Exothermic reaction: stationary solutions Dynamic equations x – reactant conversion y – rescaled temperature Stationary temperature: find its dependence.

Slides:



Advertisements
Similar presentations
Delayed feedback control of chaos: bifurcation analysis N. Janson (Loughborough) Collaborators: A. Balanov and E. Schöll (TUB) Technische Universität Berlin.
Advertisements

Ch 7.6: Complex Eigenvalues
1 Riddling Transition in Unidirectionally-Coupled Chaotic Systems Sang-Yoon Kim Department of Physics Kangwon National University Korea Synchronization.
Bifurcation * *Not to be confused with fornication “…a bifurcation occurs when a small smooth change made to the parameter values of a system will cause.
Predation (Chapter 18) Predator-prey cycles Models of predation
1 Ecological implications of global bifurcations George van Voorn 17 July 2009, Oldenburg For the occasion of the promotion of.
Arshak Grigoryan Project for Math. Modeling. Predator-Prey model (By Odell) Lets consider one of the variations of the Odell`s model where x, y are population.
1 Predator-Prey Oscillations in Space (again) Sandi Merchant D-dudes meeting November 21, 2005.
Ecological consequences of global bifurcations
Practical Bifurcation Theory1 John J. Tyson Virginia Polytechnic Institute & Virginia Bioinformatics Institute.
Weakly dissipative system – local analysis Linear stability analysis orHopf bifurcation: S + /U + : upper state exists and is stable/unstable S – /U –
Dynamical Systems Analysis III: Phase Portraits By Peter Woolf University of Michigan Michigan Chemical Process Dynamics and Controls.
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.
Chapter 3: Bifurcations ● Dependence on Parameters is what makes 1-D systems interesting ● Fixed Points can be created or destroyed, or the stability of.
Lorenz system Stationary states: pitchfork bifurcation: r= 1
Saddle torus and mutual synchronization of periodic oscillators
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.
Analysis of the Rossler system Chiara Mocenni. Considering only the first two equations and ssuming small z The Rossler equations.
Boyce/DiPrima 9th ed, Ch 9.7: Periodic Solutions and Limit Cycles Elementary Differential Equations and Boundary Value Problems, 9th edition, by William.
John J. Tyson Virginia Polytechnic Institute
Multistability and Hidden Attractors Clint Sprott Department of Physics University of Wisconsin - Madison Presented to the UW Math Club in Madison, Wisconsin.
Dynamical Systems 2 Topological classification
Chaotic Stellar Dynamo Models Math 638 Final Project Rodrigo Negreiros Ron Caplan.
Lorenz Equations 3 state variables  3dimension system 3 parameters seemingly simple equations note only 2 nonlinear terms but incredibly rich nonlinear.
BME 6938 Neurodynamics Instructor: Dr Sachin S Talathi.
Ch 9.8: Chaos and Strange Attractors: The Lorenz Equations
LURE 2009 SUMMER PROGRAM John Alford Sam Houston State University.
Dynamical Systems 2 Topological classification
Population Dynamics Application of Eigenvalues & Eigenvectors.
Governor’s School for the Sciences Mathematics Day 4.
John J. Tyson Virginia Polytechnic Institute
1 Synchronization in Coupled Chaotic Systems Sang-Yoon Kim Department of Physics Kangwon National University Korea Synchronization in Coupled Periodic.
Boyce/DiPrima 9 th ed, Ch 7.6: Complex Eigenvalues Elementary Differential Equations and Boundary Value Problems, 9 th edition, by William E. Boyce and.
Biological Modeling of Neural Networks Week 4 – Reducing detail - Adding detail Wulfram Gerstner EPFL, Lausanne, Switzerland 3.1 From Hodgkin-Huxley to.
1 Universality for the Intermittent Route to Strange Nonchaotic Attractors in Quasiperiodically Forced Systems W. Lim and S.-Y. Kim Kangwon National University.
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.
1 Band-Merging Route to Strange Nonchaotic Attractors in Quasiperiodically Forced Systems Woochang Lim and Sang-Yoon Kim Department of Physics Kangwon.
1 Strange Nonchaotic Attractors in Quasiperiodically Forced Period-Doubling Systems  Quasiperiodically Forced Systems  : Irrational No.  Typical Appearance.
“An Omnivore Brings Chaos” Penn State Behrend Summer 2006/7 REUs --- NSF/ DMS # Malorie Winters, James Greene, Joe Previte Thanks to: Drs. Paullet,
Dynamical Systems 3 Nonlinear systems
Various Applications of Hopf Bifurcations Matt Mulvehill, Kaleb Mitchell, Niko Lachman.
V.V. Emel’yanov, S.P. Kuznetsov, and N.M. Ryskin* Saratov State University, , Saratov, Russia * GENERATION OF HYPERBOLIC.
James A. Roberts, Karl J. Friston, Michael Breakspear 
The Cournot duopoly Kopel Model
Biointelligence Laboratory, Seoul National University
Date of download: 12/20/2017 Copyright © ASME. All rights reserved.
Date of download: 12/26/2017 Copyright © ASME. All rights reserved.
One- and Two-Dimensional Flows
Chaos Theory MS Electrical Engineering Department of Engineering
Joshua D. Salvi, Dáibhid Ó Maoiléidigh, A.J. Hudspeth 
Modeling of Biological Systems
Volume 95, Issue 2, Pages (July 2008)
Chaos Theory MS Electrical Engineering Department of Engineering
A Theoretical Model of Slow Wave Regulation Using Voltage-Dependent Synthesis of Inositol 1,4,5-Trisphosphate  Mohammad S. Imtiaz, David W. Smith, Dirk.
Chaos Synchronization in Coupled Dynamical Systems
“An Omnivore Brings Chaos”
Woochang Lim and Sang-Yoon Kim Department of Physics
Periodic Orbit Theory for The Chaos Synchronization
Torus Bifurcations and Dynamical Transitions
Hopf Bifurcations on a Scavenger/Predator/Prey System
Volume 6, Issue 4, Pages e3 (April 2018)
Effect of Parameter Mismatch and Noise on The Loss of
Poincare Maps and Hoft Bifurcations
Multistability and Hidden Attractors
Ping Liu, Ioannis G. Kevrekidis, Stanislav Y. Shvartsman 
Presentation transcript:

