A R K I V F O R M A T E M A T I K B a n d 6 n r 5
1.65043 Communicated 24 February 1965 by TRYGVE NAGELL and LE~Z~ZART CARLESO~
The Stone-Weierstrass theorem in certain Banach algebras o f Fourier type
By LARs INGE HEDBERG
1. Introduction
A subset S of a Banach algebra B is said to generate B if the smallest closed subalgebra of B which contains S is the whole of B. S is then said to be a system of generators for B. The object of this p a p e r is to find systems of gen- erators for LI(R) and a class of related algebras.
L e t U be an a r b i t r a r y compact topological space, and
C ( U ) t h e
algebra of all complex-valued continuous functions on U with the s u p r e m u m norm. Then it is easy to see t h a t the problem of finding finite systems of generators forC(U)
is equivalent to the difficult problem of uniform polynomial a p p r o x i m a t i o n on subsets of complex n-space, which is completely solved only for n = 1. See Mergeljan [10] a n d W e r m e r [15]. F o r a positive result on the n u m b e r of generators, see however Browder [4].I f the problem is limited to t h a t of finding systems of
real-valued
generators ofC(U)
it is m u c h simpler a n d completely solved b y the Stone-Weierstrass theorem (see e.g. Loomis [9], p. 9), which can be stated as follows.Theorem
A. A subset S o / C(U), which consists o[ real-valued/unctions and con- tains unity, generates C(U) i~ and only i/ it separates the points o~ U.
:Now let U be a compact manifold, differentiable of order m and
c m ( u ) t h e
algebra of all m times continuously differentiable, complex-valued functions on U, with the topology of uniform convergence of the functions together with their first m derivatives. F o r this algebra the problem of finding real-valued generators was solved b y L. Nachbin [11].Theorem
B. A subset S o~ C'~( U), which consists o/ real-valued /unctions and con- tains unity, generates C'~(U) i~ and only i / i t separates the points o/ U, and/or every point x E U and every direction a, tangent to U at x, there is an / E S such that
d/(x)/~40.
We shall consider the cases when U is the unit circle, T, or the real line, R.
T h a t R is not compact does not m a k e a n y i m p o r t a n t difference. We shall s t u d y functions,
/,
which have Fourier transforms, ], defined on the group of integers,L . I . H E D B E R G , The Stone-Weierstrass theorem
Z, or on R, respectively. F o r p ~ 0 we define function spaces, .B,(T) and B~ (R), as the sets of all integrablc functions such t h a t the n o r m s
II / IIv
=( (1-+-]r~ I t<,,#p (~ .1)
. . o o
and 11111, = I/(u) I:d*'
are finite, respectively. This p r o p e r t y is equivalent to a certain eontinuit.y prop- e r t y of / or its derivatives, a n d therefore these spaces lie, in a sense, between C a n d C =. We shall show t h a t for p > 1
B , ( T ) a n d Bp(R)are
B a n a e h algebras, and then s t u d y the problem of finding systems of real-valued generators for these algebras.If S is a p o i n t - s e p a r a t i n g subset of one of these algebras, and
Es
is the set where the first derivatives of all functions in S exist a n d equal zero, the result is, generally speaking, t h a t the size ofEs
is decisive for whether or n o t S is a system of generators. Moreover, the larger one chooses p, the smaller Es has t o be, until for p : > 3 it, m u s t be e m p t y , for S to generate the algebra. One can c o m p a r e this to T h e o r e m A where the size of E~ is u n i m p o r t a n t , a n d T h e o r e m B, where E s m u s t be e m p t y . See Theorems 3 . 4 , 7, 9, 10.I t was p r o v e d b y K a t z n e l s o n a n d R u d i n [S] t h a t the S t o n e - W e i e r s t r a s s prop- e r t y does not hold for the g r o u p algebra
LI(G)
of a locally compact, ahelian group whose dual g r o u p is n o t tolally discormee~ed. As corollaries to Theorems 3 an<t 4 we obtain more precise results on svstems of real-valued generators forLI(Z)
an<tLI(R), 02"
equivalently, for the dual algebras A(T) a u d A(R) of all functions with absolutely c o n v e r g e n t Fourier transforms. See Theorems 5 and 6.The a b o v e - m e n t i o n e d material occupies Sections 3 a n d 4. Section 2 contains preliminary material, n o t a b l y a previously unpublished uniqueness theorem of Carleson. See Theorem I. The results in this secti<m are n o t needed in the rest of the paper, but serve to characterize certain set.~ of uniqueness which will be needed.
I was introduced to the problems t r e a t e d here by Professor L e n n a r t Carlesou, and his generous advice a n d criticism h a v e been a eont.inual source of inspira- tion, a n d have led to numerous improvements. F o r all t.his, and for permission to inch'.de the unpublished result m e n t i o n e d above, I wish to express m y deep gratitude.
2. Sets o f uniqueness for 121 v (T) and B1 ~ (R)= 0 < p < 1
If a function c(x) belongs
to B, .v(T) or J22 v(R),
O ~ p < 1, it is k n o w n t h a t if c(x) is suitably modified on a set of measure zeroc(x)- -lim ~ ~0')
e~"*,
n - - - ~ t~
ARKIV FOR MATEMATIK. Bd 6 nr 5
] A
or c(x)=lim - ( d(u) e*UXdu,
A'r 2J"~ 3 - . 4
except on a set of p - c a p a c i t y zero (logarithmic capacity for p - 0 ) . This was proved for 7' by Bcurling E2], S a l e m - Z y g m u n d [14], and B r o m a n [3] ~nd the proof in [31 easily extends to R. ]n the following we assume t h a t c(x) is thus modified.
We make the following definition.
