Cover: Linear Algebra, 2nd Edition by Ted Shifrin; Malcolm Adams

Linear Algebra

Second Edition  ©2011 Ted Shifrin; Malcolm Adams Formats: Print

Authors

  • Headshot of Ted Shifrin

    Ted Shifrin

    Theodore Shifrin is a Professor of Mathematics and the Associate Head of the Mathematics Department at the University of Georgia. There, he has won multiple awards for teaching, including the Lothar Tresp Outstandin g Honors Professor Award in 2002 and 2010, as well as the Honoratus Medal in 1992. Professor Shifrin was one of  five receipients of the University of Georgias 1997 Josiah Meigs Award for Excellence in Teaching, and in 2000 he was given the Southeastern MAA Award for Distinguished College or University Teaching of Mathematics. In addition to Linear Algebra: A Geometric Approach, Professor Shifrin has published the textbooks Multivariable Mathematics: Linear Algebra, Multivariable Calculus, and Manifolds and Abstract Algebra: A Geometric Approach, and he has also authored the Differential Geometry: A First Course in Curves and Surfaces, a free, online text that is widely used all over the world. His research interests and publications have focused on integral geometry and complex algebraic geometry.

  • Headshot of Malcolm Adams

    Malcolm Adams

    Malcolm Adams is a Professor of Mathematics and the Mathematics Department Head at the University of Georgia, where he also held the General Sandy Beaver Teaching Professorship from 2005-2008. He received is B.A. in Mathematics and Physics from the University of Oregon in 1978, and he earned his PhD in Mathematics from the Massachusetts Institute of Technology in 1982. Professor Adamss research interests focus on differential equations, especially in applications to biology and physics, and he has published another textbook, Measure Theory and Probability, with Victor Guillemin. Outside of the university, he enjoys running, traveling, and hiking with his wife and three children.

Table of Contents

 
Preface
Foreword to the Instructor
Foreword to the Student
 
Chapter 1. Vectors and Matrices
1. Vectors
2. Dot Product
3. Hyperplanes in Rn
4. Systems of Linear Equations and Gaussian Elimination
5. The Theory of Linear Systems
6. Some Applications
 
Chapter 2.  Matrix Algebra
1. Matrix Operations
2. Linear Transformations: An Introduction
3. Inverse Matrices
4. Elementary Matrices: Rows get Equal Time
5. The Transpose
 
Chapter 3. Vector Spaces
1. Subspaces of  Rn
2. The Four Fundamental Subspaces
3. Linear Independence and Basis
4. Dimension and Its Consequences
5. A Graphic Example
6. Abstract Vector Spaces
 
Chapter 4. Projections and Linear Transformations
1. Inconsistent Systems and Projection
2. Orthogonal Bases
3. The Matrix of a Linear Transformation and the Change-of-Basis Formula
4. Linear Transformations on Abstract Vector Spaces
 
Chapter 5. Determinants
1. Properties of Determinants
2. Cofactors and Cramer’s Rule
3. Signed Area in R2 and Signed Volume in R2
 
Chapter 6. Eigenvalues and Eigenvectors
1. The Characteristic Polynomial
2. Diagonalizability
3. Applications
4. The Spectral Theorem
 
Chapter 7. Further Topics
1. Complex Eigenvalues and Jordan Canonical Form
2. Computer Graphics and Geometry
3. Matrix Exponentials and Differential Equations
 
For Further Reading
Answers to Selected Exercises
List of Blue Boxes
Index

Product Updates

20% NEW exercises have been added throughout the text to reinforce key concepts and give students practice in computation.
 
Chapters have been updated, including:
New to Chapter 1, Vectors and Matrices: new proof reasoning examples.
New to Chapter 2, Matrix Algebra: new sections on Linear Transformations and Elementary Matrices.
New to Chapter 3, Vector Spaces: streamlined treatment of four fundamental subspaces and clarified coverage of linear independence and basis.
Updated and reorganized Chapters 4, Projections and Linear Transformations, and 5, Determinants with improved clarity in the coverage of Change of Basis and the geometric material.
 
Stronger emphasis throughout on key concepts and understanding, through new proofs and a variety of text exercises.

New Blue Boxes, integrated throughout the text, discuss matters of logic and proof techniques or advice on formulating problem-solving strategies to aid the student in adjusting to the mathematical rigor.

