Euclidean shift-twist symmetry in population models of self-aligning objects
File(s)SIAP04a.pdf (276.36 KB)
Published version
Author(s)
Bressloff, Paul C
Type
Journal Article
Abstract
We consider the symmetry properties of a general class of nonlocal population models
describing the aggregation and alignment of oriented objects in two dimensions. Such objects could
be at the level of molecules, cells, or whole organisms. We show that the underlying interaction
kernel is invariant under the so-called shift-twist action of the Euclidean group acting on the space
R2 × S1. This group action was previously studied within the context of a continuum model of
primary visual cortex. We use perturbation methods to solve the eigenvalue problem arising from
linearization about a homogeneous state, and then use equivariant bifurcation theory to identify the
various types of doubly periodic patterns that are expected to arise when the homogeneous state
becomes unstable. We thus establish that two distinct forms of spatio-angular o
describing the aggregation and alignment of oriented objects in two dimensions. Such objects could
be at the level of molecules, cells, or whole organisms. We show that the underlying interaction
kernel is invariant under the so-called shift-twist action of the Euclidean group acting on the space
R2 × S1. This group action was previously studied within the context of a continuum model of
primary visual cortex. We use perturbation methods to solve the eigenvalue problem arising from
linearization about a homogeneous state, and then use equivariant bifurcation theory to identify the
various types of doubly periodic patterns that are expected to arise when the homogeneous state
becomes unstable. We thus establish that two distinct forms of spatio-angular o
Date Issued
2004-01
Date Acceptance
2004-01-05
Citation
SIAM Journal on Applied Mathematics, 2004, 64 (5), pp.1668-1690
ISSN
0036-1399
Publisher
Society for Industrial and Applied Mathematics
Start Page
1668
End Page
1690
Journal / Book Title
SIAM Journal on Applied Mathematics
Volume
64
Issue
5
Copyright Statement
Copyright © 2004 Society for Industrial and Applied Mathematics.
Identifier
http://dx.doi.org/10.1137/s0036139903436017
Publication Status
Published
Date Publish Online
2004-06-22