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Coverability in VASS Revisited: Improving Rackoff’s Bounds to Obtain Conditional Optimality

Authors: Marvin Künnemann; Filip Mazowiecki; Lia Schütze; Henry Sinclair-Banks; Karol Węgrzycki;

Coverability in VASS Revisited: Improving Rackoff’s Bounds to Obtain Conditional Optimality

Abstract

Seminal results establish that the coverability problem for Vector Addition Systems with States (VASS) is in EXPSPACE (Rackoff, ’78) and is EXPSPACE -hard already under unary encodings (Lipton, ’76). More precisely, Rosier and Yen later utilise Rackoff’s bounding technique to show that if coverability holds then there is a run of length at most \(n^{2^{\mathcal {O}(d \log (d))}} \) , where d is the dimension and n is the size of the given unary VASS. Earlier, Lipton showed that there exist instances of coverability in d -dimensional unary VASS that are only witnessed by runs of length at least \(n^{2^{\Omega (d)}} \) . Our first result closes this gap. We improve the upper bound by removing the twice-exponentiated log ( d ) factor, thus matching Lipton’s lower bound. This closes the corresponding gap for the exact space required to decide coverability. This also yields a deterministic \(n^{2^{\mathcal {O}(d)}} \) -time algorithm for coverability. Our second result is a matching lower bound, that there does not exist a deterministic \(n^{2^{o(d)}} \) -time algorithm, conditioned upon the exponential time hypothesis. When analysing coverability, a standard proof technique is to consider VASS with bounded counters. Bounded VASS make for an interesting and popular model due to strong connections with timed automata. Withal, we study a natural setting where the counter bound is linear in the size of the VASS. Here the trivial exhaustive search algorithm runs in \(\mathcal {O}(n^{d+1}) \) time. We give evidence to this being near-optimal. We prove that in dimension one this trivial algorithm is conditionally optimal, by showing that n 2 − o (1) time is required under the k -cycle hypothesis. In general, for any fixed dimension d ≥ 4, we show that n d − 2 − o (1) time is required under the 3-uniform hyperclique hypothesis.

Keywords

FOS: Computer and information sciences, Theory of computation → Models of computation, Hyperclique Hypothesis, Formal Languages and Automata Theory (cs.FL), Computer Science - Formal Languages and Automata Theory, Reachability, Computational Complexity (cs.CC), 004, Computer Science - Computational Complexity, Fine-Grained Complexity, Coverability, k-Cycle Hypothesis, Exponential Time Hypothesis, Vector Addition System, ddc: ddc:004

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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