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`
Negative theorem of nearly monotone approximation
in Lp , o p 1
Sukeina Abdulla Al-Bermani
Babylon University
Science College For Women
Computer Science Department
Abstract
In [2] our direct theorem we see that , when we approximate an
increasing function
f in LU > 1,1@ , we wish sometimes that the
approximating polynomials be increasing also. However, this constraint,
restricts very much the degree of approximation, that the polynomials
can achieve, namely ; only the rate of ZM2 .
In[3] Kopotun, Leviatan and Prymak proved that relaxing the
monotonicity requirement in intervals of measure zero near the end
points allows the polynomials to achieve the rate of ZM3 .
On the other hand we show in this paper , that even when we relax
the requirement of monotinicity of the polynomials on sets of measure
approach zero, ZM4 is not reachable .
‫ﺍﻟﻣﺳﺗﺧﻠﺹ‬
0 p 1 ‫ ﻋﻧ�ﺩﻣﺎ‬L p ‫[ ﺍﻟﻧﻅﺭﻳ�ﺔ ﺍﻟﻣﺑﺎﺷ�ﺭﺓ ﻓ�ﻲ ﺍﻟﺗﻘﺭﻳ�ﺏ ﺍﻟﺭﺗﻳ�ﺏ ﻟﻠ�ﺩﻭﺍﻝ ﺍﻟﻘﻳﺎﺳ�ﻳﺔ ﻓ�ﻲ ﺍﻟﻔﺿ�ﺎء‬1]
‫ ﺑﻭﺍﺳﻁﺔ ﻣﺗﻌﺩﺩﺓ ﺣ�ﺩﻭﺩ ﺃﻳﺿ�ﺎ‬f ‫ﺗﺑﻳﻥ ﺍﻧﻪ ﻣﻥ ﺍﻟﻣﻣﻛﻥ ﺃﻥ ﻧﻘﺭﺏ ﺃﻟﺩﺍﻟﻪ ﺍﻟﻣﺗﺯﺍﻳﺩﺓ‬، ZM2 ‫ﺑﺩﻻﻟﺔ ﻣﻘﻳﺎﺱ ﺍﻟﻧﻌﻭﻣﺔ‬
‫ ﺇﻥ ﻗﻳﺩ ﺍﻟﺭﺗﺎﺑﺔ ﻓﻲ ﺍﻟﻧﺗﻳﺟﺔ ﺃﻋﻼﻩ ﺳﻳﺣﺩﺩ ﺩﺭﺟﺔ ﺍﻟﺗﻘﺭﻳﺏ ﺍﻷﻓﺿﻝ ﺑﻭﺍﺳﻁﺔ ﺍﻟﻣﺗﻌﺩﺩﺍﺕ ﺍﻟﺟﺑﺭﻳﺔ ﺑﺩﻻﻟﺔ‬.‫ﻣﺗﺯﺍﻳﺩﺓ‬
‫ﻟ�ﺫﻟﻙ‬، Z M3 ‫ ﺑﺎﻟﻣﻘﻳﺎﺱ‬f ‫ ﻟﻠﺩﺍﻟﺔ‬Z M2 ‫ ﻭﻟﺗﺄﻛﻳﺩ ﺫﻟﻙ ﺑﺭﻫﻧﺎ ﺍﻧﻪ ﻻ ﻳﻣﻛﻥ ﺍﺳﺗﺑﺩﺍﻝ ﺍﻟﻣﻘﻳﺎﺱ‬، ‫ ﻓﻘﻁ‬ZM2 ‫ﺍﻟﻣﻘﻳﺎﺱ‬
