, z (z = stuvx in
the reflection generators) and w and the following relations:
(3.7)
szi
sz−i
= zi
sz−i
s for i = 2, 3,
z6
= (zs)5
,
wzi
sw−i
= zi
sz−i
w for i = 0, 3, 4,
wzi
sz−i
w = zi
sz−i
wzi
sz−i
for i = 1, 2,
wz2
sz−2
wzsz−1
wz2
sz−2
= zsz−1
wz2
sz−2
wzsz−1
w.
In the same way if we add the following relations
s2
= 1,
w2
= 1
to (3.7), then we come to a presentation of the complex reflection group G34.
We can obtain presentations with few generators for the other complex reflection groups
using the already observed presentations of the braid groups. For G25 and G32 we can use the
presentations (1.5) for the classical braid groups Br4 and Br5 with the only additional relation
σ3
1 = 1.
3.2. Sphere braid groups: few generators. It has two generators δ1, δ which satisfy re-
lations (1.5) (where σ1 is replaced by δ1, and σ is replaced by δ) and the following sphere
relation:
δn
(δ1δ−1
)n−1
= 1.
3.3. Braid-permutation groups. For the case of the braid-permutation group BPn we add
the new generator σ, defined by (1.3) to the set of standard generators of BPn; then relations
(1.4) and the following relations hold
ξi+1 = σi
ξ1σ−i
, i = 1, . . . , n − 2.
This gives a possibility to get rid of ξi as well as of σi for i ≥ 2.
13. ABOUT PRESENTATIONS OF BRAID GROUPS AND THEIR GENERALIZATIONS 13
Theorem 3.1. The braid-permutation group BPn has a presentation with generators σ1, σ,
and ξ1 and relations
σ1σi
σ1σ−i
= σi
σ1σ−i
σ1 for 2 ≤ i ≤ n/2,
σn
= (σσ1)n−1
,
ξ1σi
σ1σ−i
= σi
σ1σ−i
ξ1 for i = 2 . . . n − 2,
ξ1σi
ξ1σ−i
= σi
ξ1σ−i
ξ1 for i = 2 . . . n − 2,
ξ1σξ1σ−1
σ1 = σσ1σ−1
ξ1σξ1σ−1
,
ξ1σξ1σ−1
ξ1 = σξ1σ−1
ξ1σξ1σ−1
,
ξ2
= 1.
3.4. Few generators for the singular braid monoid. If we add the new generator σ,
defined by (1.3) to the set of generators of SBn then the following relations hold
(3.8) xi+1 = σi
x1σ−i
, i = 1, . . . n − 2.
This gives a possibility to get rid of xi, i ≥ 2.
Theorem 3.2. The singular braid monoid SBn has a presentation with generators σ1, σ−1
1 , σ,
σ−1
and x1 and relations
(3.9)
σ1σi
σ1σ−i
= σi
σ1σ−i
σ1 for 2 ≤ i ≤ n/2,
σn
= (σσ1)n−1
,
x1σi
σ1σ−i
= σi
σ1σ−i
x1 for i = 0, 2, . . . , n − 2,
x1σi
x1σ−i
= σi
x1σ−i
x1 for 2 ≤ i ≤ n/2,
σn
x1 = x1σn
,
x1σσ1σ−1
σ1 = σσ1σ−1
σ1σx1σ−1
,
σ1σ−1
1 = σ−1
1 σ1 = 1,
σσ−1
= σ−1
σ = 1.
4. Graph-presentations
4.1. Braid groups of type B via graphs. Graph presentations for the braid groups of the
type B and for the singular braid monoid were studied by the author. We recall that the group
Brn(Ann) embeds in the braid group Brn+1 as the subgroup of braids with the first strand
fixed.
In the following we consider a normal planar graph Γ such that there exists a distinguished
vertex v and such that the graph Γ minus the vertex v and all the edges adjacent to v is
connected also. We call such Γ a 1-punctured graph.
Theorem 4.1. Let Γ be a 1-punctured graph with n + 1 vertices. The braid group Brn(Ann)
admits the presentation XΓ | RΓ , where XΓ = {σa, τb | a is an edge of Γ not adjacent to the
distinguished vertex v and b is an edge adjacent to v} and RΓ is the following set of relations:
• Disjointedness relations (DR): if the edges a and c (respectively b and c) are disjoint,
then σaσc = σcσa (respectively τbσc = σcτb);
• Adjacency relations (AR): if the edges a and c (respectively b and c) have a common
vertex, then σaσcσa = σcσaσc (τbσcτbσc = σcτbσcτb);
14. 14 VERSHININ
• Nodal relations (NR): Let a, b, c be three edges such that they have only one common
vertex and they are clockwise ordered. If the edges a, b, c are not adjacent to v, then
σaσbσcσa = σbσcσaσb ;
if the edges a, c are not adjacent to v and b is adjacent to v, then
σaσbτcσa = σbτcσaσb ;
τbσcσaτbσc = σaτbσcσaτb ;
• pseudocycle relations (PR): if the edges a1, . . . , am form a pseudocycle, a1 is not the
start edge or am the end edge of a reverse and all ai are not adjacent to v, then
σa1 σa2 · · ·σam−1 = σa2 σa3 · · · σam .
If a1, am are adjacent to v, then
τa1 σa2 · · ·σam−1 = σa2 σa3 · · · τam .
Remark 4.1. As in Theorem 1.1, the nodal relation (NR) implies also the equality
σaσbσcσa = σbσcσaσb = σcσaσbσc .
The geometric interpretation of generators is the following. The distinguished vertex corre-
sponds to the deleted point of the plane. To any edge a that is not adjacent to v we associate
the corresponding positive half twist. To any edge b adjacent to v we associate the braid τb as
in Figure 4.1.
Remark 4.2. This Theorem as well as Theorem 1.1 is true for infinite graphs via the direct
limit arguments.
001100001111 000000111111
00001111
00110011 000111
0001110011v
b
00001111000000111111
000
000
111
1110011
τb
Figure 4.1. Geometric interpretation of τb.
To prove the relation τbσcσaτbσc = σaτbσcσaτb we add two edges d and e, with their correspond-
ing braids τd and τe as in Figure 4.2. The braid τd is equivalent to the braid σ−1
c τbσc and the
braid τe is equivalent to the braid σaτbσ−1
a . Then the braids σ−1
c τbσc and σa commute, as well as
σaτbσ−1
a and σc. So we have the following equalities, that can be easily verified on corresponding
braids:
τbσcσaτbσc = σcσ−1
c τbσcσaτbσc = σcσaσ−1
c τbσcτbσc =
σcσaσ−1
c σcτbσcτb = σcσaτbσ−1
a σaσcτb = σaτbσ−1
a σcσaσcτb = σaτbσcσaτb .
