Spring 2005:
Wk 1:
Mon Jan 16 (Lect 1): Course mechanics, introduction, computer demonstration,
introduction to modeling. (Sect 1.1). What it means for a function to be a
solution of a differential equation. Guess and Check method. Individual worksheet, Group worksheet. For Wed, fill
out the information survey part 1
and part
2.
Wed Jan 18 (L2): Examples of models (worksheet),
calculating parameter values
in exponential model, how good is
the exponential population model (data
table), logistic population model and computer graphing.
Wk 2:
Mon Jan 24 (L3): Estimating derivative from a data table. Slope fields (Sect
1.3). Slope field worksheet pt1,
pt2. Long term
behaviour, sensitive dependence,
constant solutions (worksheet).
Wed Jan 26 (L4): Finished with worksheet on long term behaviour, sensitive
dependence, butterfly effect and chaos; also constant solutions, attracting
(sink) and repelling (source) equilibrium solutions.
Wk 3:
Mon Jan 30 (L5): Homework session.
Wed Feb 1 (L6): Phase line (picture/portrait) (Sect 1.6), Euler’s method
(Sect 1.4) with group worksheet.
Wk 4:
Mon Feb 6 (L7): Separation of Variables (Sect 1.2), worksheet. Fishing
game. Article about real world
fish stock collapses on reserve in the library.
Wed Feb 8 (L8): Review of modeling via exponential model, population models, start of logistic
model with harvesting (Sect. 1.7), Harvesting worksheet, Mixing model worksheet. Readings about environmental issues
handed out: “Biologists sort lessons of Fisheries Collapse” and “Canada to
shield 5 million forest acres” – available in hard copy from Prof.
Donnay.
Wk 5:
Mon Feb 13 (L9): Paper review of harvesting write up (feedback rubric), harvesting rewrite instructions. Handout
of answer key to mixing problem (paper copy available). Strategies for solving
modeling problems.
Wed Feb 15 (L10): People who had studied the same C value compare their
results and write up summary.
Creating bifurcation diagram (Sect 1.7) and its implications for fishing limits
(group worksheet).
Wk 6: Mon Feb 20: (L11): Review
for midterm (worksheet).
Wed Feb 22: (L12) Start existence
and uniqueness of solutions of differential equations (Sect 1.5). Learn about the harvesting problem of
the Tibetan snow lotus plant and the attempt to determine a Wisustainable
harvesting level on National
Public Radio.
Wk 7: Mon Feb 27 (L13): Formal Existence
Theorem and Uniqueness (notes
Sect 1.5), Linearity and application to linear differential equations (notes Sect 1.8)
Wed
March 1 (L14): Techniques for finding particular solutions to non-homogeneous
linear differential equations (Sect 1.8). Method of Undetermined
Coefficients = educated guessing!
General first order linear system. Constant coefficients and non-constant
coefficients. (notes)
Wk 8: Mon March 13th (L15): Systems
of Ordinary Differential Equations (Sect. 2.1, 2.2). Drawing solution curves using
HPGSystemSolver . Graphing a
vector field (pdf
version).
Wed
March 15th (L16): Predator-Prey model derivation. Very simple,
uncoupled system; its solutions and phase space. More complicated model with
coupling caused by predator-prey interaction. Finding equilibrium solutions.
Saddle equilibrium.
Wk 9: Mon March 20 (L17): Comments about upcoming hw assignment and
how to interpret the coefficients in a model.
Curve given by parametric equations
(x(t), y(t)); its tangent/velocity vector (x’(t), y’(t)). A curve is a solution
of the system of differential equations if its tangent/velocity vector matches
up with the vector field given by the system.
A non-linear system can be studied by
finding equilibrium points and examining phase portrait in neighborhood of
equilibrium point. These phase portraits agree with the phase portrait given by
a linear system (the linear approximation to the system, where the
approximation is based at the equilibrium point). The non-linear phase portrait
is created by patching together the linear approximation pieces. For a while we will focus on linear
systems; such systems can be written in vector notation using matrices.
Interpret a matrix as giving a linear transformation from R2 -> R2.
