In many real life modelling situations, a differential equation for a variable of interest won't just depend on the first derivative, but on higher ones as well. Naturally then, higher order differential equations arise in STEP and other advanced mathematics examinations. For anything more than a second derivative, the question will almost certainly be guiding you through some particular
trick very specific to the problem at hand. For second order differential equations though, you need to know how to tackle them in general. Fortunately, the technique involved is straightforward, and this article guides you through all you need to know, with a helpful example as well!
Homogeneous Second Order Differential Equations
The first major type of second order differential equations you'll have to learn to solve are ones that can be written for our dependent variable \(y\) and independent variable \(t\) as:
\( \hspace{3 in} a \frac{d^2y}{dt^2} + b \frac{dy}{dt}+cy=0.\)
Here \(a\), \(b\) and \(c\) are just constants. In general the coefficients next to our derivatives may not be constant, but fortunately you don't need to worry about how to approach such problems like that in general for STEP.
Now our approach to solving an equation of the above type is a simple one: we guess a solution. Of course, its an educated guess, there's a lot of maths behind why we make the guess we do, but essentially it boils down to attempting a solution of the form \(y=e^{\lambda t}\). Here, \(\lambda\) is simply an unknown constant, and our aim becomes to find \(\lambda\) for which a solution of this type
satisfies the differential equation. Now, our guess implies that:
Now because \(e^{\lambda t}\) is never zero, its safe to divide through to acquire a quadratic in \(\lambda\):
\( \hspace{3.2 in} a \lambda^2+b \lambda +c=0.\)
This equation, which in future you can jump to straight away, is usually called the Auxiliary Equation.
But we know how to solve quadratics! This means we can find the \(\lambda\) for our \(a\), \(b\) and \(c\) that allow \(e^{\lambda t}\) to satisfy our differential equation. Now, in general we'll actually have 2 values for \(\lambda\) and our most general solution to the differential equation will be a linear combination of the two solutions they imply. Therefore, if we call our two solutions
\(\lambda_1\) and \(\lambda_2\) we have:
But what happens if \(\lambda_1 = \lambda_2\)? Well then instead we use:
\(\hspace{3.24 in} y=(A+Bt) e^{\lambda_1 t}.\)
Additionally, it's important to realise that our \(\lambda\) may not necessarily be real numbers. If they happen to be complex, we could call our two solutions \(\lambda_1 =r+is\) and \(\lambda_2 =r-is\), since they'll always be complex conjugate pairs. Then our solution for \(y\), using the relations between \(e^{it}\) and the trigonometric functions, can be written as:
\(\hspace{2.8 in} y=e^{rt} (A \cos st+B \sin st ).\)
So these three formula we've ended up with are all we actually need to remember! For any homogeneous second order differential equation with constant coefficients, we simply jump to the auxiliary equation, find our (\lambda\), write down the implied solution for \(y\) and then use initial conditions to help us find the constants if required.
Inhomogeneous Second Order Differential Equations
One extension to the above that we must tackle is the case when the RHS in our DE is non-zero, i.e. when we have:
\( \hspace{2.85 in} a \frac{d^2y}{dt^2} + b \frac{dy}{dt}+cy=f(t).\)
Fortunately, the approach is again a simple one. Now, it is common to write our general solution for \(y\) in the form \(y=y_c+y_p\), where \(y_c\) is known as the complementary function, and \(y_p\) the particular integral. Specifically, \(y_c\) is the solution to the problem:
\( \hspace{2.84 in} a \frac{d^2y_c}{dt^2} + b \frac{dy_c}{dt}+cy_c=0,\)
and \(y_p\) to:
\( \hspace{2.71 in} a \frac{d^2y_p}{dt^2} + b \frac{dy_p}{dt}+cy_p=f(t).\)
This may look like we've made things infinitely more complicated, but we actually haven't. Now it should be clear that \(y_c\) is found from the homogeneous case that we tackled above; so all we need to find it is our auxiliary equation. For \(y_p\) we again make use of guessing a solution, but our exact guess depends on f. Fortunately there is only a short list of standard guesses you need to
remember:
\(f(t)\)
\(y_p\)
\(e^{\alpha t}\)
\(Pe^{\alpha t}\)
\(\alpha x^n +\) lower order powers
\(Px^n+Qx^{n-1}+...+Z\)
\(\cos \alpha t\) or \(\sin \alpha t\)
\(P\cos \alpha t + Q\sin \alpha t\)
In order to find the constants present in \(y_p\) above, we simpy need to differentiate twice and substitute into its differential equation. Finally, then armed with \(y_c\) and \(y_p\) we have our general solution for \(y\) and can use initial conditions to find the constants in \(y_c\) if we require.
Example
To put this all in to context, let's work through a particularly complex case ourselves. We wish to solve:
\( \hspace{2.85in} y_c=e^{-t} (A \cos 2t + B \sin 2t ). \)
Now, since the right hand side is a polynomial we must try:
\(\hspace{3.15 in} y_p=Pt^2+Qt+R. \)
Notice that even though there is no $t$ term in our RHS we must still include it in our guess for $y_p$; this is true in general for polynomial $f$. So this implies that:
Putting all this together, we have our general solution for \(y\)! We have:
\( \hspace{1.6 in} y=y_c+y_p=e^{-t} (A \cos 2t+B \sin2t )+t^2-\frac{4}{5}t+\frac{58}{25}. \)
Summary
Now you've seen almost everything you possibly could need to to prep yourself for starting to attempt a few STEP and other advanced mathematics examinations differential equation questions yourself.