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Journal of Inequalities and Applications Volume 2010, Article ID 647627,14pages doi:10.1155/2010/647627

Research Article

Asymptotic Behavior for a Class of Modified

α

-Potentials in a Half Space

Lei Qiao

1

and Guantie Deng

2

1Department of Mathematics and Information Science, Henan University of Finance and Economics,

Zhengzhou 450002, China

2Laboratory of Mathematics and Complex Systems, School of Mathematical Science,

Beijing Normal University, MOE, Beijing 100875, China

Correspondence should be addressed to Guantie Deng,[email protected]

Received 13 March 2010; Accepted 21 June 2010

Academic Editor: Shusen Ding

Copyrightq2010 L. Qiao and G. Deng. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

A class ofα-potentials represented as the sum of modified Green potential and modified Poisson integral are proved to have the growth estimatesRα,l,lx ox

β

n|x|l−2β2h|x|−1at infinity in the

upper-half space of then-dimensional Euclidean space, where the functionh|x|is a positive non-decreasing function on the interval0,∞satisfying certain conditions. This result generalizes the growth properties of analytic functions, harmonic functions, and superharmonic functions.

1. Introduction and Main Results

Let Rnn 2 denote the n-dimensional Euclidean space with points x

x1, x2, . . . , xn−1, xn x, xn, where xRn−1 and xnR. The boundary and closure of

an open Ω of Rn are denoted by Ω and Ω, respectively. The upper half-space is the set

H {x x, xnRn; xn > 0}, whose boundary is∂H. We identify Rn with Rn−1×R

and Rn−1 with Rn−1 × {0}, writing typical pointsx, y Rn as x x, x

n, y y, yn,

wherex x1, x2, . . . , xn−1, y y1, y2, . . . , yn−1 ∈ Rn−1 and putting x·y

n

j1xjyj

x·yxnyn, |x|

x·x, |x|√x·x.

ForxRnandr >0, letB

nx, rdenote the open ball with center atxand radiusrin

Rn.

It is well known that see, e.g., 1, Chapter 6 the positive powers of the Laplace operatorΔcan be defined by

(2)

whereα >0,fis a Schwarz function and

F

Rn

fxeixξdx. 1.2

It follows that we can extend definition 1.1 to certain negative powers of −Δ,

−Δ−α/2for 0< α < nand define an operatorI

αby

Iαf −Δ−α/2f F−1

|ξ|−αf, 1.3

where 0< α < nandfis a function in the Schwartz class.

Ifis defined as the inverse Fourier transform of|ξ|−αin the sense of distributions,

one can show that

Iαx γα|x|αn, 1.4

whereγαis a certain constantsee, e.g.,1, page 414for the exact value ofγα.

The function is known as the Riesz kernel. It follows immediately from the rules

for manipulating Fourier transforms that any Schwartz functionf can be written as a Riesz potential,

fx Iαgx

g

x γα

Rn

gy

xy nαdy, 1.5

where 0< α < nandg −Δα/2f.

This Riesz kernelinRninspired us to introduce the modified Riesz kernel forH. To

do this, we first set

Eαx

⎧ ⎨ ⎩

−log|x| ifαn2,

|x|αn if 0< α < n.

1.6

LetGαx, ybe the modified Riesz kernel forH, that is,

x, yEα

xy

xy, x, yH, x /y, 0< αn, 1.7

where∗denotes reflection in the boundary plane∂Hjust asyy1, y2, . . . , yn−1,yn.

We define the kernel functionPαx, ywhenxHandy∂Hby

x, y ∂Gαx, y

∂yn

yn0

xn

xy nα2, 1.8

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We remark thatG2x, yand P2x, yare the classical Green function and classical Poisson kernel forHrespectivelysee, e.g.,2, page 127.

