Jackson kernel Created 2026-10-06 Updated 2026-10-07
The normalized even kernelis nonnegative, has integral one, and is a trigonometric polynomial of degree . Its mass is concentrated on a scale : for . This controls a weighted second moment and produces the Jackson operator estimate.
Past exam of the mathematics course of the University of Cambridge 2005 iii Paper 68 1 Solution Created 2026-10-03 Updated 2026-10-14
Use the uniform norm and the central second difference , withThe Jackson kernel is even, nonnegative and normalized. Pairing and in its integral therefore givesWe will estimate this expression directly in terms of the second modulus of smoothness.
First prove the modulus scaling bound. With translations , the forward difference obeysEach function translation preserves the uniform norm, so . For , take and . Then andThe same bound is immediate at .
For , . Also , as follows by expressing the ratio, up to a unit-modulus factor, as a sum of complex exponentials. The given normalizing coefficient is at most a constant times . Consequentlyand these two estimates combine intoIndeed splitting at shows this with an absolute change of constant. HenceSubstitute the modulus bound in the symmetrized convolution and take the supremum over to obtain the Jackson operator estimateThe constant is independent of and the positive integer ; the kernel's quartic decay is what makes the weighted second-difference integral uniformly bounded.
Past exam of the mathematics course of the University of Cambridge 2012 iii Paper 70 1 Solution Created 2026-10-03 Updated 2026-10-14
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 givesWe need a weighted moment estimate rather than just concentration of the Jackson kernel. For , the bounds and implyConsequently, splitting the integral at givesThe 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 provesThus 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 givesApplying the Jackson operator estimate with this yields the concise answerThe change of index is essential: itself generally has degree , exceeding the permitted degree.
Past exam of the mathematics course of the University of Cambridge 2015 iii Paper 69 3 Solution Created 2026-10-03 Updated 2026-10-06
Define the second modulus of smoothness by . The Jackson kernel is even, nonnegative and has integral one. Symmetrizing its convolution therefore givesWe 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 provesThe zero-step case is immediate.
For , the inequalities , , and implyUse the first estimate on and the second outside it. ThenAll constants are independent of and . Combining these estimates proves the Jackson operator estimateFor , two applications of the fundamental theorem of calculus give the second-difference integral formulafor . 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