Learning goals

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Contents

Midterm 1

General knowledge of differential equations

  • Classify equations by linearity, order, ordinary/partial, non/homogeneous.
  • Definitions: solution, general solution, particular solution.
  • Verify that a given function is a solution to a given ODE.
  • Determine arbitrary constants using ICs.

First order equations

  • Determine correct integrating factor and solve equation.
  • Plot integral curves of an ODE (whole family of functions parametrized by an arbitrary constant).
  • Determine how many possibilities are there for $\lim_{t\to\infty} x(t)$ for different ICs, including parameter dependence.
  • Solve separable equations. Implicit form - pick the correct branch for given IC.
  • Modeling:
    • Given a word description, write down ODE(s), e.g. non-homogeneous Newton's Law of Cooling,
    • Given a word description, write down ODE(s), where description is, for example, of inflow/outflow to/from one-tank or unidirectional two-tank problems, possibly with time dependent inflow and/or total volume,

Second order equations

  • Determine independence of functions using the Wronskian.
  • Determine dependence of functions by finding a linear combination that sums to zero.
  • Work with complex numbers and Euler's equation.
  • Solve second order equations - solve characteristic equation and translate into general solution: distinct real roots, repeated real root, complex roots.
  • Given form of ODE and the general solution, determine the details of the ODE.
  • Use reduction of order to find a second solution when a first solution is given.
  • Recognize the structure of solutions - where is homogeneous part + nonhomogeneous part reflected in solutions?
  • Method of undetermined coefficients (MUC). ODEs with any RHS that has a finite family (or, by the end of term, Fourier series) and cases in which RHS (or member of its family) solves the homogeneous equation.
  • Determine correct form of $y_p$ for MUC (or work backwards to figure out unspecified RHS from given general solution).
  • Determine unknown coefficients in proposed $y_p$ as per MUC.

Midterm 2

Mass-spring systems

  • Rewriting a sum of sin and cos as a single phase-shifted cos (or sin).
  • Write down ODE given mass-spring physical parameters (mass, damping coefficient, spring constant, forcing function).
  • Determine over/under/critical damping and how parameters influence this classification.
  • Vibrations / forced mass-spring systems.
    • No damping - beats, resonance, response amplitude plot.
    • With damping - practical resonance, response amplitude plot.

Systems of ODEs

  • Finding eigenvalues, eigenvectors and generalized eigenvectors.
  • Writing down the general solution to systems with (i) real distinct eigenvalues, (ii) repeated real eigenvalues with a complete set of eigenvectors, (iii) repeated real eigenvalues without a complete set of eigenvectors (i.e. a defective matrix), (iv) complex eigenvalues.
  • Find steady states (constant solutions).
  • Classify steady states using trace/det plane, parametric curves in the trace/det plane, identify crossings (changes in classification at specific parameter values). Note: there are no problems of precisely this type in webwork; look at the midterms posted on the Handouts page.
  • Relate vector field to system of equations, vector field to solution.
  • Two-tank problems, including non-homogeneous term (constant vector case only).

Laplace transforms for solving second order equations

  • Laplace transforms (calculating them from the definition)
  • Using partial fraction decomposition for Laplace inversion.
  • Completing the square for Laplace inversion.
  • Writing piecewise linear functions in terms of Heaviside-type functions ($u_c(t)$).
  • Solving IVPs involving various forcing functions (exp, trig, polynomial, piecewise) using the Laplace transform approach.
  • Delta function properties.

Post-midterm 2

Laplace transforms for solving second order equations

  • Modelling with the delta function.
  • Solving IVPs with delta function RHS.
  • Transfer functions, impulse response and convolution.

Fourier series

  • Calculating FS.
  • Using FS to solve second order ODEs with periodic forcing (Method of Undetermined Coefficients)
  • FS for even and odd functions.
  • FS convergence (for what values of x does the FS $\rightarrow f(x)$)

Heat / Diffusion equation

  • Flux $J_a$, conservation of mass.
  • Steady state solutions.
  • Using Fourier series to solve the Heat/Diffusion equation.
    • Homogeneous Dirichlet BCs (zero concentration).
    • Homogeneous Neumann (no flux).
    • Non-homogeneous Dirichlet BCs (fixed concentration).
    • Non-homogeneous Neumann (fixed flux).