Definition 1. A set E in T or R is called a set o/ uniqueness /or B, p(T) or BI-~ (R), i/ every /unction, c(x), in B1 ~ (T) or B I - , (R), such that c(x)=0 /or all x not in E, must be identicaUy zero.
These sets of uniqueness arc characterized by the following theorem, which is due to Ahlfors and Beurling ([1], p. 124) for p : 0, and to Carleson in the general case. As Carleson's result has not been published we include its proof here.
We denote p - c a p a c i t y (capacity with respect to the kernel r v) b y Cp and logarithmic capacity b y C O . For definitions and properties of capacities we refer to F r o s t m a n [7] and Carleson [5].
Theorem I. A Borel subset E o/the unit circle T is a set o/uniqueness/or B1 p (T), 0 < p < l, i / a n d only i / C , (T - E) = Cz, (T).
A Borel .subset E o/the real line R is a set o/ uniqueness/or B1 , (R) i / a n d only i / C p ( 1 - E) = Cp ( I ) / o r every interval 1.
Proo/. We give the proof only for R and for p > 0 . The proof for T is simi- lar.
L e t E be a set such t h a t C ~ ( I - E ) = C~(I) For every I. (~re use the notation A B for A N C(B).) Choose an a r b i t r a r y int~wval I.
We can choose an increasing sequence {F~}~ of closed subsets of l - - E , such t h a t
lim C, (Fn) = C, ( I - E) = C~ (I).
7Z-~ Oo
F o r each F~ there is a positive unit measure /~,, the equilibrium measure, such t h a t the corresponding potential,
f d~,~ (t)
U~(x)= ]x -t-]~-- V.=I/C~(F,,).xeF,,,
except possibly on ~ set of p - c a p a c i t y zero (see F r o s t m a n [7], p. 56).
P u t fi~(u)--j'e i~'~d/~(x). Then, if I'arseval's formula is applied to evaluate the energy integral of fin (see Carleson [5], p. 20), we find
] l - p d u - - C o n s t .
Un(x)d#n(x)-Const.
V , < ~ . (2.l)Now let c(x) 6 B l _ p ( R ) be such t h a t
l i m c A ( X ) = l i m
-1 J(-A Ad(u) e i~du~:0, x ~ E .
A ---~ ~<~ A -..r 2d-g
L. I . H E D B E R G , The Stone-tVeierstrass theorem B y the Schwarz inequality
f\
( : du < +Lco I 1':
because of (1.2) and (2.1). Thus, for all n, b y Parseval's formula,
f;. 1; fe
1 6(u) fin (u) du
= lira~(u) ft,, (u) du =
lira ~ (x) d/t~ (x).2~r A-~co ~ - A A-,co
For each Fn we can choose a subset F~ such that limA-+0 c~ (x)= 0 uniformly on F~, and such t h a t t h e restriction, /z~, of /t~ to F n - F ~ has arbitrarily small energy integral. In fact, this integral is less than V. "/~n ( F , - F~), which can be made small by Egoroff's theorem. Using this and applying the Schwarz ine- quality again we obtain
.4--~ oo A - - ~
< ~ [~(u)fi'~(u)ldu<.Const. {Ia~(F~-F'~)}89
which can be made as small as we please. Thus
f c o ~(u)f~n(u)du=O,
all n.j - c o
If the equilibrium measure for I is ~u, and the corresponding potential
U,
we then find by (2.1) and the Schwarz inequalityI f[co au ) (f,,, (u ) - f,(u ) ) du J~ <- Const. f ( U,, (x) - U (x) ) (d~,, (x) - d~ (x) ) =
=Const.
{fU,,dg,,+ f U d g - 2 fud~,,}=Const. {C,,~F,)
C~(/)}"B u t limn_~coC v (F,) = C v (I), and thus
f /oo ~Cu) f~(u) du = o.
As /x is the equilibrium measure for an interval,
d u(x) = re(x) dx,
and
c(x)m(x)GL:,
sincem(x)EL ~.
See PSlya-Szeg6 [12], p. 23. Thus, b y Parse- val's formula80
ARKIV F6R MATEMATIK. B d 6 nr 5
(x) re(x) dx = O.
T h e same a r g u m e n t can be applied to the function
c(x)e ~zt
for everyt,
so t h a tf~r c(x) re(x) e -txt dx
= 0, all t.Hence
c(xim(x)=O
almost everywhere, and asre(x)>0
in I , c ( x ) = 0 almost everywhere in I . B u t I is arbitrary, and thusc(x)--O,
which proves the suffi- ciency.To prove the necessity we assume t h a t the set E is such t h a t for a certain interval
I, C~(I- E)< C~ (I).
Then, by the eapacitability theorem (see Choquet [6] or Carleson [5]), there is a closed subset F of E such t h a t we also have C~ ( I - - F ) < C~ (I). We let {F,}~ be an increasing sequence of closed sets, each consisting of finitely m a n y closed intervals, such t h a t I - F = U ~ F , . Again ~u, is the equilibrium measure forF,,
and Un (x) the corresponding potential. ThenU , ( x ) = V n = I / C , ( F , )
for allxEF~.
