Consider the original worked example on . First, existence: a polynomial function is a continuous function, and . The intermediate value theorem therefore supplies a zero of a function , even before its value has been calculated.
Second, uniqueness is a separate argument. The derivative is . The derivative criterion for monotonicity, obtained from the mean value theorem, makes a strictly increasing function. Two distinct zeros of a function would contradict that strict increase. Thus this root bracket contains exactly one zero of a function; indeed the same derivative argument proves uniqueness on the entire real line.
Third, localization uses the existing bisection method. Set ; after completed halvings, retain with opposite endpoint signs. Each update tests the old midpoint . The first five exact updates are
Every retained root bracket contains by the intermediate value theorem. After ten halvings, exact arithmetic gives
Hence . The new midpoint and its bisection error bound are
This midpoint is the estimate after the tenth update; the last tested point was . In general the retained width is , so the bisection error bound is . Nine halvings already suffice for an error at most , since . This guarantee comes from the width of the root bracket, independently of any displayed decimal approximation to the unknown zero of a function. Endpoint signs must be established reliably if evaluations use floating-point arithmetic.
Figure 1.
The cubic x cubed plus x minus one: its unique root and the first five nested bisection brackets
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Mean value theorem Created 2026-09-24 Updated 2026-10-14
The mean value theorem says that an average rate of change is attained as an instantaneous rate somewhere between the endpoints. Let and let the real-valued function be continuous on the closed interval and differentiable on the open interval . Then there exists such that
The right-hand side is the slope of the secant line joining to ; the left-hand side is the slope of the tangent line at . The derivative need not be continuous, and the function need not be differentiable at the endpoints. [ref]
For the polynomial on , the secant line has slope . Since the derivative is , the required interior point is . The tangent line there is , whereas the secant line is . Their equal slopes make them parallel, but they are distinct straight lines: the theorem equates rates, not heights.
Figure 1.
The secant line and interior tangent line to have equal slopes but different heights
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The practical strength is that the unknown point can disappear from an estimate. Under the same hypotheses, if the derivative satisfies throughout , where , then
Applying this to every subinterval proves Lipschitz continuity with Lipschitz bound . For example, on has , so an input change of size at most changes its output by at most , as long as both inputs lie in that interval. A local derivative bound therefore controls finite changes without computing an integral. The sign of the derivative similarly gives the derivative criterion for monotonicity.
Taking shows that a function with zero derivative throughout a real interval is a constant function, provided it is continuous at any included endpoints. The interval condition is essential: on the domain of a function , the function equal to zero on the left interval and one on the right interval has zero derivative everywhere. It is a locally constant function, yet not a constant function on the whole domain of a function. The mean value theorem cannot cross the gap.
A concise proof subtracts the secant line: set and . Then , and Rolle's theorem gives an interior point with . The geometric idea is to remove the average trend and find a horizontal tangent line in what remains.