.‫ﻗﺩﻣﻧﺎ ﺍﻟﻧﻅﺭﻳﺔ ﺍﻟﻧﻘﻳﺿﺔ ﻟﻠﻧﻅﺭﻳﺔ ﺍﻟﻣﺑﺎﺷﺭﺓ‬
‫ ﺑﺭﻫﻥ ﺍﻧﻪ ﻋﻧﺩﻣﺎ ﻳﺟﻌﻝ ﻣﺗﻌﺩﺩﺓ ﺍﻟﺣﺩﻭﺩ ﺍﻟﺟﺑﺭﻳﺔ ﺍﻟﺗﻘﺭﻳﺑﻳﺔ ﺗﻛ�ﻭﻥ‬K.A. Kopotun ‫[ ﺍﻟﻌﺎﻟﻡ‬2]
‫ > ﺍﻟﺗﻲ ﺗﺣﺗﻭﻱ ﻋﻠﻰ ﺍﻟﻧﻘﺎﻁ ﺍﻟﺣﺭﺟﺔ‬1,1@ ‫ﻏﻳﺭ ﺭﺗﻳﺑﺔ ﻣﻊ ﺩﺍﻟﺔ ﺍﻟﻬﺩﻑ ﻓﻲ ﺑﻌﺽ ﺍﻟﻔﺗﺭﺍﺕ ﺍﻟﺟﺯﺋﻳﺔ ﻣﻥ ﺍﻟﻔﺗﺭﺓ‬
‫ > ﻭﺍﻟﺗ �ﻲ ﺗﻛ �ﻭﻥ ﺃﻁﻭﺍﻟﻬ �ﺎ‬1,1@ ‫ ﺑﺎﻹﺿ �ﺎﻓﺔ ﺇﻟ �ﻰ ﺍﻟﻔﺗ �ﺭﺍﺕ ﺍﻟﺟﺯﺋﻳ �ﺔ ﺍﻟﺗ �ﻲ ﺗﺣﺗ �ﻭﻱ ﻧﻬﺎﻳ �ﺎﺕ ﺍﻟﻔﺗ �ﺭﺓ‬f ‫ﻟﻠﺩﺍﻟ �ﺔ‬
. Z M3 ‫ﻣﻘﺗﺭﺑﺔ ﺇﻟﻰ ﺍﻟﺻﻔﺭ ﻳﻣﻛﻥ ﺇﻥ ﻳﺣﺻﻝ ﻋﻠﻰ ﺍﻟﺗﻘﺭﻳﺏ ﺑﺩﻻﻟﺔ ﻣﻘﻳﺎﺱ ﺍﻟﻧﻌﻭﻣﺔ‬
‫ ﺣﺗ�ﻰ ﻟ�ﻭ ﻛﺎﻧ�ﺕ ﺍﻟﻣﺗﻌ�ﺩﺩﺓ ﺍﻟﺟﺑﺭﻳ�ﺔ‬Z M4 ‫ ﺑﺎﻟﻣﻘﻳ�ﺎﺱ‬Z M3 ‫ﺑﺭﻫﻧﺎ ﺍﻧﻪ ﻻ ﻳﻣﻛﻥ ﺍﺳ�ﺗﺑﺩﺍﻝ ﻣﻘﻳ�ﺎﺱ ﺍﻟﻧﻌﻭﻣ�ﺔ‬
.‫ > ﺗﻘﺗﺭﺏ ﺃﻁﻭﺍﻟﻬﺎ ﺇﻟﻰ ﺍﻟﺻﻔﺭ‬1,1@ ‫ﻏﻳﺭ ﺭﺗﻳﺑﺔ ﻣﻊ ﺩﺍﻟﺔ ﺍﻟﻬﺩﻑ ﻓﻲ ﻣﺟﻣﻭﻋﺎﺕ ﺟﺯﺋﻳﻪ ﻣﻥ ﺍﻟﻔﺗﺭﺓ‬
1
1. Introduction and Main result
Let f LU , 0 U 1 be increasing function on I > 1,1@ in [2] we
proved that there exists an increasing polynomials such that
f Un
dC U
LU I
Z
M
2
§ 1·
¨ f, ¸ ,
© n ¹U
1.1
Where C U is an absolute constant depending on U , and ZM2 f ; o denote
the Ditzain Totik modulus of smoothness of order two of f and ZM3 is the
secand order Ditizin_Totik modulus of smoothness of f defined by
Z
§ 1·
¨ f, ¸
© n ¹P
M
2
sup
0 h dG
'
2
hI .
§ 1·
¨ f , ¸ , G t 0 ,[1]
© n¹ p
In [4] Devore proved that if f C > 1,1@ be non decreasing on I > 1,1@
there exist non decreasing polynomials such that
f Un
c( I )
§ 1·
d CZ2 ¨ f , ¸ .
