P.H. Trinh

Lecture 25: Wave equation I

This lecture will do apply separation of variables and Fourier series in order to solve for the wave equation on a finite interval.

Definition 16.1 (1D wave equation with homogeneous Dirichlet BCs

We look to solve $$ \begin{gathered} u_{tt} = c^2 u_{xx} \\ u(0, t) = 0 = u(L, t) \\ u(x, 0) = u_0(x), \\ u_t(x, 0) = v_0(x), \end{gathered} $$

which models the deflection of a string of length $L$ given initial displacement and velocities.

Sec. 16.2: Separation of variables procedure

In the video, we'll cover the separation of variables procedure, which follows Sec. 16.2 of the notes. The procedure is virtually identical to the case of the heat equation, with the exception that the equation for two components,

$$ u(x, t) = X(t) T(t), $$

yields a second-order ODE for $T(t)$ instead of a first-order ODE. Consequently, the relevant solutions are sinusoidals for both $X$ and $T$. We will show that the separable solutions are given by

$$ u_n(x, t) = \sin\left(\frac{n\pi x}{L}\right) \left[ A_n \cos\left(\frac{n\pi ct}{L}\right) + B_n \sin\left(\frac{n\pi ct}{L}\right)\right] $$

Once you sum this over all the positive integers, then you will obtain the general solution in terms of the Fourier series. To this solution, we must satisfy the initial displacement and velocities.

Example 16.2 (Imagining the modes)

I want to help you imagine what the modes, $u_n$, look like. For simplicity, take the length $L = \pi$. Also, we may take $c = 1$. The individual modes we want to examine are: $$ u_n(x, t) = \sin\left(nx\right) \left[ A_n \cos(nct) + B_n \sin(nct)\right] $$

Demonstration of the modes

% Code for MA20223 30 Mar 2020
clear
close all

% Length and time
L = pi; T = 2*pi/(c*n);

% Function
n = 2; c = 1;
un = @(x,t) sin(n*x/L).*cos(n*c*t/L);

% Make vectors for space and time
x = linspace(0, pi, 50); t = linspace(0, 2*T, 50);

% Create a mesh of x vs. t
[X,T] = meshgrid(x,t);

% Matrix of U values to imagine the surface
U = sin(n*X).*cos(n*T);

figure(1); subplot(1,2,1); xlabel('x'); ylabel('u');

subplot(1,2,2);
% Plot the surface and make it pretty
s = surf(X,T,U); set(s, 'EdgeColor', 'none', 'FaceColor', 'interp');
view([-48, 17]); xlabel('x'); ylabel('t'); zlabel('u');
hold on

% Plot an animation in time
for j = 1:length(t)    
    tt = t(j); uu = un(x,tt);
    
    subplot(1,2,1);
    plot(x, uu);   title(['t = ', num2str(tt)]);
    ylim([-1,1]); xlim([0, pi]);
    
    subplot(1,2,2);
    if j == 1
        p = plot3(x, tt*ones(size(x)), un(x, t(j)), 'LineWidth', 3);
        pause;
    else
        set(p, 'XData', x, 'YData', tt*ones(size(x)), 'ZData', un(x,t(j)));
    end
    
    drawnow
    shg
end

Implementation of the Fourier series

Now we need to look to solve for the coefficients of our series by applying the boundary conditions. We have that $$ u(x, t) = \sum_{n=0}^\infty \sin\left(\frac{n\pi x}{L}\right) \left[ A_n \cos\left(\frac{n\pi ct}{L}\right) + B_n \sin\left(\frac{n\pi ct}{L}\right)\right] $$

Imposing the initial displacement, we have $$ u_0(x) = \sum_{n=0}^\infty A_n \sin\left(\frac{n\pi x}{L}\right), $$

which we recognise as the sine series for the odd $2L$-periodic extension of the function $u_0(x)$ originally defined on $[0, L]$. So the coefficients are (see theorem 12.7) $$ A_n = \frac{2}{L} \int_0^L u_0(x) \sin\left(\frac{n\pi x}{L}\right). $$

Imposing the initial velocity, we have $$ v_0(x) = \sum_{n=1}^\infty \left(\frac{n\pi c}{L}\right)B_n \sin\left(\frac{n\pi x}{L}\right) $$

Again we recognise this as the sine series, so we now need to equate $$ \left(\frac{n\pi c}{L}\right)B_n = \frac{2}{L} \int_0^L v_0(x) \sin\left(\frac{n\pi x}{L}\right). $$

(The video gets very close to the end of this; we managed to get the $A_n$ coefficients and need to address the $B_n$ coefficients in lecture 26)