Calculate Eigenvalues of a 2x2 Matrix | A, E, I | Eigenvectors | Eigenspace

In summary, the conversation discusses finding the characteristic values of matrix A and matrix E, represented as λ and λI, respectively. The equation |E - λI| = 0 is used to find the solutions, and it is determined that the eigenvalues for both matrices are 0 and 2. There is also a clarification made about an error in the original solution attempt.
  • #1
thomas49th
655
0

Homework Statement



Let A =
a b
c d
A characteristic value of A (often called an eigenvalue) is denoted by λ and satisfies the relation

det(A - λI) = 0

Obtain the characteristics values of E =
1 -1
-1 1


Homework Equations



Well I is the unit or identity matrix

1 0
0 1


The Attempt at a Solution



I don't understand how E can be of any relation to what the question is asking. Does E = A?

det(A - λI) = 0

=> a - λ, b
c, d - λ = 0

super. ad + λ² - λa - λd + bc = 0

Let's presume for a second that their asking me that A = E

that means a=1, b = -1,c = -1,d = 1

=> 1 + λ² - λ(1-1) + 1 = 0
=? λ² = -2

that canny be though can it?

Any suggestions are welcomed!

Thanks
Tom
 
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  • #2
Yes, they want the solutions of the equation |E - [itex]\lambda[/itex]I| = 0

I get different eigenvalues, both real. Check your determinant work.
 
  • #3
ahh, my bad

x² - 2x = 0

=> x(x-2)

therefore, x = 0, 2

Is that what you got?

Thanks :)
Tom
 
  • #4
You lost your equation. x(x - 2) = 0, which allows you to say x = 0 or x = 2.
thomas49th said:
ahh, my bad

x² - 2x = 0

=> x(x-2)

therefore, x = 0, 2

Is that what you got?

Thanks :)
Tom
 

1. What is an eigenvalue and eigenvector?

An eigenvalue is a scalar value that represents the scaling factor of an eigenvector when multiplied by a matrix. An eigenvector is a vector that remains in the same direction when multiplied by a matrix.

2. How are eigenvalues and eigenvectors used in scientific research?

Eigenvalues and eigenvectors are used in a variety of scientific fields, such as physics, engineering, and computer science. They are used to analyze and solve complex systems, model physical phenomena, and perform calculations in data analysis and machine learning.

3. How do you calculate eigenvalues and eigenvectors of a matrix?

To calculate the eigenvalues and eigenvectors of a matrix, you first need to find the determinant of the matrix. Then, you can use this determinant to find the eigenvalues using a special formula. The eigenvectors can be found by solving a system of linear equations using the eigenvalues.

4. What is the significance of the eigenvalues and eigenvectors of a matrix?

The eigenvalues and eigenvectors of a matrix can reveal important information about the matrix, such as its diagonalizability, symmetry, and stability. They also play a crucial role in solving systems of differential equations and analyzing the behavior of dynamic systems.

5. Can a matrix have more than one set of eigenvalues and eigenvectors?

Yes, a matrix can have multiple sets of eigenvalues and eigenvectors. However, each set will correspond to a different transformation of the matrix. This means that the eigenvalues and eigenvectors may be different for each transformation, but they will still follow the same basic principles.

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