Applied Abstract Algebra with MapleTM and MATLAB®
eBook - ePub

Applied Abstract Algebra with MapleTM and MATLAB®

  1. 555 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Applied Abstract Algebra with MapleTM and MATLAB®

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About This Book

Applied Abstract Algebra with MapleTM and MATLAB provides an in-depth introduction to real-world abstract algebraic problems. This popular textbook covers a variety of topics including block designs, coding theory, cryptography, and counting techniques, including Polya's and Burnside's theorems. The book also includes a concise review of all prereq

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Yes, you can access Applied Abstract Algebra with MapleTM and MATLAB® by Richard Klima, Neil Sigmon, Ernest Stitzinger in PDF and/or ePUB format, as well as other popular books in Mathematics & Mathematics General. We have over one million books available in our catalogue for you to explore.

Information

Year
2015
ISBN
9781482248289
Edition
3

Chapter 1

Preliminary Mathematics

There are two purposes to this chapter. We very quickly and concisely review some of the basic algebraic concepts that are probably familiar to many readers, and also introduce some topics for specific use in later chapters. We will generally not pursue topics any further than necessary to obtain the material needed for the applications that follow. Topics reviewed in this chapter include permutation groups, the ring of integers, polynomial rings, finite fields, and examples that incorporate these topics using the philosophies of concepts covered in later chapters.

1.1Permutation Groups

Suppose a set G is closed under an operation *. That is, suppose a * bG for all a, bG. Then * is called a binary operation on G. We will use the notation (G, *) to represent the set G with this operation. Suppose (G, *) also satisfies the following three properties.
  1. (a * b) * c = a * (b * c) for all a, b, cG.
  2. There exists an identity element eG for which e * a = a * e = a for all aG. 3.
  3. For each aG, there exists an inverse element bG for which a * b = b * a = e. The inverse of a is usually denoted by a−1 if * is a general operation or multiplication, and −a if * is addition.
Then (G, *) is called a group. For example, it can easily be verified that for the set ℤ of integers, (ℤ, +) is a group with identity element 0, but (ℤ, ·) with normal integer multiplication is not a group.
Let S be a set, and let B(S) be the collection of all bijections (i.e., one-to-one and onto mappings) on S. Then any αB(S) can be uniquely expressed by its action α(s) on the elements sS.
Example 1.1 If A = {1, 2, 3}, then B(A) contains six elements. One αB(A) can be expressed as α(1) = 2, α(2) = 3, and α(3) = 1.
Let ∘ represent the composition operation on B(S). Specifically, if α, βB(S), then define αβ by the action (αβ)(s) = α(β(s)) for sS. Since the composition of two bijections on S is also a bijection on S, then αβB(S). Thus, ∘ is a binary operation on B(S). It can easily be verified that (B(S), ∘) is a group.
A group (G, *) is said to be abelian or commutative if a * b = b * a for all a, bG. For example, since m + n = n + m for all m, n ∈ ℤ, then the group (ℤ, +) is abelian. However, for a set S with more than two elements, there do exist α, βB(S) such that αββα. Thus, for a set S with more than two elements, the group (B(S), ∘) is not abelian....

Table of contents

  1. Cover
  2. Half Title
  3. Series Page
  4. Title Page
  5. Copyright Page
  6. Table of Contents
  7. Preface
  8. 1 Preliminary Mathematics
  9. 2 Block Designs
  10. 3 Error-Correcting Codes
  11. 4 BCH Codes
  12. 5 Reed-Solomon Codes
  13. 6 Algebraic Cryptography
  14. 7 Vigenère Ciphers
  15. 8 RSA Ciphers
  16. 9 Elliptic Curve Cryptography
  17. 10 The Advanced Encryption Standard
  18. 11 Pólya Theory
  19. 12 Graph Theory
  20. 13 Symmetry in Western Music
  21. Bibliography
  22. Hints or Answers for Selected Exercises
  23. Index