تقرير
On the algebraic proof complexity of Tensor Isomorphism
| العنوان: | On the algebraic proof complexity of Tensor Isomorphism |
|---|---|
| المؤلفون: | Galesi, Nicola, Grochow, Joshua A., Pitassi, Toniann, She, Adrian |
| سنة النشر: | 2023 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Computer Science - Computational Complexity, Computer Science - Data Structures and Algorithms, Computer Science - Logic in Computer Science, 03F20, 15A69, 68Q25, 13P15, F.2.2, F.4.1 |
| الوصف: | 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 $\Omega(n)$ 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, 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 $AB=I \rightarrow BA=I$. 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. Comment: Full version of extended abstract to appear in CCC '23 |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2305.19320 |
| رقم الأكسشن: | edsarx.2305.19320 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |