Linear Algebra. Richard C. Penney
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Название: Linear Algebra

Автор: Richard C. Penney

Издательство: John Wiley & Sons Limited

Жанр: Математика

Серия:

isbn: 9781119656951

isbn:

СКАЧАТЬ make. This work is sold with the understanding that the publisher is not engaged in rendering professional services. The advice and strategies contained herein may not be suitable for your situation. You should consult with a specialist where appropriate. Further, readers should be aware that websites listed in this work may have changed or disappeared between when this work was written and when it is read. Neither the publisher nor authors shall be liable for any loss of profit or any other commercial damages, including but not limited to special, incidental, consequential, or other damages.

       Library of Congress Cataloging‐in‐Publication Data

      Names: Penney, Richard C., author.

      Title: Linear algebra : ideas and applications / Richard Cole Penney,

      Purdue University.

      Description: Fifth edition. | Hoboken : Wiley, 2021. | Includes index.

      Identifiers: LCCN 2020029281 (print) | LCCN 2020029282 (ebook) | ISBN

      9781119656920 (cloth) | ISBN 9781119656937 (adobe pdf) | ISBN

      9781119656951 (epub)

      Subjects: LCSH: Algebras, Linear–Textbooks.

      Classification: LCC QA184.2 .P46 2021 (print) | LCC QA184.2 (ebook) | DDC

      512/.5–dc23

      LC record available at https://lccn.loc.gov/2020029281

      LC ebook record available at https://lccn.loc.gov/2020029282

      Cover Design: Wiley

      Cover Image: © Flávio Tavares /Getty Images

      I wrote this book because I have a deep conviction that mathematics is about ideas, not just formulas and algorithms, and not just theorems and proofs. The text covers the material usually found in a one or two semester linear algebra class. It is written, however, from the point of view that knowing why is just as important as knowing how.

      To ensure that the readers see not only why a given fact is true but also why it is important, I have included a number of beautiful applications of linear algebra.

      Most of my students seem to like this emphasis. For many, mathematics has always been a body of facts to be blindly accepted and used. The notion that they personally can decide mathematical truth or falsehood comes as a revelation. Promoting this level of understanding is the goal of this text.

      RICHARD PENNEY

      West Lafayette, Indiana

      October 2020

      Parallel Structure Most linear algebra texts begin with a long, basically computational, unit devoted to solving systems of equations and to matrix algebra and determinants. Students find this fairly easy and even somewhat familiar. But, after a third or more of the class has gone by peacefully, the boom falls. Suddenly, the students are asked to absorb abstract concept after abstract concept, one following on the heels of the other. They see little relationship between these concepts and the first part of the course or, for that matter, anything else they have ever studied. By the time the abstractions can be related to the first part of the course, many students are so lost that they neither see nor appreciate the connection.

      This text is different. We have adopted a parallel mode of development in which the abstract concepts are introduced right from the beginning, along with the computational. Each abstraction is used to shed light on the computations. In this way, the students see the abstract part of the text as a natural outgrowth of the computational part. This is not the “mention it early but use it late” approach adopted by some texts. Once a concept such as linear independence or spanning is introduced, it becomes part of the vocabulary to be used frequently and repeatedly throughout the rest of the text.

      The advantages of this kind of approach are immense. The parallel development allows us to introduce the abstractions at a slower pace, giving students a whole semester to absorb what was formerly compressed into two‐thirds of a semester. Students have time to fully absorb each new concept before taking on another. Since the concepts are utilized as they are introduced, the students see why each concept is necessary. The relation between theory and application is clear and immediate.

      This approach has worked extremely well for us. When we used more traditional texts, we found ourselves spending endless amounts of time trying to explain what a vector space is. Students felt bewildered and confused, not seeing any point to what they were learning. With the gradual approach, on the other hand, the question of what a vector space is hardly arises. With this approach, the vector space concept seems to cause little difficulty for the students.

      Treatment of Proofs It is essential that students learn to read and produce proofs. Proofs serve both to validate the results and to explain why they are true. For many students, however, linear algebra is their first proof‐based course. They come to the subject with neither the ability to read proofs nor an appreciation for their importance.

      Many introductory linear algebra texts adopt a formal “definition–theorem–proof” format. In such a treatment, a student who has not yet developed the ability to read abstract mathematics can perceive both the statements of the theorems and their proofs (not to mention the definitions) as meaningless abstractions. They wind up reading only the examples in the hope of finding “patterns” that they can imitate to complete the assignments. In the end, such students wind up only mastering the computational techniques, since this is the only part of the course that has any meaning for them. In essence, we have taught them to be nothing more than slow, inaccurate computers.

      Our point of view is different. This text is meant to be read by the student — all of it! We always work from the concrete to the abstract, never the opposite. We also make full use of geometric reasoning, where appropriate. We try to explain “analytically, algebraically, and geometrically.” We use carefully chosen examples to motivate both the definitions and theorems. Often, the essence of the proof is already contained in the example. Despite this, we give complete and rigorous student readable proofs of most results.

      Conceptual Exercises Most texts at this level have exercises of two types: proofs and computations. We certainly do have a number of proofs and we definitely have lots of computations. The vast majority of the exercises are, however, “conceptual, but not theoretical.” That is, each exercise asks an explicit, concrete question which requires the student to think conceptually in order to provide an answer. Such questions are both more concrete and more manageable than proofs and thus are much better at demonstrating the concepts. They do not require that the student already have facility with abstractions. Rather, they act as a bridge between the abstract proofs and the explicit computations.