Connected hyperplanes in binary matroids

AbstractFor a 3-connected binary matroid M, let dimA(M) be the dimension of the subspace of the cocycle space spanned by the non-separating cocircuits of M avoiding A, where A⊆E(M). When A=∅, Bixby and Cunningham, in 1979, showed that dimA(M)=r(M). In 2004, when |A|=1, Lemos proved that dimA(M)=r(M)-1. In this paper, we characterize the 3-connected binary matroids having a pair of elements that meets every non-separating cocircuit. Using this result, we show that 2dimA(M)⩾r(M)-3, when M is regular and |A|=2. For |A|=3, we exhibit a family of cographic matroids with a 3-element set intersecting every non-separating cocircuit. We also construct the matroids that attains McNulty and Wu’s bound for the number of non-separating cocircuits of a simple and cosimple connected binary matroid

Fan-extensions in fragile matroids

If S is a set of matroids, then the matroid M is S-fragile if, for every element e in E(M), either M\e or M/e has no minor isomorphic to a member of S. Excluded-minor characterizations often depend, implicitly or explicitly, on understanding classes of fragile matroids. In certain cases, when F is a minor-closed class of S-fragile matroids, and N is in F, the only members of F that contain N as a minor are obtained from N by increasing the length of fans. We prove that if this is the case, then we can certify it with a finite case-analysis. The analysis involves examining matroids that are at most two elements larger than N.Comment: Small revisions and correction

TWO CLASSIFICATION PROBLEMS IN MATROID THEORY

Matroids are a modern type of synthetic geometry in which the behavior of points, lines, planes, and higher-dimensional spaces are governed by combinatorial axioms. In this paper we describe our work on two well-known classification problems in matroid theory: determine all binary matroids M such that for every element e, either deleting the element ( ) or contracting the element ( ) is regular; and determine all binary matroids M having an element e such that, both and are regular

Matroid Connectivity.

This dissertation has three parts. The first part, Chapter 1, considers the coefficient b\sb{ij}(M) of x\sp{i}y\sp{j} in the Tutte polynomial of a connected matroid M. The main result characterizes, for each i and j, the minor-minimal such matroids for which b\sb{ij}(M)\u3e0. One consequence of this characterization is that b\sb{11}(M)\u3e0 if and only if the two-wheel is a minor of M. Similar results are obtained for other values of i and j. These results imply that if M is simple and representable over $GF(q),$ then there are coefficients of its Tutte polynomial which count the flats of M that are projective spaces of specified rank. Similarly, for a simple graphic matroid $M(G),$ there are coefficients that count the number of cliques of each size contained in G. The second part, Chapter 2, generalizes a graph result of Mader by proving that if f is an element of a circuit C of a 3-connected matroid M and $M\\ e$ is not 3-connected for each $e\in C-\{f\},$ then C meets a triad of M. Several consequences of this result are proved. One of these generalizes a graph result of Wu. The others provide 3-connected analogues of 2-connected matroid results of Oxley. The third part, Chapters 3-5, involves a decomposition of 3-connected binary matroids based on 3-separations and three-sums. The dual of this decomposition is a direct generalization of a decomposition due to Coullard, Gardner, and Wagner for 3-connected graphs. In Chapter 3, we define the decomposition and prove that minimal such decompositions are unique. In Chapter 4, the components of this decomposition are characterized. In Chapter 5, it is shown that, when restricted to contraction-minimally 3-connected binary matroids, the components that are not vertically 4-connected are wheels, duals of twirls, or binary spikes

Mathematical programming based approaches for classes of complex network problems : economical and sociological applications

