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Asymptotic formula for the Riesz means of the spectral functions of Laplace-Beltrami operator on unit sphere

To cite this article: Ahmad Fadly Nurullah Rasedee et al 2017 J. Phys.: Conf. Ser. 890 012117

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Asymptotic f ormula f or t he Riesz m eans o f t he s pectral f unctions o f Laplace-Beltrami o perator o n u nit s phere

Ahmad Fadly Nurullah Rasedee1, Anvarjon Ahmedov2 and Mohammad Hasan Abdul Sathar3

1Faculty of Economics and Muamalat, Islamic Science University of Malaysia, 78100 Nilai, Negeri Sembilan, Malaysia

2Faculty of Industrial Sciences and Technology, Pahang University of Malaysia, 26300 Gambang, Kuantan, Pahang, Malaysia

3Centre of Foundation Studies for Agricultural Science, Putra University of Malaysia, 43400 Serdang, Selangor, Malaysia

E-mail:[email protected]

Abstract. The mathematical models of the heat and mass transfer processes on the ball type solids can be solved using the theory of convergence of Fourier-Laplace series on unit sphere. Many interesting models have divergent Fourier-Laplace series, which can be made convergent by introducing Riesz and Cesaro means of the series. Partial sums of the Fourier-Laplace series summed by Riesz method are integral operators with the kernel known as Riesz means of the spectral function. In order to obtain the convergence results for the partial sums by Riesz means we need to know an asymptotic behavior of the latter kernel. In this work the estimations for Riesz means of spectral function of Laplace-Beltrami operator which guarantees the convergence of the Fourier-Laplace series by Riesz method are obtained.

1. Introduction

Kogbetliantz obtained an asymptotic formula for a multi dimensional sphere by Cesaro means. Pulatov in [1] then obtained an asymptotic formula for spectral function of the spectral expansions by Riesz meansα ∈ Z+. Finally, Ahmedov [2] extended the estimation for Riesz means for non integer values of the order using a new approach for summability of Laplace series, which is based on the spectral expansion properties of a self-adjoint Laplace-Beltrami operator.

For the properties on the equivalence of Riesz and Cesaro means, we refer to articles [3–8]. Hobson ( [5], pages 90-98) reproduced the proof for equivalence between Cesaro and Riesz means for any α ≥ 0. Since then, more fundamental proofs were obtained provided in Chandrasekharan and Minakshisundarams’Typical means[3].

Studies conducted in [7] established an equivalence between Cesaro and Riesz means by employing properties on the absolute summability of a series by Riesz means as provided in [6]. Ingham’s estimation in [7] was obtained by expressing the fundamental functions ofAknandωkin linear terms of each other.

The aim of this research is to establish the asymptotic behavior for Riesz means of the spectral function of the Laplace operator on unit sphere. We will show that the asymptotic behavior for ultra- spherical spectral expansion of Riesz means is similar to the Cesaro means obtained in [9] with the use of equivalent properties of the two means. With properties found in [4], [5] and [7], we are able to overcome previous restrictions and obtain the asymptotic formula for the Riesz means kernel of the

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2

spectral expansions of orderα >0, α∈ <. Some recent works on the Riesz means of spectral functions can be found in the following articles [10–19] and more.

2. CesaroandRiesz meansofthe spectral function LetSN be unit sphere inRN+1 :

SN ={x= (x1, x2, ..., xN+1)∈RN+1 :x21+x22+...+x2N+1 = 1}.

The sphere SN is naturally equipped with a positive measuredσ(x) and with an elliptic second order differential operator∆s, which named the Laplace-Beltrami operator on the sphere. The contraction of a homogeneous polynomial of degreek= 0,1,2, ...to the unit sphereSN is called a spherical harmonic of degreek.The space of spherical harmonics of degreekwe denote byHk. The spherical harmonics Y(x) ∈ Hk are eigenfunctions of the Laplace-Beltrami operator ∆s corresponding to the eigenvalue k(k+N−1):

sY(x) +k(k+N −1)Y(x) = 0, x∈SN. Among the spherical harmonics of orderkit can be chosen a orthonormal basis:

{Y1(k)(x), Y2(k)(x), ..., Ya(k)k (x)}, k= 0,1,2, ..., whereak=dim(Hk).

