Landau kernel

The Landau kernel is named after the German number theorist Edmund Landau. The kernel is a summability kernel defined as:

$$L_n(t)=\{\begin{array}{cc}\frac{(1-t^2{)}^n}{c_n}& \text{if }-1\le t\le 1\\ 0& \text{otherwise}\end{array}$$where the coefficients $c_n$ are defined as follows:

$$c_n=\underset{-1}{\overset{1}{\int }}(1-t^2{)}^{n}dt.$$

Visualisation

Using integration by parts, one can show that: $$c_n=\frac{(n!{)}^2{2}^{2n+1}}{(2n)!(2n+1)}.$$ Hence, this implies that the Landau kernel can be defined as follows: $$L_n(t)=\{\begin{array}{cc}(1-t^2{)}^n\frac{(2n)!(2n+1)}{(n!{)}^2{2}^{2n+1}}& \text{for }t\in [-1,1]\\ 0& \text{elsewhere}\end{array}$$

Plotting this function for different values of n reveals that as n goes to infinity, $L_n(t)$ approaches the Dirac delta function, as seen in the image, where the following functions are plotted.

Properties

Some general properties of the Landau kernel is that it is nonnegative and continuous on $ℝ$. These properties are made more concrete in the following section.

Dirac sequences

Template:Math theorem The third bullet point means that the area under the graph of the function $y=K_n(t)$ becomes increasingly concentrated close to the origin as n approaches infinity. This definition lends us to the following theorem. Template:Math theorem Proof: We prove the third property only. In order to do so, we introduce the following lemma: Template:Math theorem Proof of the Lemma:

Using the definition of the coefficients above, we find that the integrand is even, we may write$$\frac{c_n}{2}=\underset{0}{\overset{1}{\int }}(1-t^2{)}^{n}dt=\underset{0}{\overset{1}{\int }}(1-t{)}^n(1+t{)}^{n}dt\ge \underset{0}{\overset{1}{\int }}(1-t{)}^{n}dt=\frac{1}{1+n}$$completing the proof of the lemma. A corollary of this lemma is the following: Template:Math theorem

See also

• Poisson kernel
• Fejér kernel
• Dirichlet kernel