Corollary 4.1. The automorphism group of Brn(Ann) contains a group isomorphic to the
dihedral group Dn−1.
15. ABOUT PRESENTATIONS OF BRAID GROUPS AND THEIR GENERALIZATIONS 15
v
b
d
e
a
c
Figure 4.2. Nodal relation τbσcσaτbσc = σaτbσcσaτb holds in BΓ(Ann).
One can associate to the graph given in Figure 4.3 a presentation for Brn(Ann).
an
a1 a2
v
Figure 4.3. A graph associated to Brn(Ann).
It is possible generalize such approach to braid groups on a planar surface, i.e. a surface
of genus 0 with l > 1 boundary components. In this case one considers a normal planar
graph with k (= l − 1) distinguished vertices v1, . . . , vk such that there are no edges connecting
distinguished vertices and such that the graph Γ minus the vertices v1, . . . , vk and all the edges
adjacent to v1, . . . , vk is also connected. We label by {τ1,j, . . . , τm,j} the edges adjacent to vj
and by {σ1, . . . , σp} the edges disjoint from the set {v1, . . . , vk}. We say that Γ is a k-punctured
graph. As in Theorem 4.1 one can associate to any k-punctured graph Γ on n vertices a set
of generators for the braid group on n strands on surface of genus 0 with k + 1 boundary
components, with the above geometrical interpretation of generators.
4.2. Graph-presentations for the surface braid groups. These presentations were con-
sidered in [8]. Let Γ be a normal graph on an orientable surface Σ and S(Γ) denotes the set of
vertices of Γ. In the same way as earlier we associate to the edges of Γ the corresponding geo-
metric braids on Σ (Figure 1.1) and we define BrΓ(Σ) as the subgroup of Br|S(Γ)|(Σ) generated
by these braids.
Proposition 4.1. Let Σ be an oriented surface such that π1(Σ) = 1 and let Γ be a normal
graph on Σ. Then BrΓ(Σ) is a proper subgroup of Br|S(Γ)|(Σ).
4.3. Sphere braid groups presentations via graphs. Now let the surface Σ be a sphere S2
and Γ denotes a normal finite graph on this sphere. We define a pseudocycle as in Introduction:
we consider the set S2
Γ as the disjoint union of a finite number of open disks D1, . . . , Dm,
m > 1 and define the pseudocycle associated to Dj exactly in the same way.
Let ∆ be a maximal tree of a normal graph Γ on q + 1 vertices. Then ∆ has q edges. Let
v1, v2 be two vertices adjacent to the same edge σ of ∆. Write σ(f1) for σ. We define the circuit
σ(f1) . . . σ(f2q) as follows:
-if the vertex vj+1 is not uni-valent, then σ(fj+1) is the first edge on the left of σ(fj) (we
consider σ(fj) going from vj to vj+1) and the vertex vj+2 is the other vertex adjacent to σ(fj+1);
-if the vertex vj+1 is uni-valent, then σ(fj+1) = σ(fj) and vj+2 = vj.
16. 16 VERSHININ
This way we come back to v1 after passing twice through each edge of ∆. Write δv1,v2 (∆) for
the word in XΓ corresponding to the circuit σ(f1) . . . σ(f2q) (Figure 4.4).
0011
0011
0011
0011
0011
0011
0011
00
0
11
1
ε
δ
σ
β
α
γ
ζ
x
y
Figure 4.4. δx,y(∆) = σα2
β2
σγδ2
ǫ2
γζ2
and δy,x(∆) = σγδ2
ǫ2
γζ2
σα2
β2
.
Theorem 4.2. Let Γ be a normal graph with n vertices. The braid group Brn(S2
) admits a
presentation XΓ | RΓ , where XΓ = {σ | σ is an edge of Γ} and RΓ is the set of following
relations:
Disjointedness relations (DR); Nodal relations (NR) (Figure 1.2); Pseudocycle relations (PR)
(Figure 1.3), exactly as in Theorem 1.1 and the new
Tree relations (TR): δx, y(∆) = 1, for every maximal tree ∆ of Γ and every ordered pair of
vertices x, y such that they are adjacent to the same edge σ of ∆.
Remark 4.3. The statement of Theorem 4.2 is highly redundant. For instance one can show
that a relation (TR) on a given maximal tree of Γ, together with the relations (DR), (AR),
(NR) and (PR), generate the (TR) relation for any other maximal tree of Γ. Anyway, these
presentations are symmetric and one can read off the relations from the geometry of Γ.
Remark 4.4. Let γ ⊆ Γ be a star (a graph which consists of several edges joined in one point).
For any clockwise ordered subset {σi1 , . . . , σij
| j ≥ 2 } of edges of γ the following relation holds
in the group XΓ | RΓ :
σi1 . . . σij
σi1 = σij
σi1 . . . σij
.
4.3.1. Geometric interpretation of relations. It is geometrically evident that the relations (AR)
and (DR) hold in BrΓ(S2
). Let Γ contain a triangle σ1, σ2, τ as in Figure 4.5. Corresponding
σ σ
τ
1 2
Figure 4.5. Adding or removing a triangle.
braids satisfy the relation τ = σ1σ2σ−1
1 and thus τσ1 = σ1σ2 in BrΓ(S2
). The relation σ1σ2 =
σ2τ follows from the braid relation σ1σ2σ−1
1 = σ−1
2 σ1σ2. Let σ1, σ2, σ3 be arranged as in Fig-
ure 4.6. We add three edges τ1, τ2, τ3. The nodal relation follows from the pseudocycle relations
on triangles τ1σ2σ3, τ2σ1σ3 and τ3σ1σ2. In fact, σ1σ2σ3σ1 = σ2τ3σ3σ1 = σ2σ3τ3σ1 = σ2σ3σ1σ2.
All other pseudocycle relations follow from induction on the length of the cycle.
17. ABOUT PRESENTATIONS OF BRAID GROUPS AND THEIR GENERALIZATIONS 17
σ
2
σ
3
1
σ
τ
τ
τ
1
2
3
Figure 4.6. Nodal relation holds in BΓ(S2
).
