ANALYSIS OF HOPF/HOPF BIFURCATIONS IN NONLOCAL HYPERBOLIC MODELS FOR SELF-ORGANISED AGGREGATIONS
DOI10.1142/S0218202513400101zbMath1282.35041OpenAlexW2002581511MaRDI QIDQ2873519
Pietro-Luciano Buono, Raluca Eftimie
Publication date: 24 January 2014
Published in: Mathematical Models and Methods in Applied Sciences (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1142/s0218202513400101
First-order nonlinear hyperbolic equations (35L60) Ecology (92D40) Initial-boundary value problems for first-order hyperbolic systems (35L50) Bifurcations in context of PDEs (35B32) Group-invariant bifurcation theory in infinite-dimensional spaces (58E09) Integro-partial differential equations (35R09) Pattern formations in context of PDEs (35B36)
Related Items (12)
Cites Work
- A nonlocal continuum model for biological aggregation
- Hyperbolic and kinetic models for self-organized biological aggregations and movement: a brief review
- An investigation of a nonlocal hyperbolic model for self-organization of biological groups
- Weakly nonlinear analysis of a hyperbolic model for animal group formation
- Double milling in self-propelled swarms from kinetic theory
- The Fredholm alternative for functional-differential equations of mixed type
- Emerging patterns in a hyperbolic model for locally interacting cell systems
- Modeling group formation and activity patterns in self-organizing collectives of individuals
- Regenerative tool chatter near a codimension 2 Hopf point using multiple scales
- Fredholm alternative for periodic-Dirichlet problems for linear hyperbolic systems
- ON THE MATHEMATICAL THEORY OF THE DYNAMICS OF SWARMS VIEWED AS COMPLEX SYSTEMS
- FROM EMPIRICAL DATA TO INTER-INDIVIDUAL INTERACTIONS: UNVEILING THE RULES OF COLLECTIVE ANIMAL BEHAVIOR
- Double Hopf Bifurcations in the Differentially Heated Rotating Annulus
- Complex spatial group patterns result from different animal communication mechanisms
This page was built for publication: ANALYSIS OF HOPF/HOPF BIFURCATIONS IN NONLOCAL HYPERBOLIC MODELS FOR SELF-ORGANISED AGGREGATIONS