NOTE: Before purchasing, check with your instructor to ensure you select the correct ISBN. Several versions of Pearson's MyLab &amp; Mastering products exist for each title, and registrations are not transferable. To register for and use Pearson's MyLab &amp; Mastering products, you may also need a Course ID, which your instructor will provide. Used books, rentals, and purchases made outside of Pearson If purchasing or renting from companies other than Pearson, the access codes for Pearson's MyLab &amp; Mastering products may not be included, may be incorrect, or may be previously redeemed. Check with the seller before completing your purchase. With traditional linear algebra texts, the course is relatively easy for students during the early stages as material is presented in a familiar, concrete setting. However, when abstract concepts are introduced, students often hit a wall. Instructors seem to agree that certain concepts (such as linear independence, spanning, subspace, vector space, and linear transformations) are not easily understood and require time to assimilate. These concepts are fundamental to the study of linear algebra, so students' understanding of them is vital to mastering the subject. This text makes these concepts more accessible by introducing them early in a familiar, concrete Rn setting, developing them gradually, and returning to them throughout the text so that when they are discussed in the abstract, students are readily able to understand. 0134022696 / 9780134022697 Linear Algebra and Its Applications plus New MyMathLab with Pearson eText -- Access Card Package Package consists of: 0321431308 / 9780321431301 MyMathLab -- Glue-in Access Card 0321654064 / 9780321654069 MyMathLab Inside Star Sticker 032198238X / 9780321982384 Linear Algebra and Its Applications

Linear Algebra and Its Applications plus New MyLab Math with Pearson eText -- Access Card Package (Featured Titles for Linear Algebra (Introductory))

Science & Math

LAY, David

Lay, Steven

McDonald, Judi

Mathematics

Pearson

MyLab Math 18-Week Access Card to accompany Lay/Lay/McDonald, Linear Algebra and Its Applications, 6/e This item is an access card for MyLab(TM) Math. This physical access card includes an access code for your MyLab Math course. In order to access the online course you will also need a Course ID, provided by your instructor. This title-specific access card provides access to the Lay/Lay/McDonald, Linear Algebra and Its Applications 6/e accompanying MyLab course ONLY. 0135851157 / 9780135851159 MYLAB MATH WITH PEARSON ETEXT -- ACCESS CARD -- FOR LINEAR ALGEBRA AND ITS APPLICATIONS (18-WEEKS), 6/e MyLab Math is the world's leading online tutorial, and assessment program designed to help you learn and succeed in your mathematics course. MyLab Math online courses are created to accompany one of Pearson's best-selling math textbooks. Every MyLab Math course includes a complete, interactive eText. Learn more about MyLab Math. ALERT: Before you purchase, check with your instructor or review your course syllabus to ensure that you select the correct ISBN. Used or rental books If you rent or purchase a used book with an access code, the access code may have been redeemed previously and you may have to purchase a new access code.Access codes Access codes that are purchased from sellers other than Pearson carry a higher risk of being either the wrong ISBN or a previously redeemed code. Check with the seller prior to purchase.

