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Syllabus:
Differential
Equations&Mathematica
Authors: Bill
Davis and Jerry Uhl ©1999
Producer: Bruce
Carpenter
Publisher:
Distributor: ![]()
These lessons are used in Math 385, 286 and 351.
![[Graphics:Images/285syl_gr_4.gif]](385syl_files/285syl_gr_4.gif)
![[Graphics:Images/285syl_gr_5.gif]](385syl_files/285syl_gr_5.gif)
How to write down formulas for solutions of
.
How to use integrating
factors to get formulas for solutions of
.
If
, then all solutions of
go
into the same steady state.
Exponential models.
The jump function
and the impulse function ![]()
Impulse forcing the exponential
diffeq with a Dirac Delta function; The physical meaning of the impulse
force.
The superpositio n principle.
![[Graphics:Images/285syl_gr_13.gif]](385syl_files/285syl_gr_13.gif)
The undamped unforced oscillator
< br>The damped unforced
oscillator
The damped forced oscillator
< br>Steady state and transients
for forced damped oscillators
Resonance and beating
Euler
Identity
The characteristic equation
Using convolution i
ntegrals to try to get formulas solutions of the forced
oscillator diffeq
Resonance
Forcing an
oscillator with a Dirac Delt a function;
the physical meaning of the
impulse hit
Amplitude and frequency of unforced
oscillators
Underdamped,critically damped,and overdamped oscillatorsBoundary value problems
![[Graphics:Images/285syl_gr_17.gif]](385syl_files/285syl_gr_17.gif)
The Laplace transform of a function ![]()
How to write down the Laplace
tranform of the solution of a forced oscillator
diffeq
Solving forced oscillator diffeqs by inverting
Laplace tran sforms
Fast Fourier point fit and Fourier integral fit
Combining Fourier fit and the Laplace transform to come up with good
approximate formulas for periodically forced
oscillators
Fourier analysis for detecting resonance
![[Graphics:Images/285syl_gr_19.gif]](385syl_files/285syl_gr_19.gif)
Euler's method of faking the plot of the solution of a differential
equation
and how it highlights the fundamental issue of
diffeq
Reading a diffeq t hrough flow plots
Solving
diffeq's numerically with Mathematica
Systems of interacting
differential equations: The predator-prey model
Sensitive dep endence
on starter data
The drinking versus driving model
Population models
and control; Logistic harvesting
Lanchester war model
![[Graphics:Images/285syl_gr_20.gif]](385syl_files/285syl_gr_20.gif)
Reading an autonomous diffeq through phase lines
Automomous diffeqs
with parameters. Bifurcations and bifurcation points
Hand symbol
manipulation: Separating the variables
Population models and
control
Using bifurcation plots to study E. Coli growing in a
chemostat
Automatically controlled air conditioning
Getting t here
in infinite time versus getting there in finite time
![[Graphics:Images/285syl_gr_21.gif]](385syl_files/285syl_gr_21.gif)
Flows and their trajectories as pairs of solutions of a system of
differential equations
Flow analysis of the unforced linear
oscillator differential equa tion by converting it to a system of two
first order differential equations
Equilibrium points
Damped
oscillators, undamped oscillators and van der Pol's nonlinea r
oscillator
Linear systems and graphical meaning of eigenvectors of the
coefficient matrix
Pursuit models
Boundary value problems: Shooting
for a specified outcome
![[Graphics:Images/285syl_gr_22.gif]](385syl_files/285syl_gr_22.gif)
Eigenvectors of the coefficient matrix point in the directions of
strongest inward and/or outward flow
Eigenvalues of the coefficient
matrix indicate realtive streng hs of inward and/or outward
flow
Eigenvalue-trajectory analysis to predict swirl in,swirl out or no
swirl at all
Stability and instability
Reservoir Models for drug
metabolization
Linear systems in life science, chemistry and electrical
engineering
Higher dimensional linear systems
![[Graphics:Images/285syl_gr_28.gif]](385syl_files/285syl_gr_28.gif)
Using the Jacobian to approximate a nonlinear diffeq system by
linearizing at equilibrium points
Attractors and repellers:Lyapunov's
rules for detecting them via ana lysis of the eigenvalues of the
Jacobian
The pendulum oscillator: Damped and undamped
When
linearizations can be trusted and when they shouldn't be
trusted & nbsp;
Linearization of pendulum oscillators: Using
linearzation to estimate the amplitude and frequency of a pendulum
oscillator
Energy and the undamped pendulum oscillator
The Van der
Pol oscillator
Gradient and Hamiltonian systems
Lorenz's chaotic
oscillator
![[Graphics:Images/285syl_gr_29.gif]](385syl_files/285syl_gr_29.gif)
Rigging
on
to
get a pure sine fast Fourier fit of
on
Fourier Sine fit for
solving the heat equation.
Fourier Sine fit for solving the wave
equation.
Solving the heat and the wave equations in the case that
initial data are given by a data list.
Copyright © 2006 Calculus & Mathematica at UIUC
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