Applications of the derivative

mean value theorem

Suppose you drive 120 miles in 2 hours. Your average speed was 60 mph, even if you sped up and slowed down along the way. The mean value theorem says something stronger and almost obvious: at some instant during the trip, your speedometer must have read exactly 60. Your instantaneous speed had to match your average speed at least once, because you cannot stay entirely above or entirely below your own average the whole time.

Formally: if f is continuous on the closed interval [a, b] and differentiable on the open interval (a, b), then there exists at least one point c in (a, b) where f'(c) = (f(b) - f(a)) / (b - a). The right side is the average rate of change — the slope of the straight line joining the two endpoints — and f'(c) is the instantaneous rate of change. The theorem promises a point where the tangent line is parallel to that connecting line.

Both conditions earn their keep. Continuity on the whole closed interval and differentiability inside cannot be dropped: the function f(x) = |x| on [-1, 1] has average slope 0, yet its derivative is never 0 because of the corner at x = 0, where f is not differentiable. The theorem is the quiet workhorse behind many results — for instance, it is how we prove that a function with derivative 0 everywhere on an interval must be constant.

f'(c) = (f(b) - f(a)) / (b - a), a < c < b

Average rate of change over [a, b] equals the instantaneous rate at some interior point c.

The theorem guarantees that such a c exists but does not tell you where it is or that it is unique; there can be several points where the tangent is parallel to the connecting line.

Also called
MVT拉格朗日中值定理中值定理拉格朗日中值定理