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Grant: Discovery Grants Program - Individual

Brandon University

$16,000.00

Inverse Eigenvalue Problem, Totally Positive Matrices

EF 2019-20

Résumé
The proposed research is mainly in matrix theory, and includes some graph theory. The problems discussed below arise in areas like quantum information theory, computer science, analysis of social networks, and are of interest independently. ***Inverse Eigenvalue Problem. Here, the objective is to describe all possible eigenvalues of a given set of symmetric matrices with a fixed zero-nonzero pattern. The zero-nonzero pattern can be viewed as a graph. This problem has been extensively studied in various directions such as numerical values of eigenvalues, multiplicities of the eigenvalues, and ranks of matrices. I study the multiplicities of eigenvalues and related problems. For a given graph on n vertices, one may ask which integer partitions of n can be achieved as a multiplicity list of the eigenvalues of the graph. The answer is known for some families of graphs such as complete graphs. However, the question remains open. To start, consider partitions of n into two integers. The question then becomes which graphs can have exactly two distinct eigenvalues. We have several results and are working to solve the whole problem. Another approach is to study the maximum multiplicity of the eigenvalues of graphs. By using the Schur complement method we have provided a simple procedure to determine the maximum multiplicity as well as the structure of the null vectors of trees and cycles. I plan to generalize this method for all graphs, when possible.***Totally Positive Matrices. The main goal is to solve the totally positive completion problem. That is, given a matrix with both specified and unspecified entries, can the unspecified entries be replaced with values so that the determinant of every submatrix of any order (minor) in the resulting matrix is positive. I have completely solved the case when the minors of order one and two are positive. The question remains open for larger minors. Since every minor is positive, each unspecified entry is restricted by a set of polynomials involving the specified entries of the matrix. Thus, a totally positive completion of a given partial matrix is equivalent to asking if these polynomial inequalities have non-empty intersection, which is challenging when the number of unspecified entries increases. It turns out that in a totally positive matrix some minors are greater than others regardless of the values of the entries. I intend to try to find all of such relationships between minors. I also intend to search for partial orders on permutations that correspond to the minors in the same way that the Bruhat order did in the completion problem when minors of order one and two are positive.***Graph homomorphisms and domination. There are two projects. One of them is to determine which results about oriented graphs and 2-edge coloured graphs can be generalized to mixed graphs. The other project is to find structural properties of, and constructions for, various types of independent domination vertex--critical graphs.********
Programme
Discovery Grants Program - Individual
Bénéficiaire
Emplacement
Manitoba, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
RGPIN-2019-05275
Name nom
Nasserasr, Shahla
Department département
Mathematics and Computer Science
Organization id
20
Institution établissement
Brandon University
Province en
Manitoba
Province fr
Manitoba
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2019
Competition year année de concours
2019
Award amount
16000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR LA DÉCOUVERTE
Committee code
1508
Committee name en
Mathematics and Statistics
Committee name fr
Mathématiques et statistique
Area of application code
1205
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Mathematical sciences
Area of application fr
Sciences mathématiques
Research subject code
2914
Research subject group en
Pure mathematics
Research subject group fr
Mathématiques pures
Research subject en
Combinatorics
Research subject fr
Combinatoire
Installment
inst:1 - 5
Partie
1
Nb partie
5
Application title
Inverse Eigenvalue Problem, Totally Positive Matrices
Keyword
NSERC
Application summary
The proposed research is mainly in matrix theory, and includes some graph theory. The problems discussed below arise in areas like quantum information theory, computer science, analysis of social networks, and are of interest independently. ***Inverse Eigenvalue Problem. Here, the objective is to describe all possible eigenvalues of a given set of symmetric matrices with a fixed zero-nonzero pattern. The zero-nonzero pattern can be viewed as a graph. This problem has been extensively studied in various directions such as numerical values of eigenvalues, multiplicities of the eigenvalues, and ranks of matrices. I study the multiplicities of eigenvalues and related problems. For a given graph on n vertices, one may ask which integer partitions of n can be achieved as a multiplicity list of the eigenvalues of the graph. The answer is known for some families of graphs such as complete graphs. However, the question remains open. To start, consider partitions of n into two integers. The question then becomes which graphs can have exactly two distinct eigenvalues. We have several results and are working to solve the whole problem. Another approach is to study the maximum multiplicity of the eigenvalues of graphs. By using the Schur complement method we have provided a simple procedure to determine the maximum multiplicity as well as the structure of the null vectors of trees and cycles. I plan to generalize this method for all graphs, when possible.***Totally Positive Matrices. The main goal is to solve the totally positive completion problem. That is, given a matrix with both specified and unspecified entries, can the unspecified entries be replaced with values so that the determinant of every submatrix of any order (minor) in the resulting matrix is positive. I have completely solved the case when the minors of order one and two are positive. The question remains open for larger minors. Since every minor is positive, each unspecified entry is restricted by a set of polynomials involving the specified entries of the matrix. Thus, a totally positive completion of a given partial matrix is equivalent to asking if these polynomial inequalities have non-empty intersection, which is challenging when the number of unspecified entries increases. It turns out that in a totally positive matrix some minors are greater than others regardless of the values of the entries. I intend to try to find all of such relationships between minors. I also intend to search for partial orders on permutations that correspond to the minors in the same way that the Bruhat order did in the completion problem when minors of order one and two are positive.***Graph homomorphisms and domination. There are two projects. One of them is to determine which results about oriented graphs and 2-edge coloured graphs can be generalized to mixed graphs. The other project is to find structural properties of, and constructions for, various types of independent domination vertex--critical graphs.********