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Related papers: Decompositions of functions based on arity gap

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The authors' previous results on the arity gap of functions of several variables are refined by considering polynomial functions over arbitrary fields. We explicitly describe the polynomial functions with arity gap at least 3, as well as…

Rings and Algebras · Mathematics 2013-06-05 Miguel Couceiro , Erkko Lehtonen , Tamás Waldhauser

Abelian groups are classified by the existence of certain additive decompositions of group-valued functions of several variables with arity gap 2.

Combinatorics · Mathematics 2013-03-29 Miguel Couceiro , Erkko Lehtonen , Tamás Waldhauser

Given an $n$-ary $k-$valued function $f$, $gap(f)$ denotes the minimal number of essential variables in $f$ which become fictive when identifying any two distinct essential variables in $f$. We particularly solve a problem concerning the…

Discrete Mathematics · Computer Science 2010-03-05 Slavcho Shtrakov , Joerg Koppitz

Given an $n$-ary $k-$valued function $f$, $gap(f)$ denotes the essential arity gap of $f$ which is the minimal number of essential variables in $f$ which become fictive when identifying any two distinct essential variables in $f$. In the…

Discrete Mathematics · Computer Science 2013-02-08 Sl. Shtrakov , J. Koppitz

We extend the well-known Shannon decomposition of Boolean functions to more general classes of functions. Such decompositions, which we call pivotal decompositions, express the fact that every unary section of a function only depends upon…

Rings and Algebras · Mathematics 2014-06-10 Jean-Luc Marichal , Bruno Teheux

The aim of this paper is to classify order-preserving functions according to their arity gap. Noteworthy examples of order-preserving functions are so-called aggregation functions. We first explicitly classify the Lov\'asz extensions of…

Rings and Algebras · Mathematics 2016-11-22 Miguel Couceiro , Erkko Lehtonen , Tamás Waldhauser

In product design, a decomposition of the overall product function into a set of smaller, interacting functions is usually considered a crucial first step for any computer-supported design tool. Here, we propose a new approach for the…

Artificial Intelligence · Computer Science 2023-02-10 Philipp Rosenthal , Niels Demke , Frank Mantwill , Oliver Niggemann

We describe an algorithm to decompose rational functions from which we determine the poset of groups fixing these functions.

Number Theory · Mathematics 2008-08-21 John McKay , David Sevilla

A finite subset $M \subset \mathbb{R}^d$ is basic, if for any function $f \colon M \to \mathbb{R}$ there exists a collection of functions $f_1, \ldots, f_d \colon \mathbb{R} \to \mathbb{R}$ such that for each element $(x_1, \ldots, x_d)\in…

Combinatorics · Mathematics 2023-02-03 Khaydar Nurligareev , Ivan Reshetnikov

An inequality for the variance of an additive function defined on random decomposable structures, called assemblies, is established. The result generalizes estimates obtained earlier in the cases of permutations and mappings of a finite set…

Combinatorics · Mathematics 2016-05-16 Eugenijus Manstavicius , Vytautas Stepas

We define the supermodular rank of a function on a lattice. This is the smallest number of terms needed to decompose it into a sum of supermodular functions. The supermodular summands are defined with respect to different partial orders. We…

Combinatorics · Mathematics 2023-05-25 Rishi Sonthalia , Anna Seigal , Guido Montufar

In this paper we present a new class of complexity measures, induced by a new data structure for representing $k$-valued functions (operations), called minor decision diagram. The results are presented in terms of Multi-Valued Logic…

Discrete Mathematics · Computer Science 2016-11-18 Slavcho Shtrakov

The essential variables in a finite function $f$ are defined as variables which occur in $f$ and weigh with the values of that function. The number of essential variables is an important measure of complexity for discrete functions. When…

Computational Complexity · Computer Science 2015-01-05 Sl. Shtrakov , I. Damyanov

Recent works have revealed an essential paradigm in designing loss functions that differentiate individual losses vs. aggregate losses. The individual loss measures the quality of the model on a sample, while the aggregate loss combines…

Machine Learning · Computer Science 2023-07-17 Shu Hu , Xin Wang , Siwei Lyu

We investigate the Boolean functions with essential arity gap 2. We use Full Conjunctive Normal Forms instead of Zhegalkin's polynomials, which allow us to simplify the proofs and to obtain several combinatorial results, concerning the…

Discrete Mathematics · Computer Science 2008-10-13 Slavcho Shtrakov

We review the cumulant decomposition (a way of decomposing the expectation of a product of random variables (e.g. $\mathbb{E}[XYZ]$) into a sum of terms corresponding to partitions of these variables.) and the Wick decomposition (a way of…

Probability · Mathematics 2023-10-11 Chris MacLeod , Evgenia Nitishinskaya , Buck Shlegeris

We propose a functional view of matrix decomposition problems on graphs such as geometric matrix completion and graph regularized dimensionality reduction. Our unifying framework is based on the key idea that using a reduced basis to…

Machine Learning · Computer Science 2021-02-08 Abhishek Sharma , Maks Ovsjanikov

High-dimensional real-world systems can often be well characterized by a small number of simultaneous low-complexity interactions. The analysis of variance (ANOVA) decomposition and the anchored decomposition are typical techniques to find…

Numerical Analysis · Mathematics 2024-03-29 Fatima Antarou Ba , Oleh Melnyk , Christian Wald , Gabriele Steidl

We prove a conjecture of Denef on parameterized $p$-adic analytic integrals using an analytic cell decomposition theorem, which we also prove in this paper. This cell decomposition theorem describes piecewise the valuation of analytic…

Number Theory · Mathematics 2007-05-23 Raf Cluckers

A common problem in various applications is the additive decomposition of the output of a function with respect to its input variables. Functions with binary arguments can be axiomatically decomposed by the famous Shapley value. For the…

Mathematical Finance · Quantitative Finance 2023-03-15 Marcus C Christiansen
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