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STATISTICS 512 TECHNIQUES OF MATHEMATICS FOR ...

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44<br />

and D λ has a non-negative diagonal. We define<br />

a symmetric, p.s.d. square root of M by<br />

M 12 = VD 12<br />

λ<br />

V0 <br />

— There are other roots, for instance P = VD 12<br />

λ<br />

W<br />

for any orthogonal W (then PP 0 = M) butwe<br />

will generally mean the one above.<br />

• The rank of a real symmetric matrix equals the<br />

number of non-zero eigenvalues. Reason: If<br />

M = VD λ V 0 then the rank of M equals the<br />

rank of D λ (why?), and the latter is clearly (is<br />

it?) the number of non-zero diagonal elements.<br />

— Note also that if M = VDV 0 is the spectral<br />

decomposition then M and D have the same<br />

eigenvalues, namely the diagonal elements of<br />

D. This is because the characteristic polynomials<br />

are the same:<br />

¯<br />

|M − I| = ¯V (D − I) V 0¯¯¯ = |D − I|

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