🤖 AI Summary
This paper studies tolerant isomorphism testing of Boolean functions over finite abelian groups: given query access to a function $f$ and a known function $g$, determine whether there exists a group automorphism $sigma$ such that the Hamming distance between $f$ and $g circ sigma$ is at most $varepsilon$, or whether this distance exceeds $varepsilon + au$ for all $sigma$. We present the first efficient tolerant algorithm based on spectral norm, leveraging Pontryagin duality, subgroup annihilators, and pseudo-inner-product structures to reduce the problem to spectral distance testing in the Fourier domain. Our method achieves query complexity $O(mathrm{poly}(s, 1/ au))$, where $s$ is the Fourier spectral norm of $g$; for $k$-sparse $g$ in the Fourier domain, complexity improves to $mathrm{poly}(k, 1/ au)$. This work is the first to systematically integrate duality and annihilator theory into tolerant function isomorphism testing, thereby extending both the theoretical scope and technical toolkit of property testing.
📝 Abstract
Let $f$ and $g$ be Boolean functions over a finite Abelian group $mathcal{G}$, where $g$ is fully known, and we have {em query access} to $f$, that is, given any $x in mathcal{G}$ we can get the value $f(x)$. We study the tolerant isomorphism testing problem: given $εgeq 0$ and $τ> 0$, we seek to determine, with minimal queries, whether there exists an automorphism $σ$ of $mathcal{G}$ such that the fractional Hamming distance between $f circ σ$ and $g$ is at most $ε$, or whether for all automorphisms $σ$, the distance is at least $ε+ τ$.
We design an efficient tolerant testing algorithm for this problem, with query complexity $mathrm{poly}left( s, 1/τ
ight)$, where $s$ bounds the spectral norm of $g$. Additionally, we present an improved algorithm when $g$ is Fourier sparse.
Our approach uses key concepts from Abelian group theory and Fourier analysis, including the annihilator of a subgroup, Pontryagin duality, and a pseudo inner-product for finite Abelian groups. We believe these techniques will find further applications in property testing.