Lecture Schedule and Homework

MATH 2413

This page gives an approximate schedule of the topics covered in lecture and related homework problems.



M Aug 19 Class business; 
         Calculus of Variations;
         What is an ODE? 
         Exercise: How do you minimize a functional E:F --> R?
         Read Section 1.1 and do some exercises.
W  21    Calculus of Variations (cont.)
         What is an ODE? (cont.)
         Exercises: 1. Think about the area functional.  (Should the 
         (constant multiple of 2 pi matter in finding a minimizer?)
         2. Find all solutions of the n-th order equation 
                       y^(n) = p(x)
         where p(x) is a polynomial and y = y(x).
         3. Find a first order system that is equivalent to the n-th 
         order ODE y^(n) = (y^2+7)log(y').
F  23    Playing around with the area of 
         rotationally symmetric surfaces.
         Exercises:  1. Compute A(f) for various functions (e.g., when 
         the graph of f is a straight line, a piece of a parabola, or 
         an arc of a circle.)  What kind of function gives the least 
         area?
         2. Prove that if the minimizer has any point on the axis of 
         rotation, then the minimizer must be the singular solution 
         given in class (two disks).
         3. Compute the potential energy of a chain of constant linear 
         density rho whose position is given by the graph of a function 
         f with prescribed values at the endpoints of an interval.
         4. Compute the time it takes a bead that starts from rest at 
         (0,c) and slides without friction under the force of gravity 
         down a straight rod to the point (b,0).
M  26    The First Variation (Part I)
         ODE Overview
         Exercises: 1. If integral(h(x) eta(x)) dx = 0 for all bumps 
         eta, what can you say about h?
         2. (Book problems (first edition) 1.2.1,2,4)
         3. (Book problem  (first edition) 2.3.13(a); write down the 
         associated system)
W  28    The First Variation (Part II)
F  30    Variational ODE (Euler Lagrange Equation)
         Read section 1.2, work some problems
M Sept 2 Holiday
W  4     Calculus of Variations (examples)
         Separable Equations (Section 1.2 in the book)
         Exercises: 1. Find the first integral for the minimizer
         of A(y) = int y sqrt(1+y'^2) dx (the area integral).
         Solve the resulting first order ODE.
         2. Minimize E(y) = int sqrt(1+y'^2) dx over C^1 with 
         fixed endpoints.  What is E(y) geometrically?
Th 5     Separable Equations 
         (Final comments on the overview of ODEs---the big picture) 
F  6     Quiz 1 Calculus of variations
M  9     Modeling Populations
         Exercise Do some mixing problems like 1.2.40.
W 11     Direction Fields and Vector Fields
         Exercises: 1. Read section 1.3 and work some problems.
         2. Use Mathematica to plot the direction field of a first 
         order equation (try one automonomous, one of the form 
         y'=f(x), and one that is niether of those).  Use 
         Mathematica to plot the vector field of a 2x2 system.
F 13     Dynamical Systems Terminology for Autonomous Systems
         Quiz 1 reworks due
M 16     1.8 Linear First Order Equations
             (plus some comments on general linear equations 
              and existence and uniqueness)
         Do some problems from section 1.8
W 18     3.6 Second Order Linear Equations with constant coeffs.
F 20     Class will be held in Skiles 202.
M 23     More remarks on linear equations
         1.4 and 2.4 Numerical Methods
         Problems 1.4.5,6,12
W 25     Quiz 2 First Order Equations
F 27     1.5 Existence and Uniqueness (a second pass)
         (Long time existence for linear equations)
         Problems 1.5.12,13,18
M 30     1.6 First Order Autonomous Equations; Linearization
         Exercises:  1. Consider the equation y'=f(y) with f Lipschitz.  
         Assume y_1 is the greatest zero of f and y_0 > y_1.  Show 
         that if y is a solution with y(0)=y_0 and y is defined for 
         0 < t < infty, then (a) y is defined for all time, and (b) 
         lim(as t --> infty) y(t) = infty.
         2. Prove that in one dimension, attractive implies strictly stable.
         Problems: 1.6.1-12,29-36 
T Oct 1  First Order Autonomous Equations (cont.)
W  2     Linearization of a single equation
Th 3     Quiz 3  Classifying Equations; Linear Const. Coeff. Equations 
F  4     RM 202 Skiles 
         Chapter 3
         2x2 Linear Systems with Constant Coeffs. (Linear Equivalence)
M  7     Back in RM 246 Skiles
         The First Variation (Part III) Lagrange Multiplier)
W  9     RM 202 Skiles 
         Analysis of Canonical Systems 
F  11    RM 202 Skiles
         Matrix Exponentials
M  14    Fall Break
W  16    RM 202 Skiles
         Linearization of Plane Systems
F  18    RM 202 Skiles
         Linearization of Plane Systems (cont.)
M  21    Review
T  22    Exam 4 (serious exam) 
         Existence/Uniqueness, Dynamical Systems Terminology,
         Single First Order Autonomous Equation
W  23    Harmonic Motion; Second order nonautonomous equations
         Relevant Sections: 2.1-2; 3.1-6 (work problems from these)
Th 24    4.1-2 Resonace and Forcing
F  25    Resonance and Forcing (cont.)
M  28    4.2-4 Resonance and Near Resonance
         Problem 4.3.26
         Work Problems in 4.4
W  30    5.1 Linearization 
F Nov 1  5.1 Linearization (cont.)
         Work Problems in 5.1
M   4    5.2 Global aspects of nonlinear systems (nullclines; 
         separatrices)
         Work Problems in 5.2
W   6    5.3-4 Hamiltonian Systems and Liapunov Functions
         Work Problems in 5.3-4
         5.6 Chaos
F   8    Exam 5 Linear Constant Coefficient Systems and Linearization
M  11    More Chaos
T  12    Laplace Transforms (Chapter 6)
W  13    1.7 Bifurcations
Th 14    Laplace Transforms
F  15    Problems on Laplace Transforms
         Numerics and numerical packages
M  18
T  19    Shifting along the frequency axis
W  20
Th 21    Shifting along the time axis
F  22    Second project checkpoint; preliminary webpages due
M  25    Exam 6 (tentative date)
         Forcing and Resonance, Nonlinear Equations (global aspects), 
         Computing Laplace Transforms
T  26    Convolution and review
W  27    Distributions (preliminaries; impulsive forces)
Th 28-29 Holiday
M Dec 2  Distributions (part II)
T   3    
W   4
Th  5    Exam 7 Laplace Transforms
F   6   

T   10  2:50 Project presentation
Kathryn Sisson, Kevin Guthrie, Laurence Lindsey, Mashruba Tasneem 
(water rocket)  (filmed?)
W   11 5:40-7:00 Projects:
Justin Melvin, Jennifer Lee, Joshua Cuneo, Narendhra Seshadri 
(Donnelly's Spinning Cylinder)
Saad Khan (Growing Mold)
Jeremy Corbett, Jeremy Miller (Spring-rubber band oscillator)
Th  12 2:50-5:40 Projects:
Nhan Dihn and Vishal Patel (magnetic oscillator)
Brandon Luders and Steven Lansel (Gravity fed water flow)
Christal Gordon (Modeling Neurons)
Elise Bisecker and Michael Abraham (Lorentz Water Wheel)