Consider the linear transformation T: R4 → R4, given by T(x,y,z,w) = (2x+z,−y+z,−5z,3w), with its matrix A on the canonical basis of R4.   Choose an option: (a) The vector v1 = (1,0,0,0) satisfies A(v1) = 2v1, so it is an eigenvector associated with the eigenvalue λ1 = 2. Beyond that, there are vectors v2,v3,v4 with A(v2)= −v2, A(v3) = −5v3 and A(v4) = −4v4. (b) The vector v1 = (1,0,0,0) satisfies A(v1) = 3v1, so it is an eigenvector associated with the eigenvalue λ1 = 3. Beyond that, there are vectors v2,v3,v4 with A(v2) = v2, A(v3) = −5v3 and A(v4) = −4v4. (c) The vector v1 = (1,0,0,0) satisfies A(v1) = −2v1, so it is an eigenvector associated with the eigenvalue λ1 = −2. Beyond that, there are vectors v2,v3,v4 with A(v2) = v2, A(v3) = 5v3 and A(v4) = −4v4. (d) The vector v1 = (1,0,0,0) satisfies A(v1) = 2v1, so it is an eigenvector associated with the eigenvalue λ1 = 2. Beyond that, there are vectors v2,v3,v4 with A(v2) = −v2, A(v3) = −5v3 and A(v4) = −4v4. (e) The vector v1 = (1,0,0,0) satisfies A(v1) = 3v1, so it is an eigenvector associated with the eigenvalue λ1 = 3. Beyond that, there are vectors v2,v3,v4 with A(v2) = −2v2, A(v3) = −5v3 and A(v4) = −4v4.

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
icon
Related questions
Question

Consider the linear transformation T: R4 → R4, given by T(x,y,z,w) = (2x+z,−y+z,−5z,3w), with its matrix A on the canonical basis of R4.

 

Choose an option:

(a) The vector v1 = (1,0,0,0) satisfies A(v1) = 2v1, so it is an eigenvector associated with the eigenvalue λ1 = 2. Beyond that, there are vectors v2,v3,v4 with A(v2)= −v2, A(v3) = −5v3 and A(v4) = −4v4.

(b) The vector v1 = (1,0,0,0) satisfies A(v1) = 3v1, so it is an eigenvector associated with the eigenvalue λ1 = 3. Beyond that, there are vectors v2,v3,v4 with A(v2) = v2, A(v3) = −5v3 and A(v4) = −4v4.

(c) The vector v1 = (1,0,0,0) satisfies A(v1) = −2v1, so it is an eigenvector associated with the eigenvalue λ1 = −2. Beyond that, there are vectors v2,v3,v4 with A(v2) = v2, A(v3) = 5v3 and A(v4) = −4v4.

(d) The vector v1 = (1,0,0,0) satisfies A(v1) = 2v1, so it is an eigenvector associated with the eigenvalue λ1 = 2. Beyond that, there are vectors v2,v3,v4 with A(v2) = −v2, A(v3) = −5v3 and A(v4) = −4v4.

(e) The vector v1 = (1,0,0,0) satisfies A(v1) = 3v1, so it is an eigenvector associated with the eigenvalue λ1 = 3. Beyond that, there are vectors v2,v3,v4 with A(v2) = −2v2, A(v3) = −5v3 and A(v4) = −4v4.

2
1
-1
1
A =
-5
0 0
3
Transcribed Image Text:2 1 -1 1 A = -5 0 0 3
Expert Solution
steps

Step by step

Solved in 2 steps with 3 images

Blurred answer
Similar questions
Recommended textbooks for you
Advanced Engineering Mathematics
Advanced Engineering Mathematics
Advanced Math
ISBN:
9780470458365
Author:
Erwin Kreyszig
Publisher:
Wiley, John & Sons, Incorporated
Numerical Methods for Engineers
Numerical Methods for Engineers
Advanced Math
ISBN:
9780073397924
Author:
Steven C. Chapra Dr., Raymond P. Canale
Publisher:
McGraw-Hill Education
Introductory Mathematics for Engineering Applicat…
Introductory Mathematics for Engineering Applicat…
Advanced Math
ISBN:
9781118141809
Author:
Nathan Klingbeil
Publisher:
WILEY
Mathematics For Machine Technology
Mathematics For Machine Technology
Advanced Math
ISBN:
9781337798310
Author:
Peterson, John.
Publisher:
Cengage Learning,
Basic Technical Mathematics
Basic Technical Mathematics
Advanced Math
ISBN:
9780134437705
Author:
Washington
Publisher:
PEARSON
Topology
Topology
Advanced Math
ISBN:
9780134689517
Author:
Munkres, James R.
Publisher:
Pearson,