Let ∆ be a maximal tree of Γ. Let σ be an edge of ∆ and let x, y be the two adjacent vertices.
The element δx,y(∆) corresponds to a (pure) braid such that the braid obtained by removing
the string starting from the vertex x is isotopic to the trivial braid. This string goes around
(with clockwise orientation) all other vertices (Figure 4.7 on the left). The braid δx,y(∆) is
isotopic to the trivial braid in BrΓ(S2
) and so δx,y(∆) = 1 (Figure 4.7). Therefore the natural
map φΓ : XΓ | RΓ → BrΓ(S2
) is a homomorphism.
001100001111
00001111 0000111100001111
00110011
00001111 0000111100001111
τ
Γ
x
y
001100001111
00001111 0000111100001111
00110011
00001111 0000111100001111
Γ
x
y
τ
Figure 4.7. The braid δx,σ(∆) associated to the tree ∆ = Γ τ.
4.4. Singular braids and graphs. As in the case of classical braids, one can extend the group
Brn(Σ) to the monoid SBn(Σ) of singular braids on n strands on the surface Σ. Presentations
for this monoid are given in [7] and [42].
In this section we provide presentations by graphs for the monoid SBn and for the monoid
SBn(Ann) of singular braids on n strands of the annulus.
Let Γ be a normal planar graph. We associate to any edge a three singular braids: σa will de-
note the positive half-twist associated to a (as in Figure 1.1), σ−1
a will denote the corresponding
negative half-twist and xa the corresponding singular crossing.
Theorem 4.3. Let Γ be a normal planar graph with n vertices. The singular braid monoid SBn
has the presentation XΓ, RΓ where XΓ = {σa, σ−1
a , xa| a is an edge of Γ} and RΓ is formed
by the following six types of relations:
• disjointedness: if the edges a and b are disjoint, then
σaσb = σbσa, xaxb = xbxa, σaxb = xbσa,
18. 18 VERSHININ
• commutativity:
σaxa = xaσa,
• invertibility:
σaσ−1
a = σ−1
a σa = 1,
• adjacency: if the edges a and b have a common vertex, then
σaσbσa = σbσaσb,
xaσbσa = σbσaxb,
• nodal: if the edges a, b and c have a common vertex and are placed clockwise, then
σaσbσcσa = σbσcσaσb = σcσaσbσc,
xaσbσcσa = σaσbσcxa,
σaσbxcσa = σbxcσaσb,
xaσbxcσa = σbxcσaxb,
• pseudocycle: if the edges a1, . . . , an form an irreducible pseudocycle and if a1 is not the
starting edge nor an is the end edge of a reverse, then
σa1 . . . σan−1 = σa2 . . . σan ,
xa1 σa2 . . . σan−1 = σa2 . . . σan−1 xan .
The last aim of this section is to give graph presentations for the singular braid monoid on
n strands of the annulus.
Theorem 4.4. The singular braid monoid on n strands of the annulus SBn(Ann) admits the
following presentation:
-Generators: σi, σ−1
i , xi, (i = 1, . . . , n − 1), τ, τ−1
.
-Relations:
(R1) σiσj = σjσi, if |i − j| > 1 ;
(R2) xixj = xjxi, if |i − j| > 1 ;
(R3) xiσj = σjxi, if |i − j| = 1 ;
(R4) σiσi+1σi = σi+1σiσi+1 ;
(R5) σiσi+1xi = xi+1σiσi+1 ;
(R6) σi+1σixi+1 = xiσi+1σi ;
(R7) τσ1τσ1 = σ1τσ1τ ;
(R8) τσ1τx1 = x1τσ1τ,
(R9) τσi = σiτ, if i ≥ 2 ;
(R10) τxi = xiτ, if i ≥ 2 ;
(R11) σiσ−1
i = σ−1
i σi = ττ−1
= τ−1
τ = 1.
The geometric interpretation of σi and τ is given in Figure 2.1.
We get the Reidemeister moves for singular knot theory in a solid torus if we add the move
depicted on Figure 4.8 to the regular (without singularities) Reidemeister moves of knot theory
in a solid torus. This Reidemeister move means how a singular point goes around the axis of the
torus (fixed string). The proof that the list R1-R11 is a complete set of relations is standard:
19. ABOUT PRESENTATIONS OF BRAID GROUPS AND THEIR GENERALIZATIONS 19
0001110011 0011 0011
0001110011 0011 0011 00110011 0011 0011
00110011 0011 0011
Figure 4.8. The words τσ1τx1 and x1τσ1τ represent the same element in SBn(Ann).
every isotopy can be decomposed in a sequence of elementary isotopies which correspond to
relations R1-R11 (see also [42]).
Remark 4.5. The singular braid monoid on n strands of the annulus differs from the singular
Artin monoid of type B as defined by R. Corran [22], where the numbers of singular and
regular generators are the same. The singular generator associated to τ can not be interpreted
geometrically as above.
As in Subsection 4.1 we consider 1-punctured graphs. To any edge a disjoint from the
distinguished vertex v of Γ we associate three singular braids: σa will denote the positive half-
twist associated to a, σ−1
a will denote the corresponding negative half-twist and τa denotes the
corresponding singular crossing.
The graph presentations for the singular braid monoid in the solid torus arise from Theo-
rems 4.3 and 4.4.
Theorem 4.5. Let Γ be a one-punctured graph on n vertices. The monoid SBn(Ann) admits
the presentation XΓ, RΓ , where
-XΓ = {σa, σ−1
a , xa, τb, τ−1
b }, for any edge a of Γ not incident with the distinguished vertex v,
and for any edge b of Γ adjacent to the distinguished vertex v;
- RΓ is formed by the relations given in Theorems 4.1 and 4.3 and the following new nodal
and invertibility relations:
σaτbσcxa = xcσaτbσc,
τbσcσaτbxc = xaτbσcσaτb,
τbτ−1
b = τ−1
b τb = 1.
5. Birman – Ko – Lee presentation for the singular braid monoid
The analogue of the presentation of Birman, Ko and Lee for the singular braid monoid was
given in [85]. For 1 ≤ s < t ≤ n and 1 ≤ p < q ≤ n we consider the elements of SBn which are
defined by
ats = (σt−1σt−2 · · · σs+1)σs(σ−1
s+1 · · · σ−1
t−2σ−1
t−1) for 1 ≤ s < t ≤ n,
a−1
ts = (σt−1σt−2 · · · σs+1)σ−1
s (σ−1
s+1 · · ·σ−1
t−2σ−1
t−1) for 1 ≤ s < t ≤ n,
bqp = (σq−1σq−2 · · · σp+1)xp(σ−1
p+1 · · · σ−1
q−2σ−1
q−1) for 1 ≤ p < q ≤ n.