Next we use the following modified kernel functionPα,mx, ydefined by

Pα,m x, y ⎧ ⎪ ⎪ ⎨ ⎪ ⎪ ⎩

x, y if y <1,

x, y

m−1

k0

Cαxn|x|k

y nα2kC nα2/2

k

x·y |x| y

if y ≥1, 1.9

wheremis a nonnegative integer;kt ω nα/2 is the ultrasphericalor Gegenbauer polynomialssee3. The Gegenbauer polynomials come from the generating function

1−2 trr2−ω

k0

ktrk, 1.10

where |r| < 1, |t| ≤ 1, and ω > 0. The coefficients

kt are called the ultraspherical or

Gegenbauerpolynomials of degreekassociated withω, each functionktis a polynomial of degreekint. Here note thatP2,mx, yis the modified Poisson kernel inH, which has been

used by several authorssee, e.g.,4–8.

Motivated by this modified kernel function Pα,mx, y, it is natural to ask if the

functionGαx, ycan also be modified? In this paper, we give an affirmative answer to this

question.

First we consider the modified kernel function in caseαn2, which is defined by

En,l

xy

⎧ ⎪ ⎪ ⎨ ⎪ ⎪ ⎩ En

xy if y <1,

En

xyR

logy

l−1

k1

xk

kyk

if y ≥1. 1.11

In case 0< α < n, we define

Eα,l

xy

⎧ ⎪ ⎪ ⎨ ⎪ ⎪ ⎩

xy if y <1,

xy

l−1

k0

|x|k y nαkC

nα/2

k

x·y |x| y

if y ≥1, 1.12

wherelis a nonnegative integer,x, yH, andx /y.

Then we define the modified kernel functionGα,lx, yby

Gα,l x, y ⎧ ⎨ ⎩

En,l1

xyEn,l1

xy∗ if αn2,

Eα,l1

xyEα,l1

xy∗ if 0< α < n.

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Write

Gα,l

x, μ

H

Gα,l

x, ydμy,

Uα,mx, ν

∂H

Pα,m

x, ydνy,

1.14

where μresp.,ν is a nonnegative measure onHresp., ∂H. Here note thatGα,0x, μ is

nothing but the Green potential of general ordersee9–11. Following Fugledesee6, we set

ky, μ

E

ky, xdμx, kμ, x

E

ky, xdμy, 1.15

for a nonnegative Borel measurable functionkonRn×Rnand a nonnegative measureμon a

Borel setERn. We define a capacityC kby

CkE sup μRn, EH, 1.16

where the supremum is taken over all nonnegative measuresμsuch that the support of

μis contained inEandky, μ≤1 for everyyH.

Forβ≤1 andδ≤1, we consider the functionkα,β,δdefined by

kα,β,δ

y, xxnβynδGα

x, y forx, yH. 1.17

Ifβ δ 1, then kα,1,1 is extended to be continuous onH×Hin the extended sense,

whereHH∂H.

Now we will discuss the behavior at infinity of the modified Green potential and modified Poisson integral in the upper-half space, respectively. For related results, we refer the readers to the papers by Mizutasee9, Siegel and Talvilasee8, and Mizuta and Shimomurasee7.

Theorem 1.1. Lethrbe a positive nondecreasing function on the interval0,such that

a−1hris nondecreasing on0,, b−2hris nonincreasing on0,andlim

r→ ∞−2hr 0,

cthere exists a positive constantMsuch thath2rMhrfor anyr >0.

Letμbe a nonnegative measure onHsatisfying

H

nh y

1 y nlαβδ2

dμy<. 1.18

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ilim|x| → ∞,xHExnβ|x|−l2β−2h|x|Gα,lx, μ 0;

ii∞i12−inαβδC

kα,β,δEi<,

whereEi{xE: 2i≤ |x|<2i1}.

Corollary 1.2. Letμbe a nonnegative measure onHsatisfying

H

yn

1 y nlα2

y<. 1.19

Then there exists a Borel setEHwith properties

ilim|x| → ∞,xHExnβ|x|βl−1Gα,lx, μ 0;

ii∞i12−inαβ1C

kα,β,1Ei<, whereEi{xE: 2i≤ |x|<2i1}.

