Suggested Projects for Math 336, (Dynamical Models in Biology) Fall 2025 (Rutgers University)

http://sites.math.rutgers.edu/~zeilberg/Bio25/projects.html

Last Update: Nov. 1, 2025

All projects are due (.pdf and .txt and optionally .mw) Wed. Dec. 10, 8:00pm. The project leader should email

ShaloshBEkhad@gmail.com

Subject: Projects X

with attachments: projectX.pdf, projectX.txt, (optionally projectX.mw)

Projects and Teams

  1. A full Maple implementation of

    Dynamic complexity in predator-prey models framed in difference equations by

    by J.R. Beddington et. al. , Nature v. 255 (1975), pp 58-60. Hopefully also study related papers.

    Team Leader: tbd

    Other members: tbd


  2. Investigate numerically (and who knows, even solve) some of the conjectures in this intriguing paper "SI and SIR Epidemic models by Linda J.S. Allen.

    Team Leader: tbd

    Other members: tbd


  3. Investigate numerically (and who knows, even solve), some of the conjectures, and similar ones, in this intriguing paper "Convergence to Periodic Solution" by A.M. Amleh and G. Ladas

    Team Leader: tbd

    Other member: tbd


  4. Study numerically the ultimate perodic orbits for various parameters of the generalized discrete Logistic Equation

    x(n)=k x(n-1)(1-x(n-1)).

    These generalizations should have more parameters. For exampla:

    x(n)=k x(n-1)^a (1-x(n-1))^b ,

    that has three parameters (k, a, and b). Also study second- (and higher-) order difference equations, e.g.

    x(n)=k x(n-1)(1-x(n-1))(1-x(n-2)) ,

    and more generally

    x(n)=k x(n-1)^a(1-x(n-1))^b(1-x(n-2))^c ,

    etc.

    Team Leader: tbd

    Other team members: tbd


  5. Investigate at depth, both numerically and analytically, generalizations of the Hardy-Weinberg rule with with more realistic assumptions.

    Team Leader: tbd

    Other member: tbd


  6. Definining in Maple

    F:=proc(A,k,x) local i: x-mul(x-A[i],i=1..nops(A))/k:end:

    where A is a given increasing list of positive numbers (for the sake of simplicity make them integers), find the smallest k where it starts having non-empty steady-states, let's call it CutOff(A). for k above the cutoffs, find the "basin of attraction" of each of the stable steady-states. For k smaller than the Cutoffs find whether f(f(x)) (use Compk in DMB.txt) has stable steady-states.

    Team Leader: tbd

    Other member: tbd


  7. For many choices of T:=RT([x,y],1000): Find what fraction have a stable equilibrium point and write a numerical procedure to find the basin of attraction for those that do.

    Team Leader: tbd

    Other member: tbd


  8. Using procedures

    GeneNet(a0,a,b,n,m1,m2,m3,p1,p2,p3) and TimeSeries(F,x,pt,h,A,i)

    in the Maple package DMB.txt

    Investigate, at depth, the gene network model described in Chapter 4 of the Ellner-Guckenheimer book

    Draw may diagrams like those in figures 4.2,4.3, 4.4 in that book, and try to group the `parameter space' into the `periodic case', giving diagrams like figure 4.2, and the `stable equilibrium' case, giving diagrams like figure 4.3.

    Team Leader: tbd

    Other members: tbd


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