First Order Differential Equations
What is a differential equation?
- A differential equation is simply an equation that contains derivatives
- For example
is a differential equation
- And so is
What is a first order differential equation?
- A first order differential equation is a differential equation that contains first derivatives but no second (or higher) derivatives
- For example
is a first order differential equation
- But
is not a first order differential equation, because it contains the second derivative
Wait – haven’t I seen first order differential equations before?
- Yes you have!
- For example
is also a first order differential equation, because it contains a first derivative and no second (or higher) derivatives
- But for that equation you can just integrate to find the solution y = x3 + c (where c is a constant of integration)
- In this section of the course you learn how to solve differential equations that can’t just be solved right away by integrating
Euler’s Method: First Order
What is Euler’s method?
- Euler’s method is a numerical method for finding approximate solutions to differential equations
- It treats the derivatives in the equation as being constant over short ‘steps’
- The accuracy of the Euler’s Method approximation can be improved by making the step sizes smaller
How do I use Euler’s method with a first order differential equation?
- STEP 1: Make sure your differential equation is in
form
- STEP 2: Write down the recursion equations using the formulae
and
from the exam formula booklet
- h in those equations is the step size
- the exam question will usually tell you the correct value of h to use
- STEP 3: Use the recursion feature on your GDC to calculate the Euler’s method approximation over the correct number of steps
- the values for
and
will come from the boundary conditions given in the question
Worked Example
Consider the differential equation with the boundary condition
.
a)
Apply Euler’s method with a step size of
to approximate the solution to the differential equation at
.
b)
Explain how the accuracy of the approximation in part (a) could be improved.