Differential Equations > Separation of Variables

**Separation of Variables** is a standard method of solving differential equations. The goal is to rewrite the differential equation so that all terms containing one variable (e.g. “x”) appear on one side of the equation, while all terms containing the other variable (e.g. “y”) appear on the opposite side.

## Ordinary Differential Equations

Let’s take a look at an ordinary differential equation:

In this unique example, the functions *f *and *g* each depend on just one variable. With this condition satisfied, we can now “separate” the expressions related to *x *from the expressions containing *y*. To accomplish this, we can rewrite the equation so that the functions *f *and *g *are on opposite sides. First, divide by g(y):

Next, multiply both sides of the equation by *dx*.

Now, the equation is structured such that all terms related to *y* are on the left-hand side, while all *x *related terms are on the right-hand side. So, we can now integrate both sides of the equation.

The differential equation can now be either analytically or numerically solved, depending on what functions are actually in the equation.

## Practical Example

For practice with the separation of variables technique, let’s consider the differential equation below:

Looking at this ordinary differential equation, we can see that it fits the form for separation of variables because the terms with *y *and the terms with *x *can be “separated” on opposite sides of the equation. Like we did in the example, let’s rewrite the equation to isolate all *y *terms on the left-hand side of the equation, leaving *x *terms on the right-hand side.

We can now integrate both sides. For the left-hand side of the equation, we’ll use the power rule for integration since we have a polynomial function. The right-hand side becomes negative cosine, the anti-derivative of sine, plus an unknown constant, *C*.

The result is an equation that represents **all solutions** to our original differential equation example, where *C* represents an arbitrary constant. Sometimes, we want to write an equation that isolates *y* on one side. We can do this with our example function:

## Separation of Variables: Partial Differential Equations

Beyond ordinary differential equations, the separation of variables technique can solve **partial differential equations**, too. To see this in action, let’s consider one of the best known partial differential equations: the heat equation.

The **heat equation** was first formulated by Joseph Fourier, a mathematician who worked at the turn of the 19th century. At that time, the very concept of differential equations was only in its infancy. Accordingly, Fourier’s hypothesis was slow to catch on.

Fourier postulated that the rate at which temperature changes in a solid is proportional to the diffusion of heat across that solid.

For example, if the heat were spread evenly across the solid, then temperature change over time would be zero. In contrast, if a massive influx of heat were to come from a region in the solid, the temperature of nearby areas would quickly increase.

Let’s use the separation of variables technique to break down the heat equation into ordinary differential equations, which are easier to manage. To do this, we’ll have to use a particular method called “ansatz.” An ansatz, a Greek word meaning “guess,” can help us arrive at a solution. It just so happens that with the heat equation, the correct ansatz is a separable function (Hancock).

Substituting this ansatz into the partial differential equation, we have

At this point, we can again separate the expressions that contain only *x* from those that contain only *t*.

Next, I will claim that either side of this equation must be constant. While this may seem surprising at first, think about the fact that the two sides do not share any variables. In other words, changing the value of *t* only affects the left-hand side of the equation. Similarly, maintaining the value of *x*will only affect the right-hand side of the equation.

So, we can write that both equations are equal to some constant, *k*.

This step is critical because now the original partial differential equation can be broken down into two ordinary differential equations, each equal to a constant,*k*.

The advantage of separating our equation in this way is that now we can take full advantage of the various methods for solving ordinary differential equations. After all, there are many more of these than ways to solve a partial differential equation.

Ultimately, the separation of variables technique is a relatively simple analytical method, but it can be powerfully applied to both ordinary and partial differential equations.

## Separation of Variables: References

Hancock, Matthew. *The 1-D Heat Equation*. 2006, https://ocw.mit.edu/courses/mathematics/18-303-linear-partial-differential-equations-fall-2006/lecture-notes/heateqni.pdf.

Narasimhan, T. N. “Fourier’s Heat Conduction Equation: History, Influence, and Connections.” *Reviews of Geophysics*, vol. 37, no. 1, Feb. 1999, pp. 151–72. *DOI.org (Crossref)*, doi:10.1029/1998RG900006.

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