I n the same w a y as in the proof of (2.1) we findThe sequence {/tn}~ has a subsequence which converges weakly to a measure p with support in I . Then, if ~0 is an a r b i t r a r y differentiable function with support contained in I - F , we find
( d t , ! t ) =
f,#,(t)
J l ~ - t l ~ J l ~ - t l ~
f
(t) T ~ - l i mf rcf(x)dx ri- -Tvp d~.,(t)
= lim g., f ~(x)dx 1 f
Hence . . . . _1
U ( x ) = j l x _ t l" C , ( I - F )
for almost all x in
I - F ,
and because of the semicontinuity of the energy in- tegralfl
u l l - i o < oo.B u t
U(x)
is not constant on the whole ofI,
for in t h a t case, if v is the equilibrium distribution for I a n dY(x)
the corresponding potential, we would obtainL. Io H E D B E R G , The Stone-IVeierstrass theorem
. 1 ~ V(x)dp(x)= U ( x ) d ~ , ( x ) : - C ~ ( i _ F ), C, (I)
which is contrary to assumption. Thus U ( x ) 4 1 / C ~ ( I - - F ) on a set of positive measure.
Now let a(x) be a differentiable function with support in I, and let 1
c ( x ) = a ( X ) ( c p ( I - F) U(x)).
I t is easy to prove that c(x)EBl p(R) (cf. p. 85 below), and clearly c(x)=O almost everywhere outside F. But since the complement of F is open it follows that limA-~ccCA(X)=0 everywhere outside F, and hence also outside E.
If a(x) is suitably chosen c(x)~0, and we have proved Theorem I.
Remark. We note t h a t the function c(x) constructed in the second part of the proof has the additional property that (1 + ] u l 1 v)~(u) is bounded. I t is easy to prove that a similar construction can be made in the case p = 0 , and then (1 +lul)d(u) is bounded, a fact which will be of use later.
From now on we only consider functions on R, although all results and proofs hold, with only small changes, for functions on T as well.
We need a somewhat stronger uniquene~ property, which we define as follows.
Definition 2. A subset E o/ R is called a strong set o/uniqueness /or B1 p (R) i/
every /unction,, c(x), in B1 p (R), such that c(x) ~ 0 / o r almost all x not in E, must be identically zero.
If E c R we denote the characteristic function of E by )~E(x), and by E* we mean the set of all density points of E, i.e. all x ER such that
1 (x+h
lim Jz X (t)dt= 1.
Theorem 2. A subset E o/ R is a strong set o/uniqueness/or B~ _p (R), 0 < p < 1, i / and only i/ /or every in~rval I
Cp (I - E*) ~ Cp (I).
Proo/. The necessity follows from Theorem 1, and the well-known fact that for every interval I m ( 1 - E * ) = m ( I - E ) . (See Saks [13], p. 128.)
Now we let E be a set which satisfies the condition in the theorem. We denote the complement of E by F, and the complement of E* by F*, and we let c(x) e Bl ~ (R) be such that c(x) = limA-.~ c~ (x) = 0 almost everywhere on F.
By assumption, for every point x in F*
l i m s u p 1 f|~+~ ZF(t)dt>O.
h--~ 2h J z h
A R K I V FOR M A T E M A T I K . B d 6 n r 5
I f we define, for a n a r b i t r a r y p o s i t i v e i n t e g e r k, a set F ~ b y F * = x; lim sup
ZF (t) dt > ,
h--)O x h
i t is clear t h a t F * : U ~ F ~ . N o w l e t I b e a n a r b i t r a r y i n t e r v a l a n d K be a n y closed s u b s e t of I N F * for some k, a n d let /z be t h e e q u i l i b r i u m m e a s u r e cor- r e s p o n d i n g t o K . I f we c a n show t h a t
S c ( x ) d # ( x ) = 0
t h e t h e o r e m will follow in t h e s a m e w a y as T h e o r e m 1.Choose 5 > 0 . F o r e v e r y x in K we can f i n d a n u m b e r h~<(~ such t h a t
. ~ - ~ Z ~ ( t ) d t > ~ 2 h J k .
H e n c e , as K is c o m p a c t , t h e r e is a f i n i t e c o v e r i n g of K b y i n t e r v a l s , I j , such t h a tm(Ij N F ) > ~ ( 1 / k ) m l j .
I t is e a s i l y seen t h a t s u p e r f l u o u s i n t e r v a l s can be r e m o v c d so t h a t no p o i n t is c o n t a i n e d in m o r e t h a n t w o i n t e r - vals. L e t { l j } [ be t h e r e s u l t i n g covering, a n d a s s u m e t h a t t h e l e f t e n d p o i n t s o f t h e i n t e r v a l s f o r m a n i n c r e a s i n g sequence.W e n o w define a m e a s u r e v b y v = ~ j - 1 j, w h e r e t h e m e a s u r e s vj a r e defined as follows. T h e i n t e r v a l s I~, I3, 15 . . . . d o n o t i n t e r s e c t , a n d c o r r e s p o n d i n g to t h e s e we p u t
#(I~)F)[j
Z1inF
(x)dx, j
dvj (x) - m (Ij
odd.E a c h of t h e r e m a i n i n g i n t e r v a l s c a n i n t e r s e c t a t m o s t t w o i n t e r v a l s , a n d we p u t
dvj (x) /a(Ij - I j_ l - Ij~ 1)
~ - m ( I j N F ) Zzjny(x)dx, j
e v e n .I t follows f r o m t h e a s s u m p t i o n s t h a t
S c(x)d~,(x)=O.
One easily sees t h a t t h e m e a s u r e s v c o n v e r g e w e a k l y to /~ as (~ t e n d s t o zero. W e shall see t h a t t h i s i m p l i e s Sc(x) dp(x) = O.
Choose e > 0 . T h e n , if t h e n u m b e r A is chosen so l a r g e t h a t
f,
ul>At ul' Pl (u) l du <
a n d if t h e e n e r g y i n t e g r a l of a m e a s u r e /~ is d e n o t e d b y J(/~), i t follows a s before t h a t
,f 2
( c ( x ) - c A (x))dF(x)
Const. ~" J ( # ) .S i m i l a r l y
f (c(x) - cA (x))dr(x) 2<~
Const. e" J(v).Now, b e c a u s e of t h e w e a k convergence, we can choose 5 so s m a l l t h a t c , (x) dT,(x) - c . (x) (x) < ~.
