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Volume 2008, Article ID 894529,8pages doi:10.1155/2008/894529

Research Article

Exact Values of Bernstein

n

-Widths for

Some Classes of Periodic Functions with Formal

Self-Adjoint Linear Differential Operators

Feng Guo

Department of Mathematics, Taizhou University, Zhejiang, Taizhou 317000, China

Correspondence should be addressed to Feng Guo,[email protected]

Received 10 December 2007; Accepted 18 June 2008

Recommended by Vijay Gupta

We consider the classes of periodic functions with formal self-adjoint linear differential operators

WpLr, which include the classical Sobolev class as its special case. With the help of the spectral of linear differential equations, we find the exact values of Bernsteinn-width of the classesWpLrin theLpfor 1< p <.

Copyrightq2008 Feng Guo. 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.

1. Introduction and main result

LetC,R,Z,N, andN be the sets of all complex numbers, real numbers, integers, nonnegative integers, and positive integers, respectively. Let T be the unit circle realized as the interval

0,2π with the points 0 and 2π identified, and as usual, letLq : Lq0,2π be the classical Lebesgue integral space of 2π-periodic real-valued functions with the usual norm·q, 1≤q

∞. Denote byWr

p the Sobolev space of functions x·onT such that ther−1st derivative

xr−1·is absolutely continuous onTandxr·Lp, r N. The corresponding Sobolev class

is the set

Wpr :Wpr :xr·p ≤1

. 1.1

Tikhomirov1introduced the notion of Bernstein width of a centrally symmetric setC

in a normed spaceX. It is defined by the following formula:

bnC, X:sup L

(2)

whereBXis the unit ball ofXand the outer supremum is taken over all subspacesLXsuch that dimLn1, n∈N.

In particular, Tikhomirov posed the problem of finding the exact value ofbnC;X, where

C Wr

p andX Lq, 1 ≤ p, q ≤ ∞. He also obtained the first results1forp q ∞ and

n2k−1. Pinkus2foundb2n−1Wpr;Lq, wherepq1. Later, Magaril-Il’yaev3obtained

the exact value ofb2n−1Wpr;Lp,for 1 < p < ∞. The latest contribution to this fields is due to

Buslaev et al.4who found the exact values ofb2n−1Wpr;Lqfor all 1< pq <∞.

Let

LrD Drar−1Dr−1· · ·a1Da0, D d

dt, 1.3

be an arbitrary linear differential operator of order r with constant real coefficients

a0, a1, . . . , ar−1. Denote by pr the characteristic polynomial of LrD. The linear differential

operatorLrDwill be called formal self-adjoint ifprt −1rprt,for eacht∈C.

We define the function classesWpLras follows:

Wp

Lr

x·:xr−1∈AC2π,LrDx·p ≤1

, 1.4

where 1≤p≤ ∞.

In this paper, we will determine the exact values of Bernsteinn-width of some classes of periodic functions with formal self-adjoint linear differential operatorsWpLr, which include

the classical Sobolev class as its special case.

We defineQpto be the nonlinear transformation

Qpf

t:ftp−1signft. 1.5

The maim result of this paper is the following.

Theorem 1.1. Assume that1< p <. LetLrDbe an arbitrary formal self-adjoint linear differential

operators given by1.3. Then, there exists a numberN ∈Nsuch that for everynN:

b2n−1

WpLr

;Lp λ2n:λ2n

p, p,Lr

, 1.6

whereλ2nis that eigenvalueλof the boundary value problem

LrDyt −1p

Qpx

t,

yt QpLrDx

t,

xj0 xj2π, yj0 yj2π, j0,1, . . . , n−1,

1.7

for which the corresponding eigenfunctionx· x2n·has only2nsimple zeros onTand is normalized

(3)

2. Proof of the theorem

First we introduce some notations and formulate auxiliary statements.

LetLrDbe an arbitrary linear differential operator1.3. Denote the 2π-periodic kernel

ofLrDby

KerLrD

x·∈CrT:LrDxt≡0

. 2.1

Letμ0≤μrbe the dimension of KerLrDand{ϕi, . . . , ϕμ}an arbitrary basis in KerLrD.

