This document discusses using group theory and Lie algebras to formulate quantum mechanics from classical mechanics. It begins by reviewing classical phase space methods and their relation to Lie groups. It then develops an analogous formalism for quantum mechanics by replacing classical observables with operators satisfying the same Lie algebra. Unitary representations of this algebra define quantum states. The Heisenberg algebra is introduced for a particle, and its representation leads to a probabilistic interpretation. Dynamics are discussed using Hamiltonians of Newtonian form. As an example, the position-momentum uncertainty principle is derived from the Heisenberg commutation relation.
This lecture discusses operator methods in quantum mechanics. Some key points:
1. Operators allow quantum mechanics to be formulated without relying on a particular basis. The Hamiltonian operator H acts on state vectors.
2. Dirac notation represents state vectors as "kets" and defines inner products between states. A resolution of identity allows expanding states in a basis.
3. Hermitian operators correspond to physical observables. Their eigenfunctions form a complete basis. The time-evolution operator evolves states forward in time.
4. The uncertainty principle relates the uncertainties of non-commuting operators like position and momentum. Symmetries of the Hamiltonian are represented by unitary operators that commute with it.
On the k-Riemann-Liouville fractional integral and applications Premier Publishers
Fractional calculus is a generalization of ordinary differentiation and integration to arbitrary non-integer order. The subject is as old as differential calculus and goes back to times when G.W. Leibniz and I. Newton invented differential calculus. Fractional integrals and derivatives arise in many engineering and scientific disciplines as the mathematical modeling of systems and processes in the fields of physics, chemistry, aerodynamics, electrodynamics of a complex medium. Very recently, Mubeen and Habibullah have introduced the k-Riemann-Liouville fractional integral defined by using the -Gamma function, which is a generalization of the classical Gamma function. In this paper, we presents a new fractional integration is called k-Riemann-Liouville fractional integral, which generalizes the k-Riemann-Liouville fractional integral. Then, we prove the commutativity and the semi-group properties of the -Riemann-Liouville fractional integral and we give Chebyshev inequalities for k-Riemann-Liouville fractional integral. Later, using k-Riemann-Liouville fractional integral, we establish some new integral inequalities.
This document discusses the emergence of chimera states, a unique collective state where coherent and incoherent dynamics coexist, in a system of non-locally coupled phase oscillators with propagation delays. It presents the complex Ginzburg-Landau equation (CGLE) model of reaction-diffusion systems and derives a phase reduction with propagation time delays. Numerical simulations and solutions to the self-consistency equation validate the existence of chimera clusters induced by time delays.
This document discusses the emergence of chimera states, a unique collective state where coherent and incoherent dynamics coexist, in a system of non-locally coupled phase oscillators with propagation delays. It presents the complex Ginzburg-Landau equation (CGLE) model of reaction-diffusion systems and derives a phase reduction with propagation time delays. Numerical simulations and solutions to the self-consistency equation reveal chimera cluster states induced by the time delays.
The document discusses using k-nearest neighbors and KD-trees to create a computationally cheap approximation (πa) of an expensive-to-evaluate target distribution π. This approximation allows the use of delayed acceptance in a Metropolis-Hastings or pseudo-marginal Metropolis-Hastings algorithm to potentially reduce computation cost per iteration. Specifically, it describes:
1) Using a weighted average of the k nearest neighbor π values to define the approximation πa.
2) How delayed acceptance preserves the stationary distribution while mixing more slowly than standard MH.
3) Storing the evaluated π values in a KD-tree to enable fast lookup of the k nearest neighbors.
This document discusses linear response theory and how to calculate the dielectric constant from first principles. It introduces Maxwell's equations and the relationship between polarization, electric field, and dielectric constant. The key steps are: 1) Expressing response functions in a single-particle basis set; 2) Setting up the time-dependent Hamiltonian and density matrix equation of motion; 3) Solving the equation of motion to obtain the linear response function χ0 in terms of single-particle energies and occupations. Local field effects beyond the independent particle approximation are included within the random phase approximation. The dielectric function ε is then constructed from the linear response function χ0.
International Conference on Monte Carlo techniques
Closing conference of thematic cycle
Paris July 5-8th 2016
Campus les cordeliers
Jere Koskela's slides
This lecture discusses operator methods in quantum mechanics. Some key points:
1. Operators allow quantum mechanics to be formulated without relying on a particular basis. The Hamiltonian operator H acts on state vectors.
2. Dirac notation represents state vectors as "kets" and defines inner products between states. A resolution of identity allows expanding states in a basis.
3. Hermitian operators correspond to physical observables. Their eigenfunctions form a complete basis. The time-evolution operator evolves states forward in time.
4. The uncertainty principle relates the uncertainties of non-commuting operators like position and momentum. Symmetries of the Hamiltonian are represented by unitary operators that commute with it.
On the k-Riemann-Liouville fractional integral and applications Premier Publishers
Fractional calculus is a generalization of ordinary differentiation and integration to arbitrary non-integer order. The subject is as old as differential calculus and goes back to times when G.W. Leibniz and I. Newton invented differential calculus. Fractional integrals and derivatives arise in many engineering and scientific disciplines as the mathematical modeling of systems and processes in the fields of physics, chemistry, aerodynamics, electrodynamics of a complex medium. Very recently, Mubeen and Habibullah have introduced the k-Riemann-Liouville fractional integral defined by using the -Gamma function, which is a generalization of the classical Gamma function. In this paper, we presents a new fractional integration is called k-Riemann-Liouville fractional integral, which generalizes the k-Riemann-Liouville fractional integral. Then, we prove the commutativity and the semi-group properties of the -Riemann-Liouville fractional integral and we give Chebyshev inequalities for k-Riemann-Liouville fractional integral. Later, using k-Riemann-Liouville fractional integral, we establish some new integral inequalities.
This document discusses the emergence of chimera states, a unique collective state where coherent and incoherent dynamics coexist, in a system of non-locally coupled phase oscillators with propagation delays. It presents the complex Ginzburg-Landau equation (CGLE) model of reaction-diffusion systems and derives a phase reduction with propagation time delays. Numerical simulations and solutions to the self-consistency equation validate the existence of chimera clusters induced by time delays.
