John J. Tyson Virginia Polytechnic Institute

Slides:



Advertisements
Similar presentations
Differential Equations
Advertisements

Fronts in the cubic and quintic complex Ginzburg-Landau equation - Linear fronts in the supercritical case (cubic CGLe) - Normal and retracting fronts.
IFAC AIRTC, Budapest, October 2000 On the Dynamic Instability of a Class of Switching System Robert Noel Shorten Department of Computer Science National.
A Primer in Bifurcation Theory for Computational Cell Biologists Lecture 5: Two-Parameter Bifurcation Diagrams John J. Tyson Virginia Polytechnic Institute.
1 Ecological implications of global bifurcations George van Voorn 17 July 2009, Oldenburg For the occasion of the promotion of.
1 Predator-Prey Oscillations in Space (again) Sandi Merchant D-dudes meeting November 21, 2005.
Dynamics of nonlinear parabolic equations with cosymmetry Vyacheslav G. Tsybulin Southern Federal University Russia Joint work with: Kurt Frischmuth Department.
3-D State Space & Chaos Fixed Points, Limit Cycles, Poincare Sections Routes to Chaos –Period Doubling –Quasi-Periodicity –Intermittency & Crises –Chaotic.
Basic ingredients of a dynamical system
Practical Bifurcation Theory1 John J. Tyson Virginia Polytechnic Institute & Virginia Bioinformatics Institute.
Continuation of global bifurcations using collocation technique George van Voorn 3 th March 2006 Schoorl In cooperation with: Bob Kooi, Yuri Kuznetsov.
Modelling and Control Issues Arising in the Quest for a Neural Decoder Computation, Control, and Biological Systems Conference VIII, July 30, 2003 Albert.
Neuronal excitability from a dynamical systems perspective Mike Famulare CSE/NEUBEH 528 Lecture April 14, 2009.
Weakly dissipative system – local analysis Linear stability analysis orHopf bifurcation: S + /U + : upper state exists and is stable/unstable S – /U –
Linearisation about point equilibrium n-dimensional autonomous a constant / point equilibrium solution of the dynamics a ‘neighbouring’ solution first-order.
II. Towards a Theory of Nonlinear Dynamics & Chaos 3. Dynamics in State Space: 1- & 2- D 4. 3-D State Space & Chaos 5. Iterated Maps 6. Quasi-Periodicity.
Amplitude expansion eigenvectors: (Jacobi).U=  U,  (near a bifurcation)  (Jacobi).V=– V, =O(1) Deviation from stationary point.
Mini-course bifurcation theory George van Voorn Part two: equilibria of 2D systems.
Chaos Control (Part III) Amir massoud Farahmand Advisor: Caro Lucas.
1d dynamics 1 steady state:3 steady states: V(x).
A Primer in Bifurcation Theory for Computational Cell Biologists John J. Tyson Virginia Polytechnic Institute & Virginia Bioinformatics Institute
A Primer in Bifurcation Theory for Computational Cell Biologists Lecture 2 John J. Tyson Virginia Polytechnic Institute & Virginia Bioinformatics Institute.
Differential Equations
Analysis of the Rossler system Chiara Mocenni. Considering only the first two equations and ssuming small z The Rossler equations.
Complex eigenvalues SECTION 3.4
Autumn 2008 EEE8013 Revision lecture 1 Ordinary Differential Equations.
On the Use of a Frequency Method for Classifying the Oscillatory Behavior in Nonlinear Control Problems Jorge L. Moiola in collaboration with G. Revel,
Population Modeling Mathematical Biology Lecture 2 James A. Glazier (Partially Based on Brittain Chapter 1)
Exothermic reaction: stationary solutions Dynamic equations x – reactant conversion y – rescaled temperature Stationary temperature: find its dependence.
TEST 1 REVIEW. Single Species Discrete Equations Chapter 1 in Text, Lecture 1 and 2 Notes –Homogeneous (Bacteria growth), Inhomogeneous (Breathing model)
BME 6938 Neurodynamics Instructor: Dr Sachin S Talathi.
BME 6938 Neurodynamics Instructor: Dr Sachin S Talathi.
Ch 9.5: Predator-Prey Systems In Section 9.4 we discussed a model of two species that interact by competing for a common food supply or other natural resource.
Ch 9.8: Chaos and Strange Attractors: The Lorenz Equations
Stochastic modeling of molecular reaction networks Daniel Forger University of Michigan.
LURE 2009 SUMMER PROGRAM John Alford Sam Houston State University.
Population Dynamics Application of Eigenvalues & Eigenvectors.
Network Dynamics and Cell Physiology John J. Tyson Department of Biological Sciences & Virginia Bioinformatics Institute & Virginia Bioinformatics Institute.
Synchronization in complex network topologies
Stability and Dynamics in Fabry-Perot cavities due to combined photothermal and radiation-pressure effects Francesco Marino 1, Maurizio De Rosa 2, Francesco.
Motivation As we’ve seen, chaos in nonlinear oscillator systems, such as the driven damped pendulum discussed last time is very complicated! –The nonlinear.
Large Timestep Issues Lecture 12 Alessandra Nardi Thanks to Prof. Sangiovanni, Prof. Newton, Prof. White, Deepak Ramaswamy, Michal Rewienski, and Karen.
John J. Tyson Virginia Polytechnic Institute
Identification of nonlinear characteristics based on bistability in delayed model of cutting G Stepan, Z Dombovari Department of Applied Mechanics Budapest.
Synchronism in Large Networks of Coupled Heterogeneous
2D Henon Map The 2D Henon Map is similar to a real model of the forced nonlinear oscillator. The Purpose is The Investigation of The Period Doubling Transition.
Analysis of the Rossler system Chiara Mocenni. Considering only the first two equations and assuming small z, we have: The Rossler equations.
1 Quasiperiodic Dynamics in Coupled Period-Doubling Systems Sang-Yoon Kim Department of Physics Kangwon National University Korea Nonlinear Systems with.
Chaos Control in Nonlinear Dynamical Systems Nikolai A. Magnitskii Institute for Systems Analysis of RAS, Moscow,Russia.
Dynamics of biological switches 2. Attila Csikász-Nagy King’s College London Randall Division of Cell and Molecular Biophysics Institute for Mathematical.
Phase Plane Diagrams ENT 420 Biological System Modeling Lecturer Engr. Mohd Yusof bin Baharuddin MBiomedEng (Melbourne) BBiomedEng (Malaya)
Dynamical Systems 3 Nonlinear systems
Various Applications of Hopf Bifurcations Matt Mulvehill, Kaleb Mitchell, Niko Lachman.
Systems of Differential Equations Phase Plane Analysis
Physics 313: Lecture 9 Monday, 9/22/08
Chaos Control (Part III)
Ph. D. Thesis Spatial Structures and Information Processing in Nonlinear Optical Cavities Adrian Jacobo.
Chaotic systems and Chua’s Circuit
Biointelligence Laboratory, Seoul National University
One- and Two-Dimensional Flows
John J. Tyson Virginia Polytechnic Institute
Systems of Differential Equations Phase Plane Analysis
Stability and Dynamics in Fabry-Perot cavities due to combined photothermal and radiation-pressure effects Francesco Marino1,4, Maurizio De Rosa2, Francesco.
MATH 374 Lecture 23 Complex Eigenvalues.
Linear Algebra Lecture 32.
Hopf Bifurcations on a Scavenger/Predator/Prey System
Population Modeling Mathematical Biology Lecture 2 James A. Glazier
Poincare Maps and Hoft Bifurcations
Presentation transcript:

