komplexe systeme in der biologie
TRANSCRIPT
Klausur zum Modul
Komplexe Systeme in der BiologieProf. Dirk Brockmann
Sommersemester 2015
Institut für theoretische Biologie - Institut für Biophysik
Institut für Biologie
Fakultät für Lebenswissenschaften
Humboldt Universität zu Berlin
22. Juli 2015 - 8:30 - 10:00 Uhr - Bearbeitungszeit 90 min.
• On every problem you can earn 10 points, the maximum score for the test is 100 points.
• Write your name on every sheet of paper (lower left corner).
• If you need additional sheets of paper ask for them.
• Calculators are neither required nor allowed.
• You can earn up to 20 points drawn from your score on the midterm exam.
Name, Matr.Nr.: 1
1. [10 pts.] Below are three images. What process generated these structures? Whatquantity would you employ to quantify differences in their structure?
Name, Matr.Nr.: 2
2. [10 pts.] Below are snapshots of four two-dimensional patterns generated by four differentpattern forming mechanisms (listed below, also). Identity which pattern is generated bywhich process.
a) a system that is driven by local excitation and global inhibition.
b) a lattice system in which, at each time step, a lattice site randomly picks a neighborand changes its own state to the neighbors state.
c) a lattice system of phase-coupled oscillators in which each lattice point is a phaseoscillator that interacts with its neighbors according to the Kuramoto equation.
d) a spreading process near the critial point.
Name, Matr.Nr.: 3
3. [10 pts.] Give one example of critical phenomena and explain how you would design asimulation to implement them on lattice numerically?
Name, Matr.Nr.: 4
4. [10 pts.] Analyse the following dynamical systems graphically, find their fixpoints anddetermine their stability.
a) x = �x
3 + x
b) x = x
2 + x� 2
Name, Matr.Nr.: 5
5. [10 pts.] The Viszek Model desribes the basic mechanism that could underly collectivemotion and swarming. Explain the Viskzek model, the basic ingredients, its propertiesand behavior.
Name, Matr.Nr.: 6
6. [10 pts.] Consider the dynamical system x = f(x) that corresponds to the graph shownbelow. Now consider the dynamical system
x = f(x) + �
where � is a parameter. Sketch the bifurcation diagram as you increase the parameter �qualitatively.
Name, Matr.Nr.: 7
7. [10 pts.] Consider a two dimensional dynamical system x = f(x, y), y = g(x, y). Assumethat it has three fixpoints (x1, y1), (x2, y2) and (x3, y3). Assume that for each fixpoint youhave computed the Jakobian, its trace s and its determinant � and you’ve found that
• for (x1, y1) : s = �1, � = 5
• for (x2, y2) : s = 3, � = 1
• for (x3, y3) : s = 1, � = �2
a) Classify the fixpoints and their stability
b) Draw the phase portrait of a hypthetical dynamical system with these fixpoints, in-clude a few trajectories.
Name, Matr.Nr.: 8
8. [10 pts.] Consider the two-dimensional dynamical system
x = 2� xy
y = x� 2y
a) Find the fixpoint of the system
b) Find its stability and classify the fixpoint
c) Draw the nullclines of the system
d) Sketch the phase portrait
Name, Matr.Nr.: 9
9. [10 pts.] What is the Kuramoto model for coupled oscillators? Discuss the properties andsynchronisation conditions for two oscillators. List biological examples where synchroni-sation is observed.
Name, Matr.Nr.: 10
10. [10 pts.] Assume you want to model a contagion phenomenon by the following interac-tions
A+B
↵�! 2A
A
��! B
a) Derive a system of differential equations of the concentration a(t) and b(t) of A andB “particles” in the system.
b) Show that you can simplify it to a one-dimensional dynamical system by using theconservation of particles (a(t) + b(t) = 1)
c) What are the conditions that a(t) > 0 as t ! 1.
d) How would you implement such a dynamical system on a lattice for example innetlogo. Just sketch your implementation idea, no explicit code necessary.
Name, Matr.Nr.: 11