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Electronic Colloquium on Computational Complexity

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TR21-153 | 9th November 2021
Ronen Shaltiel, Emanuele Viola

On Hardness Assumptions Needed for "Extreme High-End" PRGs and Fast Derandomization

Revisions: 1

The hardness vs.~randomness paradigm aims to explicitly construct pseudorandom generators $G:\{0,1\}^r \to \{0,1\}^m$ that fool circuits of size $m$, assuming the existence of explicit hard functions. A ``high-end PRG'' with seed length $r=O(\log m)$ (implying BPP=P) was achieved in a seminal work of Impagliazzo and Wigderson (STOC 1997), assuming \textsc{the ... more >>>


TR21-152 | 8th November 2021
Gal Arnon, Tomer Grossman

Min-Entropic Optimality

We introduce the notion of \emph{Min-Entropic Optimality} thereby providing a framework for arguing that a given algorithm computes a function better than any other algorithm. An algorithm is $k(n)$ Min-Entropic Optimal if for every distribution $D$ with min-entropy at least $k(n)$, its expected running time when its input is drawn ... more >>>


TR21-151 | 8th November 2021
Irit Dinur, Shai Evra, Ron Livne, Alexander Lubotzky, Shahar Mozes

Locally Testable Codes with constant rate, distance, and locality

Revisions: 1

A locally testable code (LTC) is an error correcting code that has a property-tester. The tester reads $q$ bits that are randomly chosen, and rejects words with probability proportional to their distance from the code. The parameter $q$ is called the locality of the tester.

LTCs were initially studied as ... more >>>



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