Phys 2920, Spring 2009: Eigenvalues, Eigenvectors, and Diagonalizing Matrices, Assignments of Physics

Problem set 4 for the phys 2920, spring 2009 course. The problems involve finding eigenvalues and eigenvectors for various matrices, including the second pauli matrix σy and a given matrix a. Students are also asked to diagonalize matrix a and find a simple expression for eax for a given matrix σx. This problem set is essential for students studying linear algebra and matrix theory.

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Pre 2010

Uploaded on 07/30/2009

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Phys 2920, Spring 2009
Problem Set #4
1. Find the eigenvalues and eigenvectors of the second Pauli matrix σyfrom the last problem
set.
2. Find eigenvalues and eigenvectors for the matrices
Lx=¯h
2
0 1 0
1 0 1
0 1 0
Ly=¯h
2
0i0
i0i
0i0
3. Use Maple or something suitable to find the eigenvalues and eigenvectors of
A=
2.5 1.64.8
4.23.1 2.1
1.52.6 5.5
Take any one of the eigenvectors output by the program and by hand check that it is a
unit vector.
4. Let the matrix Abe given by
A= 57
2 3 !
Consider a scheme where the new basis vectors are
e0
1=e1+ 4e2e0
2= 3e1+ 10e2
Find the representation of Ain the new basis.
5. Find the similarity transformation which diagonalizes the matrix
A=
13 3
35 3
66 4
This problem is a bit different in that it has a repeated eigenvalue; but you can still find
three independent eigenvectors with which to construct S.
6. Find the eigenvalues and eigenvectors of the matrix
B=
3 1 1
7 5 1
6 6 2
Can Bbe diagonalized? (Can we construct a transformation matrix Sto make Bdiagonal?)
1
pf2

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Phys 2920, Spring 2009 Problem Set #

  1. Find the eigenvalues and eigenvectors of the second Pauli matrix σy from the last problem set.
  2. Find eigenvalues and eigenvectors for the matrices

Lx = √¯h 2

 

  Ly = √h¯ 2

 

0 −i 0 i 0 −i 0 i 0

 

  1. Use Maple or something suitable to find the eigenvalues and eigenvectors of

A =

 

 

Take any one of the eigenvectors output by the program and by hand check that it is a unit vector.

  1. Let the matrix A be given by

A =

( 5 − 7 2 3

)

Consider a scheme where the new basis vectors are

e′ 1 = e 1 + 4e 2 e′ 2 = 3e 1 + 10e 2

Find the representation of A in the new basis.

  1. Find the similarity transformation which diagonalizes the matrix

A =

 

 

This problem is a bit different in that it has a repeated eigenvalue; but you can still find three independent eigenvectors with which to construct S.

  1. Find the eigenvalues and eigenvectors of the matrix

B =

 

 

Can B be diagonalized? (Can we construct a transformation matrix S to make B diagonal?)

  1. Recall the definition for the exponential of a matrix :

eA^ =

∑^ ∞ n=

An n!

With this definition, find a simple expression for

eAx^ for A =

( 0 1 1 0

)

(This is the matrix σx from a previous problem set.) (Here, x is a number which multiplies the matrix A, and A^0 = 1 .) You will need to spot a simple pattern in the powers of Ax and you will need to review the Taylor series for basic functions.