One of the main problems of harmonic analysis is the reconstruction of functions from their expansion:

f(x)∼

X

k=0 ak

X

j=1

fjkYj(k)(x), (1)

wherefjk =R

SNf(y)Yj(k)(y)dσ(y), j= 1,2, ..., ak;k= 0,1,2, ....

We study the summability of the (1) by Riesz means Enαf(x) =

n

X

k=0 ak

X

j=1

1λk

λn

α

fjkYj(k)(x), and Cesaro means

Snαf(x) =

n

X

k=0

Aαn−k Aαn

ak

X

j=1

fjkYj(k)(x).

The Riesz means and Cesaro means are integral operators with the kernels Θα(x, y, n) and Φ(α)(x, y, n)respectively:

Θα(x, y, n) =

n−1

X

k=0

1− λk

λn

α ak

X

j=1

Yj(k)(x)Yj(k)(y),

Φ(α)(x, y, n) =

n

X

k=0

Γ(n+ 1)Γ(n−k+ 1 +α) Γ(n+α+ 1)Γ(n−k+ 1)

ak

X

j=1

Yj(k)(x)Yj(k)(y).

It was previously established that when α is a positive integer, the kernels Φ(α)(x, y, n) and Θα(x, y, n)share common asymptotic behaviors. In this work, we will extend this result for any real α >0. To do this we need to establish some facts about the means of the series.

With the help of Gegenbauer polynomialsPkν(t),which can be defined by Pkν(t) = (−2)kΓ(k+ν)Γ(k+ 2ν)

Γ(ν)Γ(2(k+ν)) (1−t2)−(ν−12)dk dtk

h

(1−t2)k+ν−12i

, ν = N−1

2 , for the kernels of the Riesz means and Cesaro means we obtain:

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Lemma 2.1. For anyx, y∈SN one has Θα(x, y, n) =

n−1

X

k=0

1− λk

λn α

(k+ν)νPk(ν)(cosγ) (2) and

Φ(α)(x, y, n) =

n

X

k=0

Γ(n+ 1)Γ(n−k+ 1 +α)

Γ(n+α+ 1)Γ(n−k+ 1)(k+ν)νPk(ν)(cosγ), (3) whereγ(x, y)denotes a spherical distance betweenx∈SN andy∈SN.

3. PropertiesofRiesz means

Consider a functionf with support onR+. For a locally bounded variationf andα > −1, the Riesz means is defined as follows

fα(t) = Z t

0

1−s

t α

df(s) =t−α Z t

0

(t−s)αdf(s), t >0

The meanfα(t)is defined forα≥0except whenf is discontinuous att. Hence, makingfαdefined for allt >0, by

fα(t) = Z t−0

0

1−s

t α

df(s) and also denoted as

fα(t) = α t

Z t

0

1−s

t α−1

f(t)dt, α >0 If we setα >0,

Rα(t), t >0; Rα(t) = 0, t≤0, where with the convolution

tαfα(t) =Rα∗f(t), which is more convenient to work with.

Note thatRαhas a Fourier-Laplace transform analytic in the lower half plane Rbα(ξ) =

Z

0

αtα−1e−itξdt= Γ(α+ 1)(iξ)−α

where(iξ)−αis defined as the analytic function in the lower half plane with the argumentiξis taken as zero whenξ is on the negative imaginary axis. ByR−1α we denote the distribution with support on R+

with Laplace transform equal to (iξ)α/Γ(α+ 1). The following property of the Riesz means will be applied to extend the estimation of the spectral function for non-integer values.

