Chapter 1: Basic Terminology and Properties
* Summary:
* Defines abstract algebraic structures such as groups, rings, and fields.
* Introduces basic concepts like elements, operations, inverses, and identity elements.
* Explores properties like closure, associativity, and commutativity.
* Example:
* Consider the set of integers under addition. This forms a group where the elements are integers, the operation is addition, the identity element is 0, and every integer has an inverse (its negative).
Chapter 2: Groups
* Summary:
* Focuses on properties of groups, including order, subgroups, and cosets.
* Introduces Lagrange's Theorem, which relates the order of a group to the order of its subgroups.
* Explores concepts like cyclic groups and generators.
* Example:
* The set of complex numbers of the form e^(n*i*pi/3) for n = 0, 1, 2 forms a group under multiplication. It is cyclic, generated by e^(i*pi/3).
Chapter 3: Rings
* Summary:
* Defines rings and introduces concepts like ring homomorphisms, units, and ideals.
* Explores properties such as integral domains, fields, and quotient rings.
* Example:
* The set of all polynomials with real coefficients forms a ring under addition and multiplication. Its units are polynomials with non-zero constant terms.
Chapter 4: Euclidean Rings and Unique Factorization Domains
* Summary:
* Introduces Euclidean rings and unique factorization domains (UFDs).
* Explores properties such as prime and irreducible elements, as well as the Euclidean algorithm and unique factorization.
* Example:
* The ring of integers is a Euclidean ring, where the greatest common divisor (GCD) algorithm can be used to find the GCD of any two integers.
Chapter 5: Polynomials and Rational Expressions
* Summary:
* Focuses on polynomials and rational expressions over a field.
* Introduces concepts like polynomial rings, root finding, and factorization.
* Explores properties such as the Fundamental Theorem of Algebra, which states that every polynomial with complex coefficients can be factored into linear factors.
* Example:
* The polynomial x^3 - 2x^2 + 4x - 8 can be factored as (x - 2)(x - 4)(x + 2).
Chapter 6: Vector Spaces and Linear Transformations
* Summary:
* Introduces vector spaces and linear transformations.
* Explores concepts like basis, dimension, and vector subspaces.
* Discusses properties of linear transformations, including injectivity, surjectivity, and matrix representations.
* Example:
* The set of all vectors in R^3 forms a vector space. A linear transformation from R^3 to R^2 can be represented by a 2x3 matrix.
Chapter 7: Groups of Symmetries
* Summary:
* Focuses on finite groups and groups associated with symmetries.
* Introduces concepts like Cayley's Theorem, which states that every group can be represented as a group of permutations.
* Discusses the geometry of groups and their applications in crystallography and molecular symmetry.
* Example:
* The group of symmetries of a square is a dihedral group of order 8. It can be represented by the set of all permutations of the vertices of the square.