Power of matrix and power of eigenvalue

In summary, the conversation discusses how to prove that when a matrix A has an eigenvalue \lambda, its k-th power A^{k} also has an eigenvalue \lambda^{k}. The solution involves using the fact that A^k can be written as A(A(...(A(X))...)) and using the property that A^{k}X^{k} = \lambda^{k}X^{k}.
  • #1
bmanbs2
22
0
Assuming that [tex]k\geq0[/tex],

How does one prove that when [tex]A[/tex] has an eigenvaule [tex]\lambda[/tex] that [tex]A^{k}[/tex] has an eigenvalue [tex]\lambda^{k}[/tex]?
 
Last edited:
Physics news on Phys.org
  • #2
This is pretty straight-forward. [tex]Av=\lambda v[/tex] for some vector v, so try to calculate [tex]A^kv[/tex].
 
Last edited:
  • #3
Matrix raised to certain power has exponent raised to same power proof.

Homework Statement


Prove that when [tex]A[/tex] has an eigenvaule [tex]\lambda[/tex] that [tex]A^{k}[/tex] has an eigenvalue [tex]\lambda^{k}[/tex]?

Homework Equations


None

The Attempt at a Solution


Tried to show that [tex]A^{k}X^{k} = \lambda^{k}X^{k}[/tex], but [tex]X^{k}[/tex] isn't possible as [tex]X[/tex] is a vector.
 
  • #4


Realizing A^k*X^k makes no sense is a good start. But A^2(X)=A(A(X))=A(lambda*X)=lambda*(A(X))=lambda*(lambda*X)=lambda^2*X makes sense, doesn't it?
 
  • #5


Yes...yes it does indeed. Thank you
 

FAQ: Power of matrix and power of eigenvalue

What is the power of a matrix?

The power of a matrix refers to the repeated multiplication of a matrix by itself. For example, the second power of a matrix A is A^2=A*A, the third power is A^3=A*A*A, and so on.

How is the power of a matrix calculated?

The power of a matrix is calculated by multiplying the matrix by itself a certain number of times, as indicated by the power. For example, A^3=A*A*A. This can also be written as A^(n+1)=A*A^n, where n is the power of the matrix.

What is the significance of eigenvalues in the power of a matrix?

Eigenvalues are important in the power of a matrix because they represent the scaling factor by which a matrix is stretched or compressed when multiplied by itself. The power of eigenvalues is used to calculate the power of a matrix.

How can the power of a matrix be used in real-world applications?

The power of a matrix has many applications in various fields such as engineering, physics, and economics. It can be used to model and predict growth, decay, and other processes. It is also used in computer graphics, cryptography, and data compression.

What are some properties of the power of a matrix?

Some properties of the power of a matrix include the commutative property, where the order of multiplication does not matter, and the associative property, where the grouping of matrices does not matter. Additionally, the power of a diagonal matrix is simply the power of its diagonal entries.

Back
Top