Theorem 1.3. Lethbe defined as inTheorem 1.1andνa nonnegative measure on∂Hsatisfying

∂H

h y

1 y nmαβ3

y<. 1.20

Then there exists a Borel setFHwith properties

ilim|x| → ∞,xHFx|x|−m2β−2h|x|Uα,mx, ν 0;

i∞i12−inαβ1C

kα,β,1Fi<, whereFi{xF: 2i≤ |x|<2i1}.

Remark 1.4. In the caseml,FE.

Corollary 1.5. Letνbe a nonnegative measure on∂Hsatisfying

∂H

1

1 y nlα2

y<. 1.21

Then there exists a Borel setEHsatisfyingCorollary 1.2(ii) such that

lim

|x| → ∞,xHEx

β

n |x|βl−1Uα,lx, ν 0. 1.22

We define the modifiedα-potentials onHby

Rα,l,mx Gα,l

x, μUα,mx, ν, 1.23

(6)

The following theorem follows readily from Theorems1.1and1.3.

Theorem 1.6. Lethbe defined as inTheorem 1.1andRα,l,lxdefined by1.23. Then there exists a

Borel setEHsatisfyingCorollary 1.2(ii) such that

lim

|x| → ∞,xHEx

β

n |x|−l2β−2h|x|Rα,l,lx 0. 1.24

Remark 1.7. In the caseh|x| |x|1−β0 β 1, by usingLemma 2.5below, we can easily

show thatCorollary 1.2iiwithα 2 means thatEisβ-rarefied at infinity in the sense of

12. In particular, This condition withα 2,β 1, andh|x| ≡ 1resp.,α 2,β 0, and

h|x| |x|means thatEis minimally thin at infinityresp., rarefied at infinityin the sense of13.

Theorem 1.6is the best possibility as to the size of the exceptional set. In fact we have the following result. The proof of it is essentially due to Mizutasee9, Theorem 2, so we omit the proof here.

Theorem 1.8. LetEHbe a Borel set satisfyingCorollary 1.2(ii),hdefined as inTheorem 1.1, and

Rα,l,lxdefined by1.23. Then we can find a nonnegative measureλdefined onHsatisfying

H

h y

1 y nlαβ3

y<, 1.25

such that

lim sup

|x| → ∞,xE

xnβ|x|−l2β−2h|x|Rα,l,lx, 1.26

wheredλy yndμyyHanddλy dνyy∂H.

2. Some Lemmas

Throughout this paper, let M denote various constants independent of the variables in questions, which may be different from line to line.

Lemma 2.1. There exists a positive constantMsuch thatGαx, yMxnyn/|xy|nα2,where

0< αn, x x1, x2, . . . , xn, andy y1, y2, . . . , yninH.

This can be proved by simple calculation.

Lemma 2.2. Gegenbauer polynomials have the following properties: i|

kt| ≤Ckω1 Γ2ωk/Γ2ωΓk1, |t| ≤1;

ii d/dtCωkt 2ωCkω11t, k≥1;

iii∞k0k1rk 1r−2ω;

(7)

Proof. iandiican be derived from3.iiifollows by takingt 1 in1.10;ivfollows byi,iiand the Mean Value Theorem for Derivatives.

Lemma 2.3. Letlbe a nonnegative integer andx,yRnα n 2, then one has the following

properties:

i|Ilk0xk/yk1| ≤l−1

k02kxn|x|k/|y|k2; ii|I∞k0xkl1/yk| ≤2l1x

n|x|l;

iii|Gn,lx, yGnx, y| ≤Mlk1kxnyn|x|k−1/|y|k1;

iv|Gn,lx, y| ≤Mkl1kxnyn|x|k−1/|y|k1.

Lemma 2.4see14. Letmbe a nonnegative integer andM >0.

iIf1≤ |y| ≤ |x|/2, then|Pα,mx, y| ≤Mxn|x|m−1/|y|nmα1.

iiIf|y| ≥2|x|and|y| ≥1, then|Pα,mx, y| ≤Mxn|x|m/|y|nmα2.

The following lemma can be proved by using Fuglede6, Th´eor`em 7.8.