Linear Algebra and Its Applications -- MyLab Math with Pearson eText Access Code

About the Author\nDavid C. Lay earned a B.A. from Aurora University (Illinois), and an M.A. and Ph.D. from the University of California at Los Angeles. David Lay was an educator and research mathematician for more than 40 years, mostly at the University of Maryland, College Park. He also served as a visiting professor at the University of Amsterdam, the Free University in Amsterdam, and the University of Kaiserslautern, Germany. He published more than 30 research articles on functional analysis and linear algebra.\nAs a founding member of the NSF-sponsored Linear Algebra Curriculum Study Group, David Lay was a leader in the current movement to modernize the linear algebra curriculum. Lay was also a coauthor of several mathematics texts, including Introduction to Functional Analysis with Angus E. Taylor, Calculus and Its Applications, with L. J. Goldstein and D. I. Schneider, and Linear Algebra Gems–Assets for Undergraduate Mathematics, with D. Carlson, C. R. Johnson, and A. D. Porter.\nDavid Lay received four university awards for teaching excellence, including, in 1996, the title of Distinguished Scholar–Teacher of the University of Maryland. In 1994, he was given one of the Mathematical Association of America’s Awards for Distinguished College or University Teaching of Mathematics. He was elected by the university students to membership in Alpha Lambda Delta National Scholastic Honor Society and Golden Key National Honor Society. In 1989, Aurora University conferred on him the Outstanding Alumnus award. David Lay was a member of the American Mathematical Society, the Canadian Mathematical Society, the International Linear Algebra Society, the Mathematical Association of America, Sigma Xi, and the Society for Industrial and Applied Mathematics. He also served several terms on the national board of the Association of Christians in the Mathematical Sciences.\nIn October of 2018, David Lay passed away, but his legacy continues to benefit students of linear algebra as they study the subject in this widely acclaimed text.\nSteven R. Lay began his teaching career at Aurora University (Illinois) in 1971, after earning an M.A. and a Ph.D. in mathematics from the University of California at Los Angeles. His career in mathematics was interrupted for eight years while serving as a missionary in Japan. Upon his return to the States in 1998, he joined the mathematics faculty at Lee University (Tennessee) and has been there ever since. Since then he has supported his brother David in refining and expanding the scope of this popular linear algebra text, including writing most of Chapters 8 and 9. Steven is also the author of three college-level mathematics texts: Convex Sets and Their Applications, Analysis with an Introduction to Proof, and Principles of Algebra.\nIn 1985, Steven received the Excellence in Teaching Award at Aurora University. He and David, and their father, Dr. L. Clark Lay, are all distinguished mathematicians, and in 1989 they jointly received the Outstanding Alumnus award from their alma mater, Aurora University. In 2006, Steven was honored to receive the Excellence in Scholarship Award at Lee University. He is a member of the American Mathematical Society, the Mathematics Association of America, and the Association of Christians in the Mathematical Sciences.\nJudi J. McDonald became a co-author on this text’s 5th Edition, having worked closely with David on the 4th Edition. She holds a B.Sc. in Mathematics from the University of Alberta, and an M.A. and Ph.D. from the University of Wisconsin. As a professor of mathematics, she has more than 40 publications in linear algebra research journals and more than 20 students have completed graduate degrees in linear algebra under her supervision. She is an associate dean of the Graduate School at Washington State University and a former chair of the Faculty Senate. She has worked with the mathematics outreach project Math Central at http://mathcentral.uregina.ca/ and is a memb

Study Guide for Linear Algebra and Its Applications

MyLab Math 24-Month Access Card to accompany Lay/Lay/McDonald, Linear Algebra and Its Applications, 6/e This item is an access card for MyLab(TM) Math. This physical access card includes an access code for your MyLab Math course. In order to access the online course you will also need a Course ID, provided by your instructor. This title-specific access card provides access to the Lay/Lay/McDonald, Linear Algebra and Its Applications 6/e accompanying MyLab course ONLY. 0136679293 / 9780136679295 MYLAB MATH WITH PEARSON ETEXT -- STANDALONE ACCESS CARD -- FOR LINEAR ALGEBRA AND ITS APPLICATIONS -- 24 MONTHS, 6/e MyLab Math is the world's leading online tutorial, and assessment program designed to help you learn and succeed in your mathematics course. MyLab Math online courses are created to accompany one of Pearson's best-selling math textbooks. Every MyLab Math course includes a complete, interactive eText. Learn more about MyLab Math. ALERT: Before you purchase, check with your instructor or review your course syllabus to ensure that you select the correct ISBN. Used or rental books If you rent or purchase a used book with an access code, the access code may have been redeemed previously and you may have to purchase a new access code.Access codes Access codes that are purchased from sellers other than Pearson carry a higher risk of being either the wrong ISBN or a previously redeemed code. Check with the seller prior to purchase.