This document discusses the emergence of chimera states, a unique collective state where coherent and incoherent dynamics coexist, in a system of non-locally coupled phase oscillators with propagation delays. It presents the complex Ginzburg-Landau equation (CGLE) model of reaction-diffusion systems and derives a phase reduction with propagation time delays. Numerical simulations and solutions to the self-consistency equation reveal chimera cluster states induced by the time delays.
The document discusses using k-nearest neighbors and KD-trees to create a computationally cheap approximation (πa) of an expensive-to-evaluate target distribution π. This approximation allows the use of delayed acceptance in a Metropolis-Hastings or pseudo-marginal Metropolis-Hastings algorithm to potentially reduce computation cost per iteration. Specifically, it describes:
1) Using a weighted average of the k nearest neighbor π values to define the approximation πa.
2) How delayed acceptance preserves the stationary distribution while mixing more slowly than standard MH.
3) Storing the evaluated π values in a KD-tree to enable fast lookup of the k nearest neighbors.
This document discusses linear response theory and how to calculate the dielectric constant from first principles. It introduces Maxwell's equations and the relationship between polarization, electric field, and dielectric constant. The key steps are: 1) Expressing response functions in a single-particle basis set; 2) Setting up the time-dependent Hamiltonian and density matrix equation of motion; 3) Solving the equation of motion to obtain the linear response function χ0 in terms of single-particle energies and occupations. Local field effects beyond the independent particle approximation are included within the random phase approximation. The dielectric function ε is then constructed from the linear response function χ0.
International Conference on Monte Carlo techniques
Closing conference of thematic cycle
Paris July 5-8th 2016
Campus les cordeliers
Jere Koskela's slides
This document provides an introduction and overview of quantum Monte Carlo methods. It begins by reviewing the Metropolis algorithm and how it can be used to evaluate integrals and quantum mechanical operators. It then outlines the key topics which will be covered, including the path integral formulation of quantum mechanics, diffusion Monte Carlo, and calculating the one-body density matrix and excitation energies. The document proceeds to explain how the path integral formulation leads to the Schrodinger equation in the limit of small time steps, and how imaginary time evolution can be used to project out the ground state wavefunction. It concludes by providing examples of applying these methods to calculate properties of hydrogen, molecular hydrogen, and the one-body density matrix of silicon.
EXACT SOLUTIONS OF SCHRÖDINGER EQUATION WITH SOLVABLE POTENTIALS FOR NON PT/P...ijrap
We have obtained explicitly the exact solutions of the Schrodinger equation with Non PT/PT symmetric
Rosen Morse II, Scarf II and Coulomb potentials. Energy eigenvalues and the corresponding
unnormalized wave functions for these systems for both Non PT and PT symmetric are also obtained using
the Nikiforov-Uvarov (NU) method.
This document discusses developing near-optimal state feedback controllers for nonlinear discrete-time systems using iterative approximate dynamic programming (ADP) algorithms. Specifically:
1) An infinite-horizon optimal state feedback controller is developed for discrete-time systems based on the dual heuristic programming (DHP) algorithm.
2) A new optimal control scheme is developed using the generalized DHP (GDHP) algorithm and a discounted cost functional.
3) An infinite-horizon optimal stabilizing state feedback controller is designed based on the globalized dual heuristic programming (GHJB) algorithm.
4) Finite-horizon optimal controllers with an ε-error bound are proposed, where the number of optimal control steps can be determined
This document provides an overview of algebraic aspects of quantum Lévy processes. It begins with background on algebraic terminology and stochastic processes like Lévy processes. It then defines quantum Lévy processes and describes some of their basic properties, including the correspondence between quantum Lévy processes and Schürmann triples. The document also discusses the Lévy-Khinchin decomposition property for quantum Lévy processes and provides examples and counterexamples. It concludes by mentioning some open questions and known results regarding classification of quantum Lévy processes over different algebraic structures.
Statistical approach to quantum field theorySpringer
- The document discusses path integral formulations in quantum and statistical mechanics. It introduces Feynman's path integral approach, which sums over all possible quantum mechanical paths between two points, in contrast to matrix and wave mechanics formulations.
- It derives the Feynman-Kac formula, which provides a path integral representation for the quantum mechanical propagator through an application of Trotter's theorem. This sums over all broken-line paths between the initial and final points.
- It also discusses Kac's formula, which applies to positive operators and is used in the Euclidean formulation of quantum mechanics and statistical physics.
NITheP WITS node Seminar by Dr Dr. Roland Cristopher F. Caballar (NITheP/UKZN)
TITLE: "One-Dimensional Homogeneous Open Quantum Walks"
ABSTRACT: In this talk, we consider a system undergoing an open quantum walk on a one-dimensional lattice. Each jump of the system between adjacent lattice points in a given direction corresponds to a jump operator, with these jump operators either commuting or not commuting. We examine the dynamics of the system undergoing this open quantum walk, in particular deriving analytically the probability distribution of the system, as well as examining numerically the behavior of the probability distribution over long time steps. The resulting distribution is shown to have multiple components, which fall under two general categories, namely normal and solitonic components. The analytic computation of the probability distribution for the system undergoing this open quantum walk allows us to determine at any instant of time the dynamical properties of the system.
1) The document discusses exact solutions of nonequilibrium steady states in many-body quantum systems using the matrix product ansatz.
2) It presents an exactly solvable model of a boundary driven XXZ spin chain, where the nonequilibrium steady state can be represented as a matrix product operator with a quadratic algebra.
3) Transport properties like the spin conductivity can be computed exactly using conservation laws that emerge from the integrability of the model.
- Optical spectra can be efficiently calculated using Green's function theory and the Bethe-Salpeter equation (BSE) or time-dependent density functional theory (TDDFT) formulated in the electron-hole space.
- The Lanczos-Haydock approach can be used to solve the BSE and TDDFT equations without fully diagonalizing the large matrices, greatly improving computational efficiency.
- While TDDFT provides a lower-cost approximation, the BSE more fully accounts for electron-hole interactions and is less prone to breakdowns like those from the Tamm-Dancoff approximation.
This Presentation describes, in short, Introduction to Time Series and the overall procedure required for Time Series Modelling including general terminologies and algorithms. However the detailed Mathematics is excluded in the slides, this ppt means to give a start to understanding the Time Series Modelling before going into detailed Statistics.
Neutral Electronic Excitations: a Many-body approach to the optical absorptio...Claudio Attaccalite
Neutral Electronic Excitations: a Many-body approach to the optical absorption spectra.