Worksheet and graph paper.
Wed
March 22 (L18): Go over the matrix
transformation worksheet. Learn about eigenvectors and eigenvalues (worksheet) (Sect 3.2) and Linearity
(Sect 3.1).
Wk 10: Mon March 27 (L19): Connect
eigenvalues and eigenvectors to systems of differential equations. Eigenvectors
and eigenvalues combine to give particular solutions – the straight line
solutions Y1 and Y2. Then using linearity of the system, which is based upon a
matrix transformation being linear, we showed that the general solution is a
linear combination of the straight line solutions: Y(t) = k1 Y1(t)
+ k2 Y2(t). Worksheet.
Wed
March 29 (L20): Practice using eigenvalues, eigenvectors to find solutions of
systems and to draw phase plane pictures by doing a long, multi-step problem.
Wk 11: Mon April 3 (L21): Complex
eigenvalues; real and imaginary parts of solutions; spirals. Sect 3.4. Worksheet.
Wed
April 5 (L22): More on complex eigenvalues. Repeated eigenvalues (Sect. 3.5).
Wk 12: Mon April 10 (L23): Sect 5.1:
Non-linear systems and linearization. Worksheet.
Wed April 12 (L24): Sect 5.1:
Linearization via Jacobian matrix, Improved numerical methods (Ch 7). Lab instructions, Euler
method, Improved Euler method, Runge-Kutta method.
Wk 13: Mon April 17th:
Improved Euler, Runge-Kutta.
Wed
April 19th: review for midterm.
Wk 14: Monday April 24th:
Mathematical epidemiology: SIR and SIRS models.
Wed
April 25th: surveys; playing with fun programs: Butterfly effect;
Lorentz equations, Chemical Osciallations,TD Animations.
Spring 2003
Wk 1:
Tues Jan 21 (Lect 1): Course mechanics, introduction, computer
demonstration, introduction to modeling. (Sect 1.1). What is means for a
function to be a solution of a differential equation. Guess and Check method.
Thur Jan 23 (L2): Read Sect. 1.1. Guess and Check method (worksheet#0); making a model (i.e. a differential
equation) to represent a problem (worksheet#1),
terms: 1st order, 2nd order, linear, non-linear, linear
combination of solutions are also solutions. Population model via exponential
function using data.(worksheet #2
CensusData)
Wk 2
Tues Jan 28 (L3): Sect 1.1. What does population model predict? How good are
predictions? Read Section 1.3; slope fields. Detools - HPGSolver. Slope Field Worksheet1, SlopeField Worksheet2
Thur Januray 30 (L4): Sect. 1. 6: Equilibrium points and the classification
of such points (sink, source). Sect 1.4: Numerical solutions of differential
equations via Euler Method. Worksheet for
Euler's Method. Vocabulary: 1st order, 2nd order;
linear, non-linear, autonomous, non-autonomous.
Wk 3
Tues Feb 4 (L5): Review Euler Method and do worksheet (see above). Sect. 1.1
Logistic Population Model, Sect 1.6 Qualitative Analysis using equilibriums,
slope function f(P). Graphing all possible solutions on one picture,
equilibrium solution, attracting (sink) or repelling (source) equilibrium.
Thur Feb 6 (L6): Sect. 1.2: Mixing Model. Analytic techniquies. Separable
equations, solution via integration. Need to review basic techniques of
integration.
Wk 4 Lab 3 handout, Euler Method Program
Tues Feb 11 (L7): Solving mixing problems using separation of variables,
finding particular solutions, relation with slope field method. . Existence of
solutions (Sect. 1.5). Worksheet for
Separation of Variables and answer key to
worksheet.
Thur Feb 13 (L8): Existence and Uniqueness (Sect 1.5 ). Uniqueness
Theorm implies that solutions curves can not cross.
Wk 5:
Tues Feb 18 (L9): Snow, no class.
Thur Feb 29 (L10): Linear DEs. Homogeneous and Non-Homogeneous equations.
General solution of the form y = yh + yp . Method of
Undetermined Coefficients to determine yp.