© n ¹U
1.2
However , even this improvement comes to ahalt; it can not be extended
to wM4 ; and thus not to Z k for any K > 3 .
In order to state our theorem we need some notation .
Given H > 0 and a increasing function f  LU , 0 U 1 ,We denote
f U n LU I .
E n1 f , H U
inf
pn3 n ˆ '1 I
Where the infimum is taken over all polynomials U n of degree not
exceeding n satisfying
meas x : U cn x t 0 ˆ I t 2 H
Then our main result in this paper is :
Theorem I: for each sequence H ^H n`fn 1 , of non negative numbers
tending to Zero , and each 0 U 1 , there exists an increasing function
f f   LU I such that
^
Lim
n of
`
E
sup
1
n
f ;H n
U
§ 1·
Z 4 ¨© f , n ¸¹ U
M
1.3
f
2. A counter example (proof of theorem I)
In this article we have used C as an absolute constant which may
differ on different occurrences , in this paper we will have to keep track
of the constants , there fore we denote them by C1, C2 , …… ., We begin
by recalling some simple properties of the Chebyshev polynomials for
x
the interval [-2 , 2] , for v > 1 let t v x cos v cos 1 , x  > 2 ,2 @ .
2
2
Denote to the Chebyshev polynomial and let
its extrema , In fact :
tv x
t vc x
§
cos¨ v cos 1
©
2 cos
iS
, j
v
0 , .... , v , be
x·
¸
2¹
§
·
¨
¸
¨
¸
1
1
x
§
·
§
·
sin ¨ v cos 1 ¸¨ v
¸
¨
¸
2
2 ¹¨
©
§ x · © 2 ¹¸
¨ 1 ¨ ¸
¸
©2¹
©
¹
x·
§
v sin ¨ v cos 1 ¸
2¹
©
§ x·
2 1 ¨ ¸
©2¹
t vc x
Zj
2
0
x·
§
v sin ¨ v cos 1 ¸ 0
2¹
©
x·
§
sin ¨ v cos 1 ¸ 0
2¹
©
x
sin 1 0
2
x
v cos 1
jS , j 0, 1, 2 , 3 ,......
2
x jS x
jS
cos 1
,
cos
2 v 2
v
jS
Zj 2 cos
, j 0, 1, 2 ,.......
v
1
Given 0 b , we take two points on both sides of Zj , j 1,......, v 1,
2
v cos 1
namely ,we set
Z j ,l
§ jb S ·
2 cos¨
¸ and Z j ,r
v
©
¹
§ j b S ·
2 cos¨
¸,
v
©
¹
3
t v Z j ,l
tv Z j ,r
cos S b .
and
§ jS b S ·
§ jS bS ·
2 cos ¨
¸ 2 cos ¨
¸
v ¹
v ¹
© v
© v
jS
bS
4 sin
sin
v
v
Z j , r Z j ,l
Then since sin u d u , u >0 , S @ , so that
Z j ,r Z j ,l 4S
b
v
2.1
We truncate the Chebyshev polynomial by setting
*
v
t x
t
*
v ,b
x
­cos Sb
°
® cos Sb
°t x
¯v
t v x ! cos Sb
t v x cos Sb
O.W
1 cos Sb 2 sin 2
sin ce
bS
5b 2
2
2.2
For any x  I ,it follows by the monotonicity of the areas as we go away
from the origin , and the alternation in sign of these areas ,that
Zª v º
Zª v º
« » ,r
¬2¼
³t
v
« » ,r
¬2¼
*
v
u t u du d
Zª v º
³t
v
u t v* u du
Zª v º
« » ,l
¬2¼
« » ,l
¬2¼
d Z ª v º Z ª v º sup t v u t v* u
« 2 » ,r
¬ ¼
« 2 » ,l
¬ ¼
b
t v u t v* u
v
b
d 4S 1 cos Sb
v
b
4S 5b 2
v
b3
c1 ,
v
ª
º
Now sin ce >0, x @ « Z ª v º , Z ª v º »  I > 1,1@
«¬ «¬ 2 »¼ ,l «¬ 2 »¼ ,r »¼
Then
d 4S
x
³
0
Zª v º
*
t v u t v u du d
2.3
« »,r
¬2¼
³
Zª v º
b
b3
*
t v u t v u du 4S 5b 2 c1
v
v
« » ,l
¬2¼
4
2.4
Where we applied (2.1)
Now , given n t1 and 0 b ª 34 º
«bn » 2 , where >a @
¬ ¼
1
, let v
2
denotes the largest integer not exceeding a .put
t v ,b
t v cos Sb , and t v~
t v*,b cos Sb .