L. i . H E D B E R G , The Stone-IVeierstrass theorem
Thus, if we c a n prove t h a t J(~)~< Const. J ( # ) i n d e p e n d e n t l y of t h e choice of ($, it will follow t h a t $
c(x) d#(x) = O.
L e t t h e length of t h e interval I j be lj, a n d let t h e greatest distance between a point in I j a n d a p o i n t in I~ be a w Then, clearly
On t h e other hand,
j(~) = f fdu(x) d~(y) d~i (x) du, (y) <~ ~ n dxdy
x - y l ~ "
t=1|=1
lil t Jli
Thus, it suffices to show t h a t for all i a n d j
Ix--y[p
~ C~ a~. ~"Consider two intervals, It a n d
Ij, i <. j,
a n d assume li ~ lj. T h e n either a~j < 3lj or a~j> 31~. I n t h e first casel ~ d x ~ dy 1 ~ ~ dt 2 p 6 p
- - j , , j,j - - dx ~ - - <
g, gJ Iz-yl'<'z, gJJ,, J~,,~,,,~ll (1-p)l~ (1-p)a~"
I f a~j > 31j it follows t h a t
I x - y ] >~ a~J3
forx E I~, y E Ij,
a n d we find t h a t in this casedx ix_ylP<~a~,
which proves T h e o r e m 2.Remark.
Theorems 1 a n d 2 i m p l y t h a t if a set E has the p r o p e r t y t h a t for allI C ~ ( I - E * ) = Cp (I),
t h e same holds for E. T h e converse s t a t e m e n t is n o t true, however. I n fact, let F~ be a n increasing sequence of closed sets c o n t a i n e d in a n interval I , a n d assume t h a tmF~
= 0 a n d lim~_~:rC~(Fn)= C~ (I).
S u c h sets can be constructed. L e t F = U ~ F n a n d E = I - F . T h e n C~ ( I - E) = Cp (I), b u t E* = I a n d hence C~ ( I - E*) = 0.3. Generators in
BI+~ (R),
0 < p < 1, andA(R)
As we h a v e a l r e a d y r e m a r k e d we f o r m u l a t e our results for
R,
a l t h o u g h with minor changes t h e y hold also for T. Also, those results which we f o r m u l a t e for sets of real-valued functions are easily seen to hold also f o r sets which are closed u n d e r complex conjugation.I t is well k n o w n (see e.g. Beurling [2]), a n d easy to prove b y the P a r s e v a l formula, t h a t for a f u n c t i o n / in
Bx+v (R),
O < p < 1,ARKIV F6R MATEMATIK. Bd 6 nr 5
where the constant depends only on p. Thus we can renorm the space b y putting
I t is then clear t h a t e.g. all square integrable functions which satisfy a H61der condition of order (1 + p ' ) / 2 for some p ' > p are in
Bi.p (R).
B y the Schwarz inequality we find
M?x I/(u) ldu
. +lu _O+lul'+')ll(u)l du <Const. llllb .
(3.1) B y means of this inequality it is easy to verify t h a t the norm satisfies the relation
[]f~lll+p ~'~
Const. [[1[[l+p ][~[[l+p,
and hence BI+p(R) is a Banach algebra for O < p < l .
F o r a subset S of such an algebra to generate the algebra it is clearly neces- sary t h a t the following two conditions hold.
(3.2) For every couple (x, y) with x=~y there is an / in S such that/(x) :#/(y).
(3.3) For every x there is an / in S such that/(x)=~O.
Theorem 3. Let S={/~}~ be a subset o/ B~+p (R), 0 < p < 1, satis/ying (3.2) and (3.3). For S to generate B14p(R) it is necessary that every set o[ points xE R, where /or each i limh_,o ([t(x + h ) - / l ( x ) ) / h ) = 0 uni/ormly, be a strong set o/ uniqueness ]or Bl-p (R). (See De/. 2).
Proo/. We assume t h a t there is a set E where /l'(x)--0 uniformly for every i, and t h a t E is not a strong set of uniqueness for B I - , (R). Then there is a non-zero function, c(x), in B l - p (R), such t h a t c(x)=0 for almost all x not in E.
We observe t h a t the space of bounded linear functionals on BI+~ (R) can be identified with the space of those tempered distributions, C, on R, whose Fourier transforms, r are functions which satisfy
1 + lul l + ' d u < oo
and t h e n (C, /) = O(u)~(u)du._
This is a consequence of the Schwarz inequality.
L. I . H E D B E R G ,
The Stone-~/eierstrass
theoremAs the function
c(x)
above belongs to Bl ~ (R), we havei 4lup:- du< ..lulX-Pl (u)12du <
Hence the function
iud(u)
is the Fourier transform of a bounded linear func- tional on Bl+p (R), which we denote by C 0.I f / is a polynomial in elements of S it is now easy to see t h a t ( C o , / ) = 0 . I n fact,
f ~ c . . . e,U~- 1
<Oo,/>=.~iu~(u)t(u)du:-lim J e(u)l(u)~--du,
because I e ' u a - 1 I / I h l - 21 sin 91
uhl/I
h l ~< I u I, and the first integral is absolutely convergent. B u t both ~ and t are in L 2, and thus by the Parseval formulaf~" ~ ( i 5 / ( x +
( C o , / ) = lim
2:r h) -/(X)dx,
which is equal to zero, because a p a r t from a set of measure zero
c(x)
is dif- ferent from zero only in E, where/'(x)=0
uniformly, since / depends on only finitely m a n y /~.As C0:~0 this proves t h a t S cannot generate Blqp(R).
