Determinant of this special matrix

In summary: I would try this:Find the eigenvalues and eigenvectors of the following matrix:H = ( E, a, a; a, E, a; a, a, E ).The eigenvalues of this matrix are E+2a and E-a. The eigenvectors of this matrix are the following: [1. 1,1]', [1 -1 0]' and [0 1 -1]'.
  • #1
ian2012
80
0
Hope someone can help me out here.. I've found the eigenvalues (lamda) of this matrix, but through a very very long way, does anyone know of a quicker way (there must be a quicker way). The matrix is 3x3:

H = ( E, a, a; a, E, a; a, a, E ).

I can reduce the determinant to the following, but still troublesome:

det(H) = | E - lamda, a, a; a, E - lamda, a; a, a, E - lamda |

det(H) = | E - lamda - a, a - E + lamda, 0; 0, E - lamda - a, a - E + lamda; a, a, E - lamda |
 
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  • #2
For what its worth, Mathematica gives E-a and 2a+E as a double and single eigenvalue of H, respectively. But using Mathematica is probably not what you meant by "a quicker way".

Does following through on the calculation you indicated in your post give you any problems?
 
  • #3
Yeah, i know the solutions , thanks... Well i end up with (E - lamda - a)(E - lamda) + a(E - lamda - a) - a = 0 as the equation of the determinant. I am a bit rusty on my high school algebra, is there a way to factorise that? (You could multiply it all out and spend a lifetime dividing it by a trial solution)
 
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  • #4
Okay, i may have canceled abit too early, the factorization I am looking for is of:
(E - lamda - a)^2(E- lamda + a) = a(E - lamda - a)
 
  • #5
The eigenvalue problem is equivalent to:
[tex]
E \, x_{n} + a \, \sum_{m \ne n}{x_{m}} = \lambda \, x_{n}
[/tex]

If you introduce:
[tex]
S = \sum_{m}{x_{m}}
[/tex]

you can rewrite the equations as:
[tex]
(E - a - \lambda) \, x_{n} + a \, S = 0
[/tex]

[tex]
x_{n} = \frac{a \, S}{\lambda + a - E}
[/tex]
If [itex]S = 0[/itex], then, in order that we have at least one non-zero [itex]x_{n}[/itex], we must have:

[tex]
\lambda + a - E = 0
[/tex]

or

[tex]
\lambda = E - a
[/tex]

If, on the other hand [itex]S \ne 0[/itex], we have unique solutions for [itex]x_{n}[/itex]. Substituting these back into the definition for [itex]S[/itex] and canceling, we get:

[tex]
S = \sum_{n}{\frac{a \, S}{\lambda + a - E}} = \frac{N \, a\, S}{\lambda + a - E}
[/tex]

[tex]
1 = \frac{a \, N}{\lambda + a - E}
[/tex]

[tex]
\lambda = E + (N - 1) \, a
[/tex]

BTW, this problem is similar to the Cooper pairing problem in superconductivity.
 
  • #6
Following are the eigenvectors by inspection: [1. 1,1]', [1 -1 0]' and [0 1 -1]'. These are linearly independent with the corresponding eigenvalues E+2a, E-a and E-a.
 
  • #7
@Dickfore:
That's a nice way of approaching the problem.
 

FAQ: Determinant of this special matrix

What is a special matrix?

A special matrix is a square matrix that has unique properties or characteristics that distinguish it from other matrices. Examples of special matrices include identity matrices, diagonal matrices, and symmetric matrices.

What is the determinant of a matrix?

The determinant of a matrix is a scalar value that represents the scaling factor of the matrix. It is calculated by performing a specific mathematical operation on the elements of the matrix and is used to determine properties such as invertibility and volume of transformations.

What makes the determinant of a special matrix unique?

The determinant of a special matrix is unique because it has specific properties that make it easier to calculate and analyze. For example, the determinant of an identity matrix is always 1, and the determinant of a diagonal matrix can be easily calculated by multiplying the diagonal elements.

How is the determinant of a special matrix calculated?

The method for calculating the determinant of a special matrix varies depending on the type of matrix. For example, the determinant of an upper triangular matrix can be calculated by multiplying the diagonal elements, while the determinant of a symmetric matrix can be calculated using a specific formula.

How is the determinant of a special matrix used in applications?

The determinant of a special matrix is used in various applications in mathematics, engineering, and science. It can be used to solve systems of linear equations, determine the volume of transformations, and analyze the invertibility of matrices. It also has applications in fields such as physics, computer graphics, and economics.

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