Finally
Tv ,b x
x
x
³ t v,b u du and f n,b x
³t
0
~
v ,b
u du , x  I
0
let x1 x 2
f n ,b x1
x1
³t
x2
v ,b
0
u du ³ t v , b u du
f n ,b x 2 .
0
Obviously f n,b is a increasing function on I and it readily by 2.4 that
f n , b Tv , b
§1 x
x
¨
t v~, b u du ³ t v , b u du
³
³
¨ 1 0
0
©
p
Now
f n ,b Tv ,b
p
·
du ¸
¸
¹
1
p
x
~
³ t v ,b u t v ,b u du
0
x
*
³ t v ,b u cos Sb t v ,b u cos Sb du
0
x
*
³ t v ,b u t v ,b u du
0
d C1
3
3
3
C 1b
b
dC1 3
ª 3º
«bn4 » 2
bn4
« »
¬ ¼
b
v
And
f n ,b Tv ,b
9
§1
¨
b4
p d ¨ ³ C1
n
¨ 1
©
9
b4
d C1
n
p
§1 ·
¨ ³ du ¸
¨
¸
© 1 ¹
·
¸
du ¸
¸
¹
1
p
1
p
1
p
9
b4
d C1 2
,
n
Then
5
C1
9
b4
n
,
f n ,b Tv ,b
1
p
1
1
9
b3
b3
b4
d C1 2 p
C1 2 p 3
p d C1 2
v
n
ª 4 º
«b n » 2
¬
¼
2.5
Where we denote by . Lp J the quas – norm taken on the interval J , and
when the norm is on J . We suppress the subscript ,
If we set
~
Z
j ,L
§§
b·
¨ ¨ j ¸S
2¹
2 cos ¨ ©
¨
v
¨
©
·
¸
¸ , and
¸
¸
¹
~
Z
j ,r
Then we have for all j for which Z j  I
~
Z
j ,r
Z j
§§
b· ·
¨ ¨ j ¸S ¸
2¹ ¸
2 cos ¨ ©
2 cos
¨
¸
v
¨
¸
©
¹
§ j S bS ·
2 cos ¨
¸ 2 cos
© v 2v ¹
§§
b· ·
¨ ¨ j ¸S ¸
2¹ ¸
2 cos ¨ ©
,
¨
¸
v
¨
¸
©
¹
jS
v
jS
v
§ j S bS bS ·
§ jS bS bS ·
¸¸ 2 cos ¨
2 cos ¨¨
¸
4v 4v ¹
© v 4v 4v ¹
© v
§§
·
§§
·
b·
b·
¨ ¨ j ¸S
¸
¨ ¨ j ¸S
¸
bS ¸
bS ¸
4¹
4¹
©
©
¨
¨
2 cos
2 cos
¨
¨
v
4v ¸
v
4v ¸
¨
¸
¨
¸
©
¹
©
¹
§§
b· ·
¨ ¨ j ¸S ¸
bS
4¹ ¸
4 sin ¨ ©
sin
¨
¸
v
4v
¨
¸
©
¹
Then since sin bS / 4 ! 3b / 4 for b satisfying
1
2
ª Sº
and sin u t u , u  «0, »
S
2
¬ 2¼
b·
j ¸S
bS
4¹
sin
4v
v
bS / 4 S / 6 if 0 b ~
Z
j ,r
Z j
§
¨
4 sin ©
§§
b·
¨ ¨ j ¸S
2
4¹
t4 ¨©
¨
v
S
¨
©
·
b·
§
¸
6¨ j ¸b
b
4¹
©
¸ 3b
!
