Diagonalizing a Matrix In Exercise 7-14, find (if possible) a nonsingular matrix P such that
(See Exercise 15, section 7.1.)
Characteristic Equation, Eigenvalues, and Eigenvectors in Exercise 15-28, find (a) the characteristics equation and (b) the eigenvalues (and corresponding eigenvectors) of the matrix.
Want to see the full answer?
Check out a sample textbook solutionChapter 7 Solutions
Elementary Linear Algebra
- CAPSTONE Explain how to determine whether an nn matrix A is diagonalizable using a similar matrices, b eigenvectors, and c distinct eigenvalues.arrow_forwardDiagonalizing a Matrix In Exercise 7-14, find if possible a nonsingular matrix P such that P1AP is diagonal. Verify that P1AP is a diagonal matrix with the eigenvalues on the main diagonal A=[122252663] See Exercise 23, section 7.1. Characteristic Equation, Eigenvalues, and EigenvectorsIn Exercise 15-28, find a the characteristics equation and b the eigenvalues and corresponding eigenvectors of the matrix. [122252663]arrow_forwardTrue or False? In Exercises 67 and 68, determine whether each statement is true or false. If a statement is true, give a reason or cite an appropriate statement from the text. If a statement is false, provide an example that shows the statement is not true in all cases or cite an appropriate statement from the text. a Geometrically, if is an eigenvalue of a matrix A and x is an eigenvector of A corresponding to , then multiplying x by A produce a vector x parallel to x. b If A is nn matrix with an eigenvalue , then the set of all eigenvectors of is a subspace of Rn.arrow_forward
- Show That a Matrix Is Not Diagonalizable In Exercise 15-22, show that the matrix is not diagonalizable. [0050]arrow_forwardIn Exercises 19-22, find the eigenvalues and the corresponding eigenvectors of the matrix. [7223]arrow_forwardDiagonalizing a Matrix In Exercise 7-14, find if possible a nonsingular matrix P such that P1AP is diagonal. Verify that P1AP is a diagonal matrix with the eigenvalues on the main diagonal A=[100121102]arrow_forward
- True or False? In Exercises 37 and 38, determine whether each statement is true or false. If a statement is true, give a reason or cite an appropriate statement from the text. If a statement is false, provide an example that shows the statement is not true in all cases or cite an appropriate statement from the text. a If A is a diagonalizable matrix, then it has n linearly independent eigenvectors. b If an nn matrix A is diagonalizable, then it must have n distinct eigenvalues.arrow_forwardTrue or false? det(A) is defined only for a square matrix A.arrow_forwardUse the Gram-Schmidt orthonormalization process to find an orthogonal matrix P such that PTAP diagonalizes the symmetric matrix A=[022202220].arrow_forward
- Consider again the matrix A in Exercise 35. Give conditions on a, b, c, and d such that A has two distinct real eigenvalues, one real eigenvalue, and no real eigenvalues.arrow_forwardTrue or False? In Exercises 37 and 38, determine whether each statement is true or false. If a statement is true, give a reason or cite an appropriate statement from the text. If a statement is false, provide an example that shows the statement is not true in all cases or cite an appropriate statement from the text. a If A and B are similar nn matrix, then they have always the same characteristics polynomial equation. b The fact that an nn matrix A has n distinct eigenvalues does not guarantee that A is diagonalizable.arrow_forwardProof Prove that if A is an nn matrix, then A-AT is skew-symmetric.arrow_forward
- Elementary Linear Algebra (MindTap Course List)AlgebraISBN:9781305658004Author:Ron LarsonPublisher:Cengage LearningAlgebra & Trigonometry with Analytic GeometryAlgebraISBN:9781133382119Author:SwokowskiPublisher:CengageLinear Algebra: A Modern IntroductionAlgebraISBN:9781285463247Author:David PoolePublisher:Cengage Learning
- College AlgebraAlgebraISBN:9781305115545Author:James Stewart, Lothar Redlin, Saleem WatsonPublisher:Cengage Learning