SearcharxivSearch

arXiv · 1412.5889

Dense Testers: Almost Linear Time and Locally Explicit Constructions

Abstract

We develop a new notion called $(1-\epsilon)$-tester for a set $M$ of functions $f:A\to C$. A $(1-\epsilon)$-tester for $M$ maps each element $a\in A$ to a finite number of elements $B_a=\{b_1,\ldots,b_t\}\subset B$ in a smaller sub-domain $B\subset A$ where for every $f\in M$ if $f(a)\not=0$ then $f(b)\not=0$ for at least $(1-\epsilon)$ fraction of the elements $b$ of $B_a$. I.e., if $f(a)\not=0$ then $\Pr_{b\in B_a}[f(b)\not=0]\ge 1-\epsilon$. The {\it size} of the $(1-\epsilon)$-tester is $\max_{a\in A}|B_a|$ and the goal is to minimize this size, construct $B_a$ in deterministic almost linear time and access and compute each map in poly-log time. We use tools from elementary algebra and algebraic function fields to build $(1-\epsilon)$-testers of small size in deterministic almost linear time. We also show that our constructions are locally explicit, i.e., one can find any entry in the construction in time poly-log in the size of the construction and the field size. We also prove lower bounds that show that the sizes of our testers and the densities are almost optimal. Testers were used in [Bshouty, Testers and its application, ITCS 2014] to construct almost optimal perfect hash families, universal sets, cover-free families, separating hash functions, black box identity testing and hitting sets. The dense testers in this paper shows that such constructions can be done in almost linear time, are locally explicit and can be made to be dense.

Explore related subjects

Keep this discovery

BibTeXRIS

Nader H. Bshouty. 2014-12-18. Dense Testers: Almost Linear Time and Locally Explicit Constructions. https://arxiv.org/abs/1412.5889

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related papers

An FPTAS for Two-Machine Open-Shop Scheduling with a Single Unavailability Interval

We consider the two-machine open-shop scheduling problem in which one machine is unavailable during a fixed interval. We study the resumable setting: an operation interrupted by the unavailability interval may resume, without penalty, when the machine becomes available. The objective is to minimize the makespan. Although the problem is NP-hard and several approximation algorithms are known, whether it admits a fully polynomial-time approximation scheme (FPTAS) has remained open for two decades. We resolve this question affirmatively by giving the first FPTAS, thereby strengthening the previously known polynomial-time approximation scheme (PTAS). As an intermediate result, we develop a new pseudo-polynomial dynamic program with seven state dimensions, improving on the ten-dimensional formulation in the literature.

cs.DM

Generalized Graph Search Trees

Graph search algorithms and their corresponding graph search trees are commonly used in algorithmic graph theory. In recent years, the recognition problem of these graph search trees has received significant attention. So far, the research has focused on two types of search trees: first-in trees that behave like BFS-trees and last-in trees that behave like DFS-trees. The search tree paradigms differ from each other by the parent a vertex is connected to. In first-in trees, it is the first visited neighbor, while in last-in trees it is the last neighbor visited before that vertex. Here, we will generalize these concepts of graph search trees by allowing every preceding neighbor of a vertex to be the parent. We study the complexity of the recognition problem of these generalized graph search trees. We present NP-completeness proofs for most searches. We also show that the problem is trivial for Generic Search and polynomial-time solvable for several searches on bipartite graphs and chordal graphs. We also study the question how fixing the start vertex influences the complexity of the problem.

cs.DM

The exact asymptotic constant in the metric dimension of Jaccard space

Let $X$ be a finite set with $|X|=n$ and let $\mathrm{Jac}(a,b)=|a\,\triangle\, b|/|a\cup b|$ be the Jaccard distance on the power set $2^X$. Lladser and Paradise recently proved that the metric dimension of $(2^X,\mathrm{Jac})$ is $\Theta(n/\ln n)$, with the constant left open; their bounds are $(\ln 2)\,n/\ln n\lesssim \beta(2^X,\mathrm{Jac})\lesssim 2\ln(2e)\,n/\ln n$. We determine the constant: \[ \beta(2^X,\mathrm{Jac})=\frac{2n}{\log_2 n}\,(1+o(1))=(2\ln 2)\,\frac{n}{\ln n}\,(1+o(1)). \] The proof identifies the problem, on each ``slice'' of subsets of fixed cardinality, with the Erd\H{o}s--R\'enyi coin-weighing problem for a spring scale (the problem of \emph{detecting matrices}). The lower bound is the Erd\H{o}s--R\'enyi entropy argument applied to the middle slice; the upper bound follows from the explicit detecting families of Lindstr\"om and of Cantor and Mills, augmented by a single extra landmark that reveals cardinality.

cs.DM