Wk 6:
Tues Feb 25 (L11): More on Method of Undetermined Coefficients. Integrating
Factor for linear, first order DEs (Sect. 1.8)
Thur Feb 27 (L12): Mixing Problem with variable volume (Sect 1.8), Proof
that general solution of inhomogeneous is of the form y = yh + yp.
Notions of linearity.
Wk 7:
Tues March 4 (L13): Fishing Industry Simulation.
Thur March 6 (L14): (Sect 2.1, 2.2). Bifurcation diagram for logistic map
with harvesting (S. 1.7), Gp worksheet
for bifurcation diagram.
Spring Break: Tues March 11, Thur March 13.
Wk 8
Tues March 18 (L15): Introduction to Systems of Equations. Geometric,
Numerical approaches. Equilibrium points, meaning and calculations. Predator-Prey
models. Interaction term. Physical interpretation of sign of interaction term
(Competition, Cooperation). Parametric equations, tangent vectors, system of
differential equations, vector fields. Gp
worksheet.
Thur March 20 (L16): Review of Bifurcation points (S. 1.8) - see the program
PhaseLines. Geometric meaning of a solution of a system of differential
equations: rhs = tangent vector to curve; lhs = vector field. These should
match.
Wk 9: Lab 4: Linear Systems
Tues March 25 (L17): (S. 2.3) Analytic solutions of a system; Guess and
Check. Linear combinations of a solution is still a solution (S. 3.1). General
solution. gps/02gplinearalgebra.pdf
Thur March 27 (L18): (S. 2.1, 2.2, 2.3) Converting 2nd order DE
into first order system: worksheet.
Example of 2nd order equation: Simple Harmonic motion: springs, with
friction. Graphing curves x(t) and y(t) separately versus (x(t), y(t)). Program
DESketchPad. Writing a system using matrix notation. (S. 3.1)
Wk 10: file://localhost/labs/03lab5%20NonLinear.pdf.
Tues April 1 (L19): Properties of matrices. Superposition principle of
solutions, general solution of system. (S. 3.1). Eigenvectors (program
MatrixFields). Straight line solutions. (S.3.2).
Worksheet to draw solution curve and see straight line solutions.
Thur April 3 (L20): Calculating Eigenvalues, eigenvectors (3.2) Wksheet for eigenvalues, eigenvectors. Answer Key. Relation with straight line
solutions, phase portrait (3.3)
Wk 11:
Tues April 8 (L21) More practice with solutions of systems, graphing. Worksheet for solving system using
eigenvectors, eigenvalues. Answer Key .
Thur April 10 (L22): Review for mid-term.
Wk: 12
Tues April 15 (L23): Real eigenvalues, same sign, not equal; same sign
equal. (S 3.3). Complex numbers review (Appendix B). Complex worksheet. Answer Key complex worksheet.
Thur April 17 (L24): Solutions for complex eigenvalues (S. 4)
Wk 13: Tues April 22 (L25): Rotation matrix as explanation of spiral
behaviour in case of complex eigenvalues. Improved Euler Method (7.2). file://localhost/gps/03ImprovedEuler%20.pdf
on Improved Euler Method. Computer
programs for Euler, Improved Euler and Runge Kutta.
Thur April 23 (L26): Non-linear systems (S 5.1), Linear approximations near
equilibrium points, Jacobian Matrix, local phase portrait near equilibrium pt,
global phase portrait. Worksheet, answer key
to worksheet for Competing Species system.
Wk 14: Lab instructions, Euler method, Improved Euler method, Runge-Kutta method
Tues April 29 (L27): ). Linear approximation near an equilibrium point Local
and global phase portraits.
Thur April 30 (L28): Finish theory of linear approximations. Discussion of
rates of convergence for Euler, Improved Euler, and Runge Kutta methods of
numerical integration (Ch 7). file://localhost/computer%20pgms/NumericalMethodsData.PDF
from labs. Quick way to solve 2nd order equations (3. 6)
"On time and under budget"
Review of partial derivatives (worksheet).
Linear approximation near an equilibrium point (old
worksheet).
Another old (worksheet).