Introduction to Bethe-Salpeter equation and linear response theory.
Computer Controlled Systems (solutions manual). Astrom. 3rd edition 1997JOAQUIN REA
This document contains solutions to problems in a textbook on computer-controlled systems. It provides solutions to problems from Chapter 2, which deals with modeling continuous systems as discrete-time systems using sampling. The document includes analytical solutions to several problems involving sampling continuous systems and determining the corresponding discrete-time models. It also contains the solutions presented in matrix form.
This document discusses linear response theory and time-dependent density functional theory (TDDFT) for calculating absorption spectroscopy. It begins by motivating the use of absorption spectroscopy to study many-body effects. It then outlines how to calculate the response of a system to a perturbation within linear response theory and the Kubo formula. The document discusses using TDDFT to include electron correlation effects beyond the independent particle and time-dependent Hartree approximations. It emphasizes that TDDFT provides an exact framework for calculating neutral excitations if the correct exchange-correlation functional is used.
Very brief highlights on some key details 2foxtrot jp R
This document provides a summary of key details regarding vacuum-to-vacuum matrix calculations in the presence of cubic self-interaction terms. It begins by defining the initial and evolved vacuum states, and the vacuum-to-vacuum matrix for the probability amplitude of remaining in the vacuum state. It then introduces the time evolution operator and scalar field Hamiltonian. The document derives expressions for the vacuum-to-vacuum matrix including cubic self-interactions, translating the expressions into momentum space. It provides Feynman diagrams corresponding to the momentum space expressions.
Exact Quasi-Classical Asymptoticbeyond Maslov Canonical Operator and Quantum ...ijrap
This document discusses exact quasi-classical asymptotic solutions to the Schrodinger equation beyond the WKB and Maslov canonical operator approximations. It presents Colombeau solutions to the Schrodinger equation that can explain the nature of quantum jumps without additional postulates. The solutions are represented using path integral formulations involving Feynman propagators and Maslov canonical operators. Limiting quantum trajectories and averages are defined from the Colombeau solutions that correspond to measurement outcomes, providing an explanation for quantum jumps from the Schrodinger equation alone.
Aurelian Isar - Decoherence And Transition From Quantum To Classical In Open ...SEENET-MTP
Lecture by Prof. Dr. Aurelian Isar (Department of Theoretical Physics, National Institute of Physics and Nuclear Engineering, Bucharest-Magurele, Romania) on October 20, 2011 at the Faculty of Science and Mathematics, Nis, Serbia.
The document discusses recursive algorithms and recurrence relations. It provides examples of solving recurrence relations for different algorithms like Towers of Hanoi, selection sort, and merge sort. Recurrence relations define algorithms recursively in terms of smaller inputs. They are solved to find closed-form formulas for the running time of algorithms.
The document discusses different sorting algorithms including merge sort and quicksort. Merge sort has a divide and conquer approach where an array is divided into halves and the halves are merged back together in sorted order. This results in a runtime of O(n log n). Quicksort uses a partitioning approach, choosing a pivot element and partitioning the array into subarrays of elements less than or greater than the pivot. In the best case, this partitions the array in half at each step, resulting in a runtime of O(n log n). In the average case, the runtime is also O(n log n). In the worst case, the array is already sorted, resulting in unbalanced partitions and a quadratic runtime of O(n^2
The document discusses quasi-Newton methods for solving nonlinear systems of equations and for unconstrained optimization problems. Quasi-Newton methods approximate Newton's method by iteratively updating an estimate of the inverse Hessian matrix without having to explicitly compute second derivatives. This avoids expensive evaluations of the Hessian and allows the methods to converge superlinearly. Examples of quasi-Newton methods discussed include Broyden's method and the BFGS method.
SlideShare es un sitio web lanzado en 2006 que permite compartir presentaciones de diapositivas de forma fácil. Actualmente recibe 12 millones de visitas al mes. Ofrece ventajas como admitir archivos de hasta 20MB, aceptar diferentes formatos de presentaciones y permitir comentarios, pero también tiene desventajas como no permitir ediciones directas ni ver videos insertados. SlideShare facilita la colaboración entre personas de diferentes regiones geográficas.
La Unión Europea ha acordado un embargo petrolero contra Rusia en respuesta a la invasión de Ucrania. El embargo prohibirá las importaciones marítimas de petróleo ruso a la UE y pondrá fin a las entregas a través de oleoductos dentro de seis meses. Esta medida forma parte de un sexto paquete de sanciones de la UE destinadas a aumentar la presión económica sobre Moscú y privar al Kremlin de fondos para financiar su guerra.
This document provides an introduction and overview of quantum Monte Carlo methods. It begins by reviewing the Metropolis algorithm and how it can be used to evaluate integrals and quantum mechanical operators. It then outlines the key topics which will be covered, including the path integral formulation of quantum mechanics, diffusion Monte Carlo, and calculating the one-body density matrix and excitation energies. The document proceeds to explain how the path integral formulation leads to the Schrodinger equation in the limit of small time steps, and how imaginary time evolution can be used to project out the ground state wavefunction. It concludes by providing examples of applying these methods to calculate properties of hydrogen, molecular hydrogen, and the one-body density matrix of silicon.
EXACT SOLUTIONS OF SCHRÖDINGER EQUATION WITH SOLVABLE POTENTIALS FOR NON PT/P...ijrap
We have obtained explicitly the exact solutions of the Schrodinger equation with Non PT/PT symmetric
Rosen Morse II, Scarf II and Coulomb potentials. Energy eigenvalues and the corresponding
unnormalized wave functions for these systems for both Non PT and PT symmetric are also obtained using
the Nikiforov-Uvarov (NU) method.
This document discusses developing near-optimal state feedback controllers for nonlinear discrete-time systems using iterative approximate dynamic programming (ADP) algorithms. Specifically:
1) An infinite-horizon optimal state feedback controller is developed for discrete-time systems based on the dual heuristic programming (DHP) algorithm.
2) A new optimal control scheme is developed using the generalized DHP (GDHP) algorithm and a discounted cost functional.
3) An infinite-horizon optimal stabilizing state feedback controller is designed based on the globalized dual heuristic programming (GHJB) algorithm.
