The even positive Fejér kernel of total mass one gives . The scaling property of the second modulus of smoothness bounds this by . On , gives . Choose . For twice continuously differentiable functions, the second-difference integral formula makes the error .
Use the central second difference and define the second modulus of smoothness by
We first need its scaling inequality. If is a positive integer, translation by gives the telescoping identity
The weights sum to . For , choose and ; then
The same bound covers trivially.
In the paper's normalization, the Fejér kernel is even and nonnegative, with . Pairing the positive and negative translations expresses the Fejér sum error as
Use the scaling bound and to obtain
For , . Bounding the numerator sine by one gives
The bound at holds by continuity. Choosing proves the Fejér second-modulus approximation bound with an explicit universal constant:
Finally, for twice continuously differentiable periodic , two applications of the fundamental theorem of calculus give the second-difference integral formula
The triangular weight has integral , so . Therefore
Use the centered second modulus of smoothness
The relevant modulus properties are for , , and when is continuous. The latter follows from the second-difference integral formula
The Fejér kernel is even, nonnegative and has integral one. Averaging the convolution at and therefore gives
Apply the second modulus of smoothness bound and :
For , , while . Thus
The removable value at causes no problem. With , the Fejér second-modulus approximation bound is
If is continuous, this also yields .
Write , and use the second modulus of smoothness . The Jackson kernel is even, nonnegative and has unit integral. Pairing the two halves of its convolution therefore gives
We need a weighted moment estimate rather than just concentration of the Jackson kernel. For , the bounds and imply
Consequently, splitting the integral at gives
The second modulus of smoothness satisfies for . To see this, choose when , put , and factor the function translation difference . Squaring gives at most translated second differences of step . Each function translation is an isometry in the supremum norm, and centered and forward second differences have the same supremum norm. This proves the stated scaling bound.
Taking , using , and integrating against the Jackson kernel now proves
Thus the Jackson operator estimate is uniform in both and .
For the requested degree- best uniform approximation, note that the Jackson kernel, and hence , has trigonometric polynomial degree at most . Indeed the fourth power in the Jackson kernel is the squared modulus of a squared sum of consecutive complex exponentials. Choose , so and . The second-difference integral formula gives
Applying the Jackson operator estimate with this yields the concise answer
The change of index is essential: itself generally has degree , exceeding the permitted degree.
Define the second modulus of smoothness by . The Jackson kernel is even, nonnegative and has integral one. Symmetrizing its convolution therefore gives
We first establish the needed scaling rule. For the translation operator , . Squaring gives . Central and forward second differences have the same norm. For every , take and . Taking the supremum over these proves
The zero-step case is immediate.
For , the inequalities , , and imply
Use the first estimate on and the second outside it. Then
All constants are independent of and . Combining these estimates proves the Jackson operator estimate
For , two applications of the fundamental theorem of calculus give the second-difference integral formula
for . Its absolute value is at most , so .
Finally, is a trigonometric polynomial of degree : its sine ratio squared is a Fejér polynomial of degree , and squaring doubles that degree. Thus has degree at most . To bound degree- best approximation, choose , rather than using directly. Since for , the smooth-function approximation rate is
Second modulus of smoothness Created 2026-10-06 Updated 2026-10-14
For a continuous periodic function set
It measures smoothness through second differences without requiring a derivative. For , factoring the translation difference gives . The second-difference integral formula gives for twice continuously differentiable functions.