Let V be a vector space over F. Let T E L(V). Suppose P E L(V) isinvertible.(a) Prove that T and P 'TP have the same eigenvalues. (Hint:TPP 1=TI= T.)(b) What is the relationship between the eigenvectors of T and theeigenvectos of P 1TP?

Given V be a vector space over F, and T be linear transformation, P be an invertible transformation.

Answered: Let V be a vector space over IF. Let T…

Advanced Engineering Mathematics

10th Edition

ISBN:9780470458365

Author:Erwin Kreyszig

Publisher:Erwin Kreyszig

Chapter2: Second-order Linear Odes

Section: Chapter Questions

Problem 1RQ

See similar textbooks

Similar questions

Consider the vectors in C2 (sometimes called spinors) :(cos(0/2)e-ie/2 sin(8/2)et*/2 sin(8/2)e-i$/2 ) . V2 - cos(8/2)e*#/2 (i) First show that they are normalized and orthonormal. (ii) Assume that for the vector vị is an eigenvector with the corresponding eigenvalue +1 and that the vector v2 is an eigenvector with the corresponding eigenvalue -1. Apply the spectral theorem to find the corresponding 2 x 2 matrix. (iii) Since the vectors vị and v2 form an orthonormal basis in C? we can form an orthonormal basis in C4 via the Kronecker product W11 = V1 ® V1, W12 = V1 ® v2, W21 = V2 ® V1, W22 = V2 ® V2. Assume that the eigenvalue for w11 is +1, for w12 –1, for w21 -1 and for w22 +1. Apply the spectral theorem to find the corresponding 4 x 4 matrix.
Just part (c) please!
is an eigen-ket of the Hamiltonian and E is its eigen-value, the bra-vector of the 5. If quantum object can be written as E v) =exp-i- A. E v) =cxp| В. 2E v) =exp| C. exp D. E. None of the above Note: r is the space coordinate and t is the time.
5. Let T: R2 → R2 be defined by T = and matrix A -x y ( []) = [- ² + 1] - [TB where B is the standard basis for R2 = i) Find the eigenvalues of A ii) Find the corresponding eigenvectors F [2 2 [² √3 = [21] = V. B
2. (1) Compute all eigenvalues and eigenvectors of the Cartan matrix 2 -1 C = -1 2 -1 -1 2 (2) Diagonalize C (i.e. find Q such that Q-'CQ is diagonal). (3) Is C positive definite?
Let 2. 1 -1 D= 0 3 -1 0 0 2 a. Find the eigenvector(s) associated with the eigenvalue X = 2 1 b. Is the vector an eigenvector of D? Why or why not? 3 c. Based on your work so far do you know if D is diagonalizable? Why or why not.
6. Let A be an n x n hermitian matrix, i.e. A = A*. Assume that all n eigenvalues are different. Then the normalized eigenvectors { v; : j = 1,...,n} form an orthonormal basis in C". Consider B:= (Ax – ux, Ax – vx) = (Ax – ux)*(Ax – vx) | where (, ) denotes the scalar product in C" and µ,v are real constants with µ 0.
7. Let A be an n x n Hermitian matrix. (a) Show that (Au, v) = (u, Av) for any n-dim vectors u and v. Here (, ·) denotes the inner product. (Hint: rewrite the inner product as matrix multiplication.) (b) Let x be an eigenvector associated to the eigenvalue A. Based on part (a), show that A(x, x) = X(x, x). (c) As in part (b), show that = X; that is, the eigenvalue A is real. 1
In each case, determine whether the vector v is an eigenvector of the 3 by 3 matrix A. No A = No A = No A = 9 -5 18 -8 6 -18 -4 5 -13 -7 -2 3 17 2 -13 -12 -2 8 -1 -4 -8 10 3 -2 -5 -4 -4 1. V = 2. " 3. υ: || 3 7 1 -1 1 -1 7 B 4 1

Recommended textbooks for you

Advanced Engineering Mathematics

Advanced Math

ISBN:

9780470458365

Author:

Erwin Kreyszig

Publisher:

Wiley, John & Sons, Incorporated

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…

Advanced Math

ISBN:

9781118141809

Author:

Nathan Klingbeil

Publisher:

WILEY

Advanced Engineering Mathematics

Advanced Math

ISBN:

9780470458365

Author:

Erwin Kreyszig

Publisher:

Wiley, John & Sons, Incorporated

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…

Advanced Math

ISBN:

9781118141809

Author:

Nathan Klingbeil

Publisher:

WILEY

Mathematics For Machine Technology

Advanced Math

ISBN:

9781337798310

Author:

Peterson, John.

Publisher:

Cengage Learning,

Basic Technical Mathematics

Advanced Math

ISBN:

9780134437705

Author:

Washington

Publisher:

PEARSON

Topology

Advanced Math

ISBN:

9780134689517

Author:

Munkres, James R.

Publisher:

Pearson,

SEE MORE TEXTBOOKS

Let V be a vector space over IF. Let T E L(V). Suppose P E L(V) is invertible. (a) Prove that T and P 'TP have the same eigenvalues. (Hint: TPP ' = TI = T.) (b) What is the relationship between the eigenvectors of T and the eigenvectos of P!TP?