Lemma 2.5. For any Borel setEinH, we haveCkα,β,1E Ckα,β,1Eand

Ckα,β,δE infλH

resp. infλH ifδ <1 resp., δ1, 2.1

where the infimum is taken over all nonnegative measuresλonH (resp.,H) such thatkα,β,δλ, x≥1

for everyxE.

3. Proof of

Theorem 1.1

For any1 >0, there existsR1>2 such that

{yH,|y|≥R1}

nh y

1 y nlαβδ2

y< 2. 3.1

For fixedxHand|x| ≥2R1, we write

Gα,l

x, μ

H1

x, ydμy

H2

x, ydμy

H3

Gα,l

x, y

x, ydμy

H4

Gα,l

x, ydμy

H5

x, ydμy

H6

Gα,l

x, y

x, ydμy

H7

Gα,l

x, ydμy

V1x V2x V3x V4x V5x V6x V7x,

(8)

where

H1

yH: yR1, xy

|x|

2

, H2

yH: yR1,

|x|

2 < xy ≤3|x|

,

H3

yH: yR1, xy ≤3|x|

, H4

yH: yR1, xy >3|x|

,

H5 H6

yH: 1≤ y < R1

, H7

yH: y <1.

3.3

We distinguish the following two cases.

Case 10< α < n. Note thatV1x xβn

H1kα,β,δy, xy

δ

ndμy.In view of1.18, we can find

a sequence{ai}of positive numbers such that limi→ ∞ai∞and∞i1aibi<∞, where

bi

{yH:2i−1<|y|<2i2}

nh y

y nlαβδ2

y. 3.4

Consider the sets

Ei

xH: 2i≤ |x|<2i1, xnβV1xai12il−2β2h

2i1−1

, 3.5

fori1,2, . . . .Ifωis a nonnegative measure onHsuch thatEiandkα,β,δy, ω≤1 for

yH, then we have

H

ai2−il−2β2h

2i1 xβ

n V1xdωx

ai2−il−2β2h

2i1

{yH:2i−1<|y|<2i2}

kα,β,δ

y, ωynδdμy

Mai2−il−2β2h

2i1

{yH:2i−1<|y|<2i2}

ndμy

Mai2−il−2β2h

2i1

{yH:2i−1<|y|<2i2}

y 2−β h y

y nlα2

1 y 2−δ

nh y

1 y nlαβδ2

y

M2−il−2β22i22−β2i2nlα22−i2−δ

{yH:2i−1<|y|<2i2}

h y y nmαβ3

y

M2inαβδaibi.

(9)

So that

Ckα,β,δ

EiM2inαβδaibi, 3.7

which yields

i1

2−inαβδCkα,β,δ

Ei<. 3.8

SettingEi1Ei, we see thatTheorem 1.1iiis satisfied and

lim sup

|x| → ∞,xHEx

β

n |x|−l2β−2h|x|V1x≤lim sup i→ ∞ a

−1

i 0. 3.9

Moreover byLemma 2.1,

|V2x| ≤Mxn

H2

yn

xy nα2

y

Mxn|x|αn−2

H2

y 2−β

h y y

nlα1 yδnh y

1 y nlαβδ2

y

M2xn|x|lβ1h4|x|−1.

3.10

Note that

0t ≡ 1. By iiiandivin Lemma 2.2, we taket x·y/|x||y|,tx·y/|x||y∗|inLemma 2.2ivand obtain

|V3x| ≤

H3

l

k1

|x|k

y nαk2nαC

nα2/2

k−1 1

xnyn

|x| y

y

Mxn|x|l−1 l−1

k1

1 4k−1C

nα2/2

k−1 1

H3

y 2−β

h y

nh y

1 y nlαβδ2

y

M1xn|x|lβ1h4|x|−1.

3.11

Similarly, we have byiiiandivinLemma 2.2

|V4x| ≤

H4 ∞

kl1

|x|k

y nαk2nαC

nα2/2

k−1 1

xnyn

|x| y

y

Mxn|x|l

kl1

1 2k−1C

nα2/2

k−1 1

H4

y 1−β

h y

nh y

1 y nlαβδ2

y

M1xn|x|lβ1h2|x|−1.

