What is the determinant of a matrix with a zero column?

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SUMMARY

The determinant of a matrix A, structured as (^{U}_{W}^{V}_{X}) with V=0, is determined by the formula detA = detU * detX. This conclusion is derived through cofactor expansion along a row containing zeros, specifically leveraging the properties of permutations and the sign function. The discussion emphasizes the importance of understanding matrix block structures and the implications of zero matrices on determinant calculations.

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Kate2010
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Homework Statement



A is an nxn matrix. Suppose A has the form ([tex]^{U}_{W}[/tex][tex]^{V}_{X}[/tex]) in which U, V, W, X are n1xn1, n1x n2, n2xn1 and n2xn2 matrices respectively, such that n1 + n2 = n. If V=0, show that detA = detUdetX


Homework Equations



detA := [tex]\sum[/tex] [tex]_{\rho\in sym(n)}[/tex] sign ([tex]\rho[/tex])[tex]\Pi[/tex] ai i[tex]\rho[/tex]

The Attempt at a Solution



I don't really know how to go about this. If I expand along the 1st row I will get each of the u entries of the first row multiplied by their minor and sign summed together, and the v coefficients will all be zero. I don't know how to write this using the correct notation or where I would go from here.
 
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I would try showing this using cofactor expansion, specifically along a row/column with a lot of zeros (so you are only dealing with one term).
 
Is this true?

Let [tex]\rho[/tex] act on (1 2 ... n1) and [tex]\sigma[/tex] act on (n1+1 ... n1 + n2)

So detU = [tex]\sum[/tex] [tex]_{\rho\in sym(n)}[/tex] sign ([tex]\rho[/tex])[tex]\Pi[/tex] ai i[tex]\rho[/tex]
and detX [tex]\sum[/tex] [tex]_{\sigma\in sym(n)}[/tex] sign ([tex]\sigma[/tex])[tex]\Pi[/tex] ai i[tex]\sigma[/tex]

detA = [tex]\sum[/tex] [tex]_{\rho\sigma\in sym(n)}[/tex] sign ([tex]\rho\sigma[/tex])[tex]\Pi[/tex] ai i[tex]\rho\sigma[/tex]
= [tex]\sum[/tex] [tex]_{\rho\in sym(n)}[/tex] sign ([tex]\rho[/tex])[tex]\Pi[/tex] ai i[tex]\rho[/tex] x[tex]\sum[/tex] [tex]_{\sigma\in sym(n)}[/tex] sign ([tex]\sigma[/tex])[tex]\Pi[/tex] ai i[tex]\sigma[/tex]
=detUdetX
 

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