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Landau kernel

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

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The Landau kernel is named after the German number theorist Edmund Landau. The kernel is a summability kernel defined as:1

L n ( t ) = { ( 1 t 2 ) n c n if  1 t 1 0 otherwise {\displaystyle L_{n}(t)={\begin{cases}{\frac {(1-t^{2})^{n}}{c_{n}}}&{\text{if }}{-1}\leq t\leq 1\\0&{\text{otherwise}}\end{cases}}} where the coefficients c n {\displaystyle c_{n}} are defined as follows:

c n = 1 1 ( 1 t 2 ) n d t . {\displaystyle c_{n}=\int _{-1}^{1}(1-t^{2})^{n}\,dt.}

Visualisation

Using integration by parts, one can show that:2 c n = ( n ! ) 2 2 2 n + 1 ( 2 n ) ! ( 2 n + 1 ) . {\displaystyle 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 ) = { ( 1 t 2 ) n ( 2 n ) ! ( 2 n + 1 ) ( n ! ) 2 2 2 n + 1 for  t [ 1 , 1 ] 0 elsewhere {\displaystyle L_{n}(t)={\begin{cases}(1-t^{2})^{n}{\frac {(2n)!(2n+1)}{(n!)^{2}\,2^{2n+1}}}&{\text{for }}t\in [-1,1]\\0&{\text{elsewhere}}\end{cases}}}

Plotting this function for different values of n reveals that as n goes to infinity, L n ( t ) {\displaystyle L_{n}(t)} approaches the Dirac delta function, as seen in the image,1 where the following functions are plotted.

Properties

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

Dirac sequences

Definition: Dirac sequenceA Dirac sequence is a sequence { K n ( t ) } {\displaystyle \{K_{n}(t)\}} of functions K n ( t ) : R R {\displaystyle K_{n}(t)\colon \mathbb {R} \to \mathbb {R} } that satisfies the following properities:

  • K n ( t ) 0 , t R  and  n Z {\displaystyle K_{n}(t)\geq 0,\,\,\forall t\in \mathbb {R} {\text{ and }}\forall n\in \mathbb {Z} }
  • K n ( t ) d t = 1 , n {\displaystyle \int _{-\infty }^{\infty }K_{n}(t)\,dt=1,\,\forall n}
  • ε > 0 δ > 0 N Z + n N : {\displaystyle \forall \varepsilon >0\,\forall \delta >0\,\exists N\in \mathbb {Z} _{+}\,\forall n\geq N:}
    R [ δ , δ ] K n ( t ) d t = δ K n ( t ) d t + δ K n ( t ) d t < ε {\displaystyle {}\quad \int _{\mathbb {R} \smallsetminus [-\delta ,\delta ]}K_{n}(t)\,dt=\int _{-\infty }^{-\delta }K_{n}(t)\,dt+\int _{\delta }^{\infty }K_{n}(t)\,dt<\varepsilon }

The third bullet point means that the area under the graph of the function y = K n ( t ) {\displaystyle y=K_{n}(t)} becomes increasingly concentrated close to the origin as n approaches infinity. This definition lends us to the following theorem.

TheoremThe sequence of Landau kernels is a Dirac sequence

Proof: We prove the third property only. In order to do so, we introduce the following lemma:

LemmaThe coefficients satsify the following relationship, c n 2 n + 1 {\displaystyle c_{n}\geq {\frac {2}{n+1}}}

Proof of the Lemma:

Using the definition of the coefficients above, we find that the integrand is even, we may write c n 2 = 0 1 ( 1 t 2 ) n d t = 0 1 ( 1 t ) n ( 1 + t ) n d t 0 1 ( 1 t ) n d t = 1 1 + n {\displaystyle {\frac {c_{n}}{2}}=\int _{0}^{1}(1-t^{2})^{n}\,dt=\int _{0}^{1}(1-t)^{n}(1+t)^{n}\,dt\geq \int _{0}^{1}(1-t)^{n}\,dt={\frac {1}{1+n}}} completing the proof of the lemma. A corollary of this lemma is the following:

CorollaryFor all positive, real δ : {\displaystyle \delta :} R [ δ , δ ] K n ( t ) d t 2 c n δ 1 ( 1 t 2 ) n d t ( n + 1 ) ( 1 δ 2 ) n {\displaystyle \int _{\mathbb {R} \smallsetminus [-\delta ,\delta ]}K_{n}(t)\,dt\leq {\frac {2}{c_{n}}}\int _{\delta }^{1}(1-t^{2})^{n}\,dt\leq (n+1)(1-\delta ^{2})^{n}}

See also

See also

References

References

  1. Terras, Audrey (May 25, 2009). "Lecture 8. Dirac and Weierstrass" (PDF).
  2. Hilber, Courant. Methods of Mathematical Physics, Vol. I. p. 84.