Remark.
I t is seen from the proof t h a t it is enough to assume a b o u t E t h a t there is a sequence {h,.)~, lim~_~ h , = 0 , such t h a t for all ilim
(/~ (x ~ h~) -/~ (x))/h~ : 0
hv-~O
uniformly on E, or even
lira (1/h~) [ (/~ (x + h,) - / ~
(x))2dx = O.
hv-~0 J E
If this is compared to Theorem 4 below, it follows t h a t the size of such sets is not independent of the size of the set where
/~(x)=0
in the ordinary sense.For a given set S of functions on R we denote by Es the set of all x E R such t h a t for every / in
S /'(x)
exists and equals zero. We denote the comple- m e n t ofEs
byFs.
Theorem 4. Let S-- {/~}~ be a set o/ real-valued /unctions in
B l i p ( R ) , 0 < p < 1,satis/ying
(3.2) and (3.3).Then S generates BI-p (R) i/ E s i8 a strong set o/ uniqueness /or BI-~ (R) (see De/.
2),and i/ the moduli o/continuity, cot ((~), o/the /unctions /t satis/y wt
(5) -'' O((~(1-p)/2).Proo/.
We assume t h a t S satisfies the conditions in the theorem. I t is clearly no restriction to assume t h a tII/,117- < (3.4)
1 oo
and t h a t ~eo~(5) 2~ K~- 51' P, where lim K~ = 0. (3.5)
1 5--~0
We denote by
Bs
the closed subalgebra of BI~ p (R) generated b y S.86
ARKIV F6R MATEMATIK. B d 6 n r 5
B y the R i e m a n n - L e b e s g u e l e m m a lim . . . /~ ( x ) = 0. Thus, as x describes the e x t e n d e d line, R, for e v e r y N the N - t u p l e
FN(X)=
{/t(X)}l N describes a closed curve, FN, in N - d i m e n s i o n a l space,R N.
W e d e n o t e the Euclidean n o r m ofFN(x)
b y
]FN(X)].
I f ~(~) is a function on
R N
which is defined a n d has continuous p a r t i a l deri- v a t i v e s in a n e i g h b o u r h o o d of I~N, a n d if qg(0)= 0, we shall see t h a t the func- tionr
is inBs.
I n fact, t h e r e is a c o m p a c t neighbourhood, W, of FN where grad q~(~) is bounded, a n d hence t h e r e is a ( ~ > 0 such t h a t for e v e r y~0EFN the ball ~ - ~ 0 ~< ~} is c o n t a i n e d in W, a n d t h e n if I~l--~0I ~< ~ [ ~(~1) - ~(~0) [ ~< Max [grad q~(~) [ [ ~1 - ~0 ["
~e W ~.:
I t follows b y uniform c o n t i n u i t y t h a t there is ~n A > 0 such t h a t for [x[~>A
I (FN(x))l Igrad I,
a n d t h a t there is a n ~ > 0 such t h a t for all x a n d [t[~<
[q)(FN (x + t)) -- cf(FN
(x)) ] ~ M a x [grad ~(~)[[FN (x + t) F~
(x)[.~ e w
T h i s implies t h a t
q~(FN)EBI~p (R).
F u r t h e r m o r e , b y a version of W c i e r s t r a s s ' a p p r o x i m a t i o n t h e o r e m (see W h i t n e y [16], p. 74), there is a sequence of poly- nomials, {P~}, converging to q~ in CI(W), a n d if the a b o v e inequalities arc a p p l i e d to the functions ~P,,
it follows t h a tq~EBs.
F o r e v e r y positive integer, n, we define a set
Fs. ~,
b yFs.
~ : (x; lim sup [/, (x + h ) -/, (x)[/[ hi >1/n,
some [, E S}.h--M)
"then
Fs - [,J ~ l Fs. ~.
N o w we choose a set
Fs.
~, a c o m p a c t i n t e r v a l I , a n d a functiong ( x ) : f;~ck(t)dt,
w h e r e
k(t)=
0 fort r N Fs. ,,
[k(t)[ ~< 1, a n d,[~r162 k(t)dt---
0. I t is clear t h a t g E B1 t v (R). W e shall show t h a tg E Bs.
I n v i r t u e of the a b o v e a r g u m e n t it suffices to show t h a t for a given s > 0 , we can choose an integer N a n d c o n s t r u c t a differentiable q so t h a t
[[~ -- (])( FN) HI§ < E.
F o r e v e r y p o i n t x in I N F s . ~ there is a function /t a n d a n increasing (or decreasing) sequence, {h~}~ r such t h a t lim,_~chv=0, a n d
[/,(x+h~)-/,(x)l>~[h~l/n,
u = l , 2 . . .W e fix a n u m b e r ~ > 0. B y Vitali's covering t h e o r e m ([13], p. 109), applied to t h e set
I N Fs. n,
there is a finite sequence of non-intersecting intervals, Iv = (av, b,),= 1, 2 . . . . , q, contained in the interior of I = (a, b), with the p r o p e r t y t h a t
L. I . H E D B E R G , The Stone-IVeierstrass theorem
]/, (b,) - l, (a~)l >1 (b~- a,)/n, i = i(v), r = 1, 2 . . . . q,
q
m ( I
n F s . . - UI~) < ~ , (3.6)1
and Max, (b~ - a,) ~< (~.