¸ 4
v
v
¸
¹
6
2.6
And
~
Z j Z j ,l
b· ·
§§
¨ ¨ j ¸S ¸
jS
2¹ ¸
2 cos 2 cos ¨ ©
¨
¸
v
v
¨
¸
©
¹
§ jS b S b S ·
§ jS b S b S ·
2 cos ¨ ¸ 2 cos ¨ ¸
© v 4v 4v ¹
© v 4v 4v ¹
b·
b·
§§
·
§§
·
¨ ¨ j ¸S
¸
¨ ¨ j ¸S
¸
b
b
S
S
4
4
©
¹
©
¹
¸
2 cos ¨
¸ 2 cos ¨
¨
¨
v
v
4v ¸
4v ¸
¨
¸
¨
¸
©
¹
©
¹
§ j b ·S
¨
¸
bS
4¹
4 sin ©
sin
v
4v
b·
b ·
§§
6 §¨ j ·¸ b ¸
¨ ¨ j ¸S
2
4 ¹ 3b
4¹ ¸ b
©
t4 ¨©
!
¸ v
S¨
v
v
4
¨
¸
©
¹
4.2. 6 /
Let j be odd and since sin bS / 4 ! 3b / 4
For b satisfying bS / 4 S / 6 , we have
Tvc , b x
~
ª~
º
t v , b x d cos bS / 2 cos bS , x  «Z j , l , Z j , r » .
¬
¼
For example
t v,b x
§ jS b S ·
2 cos¨ ¸
v 2v ¹
§~ ·
©
1
t v x cos Sb d t v ¨ Z j , l ¸ cos Sb cos v cos
cos Sb
2
©
¹
§ jS b S ·
cos v ¨ ¸ cos Sb
© v 2v ¹
bS ·
cos§¨ jS ¸ cos Sb
2 ¹
©
bS
cos
cos Sb
2
And
cos Sb / 2 cos Sb sin bS / 4 sin 3bS / 4
7
In fact,
bS 3bS
cos Sb / 2 cos Sb cos §¨
4
© 4
bS
3bS
2 sin
sin
4
4
· cos § bS 3bS ·
¸
¨
¸
4 ¹
¹
© 4
~
3b 3b
9b 2
ª~
º
2
, x  «Z j , l , Z j , r »
4 2
4
¬
¼
Then
Tvc,b x
t v ,b x d cos bS / 2 cos bS 2 sin bS / 4 sin 3bS / 4
2
3b 3b
9b 2
4 2
4
ª~
, x  «Z
¬
~
,Z
j ,l
j ,r
º
»,
¼
2.7
Then since I  > 2,2@, it follows by the Bernstein inequality
§
·
¨
¸
¨
¸
¨
¸
cn
pn Lp> 2 ,2 @ ¸ that
¨ pcn L P[ 2 , 2 ]d
2
¨
¸
§x ·
¨
¸
1 ¨¨ ¸¸
¨
¸
2
© ¹
©
¹
C2 V 3
4
3
3
Tv,b lp>2,2@ t v,b Llp >2,2@ t v Lp>2,2@ d
t v Lp>2,2@ C3 v 3 ,
3
§ § 1 ·2 ·
¨1 ¨ ¸ ¸ 2
¨ ©2¹ ¸
©
¹
In fact
Tv 4,b
Lp> 2 , 2 @
·
d §x 3
¨ ³t
u du ¸¸
dx ¨© 0 v ,b
¹
t v3
u
L p> 2 , 2 @
Lp> 2 , 2 @ d C 2
d
t v3,b
V3
1
2
§
¨ 1§x·
¨
¸
¨
©2¹
©
C2 V 3
§
1
¨ 1 §¨ ·¸
¨
2
©
¹
©
Hence by (2.5)
C2 V
§
¨ 1 §¨ 1 ·¸
¨
©2¹
©
1
d C3 V 3 4 P
8
Lp> 2 , 2 @
2
·
¸
¸
¹
3
3
2
·
¸
¸
¹
3
tv
·
¸
¸
¹
3
tv
Lp > 2 , 2 @
Lp> 2 , 2 @
§ 2
x
¨¨ ³ cos v cos 1
2
© 2
p
·
dx ¸¸
¹
1
p
1·
§
Z 4M ¨ f n ,b , ¸
n¹
©
p
1·
§
Z 4M ¨ f n ,b Tv ,b Tv ,b , ¸ p
n¹
©
1·
1·
§
§
d Z 4M ¨ f n ,b Tv ,b , ¸ p Z 4M ¨ Tv ,b , ¸
n¹
n¹
©
©
C p
d C p f n ,b Tv ,b p 4 Tv ,4b p
n
p
9
b 4 C p v3
dC p
n
n4
§ª 3 º
·
¨ «b 4 n » 2 ¸
9
¨
¸
b4
¬
¼
¹
C p ©
C p
n
n4
§ 34 ·
¨b n¸
¨
¸
b
©
¹
dC p
C p
4
n
n
3
3
9
4
9
9
9
9
b4 n
b4
C p
C p
n
n4
3
b4
b4
C p
C p
n
n
9
b4
C ( p)
n
9
b4
,
C1 p
n
2.8
Next we need a simple lemma
Lemma (2.9) there exists a constant C4 such that
For any interval J Ž I , We have the following .
