This preview shows pages 1–2. Sign up to view the full content.
This preview has intentionally blurred sections. Sign up to view the full version.
View Full Document
Unformatted text preview: Notice also that we have assumed t0 and t1 in order to carry out the row operations. This leads to the cases below. so the rank of this matrix is 3. so the rank of this matix is 1. Summarizing, 4) Let and be two different bases for . a. Find and . and b. Let and calculate and 5) Find the eigenvalues for . . The eigenvelues are = 3 and = 4. 6) Let u and v be eigenvectors of the matrix A corresponding to eigenvalues 1 and 2 . Prove that 1 2 implies u and v are linearly independent. Assume that u and v are linearly dependent. It follows that u = k v (1) for some nonzero scalar k. Since u and v are eigenvectors we have (2) and (3). Combining (1) and (2) we have And It follows that or . Factoring we have Since k0 and v0, it follows that 1 = 2 . But the problem states that 1 2 it follows that u and v are linearly independent....
View Full
Document
 Spring '11
 Burns

Click to edit the document details