Geometrically the generators as,t and bs,t are depicted in Figure 5.1.
20. 20 VERSHININ
s
. . .
t
. . .. . .
s
. . .
t
. . .. . .
Figure 5.1.
Theorem 5.1. The singular braid monoid SBn has a presentation with generators ats, a−1
ts for
1 ≤ s < t ≤ n and bqp for 1 ≤ p < q ≤ n and relations
(5.1)
atsarq = arqats for (t − r)(t − q)(s − r)(s − q) > 0,
atsasr = atrats = asratr for 1 ≤ r < s < t ≤ n,
atsa−1
ts = a−1
ts ats = 1 for 1 ≤ s < t ≤ n,
atsbrq = brqats for (t − r)(t − q)(s − r)(s − q) > 0,
atsbts = btsats for 1 ≤ s < t ≤ n,
atsbsr = btrats for 1 ≤ r < s < t ≤ n,
asrbtr = btsasr for 1 ≤ r < s < t ≤ n,
atrbts = bsratr for 1 ≤ r < s < t ≤ n,
btsbrq = brqbts for (t − r)(t − q)(s − r)(s − q) > 0.
Now we consider the positive singular braid monoid SBKL+
n with respect to generators ats
and bt,s for 1 ≤ s < t ≤ n. Its relations are (5.1) except the one concerning the invertibility
of ats. Two positive words A and B in the alphabet ats and bt,s will be said to be positively
equivalent if they are equal as elements of this monoid. In this case we shall write A
.
= B.
The fundamental word δ of Birman, Ko and Lee is given by the formula
δ ≡ an(n−1)a(n−1)(n−2) . . . a21 ≡ σn−1σn−2 . . . σ2σ1.
Its divisibility by any generator ats, proved in [14], is convenient for us to be expressed in the
following form.
Proposition 5.1. The fundamental word δ is positively equivalent to a word that begins or
ends with any given generator ats. The explicit expression for left divisibility is
δ
.
= atsan(n−1)a(n−1)(n−2) . . . a(t+1)sat(t−1) . . . a(s+2)(s+1)as(s−1) . . . a21.
Proposition 5.2. For the fundamental word δ there are the following formulae of commutation
atsδ
.
= δa(t+1)(s+1) for 1 ≤ s < t < n,
ansδ
.
= δa(s+1)1,
btsδ
.
= δb(t+1)(s+1) for 1 ≤ s < t < n,
bnsδ
.
= δb(s+1)1.
Geometrically this commutation is shown on Figure 5.2 and on Figure 5.3.
21. ABOUT PRESENTATIONS OF BRAID GROUPS AND THEIR GENERALIZATIONS 21
=
Figure 5.2.
=
Figure 5.3.
The analogues of the other results proved by Birman, Ko and Lee remain valid for the singular
braid monoid. They are proved in the work of V. V. Chaynikov [20].
6. The work of V. V. Chaynikov
6.1. Cancellation property. Let W1, W2 ∈SBKL+
n . By a common multiple of W1, W2 (if it
exists) we mean a positive word V
.
= W1V1
.
= W2V2.
Let
δsk...s1 ≡ asks(k−1)
as(k−1)s(k−2)
. . . as21 ,
where n ≥ sk > sk−1 > · · · > s1 ≥ 1. The word δsk...s1 is the least common multiple (l.c.m.) of
the generators aij, where i, j ∈ {sk, s(k−1), . . . s1}, see [14], δ ≡ δn(n−1)...1.
We denote the least common multiple of X, Y by X ∨ Y . Define (X ∨ Y )∗
X and (X ∨ Y )∗
Y by
equations:
X ∨ Y
.
= X(X ∨ Y )∗
X
.
= Y (X ∨ Y )∗
Y .
Similarly, we denote the greatest common divisor (g.c.d.) of X, Y by X ∧ Y . The semigroup
BKL+
n is a lattice relative to ∨, ∧ [14].
Remark 6.1. We give the table of l.c.m. for some pairs of generators below. There does not
exist X ∨ Y for the rest pairs of SBKL+
n generators.
22. 22 VERSHININ
X Y X ∨ Y
ˆats ˆarq ˆats(ˆarq)
.
= ˆarq(ˆats) (t − r)(t − q)(s − r)(s − q) > 0
ats(asr)
.
= atr(ats)
.
= asr(atr) t > s > r
ats arq atsatrasq
.
= arqatq(ars)
.
= δtrsq t > r > s > q
ats bts ats(bts)
.
= bts(ats) t > s > r
asr btr ats(bsr)
.
= btr(ats) t > s > r
asr bts asr(btr)
.
= bts(asr) t > s > r
ats bsr ats(asrbts)
.
= bsr(δtsr) t > s > r
asr btr asr(atrbsr)
.
= btr(δtsr) t > s > r
atr bts atr(atsbtr)
.
= bts(δtsr) t > s > r
ats brq ats(δtrqbts)
.
= bts(δtrsq) t > r > s > q
arq bts arq(atqarsbrq)
.
= bts(δtrsq) t > r > s > q
Here the symbol ˆaij ∈ {aij, bij}, mean the same symbol in both parts of one equality.
We call the pairs of generator from the table above admissible and all other pairs inadmissible.
Observe that pairs {aij, apm}, {aij, bpm} are admissible and {bij, bpm} is admissible if and only
if bijbpm = bpmbij is the defining relation of SBn.
Theorem 6.1 (Left cancellation). i)Let {x, y} be an admissible pair and xX
.
= yY . Then
there exists a positive word Z such that xX
.
= yY
.
= (x ∨ y)Z, where X
.
= (x ∨ y)∗
xZ and
Y
.
= (x ∨ y)∗
yZ.
ii) If the pair {x, y} is inadmissible then the equality xX
.
= yY is impossible (so there does
not exist a common multiple for {x, y}).
Similarly we can obtain the Right cancellation property.
Corollary 6.1. If A
.
= P, B
.
= Q, AXB
.
= PY Q, then the equality X
.
= Y holds in SBKL+
n .
Corollary 6.2. Suppose that δ is the l.c.m. of the set of generators {ai1j1 , . . . , aipjp } and W is
a positive word such that either
W
.
= ai1j1 A1
.
= ai2j2 A2
.