Exothermic reaction: stationary solutions Dynamic equations x – reactant conversion y – rescaled temperature Stationary temperature: find its dependence on m from the plot at the left; multiple solutions at h > 4 multiplicity region h = 3 h = 5 h = 4 h ln m m y

Exothermic reaction: stability multiplicity region h ln m Use static relations Compute Jacobi matrix Det(Jacobi)=0 Trace(Jacobi)=0 Hopf bifurcation Parametric plot: Cusp at y=2

Dynamics near a saddle-node bifurcation NB: near the emerging saddle–node pair the trajectories go along the eigenvector x=y/h – almost 1d dynamics h = 4.5  = approaching trajectories escaping trajectory upper state

Exothermic reaction: stability diagram at g=0.5 In the region A outside the cusped region there is a single stationary state, which is unstable. In the region B there are one stable (lower) and two unstable (upper and intermediate) stationary states. In the region C both the upper and lower stationary states are stable, and the intermediate one is unstable h ln m The lower state may also lose stability as a result of a Hopf bifurcation at lower values of g

Stability diagram at different values of g Solid line: supercritical Dashed line: subcritical h  lower state upper state Re  vs. g upper state intermediate state lower state

Periodic orbits: from Hopf to saddle–loop Periodic orbits surrounding the upper state. The amplitude and period of oscillations T increase with decreasing g T Map of supercritical and subcritical Hopf bifurcations parametrized by the value of the parameter g and the dimensionless temperature at the bifurcation point y h=4.5 m =7 y g

Unstable periodic orbits and basin boundaries Unstable periodic orbits surrounding the lower state; the amplitude and period grow with increasing g (h=4.5, m=7) from Hopf at g =0.246 to SL at g =0.269 The trajectories starting outside the attraction basin of the lower stationary state are attracted to a large-amplitude limit cycle. Below: trajectories at g = 0.3. The basin is bounded by two trajectories connecting the upper state (unstable node) with the saddle

Excitable dynamics & Summary The lower stationary state and the large- amplitude cycle coexist as alternative attractors in the interval 0.269<g<0.329, with the attraction basin of the stationary state gradually expanding to fill a larger part of the interior of the limit cycle. Summary: attractors at different values of g and Hopf (H) and saddle-loop (SL) bifurcations Excitable dynamics at g = 0.32 (between two SL bifurcations)

single s.s Bifurcation diagram for catalytic CO oxidation