🌍 Differential Equations · subject
Differential Equations Partial Differential Equations and Boundary-Value Problems Syllabus
Every chapter and topic of Partial Differential Equations and Boundary-Value Problems examined in Differential Equations — 6 chapters, 20 topics, plus 50 flashcards written against it.
Partial Differential Equations and Boundary-Value Problems syllabus — full chapter and topic list
Expand any chapter to see its topics and sub-topics. This is the whole examinable outline for Partial Differential Equations and Boundary-Value Problems in Differential Equations, not a summary of it.
-
Fourier Series
4 topics- Orthogonal Functions and Series
- Fourier Series Expansion
- Fourier Cosine and Sine Series
- Convergence of Fourier Series
-
Sturm-Liouville Theory
3 topics- Sturm-Liouville Boundary-Value Problems
- Eigenvalues and Eigenfunctions
- Eigenfunction Expansions
-
Classification and Separation of Variables
3 topics- Classification of Second-Order PDEs
- Method of Separation of Variables
- Superposition and Boundary Conditions
-
The Heat Equation
3 topics- Heat Equation Derivation
- Heat Equation with Homogeneous Boundary Conditions
- Nonhomogeneous Boundary Conditions
-
The Wave Equation
3 topics- Vibrating String Problem
- d'Alembert's Solution
- Normal Modes and Standing Waves
-
Laplace's Equation and Other Methods
4 topics- Laplace's Equation and Steady-State Problems
- Boundary-Value Problems in Polar and Cylindrical Coordinates
- Fourier Transform Method
- Method of Characteristics for First-Order PDEs
Partial Differential Equations and Boundary-Value Problems flashcards for Differential Equations
24 of 50 cards from the Partial Differential Equations and Boundary-Value Problems deck — real questions with worked answers.
What does it mean for a set of functions $\{\phi_{n}(x)\}$ to be orthogonal on an interval $[a,b]$?
They are orthogonal if the inner product of any two distinct members vanishes: $$\int_{a}^{b}\phi_{m}(x)\phi_{n}(x)\,dx = 0 \quad \text{for } m \neq n.$$
How is the square norm $\lVert \phi_{n}\rVert^{2}$ of a function defined on $[a,b]$, and what makes a set orthonormal?
The square norm is $\lVert \phi_{n}\rVert^{2} = \int_{a}^{b}\phi_{n}^{2}(x)\,dx$. A set is orthonormal if it is orthogonal and each function has unit norm, i.e. $\lVert \phi_{n}\rVert = 1$.
For an orthogonal set $\{\phi_{n}\}$ on $[a,b]$, what is the coefficient $c_{n}$ in the generalized Fourier series $f(x)=\sum_{n} c_{n}\phi_{n}(x)$?
$$c_{n} = \frac{\int_{a}^{b} f(x)\phi_{n}(x)\,dx}{\int_{a}^{b}\phi_{n}^{2}(x)\,dx} = \frac{(f,\phi_{n})}{\lVert\phi_{n}\rVert^{2}}.$$
What is meant by orthogonality with respect to a weight function $w(x)$ on $[a,b]$?
The set is orthogonal with respect to weight $w(x) > 0$ if $$\int_{a}^{b} w(x)\phi_{m}(x)\phi_{n}(x)\,dx = 0 \quad \text{for } m \neq n.$$
Write the Fourier series of a function $f(x)$ defined on the interval $(-p,p)$.
$$f(x)=\frac{a_{0}}{2}+\sum_{n=1}^{\infty}\left(a_{n}\cos\frac{n\pi x}{p}+b_{n}\sin\frac{n\pi x}{p}\right).$$
Give the Euler formulas for the Fourier coefficients $a_{0}$, $a_{n}$, $b_{n}$ of $f(x)$ on $(-p,p)$.
$$a_{0}=\frac{1}{p}\int_{-p}^{p}f(x)\,dx,\quad a_{n}=\frac{1}{p}\int_{-p}^{p}f(x)\cos\frac{n\pi x}{p}\,dx,$$ $$b_{n}=\frac{1}{p}\int_{-p}^{p}f(x)\sin\frac{n\pi x}{p}\,dx.$$
State the Fourier convergence theorem: to what value does a Fourier series converge at a point of the interval?
