Extracting Linear Relations from Gröbner Bases for Formal Verification of And-Inverter Graphs
The work
| Authors | Daniela Kaufmann; Jérémy Berthomieu |
|---|---|
| Editors | |
| Type | misc |
| Year | 2024 |
| Citekey | kaufmann2024extracting |
Identifiers
| arXiv | 2411.16348 from its landing_page_url |
|---|
Access
| Landing page | https://arxiv.org/abs/2411.16348 |
|---|
Related
| Distinct from | bryant1991complexity |
|---|---|
| Distinct from | clarke1996word |
| Distinct from | kleinekathofer2026trace |
| Distinct from | li2026arisca |
| Distinct from | mishchenko2005fraigs |
| Distinct from | yin2025boole |
| Distinct from | yu2018formal |
| Distinct from | zhang2025fastlec |
From bibtex.
Abstract
Formal verification techniques based on computer algebra have proven highly effective for circuit verification. The circuit, given as an and-inverter graph, is encoded using polynomials that automatically generate a Gröbner basis with respect to a lexicographic term ordering. Correctness of the circuit is derived by computing the polynomial remainder of the specification. However, the main obstacle is the monomial blow-up during the reduction, as the degree can increase. In this paper, we investigate an orthogonal approach and focus the computational effort on rewriting the Gröbner basis itself. Our goal is to ensure the basis contains linear polynomials that can be effectively used to rewrite the linearized specification. We first prove the soundness and completeness of this technique and then demonstrate its practical application. Our implementation of this method shows promising results on benchmarks related to multiplier verification.
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How it got here
| How it got here | agent via bibtex |
|---|---|
| Added | 2026-09-17 01:43 UTC |
| Approved by | a person 2026-09-17 17:02 UTC |
Filed under
Cite it as
@misc{kaufmann2024extracting,
title = {Extracting Linear Relations from Gröbner Bases for Formal Verification of And-Inverter Graphs},
author = {Daniela Kaufmann and Jérémy Berthomieu},
year = {2024},
}
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