For any measurable sets E Ž I , if
Then
p nc x t 0 , x  J \ E ,
2.10
5
§ 9
·
4¸
¨
J
b
C
b
4
4
f n,b pn
(2.11)
!
¨b b E ¸.
L p( J )
n
n ¨
n ¸
©
¹
Proof : let J R denote the middle third of J . We consider two cases . First
2
we assume that J R contains at most one of the
definition of v we get
9
Z
,
j
s .Then by the
3
1
b4
J C5 C5
v
n
and
b2 J
n
2.12
3
5
b2 b 4
C5
n2
b4
C5 2
n
5
b2 J
b4
C5 2 0
n
n
Then by (2.11) we have
b2 J
5
4
b
,
2.13
n
n2
On the other hand , if J R contains at least two extremes of Z j , then it
f n ,b p n
lp J
t0!
C5
contains at least 2C 6 v J extrema , for some constant C 6 ,these extremes
satisfy 4.2.6 and 4.2.6 / and about half of them (and at least one ) have
odd indices , then together with 4.2.6 we conclude that
§
meas ¨¨ J R
©
­
9b 2 ½ · 1 2b
C6 v J
® x :Tvc,b x ¾¸ t
4 ¿ ¸¹ 2 v
¯
C6 b J ,
2.14
Now ,if C 6 b J d E , then
f n,b p n
t0!b
2
J
n
L p( J )
Other wise , C 6 b J ! E .
bE
nC6
(2.15)
,
Then by 4.2.14 there is a point xR  J R \ E , for which
Tvc,b xR 9b 2
4
Hence , 4.2.10 yields ,
9b 2
2
d Tvc,b xR p cn xR Tvc,b xR d 1
4
Jp
d
2
J
n
§1·
1 ¨ ¸
©3¹
n
§1·
1 ¨ ¸
©3¹
2
2
Where we used the Bernstein inequality
Therefore from 4.2.6
10
p n Tv ,b
p n Tv ,b
Lp J
Lp J
9b 2
d
4
2n
§1·
1 ¨ ¸
©3¹
J
2
Pn Tv ,b
2n
p n Tv ,b
2 2
J
3
Lp J
Lp J
J
2 9b 2
.
d p n Tv ,b Lp J
3n
4
2
3 2b J
d p n Tv ,b Lp J
n
4
Now
b2 J 3 2 b2 J
d
d p n Tv ,b Lp J
n
n
4
d Pn f n ,b Lp J f n ,b TV ,b
d Pn f n ,b
Lp J
b
.
n
C1 p
Then
f n ,b p n
Lp J
t
b2 J
n
C1 p
­
Taking C 4 max ®C5 ,
LP J
9
4
9
4
b
,
n
2.16
½
1
, C1 U ¾ , 2.11 now follows by combining
C6
¿
¯
2.13 , 2.15 and 2.16 ♣
We are now in a position to define f H
f , for a given sequence H
2
§
­ 2 1 ½· 5
¨ max ®H n , ¾ ¸ , and set d0 1 and
n ¿¹
¯
©
Let bn
9
bn j 4
dj
^H n `.
