Linear Algebra: Find Matrix Determinant w/o Evaluating Directly

AI Thread Summary
To find the determinant of the given symmetric matrix without direct evaluation, one approach is to leverage its diagonalizability, as symmetric matrices have real eigenvalues. By computing the square of the matrix and expressing it in terms of the identity matrix, a polynomial can be formed whose roots correspond to the eigenvalues, and the product of these eigenvalues gives the determinant. Special cases, such as setting a equal to b or either a or b to zero, can provide trivial solutions that help in understanding the determinant's behavior. Additionally, using linear combinations of the matrix's rows may reveal a factorization that simplifies the calculation. Ultimately, these strategies can lead to a clearer path for determining the determinant.
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Homework Statement


Find the determinant of the matrix using identities without evaluating the determinants directly:

a b b b
b a b b
b b a b
b b b a

The Attempt at a Solution


I tried getting it into a triangular matrix but halfway through it got too complicated and it has to be simpler than what I think it is. The matrix is symmetric but I don't know how that relates to the determinant.
 
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I don't know if you are supposed to know this way but let's try :
if a and b are real, a symmetric matrix is diagonalisable
You know that the eigenvalues are roots of any polynom that cancel your matrix. For a start, compute the square of you matrix and reexpress it in terms of the indentity matrix and your original one. This identity gies you a polynom that cancel your matrix. Its roots are eigenvalues, and their product is the determinant. Take care of the multiplicity of the eigenvalues, that's all !

You can also have guidance from basic aspects : you know trivial answers for special cases : a=b, a=0 or b=0 etc ... this should come then !

Last possibility (but also not very elegant) : trying linear combination of lines and you will find a nice factorization appearing...
 
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