Bifurcations - PowerPoint PPT Presentation

1 / 23
About This Presentation
Title:

Bifurcations

Description:

Title: Folie 1 Author: Marco Thiel Last modified by: Thiel Created Date: 5/24/2005 7:12:08 PM Document presentation format: Bildschirmpr sentation – PowerPoint PPT presentation

Number of Views:237
Avg rating:3.0/5.0
Slides: 24
Provided by: MarcoT150
Category:

less

Transcript and Presenter's Notes

Title: Bifurcations


1
Bifurcations XPPAUT
2
Outline
  • Why to study the phase space?
  • Bifurcations / AUTO
  • Morris-Lecar

3
A Geometric Way of Thinking
Exact solution
4
Logistic Differential Equation
K
K
5
Graphical/Topological Analysis
  • When do we understand a dynamical system?
  • Is an analytical solution better?
  • Often no analytical solution to nonlinear systems.

6
Dynamics of Two Dimensional Systems
  1. Find the fixed points in the phase space!
  2. Linearize the system about the fixed points!
  3. Determine the eigenvalues of the Jacobian.

7
Love Affairs
  • Romeo loves Juliet. The more Juliet loves him the
    more he wants her
  • Juliet is a fickle lover. The more Romeo loves
    her, the more she wants to run away.

J
R
8
Exercise 1
  • Study with AUTO (see later) the forcast for
    lovers governed by the general linear system
  • Consider combinations of different types of
    lovers, e.g.
  • The eager beaver (agt0,bgt0), who gets excited by
    Juliets love and is spurred by his own
    affectionate feelings.
  • The cautious lover (alt0,bgt0). Can he find true
    love with an eager beaver?
  • What about two identical cautious lovers?

9
Rabbit vs. Sheep
  • We begin with the classic Lotka-Volterra model of
    competion between two species competing for the
    same (limited) food supply.
  • Each species would grow to its carrying
    capacity in the absence of the other. (Assume
    logistic growth!)
  • Rabbits have a legendary ability to reproduce,
    so we should assign them a higher intrinsic
    growth rate.
  • When rabbits and sheep encounter each other,
    trouble starts. Sometimes the rabbit gets to eat
    but more usually the sheep nudges the rabbit
    aside. We assume that these conflicts occur at a
    rate proportional to the size of each population
    and reduce the growth rate for each species
    (more severely for the rabbits!).

Principle of Competitive Exclusion Two species
competing for the same limited resource typically
cannot coexist.
10
Exercise 2
  • Study the phase space of the Rabbit vs. Sheep
    problem for different parameter. Try to compute
    the bifurcation diagram (see later in this
    lecture!) with respect to some parameter.

11
What is a bifurcation?
12
Saddle Node Bifurcation (1-dim)
Prototypical example
13
Synchronisation of Fireflies
14
Synchronised Fireflies
Suppose is the phase of the fireflys
flashing. is the instant when the flash
is emitted. is its eigen-frequency. If the
stimulus with frequency is ahead in the
cycle, then we assume that the firefly speeds up.
Conversely, the firefly slows down if its
flashing is too early. A simple model is
15
Synchronised Fireflies II
The equation can be simplyfied by introducing
relative phases Which yields
Introducing and
We obtain the non-dimensionalised equation
16
Transcritical Bifurcatoin
  • Prototypical example

17
Pitchfork Bifurcation
Prototypical example
18
Hopf-Bifurcation
Prototypical example
AUTO
19
Exercise 3
  • Repeat the Bifurcation analysis for all
    prototypical cases mentioned above!

20
The Morris Lecar System
21
Further Exercises
  • Analyse the QIF model with Auto.
  • Perform the bifurcation analysis for the
    Morris-Lecar system.
  • Perform a phase space/bifurcation analysis for
    the Fitzhugh-Nagumo system.
  • Perform a phase space/bifurcation analysis for
    the Hodgkin-Huxley system.
  • Use the manual for XPPaut 5.41 and try out some
    of the examples given in there.

22
Bibliography
  • Nonlinear Dynamics and Chaos, Strogatz
  • Understanding Nonlinear Dynamics, Kaplan Glass
  • Simulating, Analysing, and Animating Dynamical
    Systems, Ermentrout
  • Dynamical Systems in Neuroscience, Izhikevich
  • Mathematik der Selbstorganisation, Jetschke

23
End of this lecture
Write a Comment
User Comments (0)
About PowerShow.com