I'm trying to solve symbolically the following optimisation:
$$ \min_{q_uu}\ \Biggl[ q_u q_{uu}\psi B_{uu} + q_u q_{ud}\psi B_{ud} + q_d q_{du}\psi B_{ud} + q_d q_{dd}\psi B_{dd} $$ $$ + \eta_s \left ( q_u \log \frac{q_u}{p_u} + q_d \log \frac{q_d}{p_d} \right ) $$ $$ \eta_p q_u \left ( q_{uu} \log \frac{q_{uu}}{p_{uu}} + q_{ud} \log \frac{q_{ud}}{p_{ud}} \right ) + \eta_p q_d \left ( q_{du} \log \frac{q_{du}}{p_{du}} + q_{dd} \log \frac{q_{dd}}{p_{dd}} \right ) \Biggr] $$ subject to $$ q_u + q_d = 1\ ,\ p_u + p_d = 1\ ,\ q_{uu} + q_{dd} = 1\ ,\ p_{uu} + p_{dd} = 1 $$
is there an elegant method for solving such a problem? My approach has been to substitute in the constraints , define the resulting objective as a function , and then differentiate. Unfortunately I get a strange output with 'pattern' coming in for some reason. Apologies if this is trivial - I'm new to mathematica...
f[qu_, quu_, qdu_, \[Psi]_] := (qu*quu*\[Psi]*Buu + qu*(1 - quu)*\[Psi]*Bud
+ (1 - qu)*qdu*\[Psi]*Bud + (1 - qu)*(1 - qdu)*\[Psi]*Bdd) +
\[Eta]s*(qu*log[qu/pu] + (1 - qu)*log[(1 - qu)/pd]) +
\[Eta]d*qu*(quu*log[quu/puu] + (1 - quu)*log[(1 - quu)/pud]) + \[Eta]d*(1 - qu)*
(qdu*log[qdu/pdu] + (1 - qdu)*log[(1 - qdu)/pdd]);
Then ,
FOC = D[f[qu_, quu_, qud_, \[Psi]_], quu]
but I get a strange answer ?
-Bud qu_ \[Psi]_ (Pattern^(1,0))[quu,_]+Buu qu_ \[Psi]_ (Pattern^(1,0))[quu,_]+qu_
Subscript[\[Eta], d] (-log[(1-quu_)/pud] (Pattern^(1,0))[quu,_]+log[quu_/puu]
(Pattern^(1,0))[quu,_]-((1-quu_) (log^\[Prime])[(1-quu_)/pud] (Pattern^(1,0))
[quu,_])/pud+(quu_ (log^\[Prime])[quu_/puu] (Pattern^(1,0))[quu,_])/puu)
FOC. – Szabolcs Feb 18 '12 at 18:43