Solutions for Elementary Linear Algebra: Applications Version
Problem 1E:
In Exercises 12, verify that the following matrices and scalars satisfy the stated properties of...Problem 2E:
In Exercises 12, verify that the following matrices and scalars satisfy the stated properties of...Problem 3E:
In Exercises 34, verify that the matrices and scalars in Exercise 1 satisfy the stated properties....Problem 4E:
In Exercises 34, verify that the matrices and scalars in Exercise 1 satisfy the stated properties....Problem 10E:
Find the inverse of [cossinsincos]Problem 11E:
In Exercises 1114, verify that the equations are valid for the matrices in Exercises 58. (AT)1=(A1)T...Problem 12E:
In Exercises 1114, verify that the equations are valid for the matrices in Exercises 58. (A1)1=A 5....Problem 13E:
In Exercises 1114, verify that the equations are valid for the matrices in Exercises 58....Problem 14E:
In Exercises 1114, verify that the equations are valid for the matrices in Exercises 58....Problem 19E:
In Exercises 1920, compute the following using the given matrix A. a. A3 b. A3 c. A22A+I A=[3121]Problem 20E:
In Exercises 1920, compute the following using the given matrix A. a. A3 b. A3 c. A22A+I A=[2041]Problem 21E:
In Exercises 2122, compute p(A) for the given matrix A and the following polynomials. a. p(x)=x2 b....Problem 22E:
In Exercises 2122, compute p(A) for the given matrix A and the following polynomials. a. p(x)=x2 b....Problem 23E:
In Exercises 2324, let A=[abcd], B=[0100], C=[0010] Find all values of a, b, c, and d (if any) for...Problem 24E:
In Exercises 2324, let A=[abcd], B=[0100], C=[0010] Find all values of a, b, c, and d (if any) for...Problem 25E:
In Exercises 2528, use the method of Example 8 to find the unique solution of the given linear...Problem 26E:
In Exercises 2528, use the method of Example 8 to find the unique solution of the given linear...Problem 27E:
In Exercises 2528, use the method of Example 8 to find the unique solution of the given linear...Problem 28E:
In Exercises 2528, use the method of Example 8 to find the unique solution of the given linear...Problem 29E:
If a polynomial p(x) can be factored as a product of lower degree polynomials, say p(x)=p1(x)p2(x)...Problem 30E:
If a polynomial p(x) can be factored as a product of lower degree polynomials, say p(x)=p1(x)p2(x)...Problem 31E:
a. Give an example of two 2 2 matrices such that (A+B)(AB)A2B2 b. State a valid formula for...Problem 32E:
The numerical equation a2 = 1 has exactly two solutions. Find at least eight solutions of the matrix...Problem 33E:
a. Show that if a square matrix A satisfies the equation A2+2A+I=0, then A must be invertible. What...Problem 36E:
Can a matrix with two identical rows or two identical columns have an inverse? Explain.Problem 37E:
In Exercises 3738, determine whether A is invertible, and if so, find the inverse. [Hint: Solve AX =...Problem 38E:
In Exercises 3738, determine whether A is invertible, and if so, find the inverse. [Hint: Solve AX =...Problem 39E:
In Exercises 3940, simplify the expression assuming that A, B, C, and D are invertible....Problem 40E:
In Exercises 3940, simplify the expression assuming that A, B, C, and D are invertible....Problem 42E:
If A is a square matrix and n is a positive integer, is it true that (An)T=(AT)n? Justify your...Problem 43E:
a. Show that if A is invertible and AB = AC, then B = C. b. Explain why part (a) and Example 3 do...Problem 44E:
Show that if A is invertible and k is any nonzero scalar, then (kA)n = knAn for all integer values...Problem 45E:
a. Show that if A, B, and A + B are invertible matrices with the same size, then A(A1+B1)B(A+B)1=I...Problem 46E:
