Lower Bounds against the Ideal Proof System in Finite Fields
Tal Elbaz, Nashlen Govindasamy, Jiaqi Lu, Iddo Tzameret

TL;DR
This paper establishes new lower bounds for algebraic proof systems over finite fields, particularly for multilinear IPS and read-once algebraic branching programs, advancing understanding of proof complexity in finite field settings.
Contribution
It proves lower bounds for IPS fragments over finite fields, extending previous results to finite fields and connecting algebraic proof complexity with Boolean proof systems.
Findings
No polynomial-size multilinear IPS refutations for specific finite field instances.
Extended lower bounds for read-once algebraic branching program refutations in finite fields.
Lower bounds imply hardness results for related Boolean proof systems like $AC^0[p]$-Frege.
Abstract
Lower bounds against strong algebraic proof systems and specifically fragments of the Ideal Proof System (IPS), have been obtained in an ongoing line of work. All of these bounds, however, are proved only over large (or characteristic ) fields, yet finite fields are the more natural setting for propositional proof complexity, especially for progress toward lower bounds for Frege systems such as -Frege. This work establishes lower bounds against fragments of IPS over fixed finite fields. Specifically, we show that a variant of the knapsack instance studied by Govindasamy, Hakoniemi, and Tzameret (FOCS'22) has no polynomial-size IPS refutation over finite fields when the refutation is multilinear and written as a constant-depth circuit. The key ingredient of our argument is the recent set-multilinearization result of Forbes (CCC'24), which extends the earlier result of Limaye,…
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Taxonomy
TopicsComplexity and Algorithms in Graphs · Advanced Graph Theory Research · Logic, programming, and type systems