nj
9
bnv 4
, j t 1,
3
v 1 nv
j
d j 1
Where the sequence ^nv ` is defined by induction as follows .First ,we
choose n1 so large that
^
b
1
8
n1
1
(as needed in 2.18
12
`
below ) and J R I .
suppose that n1 , n2 , ..........., nV 1 and
JV 2 Ž JV 3 Ž .......... Ž J 0 ,V t 2 , have been defined
Then put
F
V 1
V 1
¦d
j 1
And let
Fc
V 1
x
j 1
J
f nj , bnj ,
V 1
be an interval such that
0 , x  J V 1
J
V 1
Ž J V 2 and
2.17
11
Let
N
1.V
be such that
J
And let
V 1
N
1
8
n
t b , n t N 1,V
§
¨
¨
¨
©
2 ,V
Finally ,we take
F
2
V 1 LU
d V 1
2.18
J V 1
·
¸
¸
¸
¹
10
2.19
nV ! max ^nV 1 , N1,V , N 2,V `
So big that the function f nc ,b Oscillates a few times inside the interval
( J V 1 ) and since it vanishes on some interval in each
Oscillation , that is , inside J V 1 , there exists an interval JV  JV 1 as
required in (2.17)
Now denote
V
nV
f
¦ d j 1 f nj , b nj ,
)V
j V
Where the convergence of the series is justified by the definition of the
d j 's and
f n,
x
³ t v ,bn u du
bn
0
x
d ³ t v ,bn u du
0
x
³ t v u cos Sb du
o
x
1
0
0
d 2 ³ du d 2 ³ du 2
Now
)
V l p JR
d 8d V 1
)
V
p
2.2 0
f
LU J R
¦d
j V
j 1
f nj , bnj
LU J R
f
d 2 sup ¦ d j 1 f nj , b nj
j V
In fact
f
d 2 sup ¦ d j 1 f nj , bnj
j V
§
9/4
9/4
§
bnV
¨
¨ bnV
d ¨ d V 1 ¨1 nV
nV
¨
¨
©
©
12
9/4
bnV 1
nV 1
··
¸¸
.......... ¸ ¸(2 2 )
¸¸
¹¹
f
d V 1 ¦ 2 j 2 2
j 0
8d V 1
So we define
f
fH
f
¦ d j 1 f nj , bnj
j 1
And we prove
Lemma(2.21) For each V t 1 we have
Z
M
4
§
1 ·
¨¨ f , ¸¸ d C 2 U
© nV ¹ U
d
2.22
V
Proof : First , by (2.20)
§
ZM4 ¨¨ ) V 1 ,
©
1
nV
·
¸¸ d C 3 U ) V 1 Lp J d C 3 U dV
0
¹U
At the same time , (4.2.8) yields
(2.23)
9 /4
§
bn
1 ·
¸¸ d dV 1C 4 V
Z M4 ¨¨ dV 1 f nV , b nV ,
nV ¹ U
nV
©
(2.24)
C 4 dV
Finally
Z
M
4
§
1
¨¨ FV 1 ,
nV
©
·
¸¸ d C4 U
¹U
Z
M
2
C5 U
d
F
n
2
V
F
C5 U
C5 U
C5 U
§
1
¨¨ FV 1 ,
nV
©
·
¸¸
¹U
2
V 1 LU J
0
2
V 1 LU J
0
dV 1
1
10
1
10
2 ,V
V
N n
1
10
1
10
V
V
n n
nV
1 / 1 0
§
1
¨ 2/5
¨n
© V bnV
§
1
¨ 2/5
¨n
© V bnV
§
¨
1
d C5 U ¨
¨ 1
bnV
¨
© bnV
C5 U d V
§
1
¨ 2/5
¨n
bnV
© V
· 9/ 4
¸dV
¸
¹
9/ 4
·
¸ dV
¸
¹
9/ 4
·
¸ dV
¸
¹
9/ 4
·
¸
¸ d
¸ V
¸
¹
(2.25)
By virtue of (2.19) and the definition of d nV , dV and nV .