Linear Algebra and Its Applications

<h2>Table of Contents</h2> <div class="c-non-traditional-number-list_container"> <ul> <li>Linear Equations in Linear Algebra <ul> <li>Introductory Example: Linear Models in Economics and Engineering</li> <li>1.1 Systems of Linear Equations</li> <li>1.2 Row Reduction and Echelon Forms</li> <li>1.3 Vector Equations</li> <li>1.4 The Matrix Equation Ax = b</li> <li>1.5 Solution Sets of Linear Systems</li> <li>1.6 Applications of Linear Systems</li> <li>1.7 Linear Independence</li> <li>1.8 Introduction to Linear Transformations</li> <li>1.9 The Matrix of a Linear Transformation</li> <li>1.10 Linear Models in Business, Science, and Engineering</li> </ul> <ul> <li>Projects</li> <li>Supplementary Exercises</li> </ul> </li> <li>Matrix Algebra <ul> <li>Introductory Example: Computer Models in Aircraft Design</li> <li>2.1 Matrix Operations</li> <li>2.2 The Inverse of a Matrix</li> <li>2.3 Characterizations of Invertible Matrices</li> <li>2.4 Partitioned Matrices</li> <li>2.5 Matrix Factorizations</li> <li>2.6 The Leontief Input--Output Model</li> <li>2.7 Applications to Computer Graphics</li> <li>2.8 Subspaces of Rn</li> <li>2.9 Dimension and Rank</li> </ul> <ul> <li>Projects</li> <li>Supplementary Exercises</li> </ul> </li> <li>Determinants <ul> <li>Introductory Example: Random Paths and Distortion</li> <li>3.1 Introduction to Determinants</li> <li>3.2 Properties of Determinants</li> <li>3.3 Cramer''s Rule, Volume, and Linear Transformations</li> </ul> <ul> <li>Projects</li> <li>Supplementary Exercises</li> </ul> </li> <li>Vector Spaces <ul> <li>Introductory Example: Space Flight and Control Systems</li> <li>4.1 Vector Spaces and Subspaces</li> <li>4.2 Null Spaces, Column Spaces, and Linear Transformations</li> <li>4.3 Linearly Independent Sets; Bases</li> <li>4.4 Coordinate Systems</li> <li>4.5 The Dimension of a Vector Space</li> <li>4.6 Change of Basis</li> <li>4.7 Digital Signal Processing</li> <li>4.8 Applications to Difference Equations</li> </ul> <ul> <li>Projects</li> <li>Supplementary Exercises</li> </ul> </li> <li>Eigenvalues and Eigenvectors <ul> <li>Introductory Example: Dynamical Systems and Spotted Owls</li> <li>5.1 Eigenvectors and Eigenvalues</li> <li>5.2 The Characteristic Equation</li> <li>5.3 Diagonalization</li> <li>5.4 Eigenvectors and Linear Transformations</li> <li>5.5 Complex Eigenvalues</li> <li>5.6 Discrete Dynamical Systems</li> <li>5.7 Applications to Differential Equations</li> <li>5.8 Iterative Estimates for Eigenvalues</li> <li>5.9 Markov Chains</li> </ul> <ul> <li>Projects</li> <li>Supplementary Exercises</li> </ul> </li> <li>Orthogonality and Least Squares <ul> <li>Introductory Example: The North American Datum and GPS Navigation</li> <li>6.1 Inner Product, Length, and Orthogonality</li> <li>6.2 Orthogonal Sets</li> <li>6.3 Orthogonal Projections</li> <li>6.4 The Gram--Schmidt Process</li> <li>6.5 Least-Squares Problems</li> <li>6.6 Machine Learning and Linear Models</li> <li>6.7 Inner Product Spaces</li> <li>6.8 Applications of Inner Product Spaces</li> </ul> <ul> <li>Projects</li> <li>Supplementary Exercises</li> </ul> </li> <li>Symmetric Matrices and Quadratic Forms <ul> <li>Introductory Example: Multichannel Image Processing</li> <li>7.1 Diagonalization of Symmetric Matrices</li> <li>7.2 Quadratic Forms</li> <li>7.3 Constrained Optimization</li> <li>7.4 The Singular Value Decomposition</li> <li>7.5 Applications to Image Processing and Statistics</li> </ul> <ul> <li>Projects</li> <li>Supplementary Exercises</li> </ul> </li> <li>The Geometry of Vector Spaces <ul> <li>Introductory Example: The Platonic Solids</li> <li>8.1 Affine Combinations</li> <li>8.2 Affine Independence</li> <li>8.3 Convex Combinations</li> <li>8.4 Hyperplanes</li> <li>8.5 Polytopes</li> <li>8.6 Curves and Surfaces</li> </ul> <ul> <li>Projects</li> <li>Supplementary Exercises</li> </ul> </li> <li>Optimization <ul> <li>Introductory Example: The Berlin Airlift</li> <li>9.1 Matrix Games</li> <li>9.2 Linear Programming-Geometric Method</li> <li>9.3 Linear Programming-Simplex Method</li> <li>9.4 Duality</li> </ul> <ul> <li>Projects</li> <li>Supplementary Exercises</li> </ul> </li> <li>Finite-State Markov Chains (Online Only) <ul> <li>Introductory Example: Googling Markov Chains</li> <li>10.1 Introduction and Examples</li> <li>10.2 The Steady-State Vector and Google''s PageRank</li> <li>10.3 Communication Classes</li> <li>10.4 Classification of States and Periodicity</li> <li>10.5 The Fundamental Matrix</li> <li>10.6 Markov Chains and Baseball Statistics</li> </ul> </li> <li style="list-style: none; display: inline"> <h3>Appendices</h3> </li> <li>Uniqueness of the Reduced Echelon Form</li> <li>Complex Numbers</li> </ul> </div>

