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In this paper we prove a conjecture by Wocjan, Elphick and Anekstein (2018) which upper bounds the sum of the squares of the positive (or negative) eigenvalues of the adjacency matrix of a graph by an expression that behaves monotonically…

Combinatorics · Mathematics 2024-11-14 Gabriel Coutinho , Thomás Jung Spier , Shengtong Zhang

The \textit{generalized Tur\'an number} $\mathrm{ex}(n, T, F)$ is the maximum possible number of copies of $T$ in an $F$-free graph on $n$ vertices for any two graphs $T$ and $F$. For the book graph $B_t$, there is a close connection…

Combinatorics · Mathematics 2026-02-25 Jun Gao , Zhuo Wu , Yisai Xue

The problem of minimizing a polynomial over the standard simplex is one of the basic NP-hard nonlinear optimization problems --- it contains the maximum clique problem in graphs as a special case. It is known that the problem allows a…

Optimization and Control · Mathematics 2014-10-29 Etienne de Klerk , Monique Laurent , Zhao Sun

In the general submatrix detection problem, the task is to detect the presence of a small $k \times k$ submatrix with entries sampled from a distribution $\mathcal{P}$ in an $n \times n$ matrix of samples from $\mathcal{Q}$. This…

Statistics Theory · Mathematics 2019-06-04 Matthew Brennan , Guy Bresler , Wasim Huleihel

We show that numerical approximations of Kolmogorov complexity (K) applied to graph adjacency matrices capture some group-theoretic and topological properties of graphs and empirical networks ranging from metabolic to social networks. That…

Information Theory · Computer Science 2015-06-16 Hector Zenil , Fernando Soler-Toscano , Kamaludin Dingle , Ard A. Louis

Due to the possible lack of primal-dual-type error bounds, the superlinear convergence for the Karush-Kuhn-Tucker (KKT) residues of the sequence generated by augmented Lagrangian method (ALM) for solving convex composite conic programming…

Optimization and Control · Mathematics 2017-06-28 Ying Cui , Defeng Sun , Kim-Chuan Toh

The $k$-truss, introduced by Cohen (2005), is a graph where every edge is incident to at least $k$ triangles. This is a relaxation of the clique. It has proved to be a useful tool in identifying cohesive subnetworks in a variety of…

Combinatorics · Mathematics 2023-10-17 Paul Burkhardt , Vance Faber , David G. Harris

A cactus is a connected graph in which each edge is contained in at most one cycle. We generalize the concept of cactus graphs, i.e., a $k$-cactus is a connected graph in which each edge is contained in at most $k$ cycles where $k\ge 1$. It…

Combinatorics · Mathematics 2023-09-12 Licheng Zhang , Yuanqiu Huang

Consider a higher-rank graph of rank k. Both the Cuntz-Krieger algebra and the Toeplitz-Cuntz-Krieger algebra of the graph carry natural gauge actions of the torus T^k, and restricting these gauge actions to one-parameter subgroups of T^k…

Operator Algebras · Mathematics 2013-01-01 Astrid an Huef , Marcelo Laca , Iain Raeburn , Aidan Sims

We study the Sum of Squares (SoS) Hierarchy with a view towards combinatorial optimization. We survey the use of the SoS hierarchy to obtain approximation algorithms on graphs using their spectral properties. We present a simplified proof…

Computational Complexity · Computer Science 2022-09-02 Goutham Rajendran

Generalized splines are an algebraic combinatorial framework that generalizes and unifies various established concepts across different fields, most notably the classical notion of splines and the topological notion of GKM theory. The…

Combinatorics · Mathematics 2023-05-16 Portia Anderson , Jacob P. Matherne , Julianna Tymoczko

The composite $L_q~(0<q<1)$ minimization problem over a general polyhedron has received various applications in machine learning, wireless communications, image restoration, signal reconstruction, etc. This paper aims to provide a…

Optimization and Control · Mathematics 2014-07-29 Ya-Feng Liu , Shiqian Ma , Yu-Hong Dai , Shuzhong Zhang

For mathematical programs with complementarity constraints (MPCC), we study the stability properties of their Scholtes regularization. Our goal is to relate nondegenerate C-stationary points of MPCC with nondegenerate Karush-Kuhn-Tucker…

Optimization and Control · Mathematics 2025-08-06 Vladimir Shikhman , Sebastian Lämmel

We establish the existence of common fixed points for $C_q$-commuting self-mappings satisfying a generalized Gregus-type inequality with quadratic terms in $q$-starshaped subsets of normed linear spaces. Our framework extends classical…

General Mathematics · Mathematics 2025-07-08 Babu G. V. R. , Alemayehu Negash , Meaza Bogale

Clique counting is a fundamental task in network analysis, and even the simplest setting of $3$-cliques (triangles) has been the center of much recent research. Getting the count of $k$-cliques for larger $k$ is algorithmically challenging,…

Data Structures and Algorithms · Computer Science 2020-01-22 Shweta Jain , C. Seshadhri

We consider the convex optimization problem $\min \{f(x) : g_j(x)\leq 0, j=1,...,m\}$ where $f$ is convex, the feasible set K is convex and Slater's condition holds, but the functions $g_j$ are not necessarily convex. We show that for any…

Optimization and Control · Mathematics 2009-11-09 Jean B. Lasserre

We prove a Lefschetz formula for general simple graphs which equates the Lefschetz number L(T) of an endomorphism T with the sum of the degrees i(x) of simplices in G which are fixed by T. The degree i(x) of x with respect to T is defined…

Dynamical Systems · Mathematics 2012-06-06 Oliver Knill

The generic alignment conjecture states that for almost every initial data on the torus solutions to the Cucker-Smale system with a strictly local communication align to the common mean velocity. In this note we present a partial resolution…

Dynamical Systems · Mathematics 2025-08-12 Roman Shvydkoy

We consider the (exact, minimum) $k$-cut problem: given a graph and an integer $k$, delete a minimum-weight set of edges so that the remaining graph has at least $k$ connected components. This problem is a natural generalization of the…

Data Structures and Algorithms · Computer Science 2019-10-08 Jason Li

Spectral clustering has become one of the most widely used clustering techniques when the structure of the individual clusters is non-convex or highly anisotropic. Yet, despite its immense popularity, there exists fairly little theory about…

Machine Learning · Statistics 2019-04-16 Shuyang Ling , Thomas Strohmer