§
ZM4 ¨¨ f ,
©
1
nV
·
§
§
§
1 ·
1 ·
1
¸¸ d ZM4 ¨¨ ) V 1 ,
¸¸ ZM4 ¨¨ dV 1 f n V , b
¸¸ ZM4 ¨¨ FV 1 ,
,
nV nV ¹
nV ¹ U
nV
¹U
©
©
U
1©3
d C 3 U dV C 4 dV C 5 U dV
·
¸¸
¹U
Now Then Lemma (2.21) follows by combining (2.23) , (2.24) and (2.25) ♣
The last Lemma that we need is
Lemma (2.26) There is an absolute constant C 7 such that whenever
E  I is a measurable set satisfying
E d H nV ,
2.27
And U n is a polynomial satisfying
V
Uc
x t 0, x  I \ E ,
nV
Then
f U nV
t
LU I \ E
b
1 / 8
nV
2.28
C7 dV ,
Proof : by (2.14) we have
f x
2.29
F
V 1
is constant on
d V 1 f nV , b nV x ) V 1 x M , x  J V 1
Let Qn
1
V
J
V 1
, we may write
2.30
U nV M
dV 1
Then it follows from (2.28)
Qcn
x t 0 , x JV 1 \E
V
Thus by virtue of Lemma (2.9)
5/4 ·
§
b n2V JV 1 C 4 ¨ § 9 / 4
· b nV ¸
¨
¸¸ b
b
E
t
Q nV f nV , bnV
V
n
¨
¸
nV
LU J V 1
nV
nV ¨ ¨©
¹ nV ¸
©
¹
The definition of n6 and (2.17)
§
bn2V
J V 1
·
J V 1 ¸
bn ¨
t bn
1/ 8 ¸
V
V
¨ bn ¸
© V ¹
17 / 8 ¨
17 / 8
On the other hand , (2.24) and the definition
5/4
Of bn imply H nV d bnV
and
V
bnV E d bnV H nV d bnV
§ 1
Since bnV t ¨¨
© nV
Then
·
¸¸
¹
9
4
2/5
14
5/4
bnV
15 / 4
9 /4
d b nV b nV
nV
Hence (2.28) implies
QnV f nV , b n
V
LU JV 1
words .
t
§ 17 / 8
9/4
1
¨ b 3 C4 bnV
nV ¨© nV
9/4
bnV § 1 / 8
·
¨¨ bnV 3 C 4 ¸¸ In other
nV ©
¹
·
¸¸
¹
9/4
UnV M dV 1 f nV , b n
V
LU J V 1
t dV 1
bnV § 1 / 8
·
¨ bnV 3C 4 ¸
nV ©
¹
§ 1 / 8
·
dV ¨ bnV 3C 4 ¸ ,
©
¹
In view of (2.30) , follows from (2.20) that
f U nV
LU I
t f U nV
§ § 1 / 8
t ¨¨ ¨¨ b nV 3C 4 8
©©
·
¸¸dV
¹
LU JV 1
t U nV M dV 1 f nV , b n
V LU J
V 1
) V 1 LU J
V 1
·
¸,
¸
¹
And Lemma (2.26) is proved with C 7 3C 4 8
The proof of (.1.3) now follows from Lemmas (2.21)and(2.26) since
f U nV
E n1V f , H nV U
E n1 f , H n U
LU
s
u
s
u
s
u
t
t
U
U
U
Lim
lim
lim
1
C 2 U dV
§
·
nof
nV o f
nV o f
M §¨ f , 1 ·¸
Z M4 ¨ f , ¸
Z
4
¨
¸
© n ¹U
© nV ¹
U
t Lim
1
nV o f C 2
U
b nV1 / 8 C 7
f
References
[1] E. S. Bhaya (2003): On constrained and unconstrained approximation.
Ph. D. Thesis. Baghdad university, College of Education , bn – AlHaitham.
[2] - E. S. Bhaya, S. A. Al-Bermani (2008): Inverse and Direct Theorem for
Monotone Approximation. Proceeding of the first regional conference for purr
and application Sciences, Al-Kufa , 175.
[3]- K. A. Kopotun, D. Leviatan, A. Prymak (2006): Nearly monotone
spline approximation in L P . Proceding of the American math. Soc.
Voo,N.O; P 1-10.
[4]- R. A. DeVore (1977): Monotone approximation by polynomials.
SIAMJ. Math. Anal., 8; 906-921.
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