A Primer in Bifurcation Theory for Computational Cell Biologists Lecture 3: Hopf Bifurcation http://www.biology.vt.edu/faculty/tyson/lectures.php John J. Tyson Virginia Polytechnic Institute & Virginia Bioinformatics Institute Click on icon to start audio

Signal-Response Curve = One-parameter Bifurcation Diagram Saddle-Node (bistability, hysteresis) Hopf Bifurcation (oscillations) Subcritical Hopf Cyclic Fold Saddle-Loop Saddle-Node Invariant Circle

Stability Analysis of Steady States and eigenvectors of the Jacobian matrix.

If det(J) = 0, then l = 0 is an eigenvalue, and the steady state is a saddle-node. p < pSN p = pSN p > pSN det(J) = 0

Hopf Bifurcation If J has a pair of complex conjugate eigenvalues, l = Re(l) ± i Im(l), and Re(l) = 0, then the steady state is undergoing a Hopf bifurcation. Super-critical Hopf bifurcation Sub-critical Hopf bifurcation

The Hopf Bifurcation Theorem The Hopf Bifurcation Theorem. Suppose that at p = pH the Jacobian matrix has a pair of complex conjugate eigenvalues, l = Re(l) ± i Im(l), with Re(l) = 0 and dRe(l)/dp > 0. Then, for |p - pH| sufficiently small, there exists a one-parameter family of small amplitude limit cycles for one of the following three conditions: (1) p > pH, in which case the limit cycles are stable. (2) p < pH, in which case the limit cycles are unstable. (3) p = pH, in which case the limit cycles are neutral. Comments. Case (3) is unusual (‘structurally unstable’). In cases (1) and (2), the limit cycles are parameterized by the distance from the bifurcation point: |p - pH|. The amplitude of the limit cycle grows like SQRT(|p – pH|), and the period of the limit cycle is close to 2p/Im(l).

x x p p Supercritical Hopf Bifurcation sss uss max min unstable limit cycle Subcritical Hopf Bifurcation max x sss uss min stable limit cycle p

Numerical Bifurcation Theory How to locate a Hopf bifurcation? When following a steady state as p changes, simply look for Re(l) = 0 How to follow a periodic solution? 1 t = t/T x(t) Hopf’s theorem tells us how to approximate the periodic solution for |p – pH| sufficiently small in terms of sin(wt) and cos(wt), where w = Im(l). Use this initial guess to compute the exact periodic solution and then follow the solution as p changes.

Stability of Periodic Solutions The stability of a periodic solution is determined by its “Floquet Multipliers”. Let P be a plane that is transverse to the periodic solution at a particular point: P Let y0 = x(0)-x0 be a small initial displacement in P from the periodic solution at x0. Starting at y0, integrate the ODEs forward in time until you return to P at point y1 = x(T)-x0. This procedure defines a nonlinear mapping yk+1 = Y(yk), which can be…

(See Kuznetsov, Section 5.3) Re(m) Im(m) …linearized: yk+1 = Myk . The eigenvalues mi of the matrix M are known as the Floquet multipliers of the periodic solution. The periodic solution is stable if all the multipliers lie within the unit circle in the complex plane Period-doubling bifurcation Torus Cyclic-fold (See Kuznetsov, Section 5.3)

A typical bifurcation diagram slc 1 5 slc ulc Period-doubling 3 Cyclic Fold ulc uss x sss Subcritical Hopf Bifurcation 4 2 p

References Strogatz, Nonlinear Dynamics and Chaos (Addison Wesley) Kuznetsov, Elements of Applied Bifurcation Theory (Springer) XPP-AUT www.math.pitt.edu/~bard/xpp Oscill8 http://oscill8.sourceforge.net