Description

Book Synopsis
LINEAR ALGEBRA EXPLORE A COMPREHENSIVE INTRODUCTORY TEXT IN LINEAR ALGEBRA WITH COMPELLING SUPPLEMENTARY MATERIALS, INCLUDING A COMPANION WEBSITE AND SOLUTIONS MANUALS Linear Algebra delivers a fulsome exploration of the central concepts in linear algebra, including multidimensional spaces, linear transformations, matrices, matrix algebra, determinants, vector spaces, subspaces, linear independence, basis, inner products, and eigenvectors. While the text provides challenging problems that engage readers in the mathematical theory of linear algebra, it is written in an accessible and simple-to-grasp fashion appropriate for junior undergraduate students. An emphasis on logic, set theory, and functions exists throughout the book, and these topics are introduced early to provide students with a foundation from which to attack the rest of the material in the text. Linear Algebra includes accompanying material in the form of a companion website that features solutions manuals for students

Table of Contents

Preface xi

Acknowledgments xv

About the Companion Website xvi

1 Logic and Set Theory 1

1.1 Statements 1

Connectives 2

Logical Equivalence 3

1.2 Sets and Quantification 7

Universal Quantifiers 8

Existential Quantifiers 9

Negating Quantifiers 10

Set-Builder Notation 12

Set Operations 13

Families of Sets 14

1.3 Sets and Proofs 18

Direct Proof 20

Subsets 22

Set Equality 23

Indirect Proof 24

Mathematical Induction 25

1.4 Functions 30

Injections 33

Surjections 35

Bijections and Inverses 37

Images and Inverse Images 40

Operations 41

2 Euclidean Space 49

2.1 Vectors 49

Vector Operations 51

Distance and Length 57

Lines and Planes 64

2.2 Dot Product 74

Lines and Planes 77

Orthogonal Projection 82

2.3 Cross Product 88

Properties 91

Areas and Volumes 93

3 Transformations and Matrices 99

3.1 Linear Transformations 99

Properties 103

Matrices 106

3.2 Matrix Algebra 116

Addition, Subtraction, and Scalar Multiplication 116

Properties 119

Multiplication 122

Identity Matrix 129

Distributive Law 132

Matrices and Polynomials 132

3.3 Linear Operators 137

Reflections 137

Rotations 142

Isometries 147

Contractions, Dilations, and Shears 150

3.4 Injections and Surjections 155

Kernel 155

Range 158

3.5 Gauss–Jordan Elimination 162

Elementary Row Operations 164

Square Matrices 167

Nonsquare Matrices 171

Gaussian Elimination 177

4 Invertibility 183

4.1 Invertible Matrices 183

Elementary Matrices 186

Finding the Inverse of a Matrix 192

Systems of Linear Equations 194

4.2 Determinants 198

Multiplying a Row by a Scalar 203

Adding a Multiple of a Row to Another Row 205

Switching Rows 210

4.3 Inverses and Determinants 215

Uniqueness of the Determinant 216

Equivalents to Invertibility 220

Products 222

4.4 Applications 227

The Classical Adjoint 228

Symmetric and Orthogonal Matrices 229

Cramer’s Rule 234

LU Factorization 236

Area and Volume 238

5 Abstract Vectors 245

5.1 Vector Spaces 245

Examples of Vector Spaces 247

Linear Transformations 253

5.2 Subspaces 259

Examples of Subspaces 260

Properties 261

Spanning Sets 264

Kernel and Range 266

5.3 Linear Independence 272

Euclidean Examples 274

Abstract Vector Space Examples 276

5.4 Basis and Dimension 281

Basis 281

Zorn’s Lemma 285

Dimension 287

Expansions and Reductions 290

5.5 Rank and Nullity 296

Rank-Nullity Theorem 297

Fundamental Subspaces 302

Rank and Nullity of a Matrix 304

5.6 Isomorphism 310

Coordinates 315

Change of Basis 320

Matrix of a Linear Transformation 324

6 Inner Product Spaces 335

6.1 Inner Products 335

Norms 341

Metrics 342

Angles 344

Orthogonal Projection 347

6.2 Orthonormal Bases 352

Orthogonal Complement 355

Direct Sum 357

Gram–Schmidt Process 361

QR Factorization 366

7 Matrix Theory 373

7.1 Eigenvectors and Eigenvalues 373

Eigenspaces 375

Characteristic Polynomial 377

Cayley–Hamilton Theorem 382

7.2 Minimal Polynomial 386

Invariant Subspaces 389

Generalized Eigenvectors 391

Primary Decomposition Theorem 393

7.3 Similar Matrices 402

Schur’s Lemma 405

Block Diagonal Form 408

Nilpotent Matrices 412

Jordan Canonical Form 415

7.4 Diagonalization 422

Orthogonal Diagonalization 426

Simultaneous Diagonalization 428

Quadratic Forms 432

Further Reading 441

Index 443

Linear Algebra

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    A Hardback by Michael L. O'Leary

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      Publisher: John Wiley & Sons Inc
      Publication Date: Publication Date: 15/06/2021
      ISBN13: 9781119437444, 978-1119437444
      ISBN10: 111943744X