= . . .
.
= aipjp Ap,
or
W
.
= B1ai1j1
.
= B2ai2j2
.
= . . .
.
= Bpaipjp,
then W
.
= δZ for some positive word Z.
Corollary 6.3 (Embedding theorem). The canonical homomorphism
SBKL+
n → SBn
is injective.
6.2. Word and conjugacy problems in SBn. The word problem in SBn (in classical gen-
erators) was solved by R. Corran [22], see also [85]. Let us fix an arbitrary linear order on the
set of generators of SBKL+
n and extend it to the deg–lex order on words of the generators of
SBKL+
n . With this order, we first order wwords by total degree (the length of the word on
given generators) and we break ties by the lex order. By the base of the positive word W we
mean the least (relative to the deg–lex order on the words on the generators of SBKL+
n ) word
which represents the same element as W in SBKL+
n . Observe that this word is unique. If the
positive word A is not divisible by δ we denote its base by A.
Theorem 6.2. Every word W in SBn has a unique representation of shape δm
A, where m is
an integer and A is not divisible by δ .
23. ABOUT PRESENTATIONS OF BRAID GROUPS AND THEIR GENERALIZATIONS 23
This gives a normal form for SBn in Birman–Ko–Lee generators. The process of computation
of this normal form is the same as given by Garside [37]. First, suppose that P is any positive
word in the generators SBKL+
n . Among all positive words positively equivalent to P choose a
word in the form δt
A with t maximal. Then A is prime to δ and we have
P
.
= δt
A.
Now, let W be an arbitrary word in SBn. Then we may put
W ≡ W1(c1)−1
W2(c2)−1
. . . (ck)−1
Wk+1,
where each Wj is a positive word of length ≥ 0, and cl are generators at,s, the only possible
invertible generators. For each cl there exists a positive word Dl such that clDl
.
= δ, so that
(cl)−1
= Dlδ−1
, and hence
W = W1D1δ−1
W2D2δ−1
. . . WkDkδ−1
Wk+1.
Moving the factors δ−1
to the left, we obtain W = δk
P, where P is positive, so we can express
it in the form δt
A and finally we obtain the normal form
W = δm
A.
Let us consider the conjugacy problem. We say that two elements u, v ∈ SBn are conjugated
if there exists g ∈ Bn such that g−1
ug = v. We denote this by u ∼ v.
Let u be a positive word. Define the set of all positive elements conjugated with u as follows
C+
(u) = {v|v ∼ u, v ∈ SBKL+
n }.
The following properties are obvious and very close to the ones proved in [29], [14]:
i) The set of all positive words of limited length is finite.
ii)The set C+
(u) is finite.
iii)The element δn
generates the center of SBn.
Now fix two words u, v ∈ SBn. We can assume that they are positive (otherwise we multiply
them by the element δnk
, where k is big enough to cancel all negative letters).
Theorem 6.3. The elements u, v are conjugated if and only if the sets C+
(u) and C+
(v)
contain the same elements.
There exists the following algorithm for constructing C+
(u). Define C+
0 (u) := {u}. If the set
C+
i (u) is already constructed define
C+
i+1(u) := {vg
| g divides δ; v ∈ C+
i } ∩ SBKL+
n .
The set C+
k (u) stabilizes on the finite step, so we put
C+
(u) :=
k≥0
C+
k (u).
7. Inverse monoids
The notion of inverse semigroup was introduced by V. V. Wagner in 1952 [87]. By definition
it means that for any element a of a semigroup (monoid) M there exists a unique element b
(which is called inverse) with the following two conditions:
(7.1) a = aba
(7.2) b = bab.
24. 24 VERSHININ
Π
Π′
Figure 7.1.
Roots of this notion can be seen in the von Neumann regular rings [61] where only one condition
(7.1) holds for non-necessary unique b, or in the Moore-Penrose pseudoinverse for matrices [60],
[64] where both conditions (7.1) and (7.2) hold (and certain supplementary conditions also).
See the books [65] and [53] as general references for inverse semigroups.
The typical example of an inverse monoid is a monoid of partial (defined on a subset) in-
jections of a set. For a finite set this gives us the notion of a symmetric inverse monoid In
which generalizes and includes the classical symmetric group Σn. A presentation of symmetric
inverse monoid was obtained by L. M. Popova [67], see also formulae (7.3 -7.4) below.
Recently the inverse braid monoid IBn was constructed by D. Easdown and T. G. Lavers
[28]. It arises from a very natural operation on braids: deleting one or several strands. By the
application of this procedure to braids in Brn we get partial braids [28]. The multiplication of
partial braids is shown at Figure 7.1 At the last stage it is necessary to remove any arc that
does not join the upper or lower planes. The set of all partial braids with this operation forms
an inverse braid monoid IBn.
One of the motivations for studying IBn is that it is a natural setting for the Brunnian (or
Makanin) braids, which were also called smooth braids by G. S. Makanin who first mentioned
them in [49], (page 78, question 6.23), and D. L. Johnson [45]. By the usual definition a braid
is Brunnian if it becomes trivial after deleting any strand, see formulae (8.9 - 8.13). According
to the work of Fred Cohen, Jon Berrick, Wu Jie, Yang Loi Wong [10] Brunnian braids are
connected with homotopy groups of spheres.
The following presentation for the inverse braid monoid was obtained in [28]. It has the
generators σi, σ−1
i , i = 1, . . . , n − 1, ǫ, which satisfy the braid relations (1.1 and the following
relations:
(7.3)
σiσ−1
i = σ−1
i σi = 1, for all i,
ǫσi = σiǫ for i ≥ 2,
ǫσ1ǫ = σ1ǫσ1ǫ = ǫσ1ǫσ1,
ǫ = ǫ2
= ǫσ2
1 = σ2
1ǫ.
Geometrically the generator ǫ means that the first strand in the trivial braid is absent.
If we replace the first relation in (7.3) by the following set of relations
(7.4) σ2
i = 1, for all i,
25. ABOUT PRESENTATIONS OF BRAID GROUPS AND THEIR GENERALIZATIONS 25
and delete the superfluous relations
ǫ = ǫσ2
1 = σ2
1ǫ,
we get a presentation of the symmetric inverse monoid In [67]. We also can simply add the
relations (7.4) if we do not worry about redundant relations. We get a canonical map [28]
(7.5) τn : IBn → In
which is a natural extension of the corresponding map for the braid and symmetric groups.
