4/6/20100Office/Department|| DYNAMICS AND BIFURCATIONS IN VARIABLE TWO SPECIES INTERACTION MODELS IMPLEMENTING PIECEWISE LINEAR ALPHA-FUNCTIONS Katharina.

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4/6/20100Office/Department|| DYNAMICS AND BIFURCATIONS IN VARIABLE TWO SPECIES INTERACTION MODELS IMPLEMENTING PIECEWISE LINEAR ALPHA-FUNCTIONS Katharina Voelkel April 26, 2012

Types of Interspecies Interactions Name of InteractionEffect of Interaction on Respective Species Neutralism0 / 0 Competition- / - Predator-Prey or Host-Parasite+ / - Mutualism+ / + Commensalism0 / + Ammensalism0 / -

Static vs. Variable

Roots of Interaction Modeling Lotka-Volterra Equations: Generalization:

Extension of α-Functions Lotka – Volterra Generalization (Zhang et al.) New Model N N N N N N α α α (N 0, Y 0 )

The Models Studied α N (N 0, Y 0 )

Previous Research B. Zhang, Z. Zhang, Z. Li, Y. Tao. „Stability analysis of a two-species model with transitions between population interactions.” J. Theor. Biol. 248 (2007): 145–153. M. Hernandez, I. Barradas. “Variation in the outcome of population interactions: bifurcations and catastrophes.” Mathematical Biology 46 (2003): 571–594. M. Hernandez. “Dynamics of transitions between population interactions: a nonlinear interaction α-function defined.” Proc. R. Soc. Lond. B 265 (1998): local stability of equilibria, graphical analysis of saddle- node bifurcations

Equilibrium Points Occur whenever dx/dt = 0 and dy/dt = 0 simultaneously Stablevs.Unstable

Classifying Equilibria

Linearization Jacobian Matrices for the four systems are:

Boundary Equilibria

Interior (aka Coexistence) Equilibria Focus on System [A]: Equilibrium P 3 = (x 3,y 3 ) has to satisfy: 0 = r-kx+(ay +b)y (1) 0 = R-Ky+(cx +d)x (2)

# of Coexistence Equilibria = # of Intersections of Nullclines

Classifying Coexistence Equilibria

Classifying Coexistence Equilibria (cont’d)

System [A]System [B]System [C]System [D] P 0 = (0, 0) is a:Unstable node SaddleSaddle or stable node Saddle SaddleSaddle or stable node SaddleSaddle or stable node Number of coexistence equilibria P 3 = (x 3, y 3 ) 0 – – 1 0 – 1 P 3 = (x 3, y 3 ) is a:Saddle or stable node Saddle, stable node, or focus Relationship between species indicated by equilibria P 3 Mutualism Mutualism, competition, or host-parasite Mutualism or host-parasite Mutualism or host-parasite

Stable Node Coexistence Equilibrium (System [B]) Stable Focus (System [D]) H-P

Two Stable Foci and One Saddle Equilibrium Point in System [B] H-P C

Structural Stability - Definition

Structural Stability – Intuitively ©2012 Rovio Entertainment Ltd.

Bifurcations – Loss of Structural Stability

Transcritical Bifurcation at K 0 = K=0.45 K=K 0 K=0.60

Hopf Bifurcation – Periodic Orbits Three periodic orbits originating from the Hopf bifurcation. Periods are: Orbit 1: t = ; Orbit 2: t = ; Orbit 3: t =

Conclusion Modeling variable interactions possible Observed foci, center-type equilibria, and 3 types of bifurcations  Extended work of Hernandez ( ) and Zhang et al. (2007) Future Research: Non-linear α-functions Harvesting functions Extend dependence of α(x,y) Extend models to 3 or 4 interacting species (N 0, Y 0 ) N α