4) Finite-horizon optimal controllers with an ε-error bound are proposed, where the number of optimal control steps can be determined
This document provides an overview of algebraic aspects of quantum Lévy processes. It begins with background on algebraic terminology and stochastic processes like Lévy processes. It then defines quantum Lévy processes and describes some of their basic properties, including the correspondence between quantum Lévy processes and Schürmann triples. The document also discusses the Lévy-Khinchin decomposition property for quantum Lévy processes and provides examples and counterexamples. It concludes by mentioning some open questions and known results regarding classification of quantum Lévy processes over different algebraic structures.
Statistical approach to quantum field theorySpringer
- The document discusses path integral formulations in quantum and statistical mechanics. It introduces Feynman's path integral approach, which sums over all possible quantum mechanical paths between two points, in contrast to matrix and wave mechanics formulations.
- It derives the Feynman-Kac formula, which provides a path integral representation for the quantum mechanical propagator through an application of Trotter's theorem. This sums over all broken-line paths between the initial and final points.
- It also discusses Kac's formula, which applies to positive operators and is used in the Euclidean formulation of quantum mechanics and statistical physics.
NITheP WITS node Seminar by Dr Dr. Roland Cristopher F. Caballar (NITheP/UKZN)
TITLE: "One-Dimensional Homogeneous Open Quantum Walks"
ABSTRACT: In this talk, we consider a system undergoing an open quantum walk on a one-dimensional lattice. Each jump of the system between adjacent lattice points in a given direction corresponds to a jump operator, with these jump operators either commuting or not commuting. We examine the dynamics of the system undergoing this open quantum walk, in particular deriving analytically the probability distribution of the system, as well as examining numerically the behavior of the probability distribution over long time steps. The resulting distribution is shown to have multiple components, which fall under two general categories, namely normal and solitonic components. The analytic computation of the probability distribution for the system undergoing this open quantum walk allows us to determine at any instant of time the dynamical properties of the system.
1) The document discusses exact solutions of nonequilibrium steady states in many-body quantum systems using the matrix product ansatz.
2) It presents an exactly solvable model of a boundary driven XXZ spin chain, where the nonequilibrium steady state can be represented as a matrix product operator with a quadratic algebra.
3) Transport properties like the spin conductivity can be computed exactly using conservation laws that emerge from the integrability of the model.
- Optical spectra can be efficiently calculated using Green's function theory and the Bethe-Salpeter equation (BSE) or time-dependent density functional theory (TDDFT) formulated in the electron-hole space.
- The Lanczos-Haydock approach can be used to solve the BSE and TDDFT equations without fully diagonalizing the large matrices, greatly improving computational efficiency.
- While TDDFT provides a lower-cost approximation, the BSE more fully accounts for electron-hole interactions and is less prone to breakdowns like those from the Tamm-Dancoff approximation.
This Presentation describes, in short, Introduction to Time Series and the overall procedure required for Time Series Modelling including general terminologies and algorithms. However the detailed Mathematics is excluded in the slides, this ppt means to give a start to understanding the Time Series Modelling before going into detailed Statistics.
Neutral Electronic Excitations: a Many-body approach to the optical absorptio...Claudio Attaccalite
Neutral Electronic Excitations: a Many-body approach to the optical absorption spectra.
Introduction to Bethe-Salpeter equation and linear response theory.
Computer Controlled Systems (solutions manual). Astrom. 3rd edition 1997JOAQUIN REA
This document contains solutions to problems in a textbook on computer-controlled systems. It provides solutions to problems from Chapter 2, which deals with modeling continuous systems as discrete-time systems using sampling. The document includes analytical solutions to several problems involving sampling continuous systems and determining the corresponding discrete-time models. It also contains the solutions presented in matrix form.
This document discusses linear response theory and time-dependent density functional theory (TDDFT) for calculating absorption spectroscopy. It begins by motivating the use of absorption spectroscopy to study many-body effects. It then outlines how to calculate the response of a system to a perturbation within linear response theory and the Kubo formula. The document discusses using TDDFT to include electron correlation effects beyond the independent particle and time-dependent Hartree approximations. It emphasizes that TDDFT provides an exact framework for calculating neutral excitations if the correct exchange-correlation functional is used.
Very brief highlights on some key details 2foxtrot jp R
This document provides a summary of key details regarding vacuum-to-vacuum matrix calculations in the presence of cubic self-interaction terms. It begins by defining the initial and evolved vacuum states, and the vacuum-to-vacuum matrix for the probability amplitude of remaining in the vacuum state. It then introduces the time evolution operator and scalar field Hamiltonian. The document derives expressions for the vacuum-to-vacuum matrix including cubic self-interactions, translating the expressions into momentum space. It provides Feynman diagrams corresponding to the momentum space expressions.
Exact Quasi-Classical Asymptoticbeyond Maslov Canonical Operator and Quantum ...ijrap
This document discusses exact quasi-classical asymptotic solutions to the Schrodinger equation beyond the WKB and Maslov canonical operator approximations. It presents Colombeau solutions to the Schrodinger equation that can explain the nature of quantum jumps without additional postulates. The solutions are represented using path integral formulations involving Feynman propagators and Maslov canonical operators. Limiting quantum trajectories and averages are defined from the Colombeau solutions that correspond to measurement outcomes, providing an explanation for quantum jumps from the Schrodinger equation alone.
Aurelian Isar - Decoherence And Transition From Quantum To Classical In Open ...SEENET-MTP
Lecture by Prof. Dr. Aurelian Isar (Department of Theoretical Physics, National Institute of Physics and Nuclear Engineering, Bucharest-Magurele, Romania) on October 20, 2011 at the Faculty of Science and Mathematics, Nis, Serbia.
The document discusses recursive algorithms and recurrence relations. It provides examples of solving recurrence relations for different algorithms like Towers of Hanoi, selection sort, and merge sort. Recurrence relations define algorithms recursively in terms of smaller inputs. They are solved to find closed-form formulas for the running time of algorithms.
