What is the associated eigenvalue?

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Homework Help Overview

The discussion revolves around the properties of eigenvectors and eigenvalues in relation to a specific polynomial expression involving a matrix A. The original poster seeks to understand why a given vector V is an eigenvector of the matrix expression A^2 + 2A + 3I, given that it is an eigenvector of A with an eigenvalue of 4.

Discussion Character

  • Conceptual clarification, Mathematical reasoning, Assumption checking

Approaches and Questions Raised

  • Participants explore the implications of V being an eigenvector of A and what that means for the expression A^2 + 2A + 3I. Questions arise about the interpretation of the polynomial in relation to matrix dimensions and the calculation of eigenvalues.

Discussion Status

Participants are actively engaging with the problem, questioning assumptions, and clarifying concepts. Some guidance has been offered regarding the distributive properties of matrix multiplication and how to apply known eigenvalue relationships to the polynomial expression. There is a recognition of misconceptions about how coefficients relate to matrix entries.

Contextual Notes

There appears to be some confusion regarding the structure of the polynomial matrix and its dimensions, as well as the interpretation of eigenvalues in this context. Participants are working through these issues without reaching a definitive conclusion.

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Homework Statement



V is an eigenvector of the nxn matrix A, with a eigenvalue of 4. explain why V is a eigenvector of A^2+2A+3I. what is the associated eigenvalue?

Homework Equations





The Attempt at a Solution



is the eigenvalue of A^2+2A+3I=21?
 
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What does it mean that V is an eigenvector of A with eigenvalue 4?

Answer that, and then ask yourself what happens when you multiply the matrix (A^2+2A+3I) by V from the right.

The answer for the eigenvalue is not 21.
 
I don't understand how A^2+2A+3I is populated in what I assume is a 2x2 matrix? If you tell me that it will help me a lot. I don't understand how a polynomial populates a matrix
 
to answer you question. A is a matrix (nxn) v is a nonzero vector in R^n. Av is a scalar multiple of lamda, Av=landav. lamda is the eigenvalue. the unknown here is A either its a matrix that i do know the vectors of or it's a variable that populates the matrix that is used to calculate the eigenvalue...right? so as you say A^2+2A+3I is the matrix how does it populated matrix...what is its dimensions?
 
I don't understand your use of the work "populated".

Here, A is an nxn matrix. And as you probably know, multiplying two nxn matrices or adding two nxn matrices, or multiplying an nxn matrix by a scalar gives out another nxn matrix. So (A^2+2A+3I) is an nxn matrix.

Now, what is (A^2+2A+3I)v, knowing that Av=4v?
 
eigenvalue

looks like it equals 4...this has been helpful. I've had a misconception that coefficients in A^2+2A+3I would be entered into the nxn matrix in some manner..e.g. [[A^2, 2], [3, 0]] or if i knew the vectors of A i could try to calculated the eigenvalue. so is 4 the correct solution?
 
No, it isn't.

Use the fact that multiplication between matrix and vector is distributive. Meaning that for A, B two nxn matrices and u in R^n, (A+B)u=Au+Bu.
 
Saying that v is an eigenvector of A with eigenvalue 4 means that Av= 4v.

What is (A2+ 2A+ 3I)v= A(Av)+ 2Av+ v?
 
eigenvalue

ok i get what you've been saying about using the distributive rule (thanks) A^2v+2Av+3v (is 3v correct 3I*v=3v). so are we at this point A^2v+2Av+3v=4v? if yes then what? thanks for your help.
 
  • #10
Why "A^2v+2Av+3v=4v"? What you know is that Av=4v.

So use that to write A^2v+2Av+3v = A(4v)+2(4v)+3v=... (you finish)
 
  • #11
riordo said:
ok i get what you've been saying about using the distributive rule (thanks) A^2v+2Av+3v (is 3v correct 3I*v=3v). so are we at this point A^2v+2Av+3v=4v? if yes then what? thanks for your help.

No, I didn't say that at all. Av= 4v. What is A(Av)= A(4v)= 4Av? What is 2Av?
 
  • #12
A(4v)+2(4v)+3v=4(Av)+8v+3v=4(Av)+8v+3v=4(4v)+8v+3v=16v+8v+3v=27v does that make sense?
 
  • #13
Plenty.
 
  • #14
thank you. i'll do better with the next question!
 

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