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v2009.01.01 - Convex Optimization

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616 APPENDIX D. MATRIX CALCULUS<br />

which converts a Hadamard product into a standard matrix product. In the<br />

special case that S = s and Y = y are vectors in R M<br />

D.1.3<br />

s ◦ y = δ(s)y (1664)<br />

s T ⊗ y = ys T<br />

s ⊗ y T = sy T (1665)<br />

Chain rules for composite matrix-functions<br />

Given dimensionally compatible matrix-valued functions of matrix variable<br />

f(X) and g(X) [190,15.7]<br />

∇ X g ( f(X) T) = ∇ X f T ∇ f g (1666)<br />

∇ 2 X g( f(X) T) = ∇ X<br />

(<br />

∇X f T ∇ f g ) = ∇ 2 X f ∇ f g + ∇ X f T ∇ 2<br />

f g ∇ Xf (1667)<br />

D.1.3.1<br />

Two arguments<br />

∇ X g ( f(X) T , h(X) T) = ∇ X f T ∇ f g + ∇ X h T ∇ h g (1668)<br />

D.1.3.1.1 Example. Chain rule for two arguments. [37,1.1]<br />

∇ x g ( f(x) T , h(x) T) =<br />

g ( f(x) T , h(x) T) = (f(x) + h(x)) T A (f(x) + h(x)) (1669)<br />

[ ] [ ]<br />

x1<br />

εx1<br />

f(x) = , h(x) =<br />

(1670)<br />

εx 2 x 2<br />

∇ x g ( f(x) T , h(x) T) =<br />

[ 1 0<br />

0 ε<br />

]<br />

[ ε 0<br />

(A +A T )(f + h) +<br />

0 1<br />

[ 1 + ε 0<br />

0 1 + ε<br />

]<br />

(A +A T )(f + h)<br />

] ([ ] [ ])<br />

(A +A T x1 εx1<br />

) +<br />

εx 2 x 2<br />

(1671)<br />

(1672)<br />

from Table D.2.1.<br />

lim<br />

ε→0 ∇ xg ( f(x) T , h(x) T) = (A +A T )x (1673)

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