introduction to partial di erential...
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Introduction
Introduction to Partial Differential Equationspart of EM, Scalar and Vector Fields module (PHY2064)
Richard Sear
November 11, 2019
Richard Sear Introduction to Partial Differential Equations
Introduction
Recommended textbooks
Advanced Engineering Mathematics, Erwin Kreyszig
Advanced Engineering Mathematics, Kenneth Stroud andDexter Booth
Mathematical methods in the physical sciences, Mary Boas
Essential mathematical methods for the physical sciences,Riley and Hobson (bit more advanced that other three)
These books have extra problems for you to do.
Richard Sear Introduction to Partial Differential Equations
Introduction
Course summary:
Week 1 Introduction to PDEs: differential equations withmore than one variable. Common PDEs, linear homogeneousPDES, BCs.
Week 2 The wave equation (in one dimension).
Week 3 The diffusion equation (in one dimension).
Week 4 Laplace’s equation (in two dimensions).
Week 5 PDEs in spherical and circular polar coordinates,e.g., Schrodinger equation for the hydrogen atom.
Week 6 θ and φ-dependent solutions of the Schrodingerequation for the hydrogen atom
Richard Sear Introduction to Partial Differential Equations
Introduction
Course structure: Each week has one lecture to introduce material,plus two class tutorials where you learn the material by doingproblems.
One lecture plus three (one on Tues + two on Thurs) hoursof tutorials in Engineering for Health buildingTwo hours on Thurs are joint with Solid State course
Tutorials:
There are two question sheets a week, on the topic covered inthat week.
Class tutorials are where you receive feedback & help.
Tables along edges to work as a group, and to discuss physics(only).
You are welcome to step out of the session, to take a break.
Richard Sear Introduction to Partial Differential Equations
Introduction
Context: Maxwell’s equations & Schrodinger’s equation
Much of physics involves PDEs and vector calculus:
∇.E =ρ
ε0∇.B = 0
∇× E = −∂B
∂t∇× B = µ0
(J + ε0
∂E
∂t
)
−1
2
h2ε0
πme2∇2ψ − 1
rψ = E
(4πε0/e
2)ψ
Why and how does H absorb light at a wavelength of 122 nm?Need to solve both Schrodinger’s and Maxwell’s equations toanswer this and many many more questions in physics.
Richard Sear Introduction to Partial Differential Equations
Introduction
This week
What are PDEs?
Intro to the (simplest & commonest) PDEs in physics
Superposition (for linear PDEs)
What solutions often look like
BCs for time-independent PDE (Laplace’s)
BCs for time-dependent PDE (wave and diffusion)
Richard Sear Introduction to Partial Differential Equations
Introduction
What are PDEs?
Partial differential equations (PDEs) differ from ordinarydifferential equations (ODEs) in that there is more than onevariable. Thus the derivatives are partial derivatives, hence thename partial differential equations.
In physics when we have more than one variable this is almostalways either because the functions depend on more than onespatial dimension, e.g., on say both x and y , or because theydepend on space and time, e.g., x and t.
Here we will only consider linear PDEs. Nonlinear PDEs aretypically solved using a computer.
Richard Sear Introduction to Partial Differential Equations
Introduction
What are PDEs?
In this part of the course, we will introduce the most commonsimple PDEs in physics, and show how to solve them.
Note that for both ODEs and PDEs, solving means finding afunction.
As it happens these are all second-order, i.e., contain secondderivatives, and so we will only study second-order PDEs.
Richard Sear Introduction to Partial Differential Equations
Introduction
Different types of solutions & BCs
Three types of solutions for PDEs
General solution: general enough to include any particularsolution, i.e., any BCs
A solution: something that when you substitute in the PDEgives you LHS = RHS.
A particular solution: A solution of the PDE that satisfies allthe BCs.
For PDEs, a general solution often requires Fourier series or similar.
Richard Sear Introduction to Partial Differential Equations
Introduction
The Laplacian ∇2
Most PDEs in physics involve the Laplacian, ∇2, which is
∇2 =d2
dx2in 1D
∇2 =∂2
∂x2+
∂2
∂y2in 2D
∇2 =∂2
∂x2+
∂2
∂y2+
∂2
∂z2in 3D
This is Cartesian coordinates, will do spherical polars later.
Richard Sear Introduction to Partial Differential Equations
Introduction
Time-independent PDEs
We will study the very common time-independent PDE, namedafter Laplace. For a scalar function u(x , y , z), Laplace’s equationis:
Laplace’s equation ∇2u = 0
For example, both Maxwell’s equations and the diffusion equationcan simplify to Laplace’s equation. If the right hand side is notzero, but is a function, then that PDE is known as Poisson’sequation.Thus in three dimensions Laplace’s equation is
∇2u =∂2u
∂x2+∂2u
∂y2+∂2u
∂z2= 0
Richard Sear Introduction to Partial Differential Equations
Introduction
Schrodinger’s time-independent PDE
Another important time-independent PDE that you have alreadycome across is Schrodinger’s time-independent equation for thequantum mechanical wavefunction ψ, of a particle in a potentialV (x , y , z),
− ~2
2m∇2ψ(x , y , z) + V (x , y , z)ψ(x , y , z) = Eψ(x , y , z)
Richard Sear Introduction to Partial Differential Equations
Introduction
Time-dependent PDEs
Time dependent PDEs need to be solved for the function ofposition and time v(x , y , z , t).
