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Mathematics · Ch 9 — Applications of Derivatives

Maxima and Minima

9.4.2

Maxima and Minima

Maxima of a function. A function f(x)f(x) is said to have a (local) maxima at x=cx=c if the value of the function at x=cx=c is greater than every other value of f(x)f(x) in a small neighbourhood of cc — that is, for a small δ>0\delta>0 and for every x∈(c−δ,c+δ)x\in(c-\delta,c+\delta), f(c)>f(x)f(c)>f(x). The value f(c)f(c) is then called a maxima of f(x)f(x). This happens exactly when f(x)f(x) is increasing just to the left of cc (on c−δ<x<cc-\delta<x<c) and decreasing just to the right of cc (on c<x<c+δc<x<c+\delta).

Minima of a function. Similarly, f(x)f(x) has a (local) minima at x=cx=c if f(c)<f(x)f(c)<f(x) for every xx in a small neighbourhood of cc. This happens when f(x)f(x) is decreasing just to the left of cc and increasing just to the right of cc.

Stationary (turning) points. If f′(c)=0f'(c)=0, then at x=cx=c the function is neither increasing nor decreasing at that instant — such a point is called a stationary point or turning point of the function. Geometrically, any point where the tangent to the graph is horizontal is a turning point, so turning points are located by solving dydx=0\dfrac{dy}{dx}=0. Among the turning points, the ones where ff genuinely attains a local maximum or minimum are called the extreme values of the function. …