Local theory for spatio-temporal canards and delayed bifurcations

Abstract

We present a rigorous framework for the local analysis of canards and slow passages through bifurcations in a wide class of infinite-dimensional dynamical systems with time-scale separation. The framework is applicable to models where an infinite-dimensional dynamical system for the fast variables is coupled to a finite-dimensional dynamical system for slow variables. We prove the existence of centre-manifolds for generic models of this type, and study the reduced, finite-dimensional dynamics near bifurcations of (possibly) patterned steady states in the layer problem. Theoretical results are complemented with detailed examples and numerical simulations covering systems of local- and nonlocal-reaction diffusion equations, neural field models, and delay-differential equations. We provide analytical foundations for numerical observations recently reported in literature, such as spatio-temporal canards and slow-passages through Hopf bifurcations in spatially-extended systems subject to slow parameter variations. We also provide a theoretical analysis of slow passage through a Turing bifurcation in local and nonlocal models.

References in corpus (6)

• Continuation of localised coherent structures in nonlocal neural field equations
• Subcritical Turing bifurcation and the morphogenesis of localised patterns
• Slowly varying control parameters, delayed bifurcations and the stability of spikes in reaction-diffusion systems
• Spot dynamics in a reaction-diffusion model of plant root hair initiation
• Stripe to spot transition in a plant root hair initiation model
• Spatio-temporal canards in neural field equations

Cited by in corpus (4)

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• Geometric analysis of fast-slow PDEs with fold singularities via Galerkin discretisation
• Delayed Hopf bifurcation and space-time buffer curves in the Complex Ginzburg-Landau equation