Verifying Eigenvalues and EigenvectorsIn Exercises 1-6, verify that
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Elementary Linear Algebra
- 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_forwardVerifying Eigenvalues and Eigenvectors in Exercises 1-6, verify that iis an eigenvalue of A and that xiis a corresponding eigenvector. A=[2002], 1=2,x1=(1,0)2=2,x2=(0,1)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_forwardDefine T:P2P2 by T(a0+a1x+a2x2)=(2a0+a1a2)+(a1+2a2)xa2x2. Find the eigenvalues and the eigenvectors of T relative to the standard basis {1,x,x2}.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
- Find all values of the angle for which the matrix A=[cossinsincos] has real eigenvalues. Interpret your answer geometrically.arrow_forwardFor what values of a does the matrix A=[01a1] have the characteristics below? a A has eigenvalue of multiplicity 2. b A has 1 and 2 as eigenvalues. c A has 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
- In Exercises 7-12, show that is an eigenvector of A and find one eigenvector corresponding to this eigenvalue. 11.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_forward
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