A square matrix A is said to be idempotent if A2 = A. a. Show that if A is idempotent, then so is I ...Problem 47E:
Show that if A is a square matrix such that Ak = 0 for some positive integer k, then the matrix I A...Problem 51E:
In Exercises 5158, prove the stated result. Theorem 1.4.1(a) Theorem 1.4.8 If the sizes of the...Problem 52E:
In Exercises 5158, prove the stated result. Theorem 1.4.1(b) Theorem 1.4.8 If the sizes of the...Problem 53E:
In Exercises 5158, prove the stated result. Theorem 1.4.1(f) Theorem 1.4.8 If the sizes of the...Problem 54E:
In Exercises 5158, prove the stated result. Theorem 1.4.1(c) Theorem 1.4.8 If the sizes of the...Problem 55E:
In Exercises 5158, prove the stated result. Theorem 1.4.2(c) Theorem 1.4.8 If the sizes of the...Problem 56E:
In Exercises 5158, prove the stated result. Theorem 1.4.2(b) Theorem 1.4.8 If the sizes of the...Problem 57E:
In Exercises 5158, prove the stated result. Theorem 1.4.8(d) Theorem 1.4.8 If the sizes of the...Problem 58E:
In Exercises 5158, prove the stated result. Theorem 1.4.8(e) Theorem 1.4.8 If the sizes of the...Problem 1TF:
In parts (a)(k) determine whether the statement is true or false, and justify your answer. a. Two n ...Problem 2TF:
In parts (a)(k) determine whether the statement is true or false, and justify your answer. b. For...Problem 3TF:
In parts (a)(k) determine whether the statement is true or false, and justify your answer. c. For...Problem 4TF:
In parts (a)(k) determine whether the statement is true or false, and justify your answer. d. If A...Problem 5TF:
In parts (a)(k) determine whether the statement is true or false, and justify your answer. e. If A...Problem 6TF:
In parts (a)(k) determine whether the statement is true or false, and justify your answer. f. The...Problem 7TF:
In parts (a)(k) determine whether the statement is true or false, and justify your answer. g. If A...Problem 8TF:
In parts (a)(k) determine whether the statement is true or false, and justify your answer. h. If A...Problem 9TF:
In parts (a)(k) determine whether the statement is true or false, and justify your answer. i. If...Problem 10TF:
In parts (a)(k) determine whether the statement is true or false, and justify your answer. j. A...Browse All Chapters of This Textbook
Chapter 1 - Systems Of Linear Equations And MatricesChapter 1.1 - Introduction To Systems Of Linear EquationsChapter 1.2 - Gaussian EliminationChapter 1.3 - Matrices And Matrix OperationsChapter 1.4 - Inverses; Algebraic Properties Of MatricesChapter 1.5 - Elementary Matrices And A Method For Finding A-1Chapter 1.6 - More On Linear Systems And Invertible MatricesChapter 1.7 - Diagonal, Triangular, And Symmetric MatricesChapter 1.8 - Introduction To Linear TransformationsChapter 1.9 - Compositions Of Matrix Transformations
Chapter 1.10 - Applications Of Linear SystemsChapter 1.11 - Leontief Input-output ModelsChapter 2 - DeterminantsChapter 2.1 - Determinants By Cofactor ExpansionChapter 2.2 - Evaluating Determinants By Row ReductionChapter 2.3 - Properties Of Determinants; Cramer’s RuleChapter 3.1 - Vectors In 2-space, 3-space, And N-spaceChapter 3.2 - Norm, Dot Product, And Distance In RnChapter 3.3 - OrthogonalityChapter 4.1 - Real Vector SpacesChapter 4.2 - SubspacesChapter 4.3 - Spanning SetsChapter 4.4 - Linear IndependenceChapter 4.5 - Coordinates And BasisChapter 4.6 - DimensionChapter 4.8 - Row Space, Column Space, And Null SpaceChapter 5.1 - Eigenvalues And EigenvectorsChapter 5.2 - DiagonalizationChapter 6.1 - Inner ProductsChapter 8.1 - General Linear TransformationsChapter 8.2 - Compositions And Inverse TransformationsChapter 8.4 - Matrices For General Linear Transformations
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