Some optimal inapproximability results
Journal of the ACM (JACM)
Boolean functions whose Fourier transform is concentrated on the first two levels
Advances in Applied Mathematics
Discrete Applied Mathematics
Algorithms with large domination ratio
Journal of Algorithms
On the advantage over a random assignment
Random Structures & Algorithms
Parameterized Complexity Theory (Texts in Theoretical Computer Science. An EATCS Series)
Parameterized Complexity Theory (Texts in Theoretical Computer Science. An EATCS Series)
Some topics in analysis of boolean functions
STOC '08 Proceedings of the fortieth annual ACM symposium on Theory of computing
The influence of variables on Boolean functions
SFCS '88 Proceedings of the 29th Annual Symposium on Foundations of Computer Science
Parameterizing above or below guaranteed values
Journal of Computer and System Sciences
A probabilistic approach to problems parameterized above or below tight bounds
Journal of Computer and System Sciences
Journal of Computer and System Sciences
Solving MAX-r-SAT Above a Tight Lower Bound
Algorithmica
Systems of linear equations over F2 and problems parameterized above average
SWAT'10 Proceedings of the 12th Scandinavian conference on Algorithm Theory
Parameterized Complexity
Constraint satisfaction problems parameterized above or below tight bounds: a survey
The Multivariate Algorithmic Revolution and Beyond
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A function f:{-1,1}^n-R is called pseudo-Boolean. It is well-known that each pseudo-Boolean function f can be written as f(x)=@?"I"@?"Ff@?(I)@g"I(x), where F@?{I:I@?[n]}, [n]={1,2,...,n}, @g"I(x)=@?"i"@?"Ix"i and f@?(I) are non-zero reals. The degree of f is max{|I|:I@?F} and the width of f is the minimum integer @r such that every i@?[n] appears in at most @r sets in F. For i@?[n], let x"i be a random variable taking values 1 or -1 uniformly and independently from all other variables x"j, ji. Let x=(x"1,...,x"n). The p-norm of f is @?f@?"p=(E[|f(x)|^p])^1^/^p for any p=1. It is well-known that @?f@?"q=@?f@?"p whenever qp=1. However, the higher norm can be bounded by the lower norm times a coefficient not directly depending on f: if f is of degree d and qp1 then @?f@?"q@?(q-1p-1)^d^/^2@?f@?"p. This inequality is called the Hypercontractive Inequality. We show that one can replace d by @r in the Hypercontractive Inequality for each qp=2 as follows: @?f@?"q@?((2r)!@r^r^-^1)^1^/^(^2^r^)@?f@?"p, where r=@?q/2@?. For the case q=4 and p=2, which is important in many applications, we prove a stronger inequality: @?f@?"4@?(2@r+1)^1^/^4@?f@?"2.