For a strictly decreasing positive sequence , put and for . These are positive with sum . The positive lacunary Chebyshev series has error at degree zero and error whenever . This proves the lower-bound form of Bernstein's lethargy theorem with an explicit continuous function.
Past exam of the mathematics course of the University of Cambridge 2013 iii Paper 61 6 c Solution Created 2026-10-03 Updated 2026-10-07
An explicit construction gives Bernstein's lethargy theorem in the requested inequality form. SetStrict decrease makes every coefficient positive. Telescoping and the limit assumption giveThusdefines a continuous function by the Weierstrass M-test and the uniform limit theorem. Apply the positive lacunary Chebyshev series calculation. At ,For , choose so that . Its error isTherefore the function satisfiesThis explicit Chebyshev construction for Bernstein lethargy also has . It shows that continuity imposes no universal speed of convergence of best polynomial approximation, even though convergence itself follows from the Weierstrass approximation theorem.
Past exam of the mathematics course of the University of Cambridge 2019 ii Paper 1 2H Solution Created 2026-09-24 Updated 2026-09-29
The Chebyshev polynomial identity implies on . Since , the Weierstrass M-test shows thatconverges uniformly on . Every partial sum is continuous, so the uniform limit theorem makes a well-defined continuous function.
LetThen . Since every is odd and, for , is an odd integer,It follows thatThus the error has equal alternating extrema at ordered points. The Chebyshev alternation theorem shows that is a best uniform approximation among polynomials of degree at most , and in particular
Now let be the prescribed decreasing positive sequence. DefineThen decreases strictly to zero, so every , the series converges, andGiven , choose with . Monotonicity of best-approximation errors and of givesHence this continuous satisfiesfor every polynomial of degree at most . This is the polynomial form of Bernstein's lethargy theorem.