The thesis deals with the theoretical and practical study of mathematical programming methodologies to the analysis complex networks and their application in economic and social problems. More specifically, it applies models and methods for solving linear and integer programming problems to network models exploiting the matrix structure of such models, resulting in efficient computational procedures and small processing time. As a consequence, it allows the study of larger and more complex networks models that arise in many economical and sociological applications. The main efforts have been addressed to the development of a rigorous mathematical programming based framework, which is able to capture many classes of complex network problems. Such a framework involves a general and flexible modeling approach, based on linear and integer programmin, as well as a collection of efficient probabilistic procedures to deal with these models. The computer implementation has been carried out by high level programming languages, such as Java, MatLab, R and AMPL. The final chapter of the thesis introduced an extension of the analyzed model to the case of microeconomic interaction, providing a fruitful mathematical linkage between its optimization-like properties and its multi-agents properties. The theoretical and practical use of optimization methods represents the trait-de-union of the different chapters. The overall structure of the thesis manuscript contains three parts: Part I: The fine-grained structure of complex networks: theories, models and methods; Chapter 1 and Chapter 2. Part II: Mathematical Programming based approaches for random models of network formation; Chapter 3, Chapter 4 and Chapter 5. Part III: Strategic models of network formation. Chapter 6. Results of this research have generated four working papers in quality scientific journals: one has been accepted and three are under review. Some results have been also presented in four international conferences.La tesis aborda el estudio teórico y práctico de las metodologías de programación matemática para el análisis de redes complejas y su aplicación a problemas económicos y sociales. Más específicamente, se aplica modelos y métodos para resolver problemas de programación lineal y de programación lineal entera explotando las estructuras matriciales de tales modelos, lo que resulta en procedimientos computacionales eficientes y bajo coste de procesamiento. Como consecuencia de ello, las metodologías propuestas permiten el estudio de modelos complejos de gran dimensión, para redes complejas que surgen en muchas aplicaciones económicas y sociológicas. Los principales esfuerzos se han dirigido al desarrollo de un marco teórico basado en la programación matemática, que es capaz de capturar muchas clases de problemas de redes complejas. Dicho marco teórico envuelve un sistema general y flexible de modelado y una colección de procedimientos probabilísticos para solucionar eficientemente dichos modelos, basados en la programación linear y entera. Las implementaciones informáticas se han llevado a cabo mediante lenguajes de programación de alto nivel, como Java, Matlab, R y AMPL. El último capítulo de la tesis introduce una extensión de los modelos analizados, para el caso de la interacción microeconómica, con el objetivo de establecer un nexo metodológico entre sus propiedades de optimización y sus propiedades multi-agentes. El uso teórico y práctico de los métodos de optimización representa el elemento de conjunción de los distintos capítulos. Parte I: The fine-grained structure of complex networks: theories, models and methods; - Capitulo 1 y Capitulo 2. Parte II: Mathematical Programming based approaches for random models of network formation; - Capitulo 3, Capitulo 4 y Capitulo 5. Parte III: Strategic models of network formation. - Capitulo 6. Los resultados de esta investigación han generado cuatro papers en revistas científicas indexadas: uno ha sido aceptado, tres están en revisión. Algunos resultados han sido también presentados en cuatro conferencias internacionale

LIPIcs, Volume 261, ICALP 2023, Complete Volume

LIPIcs, Volume 261, ICALP 2023, Complete Volum

Geometric, Feature-based and Graph-based Approaches for the Structural Analysis of Protein Binding Sites : Novel Methods and Computational Analysis

In this thesis, protein binding sites are considered. To enable the extraction of information from the space of protein binding sites, these binding sites must be mapped onto a mathematical space. This can be done by mapping binding sites onto vectors, graphs or point clouds. To finally enable a structure on the mathematical space, a distance measure is required, which is introduced in this thesis. This distance measure eventually can be used to extract information by means of data mining techniques

18th IEEE Workshop on Nonlinear Dynamics of Electronic Systems: Proceedings

Proceedings of the 18th IEEE Workshop on Nonlinear Dynamics of Electronic Systems, which took place in Dresden, Germany, 26 – 28 May 2010.:Welcome Address ........................ Page I Table of Contents ........................ Page III Symposium Committees .............. Page IV Special Thanks ............................. Page V Conference program (incl. page numbers of papers) ................... Page VI Conference papers Invited talks ................................ Page 1 Regular Papers ........................... Page 14 Wednesday, May 26th, 2010 ......... Page 15 Thursday, May 27th, 2010 .......... Page 110 Friday, May 28th, 2010 ............... Page 210 Author index ............................... Page XII