On the algebraic proof complexity of Tensor Isomorphism
| Autor: | Galesi, Nicola, Grochow, Joshua A., Pitassi, Toniann, She, Adrian |
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| Rok vydání: | 2023 |
| Předmět: |
FOS: Computer and information sciences
Computer Science - Logic in Computer Science proof complexity of linear algebra Theory of computation → Problems reductions and completeness Polynomial Calculus Algebraic proof complexity reductions Computational Complexity (cs.CC) 03F20 15A69 68Q25 13P15 Tensor Isomorphism Logic in Computer Science (cs.LO) Sum-of-Squares Computer Science - Computational Complexity lower bounds F.2.2 F.4.1 Computer Science - Data Structures and Algorithms Graph Isomorphism Theory of computation → Proof complexity Data Structures and Algorithms (cs.DS) |
| DOI: | 10.48550/arxiv.2305.19320 |
| Popis: | The Tensor Isomorphism problem (TI) has recently emerged as having connections to multiple areas of research within complexity and beyond, but the current best upper bound is essentially the brute force algorithm. Being an algebraic problem, TI (or rather, proving that two tensors are non-isomorphic) lends itself very naturally to algebraic and semi-algebraic proof systems, such as the Polynomial Calculus (PC) and Sum of Squares (SoS). For its combinatorial cousin Graph Isomorphism, essentially optimal lower bounds are known for approaches based on PC and SoS (Berkholz & Grohe, SODA '17). Our main results are an Ω(n) lower bound on PC degree or SoS degree for Tensor Isomorphism, and a nontrivial upper bound for testing isomorphism of tensors of bounded rank. We also show that PC cannot perform basic linear algebra in sub-linear degree, such as comparing the rank of two matrices (which is essentially the same as 2-TI), or deriving BA = I from AB = I. As linear algebra is a key tool for understanding tensors, we introduce a strictly stronger proof system, PC+Inv, which allows as derivation rules all substitution instances of the implication AB = I → BA = I. We conjecture that even PC+Inv cannot solve TI in polynomial time either, but leave open getting lower bounds on PC+Inv for any system of equations, let alone those for TI. We also highlight many other open questions about proof complexity approaches to TI. LIPIcs, Vol. 264, 38th Computational Complexity Conference (CCC 2023), pages 4:1-4:40 |
| Databáze: | OpenAIRE |
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