Theorem 3.1. Let κ be a complex number with Re(κ) > 0, and M0(t) and M1(t) are positive inreasing functions and in(0,+∞). Iff(t) = 0, t <0and for allt >0satisfied inequalities:

|f(t)| ≤M0(t) and |tκfκ(t)| ≤M1(t) (4) then for0< Re(α)< Re(κ)we have

|tαfα(t)| ≤C(1 +|α|)Re(κ)+2 |α|

Re(α) + |κ−α|

Re(κ−α

M

Re(κ−α) Re(κ)

0 (t)M

Re(α) Re(κ)

1 (t) (5)

whereCis dependent only onκ.

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4

For details and proof of this theorem we refer the readers to the paper [20].

Let

Mα(t) = t(N−1)/2

(sinγ)(N−1)/2(sinγ2)1+α + t(N−3)/2

(sinγ)(N+1)/2(sinγ2)1+α + t−1 (sinγ2)1+N Ifκis an integer, then for the kernelΘκ(x, y, n)we have

0(x, y, n)| ≤M0(t) and tκκ(x, y, n)| ≤Mκ(t).

From theorem,

|tαΘα(t)| ≤C(1 +|α|)Reκ+2 |α|

Reα+ |κ−α|

Re(κ−α)

M

Re(κ−α) Reκ

0 (t)M

Reα Reκ

1 . (6)

This gives

tαΘα(x, y, n)≤ t(N−1)/2

(sinγ)(N−1)/2(sinγ2)1+α + t(N−3)/2

(sinγ)(N+1)/2(sinγ2)1+α + t−1 (sinγ2)1+N

4. Main result

We can represent the Riesz means of the spectral function by Θα(x, y, n) =

n

X

k=0

1λk

λn

αΓ k+N2−1

Γ(k+N1) πN+12

P

N−1 2

k (cosγ), withPkν(t)denoting the Gegenbauer polynomials

Pkν(t) =(−2)kΓ(k+ν)Γ(k+ 2ν)

Γ(ν)Γ(2(k+ν)) (1t2)−(ν−12)dk dtk

h

(1t2)k+ν−12i .

By this representation it becomes apparent thatΘα(x, y, n)depends only on the spherical distance be- tweenxandythus, can be denoted as :Θα(x, y, n) = Θα(cosγ).

For the kernelΘα(x, y, n) = Θαn(cosγ), we prove the following theorem

Theorem 4.1. LetΘα(x, y, n)be the kernel of Riesz means of the spectral expansions. If

1)

π2 −γ(x, y)

< 2(n+1)πn , n→ ∞,then

Θα(x, y, n) =nN−12 −α(N−1) sin h

(n+N2 +α2π(N−1+2α)4 i (2 sinγ)

N−1

2 2 sinγ21+α + nN−32 −αηn(γ)

(sinγ)N+12 sinγ21+α+(n+ 1)−1εn(γ) sinγ21+N

wheren(γ)|< C, n(γ)|< C; 2) 0< γ0γπ

α(x, y, n)| ≤C4nN−1−α 3) 0γπ

α(x, y, n)| ≤C5nN.

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4.1.Proofof main result

For0<σ≤1asn→∞,wecandenoteRieszkernelofthespectralexpansionsas Θα(x, y, n) =

n

X

k=0

1 k

n+σ α ak

X

j=1

Yj(k)(x)Yj(k)(y)

rearranging the equations gives

Θα(x, y, n) = 1

n+σ α n

X

k=0

(n+σk)αZk(x, y).

Letm=n−k, hence

Θα(x, y, n) = (n+σ)−α

n

X

m=0

(m+σ)αZn−m(x, y),

which can generally be written as,

Θα(x, y, n) = (n+σ)−α

n

X

k=0

(k+σ)αZn−k(x, y).