The document discusses different sorting algorithms including merge sort and quicksort. Merge sort has a divide and conquer approach where an array is divided into halves and the halves are merged back together in sorted order. This results in a runtime of O(n log n). Quicksort uses a partitioning approach, choosing a pivot element and partitioning the array into subarrays of elements less than or greater than the pivot. In the best case, this partitions the array in half at each step, resulting in a runtime of O(n log n). In the average case, the runtime is also O(n log n). In the worst case, the array is already sorted, resulting in unbalanced partitions and a quadratic runtime of O(n^2
The document discusses quasi-Newton methods for solving nonlinear systems of equations and for unconstrained optimization problems. Quasi-Newton methods approximate Newton's method by iteratively updating an estimate of the inverse Hessian matrix without having to explicitly compute second derivatives. This avoids expensive evaluations of the Hessian and allows the methods to converge superlinearly. Examples of quasi-Newton methods discussed include Broyden's method and the BFGS method.
SlideShare es un sitio web lanzado en 2006 que permite compartir presentaciones de diapositivas de forma fácil. Actualmente recibe 12 millones de visitas al mes. Ofrece ventajas como admitir archivos de hasta 20MB, aceptar diferentes formatos de presentaciones y permitir comentarios, pero también tiene desventajas como no permitir ediciones directas ni ver videos insertados. SlideShare facilita la colaboración entre personas de diferentes regiones geográficas.
La Unión Europea ha acordado un embargo petrolero contra Rusia en respuesta a la invasión de Ucrania. El embargo prohibirá las importaciones marítimas de petróleo ruso a la UE y pondrá fin a las entregas a través de oleoductos dentro de seis meses. Esta medida forma parte de un sexto paquete de sanciones de la UE destinadas a aumentar la presión económica sobre Moscú y privar al Kremlin de fondos para financiar su guerra.
ANALISE DO GERADOR COMB ÓPTICO PARA TRANSMISSÃO DE ALTAS TAXAS EM REDES ÓPTIC...Heitor Galvão
Este documento descreve uma análise de um gerador óptico de múltiplas portadoras para transmissão de altas taxas em redes ópticas de próxima geração. O gerador comb óptico gera várias subportadoras coerentes usando uma única fonte laser com base na técnica de deslocamento de frequência recirculante. A simulação no software OptiSystem é usada para gerar 25 portadoras espaçadas em 12,5 GHz.
Final idc barómetro 2013-1 h argentina v2013.11.06 - prensaFelipe Lamus
El documento resume los resultados del Barómetro Cisco de Banda Ancha 2.0 de Argentina de junio de 2013. Las conexiones fijas a internet crecieron un 3.3% mientras que las móviles decrecieron un 5.3%. Más de la mitad de las conexiones fijas son de Banda Ancha 2.0 (2 Mbps o más) y se prevé que en 2017 Argentina tendrá casi 9.2 millones de conexiones fijas y móviles, de las cuales el 83.7% serán de Banda Ancha 2.0.
This document appears to be a program from the 2013 Award of Excellence ceremony. It lists various healthcare organizations and agencies that won awards in different advertising, marketing, communications, and public relations categories. The top award, "Best in Show", was given to Foley Outsource Communications and Children's Hospitals & Clinics of MN for their 2011 Annual Report. A variety of Minnesota healthcare providers and agencies received honors and recognition for their work in areas such as advertising campaigns, social media, websites, publications and more.
The band achieved synergy across their main album, music video, and website by adopting a theme of chaos represented through a consistent color scheme, hand-drawn patterns, logos and fonts. This unified the products and strengthened the band's image of being young, energetic and appealing to teenagers and young adults. Marketing focused on promoting the band across different online platforms to engage their target audience.
This document discusses the Legendre transformation, which is used to convert between Lagrangian and Hamiltonian formulations of mechanics and between different thermodynamic potentials. It provides examples of how the Legendre transformation converts between variables in classical mechanics and thermodynamics while preserving physical quantities like energy. The transformation allows describing a physical system using different but related variables that provide an equivalent description of the system's behavior.
The document provides an outline for a course on quantum mechanics. It discusses key topics like the time-dependent Schrodinger equation, eigenvalues and eigenfunctions, boundary conditions for wave functions, and applications like the particle in a box model. Specific solutions to the Schrodinger equation are explored for stationary states with definite energy, including the wave function for a free particle and the quantization of energy for a particle confined to a one-dimensional box.
Solution to schrodinger equation with dirac comb potential slides
This document summarizes solving the Schrödinger equation for a Dirac comb potential. The potential is an infinite series of Dirac delta functions spaced periodically. Floquet theory is used to solve the time-independent Schrödinger equation for this potential. Boundary conditions are applied and the resulting equations are solved graphically. Allowed energy bands are determined and plotted versus wave vector for both attractive and repulsive delta function potentials.
Concepts and Problems in Quantum Mechanics, Lecture-II By Manmohan DashManmohan Dash
9 problems (part-I and II) and in depth the ideas of Quantum; such as Schrodinger Equation, Philosophy of Quantum reality and Statistical interpretation, Probability Distribution, Basic Operators, Uncertainty Principle.
This document is a research essay presented by Canlin Zhang to the University of Waterloo in partial fulfillment of the requirements for a Master's degree in Pure Mathematics. The essay introduces some basic concepts in operator theory and their connections to quantum computation and information. It discusses topics such as quantum algorithms, quantum channels, quantum error correction, and noiseless subsystems. The essay is divided into six sections that cover these topics at a high-level introduction.
This document provides an introduction to elementary quantum mechanics. It begins by defining Hilbert spaces and establishing complex exponentials as an orthonormal basis for L2 spaces. It then discusses Fourier series and using a linear combination of complex exponentials to represent L2 functions. Next, it introduces the Fourier transform and Parseval's identity. It derives the one-dimensional Schrodinger equation and discusses its physical interpretation. Finally, it formally defines quantum mechanics as a Hilbert space with a Hamiltonian and presents the Heisenberg uncertainty principle.
The wave function Ψ provides information about a quantum mechanical system. It is used to calculate the probability of finding a particle in a particular region of space. For example, if a ball is constrained to move in one dimension within a tube of length L, the wave function Ψ would be constant, with a value determined by the normalization condition. Integrating this wave function over the left or right half of the tube then gives the 50% probability of finding the ball in each half. Operators are used in quantum mechanics to extract measurable properties like position, momentum, or energy from the wave function.