More balanced relations for the inverse braid monoid were obtained in [40]. Let ǫi denote
the braid which is obtained from the trivial by deleting of the ith strand, formally:
ǫ1 = ǫ,
ǫi+1 = σ±1
i ǫiσ±1
i .
So, the generators are: σi, σ−1
i , i = 1, . . . , n − 1, ǫi, i = 1, . . . , n, and relations are the following:
(7.6)
σiσ−1
i = σ−1
i σi = 1, for all i,
ǫjσi = σiǫj for j = i, i + 1,
ǫiσi = σiǫi+1,
ǫi+1σi = σiǫi,
ǫi = ǫ2
i ,
ǫi+1σ2
i = σ2
i ǫi+1 = ǫi+1,
ǫiǫi+1σi = σiǫiǫi+1 = ǫiǫi+1,
plus the braid relations (1.1).
7.1. Inverse reflection monoid of type B. It can be defined in the same way as the corre-
sponding Coxeter group (2.1) as the monoid of partial signed permutations I(Bn):
I(Bn) = {σ is a partial bijection of SN : (−x)σ = −(x)σ for x ∈ SN
and x ∈ dom σ if and only if − x ∈ dom σ},
where dom σ means domain of definition of the monomorphism σ. This monoid was studied in
[31].
8. Properties of inverse braid monoid
In relations (7.3) we have one generator for the idempotent part and n − 1 generators for
the group part. If we minimize the number of generators of the group part and take the
presentation (1.5) for the braid group we get a presentation of the inverse braid monoid with
generators σ1, σ, ǫ, and relations:
σ1σ−1
1 = σ−1
1 σ1 = 1,
σσ−1
= σ−1
σ = 1,
ǫσi
σ1σ−i
= σi
σ1σ−i
ǫ for 1 ≤ i ≤ n − 2,
ǫσ1ǫ = σ1ǫσ1ǫ = ǫσ1ǫσ1,
ǫ = ǫ2
= ǫσ2
1 = σ2
1ǫ,
plus (1.5).
26. 26 VERSHININ
Let Γ be a normal planar graph (see Introduction). Let us add new generators ǫv which
correspond to each vertex of the graph Γ. Geometrically it means the absence in the trivial
braid of one strand corresponding to the vertex v. We orient the graph Γ arbitrarily and so
we get a starting v0 = v0(e) and a terminal v1 = v1(e) vertex for each edge e. Consider the
following relations
(8.1)
σeσ−1
e = σ−1
e σe = 1, for all edges of Γ,
ǫvσe = σeǫv, if the vertex v and the edge e do not intersect,
ǫv0 σe = σeǫv1 , where v0 = v0(e), v1 = v1(e),
ǫv1 σe = σeǫv0 ,
ǫv = ǫ2
ν,
ǫvi
σ2
e = σ2
e ǫvi
= ǫvi
, i = 0, 1,
ǫv0 ǫv1 σe = σeǫv0 ǫv1 = ǫv0 ǫv1 .
Theorem 8.1. We get a Sergiescu graph presentation of the inverse braid monoid IBn if we
add to the graph presentation of the braid group Brn relations (8.1).
Let EFn be a monoid of partial isomorphisms of a free group Fn defined as follows. Let a
be an element of the symmetric inverse monoid In, a ∈ In, Jk = {j1, . . . , jk} is the image of a,
and elements i1, . . . , ik belong to domain of the definition of a. The monoid EFn consists of
isomorphisms of free subgroups
< xi1 , . . . , xik
> → < xj1 , . . . , xjk
>
such that
fa : xi → w−1
i xa(i)wi,
if i is among i1, . . . , ik and not defined otherwise and wi is a word on xj1 , . . . , xjk
. The compo-
sition of fa and gb, a, b ∈ In, is defined for xi belonging to the domain of a ◦ b. We put xjm = 1
in a word wi if xjm does not belong to the domain of definition of g. We define a map φn from
IBn to EFn expanding the canonical inclusion
Brn → Aut Fn
by the condition that φn(ǫ) as a partial isomorphism of Fn is given by the formula
(8.2) φn(ǫ)(xi) =
xi if i ≥ 2,
not defined, if i = 1.
Using the presentation (7.3) we see that φn is correctly defined homomorphism of monoids
φn : IBn → EFn.
Theorem 8.2. The homomorphism φn is a monomorphism.
Theorem 8.2 gives also a possibility to interpret the inverse braid monoid as a monoid of
isotopy classes of maps. As usual consider a disc D2
with n fixed points. Denote the set of
these points by Qn. The fundamental group of D2
with these points deleted is isomorphic to
Fn. Consider homeomorphisms of D2
onto a copy of the same disc with the condition that only
k points of Qn, k ≤ n (say i1, . . . , ik) are mapped bijectively onto the k points (say j1, . . . , jk)
of the second copy of D2
. Consider the isotopy classes of such homeomorphisms and denote
such set by IMn(D2
). Evidently it is a monoid.
27. ABOUT PRESENTATIONS OF BRAID GROUPS AND THEIR GENERALIZATIONS 27
Theorem 8.3. The monoids IBn and IMn(D2
) are isomorphic.
These considerations can be generalized to the following definition. Consider a surface Sg,b,n
of the genus g, b boundary components and with a chosen set Qn of n fixed interior points. Let
f be a homeomorphism of Sg,b,n which maps k points, k ≤ n, from Qn: {i1, . . . , ik} to k points
{j1, . . . , jk} also from Qn. In the same way let h be a homeomorphism of Sg,b,n which maps
l points, l ≤ n, from Qn, say {s1, . . . , sl} to l points {t1, . . . , tl} again from Qn. Consider the
intersection of the sets {j1, . . . , jk} and {s1, . . . , sl}, let it be the set of cardinality m, it may be
empty. Then the composition of f and h maps m points of Qn to m points (may be different)
of Qn. If m = 0 then the composition does not take into account the set Qn. Denote the set of
isotopy classes of such maps by IMg,b,n. This standard composition of f and g as maps defines
a structure of monoid on IMg,b,n.
Proposition 8.1. The monoid IMg,b,n is inverse.
We call the monoid IMg,b,n the inverse mapping class monoid. If g = 0 and b = 1 we get
the inverse braid monoid. In the general case IMg,b,n the role of the empty braid plays the
mapping class group Mg,b (without fixed points).
We remind that a monoid M is factorisable if M = EG where E is a set of idempotents of
M and G is a subgroup of M.
