Holographic Approximation: Difference between revisions

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=Holant Problem =
=Holant Problem =
== Recursion on tree ==
<math>
\begin{align}
\#\{\sigma_T\mid\sigma_T(e)=0\}
&=
\sum_{\ell=0}^k\sum_{S\in{[k]\choose \ell}}f_\ell \prod_{i\in S}\#\{\sigma_{T_i}\mid \sigma_{T_i}(e_i)=1\}\prod_{i\in [k]\setminus S}\#\{\sigma_{T_i}\mid \sigma_{T_i}(e_i)=0\}\\
\#\{\sigma_T\mid\sigma_T(e)=1\}
&=
\sum_{\ell=0}^k\sum_{S\in{[k]\choose \ell}}f_{\ell+1} \prod_{i\in S}\#\{\sigma_{T_i}\mid \sigma_{T_i}(e_i)=1\}\prod_{i\in [k]\setminus S}\#\{\sigma_{T_i}\mid \sigma_{T_i}(e_i)=0\}
\end{align}
</math>

Revision as of 20:38, 17 April 2012

Holant Problem

Recursion on tree

[math]\displaystyle{ \begin{align} \#\{\sigma_T\mid\sigma_T(e)=0\} &= \sum_{\ell=0}^k\sum_{S\in{[k]\choose \ell}}f_\ell \prod_{i\in S}\#\{\sigma_{T_i}\mid \sigma_{T_i}(e_i)=1\}\prod_{i\in [k]\setminus S}\#\{\sigma_{T_i}\mid \sigma_{T_i}(e_i)=0\}\\ \#\{\sigma_T\mid\sigma_T(e)=1\} &= \sum_{\ell=0}^k\sum_{S\in{[k]\choose \ell}}f_{\ell+1} \prod_{i\in S}\#\{\sigma_{T_i}\mid \sigma_{T_i}(e_i)=1\}\prod_{i\in [k]\setminus S}\#\{\sigma_{T_i}\mid \sigma_{T_i}(e_i)=0\} \end{align} }[/math]