Reachability Analysis Control of Non-Linear Dynamical SystemsM Reza Rahmati
The document summarizes an approach for algorithmically synthesizing control strategies for discrete-time nonlinear uncertain systems based on reachable set computations using ellipsoidal calculus. The method uses a first-order Taylor approximation of the nonlinear dynamics combined with a conservative approximation of the Lagrange remainder to transform the system into an affine form. The reachable sets are then over-approximated using ellipsoidal operations, allowing the application of ellipsoidal calculus techniques. An iterative algorithm is proposed to compute stabilizing controllers by solving constrained optimization problems at each step to drive the system to a terminal ellipsoidal set within a finite number of steps while satisfying input constraints.
Reachability Analysis "Control Of Dynamical Non-Linear Systems" M Reza Rahmati
The document summarizes an approach for algorithmically synthesizing control strategies for discrete-time nonlinear uncertain systems based on reachable set computations using ellipsoidal calculus. The method uses a first-order Taylor approximation of the nonlinear dynamics combined with a conservative approximation of the Lagrange remainder to transform the system into an affine form. The reachable sets are then over-approximated using ellipsoidal operations. An iterative algorithm is proposed to compute stabilizing controllers by solving constrained optimization problems to drive the system state into a target ellipsoidal set within a finite number of steps while satisfying input constraints.
Minimum mean square error estimation and approximation of the Bayesian updateAlexander Litvinenko
This document discusses methods for approximating the Bayesian update used in parameter identification problems with partial differential equations containing uncertain coefficients. It presents:
1) Deriving the Bayesian update from conditional expectation and proposing polynomial chaos expansions to approximate the full Bayesian update.
2) Describing minimum mean square error estimation to find estimators that minimize the error between the true parameter and its estimate given measurements.
3) Providing an example of applying these methods to identify an uncertain coefficient in a 1D elliptic PDE using measurements at two points.
A generalized class of normalized distance functions called Q-Metrics is described in this presentation. The Q-Metrics approach relies on a unique functional, using a single bounded parameter (Lambda), which characterizes the conventional distance functions in a normalized per-unit metric space. In addition to this coverage property, a distinguishing and extremely attractive characteristic of the Q-Metric function is its low computational complexity. Q-Metrics satisfy the standard metric axioms. Novel networks for classification and regression tasks are defined and constructed using Q-Metrics. These new networks are shown to outperform conventional feed forward back propagation networks with the same size when tested on real data sets.
A generalized class of normalized distance functions called Q-Metrics is described in this presentation. The Q-Metrics approach relies on a unique functional, using a single bounded parameter Lambda, which characterizes the conventional distance functions in a normalized per-unit metric space. In addition to this coverage property, a distinguishing and extremely attractive characteristic of the Q-Metric function is its low computational complexity. Q-Metrics satisfy the standard metric axioms. Novel networks for classification and regression tasks are defined and constructed using Q-Metrics. These new networks are shown to outperform conventional feed forward back propagation networks with the same size when tested on real data sets.
Presentation of the paper "An output-sensitive algorithm for computing (projections of) resultant polytopes" in the Annual Symposium on Computational Geometry (SoCG 2012)
In this talk, I address two new ideas in sampling geometric objects. The first is a new take on adaptive sampling with respect to the local feature size, i.e., the distance to the medial axis. We recently proved that such samples acn be viewed as uniform samples with respect to an alternative metric on the Euclidean space. The second is a generalization of Voronoi refinement sampling. There, one also achieves an adaptive sample while simultaneously "discovering" the underlying sizing function. We show how to construct such samples that are spaced uniformly with respect to the $k$th nearest neighbor distance function.
Code of the multidimensional fractional pseudo-Newton method using recursive ...mathsjournal
The following paper presents one way to define and classify the fractional pseudo-Newton method through a group of fractional matrix operators, as well as a code written in recursive programming to implement this
method, which through minor modifications, can be implemented in any fractional fixed-point method that allows
solving nonlinear algebraic equation systems.
Code of the multidimensional fractional pseudo-Newton method using recursive ...mathsjournal
The following paper presents one way to define and classify the fractional pseudo-Newton method through a group of fractional matrix operators, as well as a code written in recursive programming to implement this method, which through minor modifications, can be implemented in any fractional fixed-point method that allows solving nonlinear algebraic equation systems.
This document provides a summary of key concepts in nonlinear systems and control theory that are necessary background for subsequent chapters. It introduces notation used throughout the book and defines stability concepts such as Lyapunov stability, asymptotic stability, and exponential stability. It also summarizes Lyapunov's direct method, which allows determining stability properties of an equilibrium point from the properties of the system function f(x) and its relationship to a positive definite function V(x).
Describes the mathematics of the Calculus of Variations.
For comments please contact me at solo.hermelin@gmail.com.
For more presentations on different subjects visit my website on http://www.solohermelin.com
This document provides an overview of key calculus concepts including:
- Functions and function notation which are fundamental to calculus
- Limits which allow defining new points from sequences and are essential to calculus concepts like derivatives and integrals
- Derivatives which measure how one quantity changes in response to changes in another related quantity
- Types of infinity and limits involving infinite quantities or areas
The document defines functions, limits, derivatives, and infinity, and provides examples to illustrate these core calculus topics. It lays the groundwork for further calculus concepts to be covered like integrals, derivatives of more complex functions, and applications of limits, derivatives, and infinity.
1. GROUP THEORY AND PARTICLE QUANTUM MECHANICS
ABSTRACT
We first review phase space methods for classical
mechanics and relate them to Lie group theory. We
proceed to develop an analogous and parallel formalism
for quantum mechanical systems by replacing classical
observables with operator-valued functions defined in a
Hilbert space. This is formally accomplished by defining
quantum observables as satisfying the same Lie algebra
as classical ones. Unitary representations of this
algebra define quantum states. Unitarity then leads the
way to a probabilistic interpretation of quantum
observables as opposed to the well defined classical
ones. We extend the discussion to Hamiltonians of
Newtonian form and single particle quantum dynamics,
providing elementary examples for concreteness.