Authors

  • Headshot of Ted Shifrin

    Ted Shifrin

    Theodore Shifrin is a Professor of Mathematics and the Associate Head of the Mathematics Department at the University of Georgia. There, he has won multiple awards for teaching, including the Lothar Tresp Outstandin g Honors Professor Award in 2002 and 2010, as well as the Honoratus Medal in 1992. Professor Shifrin was one of  five receipients of the University of Georgias 1997 Josiah Meigs Award for Excellence in Teaching, and in 2000 he was given the Southeastern MAA Award for Distinguished College or University Teaching of Mathematics. In addition to Linear Algebra: A Geometric Approach, Professor Shifrin has published the textbooks Multivariable Mathematics: Linear Algebra, Multivariable Calculus, and Manifolds and Abstract Algebra: A Geometric Approach, and he has also authored the Differential Geometry: A First Course in Curves and Surfaces, a free, online text that is widely used all over the world. His research interests and publications have focused on integral geometry and complex algebraic geometry.

  • Headshot of Malcolm Adams

    Malcolm Adams

    Malcolm Adams is a Professor of Mathematics and the Mathematics Department Head at the University of Georgia, where he also held the General Sandy Beaver Teaching Professorship from 2005-2008. He received is B.A. in Mathematics and Physics from the University of Oregon in 1978, and he earned his PhD in Mathematics from the Massachusetts Institute of Technology in 1982. Professor Adamss research interests focus on differential equations, especially in applications to biology and physics, and he has published another textbook, Measure Theory and Probability, with Victor Guillemin. Outside of the university, he enjoys running, traveling, and hiking with his wife and three children.

Table of Contents

 
Preface
Foreword to the Instructor
Foreword to the Student
 
Chapter 1. Vectors and Matrices
1. Vectors
2. Dot Product
3. Hyperplanes in Rn
4. Systems of Linear Equations and Gaussian Elimination
5. The Theory of Linear Systems
6. Some Applications
 
Chapter 2.  Matrix Algebra
1. Matrix Operations
2. Linear Transformations: An Introduction
3. Inverse Matrices
4. Elementary Matrices: Rows get Equal Time
5. The Transpose
 
Chapter 3. Vector Spaces
1. Subspaces of  Rn
2. The Four Fundamental Subspaces
3. Linear Independence and Basis
4. Dimension and Its Consequences
5. A Graphic Example
6. Abstract Vector Spaces
 
Chapter 4. Projections and Linear Transformations
1. Inconsistent Systems and Projection
2. Orthogonal Bases
3. The Matrix of a Linear Transformation and the Change-of-Basis Formula
4. Linear Transformations on Abstract Vector Spaces
 
Chapter 5. Determinants
1. Properties of Determinants
2. Cofactors and Cramer’s Rule
3. Signed Area in R2 and Signed Volume in R2
 
Chapter 6. Eigenvalues and Eigenvectors
1. The Characteristic Polynomial
2. Diagonalizability
3. Applications
4. The Spectral Theorem
 
Chapter 7. Further Topics
1. Complex Eigenvalues and Jordan Canonical Form
2. Computer Graphics and Geometry
3. Matrix Exponentials and Differential Equations
 
For Further Reading
Answers to Selected Exercises
List of Blue Boxes
Index

Product Updates

20% NEW exercises have been added throughout the text to reinforce key concepts and give students practice in computation.
 
Chapters have been updated, including:
New to Chapter 1, Vectors and Matrices: new proof reasoning examples.
New to Chapter 2, Matrix Algebra: new sections on Linear Transformations and Elementary Matrices.
New to Chapter 3, Vector Spaces: streamlined treatment of four fundamental subspaces and clarified coverage of linear independence and basis.
Updated and reorganized Chapters 4, Projections and Linear Transformations, and 5, Determinants with improved clarity in the coverage of Change of Basis and the geometric material.
 
Stronger emphasis throughout on key concepts and understanding, through new proofs and a variety of text exercises.

New Blue Boxes, integrated throughout the text, discuss matters of logic and proof techniques or advice on formulating problem-solving strategies to aid the student in adjusting to the mathematical rigor.
Linear Algebra: A Geometric Approach, Second Edition, presents the standard computational aspects of linear algebra and includes a variety of intriguing interesting applications that would be interesting to motivate science and engineering students, as well as help mathematics students make the transition to more abstract advanced courses. The text guides students on how to think about mathematical concepts and write rigorous mathematical arguments.

Looking for instructor resources like Test Banks, Lecture Slides, and Clicker Questions? Request access to Achieve to explore the full suite of instructor resources.

ISBN:9781429215213

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