Abstract We construct a continuum model for biological aggregations in which in-dividuals experience long-range social attraction and short-range dispersal. For the case of one spatial dimension, we study the steady states analytically and numeri-cally. There exist strongly nonlinear states with compact support and steep edges that correspond to localized biological aggregations, or clumps. These steady-state clumps are reached through a dynamic coarsening process. In the limit of large population size, the clumps approach a constant density swarm with abrupt edges. We use energy arguments to understand the nonlinear selection of clump solu-tions, and to predict the internal density in the large population limit. The energy result holds in ...
The mechanisms of grouping and the models revolving around these problems truly impassioned many mat...
Many biological systems form structured swarms, for instance in locusts, whose swarms are known as h...
We consider the aggregation equation ρt − ∇ · (ρ∇K ∗ ρ) = 0 in Rn, where the interaction potentia...
This talk will discuss recent developments concerning the long-term behavior of possibly finite-dime...
In this article, we introduce and study a new nonlocal hyperbolic model for the formation and moveme...
Biological aggregations such as insect swarms and fish schools may arise from a combination of socia...
Abstract. This paper describes continuum models for swarming be-havior based on non-local interactio...
We study the spatial patterns formed by a system of interacting particles where the mobility of any ...
In this thesis, we study a nonlocal hyperbolic model for biological aggregations in one spatial dime...
Biological aggregations such as insect swarms and bird flocks may arise from a combination of social...
We consider the aggregation equation ρt − ∇ · (ρ∇K ∗ ρ) = 0 in Rn, where the interaction potentia...
Biological aggregations such as fish schools, bird flocks, bacterial colonies, and insect swarms hav...
In this paper we investigate the stochastic modelling of a spatially structured biological populatio...
AbstractWe introduce two models of biological aggregation, based on randomly moving particles with i...
Aggregations abound in nature, from cell formations to locust swarms. One method of modelling these ...
The mechanisms of grouping and the models revolving around these problems truly impassioned many mat...
Many biological systems form structured swarms, for instance in locusts, whose swarms are known as h...
We consider the aggregation equation ρt − ∇ · (ρ∇K ∗ ρ) = 0 in Rn, where the interaction potentia...
This talk will discuss recent developments concerning the long-term behavior of possibly finite-dime...
In this article, we introduce and study a new nonlocal hyperbolic model for the formation and moveme...
Biological aggregations such as insect swarms and fish schools may arise from a combination of socia...
Abstract. This paper describes continuum models for swarming be-havior based on non-local interactio...
We study the spatial patterns formed by a system of interacting particles where the mobility of any ...
In this thesis, we study a nonlocal hyperbolic model for biological aggregations in one spatial dime...
Biological aggregations such as insect swarms and bird flocks may arise from a combination of social...
We consider the aggregation equation ρt − ∇ · (ρ∇K ∗ ρ) = 0 in Rn, where the interaction potentia...
Biological aggregations such as fish schools, bird flocks, bacterial colonies, and insect swarms hav...
In this paper we investigate the stochastic modelling of a spatially structured biological populatio...
AbstractWe introduce two models of biological aggregation, based on randomly moving particles with i...
Aggregations abound in nature, from cell formations to locust swarms. One method of modelling these ...
The mechanisms of grouping and the models revolving around these problems truly impassioned many mat...
Many biological systems form structured swarms, for instance in locusts, whose swarms are known as h...
We consider the aggregation equation ρt − ∇ · (ρ∇K ∗ ρ) = 0 in Rn, where the interaction potentia...