1.4 Existence and Uniqueness of Solutions.1.3 Elementary Row Operations and Gaussian Elimination.1.2 Using Matrices To Solve Systems of Linear Equations.It is not completely devoid of theory, and enters the world of proof gently. ![]() It teaches matrix algebra with minimal theory and emphasis on computation. Overall, the book does what it sets out to do. The examples could be more multicultural, but they are generally culturally agnostic. It is not necessarily offensive, but it adds nothing to the text. There is a comment in a footnote about girl and boy names, commenting that a boy has a girl name. There are a few minor typos, none that distract from the text (for example, "recieve" instead of "receive"). The book is a PDF with bookmarks for chapters and sections. While there seems to be no good way to handle this, and this book takes the standard (traditional) approach, switching this way can be confusing for students. ![]() Each section is appropriate, but begs the next section.Ī common problem with texts in linear algebra, which this book faces, is whether to consider vectors or matrices, or both. This does not pose a problem as long as full chapters are used. This could cause problems if some sections are skipped, as students are primed for the next section. Most sections, though, end with "guiding questions" for the next section (for example, the section on matrix multiplication ends with questions that infer the matrix inverse will exist, which is explained in the next section). In general, theorems are presented without proof, although in a few sections attempts are proofs are given (perhaps even formal proofs without using that language).Ĭhapters seem to be rather modular, even if sequential. Notation, vocabulary, and such seems consistent throughout. The emphasis is on the geometry, without reinforcing the algebraic ideas from the matrix operations sections and then it switches to focusing on the algebra and ignoring the geometry (until a later chapter). However, there is not a "clean" way to do this. Discussion of on aspect almost requires discussion of the other aspect. This is the difficulty of the nature of vectors in linear algebra. Vector operations are discussed in the chapter on matrix operations. While it is not the standard way to multiply matrices, situations arise in which it is the required way. The author also claims that component-wise matrix multiplication is wrong. However, treating vectors as matrices and there is a standard matrix multiplication for matrices, it would make sense. Because there are multiple ways to multiply vectors, the lack of a sign is ambiguous. In the same section, the author multiplies vectors by concatenation (xy means x times y). In essence, the author defines the dot product without using that notation. This leads to questionable notation when introducing matrix multiplication. The author is trying to avoid the theoretical aspects of a traditional linear algebra course. The section on matrix multiplication is a little clunky. ![]() The lack of detail in showing the steps in later sections saves space in the text, but can cause confusion for students. I have found this topic can take some students weeks, even months to master. ![]() After one section, the author assumes the reader is an expert on the topic. There is a quick rush through Reduced Row Echelon Form. At points the author makes effort to say that the ideas in this book are useful in real life, but the examples are artificial. The examples are benign enough not to become outdated. Linear algebra and matrix algebra doesn't really go out of date. I did not check solutions to all the examples and problems, but the ones I did check were correct. This might need supplemented with non-square examples for students to refer to when attempting the homework.Ĭontent-wise, the book seems to be error free. The section on matrix multiplication has heavy emphasis on square matrices in the examples though the homework uses non-square matrices. Keeping in mind that this book focuses on computation rather than theory, it covers the main computational aspects of matrix algebra. Avoiding theory but using the term "theorem" might require some discussion in class that is avoided in the textbook. It avoids much of the theory associated with linear algebra although, the author does touch on theorems as necessary. The author makes clear in the foreword that this text is not a linear algebra text. Reviewed by Tim Brauch, Associate Professor, Manchester University on 6/15/19
0 Comments
Leave a Reply. |