How can I make this matrix a triangular one?

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Homework Help Overview

The discussion revolves around reducing a specific matrix to a triangular form to facilitate the calculation of its determinant. The matrix in question is a 5x5 structure with a variable 'b' along the diagonal and ones elsewhere.

Discussion Character

  • Mixed

Approaches and Questions Raised

  • Participants explore various methods for transforming the matrix, including Gaussian elimination and cofactor expansion. Some question whether alternative methods for calculating the determinant have been considered.

Discussion Status

Several participants have offered different strategies for approaching the problem, including row operations and considering the matrix's structure in terms of eigenvalues. There is an ongoing exploration of methods without a clear consensus on the best approach.

Contextual Notes

Participants are working within the constraints of typical homework guidelines, which may limit the methods they can use or the information they can assume about the matrix.

Hernaner28
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Hi. How can I reduce this matrix into a triangular one so I can calculate the determinant easily.

[tex]\displaystyle\left( {\begin{array}{*{20}{c}}<br /> b&1&1&1&1 \\ <br /> 1&b&1&1&1 \\ <br /> 1&1&b&1&1 \\ <br /> 1&1&1&b&1 \\ <br /> 1&1&1&1&b <br /> \end{array}} \right)[/tex]

I've tried but I cannot make a triangular form...

Thanks!
 
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Reduce to row echelon form by Gaussian elimination.
 
Have you tried computing the determinant by other means?
 
If you need to find the determinant, try the cofactor expansion by the first row.
 
I could! I subtracted row 1 from all rows and then I subtracted the all columns from the first.
 
The cofactor expansion was the one I was thinking of earlier.

Yet another approach is to write the matrix as the sum A + (b-1) I, where A is the matrix of all 1's, and I is the identity matrix. A is diagonalizable, and you can find its eigenvalues without too much trouble -- and so you should also be able to find the eigenvalues of the sum!
 

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