Derandomization from Algebraic Hardness

نویسندگان

چکیده

A hitting-set generator (HSG) is a polynomial map $G:\mathbb{F}^k \to \mathbb{F}^n$ such that for all $n$-variate polynomials $C$ of small enough circuit size and degree, if nonzero, then $C\circ G$ nonzero. In this paper, we give new construction an HSG assuming have explicit sufficient hardness. Formally, prove the following over any field characteristic zero: Let $k\in \mathbb{N}$ $\delta > 0$ be arbitrary constants. Suppose $\{P_d\}_{d\in \mathbb{N}}$ family $k$-variate $\operatorname{deg} P_d = d$ $P_d$ requires algebraic circuits $d^\delta$. Then, there are hitting sets $\mathsf{VP}$. This first in setting yields complete derandomization identity testing (PIT) general from suitable hardness assumption. As direct consequence, show even saving single point trivial explicit, exponential sized constant-variate low individual degree which computable by circuits, implies deterministic time algorithm PIT. More precisely, following: every $s$ large enough, set at most $((s+1)^k - 1)$ class $s^\delta$ circuits. Then $\operatorname{poly}(s)$ $s$-variate polynomials, $s$, As strengthening $\tau$-Conjecture Shub Smale true.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

The Complexity of Hardness Amplification and Derandomization

This thesis studies the interplay between randomness and computation. We investigate this interplay from the perspectives of hardness amplification and derandomization. Hardness amplification is the task of taking a function that is hard to compute on some input or on some fraction of inputs, and producing a new function that is very hard on average, i.e. hard to compute on a fraction of inputs...

متن کامل

Hardness as randomness: a survey of universal derandomization

We survey recent developments in the study of probabilistic complexity classes. While the evidence seems to support the conjecture that probabilism can be deterministically simulated with relatively low overhead, i.e., that P = BPP , it also indicates that this may be a difficult question to resolve. In fact, proving that probalistic algorithms have non-trivial deterministic simulations is basi...

متن کامل

Worst-Case Hardness Suffices for Derandomization: A New Method for Hardness-Randomness Trade-Offs

Up to now, the known derandomization methods for BPP have been derived assuming the existence of an ExP function that has a "hard" average-case circuit complexity. In this paper we instead present the first construction of a de-randomization method for BOP that relies on the existence of an EXP function that is hard only in the worst-case. The construction is based on a new method that departs ...

متن کامل

On Circuit Lower Bounds from Derandomization

We present an alternate proof of the result by Kabanets and Impagliazzo (2004) that derandomizing polynomial identity testing implies circuit lower bounds. Our proof is simpler, scales better, and yields a somewhat stronger result than the original argument. ACM Classification: F.1.2, F.1.3 AMS Classification: 68Q10, 68Q15, 68Q17

متن کامل

Uniform Derandomization from Pathetic Lower Bounds

The notion of probabilistic computation dates back at least to Turing, who also wrestled with the practical problems of how to implement probabilistic algorithms on machines with, at best, very limited access to randomness. A more recent line of research, known as derandomization, studies the extent to which randomness is superfluous. A recurring theme in the literature on derandomization is th...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: SIAM Journal on Computing

سال: 2022

ISSN: ['1095-7111', '0097-5397']

DOI: https://doi.org/10.1137/20m1347395