Differentiation - the quotient rule

By Martin McBride, 2023-11-14
Tags: quotient rule product rule chain rule first principles derivative
Categories: differentiation calculus


The quotient rule allows us to find the derivative of the quotient of 2 functions. It has similarities with the product rule, and it may be worth studying the product rule before the tackling quotient rule if you haven't already done so.

Here is an example of the sort of function we can differentiate, the quotient of 2 quadratic functions:

Quotient example 1

Here is another example, the quotient of 2 trig functions. This function is, of course, equal to tan(x):

Quotient example 2

In this article, we will give some worked examples of the rule. In some of the cases, we will also show how the same result can be obtained by differentiation from first principles. We will then look at an informal geometric interpretation of the formula, before showing a proof of the technique.

The rule

The quotient rule applies to functions of this form:

Quotient function

The first derivative can be calculated as:

Quotient function

Example - quotient of two quadratics

We will illustrate the technique using this function from earlier:

Quotient example 1

Here is a graph of the function:

Quotient example 1

This function has the form of a quotient:

Quotient function

Where:

Quotient parts

We will need the first derivatives of u and v. These are both simple polynomial functions, so we can differentiate them in the normal way:

Quotient parts

Now we need to plug these equations into the quotient rule formula:

Quotient function

Substituting u, v and their derivatives gives:

Quotient parts

Multiplying out the top and bottom expressions gives:

Quotient parts

The terms in x-cubed on the top line cancel out, so the derivative simplifies to:

Quotient parts

As a final check, let's look at the graph of this function. This shows f in red and f' in cyan:

Quotient example 1

This looks quite plausible:

  • The slope is 0 when x= = 0.
  • The slope is negative when x < 0 and positive when x > 0.
  • The slope is steepest at around x = 0.6 and x = -0.6.
  • The slope tends to 0 when x gets large in the +ve or -ve directions.

Example - quotient of sine and cosine

As a second illustration, we will use this function from earlier:

Quotient example 2

Here is a graph of the function. As we noted earlier, this is simply the tan function:

Quotient example 2

This function also has the form of a quotient:

Quotient function

This time, u and v are:

Quotient parts

The derivatives of sine and cosine are standard results:

Quotient parts

Plugging these into the quotient rule formula gives:

Quotient parts

This simplifies to:

Quotient parts

We can apply the Pythagorean identity, cos squared plus sin squared equals 1, to get this:

Quotient parts

The derivative of tan is a standard result, so we already know this equation is correct. For completeness, here is a graph of tan (red) and its derivative sec squared (cyan):

Quotient example 2

This again looks plausible. It is always positive (because the tan graph always increases), it has a minimum value of 1 when x is a multiple of π, and it zooms off to positive infinity when x is an odd multiple of π/2.

Verifying the formula

We can verify the formula by applying it to a case where we already know the correct result. We have already done this with the tan function, and we found that applying the quotient rule to sin over cos gave the standard result for differentiating tan directly.

But for good measure let's try again using this function:

Quotient example 3

Of course, the function can be reduced to x cubed, so we know the result we are expecting:

Quotient example 3

Let's apply the quotient rule to the original expression. Here are u and v:

Quotient example 3

And here are their derivatives:

Quotient example 3

This is the resulting quotient rule formula:

Quotient example 3

We can simplify this. And of course, it gives the same result as differentiating x cubed directly:

Quotient example 3

Geometric interpretation of the quotient rule

The geometric interpretation of the quotient rule has a similar form to the geometric interpretation of the product rule, but with a couple of extra steps. It may be worth familiarising yourself with the product rule interpretation if you haven't already seen it.

We know that f(x) is the quotient of 2 functions u(x) and v(x):

Quotient function

This can be rearranged as:

Quotient function

This allows us to represent the value of u(x) as the area of a rectangle with sides f(x) and v(x). This is shown on the left here:

Geometric interpretation of quotient rule

Now let's suppose we increment x by a small amount Δx. This caused f to change by a small amount Δf and v to change by a small amount Δv. That is shown on the right, above.