We can assume b 0 = a < a~ < b, < a~ < ... <
bq < b
= aq+l.We shall now choose N in a w a y suitable for the sequel. First, N has to be greater t h a n Max1<~<q i(u). F o r every point (x, y) in R • R which is not on the diagonal,
x = y ,
there is an N such t h a t F ~ ( x ) * F N ( y ) , b y assumption, a n d because of continuity this also holds in a neighbourhood of the point (x, y). W e choose an interval, I ' = (a, b'), where b ' > b and is independent of (~. Then, b y the Heine-Borel property, for a n y , / > 0 the compact subset, V, ofR •
de- fined b y V = ( ( x , y ) ; I x - y l > ~ , x 6 I } , can be covered b y a finite n u m b e r of such neighbourhoods. I t follows t h a t there is an integer, N,, such t h a t forN>~N n
we h a v e F N ( x ) + F N ( y ) for all (x, y) in V.We shall now choose the n u m b e r ~/. ~r _~ b y (3.1) a n d (3.4), and b y assumption
SUpNIFN(x)--FN(y)I>O
for allx, y e R
withx * y .
We p u tMin sup [FN (by) - F ~ (a~)] = ~,,
l ~ v ~ q + l N
where bq+l denotes b'.
I t is easily seen t h a t we can choose m so t h a t
{ ~ + l / , ( x ) 2 } 8 9
for all x.We choose ~ > 0 so small t h a t {~[" (/~ (x) - / , (y))~}t ~< ~ / 3 6 for all (x, y) with
I x - y I<. ~,
which is possible because of uniform continuity. I t follows t h a tf o r a l l N , a s s o o n a s
Now we fix the value of N so t h a t for this choice of
N>~N,,
N>~Max i(~),l ~ v ~ q
and so t h a t Min
I FN(bv)-FN(a~) I >7~/2.
l~v~<q+l
Consider the curve IN. W e introduce the notation
.FN(a~)=~, .FN(b,)=fl,,
etc. An intervala ~ x < . b ,
corresponds to an arc A(a,,fl~) on FN, and the setsx<.a
a n dx>~b'
correspond to arcs A(0, ~) a n d A(fl', 0). Because of our choice of N we h a v eI f l , -
~ >~
( b y - a , ) / n , ~, = 1, 2 . . . q, (3.7)FN(x)+FN(y), I x - - y l > ~ , x e I ' ,
(3.8)].FN(x)-FN(y)]<~ Min 1 f l ~ - ~ l / 6 , (3.9)
l~<v~<q+l
L e t h be an increasing function in
C~(O, oo)
such t h a t= / 0, r <
h(r)
9 [ 1, r > ~ . 88
ARKIV F6R MATEMATIK. Bd 6 nr 5 F o r e v e r y
v, 1 ~ v<~ q,
we n o w define a f u n c t i o n q~ on FN as follows:0, ~EA(0, ~)
( g ( b ~ ) - g ( a ~ ) ) h ( ~ ) , ~ e A ( a , fl,)
~ ( ~ ) =
g(b~)--g(a~), ~eA(fi~,fl)
-g(a~)) (1- h {I S- fil ] ~
(g(b~)
o, ~eA(fl', 0).
(3.1o)
T h e n we define ~ b y ~ = ~ q = l ?~.
W e shall see t h a t this definition of ~ makes sense, i.e if FN intersects itself (3.10) gives only one value for q~ at t h a t point. I t is clear t h a t
~] < Minl<~<q+l (b~ - a~),
a n d hence t h e arcs A(~, a~) a n d
A(fl~, fl')
do n o t intersect. L e ta~<x<b~
a n d assume t h a t
~=FN(X )
is such t h a t ~ ( ~ ) # 0 , i.e. [ ~ - a , [ > ~ [ f l ~ - ~ l "I t follows f r o m (3.9) t h a t we m u s t h a v e
x - a ~ > ~ ,
a n d this implies t h a t for a n yy<~a~
we h a v ex - y > ~ ,
a n d t h u sFN(x)#FN(y),
b y (3,8). Similarly, if we choose a n x such t h a t ~ = FN (x) satisfies [ ~ -- a~ [ < ~ I fl~ -- a~ [, it follows t h a tb ~ - x > ~ ,
a n d thusFN(x)#FN(y)
for ally~b~.
T h e case w h e nb < x < b '
can be h a n d l e d in t h e same way, a n d it follows t h a t the definition (3.10) is consistent.I t also readily follows t h a t the definition of ~ can be e x t e n d e d consistently b y t h e same formulas to a small n e i g h b o u r h o o d of FN, a n d t h a t ~ is differentiable to all orders there. T h u s
cf(FN(x))EBs.
W e shall show t h a t l i m ~ 0 I[ g - ~(FN))]]l+p = 0. P u t ~(x) =
g(x) - cf(FN(X)).
T h e n we observe t h a t for all xI I < 38. (3.11)
I n fact, for v = l , 2, ..., q + l ,
~ ' - - I v
[ ~(a~) ] =
I g(a') --,=1 ~ (g(b~) - g(a~))l=
l~l(g(a,)=- g(b,_l))l<~ 8,
b y (3.6). F u r t h e r m o r e , if
by l<x<b~
we h a v eIg(x)-g(a~)]<<.~,
a n dIcf(FN(x))--cf(FN(a,,))[<~(~,
which proves (3.11).
As 2 ( x ) = 0 outside I ' it follows t h a t
.~Y~[2(x)]2dx-->O,
as 8-->0. I t is t h u s e n o u g h to p r o v e t h a tJ = IA(x§ a-~O.
L . I . H E D B E R G , The Stone-Weierstrass theorem
f~
We find J ~ 2
dx I~f(FN(X§ Vdt
+ 2 l a(x + t) - g(x)]~ltl-~-~dt
tl<O
Z;,
+ dx I).(x+t)-a(x)lZlt1-2 P d t = J l + J 2 + J 3.
