Most functions you've seen are written explicitly: \(y = x^2 + 3\). You can directly differentiate the right side. But some relationships between \(x\) and \(y\) can't be written that way — they're implicit: \(x^2 + y^2 = 25\) (a circle). There's no clean way to solve for \(y\) alone without square roots and sign choices.
Implicit differentiation solves this. Instead of isolating \(y\) first, you differentiate both sides of the equation with respect to \(x\) — treating \(y\) as an unknown function of \(x\). Every time you differentiate a \(y\) term, you multiply by \(\frac{dy}{dx}\) (chain rule!). Then you solve algebraically for \(\frac{dy}{dx}\).
The result: you can find the slope of the tangent to any curve — circles, ellipses, Folium of Descartes — not just explicit functions.
The circle \(x^2 + y^2 = 25\) fails the vertical line test — it's not a function. But locally, near any point (except the very top and bottom), it behaves like a function. Implicit differentiation captures that local behaviour — it gives you the slope \(\frac{dy}{dx}\) at any specific point on the circle, without forcing you to separate the circle into two halves.
When we write \(x^2 + y^2 = 25\) and differentiate, we're assuming that locally, \(y\) is some differentiable function of \(x\) — even if we can't write it down explicitly. This assumption (the Implicit Function Theorem) is what makes the whole technique valid. We treat \(y = y(x)\) and apply the chain rule.
This is the heart of implicit differentiation. Every time you differentiate any expression involving \(y\), the chain rule forces you to multiply by \(\frac{dy}{dx}\). Terms involving only \(x\) differentiate normally.
Find \(\frac{dy}{dx}\) for the circle \(x^2 + y^2 = 25\):
\(\dfrac{dy}{dx} = -\dfrac{4x}{9y}\)
\(y + x\dfrac{dy}{dx} + 2y\dfrac{dy}{dx} = 0\)
\(\dfrac{dy}{dx} = \dfrac{-y}{x+2y}\)
\(\cos(xy)\left(y + x\dfrac{dy}{dx}\right) = 1\)
Solve for \(\dfrac{dy}{dx}\)
Horizontal tangent at the top of the circle ✓
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