Numerov's method

Numerov's method

Numerov's method is a numerical method to solve ordinary differential equations of second order in which the first-order term does not appear. It is a fourth-order linear multistep method. The method is implicit, but can be made explicit if the differential equation is linear.

Numerov's method was developed by Boris Vasil'evich Numerov.

Contents

The method

The Numerov method can be used to solve differential equations of the form


\left ( \frac{d^2}{dx^2} + f(x) \right ) y(x) = 0

The function y(x) is sampled in the interval [a..b] at equidistant positions xn. Starting from function values at two consecutive samples xn − 1 and xn the remaining function values can be calculated as


y_{n+1} = \frac {\left( 2-\frac{5 h^2}{6} f_n \right) y_n - \left( 1+\frac{h^2}{12}f_{n-1} \right)y_{n-1}}{1+\frac{h^2}{12}f_{n+1}}

where fn = f(xn) and yn = y(xn) are the function values at the positions xn and h = xnxn − 1 is the distance between two consecutive samples.

Nonlinear equations

For nonlinear equations of the form

 \frac{d^2}{dt^2} y = f(t,y)

the method is given by

 y_{n+1} = 2y_n - y_{n-1} + \tfrac{1}{12} h^2 (f_{n+1} + 10f_n + f_{n-1}).

This is an implicit linear multistep method, which reduces to the explicit method given above if the function f is linear in y. It achieves order 4 (Hairer, Nørsett & Wanner 1993, §III.10).

Application

In numerical physics the method is used to find solutions of the radial Schrödinger Equation for arbitrary potentials.


\left [ -{\hbar^2 \over 2\mu} \left ( \frac{1}{r} {\partial^2  \over \partial r^2} r- {l(l+1) \over r^2} \right ) + V(r) \right ] R(r) = E R(r)

The above equation can be rewritten in the form


\left [ {\partial^2  \over \partial r^2} - {l(l+1) \over r^2} + { 2\mu \over \hbar^2} \left( E - V(r)\right) \right ] u(r) = 0

with u(r) = rR(r). If we compare this equation with the defining equation of the Numerov method we see


f(x) = \frac{2\mu}{\hbar^2} \left(E - V(x) \right) - \frac{l(l+1)}{x^2}

and thus can numerically solve the radial Schrödinger equation.

Derivation

Starting from the Taylor expansion for y(xn) we get for the two sampling points adjacent to xn


y_{n+1} = y(x_n+h) = y(x_n) + hy'(x_n) + \frac{h^2}{2!}y''(x_n) + \frac{h^3}{3!}y'''(x_n) + \frac{h^4}{4!}y''''(x_n) + \frac{h^5}{5!}y'''''(x_n) + \mathcal{O} (h^6)

y_{n-1} = y(x_n-h) = y(x_n) - hy'(x_n) + \frac{h^2}{2!}y''(x_n) - \frac{h^3}{3!}y'''(x_n) + \frac{h^4}{4!}y''''(x_n) - \frac{h^5}{5!}y'''''(x_n) + \mathcal{O} (h^6)

The sum of those two equations gives


y_{n-1} + y_{n+1} = 2y_n + {h^2}y''_n + \frac{h^4}{12}y''''_n + \mathcal{O} (h^6)

We solve this equation for y''n and replace it by the expression y''n = − fnyn which we get from the defining differential equation.


h^2 f_n y_n = 2y_n-y_{n-1} - y_{n+1} + \frac{h^4}{12}y''''_n + \mathcal{O} (h^6)


We take the second derivative of our defining differential equation and get


y''''(x) = - \frac{d^2}{d x^2} \left[ f(x) y(x) \right]

We replace the second derivative \frac{d^2}{d x^2} with the second order difference quotient and insert this into our equation for fnyn


h^2 f_n y_n = 2y_n-y_{n-1} - y_{n+1} - \frac{h^4}{12} \frac{f_{n-1} y_{n-1} -2 f_{n} y_{n} + f_{n+1} y_{n+1}}{h^2} + \mathcal{O} (h^6)

We solve for yn + 1 to get


y_{n+1} = \frac {\left( 2-\frac{5 h^2}{6} f_n \right) y_n - \left( 1+\frac{h^2}{12}f_{n-1} \right)y_{n-1}}{1+\frac{h^2}{12}f_{n+1}} + \mathcal{O} (h^6).

This yields Numerov's method if we ignore the term of order h6. It follows that the order of convergence (assuming stability) is 4.

References

External links


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