Incrementing x adds two orange rectangles to the area. The right-hand rectangle has area Δf by v, and the top rectangle has f by Δv.

There is also a tiny yellow rectangle size Δf by Δv. As Δx gets very small, this rectangle gets smaller much more quickly than the two orange rectangles, so we will ignore it in our calculations.

So the approximate change in u as we change x by Δx is given by the orange region:

Geometric interpretation of quotient rule

We will rearrange this to bring the term in Δf to the left, as ultimately we want to solve for f':

Geometric interpretation of quotient rule

Now let's multiply through by v:

Geometric interpretation of quotient rule

Now we can make use of the fact that vf = u, to eliminate f from the RHS:

Geometric interpretation of quotient rule

Dividing through by Δx we find the relationship between the approximate rates of change:

Geometric interpretation of quotient rule

Dividing through by v squared gives and approximate expression for the rate of change of f:

Geometric interpretation of quotient rule

As Δx tends to 0 this resembles the quotient rule formula:

Product rule

Proof of the quotient rule

There are several proofs of the quotient rule, but probably the most straightforward is this proof using the product rule in conjunction with the chain rule. The proof below assumes you already know those two rules.

There are 2 steps to the proof. First, we will convert the quotient function into a product of two functions, where one of those functions is a composed function - that is, one function applied to the result of another, such as r(v(x)). In the second part of the proof we simply apply the product rule and chain rule in the usual way.

We can write the quotient function as a product, like this:

Quotient rule proof

For this to work, the function w must be equivalent to the reciprocal of function v. In other words w is:

Quotient rule proof

Where r is the reciprocal function:

Quotient rule proof

We now have the quotient equation in a form that we can differentiate using the product rule and chain rule. We are going to need the derivative of w later, so let's find it now, using the chain rule applied to r(v(x)):

Quotient rule proof

We can find the derivative of r, since r is 1/x which has a standard derivative:

Quotient rule proof

Applying this to w' gives us an expression that depends only on v and v':

Quotient rule proof

Now we can use the product rule to find f':

Quotient rule proof

Substituting the known values of w and w' gives us:

Quotient rule proof

Finally, we can multiply the first term on the RHS by v(x)/v(x) so that the terms have a common denominator:

Quotient rule proof

This gives us the quotient rule:

Quotient rule proof

See also



Join the GraphicMaths Newletter

Sign up using this form to receive an email when new content is added:

Popular tags

adder adjacency matrix alu and gate angle area argand diagram binary maths cartesian equation chain rule chord circle cofactor combinations complex modulus complex polygon complex power complex root cosh cosine cosine rule cpu cube decagon demorgans law derivative determinant diagonal directrix dodecagon eigenvalue eigenvector ellipse equilateral triangle euler eulers formula exponent exponential exterior angle first principles flip-flop focus gabriels horn gradient graph hendecagon heptagon hexagon horizontal hyperbola hyperbolic function hyperbolic functions infinity integration by parts integration by substitution interior angle inverse hyperbolic function inverse matrix irrational irregular polygon isosceles trapezium isosceles triangle kite koch curve l system line integral locus maclaurin series major axis matrix matrix algebra mean minor axis nand gate newton raphson method nonagon nor gate normal normal distribution not gate octagon or gate parabola parallelogram parametric equation pentagon perimeter permutations polar coordinates polynomial power probability probability distribution product rule proof pythagoras proof quadrilateral radians radius rectangle regular polygon rhombus root sech set set-reset flip-flop sine sine rule sinh sloping lines solving equations solving triangles square standard curves standard deviation star polygon statistics straight line graphs surface of revolution symmetry tangent tanh transformation transformations trapezium triangle turtle graphics variance vertical volume volume of revolution xnor gate xor gate