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====== Differences ====== This shows you the differences between two versions of the page.

--- gibson:teaching:spring-2016:math445:lecture:timestepping [2016/04/14 09:37]
gibson
+++ gibson:teaching:spring-2016:math445:lecture:timestepping [2016/04/14 18:23] (current)
gibson [Problem 4]
@@ Line 11: / Line 11: @@
 The above equation is an [[https://en.wikipedia.org/wiki/Ordinary_differential_equation| ordinary differential equation]]. MATH 527 //Differential Equations// is all about finding solutions to such equations in closed form. Here we will use **numerical solution methods** to find approximate numerical solutions.
-To make things concrete, let's solve the following problem. Given the 2D inviscid flow around a cylinder from the [[gibson:teaching:spring-2016:math445:lecture:cylinderflow|last lecture]], what would be the path of a small particle starting at position $(x,y) = (-3.8, 0.6)$, shown below as a red circle?
+To make things concrete, let's solve the following problem. Given the 2D inviscid flow around a cylinder from the [[gibson:teaching:spring-2016:math445:lecture:cylinderflow|last lecture]], what would be the path of a small particle starting at position $(x,y) = (-2.8, 0.6)$, shown below as a red circle?
- {{ :gibson:teaching:spring-2016:math445:lecture:cylinderpath1.png?direct&400 }}
+ {{ :gibson:teaching:spring-2016:math445:lecture:cylinderpath0.png?direct&400 }}
 [[gibson:teaching:spring-2016:math445:lecture:cylinderflow_code|Here's the code for plotting the 2D inviscid cylinder flow]]. The line ''x = [-3.8, 0.6]; plot(x(1), x(2), 'ro');'' plots the dot. The problem now is to compute and plot the particle as it's advected along by the fluid velocity field $v(x)$, where
@@ Line 23: / Line 23: @@
 and where $r,\theta$ are the polar coordinates of the vector position $\vec{x} = (x,y)$.
 ----
-**Problem 1:** Write Matlab code that plots the motion of the particle, in discrete steps, using the //forward-Euler timestepping// formula
+==== Problem 1====
+Write Matlab code that plots the motion of the particle, in discrete steps, using the //forward-Euler timestepping// formula
 \begin{eqnarray*}
@@ Line 47: / Line 50: @@
 T = 9;
 dt = 0.4;
-Nsteps = floor(T/dt);
+Nsteps = round(T/dt);
-x = [-3.8; 0.6];           % initial position of particle
+x = [-2.8; 0.6];           % initial position of particle
 hold on;
@@ Line 76: / Line 79: @@
 </file>
- {{ :gibson:teaching:spring-2016:math445:lecture:cylinderpath2.png?direct&400 }}
+ {{ :gibson:teaching:spring-2016:math445:lecture:cylinderpath1.png?direct&400 }}
+Note that the trajectory computed here is not very accurate. The particle shouldexit the box at the same $y$ value it had when it entered. The problem is we chose quite a large time step $\Delta t = 0.4$, and forward-Euler is only 1st-order accurate (error scales as $\Delta t$). In the next problem, we'll reduce the time step to $\Delta t = 0.01$ and get a more accurate solution --though still not as good as the 4th-order accurate ''ode45'' function.
+----
+====Problem 2====
+Write Matlab code that plots the //path// of the particle as a red curved line. To do this we need to save the sequence of $\vec{x}$ values in a matrix, and then plot the rows of that matrix as a line.
+<code matlab>
+T = 10;      % integrate from t=0 to T=10, i.e 0 <= t <= 10
+dt = 0.01;   %
+Nsteps = round(T/dt);
+X = zeros(2,Nsteps);  % stores sequences of x(t) values as cols in a matrix
+X(:,1) = [-2.8; 0.1]; % initial position of particle
+for n=1:Nsteps
+  X(:,n+1) = X(:,n) + dt*v(X(:,n));  % forward euler time stepping
+end
+plot(X(1,:), X(2,:), 'r-');
+axis equal
+axis tight
+xlim([-3,3])
+ylim([-2,2])
+</code>
+ {{ :gibson:teaching:spring-2016:math445:lecture:cylinderpath3.png?400 |}}
+----
+====Problem 3====
+Write Matlab code that plots the path of the particle as a red curved line, using Matlab's ''ode45'' function to do the time-integration.
+<code matlab>
+% use Matlab's ode45 function to do the time integration of
+% dx/dt = v(t, x)
+T = 10;           % integrate from t=0 to T=10
+x0 = [-2.8; 0.6]; % initial position of particle
+[t, x] = ode45(@v, [0 T], x0);  % computes x(t) at given values of t
+plot(x(:,1), x(:,2), 'r-');
+axis equal
+axis tight
+xlim([-3,3])
+ylim([-2,2])
+</code>
+Matlab's ''ode45'' function requires an ODE of the form $dx/dt = v(t,x)$, so we have to add a ''t'' argument to our ''v'' function
+<file matlab v.m>
+function dxdt = v(t, x);
+  % compute 2D inviscid cylinder velocity as function of x
+  % input: vector x has x(1) = x coord, x(2) = y coord
+  V0 = 1;  % scale of velocity
+  a  = 1;  % radius of circle
+  % compute polar coordinates
+  r = sqrt(x(1)^2 + x(2)^2);
+  theta = atan2(x(2), x(1));
+  dxdt = [V0*(1 - (a/r)^2 * cos(2*theta)) ;
+         -V0*(a/r)^2 * sin(2*theta)];
+end
+</file>
+This produces a plot very like the one for Problem 3.
+----
+==== Problem 4 ====
+Draw a number of particle paths starting with a number of $y$ values and $x=-2.8$.
+<code matlab>
+% use Matlab's ode45 function to do the time integration of
+% dx/dt = v(t, x)
+T = 10;                           % integrate from t=0 to T=10
+for y = -2:0.4:2                  % loop over different y values
+  x0 = [-2.8; y];                 % set initial position of particle
+  [t, x] = ode45(@v, [0 T], x0);  % compute x(t) over range 0 <= t <= T
+  plot(x(:,1), x(:,2), 'r-');     % plot the path
+end
+</code>
+{{ :gibson:teaching:spring-2016:math445:lecture:cylinderpath2.png?direct&400 |}}

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