For , define , where is the space of degree-at-most- trigonometric polynomials. The first inverse theorem for trigonometric approximation states that a universal constant satisfies
For perspective, take best approximants at dyadic degrees and telescope their differences. Each difference between consecutive approximants has supremum norm at most twice the earlier error, and the Bernstein inequality for trigonometric polynomials multiplies that bound by its degree when differentiating. The resulting dyadic sum is bounded by the displayed sum because decreases with ; the remaining approximation error is also bounded by an average of earlier errors.
Now suppose for large , absorbing finitely many earlier terms into a constant. If , comparison with an integral gives . If , the same comparison gives . Substitution proves the requested two rates:
The logarithm is the endpoint contribution of the harmonic sum and cannot generally be removed, as the following Weierstrass function shows.
The Weierstrass M-test gives a continuous periodic Weierstrass function, since . For , the given best approximant leaves the tail
Its supremum norm is at most the sum of its coefficients, and at all cosine terms equal one, attaining that bound. Consequently
Put . Then and , giving , with constants depending only on .
For , part (a) gives . The first Jackson theorem for periodic approximation, , supplies the matching lower bound. Hence the modulus of continuity has the precise order
At , the inverse theorem for trigonometric approximation gives the upper bound , and part (c) proves the matching lower bound. Thus the critical Weierstrass modulus is
To pass from scales to all small , use monotonicity of the modulus of continuity and adjacent reciprocals, which are comparable to .
Take and . Since , every cosine term vanishes at , and
Set and . For , the sine argument lies in , where . The initial part therefore has a common sign and magnitude at least . The remaining tail has absolute value at most
The reverse triangle inequality now gives
for sufficiently large , because . This establishes the sharp logarithmic lower bound
The constant can be reduced to include the finitely many small indices: for the displayed lower bound is positive; for the first sine exceeds the tail bound , and for the first two sines contribute , exceeding the remaining tail bound . At the logarithmic right side is zero.
Here but is not Lipschitz continuous, so a first modulus of continuity bound is sufficient by the first Jackson theorem for periodic approximation but is not necessary. Nor is the weaker necessary bound sufficient: an explicit comparison is the logarithmic cusp with slow trigonometric approximation
extended periodically. On it is increasing and concave, so its largest increment over distance is from zero, giving for .
For a concrete approximation lower bound, its cosine Fourier coefficients satisfy
Indeed, integration by parts once replaces by ; integrating that against sine with primitive yields the stated positive integral. Its logarithmic growth follows because stays bounded by the Dirichlet test. All are negative and absolutely summable.
Let , a de la Vallée Poussin sum. Its multiplier is one for , for , and zero for ; the Fejér summation is a uniform-norm contraction property gives . Thus the functional has norm at most four and vanishes on every degree-at-most- trigonometric polynomial. Because the remaining multiplier weights are nonnegative and all ,
The first Jackson theorem for periodic approximation gives the corresponding upper bound. The same first-modulus order occurs with both and . Therefore first-modulus rates alone do not characterize the endpoint approximation class, unlike the matched direct and inverse rates for .

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