Proposition 8.2. The monoid IMg,b,n can be written in the form
IMg,b,n = EMg,b,n,
where E is a set of idempotents of IMg,b,n and Mg,b,n is the corresponding mapping class group.
So this monoid is factorisable.
Let ∆ be the Garside’s fundamental word in the braid group Brn [37]. It can be defined by
the formula:
∆ = σ1 . . . σn−1σ1 . . . σn−2 . . . σ1σ2σ1.
Proposition 8.3. The generators ǫi commute with ∆ in the following way:
ǫi∆ = ∆ǫn+1−i.
Proposition 8.4. The center of IBn consists of the union of the center of the braid group Brn
(generated by ∆2
) and the empty braid ∅ = ǫ1 . . . ǫn.
Let E be the monoid generated by one idempotent generator ǫ .
Proposition 8.5. The abelianization of IBn is isomorphic to an abelian monoid AB generated
(as an abelian monoid) by elements ǫ, α and −α, subject to the following relations
α + (−α) = 0,
2ǫ = ǫ,
ǫ + α = ǫ.
So, it is isomorphic to the quotient-monoid of E ⊕ Z by the relation ǫ + 1 = ǫ. The canonical
map of abelianization
a : IBn → AB
is given by the formula:
a(ǫi) = ǫ,
a(σi) = α.
28. 28 VERSHININ
Let ǫk+1,n denote the partial braid with the trivial first k strands and the absent rest n − k
strands. It can be expressed using the generator ǫ or the generators ǫi as follows
(8.3) ǫk+1,n = ǫσn−1 . . . σk+1ǫσn−1 . . . σk+2ǫ . . . ǫσn−1σn−2ǫσn−1ǫ,
(8.4) ǫk+1,n = ǫk+1ǫk+2 . . . ǫn,
It was proved in [28] the every partial braid has a representative of the form
(8.5) σi1 . . . σ1 . . . σik
. . . σkǫk+1,nxǫk+1,nσk . . . σjk
. . . σ1 . . . σj1 ,
(8.6) k ∈ {0, . . . , n}, x ∈ Brk, 0 ≤ i1 < · · · < ik ≤ n − 1 and 0 ≤ j1 < · · · < jk ≤ n − 1.
Note that in the formula (8.5) we can delete one of the ǫk+1,n, but we shall use the form (8.5)
because of convenience: two symbols ǫk+1,n serve as markers to distinguish the elements of Brk.
We can put the element x ∈ Brk in the Markov normal form [58] and get the corresponding
Markov normal form for the inverse braid monoid IBn.
Among positive words on the alphabet {σ1 . . . σn} let us introduce a lexicographical ordering
with the condition that σ1 < σ2 < · · · < σn. For a positive word V the base of V is the
smallest positive word which is positively equal to V . The base is uniquely determined. If a
positive word V is prime to ∆, then for the base of V the notation V will be used (compare
with subsection 6.2).
Theorem 8.4. Every word W in IBrn can be uniquely written in the form
(8.7) σi1 . . . σ1 . . . σik
. . . σkǫk+1,nxǫk+1,nσk . . . σjk
. . . σ1 . . . σj1 ,
(8.8) k ∈ {0, . . . , n}, x ∈ Brk, 0 ≤ i1 < · · · < ik ≤ n − 1 and 0 ≤ j1 < · · · < jk ≤ n − 1.
where x is written in the Garside normal form for Brk
∆m
V ,
where m is an integer.
Theorem 8.4 is evidently true also for the presentation with ǫi, i = 1, . . . n. In this case the
elements ǫk+1,n are expressed by (8.4).
We call the form of a word W established in Theorem 8.4 the Garside left normal form for
the inverse braid monoid IBn and the index m we call the power of W. In the same way we
can define the Garside right normal form for the inverse braid monoid and the corresponding
variant of Theorem 8.4 is true.
Theorem 8.5. The necessary and sufficient condition for two words in IBn to be equal is that
their Garside normal forms are identical. The Garside normal form gives a solution to the
word problem in the braid group.
Garside normal form for the braid groups was detailed in the subsequent works of S. I. Adyan
[1], W. Thurston [30], E. El-Rifai and H. R. Morton [29]. Namely, there was introduced the
left-greedy form (in the terminology of W. Thurston [30])
∆t
A1 . . . Ak,
where Ai are the successive possible longest fragments of the word ∆ (in the terminology of
S. I. Adyan [1]) or positive permutation braids (in the terminology of E. El-Rifai and H. R. Mor-
ton [29]). In the same way one defines the right-greedy form is defined. These greedy forms are
defined for the inverse braid monoid in the same way.
29. ABOUT PRESENTATIONS OF BRAID GROUPS AND THEIR GENERALIZATIONS 29
Let us consider the elements m ∈ IBn satisfying the equation:
(8.9) ǫim = ǫi.
Geometrically this means that removing the strand (if it exists) that starts at the point with
the number i we get a trivial braid on the remaining n − 1 strands. It is equivalent to the
condition
(8.10) mǫτ(m)(i) = ǫτ(m)(i),
where τ is the canonical map to the symmetric monoid (7.5). With the exception of ǫi itself all
such elements belong to Brn. We call such braids as i -Brunnian and denote the subgroup of
i -Brunnian braids by Ai. The subgroups Ai, i = 1, . . . , n, are conjugate
(8.11) Ai = σ−1
i−1 . . . σ−1
1 A1σ1 . . . σi−1
free subgroups. The group A1 is freely generated by the set {x1, . . . , xn−1} [45], where
(8.12) xi = σ−1
i−1 . . . σ−1
1 σ2
1σ1 . . . σi−1.
The intersection of all subgroups of i -Brunnian braids is the group of Brunnian braids
(8.13) Brunnn = ∩n
i=1Ai.
That is the same as m ∈ Brunnn if and only if the equation (8.9) holds for all i.
9. Monoids of partial generalized braids
Construction of partial braids can be applied to various generalizations of braids, namely to
those where geometric or diagrammatic construction of braids takes place. Let Σg be a surface
of genus g possibly with boundary components and punctures. We consider partial braids lying
in a layer between two such surfaces: Σg ×I and take a set of isotopy classes of such braids. We
get a monoid of partial braid on a surface Σg, denote it by IBn(Σg). An interesting case is when
the surface is a sphere S2
. So our partial braids are lying in a layer between two concentric
spheres.
Theorem 9.1. We get a presentation of the monoid IBn(S2
) if we add to the presentation
(7.3) or to the presentation (7.6) of IBn the sphere relation (2.4). It is a factorisable inverse
monoid.
