Search⌘ K
AI Features

Ordinary Differential Equations

Explore how to define and solve ordinary differential equations (ODEs) using SymPy in Python. Understand setting up ODEs with symbolic functions and equations, apply dsolve to find solutions for first and higher-order differentials like damped harmonic oscillation, and learn to substitute values for computational analysis.

One of the most useful functions in modern problem-solving is that the solutions to ordinary differential equations (ODE) have so many varied applications in everything from pure sciences to all sorts of engineering.

dydx+5yx2=0\frac{dy}{dx}+5yx^2=0

Tools

To set up the ODE, we need to refer to the function we are solving and its derivatives. The Function and Eq classes in SymPy help us do this. Let’s discuss these before we move on to solving some equations ourselves.

Function

Function is similar to Symbol but is used to define a function.

f = Function('f')

To define a function of symbol x, we use the following syntax:

x = Symbol('x')
f = Function('f')(x)

To compute the derivate of the Function, we use the diff() method:

f.diff(x) # first order derivative
f.diff(x, x) # second order derivative 

Equality

Eq is used to define equations in SymPy.

Eq(rhs, lhs)

The comma separates the right-hand side from the left-hand side.

Now let’s use these tools to solve ODEs.

Steps

SymPy ...