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Probabilistic Firefighting

dc.contributor.authorPearson, Dylan
dc.contributor.copyright-releaseNot Applicable
dc.contributor.degreeMaster of Science
dc.contributor.departmentDepartment of Mathematics & Statistics - Math Division
dc.contributor.ethics-approvalNot Applicable
dc.contributor.external-examinern/a
dc.contributor.manuscriptsNot Applicable
dc.contributor.thesis-readerJason Brown
dc.contributor.thesis-readerMargaret-Ellen Messinger
dc.contributor.thesis-supervisorJeannette Janssen
dc.contributor.thesis-supervisorNancy Clarke
dc.date.accessioned2024-12-16T13:30:51Z
dc.date.available2024-12-16T13:30:51Z
dc.date.defence2024-12-10
dc.date.issued2024-12-14
dc.descriptionIn this thesis, we study a model for the spread of, and defense against, a wildfire. Prior work in this field has considered the spread of a fire to occur deterministically. However, variables like wind, humidity, temperature and precipitation are all important factors that dictate how a fire disseminates. To account for this, we assign a probability to the spread of the fire. In doing so, we are able to explore new strategies to fight fires that were previously impossible via other models.
dc.description.abstractFirefighting is a model used to study the spread of a fire on a graph G over discrete time-steps. Initially, a fire breaks out at some vertex of G. At each successive step , a firefighter defends an unburned vertex, and then the fire spreads to each unburned, undefended neighbour. The process terminates once the fire is stopped from spreading to any new vertices. We introduce probabilistic firefighting, where the fire only spreads to neighbours with a fixed probability. In this model, we say that the fire is contained if the probability that any new vertices burn is 0. We study strategies to contain a probabilistic fire on the kth power of a path and on the hexagonal grid. We conjecture that a probabilistic fire can be contained with one firefighter on the hexagonal grid, providing new insight into Messinger’s conjecture.
dc.identifier.urihttps://hdl.handle.net/10222/84787
dc.language.isoen
dc.subjectGraph Theory
dc.subjectFirefighting
dc.subjectProbability
dc.titleProbabilistic Firefighting

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