Derive local truncation error for the Improved Euler Method

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SUMMARY

The local truncation error for the Improved Euler Method applied to the autonomous ODE \( \frac{dx}{dt} = f(x) \) is determined to be \( O(h^3) \). The method involves expanding the right-hand side of the Improved Euler formula using Taylor series and comparing it with the Taylor series of the exact solution. The key equations used in the derivation include the Improved Euler updates \( \bar x_{i+1} = x_i + hf(x_i) \) and \( x_{i+1} = x_i + \frac{1}{2} h(f(x_i) + f(\bar x_i)) \). This analysis confirms that the local truncation error is indeed \( |x(t_1) - x_1| \).

PREREQUISITES
  • Understanding of Taylor series expansion
  • Familiarity with the Improved Euler Method
  • Knowledge of ordinary differential equations (ODEs)
  • Basic calculus, particularly derivatives and error analysis
NEXT STEPS
  • Study the derivation of local truncation error for various numerical methods
  • Learn about the Runge-Kutta methods and their error characteristics
  • Explore numerical stability in ODE solvers
  • Investigate the application of Taylor series in numerical analysis
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Mathematicians, numerical analysts, and students studying numerical methods for solving ordinary differential equations will benefit from this discussion.

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TL;DR
Can't figure out how to find the local truncation error for the Improved Euler method
I'm trying to find the local truncation error of the autonomous ODE: fx/ft = f(x).

I know that the error is |x(t1) − x1|, but I can't successfully figure out the Taylor expansion to get to the answer, which I believe is O(h^3).

Any help would be greatly appreciated!
 
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Did you try googling " local truncation error for the Improved Euler " ? I got lots of good hits.
 
Is that <br /> \begin{align*}<br /> \bar x_{i+1} &amp;= x_i + hf(x_i) \\<br /> x_{i+1} &amp;= x_i + \tfrac12 h(f(x_i) + f(\bar x_i))\mbox{?}\end{align*} The method is to expand the right-hand side of the second equation in a Taylor series about x_i,
<br /> \begin{align*}<br /> x_{i+1} &amp;= x_i + \tfrac12 h \left(f(x_i) + f(x_i + hf(x_i))\right) \\<br /> &amp;= x_i + \tfrac12 h \left(2f(x_i) + hf(x_i)f&#039;(x_i) + \tfrac12h^2f(x_i)^2f&#039;&#039;(x_i) + O(h^3) \right)<br /> \end{align*}<br />
and compare it to the Taylor series of the correct value, <br /> \begin{align*}<br /> x(t_i + h) &amp;= x(t_i) + h\dot x(t_i) + \tfrac12 h^2 \ddot x(t_i) + \tfrac16 h^3 x^{(3)}(t_i) + O(h^4) \\<br /> &amp;= x_i + hf(x_i) + \tfrac12h^2 f&#039;(x_i)f(x_i) + \tfrac16 h^3 f(x_i)(f(x_i)f&#039;&#039;(x_i) + f&#039;(x_i)^2) + O(h^4).<br /> \end{align*}
 

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