Cusp-Bodanov-Takens Bifurcation in a Predator-Prey Type of...
Transcript of Cusp-Bodanov-Takens Bifurcation in a Predator-Prey Type of...
ICREM 5
KrisnawanTuwankotta
Outline
Pred-PreyOur goal
Scaling
Equilibrium
CBT Bifurcation
PeriodicPerturbation
Conclusion
References
Cusp-Bodanov-Takens Bifurcationin a Predator-Prey Type of
Dynamical Systemwith Time-Periodic Perturbation
Kus Prihantoso KrisnawanJohan Matheus Tuwankotta
October 24th, 2011
ITB-Bandung Indonesia
ICREM 5
KrisnawanTuwankotta
Outline
Pred-PreyOur goal
Scaling
Equilibrium
CBT Bifurcation
PeriodicPerturbation
Conclusion
References
Outline
Predator-Prey System
Cusp-Bogdanov-Takens Bifurcation
System with Time-Periodic Perturbation
Conclusion
References
ICREM 5
KrisnawanTuwankotta
Outline
Pred-PreyOur goal
Scaling
Equilibrium
CBT Bifurcation
PeriodicPerturbation
Conclusion
References
Predator-Prey System
Given Predator-Prey system
x = ax − λx2 − yP(x)
y = −δy − µy2 + yQ(x) (1)
where a, λ, δ > 0 dan µ ≥ 0,
P(x) =mx
αx2 + βx + 1Q(x) = cP(x)
where α ≥ 0 dan m, c > 0 dan β > −2√α.
ICREM 5
KrisnawanTuwankotta
Outline
Pred-PreyOur goal
Scaling
Equilibrium
CBT Bifurcation
PeriodicPerturbation
Conclusion
References
Related works
Broer, et al., Bifurcation of a predator-prey model withnon-monotonic response function, Comptes RendusMathematique, V. 341, (2005) 601-604.
Broer, et al., A predator-prey model with non-monotonic responsefunction, Regular and Chaotic Dynamics 11(2) (2006),155-165.
Broer, et al., Dynamics of a predator-prey model withnon-monotonic response function, DCDS-A 18(2-3) (2007),221-251.
Haryanto, E., Tuwankotta, J.M., Swallowtail in predator-prey typeof system with time-periodic perturbation, submitted to ICREM2011.
Tuwankotta, J.M., Haryanto, E., On periodic solution of apredator-prey type of dynamical system with time-periodicperturbation, submitted to ICREM 2011.
ICREM 5
KrisnawanTuwankotta
Outline
Pred-PreyOur goal
Scaling
Equilibrium
CBT Bifurcation
PeriodicPerturbation
Conclusion
References
Our goal:
Show that there is a codimension 3 bifurcation(Cusp-Bogdanov-Takens) on the system.
We give time perturbation on the carrying capacity to see itsinfluence to the bifurcationthe variation is λ = λ0(1 + ε sin(ωt)).
ICREM 5
KrisnawanTuwankotta
Outline
Pred-PreyOur goal
Scaling
Equilibrium
CBT Bifurcation
PeriodicPerturbation
Conclusion
References
Our goal:
Show that there is a codimension 3 bifurcation(Cusp-Bogdanov-Takens) on the system.
We give time perturbation on the carrying capacity to see itsinfluence to the bifurcationthe variation is λ = λ0(1 + ε sin(ωt)).
ICREM 5
KrisnawanTuwankotta
Outline
Pred-PreyOur goal
Scaling
Equilibrium
CBT Bifurcation
PeriodicPerturbation
Conclusion
References
Scaling
Define:
t =1aτ, x =
acm
x , y =am
y , λ = cmλ,
δ = aδ, µ = mµ, α =c2m2
a2 α, β =cmaβ
substitute to the system (1) and discard the tilde on the newvariable:
x = x(1− λx − yαx2 + βx + 1
)
y = y(−δ − µy +y
αx2 + βx + 1). (2)
We fix the value λ = 0.01 and δ = 1.1.
ICREM 5
KrisnawanTuwankotta
Outline
Pred-PreyOur goal
Scaling
Equilibrium
CBT Bifurcation
PeriodicPerturbation
Conclusion
References
Equilibrium points
The system (2) has some equilibrium points:
1 O(0,0), where λ1 = 1 and λ2 = −1.1.2 (100,0), λ1 = −1 and λ2 = −1.1 + 0.01
0.0001+0.01β+α .
3 (0,− δµ), for µ 6= 0.
4 for x 6= 0 and y 6= 0, the equilibrium point of the system(2) is the solution of
1 − 0.01x −y
αx2 + βx + 1= 0
−1.1 − µy +x
αx2 + βx + 1= 0
The Cusp-Bogdanov-Takens bifurcation point is(α, β, µ) = (0.0003986797,0.8459684,0.0013)at (x , y) = (49.38394909,22.14429463).
ICREM 5
KrisnawanTuwankotta
Outline
Pred-PreyOur goal
Scaling
Equilibrium
CBT Bifurcation
PeriodicPerturbation
Conclusion
References
Equilibrium points
The system (2) has some equilibrium points:
1 O(0,0), where λ1 = 1 and λ2 = −1.1.2 (100,0), λ1 = −1 and λ2 = −1.1 + 0.01
0.0001+0.01β+α .
3 (0,− δµ), for µ 6= 0.
