SlideShare a Scribd company logo
1 of 13
MATH 31
ABSTRACTALGEBRA
HISTORYOFABSTRACT
ALGEBRA
In mathematics, more specifically algebra, abstract algebra or modern algebra is the
study of algebraic structures. Algebraic structures include groups, rings, fields,
modules, vector spaces, lattices, and algebras over a field. The term abstract algebra
was coined in the early 20th century to distinguish it from older parts of algebra, and
more specifically from elementary algebra, the use of variables to represent numbers in
computation and reasoning. The abstract perspective on algebra has become so
fundamental to advanced mathematics that it is simply called "algebra", while the term
"abstract algebra" is seldom used except in pedagogy. Algebraic structures, with their
associated homomorphisms, form mathematical categories. Category theory gives a
unified framework to study properties and constructions that are similar for various
structures. Universal algebra is a related subject that studies types of algebraic
structures as single objects. For example, the structure of groups is a single object in
universal algebra, which is called the variety of groups.
Before the nineteenth century, algebra was defined as the study of polynomials.
Abstract algebra came into existence during the nineteenth century as more
complex problems and solution methods developed. Concrete problems and
examples came from number theory, geometry, analysis, and the solutions of
algebraic equations. Most theories that are now recognized as parts of abstract
algebra started as collections of disparate facts from various branches of
mathematics, acquired a common theme that served as a core around which
various results were grouped, and finally became unified on a basis of a
common set of concepts. This unification occurred in the early decades of the
20th century and resulted in the formal axiomatic definitions of various algebraic
structures such as groups, rings, and fields. This historical development is
almost the opposite of the treatment found in popular textbooks, such as van
der Waerden's Moderne Algebra, which start each chapter with a formal
definition of a structure and then follow it with concrete examples.
The end of the 19th and the beginning of the 20th century saw a shift in the methodology of
mathematics. Abstract algebra emerged around the start of the 20th century, under the name
modern algebra. Its study was part of the drive for more intellectual rigor in mathematics.
Initially, the assumptions in classical algebra, on which the whole of mathematics (and major
parts of the natural sciences) depend, took the form of axiomatic systems. No longer satisfied
with establishing properties of concrete objects, mathematicians started to turn their attention
to general theory. Formal definitions of certain algebraic structures began to emerge in the
19th century. For example, results about various groups of permutations came to be seen as
instances of general theorems that concern a general notion of an abstract group. Questions
of structure and classification of various mathematical objects came to forefront.[citation
needed] These processes were occurring throughout all of mathematics, but became
especially pronounced in algebra. Formal definition through primitive operations and axioms
were proposed for many basic algebraic structures, such as groups, rings, and fields. Hence
such things as group theory and ring theory took their places in pure mathematics. The
algebraic investigations of general fields by Ernst Steinitz and of commutative and then
general rings by David Hilbert, Emil Artin and Emmy Noether, building on the work of Ernst
Kummer, Leopold Kronecker and Richard Dedekind, who had considered ideals in commutative
rings, and of Georg Frobenius and Issai Schur, concerning representation theory of groups,
came to define abstract algebra. These developments of the last quarter of the 19th century
and the first quarter of 20th century were systematically exposed in Bartel van der Waerden's
Moderne Algebra, the two-volume monograph published in 1930–1931 that reoriented the idea
MODERN ALGEBRA
Algebraic structures in Abstract Algebra
In abstract algebra, a group is a set of elements defined with an operation that integrates
any two of its elements to form a third element satisfying four axioms. These axioms to be
satisfied by a group together with the operation are; closure, associativity, identity and
invertibility and are called group axioms.
GROUP
RINGS
In mathematics, rings are algebraic structures that generalize fields: multiplication need
not be commutative and multiplicative inverses need not exist. Informally, a ring is a set
equipped with two binary operations satisfying properties analogous to those of addition
and multiplication of integers. Ring elements may be numbers such as integers or
complex numbers, but they may also be non-numerical objects such as polynomials,
square matrices, functions, and power series. Formally, a ring is a set endowed with two
binary operations called addition and multiplication such that the ring is an abelian group
with respect to the addition operator, and the multiplication operator is associative, is
distributive over the addition operation, and has a multiplicative identity element. (Some
authors define rings without requiring a multiplicative identity and instead call the
structure defined above a ring with identity.
FIELDS
In mathematics, a field is a set on which addition, subtraction, multiplication, and division
are defined and behave as the corresponding operations on rational and real numbers. A
field is thus a fundamental algebraic structure which is widely used in algebra, number
theory, and many other areas of mathematics. The best known fields are the field of
rational numbers, the field of real numbers and the field of complex numbers. Many other
fields, such as fields of rational functions, algebraic function fields, algebraic number
fields, and p-adic fields are commonly used and studied in mathematics, particularly in
number theory and algebraic geometry. Most cryptographic protocols rely on finite fields,
i.e., fields with finitely many elements.
MODULES
In mathematics, a module is a generalization of the notion of vector space in which the
field of scalars is replaced by a ring. The concept of module generalizes also the notion of
abelian group, since the abelian groups are exactly the modules over the ring of integers.
Like a vector space, a module is an additive abelian group, and scalar multiplication is
distributive over the operation of addition between elements of the ring or module and is
compatible with the ring multiplication.
VECTOR SPACES
A vector space or a linear space is a group of objects called vectors, added collectively
and multiplied (“scaled”) by numbers, called scalars. Scalars are usually considered to be
real numbers. But there are few cases of scalar multiplication by rational numbers,
complex numbers, etc. with vector spaces. The methods of vector addition and scalar
multiplication must satisfy specific requirements such as axioms. Real vector space and
complex vector space terms are used to define scalars as real or complex numbers.
LATTICES
A lattice is an abstract structure studied in the mathematical subdisciplines of order
theory and abstract algebra. It consists of a partially ordered set in which every pair of
elements has a unique supremum (also called a least upper bound or join) and a unique
infimum (also called a greatest lower bound or meet). An example is given by the power
set of a set, partially ordered by inclusion, for which the supremum is the union and the
infimum is the intersection. Another example is given by the natural numbers, partially
ordered by divisibility, for which the supremum is the least common multiple and the
infimum is the greatest common divisor. Lattices can also be characterized as algebraic
structures satisfying certain axiomatic identities. Since the two definitions are equivalent,
lattice theory draws on both order theory and universal algebra. Semilattices include
lattices, which in turn include Heyting and Boolean algebras. These lattice-like structures
all admit order-theoretic as well as algebraic descriptions.
ALGEBRA OVER A FIELD
In mathematics, an algebra over a field (often simply called an algebra) is a vector space
equipped with a bilinear product. Thus, an algebra is an algebraic structure consisting of a
set together with operations of multiplication and addition and scalar multiplication by
elements of a field and satisfying the axioms implied by "vector space" and "bilinear".
THE
END