If $f$ and $f'$ are piecewise continuous on $(-p,p)$, the series converges to $f(x)$ at points of continuity, and to the average $\dfrac{f(x^{+})+f(x^{-})}{2}$ at a jump discontinuity.
What is a cosine (even) Fourier series, and when is it used?
Used when $f$ is even on $(-p,p)$: all $b_{n}=0$ and $$f(x)=\frac{a_{0}}{2}+\sum_{n=1}^{\infty}a_{n}\cos\frac{n\pi x}{p},\quad a_{n}=\frac{2}{p}\int_{0}^{p}f(x)\cos\frac{n\pi x}{p}\,dx.$$
What is a sine (odd) Fourier series, and when is it used?
Used when $f$ is odd on $(-p,p)$: $a_{0}=a_{n}=0$ and $$f(x)=\sum_{n=1}^{\infty}b_{n}\sin\frac{n\pi x}{p},\quad b_{n}=\frac{2}{p}\int_{0}^{p}f(x)\sin\frac{n\pi x}{p}\,dx.$$
On $(0,L)$, what is a half-range expansion, and what three choices are available?
A half-range expansion represents $f$ given only on $(0,L)$ by extending it. The three choices are: even reflection (cosine series), odd reflection (sine series), or a period-$L$ extension (full Fourier series).
Are $\cos\frac{n\pi x}{p}$ and $\sin\frac{n\pi x}{p}$ orthogonal on $(-p,p)$? State the key integral results.
Yes. For $m\neq n$, $\int_{-p}^{p}\cos\frac{m\pi x}{p}\cos\frac{n\pi x}{p}\,dx=0$ and similarly for sines; also $\int_{-p}^{p}\cos\frac{m\pi x}{p}\sin\frac{n\pi x}{p}\,dx=0$ for all $m,n$. For $m=n\neq0$ each cosine/sine integral equals $p$.
Distinguish pointwise, uniform, and mean-square (L2) convergence of a Fourier series.
Pointwise: converges at each individual $x$. Uniform: converges at the same rate for all $x$ (requires $f$ continuous and periodic with piecewise-continuous $f'$). Mean-square: $\int_{-p}^{p}\lvert f - S_{N}\rvert^{2}dx \to 0$; guaranteed whenever $f$ is square-integrable.
State Parseval's (completeness) relation for a Fourier series on $(-p,p)$.
$$\frac{1}{p}\int_{-p}^{p}[f(x)]^{2}\,dx=\frac{a_{0}^{2}}{2}+\sum_{n=1}^{\infty}\left(a_{n}^{2}+b_{n}^{2}\right).$$
What is the Gibbs phenomenon?
Near a jump discontinuity, the partial sums of a Fourier series overshoot the function by a fixed amount (about $9\%$ of the jump). The overshoot does not diminish as $N\to\infty$; it merely narrows toward the discontinuity.
Write the standard (regular) Sturm-Liouville problem in self-adjoint form.
$$\frac{d}{dx}\left[r(x)\frac{dy}{dx}\right]+\left(q(x)+\lambda p(x)\right)y=0,\quad a\le x\le b,$$ with separated boundary conditions at $x=a$ and $x=b$.
What conditions define a regular Sturm-Liouville problem on $[a,b]$?
$r(x), r'(x), q(x), p(x)$ are continuous, with $r(x)>0$ and $p(x)>0$ on $[a,b]$, together with separated (homogeneous) boundary conditions of the form $A_{1}y(a)+B_{1}y'(a)=0$ and $A_{2}y(b)+B_{2}y'(b)=0$.
List the key properties of the eigenvalues and eigenfunctions of a regular Sturm-Liouville problem.
Eigenvalues are real and form an increasing infinite sequence $\lambda_{1}<\lambda_{2}<\cdots\to\infty$; each eigenvalue has a one-dimensional eigenspace; eigenfunctions for distinct eigenvalues are orthogonal with respect to weight $p(x)$; the eigenfunctions form a complete set.
With respect to what weight are Sturm-Liouville eigenfunctions orthogonal, and state the relation.