Fosters the concepts and skills needed for future careers. Linear Algebra and Its Applications fosters the concepts and skills you'll use in your future career through a modern introduction with broad, relevant applications. Authors Lay, Lay, and McDonald make concepts accessible by introducing them early in a familiar, concrete Rn setting, developing them gradually, and returning to them throughout the text so you can grasp them when discussed in the abstract. For courses in Linear Algebra. Pearson eText is an easy-to-use digital textbook that you can purchase on your own or instructors can assign for their course. The mobile app lets you keep on learning, no matter where your day takes you -- even offline. You can also add highlights, bookmarks, and notes in your Pearson eText to study how you like. NOTE: This ISBN is for the Pearson eText access card. Pearson eText is a fully digital delivery of Pearson content. Before purchasing, check that you have the correct ISBN. To register for and use Pearson eText, you may also need a course invite link, which your instructor will provide. Follow the instructions provided on the access card to learn more.

Linear Algebra and Its Applications -- MyLab Math with Pearson eText + Print Combo Access Code

For courses in undergraduate Analysis and Transition to Advanced Mathematics. Analysis with an Introduction to Proof, Fifth Edition helps fill in the groundwork students need to succeed in real analysis—often considered the most difficult course in the undergraduate curriculum. By introducing logic and emphasizing the structure and nature of the arguments used, this text helps students move carefully from computationally oriented courses to abstract mathematics with its emphasis on proofs. Clear expositions and examples, helpful practice problems, numerous drawings, and selected hints/answers make this text readable, student-oriented, and teacher- friendly.

Analysis With An Introduction to Proof, 5th Edition

This edition features the exact same content as the traditional text in a convenient, three-hole- punched, loose-leaf version. Books a la Carte also offer a great value—this format costs significantly less than a new textbook. For courses in undergraduate Analysis and Transition to Advanced Mathematics. Analysis with an Introduction to Proof, Fifth Edition helps fill in the groundwork students need to succeed in real analysis—often considered the most difficult course in the undergraduate curriculum. By introducing logic and emphasizing the structure and nature of the arguments used, this text helps students move carefully from computationally oriented courses to abstract mathematics with its emphasis on proofs. Clear expositions and examples, helpful practice problems, numerous drawings, and selected hints/answers make this text readable, student-oriented, and teacher- friendly.

Analysis with an Introduction to Proof (Books a la Carte)

See the best price to sell, buy, or rent books by Lay, Steven. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by Lay, Steven

See the best price to sell, buy, or rent books by Lay, Steven. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Linear Algebra and Its Applications plus New MyLab Math with Pearson eText -- Access Card Package (Featured Titles for Linear Algebra (Introductory))

Linear Algebra and Its Applications -- MyLab Math with Pearson eText Access Code

Study Guide for Linear Algebra and Its Applications

Linear Algebra and Its Applications -- MyLab Math with Pearson eText Access Code

Linear Algebra and Its Applications

Linear Algebra and Its Applications

Linear Algebra and Its Applications -- MyLab Math with Pearson eText + Print Combo Access Code

Linear Algebra and Its Applications -- MyLab Math with Pearson eText + Print Combo Access Code

Analysis With An Introduction to Proof, 5th Edition

Analysis with an Introduction to Proof (Books a la Carte)