(10)

ByLemma 2.1, we have

|V5x| ≤Mxn

H5

yn

xy nα2

y

Mxn|x|αn−2

H5

y 2−β h y y

nlα1 yδnh y

1 y nlαβδ2

y

Mxn|x|l−1R2−1βhR2 −1.

3.13

Similarly asV3x, we obtain

|V6x| ≤

H6

l

k1

|x|k

y nαk2nαC

nα2/2

k−1 1

xnyn

|x| y

y

Mxn l

k1

Ckn1α2/21|x|k−1Rl−k1

2

H6

y 1−β h y

nh y

1 y nlαβδ2

dμy

MRl1xn|x|l−1h1−1.

3.14

Finally, byLemma 2.1, we have

|V7x| ≤Mxn|x|l−1h1−1. 3.15

Combining3.9–3.15, we prove Case1.

Case 2αn2. In this case, the growth estimates ofV1x,V2x,V5xandV7xcan be proved similarly as in Case1. Inequations3.9,3.10,3.13and3.15still hold.

Moreover we have byLemma 2.3iii

|V3x| ≤M

H3

l

k1

kxnyn|x|k−1

y k1 y

l1 y 2−β

h y

nh y

1 y lβδ2

y

Mxn|x|l−1 l

k1

k

4k−1

H3

y 2−β

h y

nh y

1 y lβδ2

y

M1xn|x|lβ1h4|x|−1.

(11)

ByLemma 2.3iv, we have

|V4x| ≤M

H4 ∞

kl1

kxnyn|x|k−1

y k1 y

l2 y 1−β

h y

nh y

1 y lβδ2

y

Mxn|x|l

kl1

k

2k−1

H4

y 1−β

h y

nh y

1 y lβδ2

y

M1xn|x|lβ1h2|x|−1.

3.17

Similarly asV3x, we have

|V6x| ≤MRl1xn|x|l−1h1−1. 3.18

Combining3.9,3.10,3.13,3.15, and3.16–3.18, we prove Case2.

Hence we complete the proof ofTheorem 1.1.

4. Proof of

Theorem 1.3

For any2 >0, there existsR2>2 such that

{y∂H,|y|≥R2}

h y

1 y nmαβ3

y< 2. 4.1

For fixedxHand|x| ≥2R2, we write

Uα,mx, ν

G1

Pα,m

x, ydνy

G2

Pα,m

x, ydνy

G3

Pα,m

x, y

x, ydνy

G4

x, ydνy

G5

Pα,m

x, ydνy

U1x U2x U3x U4x U5x,

4.2

where

G1

y∂H: y <1, G2

y∂H: 1≤ y < |x|

2

,

G3G4

y∂H: |x| 2 ≤ y

<2|x|, G

5

y∂H: y ≥2|x|.

(12)

First note that

|U1x| ≤Mxn

| x|

2

αn−2

G1

dνy

Mxn|x|αn−2

G1

y 2−β

h y y

nmα1 h y

1 y nmαβ3ν

y

Mxn|x|m−1h1−1.

4.4

Write

U2x U21x U22x, 4.5

where

U21x

G2Bn−10,R2

Pα,m

x, ydνy,

U22x

G2−Bn−10,R2

Pα,m

x, ydνy.

4.6

We obtain byLemma 2.4i

|U2x| ≤Mxn|x|m−1

G2

1

y nmα1

y

Mxn|x|m−1

G2

y 2−β

h y

h y

1 y nmαβ3ν

y.

4.7

For|x|>2R2, by4.7we have

|U21x| ≤Mxn|x|m−1R22−βhR2

−1. 4.8

On the other hand,4.7yields that

|U22x| ≤M2xn|x|mβ1h

| x|

2

−1

. 4.9

Combining4.8and4.9, we have

lim

|x| → ∞,xHx

β

(13)

We have byLemma 2.2iii

|U3x| ≤M

G3

m−1

k0

xn|x|k

y nα2kC

nα2/2

k 1

y

Mxn|x|m m−1

k0

1 2kC

nα2/2

k 1

G3

y 1−β h y

h y y nmαβ3

y

Mεxn|x|mβ1h

| x|

2

−1

.

