Take the continuous function on . It is Lipschitz continuous with Lipschitz constant one, but is not differentiable at . For , the sample values are , so
This is already a useful warning: the Bernstein polynomial is built from grid values but is not generally their polynomial interpolation.
Figure 1.
Bernstein polynomials approximate the values of an absolute value function, including its corner
. The black target is on ; colored curves are the explicitly computed Bernstein polynomials of degrees , , , and . Each has exact endpoint values and a smooth middle. These are theoretical functions, not measured data. Details.
Every finite approximant is differentiable, and symmetry makes its derivative zero at the center. The target instead has left derivative and right derivative . Smooth curves can therefore approach a corner in supremum norm while their center derivatives have no target value to approach. The Lipschitz error bound for Bernstein approximation quantifies the improvement in values.

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