Randomized polynomial-time equivalence between determinant and trace-IMM equivalence tests
Janaky Murthy, Vineet Nair, Chandan Saha

TL;DR
This paper establishes a randomized polynomial-time equivalence between the complexity of testing polynomial equivalence for determinant, trace-IMM, and related tensor isomorphism problems, connecting several fundamental algebraic tasks.
Contribution
It proves that equivalence testing for determinant, trace-IMM, and full matrix algebra isomorphism are randomized polynomial-time equivalent, unifying their complexity classes.
Findings
Equivalence testing for Det and Tr-IMM is randomized polynomial-time reducible.
Full matrix algebra isomorphism reduces to tensor isomorphism for matrix multiplication tensors.
Determinant, trace-IMM, and FMAI problems are all polynomial-time equivalent under randomness.
Abstract
Equivalence testing for a polynomial family {g_m} over a field F is the following problem: Given black-box access to an n-variate polynomial f(x), where n is the number of variables in g_m, check if there exists an A in GL(n,F) such that f(x) = g_m(Ax). If yes, then output such an A. The complexity of equivalence testing has been studied for a number of important polynomial families, including the determinant (Det) and the two popular variants of the iterated matrix multiplication polynomial: IMM_{w,d} (the (1,1) entry of the product of d many w w symbolic matrices) and Tr-IMM_{w,d} (the trace of the product of d many w w symbolic matrices). The families Det, IMM and Tr-IMM are VBP-complete, and so, in this sense, they have the same complexity. But, do they have the same equivalence testing complexity? We show that the answer is 'yes' for Det and Tr-IMM (modulo the use…
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