What Are the Eigenvalues and Characteristic Polynomials of a Special 4x4 Matrix?

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Discussion Overview

The discussion revolves around determining the eigenvalues and characteristic polynomials of a specific 4x4 matrix, as well as a general nXn matrix defined by its diagonal and off-diagonal elements. Participants explore theoretical aspects, problem-solving strategies, and mathematical properties relevant to eigenvalues and determinants.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • One participant states that two eigenvalues of matrix A are known to be 3 and 2, and asks for the other two eigenvalues and the characteristic polynomial.
  • Another participant expresses concern about simply providing homework answers and asks how the original poster is approaching the second question.
  • A participant suggests that the determinant is a multiple of all eigenvalues and the trace is the sum of all eigenvalues, which could help find the last eigenvalue for the first problem.
  • One participant attempts to derive the characteristic polynomial of A and discusses the implications of the eigenvalue properties, including the determinant and trace.
  • Another participant points out potential errors in the previous calculations and emphasizes the correct formulation of the characteristic polynomial.
  • There is a discussion about the implications of the eigenvalue 3 being associated with the matrix A + 2I, leading to the conclusion that 1 is also an eigenvalue.
  • One participant proposes that if A has four distinct eigenvalues, their product must equal 12, leading to further exploration of the eigenvalues and their multiplicities.
  • For the second matrix T(n), participants discuss its structure and how to verify its properties, including finding eigenvalues and determinants.

Areas of Agreement / Disagreement

Participants express differing views on the approach to solving the problems, with some providing hints and others correcting earlier claims. There is no consensus on the exact eigenvalues or the characteristic polynomial of matrix A, as participants explore various possibilities and calculations.

Contextual Notes

Participants highlight the need for clarity in definitions and the importance of correctly applying properties of determinants and eigenvalues. Some calculations and assumptions remain unresolved, particularly regarding the multiplicity of eigenvalues and the implications of the given properties of the matrices.

Who May Find This Useful

This discussion may be useful for students and practitioners in mathematics and engineering who are interested in eigenvalues, characteristic polynomials, and matrix theory, particularly in the context of assignments or theoretical explorations.

tanyas
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Hi,

I need help on these questions for an assignment. I've been working on them for a couple of days and not getting anywhere. Any help would be appreciated...

1) A certain 4X4 real matrix is known to have these properties:
1. Two fo the eigenvalues of A are 3 and 2
2. the number 3 is an eigenvalue of the matrix A + 2I
3. det A =12

(i) what are the other two eigenvalues of the A?
(ii) what is the characteristic polynomial of A? of A'
(iii)what is the characteristic polynomial of A^-1

i guess (ii) and (iii) are easy once you get (i)

2) Let T(n) denote an nXn matrix such that for each tij,
tij= a if i=j
tij=b if i not equals j
(so basically a matrix with a's in the diagnol and b's as all the other elements
eg 3X3 a b b
b a b
b b a

(i) verify that T(n) = (a-b)I + bE where E is an nXn matirx of all 1's
(ii)find the eigenvalues of T
(iii) show that det T(n) = (a-b)^n-1 * (a + (n-1)b)

Thanks :)
 
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There is a general disdain for simply doing people's homework on these forums, especially questions whose answer is "look at the definition", ie Given a matrix M, what is the criterion for t to be an eigenvalue? That answers the first question.

How are you going about solving the second?
 
hi,
im not asking for someone to solve the questions for me...just some hints as to which direction to go on...its a correspondence course...so its kind of hard to get help from the instructor(and there are no classmates to discuess with)...the lectures are all on tape...there's no visual so they're not very easy to follow and the textbook isn't much help either...ive tried looking up a few other books and internet resources but even then I am having a problem with these questions
for the first ques...the only way i can think of id to construct a 4X4 general matrix and then use 1,2,3 to figure out its entries and then go from there...but that gets really messy and even then i don't think i'l get the solution that way...i'm wondering of I am missing some property of determinants that may help
for the second ques i have absolutely no idea where to begin...
would be really grateful if u could give me a couple of pointers
 
det is a multiple of all eigenvalues
trace is a sum of all eigenvalues

this should help you get your last eigenvalue for problem 1
 
got it! thanks a lot :)
just wondering...where do you use property 2 then...because you can solve the whole question using just 1 and 3 then..
 