4.11

ByLemma 2.4ii, we obtain

|U5x| ≤Mxn|x|m

G5

1

y nmα2

y

Mxn|x|m

G5

y 1−β h y

h y

1 y nmαβ3ν

y

M2xn|x|mβ1h2|x|−1.

4.12

Note thatU4x xβn

G4kα,β,1y

, xy. By the lower semicontinuity ofk

α,β,1y, x,

we can prove the following fact in the same way asV1xin the proof ofTheorem 1.1:

lim sup

|x| → ∞,xHF

x|x|−m2β−2h|x|U4x 0, 4.13

whereFi1Fi, Fi{xF: 2i≤ |x|<2i1}, and∞i12−inαβ1Ckα,β,1Fi<∞.

Combining4.4and4.10–4.13, we complete the proof ofTheorem 1.1.

Acknowledgments

This work is supported by The National Natural Science Foundation of China under Grant 10671022 and Specialized Research Fund for the Doctoral Program of Higher Education under Grant 20060027023.

References

1 L. Grafakos,Classical and Modern Fourier Analysis, Pearson Education, Upper Saddle River, NJ, USA, 2004.

2 L. H ¨ormander,Notions of Convexity, vol. 127 ofProgress in Mathematics, Birkh¨auser, Boston, Mass, USA, 1994.

3 G. Szeg˝o,Orthogonal Polynomials, American Mathematical Society, Providence, RI, USA, 4th edition, 1975, American Mathematical Society, Colloquium Publications, Vol. XXII.

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5 M. Finkelstein and S. Scheinberg, “Kernels for solving problems of Dirichlet type in a half-plane,” Advances in Mathematics, vol. 18, no. 1, pp. 108–113, 1975.

6 B. Fuglede, “Le th´eor`eme du minimax et la th´eorie fine du potentiel,”Universit´e de Grenoble. Annales de l’Institut Fourier, vol. 15, no. 1, pp. 65–88, 1965.

7 Y. Mizuta and T. Shimomura, “Growth properties for modified Poisson integrals in a half space,” Pacific Journal of Mathematics, vol. 212, no. 2, pp. 333–346, 2003.

8 D. Siegel and E. Talvila, “Sharp growth estimates for modified Poisson integrals in a half space,” Potential Analysis, vol. 15, no. 4, pp. 333–360, 2001.

9 Y. Mizuta, “On the behavior at infinity of Green potentials in a half space,”Hiroshima Mathematical Journal, vol. 10, no. 3, pp. 607–613, 1980.

10 Y. Mizuta, “Boundary limits of Green potentials of general order,” Proceedings of the American Mathematical Society, vol. 101, no. 1, pp. 131–135, 1987.

11 Y. Mizuta, “On the boundary limits of Green potentials of functions,”Journal of the Mathematical Society of Japan, vol. 40, no. 4, pp. 583–594, 1988.

12 H. Aikawa, “On the behavior at infinity of nonnegative superharmonic functions in a half space,” Hiroshima Mathematical Journal, vol. 11, no. 2, pp. 425–441, 1981.

13 M. Ess´en and H. L. Jackson, “On the covering properties of certain exceptional sets in a half-space,” Hiroshima Mathematical Journal, vol. 10, no. 2, pp. 233–262, 1980.

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Background: We aimed to find a potential earlier diagnostic strategy for acute myocardial infarction (AMI) by investigating the epidemiology and serum metabolic characteristics of

the importance of conducting marketing research in increasing production and sales and using innovative methods (University of London, UK); the rationale for organizing the

The positive and negative deviation for this case are 1.5% and 1% which is within + 3%.The maximum values of load has been taken to check the maximum load limit of this smart

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In addition, higher mortality in patients with COPD was associated with comorbid diseases, including bacterial or viral pneu- monia, aspiration pneumonia, interstitial