2. Motivating Paradigm: Classical Mechanics
Classical motion of N particles determined by N 2nd
order differential equations
Trajectories fully determined by specification of
initial conditions for position and velocity
Hamilton’s Equations transform N 2nd
order
differential equations into 2N first order
differential equations in terms of phase space
variables:
( ) ( )( )
( ) ( )( )
1
1
N
N
q t q t q
p t p t p
=
=
K
K
( ),f q pdq
dt p
∂
=
∂
( ),f q pdp
dt q
∂
= −
∂
3. Motivating Paradigm: Classical Mechanics (cont.)
Solutions to Hamilton’s equations specify the orbits
of this group
( ),f q pdq
dt p
∂
=
∂
( ),f q pdp
dt q
∂
= −
∂
Such solutions leave invariant phase space volume
1 1
N
n Ndp dp dq dqω = ∧ ∧ ∧ ∧ ∧L L
under translation in time (Liouville’s theorem SM)
Π
Here is real-valued function that generates a
one-parameter group of transformations of the phase
space, denoted by . is a “classical observable”
( ),f q p
( ),f q p
4. Phase Space: Example
As a quick and simple example of phase space, we
write down the Hamiltonian for the simple harmonic
oscillator:
( )
2
21
,
2 2
p
H q p kq
m
= +
dq H p
q
dt p m
∂
= ⇒ =
∂
&
dp H
p kq
dt q
∂
= − ⇒ = −
∂
&
mq kq⇒ = −&&
5. Dynamics and Lie Algebra Structure
Canonical transformations (those which leave the
phase volume invariant) constitute a “symmetry group”
of classical mechanics
Classical and quantum mechanics can both be formulated
in terms of the process of mapping observables to one-
parameter subgroups
To construct a Lie algebra for such a system, we
first introduce a second observable and
observe its rate of change along the group generated
by
( ),g q p
( ),f q p
( ), i i
i i
i i i i
dp dqd g g
g p q
dt p dt p dt
∂ ∂
= +
∂ ∂
∑ ∑
i i i i i
g f g f
p q p p
∂ ∂ ∂ ∂
= −
∂ ∂ ∂ ∂
∑
(Inserting
Hamilton’s
equations)
6. Dynamics and Lie Algebra Structure (cont.)
We define the
Poisson bracket as:
{ },
i i i i i
g f g f
g f
p q p p
∂ ∂ ∂ ∂
≡ −
∂ ∂ ∂ ∂
∑
It can be verified that the Poisson bracket satisfies
the Jacobi identity. Accordingly, the Poisson
bracket operation converts a given set of
observables, , into a Lie algebraO
In the example above, the Hamiltonian (energy)
constituted one observable. The symmetries of the
Hamiltonian are the set of observables satisfyingf
{ }, 0f H =
Hamiltonians are usually of the form
( ) ( )21
,
2
H p q p V q= +
7. From Classical to Quantum Mechanics
One of the basic approaches to “quantizing” a
classical system is the following procedure:
•Search for unitary representations of this algebra
to define the quantum states
•Introduce quantum observables in the same form as
the classical observables, i.e., adhering to the
same Lie algebras
O
•Take the classical system with phase space
and set of real valued functions
(observables)
Π
Two objects are taken to define a quantum mechanical system:
1. A Lie algebra of observablesQ
2. A linear representation of by operators on a
Hilbert space . Each observable generates a one-
parameter group of unitary transformations on
Q
H
H
8. Definitions
1 2 2 1, ,ψ ψ ψ ψ= 1 2 1 2 1 2, , ,c c cψ ψ ψ ψ ψ ψ= =
0
k
k
ψ
∞
=
< ∞∑
, 0, 0 iff 0ψ ψ ψ≥ =
,ψ ψ ψ≡
( ) ( )1 2 1 2,
M
p p dpψ ψ ψ ψ= ∫
is also complete in the following sense:H
Example:
This sum converges in , i.e. any partial sum
converges to an element of
H
H
is a vector space over complex numbers; the
inner product between any two elements in is
Hermitian and possesses the following properties:
H
H
9. Lie Group Formalities
•The set of all unitary transformations on
constitutes a group
•This group is too large to have possess the
attractive properties of Lie groups
•We can define the Lie algebra of this group as the
set of single parameter subgroups
The Lie bracket is then defined as the group
H
With the one-parameter subgroups
we can write the “sum” of these as
( ) ,t A t→ ( ) ,t B t→
( ) ( )( )lim / /
n
n
t A t n B t n
→∞
→
( ) ( ) ( ) ( )( )
2
lim / / / /
n
n
t A t n B t n A t n B t n
→∞
→ − −
(Lie product/Trotter’s formula, corollary of BCDH)
( ) ( ) ( )
( )/ /
lim
n
A B t A t n B t n
n
e e e
+
→∞
→
10. Lie Group Formalities (cont.)
ψ(note that generator does not exist for all )
[ ] ( ),X Y XY YXψ ψ= −
( )
( )
0
lim
t
A t
X
t
ψ ψ
ψ
→
−
=
Recall that the group can also be constructed from
infinitesimal generators acting as linear operators
on . We define the generator of asH ( )t A t→
is skew-Hermitian, is HermitianX iX
These skew-Hermitian generators are operators on
corresponding to observables in . In cases of physical
interest, the “bracket” of two single parameter groups
reduces to the commutator
H
Q
We refer to each as a quantum state whose
inner product with a generator gives the expected
value of an observable for a given state
ψ
11. Particle Quantum Mechanics: Heisenberg Algebra
Let us introduce classical observables
This is the familiar nilpotent Heisenberg algebra
Since Z is the center of the algebra (commutes with
all other elements), it must be a constant multiple
of the identity. Since Z is also skew-Hermitian, it
must be purely imaginary. Accordingly,
, ,1p X q Y Z→ → →
{ } { } { }, 1, ,1 ,1 0p q q p= = =
, , 1p q
We proceed to convert these observables (real-
valued functions) to skew-Hermitian operators
{ },X Y Z ihψ ψ ψ= =
Stone-von Neumann Theorem: unitary irrep of
Heisenberg group uniquely determined by h
12. Particle Quantum Mechanics: Probability
( ) ( )q q q q dqψ ψ
∞
−∞
= ∫
( ) { }on ; on ; , on
d
q iq q p h p q ih
dq
ψ
ψ ψ ψ ψ ψ→ → − → −
With the following normalization, we can associate the
inner product with a probability and its composition
with an observable as an “expectation value”
We can represent the Heisenberg algebra as skew-
Hermitian operators on square-integrable functions
of q
( ) ( ), 1q q dqψ ψ ψ ψ
∞
−∞
= =∫
In classical mechanics, observables are real-valued
functions in phase space. In QM, the expectation value
replaces the classical observable, is a
probability measure on configuration space (observables
only have a given probability of taking on a certain
value)— hence the desire for unitary operators!
