1.07s - Implicit and parametric differentiation
Can you find a tangent without first writing the curve as ? Use 1.07s to differentiate relations between coordinates and equations in a shared parameter. Find first derivatives, tangents, normals and special tangent points while keeping the correct branch and point.
Differentiating a relation with a changing y
What is the tangent to at ? Rearranging as a quadratic in would introduce a square root and a branch choice. Differentiating the relation directly is much cleaner.
You already know
The chain rule differentiates a changing input: , when depends on . The product rule gives . A tangent uses a numerical gradient at a point on the curve.
A letter is not constant just because it differs from . Along a differentiable branch, changes as changes.
Implicit differentiation
Implicit differentiation finds a derivative from a relation involving and , treating as a function of locally, without first isolating . For example, differentiating gives .
The chain and product rules used here are not in the formula sheet: learn them. Collect every term containing before dividing.
Worked example 1: a mixed quadratic relation
Question. Differentiate implicitly.
Plan. Differentiate every term with respect to , then solve the resulting equation for .
Why this step? Bracketing the two product terms prevents the contribution from disappearing.
Answer. , on branches where .
Check. At , the relation gives and the derivative gives .
Change only the coefficient of , from one to two.
Worked example 2: changing one quadratic coefficient
Question. Differentiate implicitly.
Plan. Keep the product calculation and update the chain-rule term.
Why this step? Doubling doubles its derivative contribution but does not alter the terms.
Answer. , where .
Check. gives and slope .
The method also gives and , with radian input. For , , it gives , hence ; the point has slope one. In , collecting the terms gives .
Watch out
Wrong: differentiate as or as . Right: and . Both use the actual changing input.
Change just the coefficient of again.
Using implicit gradients and checking special tangents
A derivative expression can contain both coordinates. A line's gradient must be evaluated at the specified point, rather than left as a changing expression.
Worked example 3: tangent and normal at the opening point
Question. Find the tangent and normal to at .
Plan. Check the point, evaluate the derivative, then use the point–gradient form.
Why this step? Both lines pass through the same point; only their gradients differ.
Answer. Tangent ; normal .
Check. Both contain , and their gradient product is minus one.
Change only the chosen point on the same curve, interchanging its coordinates.
Worked example 4: a second point on the same curve
Question. Find the tangent and normal at .
Plan. Evaluate the same derivative at the new coordinate pair.
Why this step? The curve is unchanged, but its local gradient depends on both coordinates.
Answer. Tangent ; normal .
Check. Interchanging coordinates reflects the curve in , so the tangent gradients become reciprocals.
Special directions need no infinite “gradient”. On , : at , the tangent is and normal . At , instead use : the tangent is , normal .
For horizontal tangents, solve the zero-numerator condition together with the curve equation and retain a nonzero denominator. The hyperbola has , but contradicts its equation, so it has no horizontal tangent.
Watch out
A zero denominator alone does not establish a vertical tangent. If numerator and denominator both vanish, inspect the curve: has two crossing lines at the origin, not one unique tangent.
Now use the same curve at the reflected point.
Finding a gradient from two parameter rates
If and depend on a parameter , neither coordinate needs to be eliminated first. Their two rates determine the direction of the curve.
Parametric first derivative
Where the coordinate functions are differentiable and ,
This follows from .
Not in the formula sheet: learn it.
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