Relationship between determinant and eigenvalues?

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The discussion focuses on finding the eigenvalues of a 4x4 matrix and understanding their relationship with the matrix's trace and determinant. The characteristic polynomial derived is x^4 - 7x^3 - x^2 - 33x + 8, yielding two real eigenvalues approximately equal to 0.238 and 7.673, with their sum being 7.911 and product 1.826. The trace of the matrix is 7, which aligns with the sum of the real eigenvalues, but the product does not match the determinant of 8. The conversation clarifies that the remaining two eigenvalues are complex conjugates, which explains the discrepancy in the product and the confusion regarding the relationship between eigenvalues and the trace.
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Homework Statement



Find the eigenvalues of B = [5 2 0 2], [3 2 1 0], [3 1 -2 4], [2 4 -1 2]. Compute the sum and product of eigenvalues and compare it with the trace and determinant of the matrix.

Homework Equations





The Attempt at a Solution



I get the characteristic polynomial x^4 -7x^3 - x^2 - 33x + 8. I used a computer program to solve it for 0 and got eigenvalues L1= 0.238 and L2= 7.673 roughly. Their sum is 7.911. Their product is 1.826. The trace of the matrix is 7. The determinant of the matrix is 8. The trace and the sum of the eigenvalues match up, approximately. The determinant and the product of the eigenvalues, however, don't. What am I doing wrong?
 
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You have a 4x4 matrix, shouldn't you be getting 4 eigenvalues? (the other two are complex)
 
gabbagabbahey said:
You have a 4x4 matrix, shouldn't you be getting 4 eigenvalues? (the other two are complex)

But when you add the real eigenvalues to the complex eigenvalues you'll get a complex answer, right? How can that end up equaling the trace of the matrix if the trace of the matrix is a real number?...Still confused about the relationships.
 
The two eigenvalues you get will always be complex conjugates. This is easy to see in general for real polynomials:

If f(x) = \sum_{i=0}^{n} a_i x^i then (using * for conjugation)

f(x)* = (\sum_{i=0}^{n} a_i x^i)* = \sum_{i=0}^{n} (a_i x^i)* = \sum_{i=0}^{n} a_i* x^i* = \sum_{i=0}^{n} a_i (x*)^i = f(x*)

noting the coefficients are real. So if f(x) = 0, f(x*) = 0
 
Office_Shredder said:
The two eigenvalues you get will always be complex conjugates. This is easy to see in general for real polynomials:

If f(x) = \sum_{i=0}^{n} a_i x^i then (using * for conjugation)

f(x)* = (\sum_{i=0}^{n} a_i x^i)* = \sum_{i=0}^{n} (a_i x^i)* = \sum_{i=0}^{n} a_i* x^i* = \sum_{i=0}^{n} a_i (x*)^i = f(x*)

noting the coefficients are real. So if f(x) = 0, f(x*) = 0

Oh! I see. Thanks for everyone's help.
 
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Question: A clock's minute hand has length 4 and its hour hand has length 3. What is the distance between the tips at the moment when it is increasing most rapidly?(Putnam Exam Question) Answer: Making assumption that both the hands moves at constant angular velocities, the answer is ## \sqrt{7} .## But don't you think this assumption is somewhat doubtful and wrong?

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