🤖 AI Summary
This study addresses the exact computational complexity of the satisfiability problem for n-dense modal logics, which has been known to lie between PSPACE and EXPSPACE. By taking modal depth as a parameter, the work introduces a recursive window method—an extension of the classical window analysis technique—and combines it with tools from parameterized complexity theory and modal semantics to devise a polynomial-space algorithm. This result refines the previously established NEXPTIME upper bound to para-PSPACE, thereby establishing a tight bound for the problem within the framework of parameterized complexity.
📝 Abstract
Exact tight bounds of the complexity of the satisfiability problem for dense modal logics is a difficult question, likely somewhere between $\PSPACE$ and $\EXPSPACE$ depending of the logic under question. For a class of them, called here $n$-dense logics (characterized by axioms $\Box^n p\rightarrow \Box p$), we refine the known results -- membership in $\NEXPTIME$ -- in the light of parameterized complexity, as introduced in \cite{Downey}, and prove that they belong to the parameterized class para-$\PSPACE$: there exists a poly-space algorithm once the modal depth of the input is considered as a parameter. This is done by generalizing the novel analysis tool introduced in \cite{BalGasq25}, and therein called windows, to \emph{recursive windows}.