B y (3.11)
j a ~ [ b ' d x [ 36521t]-2-Pdt<~Const. ~l-p.
d a dltl>~a
B y the definition of g
2 [ b+~ (
J 2 ~ J a-~ Jltl<O
[t]-Pdt <~ C~ 51-P
H e n c e it suffices to p r o v e t h a t lim~-,0J1 = 0, or which is the same thing, t h a t lim
I q)(FN (x)) -- q)(F~r (y))I ~ (9 - x ) - e - ' d Y
= 0. (3.12) Ifa ~ x < y < ~ b ~ ,
l ~ < v ~ < q + l , we h a v eI ~~ (x)l - ~ ( f ~ (Y))I < Const. I FN (x) - F~ (Y) I" (3.13) F o r in the ease when l~<v~<q, we find b y (3.10) and (3.7)
I qJ(FN (x)) -- q~(FN
(y))[ = ]~, (FN (x)) -- q, (FN (y))lh'(r). ] F N ~
-- F N(Y) I <~ n.
Maxh'(r).
I F N (x) -- F N (y) 1"< I g(b~) - g(a,) I 9 Max - ~ l r Similarly, for v = q + 1
] c f ( P N (x)) -
qg(P N (y))] ~ [ ~ (g(b~) - g(a~)) I _ , , Ifl-fl'l I~N~x~--FN(y) I <~ IFN(x)-F~(Y)I"
Now, if
a~<x<b~,
anda , < y < b , ,
where l ~ < v < # ~ < q + l , we find, using (3.10) and (3.13)I~(FN (z)) - ~(FN (Y))I "<< I ~v(FN (x)) -- ~(FN (b,)) I
p 1
+ ~ I~(F~ (a,))
- - ~ v ( F N(b,)) I + I~(F~ (a.))
- - ~ ( F N(y))l
i = v + l
/x-1
~< Const.
]FN (x) - FN (b~) I +
=~+l9(a,) - g(b~)l +
Const. I FN (a,) - FN (Y) I~< Const.
{ I F N ( x ) - F N ( b ~ ) I + y - x + I F N ( a ~ ) - F ~ ( y ) I } .
(3.14) 90A R K I V F611 MATEMATIK. Bd 6 nr 5
f i" ['x+~
J1 ~< Const. -e
dx Jx
I n the same w a y we find t h a t if x~<a 1 or b , ~ x ~ a , + l for some v < ~ , t h e t e r m
IF~(x)-FN(b,)]
in (3.14) should be replaced b y zero, a n d ify>~b'
orb,_~ <~y<.a~
for some /~ > v, t h e t e r m I FN (a~) - FN (y) I should be replaced b y zero.
S u b s t i t u t i n g (3.13) a n d (3.14) in (3.12) we t h u s find
q+l [*b v [*by
7,L L
§ I F~ (x) (y -
v ~ l ~ a v v
q + l f b a
/_,u }
+ ,~_~ :,I~, IFN(a')-FN(y)I2dy (y - x ) -2 ~dx
= Const.
{Jll §
J m + Jla + J14}"H e r e a n d
J l l ~ C o n s t .
(~l-v,
J12<~ | dx | ~ I/,(x+t)-/,(x)12t-2-Vdt,
J - o r J 0 | = l
which tends to zero with (~ because of (3.4). I f we a p p l y (3.5)
to J13
a n dJ14
we find respectively
q+l ~bv
g13 <
Const.K~ ~ | dx ~
Const. K~ (b' - a);v=l J a y
,11~ ~< Const. Ke ~. ~< Const.
Ko (b' - a).
These inequalities prove t h a t l i m e _ . 0 J l = 0 , a n d hence t h a t
g EBz.
W e shall n o w show t h a t this implies t h a t B z = B I + , (R). W e assume t h a t C is a b o u n d e d linear functional on BI+~ (R) which annihilates Bs, a n d we shall p r o v e t h a t C = 0 .
F r o m t h e preceding it follows t h a t for e v e r y interval ( - A , A) there is a f u n c t i o n
a(x)
in Bs such t h a t a ( x ) = 1 on ( - A , A) a n d a ( x ) = 0 outside ( - A --1, A + 1). I n fact, for e v e r y intervalI m(I - Es)
> 0, for otherwise I would be a s t r o n g set of uniqueness forBI-v(R),
which is impossible. W e can t h u s c o n s t r u c t t h e function a with a b o u n d e d derivative.We n o w define a n e w b o u n d e d linear functional, C1, b y
(Cl, g>=<C, ag >, gEBI+,(R).
Obviously, C 1 also annihilates
Bs,
a n d ifg(x)=O
outside ( - A , A) we h a v e< e l , g ) = <C, g>.
C 1 i s D~ distribution with c o m p a c t support, a n d t h u s Ci(u ) is differentiable.
Moreover, if
gEBs
a n d g ( x ) = l on ( - A - l , A + I ) , we find C a (0) = (C1, 1> = (C1, g> = 0.L. I. HEDBERG,
The Stone-Weierstrass
theoremI t follows t h a t the function ~1
(u)/iu
is continuous everywhere. Also(1
+ l uI ~-v)
- - ~< 2 ] u ]-1 p l01 (u)12du < o<),ul~>l i u ul~>l
and thus
Hence there is a function
c(x)
in BI_ p (R) whose Fourier transform is 01(u)/iu,
and one sees easily t h a te(x)
= 0 outside ( - A - 1, A + 1).Let
k(x)
be an arbitrary bounded function, such t h a tk(x)=
0 outsideF s , ,
for some n and outside a compact interval. Then choose a similar function, ]el(X), such t h a t k l ( x ) = 0 outside some Fz. n and on ( - A - 1 , A + 1) andf~cc(k(x)~-ki(x))dx=O.
