arXiv subjects

Alexander Kozachinskiy

Publications and source records attributed to Alexander Kozachinskiy.

42 records · Page 3Linked to original sources

arXiv2020

Multiparty Karchmer-Wigderson Games and Threshold Circuits

We suggest a generalization of Karchmer-Wigderson communication games to the multiparty setting. Our generalization turns out to be tightly connected to circuits consisting of threshold gates. This allows us to obtain new explicit constructions of such circuits for several functions. In particular, we provide an explicit (polynomial-time computable) log-depth monotone formula for Majority function, consisting only of 3-bit majority gates and variables. This resolves a conjecture of Cohen et al. (CRYPTO 2013).

cs.CC↗

arXiv2019

An application of communication complexity, Kolmogorov complexity and extremal combinatorics to parity games

So-called separation automata are in the core of several recently invented quasi-polynomial time algorithms for parity games. An explicit $q$-state separation automaton implies an algorithm for parity games with running time polynomial in $q$. It is open whether a polynomial-state separation automaton exists. A positive answer will lead to a polynomial-time algorithm for parity games, while a negative answer will at least demonstrate impossibility to construct such an algorithm using separation approach. In this work we prove exponential lower bound for a restricted class of separation automata. Our technique combines communication complexity and Kolmogorov complexity. One of our technical contributions belongs to extremal combinatorics. Namely, we prove a new upper bound on the product of sizes of two families of sets with small pairwise intersection.

cs.FL↗

arXiv2018

Recognizing Read-Once Functions from Depth-Three Formulas

Consider the following decision problem: for a given monotone Boolean function $f$ decide, whether $f$ is read-once. For this problem, it is essential how the input function $f$ is represented. Our contribution consists of the following two results. We show that we can test in polynomial-time whether a given expression $C\lor D$ computes a read-once function, provided that $C$ is a read-once monotone CNF and $D$ is a read-once monotone DNF and all the variables of $C$ occur also in $D$ (recall that due to Gurvich, the problem is coNP-complete when $C$ is read-2). The second result states that this is a coNP-complete problem to decide whether the expression $Ψ\land D_n$ computes a read-once function, where $D_n$ is as above and $Ψ$ is the $\bigwedge-\bigvee-\bigwedge$ depth-3 read-once monotone Boolean formula (so that the entire expression $Ψ\land D_n$ is depth-3 read-2). This result improves the result of \cite{elbassioni2011readability} in the depth and the result of \cite{gurvich2010it} in the readability of the input formula.

cs.CC↗

arXiv2018

From expanders to hitting distributions and simulation theorems

Recently, Chattopadhyay et al. (\cite{chattopadhyay2017simulation}) proved that any gadget having so called \emph{hitting distributions} admits deterministic "query-to-communication" simulation theorem. They applied this result to Inner Product, Gap Hamming Distance and Indexing Function. They also demonstrated that previous works used hitting distributions implicitly (\cite{goos2015deterministic} for Indexing Function and \cite{wu2017raz} for Inner Product). In this paper we show that any expander in which any two distinct vertices have at most one common neighbor can be transformed into a gadget possessing good hitting distributions. We demonstrate that this result is applicable to affine plane expanders and to Lubotzky-Phillips-Sarnak construction of Ramanujan graphs . In particular, from affine plane expanders we extract a gadget achieving the best known trade-off between the arity of outer function and the size of gadget. More specifically, when this gadget has $k$ bits on input, it admits a simulation theorem for all outer function of arity roughly $2^{k/2}$ or less (the same was also known for $k$-bit Inner Product, (\cite{chattopadhyay2017simulation})). In addition we show that, unlike Inner Product, underlying hitting distributions in our new gadget are "polynomial-time listable" in the sense that their supports can be written down in time $2^{O(k)}$, i.e, in time polynomial in size of gadget's matrix.

cs.CC↗

arXiv2015

Some Bounds on Communication Complexity of Gap Hamming Distance

In this paper we obtain some bounds on communication complexity of Gap Hamming Distance problem ($\mathsf{GHD}^n_{L, U}$): Alice and Bob are given binary string of length $n$ and they are guaranteed that Hamming distance between their inputs is either $\le L$ or $\ge U$ for some $L < U$. They have to output 0, if the first inequality holds, and 1, if the second inequality holds. In this paper we study the communication complexity of $\mathsf{GHD}^n_{L, U}$ for probabilistic protocols with one-sided error and for deterministic protocols. Our first result is a protocol which communicates $O\left(\left(\frac{s}{U}\right)^\frac{1}{3} \cdot n\log n\right)$ bits and has one-sided error probability $e^{-s}$ provided $s \ge \frac{(L + \frac{10}{n})^3}{U^2}$. Our second result is about deterministic communication complexity of $\mathsf{GHD}^n_{0,\, t}$. Surprisingly, it can be computed with logarithmic precision: $$\mathrm{D}(\mathsf{GHD}^n_{0,\, t}) = n - \log_2 V_2\left(n, \left\lfloor\frac{t}{2}\right\rfloor\right) + O(\log n),$$ where $V_2(n, r)$ denotes the size of Hamming ball of radius $r$. As an application of this result for every $c < 2$ we prove a $Ω\left(\frac{n(2 - c)^2}{p}\right)$ lower bound on the space complexity of any $c$-approximate deterministic $p$-pass streaming algorithm for computing the number of distinct elements in a data stream of length $n$ with tokens drawn from the universe $U = \{1, 2, \ldots, n\}$. Previously that lower bound was known for $c < \frac{3}{2}$ and for $c < 2$ but with larger $|U|$.

cs.CC↗

arXiv2015

On Slepian--Wolf Theorem with Interaction

In this paper we study interactive "one-shot" analogues of the classical Slepian-Wolf theorem. Alice receives a value of a random variable $X$, Bob receives a value of another random variable $Y$ that is jointly distributed with $X$. Alice's goal is to transmit $X$ to Bob (with some error probability $\varepsilon$). Instead of one-way transmission, which is studied in the classical coding theory, we allow them to interact. They may also use shared randomness. We show, that Alice can transmit $X$ to Bob in expected $H(X|Y) + 2\sqrt{H(X|Y)} + O(\log_2\left(\frac{1}{\varepsilon}\right))$ number of bits. Moreover, we show that every one-round protocol $π$ with information complexity $I$ can be compressed to the (many-round) protocol with expected communication about $I + 2\sqrt{I}$ bits. This improves a result by Braverman and Rao \cite{braverman2011information}, where they had $5\sqrt{I}$. Further, we show how to solve this problem (transmitting $X$) using $3H(X|Y) + O(\log_2\left(\frac{1}{\varepsilon}\right))$ bits and $4$ rounds on average. This improves a result of~\cite{brody2013towards}, where they had $4H(X|Y) + O(\log1/\varepsilon)$ bits and 10 rounds on average. In the end of the paper we discuss how many bits Alice and Bob may need to communicate on average besides $H(X|Y)$. The main question is whether the upper bounds mentioned above are tight. We provide an example of $(X, Y)$, such that transmission of $X$ from Alice to Bob with error probability $\varepsilon$ requires $H(X|Y) + Ω\left(\log_2\left(\frac{1}{\varepsilon}\right)\right)$ bits on average.

cs.CC↗