Orthogonal with respect to the weight $p(x)$: $$\int_{a}^{b} p(x)\,y_{m}(x)\,y_{n}(x)\,dx=0 \quad \text{for } \lambda_{m}\neq\lambda_{n}.$$
For the eigenvalue problem $y''+\lambda y=0$, $y(0)=0$, $y(L)=0$, give the eigenvalues and eigenfunctions.
$$\lambda_{n}=\left(\frac{n\pi}{L}\right)^{2},\quad y_{n}(x)=\sin\frac{n\pi x}{L},\quad n=1,2,3,\dots$$
For $y''+\lambda y=0$ with Neumann conditions $y'(0)=0$, $y'(L)=0$, give the eigenvalues and eigenfunctions.
$$\lambda_{n}=\left(\frac{n\pi}{L}\right)^{2},\; n=0,1,2,\dots,\quad y_{n}(x)=\cos\frac{n\pi x}{L}.$$ Note $\lambda_{0}=0$ with $y_{0}=1$ is included.
What is a singular Sturm-Liouville problem?
One where the regularity conditions fail: e.g. $r(x)=0$ at an endpoint, or the interval is infinite, or $p$ or $r$ is unbounded. Boundedness of $y$ at the singular endpoint typically replaces a separated boundary condition.
What is an eigenfunction expansion of a function $f$ relative to a Sturm-Liouville system?
$$f(x)=\sum_{n=1}^{\infty}c_{n}y_{n}(x),\quad c_{n}=\frac{\int_{a}^{b}p(x)f(x)y_{n}(x)\,dx}{\int_{a}^{b}p(x)y_{n}^{2}(x)\,dx}.$$ Fourier sine/cosine series are special cases.
Give the general linear second-order PDE in two variables and the discriminant used to classify it.
For $A u_{xx}+B u_{xy}+C u_{yy}+D u_{x}+E u_{y}+F u=G$, the discriminant is $B^{2}-4AC$.
State the classification of second-order linear PDEs by the discriminant $B^{2}-4AC$.
$B^{2}-4AC<0$: elliptic (e.g. Laplace's equation); $B^{2}-4AC=0$: parabolic (e.g. heat equation); $B^{2}-4AC>0$: hyperbolic (e.g. wave equation).
See more Partial Differential Equations and Boundary-Value Problems flashcards →
Planning Partial Differential Equations and Boundary-Value Problems for Differential Equations
Partial Differential Equations and Boundary-Value Problems is about 20% of the Differential Equations syllabus by topic count — 20 of 100 topics, spread over 6 chapters. At roughly 45 minutes per topic plus 12 minutes per sub-topic, a first pass runs to about 15 hours.
The heaviest chapters are Fourier Series (4 topics), Laplace's Equation and Other Methods (4 topics), Sturm-Liouville Theory (3 topics) . Front-load those while your energy is high; the short chapters are better revision filler later.
Work top-down: read the chapter, then tick topics off individually rather than marking the whole chapter done. Sub-topics are where silent gaps hide.
Partial Differential Equations and Boundary-Value Problems (Differential Equations) FAQ
What is in the Differential Equations Partial Differential Equations and Boundary-Value Problems syllabus?
Partial Differential Equations and Boundary-Value Problems is split into 6 chapters — Fourier Series, Sturm-Liouville Theory, Classification and Separation of Variables, The Heat Equation, The Wave Equation and Laplace's Equation and Other Methods, containing 20 topics and 0 sub-topics in total.
How many chapters are there in Partial Differential Equations and Boundary-Value Problems for Differential Equations?
6 chapters. Partial Differential Equations and Boundary-Value Problems accounts for about 20% of the topics in the whole Differential Equations syllabus (20 of 100).
How long should I spend on Partial Differential Equations and Boundary-Value Problems for Differential Equations?
Budget around 15 hours for a first pass through Partial Differential Equations and Boundary-Value Problems — about 45 minutes per topic plus 12 minutes per sub-topic across its 20 topics. Add revision cycles on top.
Are there flashcards for Differential Equations Partial Differential Equations and Boundary-Value Problems?
Yes — a 50-card Partial Differential Equations and Boundary-Value Problems deck. Sample cards are printed on this page, and the full deck is free in the Examius app with spaced repetition scheduling.