More Related Content

Similar to MATH-31-GROUP-1.pptx for college students who studying math

Original presentation
Original presentationOriginal presentation
Original presentation
Kabir Gupta
 
euclidz geometry
euclidz geometryeuclidz geometry
euclidz geometry
Kabir Gupta
 
New microsoft power point presentation
New microsoft power point presentationNew microsoft power point presentation
New microsoft power point presentation
Rajat Agrawal
 

Similar to MATH-31-GROUP-1.pptx for college students who studying math (20)

Mathematical analysis
Mathematical analysisMathematical analysis
Mathematical analysis
 
ON THE CATEGORY OF ORDERED TOPOLOGICAL MODULES OPTIMIZATION AND LAGRANGE’S PR...
ON THE CATEGORY OF ORDERED TOPOLOGICAL MODULES OPTIMIZATION AND LAGRANGE’S PR...ON THE CATEGORY OF ORDERED TOPOLOGICAL MODULES OPTIMIZATION AND LAGRANGE’S PR...
ON THE CATEGORY OF ORDERED TOPOLOGICAL MODULES OPTIMIZATION AND LAGRANGE’S PR...
 
Branches of mathematics
Branches of mathematicsBranches of mathematics
Branches of mathematics
 
Branches of mathematics
Branches of mathematicsBranches of mathematics
Branches of mathematics
 
Original presentation
Original presentationOriginal presentation
Original presentation
 
My Report Profile in Math Major 10,11,12
My Report Profile in Math Major 10,11,12My Report Profile in Math Major 10,11,12
My Report Profile in Math Major 10,11,12
 
3.1 algebra the language of mathematics
3.1    algebra the language of mathematics3.1    algebra the language of mathematics
3.1 algebra the language of mathematics
 
euclidz geometry
euclidz geometryeuclidz geometry
euclidz geometry
 
Euclidean geometry
Euclidean geometryEuclidean geometry
Euclidean geometry
 
history in math_1.pptx
history in math_1.pptxhistory in math_1.pptx
history in math_1.pptx
 