The monoid IB(Bn) of partial braids of the type B can be considered also as a submonoid
of IBn+1 consisting of partial braids with the first strand fixed. An interpretation as a monoid
of isotopy classes of homeomorphisms is possible as well. Consider a disc D2
with given n + 1
points. Denote the set of these points by Qn+1. Consider homeomorphisms of the disc D2
onto
a copy of the same disc with the condition that the first point is always mapped into itself and
among the other n points only k points, k ≤ n (say i1, . . . , ik) are mapped bijectively onto the
k points (say j1, . . . , jk) of the set Qn+1 (without the first point) of second copy of the disc D2
.
The isotopy classes of such homeomorphisms form the monoid IB(Bn).
Theorem 9.2. We get a presentation of the monoid IB(Bn) if we add to the presentation (7.3)
or the presentation (7.6) of IBn one generator τ, the type B relation (2.2) and the following
relations
(9.1)
ττ−1
= τ−1
τ = 1,
ǫ1τ = τǫ1 = ǫ1.
It is a factorisable inverse monoid.
30. 30 VERSHININ
Remark 9.1. Theorem 9.2 can be naturally generalized for partial braids in handlebodies [77].
We define an action of the monoid IB(Bn) on the set SN (see subsection 2.1) by partial
isomorphisms as follows
(9.2) σi(δjvj) =
δivi+1, if j = i,
δi+1vi, if j = i + 1,
δjvj, if j = i, i + 1,
(9.3) τ(δjvj) =
−δ1v1, if j = 1,
δjvj, if j = 1,
(9.4) dom ǫ = {δ2v2, . . . , δnvn},
(9.5) ǫ(δjvj) = δjvj, if j = 2, . . . , n,
(9.6) dom ǫi = {δ1v1, . . . , δivi, . . . , δnvn},
(9.7) ǫi(δjvj) = δjvj, if j = 1, . . . , i, . . . , n.
Direct checking shows that the relations of the inverse braid monoid of type B are satisfied by
the corresponding compositions of partial isomorphisms defined by σi, τ and ǫi.
Theorem 9.3. The action given by the formulae (9.2 - 9.7) defines a homomorphism of inverse
monoids ρB : IB(Bn) → I(Bn) such that the following diagram commutes
(9.8)
Br(Bn) −−−→ W(Bn)
↓ ↓
IB(Bn)
ρB
−−−→ I(Bn)
(where the vertical arrows mean inclusion of the group of invertible elements into a monoid).
Theorem 9.4. The homomorphism ρB : IB(Bn) → I(Bn) is an epimorphism. We get a
presentation of the monoid I(Bn) if in the presentation of IB(Bn) we replace the first relation
in (7.3) by the following set of relations
σ2
i = 1, for all i,
and delete the superfluous relations
ǫ = ǫσ2
1 = σ2
1ǫ,
and we replace the first relation in (9.1) by the following relation
τ2
= 1.
We remind that E denotes the monoid generated by one idempotent generator ǫ.
Proposition 9.1. The abelianization Ab(IB(Bn)) of the monoid IB(Bn) is isomorphic to the
monoid E ⊕ Z2
, factorized by the relations
ǫ + τ = ǫ,
ǫ + σ = ǫ,
where τ and σ are generators of Z2
. The canonical map of abelianization
a : IB(Bn) → Ab(IB(Bn))
31. ABOUT PRESENTATIONS OF BRAID GROUPS AND THEIR GENERALIZATIONS 31
is given by the formulae:
a(ǫi) = ǫ,
a(τ) = τ,
a(σi) = σ.
The canonical map from Ab(IB(Bn)) to Ab(I(Bn)) consists of factorizing Z2
modulo 2.
Let BPn be the braid-permutation group (see subsection 2.3). Consider the image of monoid
In in EFn by the map defined by the formulae (2.5), (8.2). Take also the monoid IBn lying
in EFn under the map φn of Theorem (8.2). We define the braid-permutation monoid as a
submonoid of EFn generated by both images of IBn and In and denote it by IBPn. It can be
also defined by the diagrams of partial welded braids.
Theorem 9.5. We get a presentation of the monoid IBPn if we add to the presentation of
BPn the generator ǫ, relations (7.3) and the analogous relations between ξi and ǫ, or generators
ǫi, 1 ≤ i ≤ n relations (7.6) and the analogous relations between ξi and ǫi. It is a factorisable
inverse monoid. Monoid IBPn is isomorphic to the monoid EFn of partial isomorphisms of
braid-conjugation type.
The virtual braids [82] can be defined by the plane diagrams with real and virtual crossings.
The corresponding Reidemeister moves are the same as for the welded braids of the braid-
permutation group with one exception. The forbidden move corresponds to the last mixed
relation for the braid-permutation group (2.6). This allows to define the partial virtual braids
and the corresponding monoid IV Bn. So the mixed relation for IV Bn have the form:
(9.9)
σiξj = ξjσi, if |i − j| > 1,
ξiξi+1σi = σi+1ξiξi+1.
The mixed relations for virtual braids
Theorem 9.6. We get a presentation of the monoid IV Bn if we delete the last mixed relation
in the presentation of IBPn, that is replace the relations (2.6) by (9.9) It is a factorisable
inverse monoid. The canonical epimorphism
IV Bn → IBPn
is evidently defined.
The constructions of singular braid monoid SBn (see subsection 2.4) are geometric, so we
can easily get the analogous monoid of partial singular braids PSBn.
Theorem 9.7. We get a presentation of the monoid PSBn if we add to the presentation of
SBn the generators ǫi, 1 ≤ i ≤ n, relations (7.6) and the analogous relations between xi and ǫi.
Remark 9.2. The monoid PSBn is not neither factorisable nor inverse.
The construction of braid groups on graphs [39], [33] is geometrical so, in the same way as for
the classical braid groups we can define partial braids on a graph Γ and the monoid of partial
braids on a graph Γ which will be evidently inverse, so we call it as inverse braid monoid on
the graph Γ and we denote it as IBnΓ.
32. 32 VERSHININ
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D´epartement des Sciences Math´ematiques, Universit´e Montpellier II, Place Eug´ene Batail-
lon, 34095 Montpellier cedex 5, France
E-mail address: vershini@math.univ-montp2.fr
Sobolev Institute of Mathematics, Novosibirsk, 630090, Russia
E-mail address: versh@math.nsc.ru