Implicit Differentiation (AQA A-Level Mathematics): Revision Notes
7.5.1 Implicit Differentiation
Implicit differentiation is a technique used to find the derivative of a function when it is not explicitly solved for one variable in terms of the other. Instead of solving the equation for y in terms of first, you differentiate both sides of the equation with respect to , treating as a function of .
1. When to Use Implicit Differentiation:
- Implicit Equations: Implicit differentiation is used when the equation is given in a form where is not isolated on one side (e.g., ).
- Relations: It's often used in cases where is implicitly defined as a function of through some relation.
- Circular Functions: For curves like circles or ellipses (e.g.
2. Steps for Implicit Differentiation:
- Differentiate both sides of the equation with respect to , treating as a function of . When differentiating a term involving , apply the chain rule (.
- Collect terms involving on one side of the equation.
- Solve for to find the derivative.
3. Example Problems:
Example 1: Differentiate (Equation of a Circle)
- Step 1: Differentiate both sides with respect to :
- Step 2: Solve for
- Conclusion: The derivative of y with respect to x for the circle is
Example 2: Differentiate
- Step 1: Differentiate both sides with respect to :
- Step 2: Distribute and collect terms involving :
- Step 3: Solve for :
- Conclusion: The derivative of y with respect to x for the given equation is
4. Why Implicit Differentiation Works:
Implicit differentiation works because it leverages the chain rule, treating as a function of (i.e., ). When you differentiate a term involving , you apply the chain rule, which introduces into the equation.
5. Applications of Implicit Differentiation:
- Tangent and Normal Lines: Finding the slope of the tangent or normal line to a curve at a given point.
- Related Rates: In related rates problems, implicit differentiation helps to relate the rates of change of multiple variables.
- Finding Derivatives of Inverse Functions: Implicit differentiation can also be used to find derivatives of inverse functions when the function itself is not easily invertible.
6. Higher-Order Derivatives:
Implicit differentiation can also be used to find higher-order derivatives (e.g., After finding , differentiate again with respect to , applying implicit differentiation as needed.
Example:
Given , we found . To find :
- Differentiate implicitly with respect to :
Summary:
- Implicit differentiation allows you to find derivatives when is not explicitly solved for in terms of .
- It is particularly useful for complex relationships between variables and in problems where solving for y explicitly is difficult or impossible.
- This technique has broad applications in calculus, including in geometry, physics, and related rates problems.
Implicit Differentiation
An explicit function is one that can, for example, be written in the form , e.g., .
An implicit function is not written in this way, e.g., . This cannot be rearranged in the form .
Differentiating Implicitly
As long as we do the same thing to both sides of an equation, the fact that they are equal is maintained. This includes differentiating.
However, a problem is encountered when trying to differentiate an expression W.R.T. that involves .
Note:
This says that differentiation with respect to is exactly equivalent to differentiating with respect to , then multiplying by .
e.g.,
Applying this to a function like (an explicit function):
Differentiating both sides, we get:
(The result expected)
Example: Find when Rule: When differentiating , differentiate it then .
Differentiating both sides W.R.T. :
Do not write unless function said .
At this point, take all terms not including to the other side.
Factor out the :
Example: Find when Applying to both sides:
Notice a product rule is necessary. Do this first.
Let and :
Example: Find the gradient of when . Method 1: Write in terms of :
Note that :
Method 2: ln both sides then implicitly differentiate:
Applying to both sides:
Q2**. (Jan 2008, Q4) [OCR 4724]** Find the equation of the normal to the curve
at the point , giving your answer in the form , where , and are integers.
Differentiating implicitly:
At the point :
Gradient of normal:
Point: (1, 1)
(or any integer multiple of this)
Q6**. (Jan 2013, Q3) [OCR 4724]** The equation of a curve is . Find in terms of and , and hence find the coordinates of the stationary points on the curve.
Differentiating both sides W.R.T. :
Setting to find stationary points:
Substituting into the original curve equation:
Substituting into :