2. the number 3 is an eigenvalue of the matrix A + 2I
A*x = lambda*x

(A+2I)*x=lambda*x
(A+2I-lambda)*x=0
(A+2-3)*x=0
(A-1)*x=0

So, det(A-1) is the characteristic polynomial of A
det(A-1) is also characteristic polynomial of A' ( since det(A')=det(A) )
det(A^-1)=1/det(A-1)
Characteristic polynomial of A^-1 is 1/det(A-1) (I think..)

det A= 2*2*3 = 12
trace A = 2+2+3 = 7

-----snip-------
never mind most of this stuff below, i was trying to find matrix A itself...

det(A+2I)=(a11+2)(a22+2)(a33+2)(a44+2) + (a12)(a23)(a34)(a41) + (a13)(a24)(a31)(a42) + (a14)(a21)(a32)(a43) -(a14)(a23)(a32)(a41) -(a11+2)(a24)(a33+2)(a42) -(a12)(a21)(a34)(a43) -(a13)(a22)(a31)(a44+2) = 0 --> (equation 1)

trace(A+2) = trace(A) + trace(2) = 7+2 = 9

So.. 9 = a11+a22+a33+a44+8
a11+a22+a33+a44=1 --> (equation 2)

If you use other eigenvalue (lambda=2) you have:
A*x=lambda*x
A*x=2*x
A*x-2*x=0
(A-2I)*x=0
det(A-2I) = 0

det(A-2I) = (a11-2)(a22-2)(a33-2)(a44-2) + (a12)(a23)(a34)(a41) + (a13)(a24)(a31)(a42) + (a14)(a21)(a32)(a43) - (a14)(a23)(a32)(a41) - (a11-2)(a24)(a33+2)(a42) - (a12)(a21)(a34)(a43) - (a13)(a22)(a31)(a44-2) = 0 --> (equation 3)
trace(A-2I) = trace(A) - trace(2) = 7 - 2 = 5
trace(A-2I)= a11+a22+a33+a44-8 = 5

a11+a22+a33+a44-8 = 5 -->> (equation 4)
-----snip-------
 
Last edited:
This is that time when I regret not buying that cheap whiteboard from staples..

I can't find A !@$

We need a topology/ring expert here
 
No, you seem to have made a few errors there.

The characteristic polynomial of A is Det(A - xI) (or sometimes Det(xI-A), it doesn't really matter).

set P(x)= Det(A-xI)

What you wrote down isn't even a polynomial, so let's asssume we've corrected that.

t is an eigenvalue of A if and only if Det(A-tI) = 0

Det(A^{-1} - xI) most certainly isn't 1/Det(A-xI) - this isn't even a polynomial.

However, by cayley's theorem we know that P(A)=0. Can you think of a polynomial that A^{-1} satisfies? If that's not the way your brain works:

Det(A^{-1} - xI) = Det(A^-1)Det(1-Ax) = x^nDet(A^{-1})(Det(1/x - A) let y=1/x, and can you see how to get P into it?

In the specific case where A is the 4x4 above, I have an issue with the question, since we do not know that A has 4 eigenvalues, and need not. In fact the question is phrased so that we cannot make any deductions about "both" the other eigenvalues. Certainly, since 3 is an eigenvalue of A+2I, we know that Det(A+2I-3I) = 0= Det(A-I), so 1 is an eigen value. Now, if A had 4 distinct eigenvalues their product would equal 12, ie 1*2*3*d-12, where d is the last value to find, however, solving d=2, so we get a "repeated" eigenvalue, so actually there are only 3 eigenvalues, 1,2,3 and 2 occurs with multiplicty two in the characteristic polynomial (though it may not have two eigen vectors).

Hence the P(x) = (x-1)(x-2)^2(x-3)

I think A' means transpose, right? Use Cayleys theorem again to get a degree 4 polynomial that A' satisfies from P(x) (Hint, it's P(x)).


As for 2,

T = (a-b)I + bE

What is the entry at position i,j on each side of the equals sign? Is it the same?

Suppose v is an e'vector of T, that T(v) = kv.

kv=Tv=(a-b)v+ bEv

So Ev = ((k+b-a)/b)v

ie v is an eigenvactor of E

conversely, show any eigenvector of E is an eigen vector of T.

Can you find any eigen vectors of E (there are a lot, in fact there is a basis of eigen vectors) let me start you off with (1,1,1,..,1) and (1,-1,0,0,,...,0)
 

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