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Davide Grossi edited section_Fixpoint_Logics_for_Boolean__.tex
about 8 years ago
Commit id: 15e58b2950903a33307858b8f1a8ea2e9b5ec4ec
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...
\end{align*}
where $\true{\phi}_{\Model[p:=X]}$ denotes the truth-set of $\phi$ once $\O(p)$ is set to be $X$. As usual, we say that: $\phi$ is valid in a model $\Model$ iff it is satisfied in all points of $\Model$, i.e., $\Model \models \phi$; $\phi$ is valid in a class of models iff it is valid in all the models in the class.
\end{definition}
We list some relevant known results about $\K^{\mu}$. The logic has a sound and (weakly) complete axiom system \cite{Walukiewicz_2000}. The satisfiability problem of $\K^{\mu}$ is decidable \cite{Streett_1984}. The complexity of the model-checking problem for $\K^{\mu}$ is known to be in NP $\cap$ co-NP \cite{Gr_del_1999}. It is known that the model-checking problem for a formula of size $m$ and alternation depth $d$ on a system of size $n$ can be solved by the natural fixpoint-approximation algorithm with (time) complexity of $O((m \cdot n)^{d+1})$ \cite{Emerson96}, where the alternation depth of a formula of $\L^\mu$ is the maximum number of $\mu/\nu$ alternations in a chain of nested fixpoint subformulas.\footnote{The reader is referred to, e.g. \cite{Emerson_2001}, for the precise definition.}
Finally, the $\mu$-calculus is known to be invariant for bisimulation (cf. \cite{Blackburn_2001}). It actually corresponds to the bisimulation-invariant fragment of monadic second-order logic \cite{Janin_1996}.
\subsection{On the logic of convergence in BDPs}
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\end{equation}
where $U$ denotes the universal modality (cf. \cite{Blackburn_2001}).
\subsection{Structural %\subsection{Structural equivalence of BDPs}
The %The $\mu$-calculus is known to be invariant for bisimulation (cf. \cite{Blackburn_2001}). It actually corresponds to the bisimulation-invariant fragment of monadic second-order logic \cite{Janin_1996}. Therefore
bisimulation bisimulati%on gives us a natural notion of structural equivalence for BDPs: bisimilar influence graphs give rise to influence processes that behave ìn the same way'.