Linear ALgebra: Showing negative definteness

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SUMMARY

The discussion focuses on proving that if M is a real anti-symmetric n x n matrix, then M^2 is a non-positive real symmetric matrix, satisfying the condition x^T M^2 x <= 0 for all vectors x. The key insight is that the expression x^T M^2 x can be rewritten as -(Mx)^T (Mx), which demonstrates that it is always less than or equal to zero. The discussion emphasizes that determinants and eigenvalues are unnecessary for this proof, as the anti-symmetry property of M directly leads to the conclusion.

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Homework Statement



If M is a real anti-symmetric n x n matrix, M^2 is a real symmetric matrix. Show that M^2 is a non-positive matrix, i.e. x(transposed) M^2 x <= 0, for all vectors x.


Homework Equations



det(M) = (-1)^n det (M)

The Attempt at a Solution



I attempted to use the relevant equation above to find the determinant of M^2, and found that it is >=0. Diagonalising M^2 gives me the matrix of diagonal eigenvalues, which shares the same determinant as M^2. Thus, in the eigenvalue basis, I proved y(trans) D y >=0, which is the opposite of what the question wants.
 
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No need whatsoever for determinants or eigenvalues.

Hint: ##x^T M^2 x = (x^T M) (M x) = ?##
 
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1. Are you sure you didn't mistype that determinant formula?
2. anti-symmetry implies M^T = -M
 
jbunniii said:
No need whatsoever for determinants or eigenvalues.

Hint: ##x^T M^2 x = (x^T M) (M x) = ?##

= ##(M^T x)^T (Mx) = -(Mx)^T(Mx) = -|Mx|^2 <=0 ##

Thanks.
 

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