Set theory
Set theorySet theory
Set theory
 
Euclids geometry
Euclids geometryEuclids geometry
Euclids geometry
 
Isaac newton
Isaac newton Isaac newton
Isaac newton
 
Isaac newton
Isaac newtonIsaac newton
Isaac newton
 
A Book of Abstract Algebra.pdf
A Book of Abstract Algebra.pdfA Book of Abstract Algebra.pdf
A Book of Abstract Algebra.pdf
 
New microsoft power point presentation
New microsoft power point presentationNew microsoft power point presentation
New microsoft power point presentation
 
New microsoft power point presentation
New microsoft power point presentationNew microsoft power point presentation
New microsoft power point presentation
 
Third lecture
Third lectureThird lecture
Third lecture
 
list of mathematician
list of mathematicianlist of mathematician
list of mathematician
 
The mathematical and philosophical concept of vector
The mathematical and philosophical concept of vectorThe mathematical and philosophical concept of vector
The mathematical and philosophical concept of vector
 

Recently uploaded

SPLICE Working Group: Reusable Code Examples
SPLICE Working Group:Reusable Code ExamplesSPLICE Working Group:Reusable Code Examples
SPLICE Working Group: Reusable Code Examples
Peter Brusilovsky
 
Transparency, Recognition and the role of eSealing - Ildiko Mazar and Koen No...
Transparency, Recognition and the role of eSealing - Ildiko Mazar and Koen No...Transparency, Recognition and the role of eSealing - Ildiko Mazar and Koen No...
Transparency, Recognition and the role of eSealing - Ildiko Mazar and Koen No...
EADTU
 
會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文
會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文
會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文
中 央社
 

Recently uploaded (20)

SPLICE Working Group: Reusable Code Examples
SPLICE Working Group:Reusable Code ExamplesSPLICE Working Group:Reusable Code Examples
SPLICE Working Group: Reusable Code Examples
 
OSCM Unit 2_Operations Processes & Systems
OSCM Unit 2_Operations Processes & SystemsOSCM Unit 2_Operations Processes & Systems
OSCM Unit 2_Operations Processes & Systems
 
24 ĐỀ THAM KHẢO KÌ THI TUYỂN SINH VÀO LỚP 10 MÔN TIẾNG ANH SỞ GIÁO DỤC HẢI DƯ...
24 ĐỀ THAM KHẢO KÌ THI TUYỂN SINH VÀO LỚP 10 MÔN TIẾNG ANH SỞ GIÁO DỤC HẢI DƯ...24 ĐỀ THAM KHẢO KÌ THI TUYỂN SINH VÀO LỚP 10 MÔN TIẾNG ANH SỞ GIÁO DỤC HẢI DƯ...
24 ĐỀ THAM KHẢO KÌ THI TUYỂN SINH VÀO LỚP 10 MÔN TIẾNG ANH SỞ GIÁO DỤC HẢI DƯ...
 
Andreas Schleicher presents at the launch of What does child empowerment mean...
Andreas Schleicher presents at the launch of What does child empowerment mean...Andreas Schleicher presents at the launch of What does child empowerment mean...
Andreas Schleicher presents at the launch of What does child empowerment mean...
 
Graduate Outcomes Presentation Slides - English (v3).pptx
Graduate Outcomes Presentation Slides - English (v3).pptxGraduate Outcomes Presentation Slides - English (v3).pptx
Graduate Outcomes Presentation Slides - English (v3).pptx
 
VAMOS CUIDAR DO NOSSO PLANETA! .
VAMOS CUIDAR DO NOSSO PLANETA!                    .VAMOS CUIDAR DO NOSSO PLANETA!                    .
VAMOS CUIDAR DO NOSSO PLANETA! .
 
PSYPACT- Practicing Over State Lines May 2024.pptx
PSYPACT- Practicing Over State Lines May 2024.pptxPSYPACT- Practicing Over State Lines May 2024.pptx
PSYPACT- Practicing Over State Lines May 2024.pptx
 
When Quality Assurance Meets Innovation in Higher Education - Report launch w...
When Quality Assurance Meets Innovation in Higher Education - Report launch w...When Quality Assurance Meets Innovation in Higher Education - Report launch w...
When Quality Assurance Meets Innovation in Higher Education - Report launch w...
 
UChicago CMSC 23320 - The Best Commit Messages of 2024
UChicago CMSC 23320 - The Best Commit Messages of 2024UChicago CMSC 23320 - The Best Commit Messages of 2024
UChicago CMSC 23320 - The Best Commit Messages of 2024
 
demyelinated disorder: multiple sclerosis.pptx
demyelinated disorder: multiple sclerosis.pptxdemyelinated disorder: multiple sclerosis.pptx
demyelinated disorder: multiple sclerosis.pptx
 
diagnosting testing bsc 2nd sem.pptx....
diagnosting testing bsc 2nd sem.pptx....diagnosting testing bsc 2nd sem.pptx....
diagnosting testing bsc 2nd sem.pptx....
 
