Linear algebra: eigenvalue & character polynomials proof

In summary: Then just carry on with the rest of the argument where you proved the eigenvalues were the same. There is no need to use a special name for the matrix of eigenvalues.
  • #1
ISuckAtMath
4
0
we are given B = CAC^-1

Prove that A and B have the same characteristic polynomial
given a hint: explain why ƛIn = CƛInC^-1


what I did was:
B = CAC^-1
BC = CA
Det(BC) = Det(CA)
Det(B) Det(C) = Det(C) Det(A)
Now they’re just numbers so I divide both sides by Det(C)
Det(B) = Det(A)

not I am stuck
 
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  • #2


The determinant is one term in the characteristic polynomial, but you need more than that to show the characteristic polynomials are the same.

The eigenvalues are the roots of the characteristic polynomial so you need to show that every eigenvalue of B is also eigenvalue of A, and vice versa.

If λ is an eigenvalue of B, then there is a vector x such that Bx = λx.

So you need to find a vector y such that Ay = λy.

You are only given one thing that connects A and B, so just plug and chug...
 
  • #3

Homework Statement



Suppose that C is an invertible matrix, and you are told that

B = CA(C^-1)

prove that A and B have exactly the same characteristic polynomial

do not assume A and B are triangular or diagonal matrices


Homework Equations



given hint: explain why ƛIn = CƛIn(C^-1)

The Attempt at a Solution



B = CA(C^-1)

BC = CA

Det(BC) = Det(CA)

Det(B) Det(C) = Det(C) Det(A)

now that they're just numbers, i divded both sides by Det(C)

Det(B) = Det(A)

i don't know what to do next
 
  • #4
ISuckAtMath said:

Homework Statement



Suppose that C is an invertible matrix, and you are told that

B = CA(C^-1)

prove that A and B have exactly the same characteristic polynomial

do not assume A and B are triangular or diagonal matrices

Homework Equations



given hint: explain why ƛIn = CƛIn(C^-1)

The Attempt at a Solution



B = CA(C^-1)

BC = CA

Det(BC) = Det(CA)

Det(B) Det(C) = Det(C) Det(A)

now that they're just numbers, i divded both sides by Det(C)

Det(B) = Det(A)

i don't know what to do next

That's fine so far. But it doesn't help. What expression involving Det gives you the characteristic polynomial?
 
  • #5
Dick said:
That's fine so far. But it doesn't help. What expression involving Det gives you the characteristic polynomial?

well i know det(ƛIn - A)= 0

thus giving the characteristic polynomial (ƛ-ƛ1)(ƛ-ƛ2)...(ƛ-ƛn)

do i set set det(ƛIn - A) = det(ƛIn - B)?

with the given vector v: Av = ƛv and Bv = ƛv

therefore Av = Bv?
 
  • #6
ISuckAtMath said:
well i know det(ƛIn - A)= 0

thus giving the characteristic polynomial (ƛ-ƛ1)(ƛ-ƛ2)...(ƛ-ƛn)

do i set set det(ƛIn - A) = det(ƛIn - B)?

with the given vector v: Av = ƛv and Bv = ƛv

therefore Av = Bv?

Ok, so the characteristic polynomial for B=CAC^(-1) is det(CAC^(-1)-lambda*I). Now pay attention to the hint.
 
  • #7
ISuckAtMath said:
well i know det(ƛIn - A)= 0

thus giving the characteristic polynomial (ƛ-ƛ1)(ƛ-ƛ2)...(ƛ-ƛn)

do i set set det(ƛIn - A) = det(ƛIn - B)?

with the given vector v: Av = ƛv and Bv = ƛv

therefore Av = Bv?

You would want to start with det(λI - A) and conclude that it equals det(λI-B), i.e. their characteristic polynomials are the same. Starting with det(λI-A), think about the relationship between A and B, then the hint, and recall that matrice have a distributive property which allows you to factor.
 
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  • #8


AlephZero said:
The determinant is one term in the characteristic polynomial, but you need more than that to show the characteristic polynomials are the same.

The eigenvalues are the roots of the characteristic polynomial so you need to show that every eigenvalue of B is also eigenvalue of A, and vice versa.

If λ is an eigenvalue of B, then there is a vector x such that Bx = λx.

So you need to find a vector y such that Ay = λy.

