On the complexity of isomorphism problems for tensors, groups, and polynomials IV: linear-length reductions and their applications
arxiv(2023)
摘要
Many isomorphism problems for tensors, groups, algebras, and polynomials were
recently shown to be equivalent to one another under polynomial-time
reductions, prompting the introduction of the complexity class TI (Grochow
Qiao, ITCS '21; SIAM J. Comp., '23). Using the tensorial viewpoint, Grochow
Qiao (CCC '21) then gave moderately exponential-time search- and
counting-to-decision reductions for a class of p-groups. A significant issue
was that the reductions usually incurred a quadratic increase in the length of
the tensors involved. When the tensors represent p-groups, this corresponds
to an increase in the order of the group of the form |G|^Θ(log |G|),
negating any asymptotic gains in the Cayley table model.
In this paper, we present a new kind of tensor gadget that allows us to
replace those quadratic-length reductions with linear-length ones, yielding the
following consequences:
1. If Graph Isomorphism is in P, then testing equivalence of cubic forms in
n variables over F_q, and testing isomorphism of n-dimensional algebras
over F_q, can both be solved in time q^O(n), improving from the
brute-force upper bound q^O(n^2) for both of these.
2. Combined with the |G|^O((log |G|)^5/6)-time isomorphism-test for
p-groups of class 2 and exponent p (Sun, STOC '23), our reductions extend
this runtime to p-groups of class c and exponent p where c
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