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This was my slide presentation for my PhD defence. The topic is Hopf bifurcations and nonlinear dynamics in systems of PDEs.
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ON THE DYNAMICAL CONSEQUENCES OF GENERALIZED AND DEGENERATE
HOPF BIFURCATIONS: THIRD-ORDER EFFECTS
Todd Blanton SmithPhD, Mathematics
University of Central FloridaOrlando, Florida
Spring 2011Advisor: Dr. Roy S. Choudhury
Presentation Outline
• Intro to phase plane analysis and bifurcations
• Demonstration of analytical technique for dividing parameter
space into regions that support certain nonlinear dynamics.
• Three-mode laser diode system and predator-prey system
• Generalized Hopf bifurcations
• Four-mode population system
• Double Hopf Bifurcations
Phase plane analysis of nonlinear autonomous systems
Consider a general nonlinear autonomous system
Fixed points satisfy
.Add a small perturbation
A Taylor expansion gives behavior near the fixed point.0
Bifurcations
• A bifurcation is a qualitative change in the phase portrait of a system of ODE's.
Eigenvalues are
A static bifurcation:
They occur when the real part of a complex conjugate pair of eigenvalues moves through zero.
Supercritical Hopf Bifurcations
Subcritical Hopf Bifurcations
Two unstable fixed points collapseonto a stable fixed point and cause it to loose stability
• A generalized Hopf bifurcation occurs in a system with three dimensions when there is one complex conjugate pair of eigenvalues and the other eigenvalue is zero.
• In four dimensions there are three scenarios:
Generalized Hopf Bifurcations
(Double Hopf)
Laser Diode and Predator-Prey systems
First we find generalized Hopf bifurcations and nearby nonlinear dynamics in two systems:
Laser Diode Predator Prey
Locating a Generalized Hopf Bifurcation
In the Predator Prey model, our Jacobian matrix is
The eigenvalues satisfy the characteristic equation
where depend on the system parameters.
We insist on the form
which imposes the conditions and .
Analytical Construction of Periodic Orbits
- Use multiple scale expansions to construct periodic orbits near the bifurcation.
yields equations at
Where are differential operators and
are source terms.
Using these expansions and equating powers of
These three equations can be solved simultaneously to form a composite operator
The Source Terms
The first order sources are zero, so we can guess a functional form for the first order solution.
First-Order Solution
where we impose and .
This can be plugged into the source of the next order composite equation
Now eliminate source terms that satisfy the homogeneous equations.
Set the coefficients of equal to 0 to get
Change to polar coordinates for periodic orbits.
After the change of variables, setting equal the real and imaginary parts gives the polar normal form.
The fixed points are
The post-generalized Hopf periodic orbit is
The evolution and stability of the orbit is determined by the stability of the fixed point, so we evaluate the Jacobian (eigenvalue) at the fixed point to get
Predator-Prey, parameter set 1
Predator-Prey, parameter set 2
Autocorrelation function Power Spectral Density
Numerical confirmation of chaotic behavior
Autocorrelation functionApproaches zero in a finitetime
PSD shows contributionsFrom many small frequencies
A stable quasi-periodic orbit is created after the bifurcation in the laser diode system.
Periodic and Quasiperiodic Wavetrains from Double Hopf Bifurcations in Predator-Prey
Systems with General Nonlinearities
• Morphogenesis- from Developmental Biology - The emergence of spatial form and pattern from a homogeneous state.
Turing studied reaction diffusion equations of the form
The reaction functions (or kinematic terms) R1 and R2 were polynomials
The general two species predator-prey model
where N(t) and P(t) are the prey and predator populations, respectively
Prey birth rate
Carrying capacity
rate of the prey’s contribution to the predator growth
rate of predation per predator
Here we investigate traveling spatial wave patterns in the form
where is the traveling wave, or “spatial” variable, and v is the translation or wave speed.
The four-mode population system studied by Stefan Mancas:
Linear stability analysisThe fixed points of the system
The functions F(N) and G(P) are kept general during the analysis but are subsequently chosen to correspond to three systems analyzed by Mancas [28].
are
The Jacobian matrix at the fixed point (N0, M0, P0, Q0) is
The eigenvalues λ of the Jacobian satisfy the characteristic equation
where bi, i = 1,…, 4 are given by
Double Hopf bifurcation- two pairs of purely imaginary complex conjugates.
Hence we impose the characteristic form
This determines that the conditions for a double Hopf bifurcation are
Analytical construction of periodic orbits
We use the method of multiple scales to construct analytical approximations for the periodic orbits.
The time derivative becomes
is a small positive non-dimensional parameter that distinguishes different time scales.
Control Parameters:
where the Li, i = 1, 2, 3, 4, are the differential operators
To find the solutions, we note that S1,i = 0 for i = 1, 2, 3, 4 and so we choose a first order solution
Suppressing secular source terms (solutions of the homogeneous equations for i = 1) gives the requirement
Now we assume a second order solution of the form
This second order ansatz is plugged into the composite operator with i = 2.
Evaluating the third order source term ᴦ3 with the first and second order solutions and setting first order harmonics equal to zero produces the normal form.
Note that c1 through c6 are complex. We can more easily find periodic orbits by switching to polar coordinates.
Plugging the polar coordinates into the normal form and separating real and imaginary parts of the resulting equations gives the normal form in polar coordinates.
Periodic solutions are found by setting the two radial equations equal to zero and solving for p1(T2) and p2(T2).
There are four solutions: the initial equilibrium solution, the Hopf bifurcation solution with frequency ω1, the Hopf bifurcation solution with frequency ω2, and the quasiperiodic solution with frequencies ω1 and ω2 .
The stability conditions for each of these solutions can be determined with the Jacobian of the radial equations.
Evaluate this on the equilibrium solution and set the eigenvalues negative to see the stability conditions:
and
Choosing μ1 = -0.24 and μ2 = 0.79 between L1 and L2 results in the stable equilibrium solution shown in Figure 2
The second order deviation values μ1 = -0.4 and μ2 = 0.6 place the sample point immediately after the line L1 where a Hopf bifurcation occurs.
The values μ1 = -0.11 and μ2 = 0.9 place the sample point immediately after L2.
Evaluating the Jacobian on the first Hopf bifurcation solution yields the stability conditions:
When a20 < 0, the above conditions also allow the second Hopf bifurcation solution to exist.
Evaluating the Jacobian on the second Hopf bifurcation solution yields the stability conditions:
When b02 < 0, the above conditions also allow the first Hopf bifurcation solution to exist.
μ1 = -0.06 , μ2 = 0.9
Quasiperiodic motion after line 3
Two frequency peaks indicate quasiperiodic motion.
The critical line L5, where a quasiperiodic solution loses stability and may bifurcate into a motion on a 3-D torus, is given here:
Immediately after the lines L4 and L5 the solutions fly off to infinity in finite time.
The solutions in the regions after L4 and L5 are unstable
Conclusion• In this dissertation we have demonstrated an analytical
technique for determining regions of parameter space that yield various nonlinear dynamics due to generalized and double-Hopf bifurcations.
• Thank You:Dr ChoudhuryDr SchoberDr RollinsDr Chatterjee Dr Moore