You are only given one thing that connects A and B, so just plug and chug...

Note that proving that the eigenvalues are thesame for A and B isn't enough. You also need to prove that the multiplicities are the same.
 
  • #9
Dick said:
Ok, so the characteristic polynomial for B=CAC^(-1) is det(CAC^(-1)-lambda*I). Now pay attention to the hint.

is this correct?

B = CAC^(-1)

B-λIn = CAC^(-1) - λIn

using the hint: λIn = CλInC^(-1)

B-λIn = CAC(^-1) - CλInC^(-1)

B-λIn = C[ AC^(-1) - λInC^(-1) ] factored out C

B-λIn = CC^(-1)( A-λIn)

B-λIn = A-λIn, CC^(-1) cancel each other out

therefore det(B-λIn) = det(A-λIn)

so they're the same characteristic polynomial
 
  • #10


what you want to do is compare:

det(xI - A) and det(xI - B) = det(xI - CAC-1).

here is a hint:

CIC-1 = I
 
  • #11
ISuckAtMath said:
is this correct?

B = CAC^(-1)

B-λIn = CAC^(-1) - λIn

using the hint: λIn = CλInC^(-1)

B-λIn = CAC(^-1) - CλInC^(-1)

B-λIn = C[ AC^(-1) - λInC^(-1) ] factored out C

B-λIn = CC^(-1)( A-λIn)

B-λIn = A-λIn, CC^(-1) cancel each other out

therefore det(B-λIn) = det(A-λIn)

so they're the same characteristic polynomial

No! The only way B-lambda*I=A-lambda*I is if A=B!. You can't prove that. You went wrong when you changed AC^(-1) into C^(-1)A in the third line. You can't do that. Matrices don't necessarily commute. Just factor the C^(-1) out on the right and the C on the left. Then take the det.
 
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  • #12


micromass said:
Note that proving that the eigenvalues are thesame for A and B isn't enough. You also need to prove that the multiplicities are the same.

Oops. But that is easily fixed up. Just start the argument by saying

If λ is a diagonal matrix of all the eigenvalues of B, then there is a matrix x such that Bx = λx.
 
  • #13


ISuckAtMath said:
we are given B = CAC^-1

Prove that A and B have the same characteristic polynomial
given a hint: explain why ƛIn = CƛInC^-1what I did was:
B = CAC^-1
BC = CA
Det(BC) = Det(CA)
Det(B) Det(C) = Det(C) Det(A)
Now they’re just numbers so I divide both sides by Det(C)
Det(B) = Det(A)

not I am stuck

You are trying to prove that det(λI - B) = det(λI - A)
and there is basically no way to prove that B = A because they are really not equal to each other

You are given a hint that λI = CλIC-1
and B = CAC-1
then you substitute these two into det(λI - B)

you should be able to prove that det(λI - B) = det(λI - A)

*you will need to use the properties of determinants, and also matrix multiplication is associative, be careful when factoring any matrix out...
 
Last edited:

Related to Linear algebra: eigenvalue & character polynomials proof

1. What is an eigenvalue?

An eigenvalue is a scalar value that represents the scaling factor of an eigenvector in a linear transformation. In other words, it is the value by which the eigenvector is stretched or compressed when it is multiplied by a matrix.

2. How is an eigenvalue calculated?

The calculation of eigenvalues involves solving the characteristic polynomial of a matrix, which is obtained by subtracting a scalar value from the diagonal of the matrix and taking the determinant. The solutions of this equation are the eigenvalues of the matrix.

3. What is a character polynomial?

A character polynomial, also known as a characteristic polynomial, is a polynomial equation that is used to find the eigenvalues of a matrix. It is obtained by subtracting a scalar value from the diagonal of the matrix and taking the determinant.

4. What is the significance of eigenvalues and character polynomials?

Eigenvalues and character polynomials are important in linear algebra as they provide information about the behavior of a matrix. They are used to determine the stability of a system, the dominant behavior of a transformation, and the presence of any repeated eigenvalues.

5. Can eigenvalues and character polynomials be used to solve systems of linear equations?

Yes, eigenvalues and character polynomials can be used to solve systems of linear equations. By finding the eigenvalues of a matrix, we can determine the behavior of the system and use this information to solve for the unknown variables in the equations.

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