      Description

      Book Synopsis
      LINEAR ALGEBRA EXPLORE A COMPREHENSIVE INTRODUCTORY TEXT IN LINEAR ALGEBRA WITH COMPELLING SUPPLEMENTARY MATERIALS, INCLUDING A COMPANION WEBSITE AND SOLUTIONS MANUALS Linear Algebra delivers a fulsome exploration of the central concepts in linear algebra, including multidimensional spaces, linear transformations, matrices, matrix algebra, determinants, vector spaces, subspaces, linear independence, basis, inner products, and eigenvectors. While the text provides challenging problems that engage readers in the mathematical theory of linear algebra, it is written in an accessible and simple-to-grasp fashion appropriate for junior undergraduate students. An emphasis on logic, set theory, and functions exists throughout the book, and these topics are introduced early to provide students with a foundation from which to attack the rest of the material in the text. Linear Algebra includes accompanying material in the form of a companion website that features solutions manuals for students

      Table of Contents

      Preface xi

      Acknowledgments xv

      About the Companion Website xvi

      1 Logic and Set Theory 1

      1.1 Statements 1

      Connectives 2

      Logical Equivalence 3

      1.2 Sets and Quantification 7

      Universal Quantifiers 8

      Existential Quantifiers 9

      Negating Quantifiers 10

      Set-Builder Notation 12

      Set Operations 13

      Families of Sets 14

      1.3 Sets and Proofs 18

      Direct Proof 20

      Subsets 22

      Set Equality 23

      Indirect Proof 24

      Mathematical Induction 25

      1.4 Functions 30

      Injections 33

      Surjections 35

      Bijections and Inverses 37

      Images and Inverse Images 40

      Operations 41

      2 Euclidean Space 49

      2.1 Vectors 49

      Vector Operations 51

      Distance and Length 57

      Lines and Planes 64

      2.2 Dot Product 74

      Lines and Planes 77

      Orthogonal Projection 82

      2.3 Cross Product 88

      Properties 91

      Areas and Volumes 93

      3 Transformations and Matrices 99

      3.1 Linear Transformations 99

      Properties 103

      Matrices 106

      3.2 Matrix Algebra 116

      Addition, Subtraction, and Scalar Multiplication 116

      Properties 119

      Multiplication 122

      Identity Matrix 129

      Distributive Law 132

      Matrices and Polynomials 132

      3.3 Linear Operators 137

      Reflections 137

      Rotations 142

      Isometries 147

      Contractions, Dilations, and Shears 150

      3.4 Injections and Surjections 155

      Kernel 155

      Range 158

      3.5 Gauss–Jordan Elimination 162

      Elementary Row Operations 164

      Square Matrices 167

      Nonsquare Matrices 171

      Gaussian Elimination 177

      4 Invertibility 183

      4.1 Invertible Matrices 183

      Elementary Matrices 186

      Finding the Inverse of a Matrix 192

      Systems of Linear Equations 194

      4.2 Determinants 198

      Multiplying a Row by a Scalar 203

      Adding a Multiple of a Row to Another Row 205

      Switching Rows 210

      4.3 Inverses and Determinants 215

      Uniqueness of the Determinant 216

      Equivalents to Invertibility 220

      Products 222

      4.4 Applications 227

      The Classical Adjoint 228

      Symmetric and Orthogonal Matrices 229

      Cramer’s Rule 234

      LU Factorization 236

      Area and Volume 238

      5 Abstract Vectors 245

      5.1 Vector Spaces 245

      Examples of Vector Spaces 247

      Linear Transformations 253

      5.2 Subspaces 259

      Examples of Subspaces 260

      Properties 261

      Spanning Sets 264

      Kernel and Range 266

      5.3 Linear Independence 272

      Euclidean Examples 274

      Abstract Vector Space Examples 276

      5.4 Basis and Dimension 281

      Basis 281

      Zorn’s Lemma 285

      Dimension 287

      Expansions and Reductions 290

      5.5 Rank and Nullity 296

      Rank-Nullity Theorem 297

      Fundamental Subspaces 302

      Rank and Nullity of a Matrix 304

      5.6 Isomorphism 310

      Coordinates 315

      Change of Basis 320

      Matrix of a Linear Transformation 324

      6 Inner Product Spaces 335

      6.1 Inner Products 335

      Norms 341

      Metrics 342

      Angles 344

      Orthogonal Projection 347

      6.2 Orthonormal Bases 352

      Orthogonal Complement 355

      Direct Sum 357

      Gram–Schmidt Process 361

      QR Factorization 366

      7 Matrix Theory 373

      7.1 Eigenvectors and Eigenvalues 373

      Eigenspaces 375

      Characteristic Polynomial 377

      Cayley–Hamilton Theorem 382

      7.2 Minimal Polynomial 386

      Invariant Subspaces 389

      Generalized Eigenvectors 391

      Primary Decomposition Theorem 393

      7.3 Similar Matrices 402

      Schur’s Lemma 405

      Block Diagonal Form 408

      Nilpotent Matrices 412

      Jordan Canonical Form 415

      7.4 Diagonalization 422

      Orthogonal Diagonalization 426

      Simultaneous Diagonalization 428

      Quadratic Forms 432

      Further Reading 441

      Index 443

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