Derivatives of implicit functions
Some curves refuse to hand you a tidy formula " something in ." A circle , or the tangled loop , ties and together in a single equation with no clean way to isolate . Yet you can still find the slope of the tangent at any point on such a curve — you simply differentiate the whole equation, term by term, treating as an unnamed function of throughout. Every time a -term is differentiated, the chain rule quietly attaches a factor of . Collect those terms, solve algebraically, and you have the slope — without ever solving for explicitly. This article builds that machinery from the chain rule you already know, checks it against a circle's known geometry, and extends it to a genuine two-variable curve.
Differentiating both sides of an implicit equation term by term, and attaching a factor of to every -term via the chain rule, lets you solve algebraically for the slope of a curve you never had to rewrite as .
The core idea
Why -terms pick up an extra factor. On a small enough piece of a curve like (away from where it doubles back), behaves like some differentiable function of , even though we have no formula for it. Any term containing is therefore a composite expression — "an operation applied to the function of " — and differentiating a composite always calls the chain rule. That is the entire trick behind implicit differentiation: nothing new is invented, the ordinary chain rule is just applied to an unnamed function.
The two patterns you will use constantly. A pure power of differentiates like any power rule, but with the extra factor attached:
where: is a fixed real exponent and is exactly the unknown you are trying to find — it appears on the right because is being treated as a function of , not a constant. A mixed term like or needs the product rule combined with this chain-rule adjustment, since it is a product of an -part and a -part:
where: the first piece comes from differentiating while is held as a factor (chain rule), and the second comes from differentiating while is held as a factor — the usual product-rule split.
The four-step procedure. (1) Differentiate both sides of the equation with respect to , term by term. (2) Apply the chain rule to every -term, and the product rule wherever and multiply. (3) Move every term containing to one side of the equation and everything else to the other side. (4) Factor out and divide to isolate it. The result will generally involve both and — that is normal, not a sign of an error, because a single implicit relation can pass through many points with many different slopes. The figure below shows why the circle example is such a good sanity check: the tangent line implicit differentiation produces at a point is always perpendicular to the radius drawn to that point, exactly as circle geometry from earlier classes predicts.
The goal is to derive the slope of the tangent line to the circle at an arbitrary point on the circle using implicit differentiation, and then to show algebraically that this tangent slope, multiplied by the slope of the radius drawn to that same point, always equals — confirming with pure algebra a geometric fact about circles you already accept on sight.
Step 1. Differentiate implicitly with respect to , remembering is a fixed constant and is a function of : .
Step 2. Solve for : . This holds at every point on the circle where . Evaluated at the specific point , the tangent slope is .
Step 3. Compute the slope of the radius joining the origin to using the ordinary two-point slope formula: .
Step 4. Multiply the two slopes: . Two lines whose slopes multiply to are perpendicular, so the tangent to a circle at any point is perpendicular to the radius at that point — a result implicit differentiation reproduces purely algebraically, without ever drawing a picture. Bonus: the tangent line itself is , which simplifies to , the standard tangent-to-circle formula.
Worked example
Find the equation of the tangent line to the folium at the point .
Step 1. Confirm actually lies on the curve: and . Both sides match, so the point is valid.
Step 2. Differentiate the whole equation implicitly, exactly as in the core idea: gives .
Step 3. Collect the terms on one side: , so , giving .
Step 4. Evaluate the slope at : numerator ; denominator . So .
Step 5. Write the tangent line through with slope : , which simplifies to .
Competitive stretch
Notice the denominator vanishes when ; substituting into the original curve equation shows this happens at and at one other point on the loop — exactly where the tangent line to the folium becomes vertical, since is undefined there. Spotting where an implicit slope formula's denominator vanishes is a quick way to locate vertical tangents without extra work.
Common traps
- Forgetting the on a -term. Writing instead of treats as a constant — the single most common slip.
- Splitting a mixed term wrong. For or , both the product rule and the chain rule are needed; dropping either gives a wrong derivative.
- Isolating too early. Try to solve before every term containing it has been moved to one side, and the algebra falls apart.
- Rejecting an answer because it has both and in it. That is expected — an implicit derivative is generally a function of both variables, not a flaw to fix.
Ask the tutor: if collecting the terms and solving the algebra feels shaky, ask the AI tutor to walk through another implicit differentiation example with you line by line.
Why does every y-term get an extra dy by dx but every x-term does not?
Because is the variable we are differentiating with respect to, so needs nothing extra — you are differentiating with respect to itself. But is being treated as an unnamed function of , so any term in is really a composite expression, and the chain rule always contributes a derivative of the "inner function," which here is . The rule is not arbitrary; it is the same chain rule you already use for something like , just with standing in for the inner function instead of .
Can I just solve for y first and use the ordinary derivative instead of doing this implicitly?
Sometimes, but it is often harder or impossible. For you could solve and differentiate that, but you would need two cases for the two branches, and the algebra is messier than implicit differentiation. For there is no elementary way to isolate at all. Implicit differentiation sidesteps both problems by working directly with the equation as given, which is exactly why it is the standard tool for such curves.
My final slope has both x and y in it — is that wrong?
No, that is the normal and expected outcome. A single implicit equation like passes through many points, and each point generally has a different tangent slope, so the slope formula must depend on both coordinates. To get an actual number, always substitute the specific point you care about, as in the worked example above — never leave the answer as an unevaluated expression when a specific point was given.