Mathematics · Ch 10 — Differential Calculus – Differentiability and Methods of Differentiation
Implicit Differentiation
Implicit Differentiation
A function in which the dependent variable is expressed solely in terms of the independent variable , i.e. , is called an explicit function — for instance . An equivalent equation such as , which is not solved for , is instead said to define implicitly, or to make an implicit function of .
Why implicit functions matter. The equation describes a circle of radius centred at the origin. It is not itself a function, because for any with there are two corresponding -values: (the top half, ) and (the bottom half, ), for . Choosing either half individually does give a genuine function, so the single equation is said to define at least two distinct implicit functions of on ; both and hold as identities on that interval.
In general, if defines a function implicitly on some interval, then is an identity on that interval, and the graph of is a portion (or all) of the graph of . A more complicated equation such as may determine several implicit functions on suitably restricted intervals, and it may not even be possible to solve algebraically for in terms of — yet the derivative can often still be found by a process called implicit differentiation.
The method. Differentiate both sides of the given equation with respect to , treating throughout as a differentiable function of (so every term containing picks up a factor via the chain rule — most simply captured by the power-rule-for-functions form , an integer), then solve the resulting equation algebraically for .
Worked illustration. For : differentiating termwise, gives , so (). Substituting into the original equation gives -style paired values (two points on two different implicit branches), and at each of those two points the same implicit formula correctly reproduces the tangent slope — implicit differentiation handles both branches at once without ever having to solve for explicitly. …