Verifying Eigenvalues and Eigenvectors in Exercises 1-6, verify that
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Elementary Linear Algebra (MindTap Course List)
- Verifying Eigenvalues and EigenvectorsIn Exercises 1-6, verify that i is an eigenvalues of A and that Xi is a corresponding eigenvector. A=[413021003], 1=4,X1=(1,0,0)2=2,X2=(1,2,0)3=3,X3=(2,1,1)arrow_forwardVerifying Eigenvalues and EigenvectorsIn Exercises 1-6, verify that i is an eigenvalues of A and that Xi is a corresponding eigenvector. A=[010001100], 1=1,X1=(1,1,1)arrow_forwardDetermining Eigenvectors In Exercise 9-12, determine whether X is an eigenvector of A. A=[7224] a X=(1,2) b X=(2,1) c X=(1,2) d X=(1,0)arrow_forward
- Determine a Sufficient Condition for Diagonalization In Exercises 23-26, find the eigenvalues of the matrix and determine there is a sufficient number of eigenvalues to guarantee that the matrix is diagonalizable by Theorem 7.6. [432011002]arrow_forwardIn Exercises 7-12, show that is an eigenvector of A and find one eigenvector corresponding to this eigenvalue. 11.arrow_forwardIn Exercises 31-34, find all of the eigenvalues of the matrix A over the indicated ℤp. 31. ℤ3arrow_forward
- Diagonalizable Matrices and Eigenvalues In Exercise 1-6, a verify that A is diagonalizable by finding P1AP, and b use the result of part a and Theorem 7.4 to find the eigenvalues of A. A=[110030425],P=[013040122]arrow_forwardConsider 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_forwardCAPSTONE Explain how to determine whether an nn matrix A is diagonalizable using a similar matrices, b eigenvectors, and c distinct eigenvalues.arrow_forward
- Find all values of the angle for which the matrix A=[cossinsincos] has real eigenvalues. Interpret your answer geometrically.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 The scalar is an eigenvalue of an nn matrix A when there exists a vector x such that Ax=x. b To find the eigenvalues of an nn matrix A. you can solve the characteristic equation det(IA)=0.arrow_forwardTrue or False? In Exercises 69 and 70, 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 An eigenvalue of a matrix A is a scalar such that det(IA)=0. b An eigenvector may be the zero vector 0. c A matrix A is orthogonally diagonalizable when there exists an orthogonal matrix P such that P1AP=D is diagonal.arrow_forward
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