4 for x 6= 0 and y 6= 0, the equilibrium point of the system(2) is the solution of
1 − 0.01x −y
αx2 + βx + 1= 0
−1.1 − µy +x
αx2 + βx + 1= 0
The Cusp-Bogdanov-Takens bifurcation point is(α, β, µ) = (0.0003986797,0.8459684,0.0013)at (x , y) = (49.38394909,22.14429463).
ICREM 5
KrisnawanTuwankotta
Outline
Pred-PreyOur goal
Scaling
Equilibrium
CBT Bifurcation
PeriodicPerturbation
Conclusion
References
Cusp-Bogdanov-Takens Bifurcation
ICREM 5
KrisnawanTuwankotta
Outline
Pred-PreyOur goal
Scaling
Equilibrium
CBT Bifurcation
PeriodicPerturbation
Conclusion
References
Cusp-Bogdanov-Takens Bifurcation Diagram
Figure: Cusp-Bogdanov-Takens Bifurcation Diagram and its Phase Portrait
ICREM 5
KrisnawanTuwankotta
Outline
Pred-PreyOur goal
Scaling
Equilibrium
CBT Bifurcation
PeriodicPerturbation
Conclusion
References
System with Periodic Perturbation
Before the periodic perturbation, the system is:
x = x(1− λx − yαx2 + βx + 1
)
y = y(−δ − µy +y
αx2 + βx + 1). (3)
Parameter λ, is varied by
λ = λ0 (1 + ε sin (ωt)) (4)
where λ0, ω are constants and ε > 0 is the perturbationparameter. Thus we get
x = x − λx2 − λε sin(ωt)x2 − xyαx2 + βx + 1
y = −δy − µy2 +xy
αx2 + βx + 1(5)
ICREM 5
KrisnawanTuwankotta
Outline
Pred-PreyOur goal
Scaling
Equilibrium
CBT Bifurcation
PeriodicPerturbation
Conclusion
References
the strategy
Define·u = ωv + u − u(u2 + v2)·v = −ωu + v − v(u2 + v2). (6)
System (6) has solutions u = sinωt and v = cosωt .
·u = ωv + u − u(u2 + v2)·v = −ωu + v − v(u2 + v2)·x = x − λx2 − λεux2 − xy
αx2 + βx + 1·y = −δy − µy2 +
xyαx2 + βx + 1
We investigate the system at ω = 1, λ = 0.01, and δ = 1.1for the perturbations ε = 0.0003, ε = 0.001, and ε = 0.02.
ICREM 5
KrisnawanTuwankotta
Outline
Pred-PreyOur goal
Scaling
Equilibrium
CBT Bifurcation
PeriodicPerturbation
Conclusion
References
Bifurcation Diagrams after the Perturbations
Figure: Bifurcation diagram of the system (5) for ε > 0
ICREM 5
KrisnawanTuwankotta
Outline
Pred-PreyOur goal
Scaling
Equilibrium
CBT Bifurcation
PeriodicPerturbation
Conclusion
References
Figure: Zoom in K (left), L (middle), dan M (right)
Figure: Zoom in K1 (left), L1 (middle), dan M1 (right)
ICREM 5
KrisnawanTuwankotta
Outline
Pred-PreyOur goal
Scaling
Equilibrium
CBT Bifurcation
PeriodicPerturbation
Conclusion
References
Conclusion
1. For the value λ = 0.01 and δ = 1.1 we get that theCusp-Bogdanov-Takens bifurcation happens at(α, β, µ) = (0.0003986797,0.8459684,0.0013) for(x , y) = (49.38394909,22.14429463).
2. We found that the Cusp-Bogdanov-Takens bifurcationis persist to the perturbation for ε > 0.
ICREM 5
KrisnawanTuwankotta
Outline
Pred-PreyOur goal
Scaling
Equilibrium
CBT Bifurcation
PeriodicPerturbation
Conclusion
References
References
1. Broer, et al., Bifurcation of a predator-prey model with non-monotonicresponse function, Comptes Rendus Mathematique, V. 341, (2005) 601-604.
2. Broer, et al., A predator-prey model with non-monotonic response function,Regular and Chaotic Dynamics 11(2) (2006),155-165.
3. Broer, et al., Dynamics of a predator-prey model with non-monotonicresponse function, DCDS-A 18(2-3) (2007), 221-251.
4. Doedel, E.J, et al. AUTO 2000: Continuation and Bifurcation Software forOrdinary Differential Equations, User’s Guide, Concordia University,Montreal, Canada 2000.
5. Freedman, H.I., Wolkowics, G.S., Predator-prey Systems with GroupDefense: The Paradox of Enrichment Revisited, Bull. Math. Biol. (1986), pp.493-508.
6. Haryanto, E., Tuwankotta, J.M., Swallowtail in predator-prey type of systemwith time-periodic perturbation, submitted to ICREM 2011.
7. Y.A. Kuznetsov, Elements of Applied Bifurcation Theory, second edition,Springer-Verlag New York, Inc., 1998.
8. Tuwankotta, J.M., Haryanto, E., On periodic solution of a predator-prey typeof dynamical system with time-periodic perturbation, submitted to ICREM2011.
ICREM 5
KrisnawanTuwankotta
Outline
Pred-PreyOur goal
Scaling
Equilibrium
CBT Bifurcation
PeriodicPerturbation
Conclusion
References
THANK YOUMATUR NUWUN