Implicit Differentiation
Till now, we have been differentiating functions given in explicit form as \( y = f(x) \). We understand how to differentiate such functions directly. However, what should we do when the function is not explicitly given but instead is defined implicitly?
In an implicit equation, both \( x \) and \( y \) appear together, and they are intertwined in such a way that solving explicitly for \( y \) in terms of \( x \) is either difficult or impossible. Sometimes, we may be able to isolate \( y \) and then differentiate, but in many cases, this is not feasible.
For example, consider the equation
Here, \( y \) is still a function of \( x \), meaning it depends on \( x \), but we cannot explicitly solve for \( y \) in terms of \( x \) easily. Nevertheless, we should still be able to differentiate the equation because \( y \) behaves as a function of \( x \).
The Idea Behind Implicit Differentiation
The key principle is simple: if two expressions are always equal, then their derivatives must also be equal.
Applying this idea to our example equation,
Taking the derivative on both sides,
Since \( y \) is a function of \( x \), we recognize that differentiating \( y^5 \) requires the chain rule, treating \( y \) as an unknown function of \( x \):
Differentiating each term,
Applying the product rule on \( xy \),
Rearranging to isolate \( \frac{dy}{dx} \),
Factoring out \( \frac{dy}{dx} \),
Thus, we have successfully differentiated implicitly, without needing to explicitly solve for \( y \).
General Approach to Implicit Differentiation
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Differentiate both sides with respect to \( x \), applying the derivative operator \( \frac{d}{dx} \) to the entire equation. Since \( y \) is implicitly dependent on \( x \), every occurrence of \( y \) must be treated as a function of \( x \), even though its explicit form is unknown.
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Apply the chain rule correctly when differentiating terms involving \( y \). Specifically, if \( y \) appears as an exponentiated term, trigonometric function, exponential function, or within any composition, the differentiation must account for the inner dependence on \( x \). That is, when differentiating any function of \( y \), say \( g(y) \), we must apply
\[ \frac{d}{dx} g(y) = g'(y) \frac{dy}{dx}. \]For example, if differentiating \( y^n \), we obtain
\[ \frac{d}{dx} y^n = n y^{n-1} \frac{dy}{dx}. \] -
Use the product or quotient rule wherever necessary. If the equation contains products or quotients of expressions of \( x \) and \( y \), differentiation must respect the product or quotient rule.
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Isolate \( \frac{dy}{dx} \) algebraically. Once differentiation is complete, all terms involving \( \frac{dy}{dx} \) should be collected on one side of the equation, and any terms independent of \( \frac{dy}{dx} \) should be moved to the other side. The equation is then solved explicitly for \( \frac{dy}{dx} \), ensuring a well-defined derivative expression in terms of \( x \) and \( y \).
Example
Differentiate the equation \( xy^2 + xy = x^5 \) implicitly and find \( \frac{dy}{dx} \).
Solution:
Applying the product rule to each term,
Using the chain rule where necessary,
Rearranging,
Factoring \( \frac{dy}{dx} \),
Example
Differentiate the equation \( \sin(xy) = x + y \) implicitly and find \( \frac{dy}{dx} \).
Solution:
Applying the chain rule to \( \sin(xy) \),
Using the product rule on \( xy \),
Rearranging,
Factoring \( \frac{dy}{dx} \),
\(\blacksquare\)
We can also differentiate the given function in a different way. Starting with the equation:
Taking the inverse sine on both sides,
Now differentiating both sides,
Applying the product rule on the left,
Rearranging,
Solving for \( \frac{dy}{dx} \),
Factoring \( \frac{dy}{dx} \),
This expression is completely different from the one obtained earlier using implicit differentiation directly. However, both are mathematically equivalent, meaning they yield the same numerical values for any valid \( x \) and \( y \).
This highlights an important point: the method of differentiation can significantly affect the form of the derivative expression, even though all correct approaches yield equivalent numerical results.