Zcfdenotes the number of zeros off in a period, counting multiplicity, andScfis

the cyclic sign change count for a piecewise continuous, 2π-periodic functionf2. Following,

x·, λis called the spectral pair of 1.7if the functionx·is normalized by the condition LrDx·p 1. The set of all spectral pairs is denoted by SPp, p,Lr. Define the spectral

classes SP2kp, p,Lras

SP2kp, p,Lr

x·, λ∈SPp, p,Lr:Sc

x·2k. 2.2

Letx2n·denotes the solution of the extremal problem as follows:

π/2n

0

|Xt|pdt−→sup,

π/2n

0

|LrDXt|pdt≤1,

xk

π

2n −1

k1π

2n

/2

0, k0,1, . . . , n−1,

2.3

and the functionx2n·is such thatx2ntx2ntπ/nfor allt∈T:

x2nt:

⎧ ⎪ ⎪ ⎨ ⎪ ⎪ ⎩

x2nt, 0≤tπ

2n,

x2n

π nt

, π

2n < tπ

n.

2.4

Let us extend periodically the functionx2ntontoR, and normalize the obtained function as

it is required in the definition of spectral pairs. From what has been done above, we get a functionx2ntbelongs to SP2np, p,Lr. Furthermore, by5, which any other function from

SP2np, p,Lrdiffers fromx2n·only in the sign and in a shift of its argument, and there exists a

numberN ∈Nsuch that for everynN, all zeros ofx2n·are simple, equidistant with a step

equal toπ/n, andScx2n ScLrDx2n 2n. We denote the set of zerossign variations

ofLrDx2non the period byQ2n τ1, . . . , τ2n. Let

Grt 1

2π

k/∈Λ eikt

prik, 2.5

(4)

The 2π-periodicG-splines are defined as elements of the linear space

SQ2n, Gr

spanϕ1t, . . . , ϕμt, Gr

tτ1

, . . . , Gr

tτ2n

. 2.6

As was proved in6, ifnN, then dimSQ2n, Gr 2n.

We assumeshiftingx·if necessarythatLrDx2n·is positive on−π, ππ/n. Let

L2n:L2nr, p, pdenote the space of functions of the form

xt

μ

j1

ajϕjt 1

π TGrtτ

2n

i1

biyiτ

dτ, 2.7

where a1, . . . , aμ, b1, . . . , b2n ∈ R,

2n

i1bi 0, yi· χi·LrDx2n· −i−1π/n, andχi·

is the characteristic function of the intervalΔi : −π i−1π/n,π iπ/n, 1 ≤ i ≤ 2n.

Obviously, dimL2n2nandL2nWpLr.

Let us now consider exact estimate of Bernsteinn-width. This was introduced in1. We reformulate the definition for a linear operatorP mappingXtoY.

Definition 2.1see2, page 149. LetPLX, Y. Then the Bernsteinn-width is defined by

bnPX, Y sup Xn1

inf

P xXn1 P x /0

P xY

xX , 2.8

whereXn1is any subspace of span{P x:xX}of dimension≥n1.

2.1. Lower estimate of Bernsteinn-width

Consider the extremal problem

x·pp

LrDx·pp

−→inf, x·∈L2n, 2.9

and denote the value of this problem byαp. Let us show thatαλ

n, this will imply the desired

lower bound forb2n−1. Letx·∈L2n, then

LrDx·pp

2n

i1 Δi

2n

i1

biyit

p

dt

2n

i1 Δi

|bi|p|LrDxnt|pdt 1

2n

2n

i1

|bi|p, 2.10

and by setting

zi·: 1

π TGr· −τyiτdτ, i1,2, . . . ,2n, 2.11

we reduce problem2.9to the form

μ

j1ajϕj·

2n

i1bizi·pp

1/2n2in1|bi|p

(5)

This is a smooth finite-dimensional problem. It has a solutiona1, . . . aμ, b1, . . . , b2n, and,

moreover, b1, . . . , b2n/0. According to the Lagrange multiplier rule, there exists a η ∈ R

such that the derivatives of the function a1, . . . , aμ, b1, . . . , b2nga1, . . . , aμ, b1, . . . , b2n

ηb1 b2 · · · b2n where g· is the function being minimized in2.12 with respect to

a1, . . . , aμ, b1, . . . , b2n at the point a1, . . . aμ, b1, . . . , b2n are equal to zero. This leads to the

relations

Tϕjt

Qpx

tdt0, j 1, . . . , μ, 2.13

Tzit

Qpx

tdt α

p

2nQpbi, i1, . . . ,2n, 2.14

wherex· μj1ajϕjt

2n

i1bizi·.