Stl Algorithms in C++ jjjjjjjjjjjjjjjjjj
Stl Algorithms in C++ jjjjjjjjjjjjjjjjjjStl Algorithms in C++ jjjjjjjjjjjjjjjjjj
Stl Algorithms in C++ jjjjjjjjjjjjjjjjjj
 
Transparency, Recognition and the role of eSealing - Ildiko Mazar and Koen No...
Transparency, Recognition and the role of eSealing - Ildiko Mazar and Koen No...Transparency, Recognition and the role of eSealing - Ildiko Mazar and Koen No...
Transparency, Recognition and the role of eSealing - Ildiko Mazar and Koen No...
 
MOOD STABLIZERS DRUGS.pptx
MOOD     STABLIZERS           DRUGS.pptxMOOD     STABLIZERS           DRUGS.pptx
MOOD STABLIZERS DRUGS.pptx
 
How to Manage Website in Odoo 17 Studio App.pptx
How to Manage Website in Odoo 17 Studio App.pptxHow to Manage Website in Odoo 17 Studio App.pptx
How to Manage Website in Odoo 17 Studio App.pptx
 
How to Send Pro Forma Invoice to Your Customers in Odoo 17
How to Send Pro Forma Invoice to Your Customers in Odoo 17How to Send Pro Forma Invoice to Your Customers in Odoo 17
How to Send Pro Forma Invoice to Your Customers in Odoo 17
 
Book Review of Run For Your Life Powerpoint
Book Review of Run For Your Life PowerpointBook Review of Run For Your Life Powerpoint
Book Review of Run For Your Life Powerpoint
 
Supporting Newcomer Multilingual Learners
Supporting Newcomer  Multilingual LearnersSupporting Newcomer  Multilingual Learners
Supporting Newcomer Multilingual Learners
 
Đề tieng anh thpt 2024 danh cho cac ban hoc sinh
Đề tieng anh thpt 2024 danh cho cac ban hoc sinhĐề tieng anh thpt 2024 danh cho cac ban hoc sinh
Đề tieng anh thpt 2024 danh cho cac ban hoc sinh
 
會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文
會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文
會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文會考英文
 

