Parametric differentiation
A parametric curve defines both coordinates using a third variable, usually :
As changes, the point moves along the curve. Parametric differentiation finds how changes with without first eliminating .
If you need to review how parameters describe curves, begin with parametric equations.
The parametric derivative
Section titled “The parametric derivative”Suppose and are differentiable functions of . By the chain rule,
Therefore, provided ,
This is a quotient of two derivatives. It is not , and it is not found by differentiating with respect to directly.
Example 1: find the gradient
Section titled “Example 1: find the gradient”The curve is defined by
Find and the gradient when .
Differentiate both coordinates with respect to :
Divide in the correct order:
At ,
The parameter value identifies the point as well as its gradient:
So the curve has gradient at .
Tangents and normals
Section titled “Tangents and normals”At , first calculate the point
and the tangent gradient
The tangent through is
If , the normal gradient is , since perpendicular gradients multiply to .
Example 2: equations of a tangent and normal
Section titled “Example 2: equations of a tangent and normal”For
find the tangent and normal when .
The point is
and
Hence
so the tangent gradient at is . Its equation is
The normal gradient is , giving
Keep the answer in point-gradient form unless the question asks for another form. It displays both the point and gradient clearly.
Stationary points
Section titled “Stationary points”A stationary point has a horizontal tangent, so
For a regular parametric curve, this occurs when
Solving only is not enough. You must check at every candidate parameter value.
Example 3: locate stationary points
Section titled “Example 3: locate stationary points”Consider
Differentiate:
Candidates occur at and .
At , , and the point is
At , , and the point is
Therefore the stationary points are
Both checks matter because the same coordinate can sometimes be reached using different parameter values, and a zero denominator changes the geometry.
What if a derivative is zero?
Section titled “What if a derivative is zero?”The formula must be interpreted carefully.
| Condition at | Likely geometric meaning |
|---|---|
| and | Horizontal tangent and a stationary point |
| and | Vertical tangent, so is undefined |
| and | Indeterminate form requiring further analysis |
A vertical tangent is not a stationary point of as a function of . Its gradient is not zero; it is undefined.
Example 4: distinguish horizontal and vertical tangents
Section titled “Example 4: distinguish horizontal and vertical tangents”Let
Then
At ,
The point is and the tangent is vertical. Its equation is
Horizontal tangents occur when , so . Since at both values, both give genuine stationary points.
When both derivatives are zero
Section titled “When both derivatives are zero”If and are both zero, writing does not determine the gradient. Simplify the expression for , if possible, and examine its limit as approaches the parameter value.
For example, if
then for ,
Although the original quotient is at , the limiting gradient is
In fact, eliminating gives for , confirming a horizontal tangent at the origin.
Do not automatically cancel factors and substitute without considering the curve. In harder cases, can indicate a cusp, a self-intersection or a parameterisation that momentarily stops. A limit, an alternative parameterisation or the Cartesian equation may be needed.
Second derivatives
Section titled “Second derivatives”The second derivative measures how the gradient changes with . First find as a function of , differentiate that expression with respect to , then divide by again:
Do not simply differentiate with respect to and stop. That gives the rate of change of the gradient with , not with .
Example 5: classify stationary points
Section titled “Example 5: classify stationary points”For
we have
so
The stationary values are . Now
and therefore
At , , so the point is a local maximum. At , , so the point is a local minimum.
Their coordinates are
A trigonometric example
Section titled “A trigonometric example”The ellipse
has
Therefore
At , the point is
and the gradient is
The tangent is consequently
Notice that is an angle here, but parametric differentiation works in exactly the same way as for polynomial functions.
A reliable exam method
Section titled “A reliable exam method”- Differentiate and separately with respect to .
- Form and simplify.
- Use the given parameter value or solve the required gradient condition.
- Check whether is zero.
- Substitute into the original equations to find the point.
- Write the tangent or normal using point-gradient form.
- For classification, calculate and evaluate its sign.
Common mistakes
Section titled “Common mistakes”- Reversing the quotient and calculating .
- Substituting a value of before differentiating, which turns the coordinates into constants.
- Using the derivative expressions to calculate the point instead of the original equations.
- Declaring sufficient for a stationary point without checking .
- Calling a vertical tangent stationary because .
- Taking the negative reciprocal before evaluating the tangent gradient.
- Writing and forgetting to divide by .
Check your understanding
Section titled “Check your understanding”For
answer the following.
- Find in terms of .
- Find the equation of the tangent at .
- Find all stationary points and verify that each is genuine.
- Find in terms of .
Answers
First,
so
At , the point is and the gradient is , so the tangent is
The numerator of the unsimplified derivative is zero at and . At , , so is stationary. At , both derivatives are zero, so it cannot be accepted using the regular stationary-point test. The simplified gradient tends to as , so the point is not stationary.
Finally,
and
where this expression is defined.
What to learn next
Section titled “What to learn next”Review tangents and normals if forming line equations is not yet automatic. Then study stationary points and curve sketching to connect derivatives with the wider shape of a curve, or parametric modelling to see why parameterised curves are useful in context.