Before you begin
- Continuity, EVT, and differentiation rules.
Learning objectives
- Apply Rolle's theorem and MVT only on intervals meeting their hypotheses.
- Deduce monotonicity and the constant-difference theorem.
- Construct a linearization and bound its remainder using a second derivative.
If a journey covers 100 kilometres in two hours, must the instantaneous speed ever equal 50 kilometres per hour? Under a differentiable position model for one-directional travel, the mean value theorem says yes. Its force comes from linking information about a whole interval to a derivative at some interior point.
An interior extremum has a stationary derivative
Suppose has a local maximum at an interior point and is differentiable there. For small positive , ; for small negative , the quotient is nonnegative. If the two-sided limit exists, it must be both nonpositive and nonnegative, hence zero. A local minimum is similar. This is Fermat’s stationary-point theorem. It does not apply to endpoints or points where the derivative fails to exist, and its converse is false: is stationary at zero without an extremum.
Rolle and the mean value theorem
Rolle’s theorem: if is continuous on , differentiable on , and , some has . EVT gives attained extremes. If the function is nonconstant, at least one extreme differs from the equal endpoint value and is attained inside; Fermat’s theorem applies. If it is constant, every interior derivative is zero.
For the mean value theorem, remove the secant line. Define
Its endpoint values are both zero, so Rolle gives an interior with
The continuity and differentiability assumptions remain essential. For on , the endpoint secant slope is zero but no derivative equals zero: slopes are and , and the derivative fails at zero.
For on , the secant slope is , matched by . MVT guarantees at least one matching point, not necessarily a unique one.
Consequences that calculus repeatedly uses
If everywhere on an interval, any two inputs satisfy . Thus is strictly increasing. If throughout an interval, the same equation shows it is constant. If on an interval, apply the zero-derivative result to : the functions differ by a constant.
“On an interval” cannot be dropped. The function on negative inputs and on positive inputs has derivative zero throughout its disconnected domain, but is not one constant across that domain. Each connected interval can carry its own constant.
If throughout the interval, MVT yields . This turns a derivative bound into a finite-change bound. For example, implies for radian inputs.
Linearization with an error estimate
The local linear approximation at is . For near , , so .
If is twice continuously differentiable on an interval joining and and there, Taylor’s first-order remainder bound gives
One proof follows from the integral remainder after integration is established; a Cauchy mean value theorem argument also proves it. We state the bound here with its extra smoothness assumption rather than treating it as part of the derivative definition. For the square-root example on , , giving error at most . The negative second derivative also shows the tangent lies above this concave-down curve.
Exercises
- Find a point supplied by MVT for on .
- Explain precisely why Rolle’s theorem fails for on .
- Prove that two antiderivatives of on differ by a constant.
- Linearize at and approximate .
- Bound that approximation error using on .
- If a differentiable function has on , bound .
Worked solutions
- The secant slope is . Solve in : .
- It is continuous with equal endpoint values, but not differentiable at the interior point zero.
- Their difference has derivative zero throughout the interval ; MVT forces that difference to be constant.
- , giving .
- The bound is .
- At most .