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Grant: Discovery Grants Program - Individual

University of Winnipeg

$10,000.00

Convexity, distance invariants and longest paths in graphs

EF 2013-14

Résumé
Networks are useful models for transportation, communication and computer networks. In this proposal we are interested in the problem of connecting a set S of nodes in a network by some optimal subnetwork. This could be (i) a shortest connected subnetwork containing S ,i.e., with the smallest number of nodes or (ii) a connected subnetwork containing S that is minimal in the sense that if any node not in S is deleted from the subnetwork, then this disconnects S. The interval for S with respect to either of these two optimal ways of connecting S consist of all nodes that belong to some shortest subnetwork connecting S (or some minimal subnetwork containing S). A set T of nodes is convex or closed if it contains the interval for every subset S of T having a fixed size. We propose to study structures of networks for which these closed sets have certain properties. The second part of this proposal has applications to the navigation of robots in a network space. A landmark is a device placed at a node in the network that allows a robot to determine its distance to the landmark. Two positions in the network are distinguished by some landmark if they are at different distances from the landmark. The goal is to determine the fewest number of landmarks and their locations so that any two positions in the network are distinguished by some landmark. The same ideas have application to network security. Instead of installing landmarks one installs detecting devices that allow one to uniquely determine the location of an intruder. This is a very difficult problem to solve. We propose to develop new approaches that give good bounds for the smallest number of landmarks/detecting devices that are needed and exact solutions for networks from a specified type of network. The third part of this proposal deals with directed networks. These are used, for example, to model networks with one-way streets or round robin tournaments. In the latter case the teams become the nodes of the network and there is a directed arc from a team T1 to a team T2 if T1 beat T2. We propose to study structures that are extensions of round robin tournaments and their relation to longest paths.
Programme
Discovery Grants Program - Individual
Emplacement
Manitoba, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
198281-2011
Name nom
Oellermann, Ortrud
Department département
Mathematics and Statistics
Organization id
21
Institution établissement
University of Winnipeg
Province en
Manitoba
Province fr
Manitoba
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2013
Competition year année de concours
2011
Award amount
10000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
1508
Committee name en
Mathematics and Statistics
Committee name fr
Mathématiques et statistique
Area of application code
9999
Area of application group en
Not available
Area of application group fr
Non disponible
Area of application en
Not available
Area of application fr
Non disponible
Research subject code
2914
Research subject group en
Pure mathematics
Research subject group fr
Mathématiques pures
Research subject en
Combinatorics
Research subject fr
Combinatoire
Partie
3
Nb partie
5
Application title
Convexity, distance invariants and longest paths in graphs
Keyword
NSERC
Application summary
Networks are useful models for transportation, communication and computer networks. In this proposal we are interested in the problem of connecting a set S of nodes in a network by some optimal subnetwork. This could be (i) a shortest connected subnetwork containing S ,i.e., with the smallest number of nodes or (ii) a connected subnetwork containing S that is minimal in the sense that if any node not in S is deleted from the subnetwork, then this disconnects S. The interval for S with respect to either of these two optimal ways of connecting S consist of all nodes that belong to some shortest subnetwork connecting S (or some minimal subnetwork containing S). A set T of nodes is convex or closed if it contains the interval for every subset S of T having a fixed size. We propose to study structures of networks for which these closed sets have certain properties. The second part of this proposal has applications to the navigation of robots in a network space. A landmark is a device placed at a node in the network that allows a robot to determine its distance to the landmark. Two positions in the network are distinguished by some landmark if they are at different distances from the landmark. The goal is to determine the fewest number of landmarks and their locations so that any two positions in the network are distinguished by some landmark. The same ideas have application to network security. Instead of installing landmarks one installs detecting devices that allow one to uniquely determine the location of an intruder. This is a very difficult problem to solve. We propose to develop new approaches that give good bounds for the smallest number of landmarks/detecting devices that are needed and exact solutions for networks from a specified type of network. The third part of this proposal deals with directed networks. These are used, for example, to model networks with one-way streets or round robin tournaments. In the latter case the teams become the nodes of the network and there is a directed arc from a team T1 to a team T2 if T1 beat T2. We propose to study structures that are extensions of round robin tournaments and their relation to longest paths.