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Sound Over-Approximation of Equational Reasoning with Variable-Preserving Rules Parameterized by Derivation Depth
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Shows that ground equational reasoning with variable-preserving axioms can be soundly over-approximated in FPT time parameterized by derivation depth, via tree-automata completion.
Problem
Deciding whether a ground equation follows from a set of equational axioms is undecidable in general and NEXP-complete for depth bounded in binary; the paper targets tractable handling of bounded-depth parallel equational derivations.
Approach
Builds a tree automaton A(E,d,t) by iteratively applying a tree-automata completion step N(A,E) for each depth level, whose language soundly over-approximates terms reachable from t in d parallel rewriting steps; membership of t' in this language gives a YES/NO decision that is sound with respect to the equational closure.
Key results
- Main theorem: for fixed variable-preserving E, the algorithm decides YES for all equations derivable in depth at most d and NO for equations outside the equational closure, running in time f_E(d)·|t|·|t'|.
- Observation 7: for commutativity x+y=y+x, exponentially many terms are reachable in one parallel step while sequential derivations need Omega(n) steps.
- Theorem 8: a set of O(|Sigma|·r!) variable-preserving equations captures tree isomorphism in depth 1.
Surprising findings
- Parallel depth-1 derivations can be unboundedly more powerful than sequential derivations, reaching exponentially many terms in one step.
Limitations
- Full correctness analysis of automaton construction time deferred to a full version not included here.
- Over-approximation means YES may cover equations requiring derivations deeper than d.
- Result applies only to variable-preserving equations; general equations are undecidable.
Experimental setup
Builds on: Birkhoff's theorem tree automata completion multi-step rewriting (van Oostrom)
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