Contact Info
Department of Applied Mathematics
University of Waterloo
Waterloo, Ontario
Canada N2L 3G1
Phone: 519-888-4567, ext. 32700
Fax: 519-746-4319
PDF files require Adobe Acrobat Reader
MC 5417 (in person) and online talk (for Zoom Link please contact ddelreyfernandez@uwaterloo.ca)
Professor Lennaert van Veen, University of Ontario Institute of Technology Department of Mathematics
A non-local PDE model for animal aggregation
Organisms moving in groups can exhibit intricate pattern formation and dynamics. From bacteria in a petri dish to grazing caribou, forming groups and moving towards a common goal can be part of a survival strategy. Many types of models have been introduced to simulate and predict the aggregation of organisms, such as agent-based models, Boltzmann equations and active fluids. We study a kinetic model in two spatial dimensions with non-linear terms that correspond to the sensing of the environment by, for instance, vision, hearing or chemotaxis. The information thus gathered is passed through a sigmoidal function that models a sensing threshold and a saturation effect. I will explain the somewhat non-standard simulation scheme and explore the relative influence of the strength of alignment and attraction forces, as well as the sensing threshold and saturation, on the pattern formation.
Joint work with Luciano Buono and Andree Qi.
Contact Info
Department of Applied Mathematics
University of Waterloo
Waterloo, Ontario
Canada N2L 3G1
Phone: 519-888-4567, ext. 32700
Fax: 519-746-4319
PDF files require Adobe Acrobat Reader
The University of Waterloo acknowledges that much of our work takes place on the traditional territory of the Neutral, Anishinaabeg and Haudenosaunee peoples. Our main campus is situated on the Haldimand Tract, the land granted to the Six Nations that includes six miles on each side of the Grand River. Our active work toward reconciliation takes place across our campuses through research, learning, teaching, and community building, and is centralized within our Office of Indigenous Relations.