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Causality inference is prone to spurious causal interactions, due to the substantial confounders in a complex system. While many existing methods based on the statistical methods or dynamical methods attempt to address misidentification…

Machine Learning · Computer Science 2024-08-13 Jinling Yan , Shao-Wu Zhang , Chihao Zhang , Weitian Huang , Jifan Shi , Luonan Chen

Characterizing the solution sets in a problem by closedness under operations is recognized as one of the key aspects of algorithm development, especially in constraint satisfaction. An example from the Boolean satisfiability problem is that…

Data Structures and Algorithms · Computer Science 2024-01-15 Kei Kimura , Kazuhisa Makino , Shota Yamada , Ryo Yoshizumi

The paper deals with the computation of the rank and the identifiability of a specific ternary form. Often, one knows some short Waring decomposition of a given form, and the problem is to determine whether the decomposition is minimal and…

Algebraic Geometry · Mathematics 2022-03-08 Elena Angelini , Luca Chiantini

Polynomial Systems, or at least their algorithms, have the reputation of being doubly-exponential in the number of variables [Mayr and Mayer, 1982], [Davenport and Heintz, 1988]. Nevertheless, the Bezout bound tells us that that number of…

Symbolic Computation · Computer Science 2016-07-19 James H. Davenport , Matthew England

Waring's problem has a long history in additive number theory. In its original form it deals with the representability of every positive integer as sum of $k$-th powers with integer $k$. Instead of these powers we deal with…

Number Theory · Mathematics 2026-01-16 Manfred G. Madritsch

We discuss the classification of strongly regular vertex operator algebras (VOAs) with exactly three simple modules whose character vector satisfies a monic modular linear differential equation with irreducible monodromy. Our Main Theorem…

Quantum Algebra · Mathematics 2020-08-05 Cameron Franc , Geoffrey Mason

General error locator polynomials are polynomials able to decode any correctable syndrome for a given linear code. Such polynomials are known to exist for all cyclic codes and for a large class of linear codes. We provide some decoding…

Commutative Algebra · Mathematics 2016-04-01 Chiara Marcolla , Emmanuela Orsini , Massimiliano Sala

We consider higher secant varieties to Veronese varieties. Most points on the r-th secant variety are represented by a finite scheme of length r contained in the Veronese variety --- in fact, for generic point, it is just a union of r…

Algebraic Geometry · Mathematics 2014-03-07 Weronika Buczyńska , Jarosław Buczyński

We formalize the Wu-Ritt characteristic set method for the triangular decomposition of polynomial systems in the Lean 4 theorem prover. Our development includes the core algebraic notions of the method, such as polynomial initials, orders,…

Commutative Algebra · Mathematics 2026-04-21 Yuxuan Xiao , Hao Shen , Junyu Guo , Dingkang Wang , Lihong Zhi

We show that the decidability of an amplification of Hilbert's Tenth Problem in three variables implies the existence of uncomputably large integral points on certain algebraic curves. We obtain this as a corollary of a new positive…

Number Theory · Mathematics 2007-05-23 J. Maurice Rojas

This is a straightforward introduction to the properties of polynomials in many variables that do not vanish in the open upper half plane. Such polynomials generalize many of the well-known properties of polynomials with all real roots.

Classical Analysis and ODEs · Mathematics 2007-11-27 Steve Fisk

In this paper we compute the Waring rank of any polynomial of the form F=M_1+...+M_r, where the M_i are pairwise coprime monomials, i.e., GCD(M_i,M_j)=1 for i not j. In particular, we determine the Waring rank of any monomial. As an…

Commutative Algebra · Mathematics 2012-04-18 Enrico Carlini , Maria Virginia Catalisano , Anthony V. Geramita

The purpose of this paper is to relate the variety parameterizing completely decomposable homogeneous polynomials of degree $d$ in $n+1$ variables on an algebraically closed field, called $\Split_{d}(\PP n)$, with the Grassmannian of $n-1$…

Algebraic Geometry · Mathematics 2011-11-28 E. Arrondo , A. Bernardi

Causal representation learning aims to unveil latent high-level causal representations from observed low-level data. One of its primary tasks is to provide reliable assurance of identifying these latent causal models, known as…

Machine Learning · Computer Science 2024-12-02 Yuhang Liu , Zhen Zhang , Dong Gong , Mingming Gong , Biwei Huang , Anton van den Hengel , Kun Zhang , Javen Qinfeng Shi

Let f be a newform of weight at least 3 with Fourier coefficients in a number field K. We show that the universal deformation ring of the mod lambda Galois representation associated to f is unobstructed, and thus isomorphic to a power…

Number Theory · Mathematics 2007-05-23 Tom Weston

In this paper, the result of applying iterative univariate resultant constructions to multivariate polynomials is analyzed. We consider the input polynomials as generic polynomials of a given degree and exhibit explicit decompositions into…

Symbolic Computation · Computer Science 2008-10-29 Laurent Busé , Bernard Mourrain

A class of n-ary Poisson structures of constant rank is indicated. Then, one proves that the ternary Poisson brackets are exactly those which are defined by a decomposable 3-vector field. The key point is the proof of a lemma which tells…

Symplectic Geometry · Mathematics 2014-11-18 Peter W. Michor , Izu Vaisman

Let $X\subset \mathbb {P}^r$ be an integral and non-degenerate variety. For any $q\in \mathbb {P}^r$ let $r_X(q)$ be its $X$-rank and $\mathcal {S} (X,q)$ the set of all finite subsets of $X$ such that $|S|=r_X(q)$ and $q\in \langle…

Algebraic Geometry · Mathematics 2019-03-26 Edoardo Ballico

We study elements of second order linear recurrence sequences $(G_n)_{n= 0}^{\infty}$ of polynomials in $\mathbb{C}[x]$ which are decomposable, i.e. representable as $G_n=g\circ h$ for some $g, h\in \mathbb{C}[x]$ satisfying…

Number Theory · Mathematics 2017-03-10 Clemens Fuchs , Christina Karolus , Dijana Kreso

Many real-world decision-making tasks require learning causal relationships between a set of variables. Traditional causal discovery methods, however, require that all variables are observed, which is often not feasible in practical…

Methodology · Statistics 2023-06-27 Raj Agrawal , Chandler Squires , Neha Prasad , Caroline Uhler