The diffusion equation is
diffusion equation D∇2v =∂v
∂t
where D is a constant, the diffusion constant. D has dimensions ofa length squared over time. The wave equation is
wave equation ∇2v =1
c2
∂2v
∂t2
c is the speed of the wave and has dimensions of length over time.
Difference between the two PDEs is that the diffusion equation hasthe first derivative with respect to time, while the wave equationhas the second derivative with respect to time.
Richard Sear Introduction to Partial Differential Equations
Introduction
Linear homogeneous PDEs
All PDEs in the course (except Poisson’s) are linear andhomogeneous.
Linear homogeneous PDEs are analogous to linear homogeneousODEs, which you have already studied.
Linear PDEs are PDEs in which every term is linear in F or∂F/∂x , ∂2F/∂x2, etc, and so there are no F 2, F 3, exp(F ),F (∂F/∂x), etc terms.
Linear homogeneous PDEs are PDEs in which every single termis either linear in F or its derivatives (or is zero). There are noterms that are just functions of x , y , z or t, and there are no F 2,etc, non-linear terms.
Richard Sear Introduction to Partial Differential Equations
Introduction
Poll feedback test on linear homogeneous PDEs
Richard Sear Introduction to Partial Differential Equations
Introduction
Linear homogeneous PDEs
Linear homogeneous PDEs have the same useful property as linearhomogeneous ODEs. The sum of any two solutions of a linearhomogeneous PDE is also a solution to the same PDE, i.e., ifF1(x , y , z , t) and F2(x , y , z , t) are both solutions to a PDE, then
F (x , y , z , t) = a1F1(x , y , z , t) + a2F2(x , y , z , t)
is also a solution to the same PDE. This is true for any values ofthe constants a1 and a2.
This also means that if you multiply a solution F (x , y , z , t) by aconstant, call it a, then aF (x , y , z , t) is also a solution.
Richard Sear Introduction to Partial Differential Equations
Introduction
Linear homogeneous PDEs
This property of being able to add solutions to make anothersolution is extremely useful.
For example, it allows solutions to be constructed from Fourierseries, where each term in the series is a solution to the PDE.
In physics this piece of maths corresponds to what is often calledthe principle of superposition.
Richard Sear Introduction to Partial Differential Equations
Introduction
Characteristic solutions of a particular PDE
A particular PDE, eg, wave PDE, has solutions that arecharacteristic of that PDE, eg, sine and cosine waves for the wavePDE:
W (x , t) = sin (kx − ωt)
and for Laplace’s PDE in two dimensions, an example solution is
F (x , y) = sin (kx) exp (−ky)
The question sheets have further examples of solutions to the PDEsin the course, that will help you get used to what they look like.
Richard Sear Introduction to Partial Differential Equations
Introduction
Boundary conditions & Particular solutions
Just as with ODEs, to find a particular solution for a physicalsystem, we need both the PDE and the BCs.
Usually for linear homogeneous PDEs we determine functions thatsatisfy the PDE (e.g., often sines and cosines for the wave PDE)and then construct a particular solution by summing (which can dofor linear homogeneous PDEs) many of these functions, eg as aFourier series.
Richard Sear Introduction to Partial Differential Equations
Introduction
Boundary conditions for time-independent PDEs
In two dimensions the region we want to solve the PDE in, is anarea and so the boundaries of this area are the curves that form itsedge.
y
x
area A
BC is value off(x,y) alongperimeter
In two dimensions BC is the value of f (x , y) around the perimeterof the area.
Richard Sear Introduction to Partial Differential Equations
Introduction
Boundary conditions for time-dependent PDEs: Diffusionequation in one dimension
A possible solution of the diffusion equation, in one dimension,consists of a cosine standing wave, with an amplitude that decayswith time:
W (x , t) = A exp(−0.5k2t
)cos(kx)
for a diffusion constant D = 0.5 m2/s. Because the wave equationis first order with respect to the time derivative, BCs that areinitial BCs need to specify only the function at t = 0 s.
Note that as the wave PDE is second-order with respect to time,there the initial BCS are the function at t = 0 s, and the timederivative of this function.
Richard Sear Introduction to Partial Differential Equations
Introduction
Boundary conditions for time-dependent PDEs: Diffusionequation in one dimension
As an example, let us impose the BC
W (x , t = 0 s) = 10 cos(2πx)
What is then the particular solution?[Poll everywhere]
Richard Sear Introduction to Partial Differential Equations
Introduction
This week
What are PDEs?
Intro to the (simplest & commonest) PDEs in physics
Superposition (for linear PDEs)
What solutions often look like
BCs for time-independent PDE (Laplace’s)
BCs for time-dependent PDE (wave and diffusion)
Richard Sear Introduction to Partial Differential Equations