Discrepancy After Adding A Single Set
نویسندگان
چکیده
We show that the hereditary discrepancy of a hypergraph F on n points increases by a factor of at most O(log n) when one adds a new edge to F . Let X be a set of n points. We say that a hypergraph F on X has discrepancy h if h is the smallest integer satisfying the following: There is a coloring χ: X → {−1, +1} such that for every edge S ∈ F , |χ(S)| ≤ h, where we write χ(S) for ∑ x∈S χ(x). The hereditary discrepancy of F is the maximum discrepancy of any restriction of F to a subset Y ⊆ X. Discrepancy and hereditary discrepancy are important notions in combinatorics and discrete geometry; for more information we refer, e.g., to [1] or [2]. Throughout the note, the asymptotic notation is used under the assumption that n → ∞. All logarithms have natural base. We denote by disc(F) and herdisc(F) the discrepancy and the hereditary discrepancy of F , respectively. The following question is a folklore in discrepancy theory (as far as we could find out, it was first asked by V. Sós some years ago): Given a hypergraph F , is it true that the hereditary discrepancy of F increases by at most a constant factor if one adds a new edge to F? As far as we know, there is no published result on this problem, although a polynomial factor can be proved by various arguments. In this note, we prove that adding one edge increases the hereditary discrepancy of F by a multiplicative factor of at most O(log n). Theorem 1 Let X be an n-point set and let F ⊆ 2X satisfy herdisc(F) ≤ h. Then disc(F ∪ {X}) = O(h log n). The following consequence is immediate from the definition of hereditary discrepancy: Corollary 2 Let X be an n-point set and let F ⊆ 2X satisfy herdisc(F) ≤ h. Then for any subset X ′ of X, we have herdisc(F ∪ {X }) = O(h log n).
منابع مشابه
GENETIC AND TABU SEARCH ALGORITHMS FOR THE SINGLE MACHINE SCHEDULING PROBLEM WITH SEQUENCE-DEPENDENT SET-UP TIMES AND DETERIORATING JOBS
This paper introduces the effects of job deterioration and sequence dependent set- up time in a single machine scheduling problem. The considered optimization criterion is the minimization of the makespan (Cmax). For this purpose, after formulating the mathematical model, genetic and tabu search algorithms were developed for the problem. Since population diversity is a very important issue in ...
متن کاملCS 374 : Algorithms in Biology ( Fall 2006 ) Marc A . Schaub Paper reference
Population genetics models are useful for obtaining background expectations about genetic variation. In this work, the authors calibrate such a model using empirical data sets, specifically Single Nucleotide Polymorphism (SNP) data from three populations (West Africa, East Asia and Europe). The authors use a total of 15 measures to compare the simulated data to the empirical observations. For e...
متن کاملMathematical Model for Bi-objective Maximal Hub Covering Problem with Periodic Variations of Parameters
The problem of maximal hub covering as a challenging problem in operation research. Transportation programming seeks to find an optimal location of a set of hubs to reach maximum flow in a network. Since the main structure's parameters of the problem such as origin-destination flows, costs and travel time, change periodically in the real world applications, new issues arise in handling it. In t...
متن کاملThe relationship of coping strategies and performance–goal discrepancy (PGD) with positive and negative effects in sprinter runner of Iranian university students
This study examined the relationship between coping strategies and performance–goal discrepancy (PGD) with positive and negative effects before and after the competition. Sixty-two Iranian male sprinter runners, aged from 21 to 26 years, completed the Brief COPE (Carver, 1997) and the PANAS (Watson, Clark, & Tellegen, 1988) questionnaire two hours before and six hours after the competition. The...
متن کاملA Method for Solving Super-Efficiency Infeasibility by Adding virtual DMUs with Mean Values
Using super-efficiency, with regard to ranking efficient units, is increasing in DEA. However, this model has some problems such as the infeasibility. Thus, this article studies infeasibility of the input-based super-efficiency model (because of the zero inputs and outputs), and presents a solution by adding two virtual DMUs with mean values (one for inputs and one for outputs). Adding virtual ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- Combinatorica
دوره 25 شماره
صفحات -
تاریخ انتشار 2005