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Linear Algebra
A Geometric ApproachSecond Edition| ©2011 Ted Shifrin; Malcolm Adams
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 t...
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.
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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.
Features
Geometry is introduced early, using vector algebra to do analytic geometry in the first section and dot product in the second.
Concepts and understanding is emphasized, doing proofs in text and providing plenty of exercises. To aid the student in adjusting to the mathematical rigor, blue boxes are provided which discuss matters of logic and proof technique or advice on formulating problem-solving strategies.
Rotations, reflections, and projections are used as a first brush with the notion of linear transformation when introducing matrix multiplication. Linear transformations are then treated in concert with the discussion of projections. Thus, the change-of-basis formula is motivated by starting with a coordinate system in which a geometrically defined linear transformation is clearly understood and asking for its standard matrix.
Orthogonal complements are emphasized, with their role in finding a homogenous system of linear equations that defines a given subspace of Rn.
New to This Edition
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
Second Edition| ©2011
Ted Shifrin; Malcolm Adams
Digital Options

Linear Algebra
Second Edition| 2011
Ted Shifrin; Malcolm Adams
Table of Contents
Preface
Foreword to the Instructor
Foreword to the Student
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
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
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
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
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
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
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
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
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
Answers to Selected Exercises
List of Blue Boxes
Index
Authors

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 Georgia's 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.

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 Adams's 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.

Linear Algebra
Second Edition| 2011
Ted Shifrin; Malcolm Adams
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