We remark that ga1, . . . , aμ, b1, . . . , b2n gda1, . . . , daμ, db1, . . . , db2n for any d /0,

and hence the vectord a1, . . . , d aμ, d b1, . . . , d b2nis also a solution of 2.12. Thus, it can be

assumed that|bi| ≤1, i1, . . . ,2n, andbi0 −1i01for somei0, 1≤i0≤2n.

Let

x2nt μ

j1

ajϕjt

2n

i1

−1i1z

it, 2.15

andx2nsatisfies1.7. Leta a1, . . . , a2nandb 1,−1, . . . ,1,−1∈R2n. It follows from the

definitions ofx2n·andx·that

LrDx2nt− LrDxt

2n

i1

i /i0

−1i1b

i

χitLrDx2n

ti−1π n

, 2.16

and henceScLrDx2n·,LrDx·has at most 2n−2 sign changes. Then, by Rolle’s theorem,

ScLrDx2n·− LrDx·≤2n−2. For anya, b∈R,signab signQpaQpb, therefore

Sc

Qpx2n

·−Qpx·

≤2n−2. 2.17

In addition, since x2n is 2π-periodic solution of the linear differential equation

LrDyt −1pQpxt, andϕjt∈KerLrD. Then, by7, page 94, we have

Tϕjt

Qpx

tdt0, j 1, . . . , μ. 2.18

If we now multiply both sides of 2.15by Qpx2nt, and integrate over the interval

Δi, 1≤i≤2n, we get

Δizit

Qpx2n

tdt −1i1

Δi|x2nt|

pdt −1i1λ

p

2n

2n. 2.19

Due toTzit

Qpx2n

tdtΔizit

Qpx2n

tdt. Therefore, we have

Tzit

Qpx2n

tdt −1i1λ

p

2n

(6)

Changing the order of integration and using2.14and2.20, we get that

ΔiLrDx2n

ti−1π n

1

π TGrtτ

Qpx2n

τQpx

τdτ

dt

Tzit

Qpx2n

tQpxt

dt 1

2n

−1i1λp

2nαpQpbi

.

2.21

Denote byf·the factor multiplyLrDx2nti−1π/nin the integral in the left-hand side

of this equality. If we assume thatλ2n> α, then we arrive at the relations

sign

ΔiLrDx2n

ti−1π n

f·dt −1i1, i1, . . . ,2n. 2.22

Suppose for definiteness thatLrDx2nti−1π/n> 0 interior toΔi, i 1, . . . ,2n.

Then it follows from 2.22 that there are points ti ∈ Δi such that signfti −1i1, i

1, . . . ,2n, that is, Scf· ≥ 2n−1. But f· is periodic, and hence Scf· ≥ 2n, therefore,

ScLrDf· ≥ 2n. Further, LrDf·

Qpx2n

tQpxt, that is, ScQpx2nt

Qpxt

≥2n.

We have arrived at a contradiction to2.17, and henceλ2nα. Thusb2n−1WpLr;Lp

λ2n.

2.2. Upper estimate of Bernsteinn-width

Assume the contrary:b2n−1WpLr;Lp> λ2n,1 < p <∞. Then, by definition, there exists a

linearly independent system of 2nfunctionsL2n :span

f1, . . . , f2n

Lp and numberγ > λ

2n

such thatL2nγSLp⊆ LrD, or equivalently,

min

x·∈L2n

x·p

LrDx·p

γ > λ2n. 2.23

Let us assign a vectorc∈R2nto each functionx·L

2nby the following rule:

x·−→c c1, . . . , c2n∈R2n, wherex·

2n

j1

cjfj·. 2.24

Then2.23acquires the form

min

c∈R2n\{0}

2n

j1cjfj·p

2n

j1cjLrDfj·p

γ > λ2n. 2.25

Letc00. Consider the sphereS2n−1in the spaceR2nwith radius 2π, that is,

S2n−1:

c:c c1, . . . , c2n∈R2n, c

2n

j1

|cj|2π

(7)

To every vectorc∈R2nwe assign functionut, cdefined by

ut, c

⎧ ⎨ ⎩

2π−1/psigncj, fort

tk−1, tk

, k 1, . . . ,2n,

0, forttk, k1, . . . ,2n−1,

2.27

wheret00, tk

k

i1|ci|, k1, . . . ,2n, and the extended 2π-periodically ontoR.

