Tangents and normals to curves
A tangent is a straight line with the same instantaneous gradient as a curve at a chosen point. A normal is the straight line perpendicular to that tangent at the same point.
These lines turn a derivative into geometric information. They are used to approximate functions, describe motion and solve problems involving directions perpendicular to a curve.
Before you begin
Section titled “Before you begin”You should be able to:
- find a derivative using standard differentiation rules
- calculate the gradient and equation of a straight line
- substitute a coordinate into the original curve
From derivative to tangent
Section titled “From derivative to tangent”For a curve , the tangent gradient at is
The point on the curve is . A line of gradient through has equation
This point-gradient form is usually the safest form to use. It makes the point and gradient visible, and avoids unnecessary algebra.
Example 1: tangent to a polynomial
Section titled “Example 1: tangent to a polynomial”Find the tangent to
at .
Differentiate:
At , the tangent gradient is
Find the point from the original curve:
The tangent passes through , so
Equivalently, .
Do not substitute before differentiating. Doing so would replace the whole function by the constant , losing all gradient information.
The normal gradient
Section titled “The normal gradient”Two non-vertical perpendicular lines with gradients and satisfy
Therefore, if the tangent gradient is a finite non-zero value ,
The negative reciprocal changes both the sign and the reciprocal. For example, the perpendicular gradient to is , not and not .
Example 2: tangent and normal to a rational function
Section titled “Example 2: tangent and normal to a rational function”For
find the tangent and normal at .
Write and differentiate:
At ,
The point is
Hence the tangent is
The normal gradient is
so the normal is
A dependable method
Section titled “A dependable method”For a tangent or normal at :
- Differentiate the curve.
- Evaluate to find the tangent gradient.
- Evaluate using the original curve to find the point.
- For a normal, take the negative reciprocal of the tangent gradient.
- Substitute the point and gradient into .
- Check that the final line passes through the stated point.
If a coordinate rather than an value is given, first confirm that the coordinate lies on the curve.
Finding an unknown point from a gradient
Section titled “Finding an unknown point from a gradient”Sometimes the gradient is given and the point of contact must be found. Set the derivative equal to the required gradient, solve for , then calculate every corresponding value.
Example 3: parallel tangents
Section titled “Example 3: parallel tangents”Find the points on
where the tangent is parallel to .
Parallel lines have equal gradients, so the required gradient is . Differentiate:
Set this equal to :
Thus
There are two answers because a curve can have the same gradient at several points. Substitute both values into the original function. Using from the quadratic equation,
so
The points are therefore
and
Horizontal and vertical special cases
Section titled “Horizontal and vertical special cases”The negative reciprocal rule needs care when a line is horizontal or vertical.
| Tangent | Normal |
|---|---|
| Horizontal, gradient | Vertical, equation |
| Vertical, gradient undefined | Horizontal, equation |
There is no finite negative reciprocal of zero. A horizontal tangent and vertical normal must be written using their geometric equations.
Example 4: horizontal tangent and vertical normal
Section titled “Example 4: horizontal tangent and vertical normal”For
find the tangent and normal at .
Since
the tangent gradient at is . The point is .
The horizontal tangent is
and the vertical normal is
This point is stationary because its tangent is horizontal. Whether it is a maximum, minimum or stationary point of inflection requires further analysis, covered in stationary points and curve sketching.
For an explicit differentiable function , a vertical tangent usually arises where the displayed derivative is undefined or becomes unbounded. Parametric and implicit descriptions often represent such points more naturally.
Tangents to implicit curves
Section titled “Tangents to implicit curves”For a relation involving both and , obtain by implicit differentiation, then evaluate it at the stated point. The line method is unchanged.
Example 5: tangent and normal to a circle
Section titled “Example 5: tangent and normal to a circle”Find the tangent and normal to
at .
Differentiate both sides with respect to :
Hence
At , the tangent gradient is . Therefore the tangent is
The normal gradient is , giving
The normal passes through the centre , as the geometry of a circle predicts. Indeed, rearranging its equation gives .
For a complete treatment of differentiating relations such as this, see implicit differentiation.
Tangents to parametric curves
Section titled “Tangents to parametric curves”If and are both functions of a parameter , first find
Then use the given parameter value to calculate both the gradient and the point. The detailed method, including vertical tangents and second derivatives, is covered in parametric differentiation.
Applications
Section titled “Applications”Instantaneous direction of motion
Section titled “Instantaneous direction of motion”If a particle follows the graph , its tangent gives its instantaneous direction of travel. A direction perpendicular to the path lies along the normal.
For example, a track has equation
At ,
The track makes an angle with the positive axis satisfying
Thus
An angle obtained from a gradient may need interpretation. Calculator values from give a principal angle, while the context determines the actual direction.
Tangent line approximation
Section titled “Tangent line approximation”Near , a smooth function is approximately equal to its tangent line:
Use this to estimate . Let and choose the nearby convenient value .
Therefore
The true value is approximately , so the tangent gives an accurate local estimate. It is accurate nearby because the curve and tangent share both a point and a gradient.
Common mistakes
Section titled “Common mistakes”- Finding the point from instead of from the original curve.
- Using as the gradient and as the coordinate.
- Taking a reciprocal but forgetting the negative sign for a normal.
- Treating gradient as if it had a finite negative reciprocal.
- Assuming a line is tangent merely because it meets a curve at one point.
- Solving and keeping only one solution when several points have gradient .
- Expanding point-gradient form incorrectly. Leaving a correct equation unexpanded is acceptable unless another form is requested.
- Using degrees or radians inconsistently when converting a gradient to an angle.
Check your understanding
Section titled “Check your understanding”- Find the tangent and normal to at .
- Find every point on where the tangent is horizontal, and write the corresponding normal equations.
- The curve passes through . Find the tangent there.
- Use a tangent to estimate .
Answers
At , the gradient is and the point is . Thus
and
gives . The points are and . Both tangents are horizontal. The normal equations are
Implicit differentiation gives
Therefore
At , the gradient is , so the tangent is
Let and use . Then
Hence
What to learn next
Section titled “What to learn next”Study stationary points and curve sketching to classify points with horizontal tangents. Then extend the same line methods to implicit differentiation and parametric differentiation.