( )
2
q qψ→
13. Particle Quantum Mechanics: Dynamics
Recall: Newtonian Hamiltonians
2
2
2
d
p i
dq
→
( ) ( )
2
,
2
p
H p q V q= +
{ } { } { }2 2
, 2 ; , 2 ; ,p q p q p q pq q p= = =
( ) ( )V q iV q→
2
2
H i V
q t
ψ ψ
ψ ψ
∂ ∂
= + =
∂ ∂
As operators on square-integrable functions,
we have
Finding the one-parameter group
of unitary transformations
generated by is equivalent
to solving the Schrodinger
equation:
H
Need to extend Heisenberg algebra to functions
quadratic in (SHO: ),p q ( ) 2
V q qµ
14. Symmetries Revisited
Classical and quantum Hamiltonians possess
two types of classical symmetries:
( ) ( )
2
,
2
p
H p q V q= +
Obvious symmetries: { }, 0f V =
Extend unitary representation of the
Heisenberg algebra and to larger algebra
containing a given set of observables
H
{ }, 0f H =
{ }, 0f V ≠{ }, 0f H =Hidden symmetries:
Operators corresponding to these observables
will commute with and yield information about
energy spectrum
H
15. Computation: Obvious Symmetries
Suppose
( ) ( );
dq dp a b
a q p t
dt dt q q
∂ ∂
= = +
∂ ∂
and is linear in momentumf
Employing the “Schrodinger rules”, we posit
the following form for the quantized
where c is introduced to make f skew-Hermitian
{ }, 0f H =
( ) ( )f a q p b q= +
Hamilton’s equations become
f
d
f a ib c
dq
→ + +
16. Computation: Obvious Symmetries (cont.)
Use inner product to determine c, demanding
skew-Hermitian condition satisfied for
*
, ,a b a b
f f
f fψ ψ ψ ψ
= −
= −
1
2
da
c
dq
=
( )
( ) ( )
, a
a b a b
b
a b b a
d
f a q c dq
dt
dda
c a dq
dq dq
ψ
ψ ψ ψ
ψ
ψ ψ ψ ψ ψ
∞
−∞
∞
−∞
= + ÷
= − − +
∫
∫
( )
1
2
d da
a q p a
dq dq
→ +
17. A Theorem
Theorem: The set of observables of the form
forms a Lie algebra under the Poisson bracket. The
representation of this algebra as a Lie algebra of
skew-Hermitian operators is defined by the assignment
Proof: Verify that this assignment is compatible
with irrep of Heisenberg algebra and Hamiltonian,
i.e. check Poisson bracket relation
( ) ( )a q p b q+
( ) ( )
1
2
d da
a q p b q a ib
dq dq
+ → + +
( ) ( )
1
2
d da
a q p b q a ib
dq dq
+ → + +
18. Proof
Classical Poisson Bracket: ( ) ( ){ } 2 1
1 2 1 2,
da da
a q p a q p a a p
dq dq
= − ÷
1 2
1 2
1 1
,
2 2
da dad d
a a
dq dq dq dq
ψ
+ +
2 1 2
1 2 2
1 2 1
2 1 1
1 1 1
2 2 2
1 1 1
2 2 2
da da dad d d
a a a
dq dq dq dq dq dq
da da dad d d
a a a
dq dq dq dq dq dq
ψ ψ
ψ ψ
ψ ψ
ψ ψ
= + + + ÷ ÷
− + + + ÷ ÷
2 2
2 1 2 1 1 2 2 1
1 2 1 22 2
1
2
da da d a d a da da da dad
a a a a
dq dq dt dq dq dq dq dq dq
ψ
ψ
= − + − + − ÷ ÷
Observe action of commutator
on element in Hilbert space
( )
1
2
d da
a q p a
dq dq
→ +
19. Proof (cont.)
Now consider term of the form: ( ) ( ) ;b q V q V iV= →
( ) ( ){ } ( ),
V
a q p V q a q
q
∂
=
∂
( )1
,
2
d Vd da d
a iV i a aV
dq dq dq dq
dV
i a
dq
ψ ψ
ψ
ψ
+ = − ÷
= ÷
Poisson bracket becomes
Observe action of commutator
on element in Hilbert space
20. Example 1: Position-Momentum Uncertainty
,q p
( ) ( )
1
2
d da
a q p b q a ib
dq dq
+ → + +
d
q iq p h
dq
→ → −
Let us take two classical observables
{ }, 1
p q p q
p q
p q q p
∂ ∂ ∂ ∂
= − =
∂ ∂ ∂ ∂
[ ] ( ) ( )
( )
( )
,p q p q q p
d d
pq qh qh
dq dq
dq
i h ih
dq
ψ ψ ψ
ψ ψ
ψ
ψ ψ
= −
= + −
= − = −
21. Example 2: Linear Oscillators
Most general system of coupled linear oscillators:
1-D Simple Harmonic Oscillator
( )2 21
2
H p q= +
,
ij i j ij i j ij i j
i j
H a q q b q p c p p= + +∑
;f p q g p q≡ + ≡ −
{ } { }
{ } { }
, ; ,
, 2; , 4
H f g H g f
f g f ig f ig i
= = −
= − + − =
22. Example 2: Linear Oscillators (cont.)
Consider unitary irrep of Lie algebra spanned by
where X,Y are operators on Hilbert space
corresponding to f,g
[ ],Y X h⇒ =
0 0 0Hu iE u=
, ,H f g
( ) ( )
1 1
; ; 1
2 2
f ig X f ig Y ih+ → − → →
Suppose H has at least one discrete eigenvalue s.t.
It follows that
( ) [ ] ( )
( )
0 0 0
0 0
,
1
H Xu H X u X Hu
i E u
= −
= +
( ) [ ] ( )
( )
0 0 0
0 0
,
1
H Yu H Y u Y Hu
i E u
= −
= −
23. Conclusion
We have reviewed how Poisson brackets determine dynamics
and symmetries of classical systems
We showed that in order to quantize a theory, we replace
the Poisson bracket with an operator valued commutator
This commutator generates the Lie algebra associated
with a given set of observables by acting on members of
a Hilbert space associated with quantum states
Finally, we uncovered the structure of a number of
operators for common Hamiltonians the most important of
which is the harmonic oscillator