Let T: RR denote the linear transformation defined by T(E)= proj,, and let S: RR denote the linear transformation defined by S(*) = 7 proj, Questions about T The standard matrix Ay of T has eigenvalues and (ordered from smallest to largest). The eigenvaluehasbasic eigenvector(s), and the eigenvalue has basic eigenvector(s). The standard matrix Ardiagonalizable. Questions about S The standard matrix As of S has eigenvalues and (ordered from smallest to largest). The eigenvalue has basic eigenvector(s), and the eigenvalueha has basic eigenvector(s). The standard matrix As[ diagonalizable. Questions about So T The only eigenvalue of As.r of S is it has basic eigenvector(s) The standard matrix Asrdiagonalizable

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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Let T: R³ R³ denote the linear transformation defined by T() = proj, and let S: R³ R³ denote the linear transformation defined by
→
S(*) = 7 proj
The standard matrix Ar of T has eigenvalues and (ordered from smallest to largest).
The eigenvalue
Questions about T
has basic eigenvector(s), and the eigenvalue has basic eigenvector(s).
The standard matrix Ardiagonalizable.
has
Questions about S
The standard matrix As of S has eigenvalues and (ordered from smallest to largest).
The eigenvaluer
basic eigenvector(s), and the eigenvalue has basic eigenvector(s)
The standard matrix As diagonalizable.
Questions about So T
The only eigenvalue of As-r of Sis
It has
basic eigenvector(s)
The standard matrix As diagonalizable.
Transcribed Image Text:Let T: R³ R³ denote the linear transformation defined by T() = proj, and let S: R³ R³ denote the linear transformation defined by → S(*) = 7 proj The standard matrix Ar of T has eigenvalues and (ordered from smallest to largest). The eigenvalue Questions about T has basic eigenvector(s), and the eigenvalue has basic eigenvector(s). The standard matrix Ardiagonalizable. has Questions about S The standard matrix As of S has eigenvalues and (ordered from smallest to largest). The eigenvaluer basic eigenvector(s), and the eigenvalue has basic eigenvector(s) The standard matrix As diagonalizable. Questions about So T The only eigenvalue of As-r of Sis It has basic eigenvector(s) The standard matrix As diagonalizable.
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