An analog of the Buslaev iteration process8is constructed in the following way: the function xt, cis found as a periodic solution of the linear differential equation LrDx0

u, then the periodic functions{xkt, c}k∈N are successively determined from the differential

equations

LrDxkt

Qpyk

t,

LrDykt −1kp1

Qpxk−1

t, 2.28

where p p/p−1, and the constants {μk : k 0, . . . ,} are uniquely determined by the

conditions

LrDxkp 1,

Qpxk

t⊥KerLrD,

Qpyk

t⊥KerLrD. 2.29

By analogy with the reasoning in8, we can prove the following assertions:

ithe iteration procedure 2.28-2.29 is well de fined, the sequences {μk}kN is

monotone nondecreasing and converge to an eigenvalueλc>0 of the problem1.7,

iithe sequence {xk·, c}k∈N has a subsequence that is convergent to an eigenfunction

x·, cof the problem1.7, withλc x·, cp,

iiifor any k ∈ N there exists a cS2n−1 such that x

k·,c has at least 2n zeros

Zcxk·,c≥2nonT,

ivin the set of spectral pairs λc, x·, c, there exists a pair λc, x·,c such that

Scx·,c 2N≥2n.

Items iand ii can be proved in the same way as 8, Sections 6 and 10. Item iii follows from the Borsuk theorem 9, which states that there exists a cS2n−1 such that

Zcxk·,c≥2n−1, but since the functionxk·,cis periodic, we actually haveZcxk·,c≥2n.

Finally, itemiv, byiiand iii, which Zcx·,c ≥ 2n. In view ofx·,czeros are simple,

therefore,Scx·,c≥2n.

Since spectral pairs of 1.7 are unique and the Kolmogorov widthd2nWpLr;Lq

λ2np, q,Lrforpq5, whennN, it follows that

λc λ2N d2N

Wp

Lr

;Lpd2n

Wp

Lr

;Lpλ2n. 2.30

Therefore, by virtue of itemsi,ii, and2.30, we obtain

min

c∈R2n\{0}

2n

j1cjfj·p

2n

j1cjLrDfj·p

2n

j1cjfj·p

2n

j1cjLrDfj·p

Lxk·,cp

rDxk·,cp

λc λ2Nλ2n,

2.31

which contradicts 2.25. Hence b2n−1WpLr;Lpλ2n. Thus, the upper bound is proved.

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Acknowledgments

Project was supported by the Natural Science Foundation of ChinaGrant no. 10671019and Scientific Research Fund of Zhejiang Provincial Education DepartmentGrant no. 20070509.

References

1 V. M. Tikhomirov, Some Questions in Approximation Theory, Izdatel’stvo Moskovskogo Universiteta, Moscow, Russia, 1976.

2 A. Pinkus,n-Widths in Approximation Theory, vol. 7 ofResults in Mathematics and Related Areas 3, Springer, Berlin, Germany, 1985.

3 G. G. Magaril-Il’yaev, “Mean dimension, widths and optimal recovery of Sobolev classes of functions on a straight line,”Mathematics of the USSR Sbornik, vol. 74, no. 2, pp. 381–403, 1993.

4 A. P. Buslaev, G. G. Magaril-Il’yaev, and N. T’en Nam, “Exact values of Bernstein widths of Sobolev classes of periodic functions,”Matematicheskie Zametki, vol. 58, no. 1, pp. 139–143, 1995Russian.

5 S. I. Novikov, “Exact values of widths for some classes of periodic functions,” East Journal on Approximations, vol. 4, no. 1, pp. 35–54, 1998.

6 N. T. T. Hoa,Optimal quadrature formulae and methods for recovery on function Classds defined by variation diminishing convolutions, Candidate’s dissertation, Moscow State University, Moscow, Russia, 1985.

7 V. A. Jakubovitch and V. I. Starzhinski, Linear Differential Equations with Periodic Coeflicients and Its Applications, Nauka, Moscow, Russia, 1972.

8 A. P. Buslaev and V. M. Tikhomirov, “Spectra of nonlinear differential equations and widths of Sobolev classes,”Mathematics of the USSR Sbornik, vol. 71, no. 2, pp. 427–446, 1992.

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