MATH-31-GROUP-1.pptx for college students who studying math

  • 3. In mathematics, more specifically algebra, abstract algebra or modern algebra is the study of algebraic structures. Algebraic structures include groups, rings, fields, modules, vector spaces, lattices, and algebras over a field. The term abstract algebra was coined in the early 20th century to distinguish it from older parts of algebra, and more specifically from elementary algebra, the use of variables to represent numbers in computation and reasoning. The abstract perspective on algebra has become so fundamental to advanced mathematics that it is simply called "algebra", while the term "abstract algebra" is seldom used except in pedagogy. Algebraic structures, with their associated homomorphisms, form mathematical categories. Category theory gives a unified framework to study properties and constructions that are similar for various structures. Universal algebra is a related subject that studies types of algebraic structures as single objects. For example, the structure of groups is a single object in universal algebra, which is called the variety of groups.
  • 4. Before the nineteenth century, algebra was defined as the study of polynomials. Abstract algebra came into existence during the nineteenth century as more complex problems and solution methods developed. Concrete problems and examples came from number theory, geometry, analysis, and the solutions of algebraic equations. Most theories that are now recognized as parts of abstract algebra started as collections of disparate facts from various branches of mathematics, acquired a common theme that served as a core around which various results were grouped, and finally became unified on a basis of a common set of concepts. This unification occurred in the early decades of the 20th century and resulted in the formal axiomatic definitions of various algebraic structures such as groups, rings, and fields. This historical development is almost the opposite of the treatment found in popular textbooks, such as van der Waerden's Moderne Algebra, which start each chapter with a formal definition of a structure and then follow it with concrete examples.
  • 5. The end of the 19th and the beginning of the 20th century saw a shift in the methodology of mathematics. Abstract algebra emerged around the start of the 20th century, under the name modern algebra. Its study was part of the drive for more intellectual rigor in mathematics. Initially, the assumptions in classical algebra, on which the whole of mathematics (and major parts of the natural sciences) depend, took the form of axiomatic systems. No longer satisfied with establishing properties of concrete objects, mathematicians started to turn their attention to general theory. Formal definitions of certain algebraic structures began to emerge in the 19th century. For example, results about various groups of permutations came to be seen as instances of general theorems that concern a general notion of an abstract group. Questions of structure and classification of various mathematical objects came to forefront.[citation needed] These processes were occurring throughout all of mathematics, but became especially pronounced in algebra. Formal definition through primitive operations and axioms were proposed for many basic algebraic structures, such as groups, rings, and fields. Hence such things as group theory and ring theory took their places in pure mathematics. The algebraic investigations of general fields by Ernst Steinitz and of commutative and then general rings by David Hilbert, Emil Artin and Emmy Noether, building on the work of Ernst Kummer, Leopold Kronecker and Richard Dedekind, who had considered ideals in commutative rings, and of Georg Frobenius and Issai Schur, concerning representation theory of groups, came to define abstract algebra. These developments of the last quarter of the 19th century and the first quarter of 20th century were systematically exposed in Bartel van der Waerden's Moderne Algebra, the two-volume monograph published in 1930–1931 that reoriented the idea MODERN ALGEBRA
  • 6. Algebraic structures in Abstract Algebra In abstract algebra, a group is a set of elements defined with an operation that integrates any two of its elements to form a third element satisfying four axioms. These axioms to be satisfied by a group together with the operation are; closure, associativity, identity and invertibility and are called group axioms. GROUP
  • 7. RINGS In mathematics, rings are algebraic structures that generalize fields: multiplication need not be commutative and multiplicative inverses need not exist. Informally, a ring is a set equipped with two binary operations satisfying properties analogous to those of addition and multiplication of integers. Ring elements may be numbers such as integers or complex numbers, but they may also be non-numerical objects such as polynomials, square matrices, functions, and power series. Formally, a ring is a set endowed with two binary operations called addition and multiplication such that the ring is an abelian group with respect to the addition operator, and the multiplication operator is associative, is distributive over the addition operation, and has a multiplicative identity element. (Some authors define rings without requiring a multiplicative identity and instead call the structure defined above a ring with identity.
  • 8. FIELDS In mathematics, a field is a set on which addition, subtraction, multiplication, and division are defined and behave as the corresponding operations on rational and real numbers. A field is thus a fundamental algebraic structure which is widely used in algebra, number theory, and many other areas of mathematics. The best known fields are the field of rational numbers, the field of real numbers and the field of complex numbers. Many other fields, such as fields of rational functions, algebraic function fields, algebraic number fields, and p-adic fields are commonly used and studied in mathematics, particularly in number theory and algebraic geometry. Most cryptographic protocols rely on finite fields, i.e., fields with finitely many elements.
  • 9. MODULES In mathematics, a module is a generalization of the notion of vector space in which the field of scalars is replaced by a ring. The concept of module generalizes also the notion of abelian group, since the abelian groups are exactly the modules over the ring of integers. Like a vector space, a module is an additive abelian group, and scalar multiplication is distributive over the operation of addition between elements of the ring or module and is compatible with the ring multiplication.
  • 10. VECTOR SPACES A vector space or a linear space is a group of objects called vectors, added collectively and multiplied (“scaled”) by numbers, called scalars. Scalars are usually considered to be real numbers. But there are few cases of scalar multiplication by rational numbers, complex numbers, etc. with vector spaces. The methods of vector addition and scalar multiplication must satisfy specific requirements such as axioms. Real vector space and complex vector space terms are used to define scalars as real or complex numbers.
  • 11. LATTICES A lattice is an abstract structure studied in the mathematical subdisciplines of order theory and abstract algebra. It consists of a partially ordered set in which every pair of elements has a unique supremum (also called a least upper bound or join) and a unique infimum (also called a greatest lower bound or meet). An example is given by the power set of a set, partially ordered by inclusion, for which the supremum is the union and the infimum is the intersection. Another example is given by the natural numbers, partially ordered by divisibility, for which the supremum is the least common multiple and the infimum is the greatest common divisor. Lattices can also be characterized as algebraic structures satisfying certain axiomatic identities. Since the two definitions are equivalent, lattice theory draws on both order theory and universal algebra. Semilattices include lattices, which in turn include Heyting and Boolean algebras. These lattice-like structures all admit order-theoretic as well as algebraic descriptions.
  • 12. ALGEBRA OVER A FIELD In mathematics, an algebra over a field (often simply called an algebra) is a vector space equipped with a bilinear product. Thus, an algebra is an algebraic structure consisting of a set together with operations of multiplication and addition and scalar multiplication by elements of a field and satisfying the axioms implied by "vector space" and "bilinear".