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4.2: Example - the exponential growth ODE and error scaling

  • Page ID
    219159
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    As usual, we examine the result of using Heun’s method on the exponential growth ODE, (eq:2.5). Simulation results are shown in fig. 4.2. The computed solution clearly gives a better match to the analytic results – Heun’s method is a better method than forward Euler!

    Graph showing computed solutions (y) over time (t) for various alpha values, with distinct colored lines representing each alpha.
    Figure 4.2: The exponential growth ODE (eq:2.5) solved using Heun’s method. The fit between the computed solution and the analytic solution is clearly better than that for forward Euler.

    We can quantify the accuracy of Heun’s method by computing the RMS error between the computed and the analytic solutions for different stepsizes \(h\). This is shown in 4.3. On a log-log plot the slope of the error line is two – the order of Heun’s method is accordingly \(O(h^2)\). That is, if we halve the stepsize then we get a factor of four improvement in method accuracy. This is much better than the \(O(h)\) accuracy offered by forward Euler.

    Graph showing RMS error plotted against step size, with data points in various colors representing different step sizes.
    Figure 4.3: Scaling of the RMS error of (eq:2.5) for Heun’s method. Examining the slope of the curve shows that the error incurred by Heun’s method scales as \(e \sim O(h^2)\).

    4.2: Example - the exponential growth ODE and error scaling is shared under a not declared license and was authored, remixed, and/or curated by LibreTexts.

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