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.
An explicit construction gives Bernstein's lethargy theorem in the requested inequality form. Set
Strict decrease makes every coefficient positive. Telescoping and the limit assumption give
Thus
defines 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 is
Therefore the function satisfies
This 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.
The Chebyshev polynomial identity implies on . Since , the Weierstrass M-test shows that
converges uniformly on . Every partial sum is continuous, so the uniform limit theorem makes a well-defined continuous function.
Let
Then . Since every is odd and, for , is an odd integer,
It follows that
Thus 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. Define
Then decreases strictly to zero, so every , the series converges, and
Given , choose with . Monotonicity of best-approximation errors and of gives
Hence this continuous satisfies
for every polynomial of degree at most . This is the polynomial form of Bernstein's lethargy theorem.