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Abstract algebra : theory and applications

Abstract algebra : theory and applications (33회 대출)

자료유형
단행본
개인저자
Judson, Thomas W.
서명 / 저자사항
Abstract algebra : theory and applications / Thomas W. Judson.
발행사항
Boston, MA :   PWS Pub. Co.,   c1994.  
형태사항
xiii, 427 p. : ill. ; 25 cm.
ISBN
0534936849
서지주기
Includes bibliographical references and index.
일반주제명
Algebra, Abstract.
000 00666camuuu200229 a 4500
001 000000241259
005 19980702144306.0
008 930317s1994 maua b 001 0 eng
010 ▼a 93017126
020 ▼a 0534936849
040 ▼a DLC ▼c DLC
049 1 ▼l 121001088 ▼f 과학
050 0 0 ▼a QA162 ▼b .J83 1994
082 0 0 ▼a 512/.02 ▼2 20
090 ▼a 512.02 ▼b J93a
100 1 0 ▼a Judson, Thomas W.
245 1 0 ▼a Abstract algebra : ▼b theory and applications / ▼c Thomas W. Judson.
260 0 ▼a Boston, MA : ▼b PWS Pub. Co., ▼c c1994.
300 ▼a xiii, 427 p. : ▼b ill. ; ▼c 25 cm.
504 ▼a Includes bibliographical references and index.
650 0 ▼a Algebra, Abstract.

소장정보

No. 소장처 청구기호 등록번호 도서상태 반납예정일 예약 서비스
No. 1 소장처 과학도서관/Sci-Info(2층서고)/ 청구기호 512.02 J93a 등록번호 121001088 도서상태 대출가능 반납예정일 예약 서비스 B M

컨텐츠정보

책소개

This text covers the traditional approach of groups, rings, fields with the integration of computing and applications found in areas such as coding theory and cryptography. Applied examples are used to aid in the motivation of learning to prove theorems and propositions. The nature of exercises in this text range over several categories including computational, conceptual and theoretical. These exercises and problems allow the exploration of new results and theory. The flexible organization can be used in many different ways to emphasize theory or applications. It includes features and in text learning aids, applications within every chapter, quantity and quality of examples and exercises, supplementary topics, balance of theory and mathematics, historical notes, and computer science projects.


정보제공 : Aladin

목차

CONTENTS
Preface = ⅶ
0 Preliminaries = 1
  0.1 A Short Note on Proofs = 1
  0.2 Sets and Equivalence Relations = 4
1 The Integers = 23
  1.1 Mathematical Induction = 23
  1.2 The Division Algorithm = 27
2 Groups = 37
  2.1 The Integers mod n and Symmetries = 37
  2.2 Definitions and Examples = 42
  2.3 Subgroups = 48
3 Cyclic Groups = 59
  3.1 Cyclic Subgroups = 59
  3.2 The Group C* = 63
  3.3 The Method of Repeated Squares = 68
4 Permutation Groups = 76
  4.1 Definitions and Notation = 77
  4.2 The Dihedral Groups = 85
5 Cosets and Lagrange's Theorem = 94
  5.1 Cosets = 94
  5.2 Lagrange's Theorem = 97
  5.3 Fermat's and Euler's Theorems = 99
6 Introduction to Cryptography = 103
  6.1 Private Key Cryptography = 104
  6.2 Public Key Cryptography = 107
7 Algebraic Coding Theory = 115
  7.1 Error-Detecting and Correcting Codes = 115
  7.2 Linear Codes = 124
  7.3 Parity-Check and Generator Matrices = 128
  7.4 Efficient Decoding = 135
8 Isomorphisms = 145
  8.1 Definition and Examples = 145
  8.2 Direct Products = 150
9 Homomorphisms and Factor Groups = 160
  9.1 Factor Groups and Normal Subgroups = 160
  9.2 Group Homomorphisms = 163
  9.3 The Isomorphism Theorems = 170
10 Matrix Groups and Symmetry = 179
  10.1 Matrix Groups = 179
  10.2 Symmetry = 188
11 The Structure of Groups = 200
  11.1 Finite Abelian Groups = 200
  11.2 Solvable Groups = 205
12 Group Actions = 213
  12.1 Groups Acting on Sets = 213
  12.2 The Class Equation = 217
  12.3 Burnside's Counting Theorem = 219
13 The Sylow Theorems = 231
  13.1 The Sylow Theorems = 231
  13.2 Examples and Applications = 235
14 Rings = 243
  14.1 Rings = 243
  14.2 Integral Domains and Fields = 248
  14.3 Ring Homomorphisms and Ideals = 250
  14.4 Maximal and Prime Ideals = 255
  14.5 An Application to Software Design = 257
15 Polynomials = 268
  15.1 Polynomial Rings = 269
  15.2 The Division Algorithm = 273
  15.3 Irreducible Polynomials = 277
16 Integral Domains = 289
  16.1 Fields of Fractions = 289
  16.2 Factorization in Integral Domains = 294
17 Lattices and Boolean Algebras = 307
  17.1 Lattices = 307
  17.2 Boolean Algebras = 312
  17.3 The Algebra of Electrical Circuits = 318
18 Vector Spaces = 326
  18.1 Definitions and Examples = 326
  18.2 Subspaces = 328
  18.3 Linear Independence = 329
19 Fields = 336
  19.1 Extension Fields = 336
  19.2 Splitting Fields = 348
  19.3 Geometric Constructions = 351
20 Finite Fields = 360
  20.1 Structure of a Finite Field = 360
  20.2 Polynomial Codes = 365
21 Galois Theory = 379
  21.1 Field Automorphisms = 379
  21.2 The Fundamental Theorem = 385
  21.3 Applications = 393
Notation = 402
Hints and Solutions = 406

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