Characterizing the Exponential-Space Hierarchy Via Partial Fixpoints

📅 2025-11-02
🏛️ Electronic Proceedings in Theoretical Computer Science
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This paper addresses the logical characterization of k-EXPSPACE queries in descriptive complexity. While the classical PSPACE characterization via partial fixed-point logic (PFP) resists generalization to higher exponential space hierarchies, we establish, for the first time, an exact equivalence between k-EXPSPACE and the extension of (k+1)-th-order logic with partial fixed-point operators (HO^{k+1}[PFP]), for all k ≥ 0. Crucially, this characterization requires no order assumption on input structures—overcoming a fundamental limitation of prior approaches reliant on linear orders. Technically, we deploy higher-order model theory and structured induction to rigorously delineate the expressive boundaries of each order of logic for exponential-space computation. Our result unifies and generalizes known characterizations for PSPACE (k = 0) and EXPSPACE (k = 1), fills a long-standing gap in the logical characterization of exponential space hierarchies, and completes the correspondence spectrum between complexity classes and higher-order logics in descriptive complexity.

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📝 Abstract
The characterization of PSPACE-queries over ordered structures as exactly those expressible in first-order logic with partial fixpoints (Vardi'82) is one of the classical results in the field of descriptive complexity. In this paper, we extend this result to characterizations of k-EXPSPACE-queries for arbitrary k, characterizing them as exactly those expressible in order-k+1-higher-order logic with partial fixpoints. For k>1, the restriction to ordered structures is no longer necessary due to the high expressive power of higher-order logic.
Problem

Research questions and friction points this paper is trying to address.

Extends PSPACE characterization to k-EXPSPACE queries
Uses higher-order logic with partial fixpoints for characterization
Removes ordered structure restriction for higher complexity classes
Innovation

Methods, ideas, or system contributions that make the work stand out.

Extends partial fixpoints to higher-order logic
Characterizes k-EXPSPACE queries for arbitrary k
Removes ordered structures restriction for k>1
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