The function(n+σ)αcan be expanded as (n+σ)α=

h

X

r=0

α r

σrnα−r+O(nα−h−1),

and by implementing the combination of Taylor’s theorem for h+ 1terms and Lagrange remainder.

Let α be a real number with α 6= −1,−2,−3, . . ., and an integer h ≥ 0: This allows us to formulate a sequence of polynomials pr(σ) = pr(σ;α), r = 0,1,2, . . . and a set of polynomials Pr(σ) =Pr(σ;α, h), r= 0,1,2, . . .such that

(n+σ)α=

h

X

r=0

pr(σ)Aα−rn +δn(σ) =

h

X

r=0

Pr(σ)Aαn−r+δn(σ), (7)

where

δn(σ) =δn(σ;α, h) =O(nα−h−1), (8) uniformly for0< σ≤1asn→ ∞and whenhis fixed andh > α.

For Cesaro means of orderαwe have the following property (see [5]), Aαn=Aα+1n −Aα+1n−1,

and through mathematical induction, the Cesaro means of orderα−rcan be denoted as follows Aα−rn =

r

X

k=0

(−1)k r

k

Aαn−k.

By substituting the equality above into Ph

r=0

pr(σ)Aα−rn yields

h

X

r=0

pr(σ)Aα−rn =

h

X

r=0

"

pr(σ)

r

X

k=0

(−1)k r

k

Aαn−k

#

=

h

X

k=0

(−1)kAαn−k

h

X

r=k

r k

pr(σ) =

h

X

r=0

Pr(σ)Aαn−r,

(7)

6

where

Pr(σ) = (−1)r

h

X

j=r

j r

pj(σ). The polynomialsPr(σ)are then substituted into the Riesz kernel giving

Θα(x, y, n) =(n+σ)−α

n

X

k=0 h

X

r=0

Pr(σ)Aαk−rZn−k(x, y) + (n+σ)−α

n

X

k=0

δk(σ)Zn−k(x, y)

=(n+σ)−α

h

X

r=0

Pr(σ)

n

X

k=0

Aαk−rZn−k(x, y) + (n+σ)−α

n

X

k=0

δk(σ)Zn−k(x, y)

=Inα+Jnα.

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We know thatδn(σ) =O(nα−h−1)where as the first part of (9) can be estimated by the following, Inα= (n+σ)−α

h

X

r=0

Pr(σ)

n

X

k=0

Aαk−r

ak

X

j=1

Yj(n−k)(x)Yj(n−k)(y)

= (n+σ)−α

h

X

r=0

Pr(σ)

n

X

k=0

Aαk−r

ak

X

j=1

Yj(n−k)(x)Y(n−r−(k−r))

j (y).

Letν =k−r, then

Inα= (n+σ)−α

h

X

r=0

Pr(σ)

n−r

X

ν=0

Aαν

ak

X

j=1

Yj(n−r−ν)(x)Yj(n−r−ν)(y)

= (n+σ)−α

h

X

r=0

Pr(σ)Aαn−r Aαn−r

n−r

X

ν=0

Aαν

ak

X

j=1

Yj(n−r−ν)(x)Yj(n−r−ν)(y)

= (n+σ)−α

h

X

r=0

Pr(σ)Aαn−rΦαn−r(x, y).

By expanding the series,Inαcan be estimated by Inα=n−α

P0AαnΦn(x, y) +P1Aαn−1Φn−1(x, y) +. . .+PhAαn−hΦn−h(x, y)

n−α

P0

nα Γ(α+ 1)

1 +O

1 n

Φn+P1

(n1)α Γ(α+ 1)

1 +O

1 n

Φn−1+. . . +Ph(nh)α

Γ(α+ 1)

1 +O 1

n

Φn−h(x, y)

Φn+O

1 nN−12 −α+1

+ P1Φn−1 Γ(α+ 1) +O

1 nN−12 −α+1

+· · ·+ PhΦn−h Γ(α+ 1)+O

1 nN−12 −α+1

Φn+O

1 nN−12 −α+1

.

