best linear algebra book

The two theorems are very simple, obviously, and seem to be the basic arithmetic in proving matrix algebra. But it lays a theoretical foundation for understanding Matrix-vector Product ax with "linear transformation".Combining the properties of the matrix and vector product AX we discussed before, we can introduce a linear transformation.Because the properties of

and matrix are just a language or stenographer, most of its vivid concepts can provide a key to the new field of thought. However, it has been proved that these two concepts are highly useful tools in mathematics and physics. Linear Algebra and matrix theory are introduced and developed along with the study of Linear System Equations and coefficients. The conce

Algebra (2nd), Blue to Medium, 2007The overall comparison is concise and clear, the order has its own characteristics, to apply as a point of entry, increased the intuitive impression, the book also has a large length of the expansion of content.[5] Advanced Algebra (5th), Schouten, 2007Very simple introductory textbook, suitable for almost 0 basic people to rea

, the linear equations (1) can use the following matrix (2) . In fact, with (2), the linear equations except words that represent unknown numbers (1) are determined, and the words used to represent unknown numbers are of course not substantive. I learned how to use addition and subtraction elimination methods and substitution elimination methods to solve binary and ternary

Review... Copy linear algebra and Its Application Linear Equations 1. Similar X_1-2x_2 =-1 -X_1 + 3x_2 = 3 There are three situations 1. No solution 2. There is a unique solution 3. There is an infinite Solution Consider two parallel lines, the intersection line, and the exact coincidence line. Solving Equations Primary Line Transformation (Multipl

we are faced with the question of how do we determine the linear correlation for a given m-vector r^n?There is a definition of what kind of algorithm, through the beginning of our definition of linear correlation, we can find that we only need to discuss the vector equation x1v1 + x2v2 + x3v3 +...+XMVM = 0 solution can, this goes back to our previous section introduced the use of the Jingzhen matrix to sol

-homogeneous equations of the solution set X = p + SV is the special solution of the equation, that is, the following theorem is establishedInteresting thing, for the solution is r^2 or r^3 situation, we can add the base vector to describe the relationship between the two sets of solutions geometrically, that is, the non-homogeneous equation of the group of the arbitrary solution can be regarded as its special solution vector p along the corresponding homogeneous equation of arbitrary solution v

Label: linear algebra equations Previous Article Describes the solution of AX = 0 and the zero space of matrix, Here we will discuss the solution of Ax = B and the column space of matrix. Ax = 0 is certainly a solution, because the total existence of X is the whole zero vector, making the equations true. While Ax = B does not necessarily have solutions. We need Gaussian elimination elements to determine

Linear transformations:As we mentioned earlier, when we discuss the matrix equation ax = b and the vector equation X1a1+x2a2+x3a3+...+xnan = b, we have said that this will echo the rules of matrix multiplication. But here we first introduce a concept of transition-the linear transformation.To investigate the matrix equation ax = B,a is the n x m matrix, X is the r^n vector, by the rule we defined earlier, B

Reference: "Linear algebra" Tongji University, fourth edition 1. Elementary transformations of matrices 1) definition 2) equivalence relationship between matrices: definition, Nature (3) 3) row ladder-shaped matrix; the simplest form; standard type; equivalence class 2. Elementary matrices 1) definition 2) Theorem 1 (Relationship between elementary transformation and elementary matrix) 3) theorem 2

Document directory Exercise: (use MATLAB whenever possible) Exercise: I started learning linear algebra for the exam today. Although I have learned it before, I have forgotten it in my family.Chapter 1 matrix and equations 1.1 Linear Equations The content of this section is very simple, that is, a brief introduction of things to be learned. Definition: If t

, R=m because all rows have a main element, after the elimination of a total of 0 rows, the ax=b has an infinite number of solutions.and the number of free variables is n-r, and the 0 space of matrix A is not only 0 vectors.Like what:watermark/2/text/ahr0cdovl2jsb2cuy3nkbi5uzxqvdgvuz3dlaxr3/font/5a6l5l2t/fontsize/400/fill/i0jbqkfcma==/ Dissolve/70/gravity/center ">3, R=m=n. That is, columns, rows are full rank (matrix reversible)Because the columns and rows are full rank, there are some properti