Subsequently, this provides the following estimation of our kernel for Riesz means similiar to Kogbeliantz’s Cesaro means

Θαn(cosγ) = (N1)A

N−1

n2

Aαn

sin

n+N2 +α2

γπ2 N2−1+α

(2 sinγ)N−12 2 sinγ2α+1 + ξnα(γ)nN−32 −α

(sinγ)N+12 sinγ2α+1 +(n+ 1)−1ηnα(γ) sinγ2N+1 . For estimation purpose, we can approximateAαnandA

N−1

n2 (page 168, [8]) which gives A

N−1

n2

Aαn nN−12 −α,

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hence, estimating the Riesz kernel in the form of Θαn(cosγ) = (N1)nN−12 −αsin

n+N2 +α2

γπ2 N2−1+α

(2 sinγ)N−12 2 sinγ2α+1 + ξnα(γ)nN−32 −α

(sinγ)N+12 sinγ2α+1 +(n+ 1)−1ηαn(γ) sinγ2N+1 . In the case when0< γ0 ≤γ ≤πand0≤γ ≤π, it is not difficult to obtain the estimation:

α(cosγ)| ≤C4nN−1−α and α(cosγ)| ≤C5nN, respectively. This consequently proves Theorem 4.1.

Acknowledgments

This paper has been supported by University Sains Islam Malaysia (USIM) under its short term grant scheme and the Ministry of Education under its Fundamental Research Grant Scheme (FRGS).

References

[1] Pulatov, A K 1979 Ph.D. thesis Moscow State University Moscow, Russia [2] Ahmedov, A A 2011Applied Mathematics Letter24615–619

[3] Chandrasekharan, K and Minakshisundaram, S 1952Typical Means(Oxford: Oxford University Press.) [4] Hardy, G H 1949Divergent Series(Oxford: Clarendon Press)

[5] Hobson, E W 1958The theory of functions of a real variable and the theory of Fourier’s seriesvol II (New York: Dover Publications Inc)

[6] Hyslop, J M 1936Proceedings of the Edinburgh Mathematical Society(1vol 5) (Edinburgh Mathematical Society) pp 46–54

[7] Ingham, A E 1968Publ. Ramanujan Inst.1107–113

[8] Zygmund, A 1968Trigonometric series2nd ed vol I (London: Cambridge University Press.) [9] Kogbetliantz, E 1924J. Math. Pures Appl.9107–187

[10] Rakhimov A A 2011International training-seminars on mathematics

[11] Ahmedov, A A 2009Journal of Mathematical Analysis and Applications56310–321 [12] Alimov S A 2012Doklady Mathematics86597–599

[13] Ahmedov A A, Rasedee A F N and Rakhimov A 2013Journal of Physics: Conference Seriesvol 435 (IOP Publishing) p 012016

[14] Ahmedov A A, Rasedee A F N and Rakhimov A A 2013Malaysian Journal of Mathematical Sciences7315–326 [15] Ahmedov A A and Rasedee A F N 2015Malaysian Journal of Mathematical Sciences9337–348

[16] Rasedee A F N, Rakhimov A, Ahmedov A A, Ishak N and Hamzah S R 2017AIP Conference Proceedingsvol 1830 (AIP Publishing) p 070034

[17] Rasedee A F N, Rakhimov A and Ahmedov A A 2017AIP Conference Proceedingsvol 1830 (AIP Publishing) p 070006 [18] Rasedee A F N, Rakhimov A A, Ahmedov A A and Hassan T B H 2017Journal of Physics: Conference Seriesvol 819

(IOP Publishing) p 012018

[19] Rakhimov A A, Hassan T B H and Rasedee A F N 2017Journal of Physics: Conference Seriesvol 819 (IOP Publishing) p 012025

[20] Hormander L 1966Recent Advances in the Basic Sciences(Yeshiva University)

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