I t follows from the first part of the proof t h a t g(x)=
Sx~r (k(t)+kl(t))dt
belongs toBs,
and thus(C1, g ) = O.
On the other hand, the Parseval formula yields<O.g>=f~C~(u)~(u)du=f~Ci(u)(~(u)+~(u))/iudu
- - 2:7g C ( Z ) (k(;~) + kl(X)) d z = - 27g
e(x) k(x)
d x .As n and k are arbitrary this implies t h a t
c(x)=
0 almost everywhere outsideEz.
ButEs
is a strong set of uniqueness for BI_p(R), and thusc(x)~O,
and hence also C 1 = 0. Moreover, A is arbitrary, and thus(C,
~} = 0 for every dif- ferentiable ~ with compact support. Hence C = 0, which proves TheOrem 4.Before applying these results to
A(R)
we shall generalize Theorem 4 slightly.We define a class of weight functions as follows.
Definition
3. A /unction h(x) on R is said to belong to the class W i/ it is con- tinuous, even, non-negative, increasing/or x > O,
and
f:(
1 +xh(x))-Idx < oo,
For every hE W we define a space Bh(R) as the set of functions
/(x)
on R for whichII111 = II(x)l"dx+ Ii(x+t)-l(x)l~ltl-2h(t-1)dxdt < oo.
Then Bh (R) = Bl+p (R) for
h(x) = Ix I p, 0 < p < 1.
ARKIV FOR MATEMATIK. Bd 6 n r 5
I t is easily seen t h a t
lulh(u))I1(u)l au <Const. IIII1 ,, (3.]5)
where t h e c o n s t a n t is i n d e p e n d e n t of h, a n d hence also
M2x It(x)l ~< ~ I[(u)ldu<Const. IIII1~.
I t follows as before t h a t
Ba(R)
is a B a n a c h algebra, a n d T h e o r e m 4 easily e x t e n d s to this case. I t also follows t h a tBh(R) c A ( R )
for all h in W.The b o u n d e d linear functionals on
A(R)
are those distributions on R whose Fourier t r a n s f o r m s are bounded. W e denote b yD(R)
the set of all functionsc(x)
on R such t h a t ( l + ] u l ) ~ ( u ) is bounded. T h e n we can define sets of uni- queness a n d strong sets of uniqueness forD(R)
e x a c t l y as in Definitions ! a n d 2.I f E* is defined as on p. 82, it follows f r o m the r e m a r k following the proof of T h e o r e m 1 t h a t a set E is n o t a s t r o n g set of uniqueness for
D(R)
ifC o ( I - E*)< Co(1 )
for some interval I , a n d it follows f r o m T h e o r e m 2 t h a t E is a strong set of uniquenesss forD(R)
if for some p, 0 < p < 1,C p ( I - E * ) = Cp(I),
for all intervals I .T h e o r e m 3 has the following c o u n t e r p a r t for
A(R).
Theorem 5.
Let
S = {/i}~be a subset o[ A(R) satis/ying
(3.2)and
(3.3).For S to generate A(R) it is necessary that every set o/ points x E R where /or each i
limh-,o(/i (x + h) - / t (x))/h = 0 uni/ormly, is a strong set o[ uniqueness/or D(R).
The proof is the same as t h a t of T h e o r e m 3.
I n the o t h e r direction T h e o r e m 4 gives the following corollary.
Theorem 6.
Let
S = {/i}~be a set o/real-valued /unctions in A(R) satis[ying
(3.2) and (3.3).Then S generates A(R) i] the [ollowing three conditions are saris/led:
(a)
Es is a strong set o/uniqueness/or D(R);
(b)
/or each i there is an hie W such that/iEBh~(R);
(c)
/or each i the modulus o/continuity, wt, o/]t satis/ies wl
((~)2 =o(~/ht
(1/(~)).Proo/.
We assume t h a t S satisfies the conditions stated. L e tHN (u) --
Mini<N h~ (u).T h e n
II~
is also in W, forf / ( l +uHN(u))-ldu<~ ~t- i f / ( l +uhi(u)) ldu.
I t is clearly no restriction to assume t h a t the series on t h e r i g h t is bounded. If
HIll ~ S ~ l [ ( u ) l du
it follows from the Schwarz inequality a n d (3.15) t h a t[][11 ~< Const. H/II~1~, (3.16)
where the c o n s t a n t is i n d e p e n d e n t of N.
L . L H E D B E R G , The Stone-l~Teierstrass theorem
W e can also assume t h a t
I1 I, I1 , < oo
i = 1 N
a n d t h a t ~ ~, (~)2 <~ K~. ~/H~r (1/~),
1
where K~ is i n d e p e n d e n t of N a n d lim~_~oK~ = 0. I t is n o w easy to see t h a t t h e proof of T h e o r e m 4 applies to this case a l m o s t w i t h o u t change. Thus, with the n o t a t i o n s used there, we can m a k e I I g - ~ ( F ~ ) l l , ~ arbitrarily small, a n d t h e n the t h e o r e m follows b y (3.16).
A n amusing consequence of T h e o r e m 6 is t h a t a f u n c t i o n / i n A(R) t o g e t h e r with its complex c o n j u g a t e generates A(R) if / separates points on R , / is HSlder continuous of order p for some p > ~, a n d / is nowhere differentiable.
W e give a n e x a m p l e of such a f u n c t i o n (in A(T) for simplicity).
I ~ t r(x)= ~ /.,=1 a n cos bnx + C, where b is an integer, b -1 < a < b -~, p >-~, and C is so large t h a t r(x)> 0 for all x. I t is well k n o w n t h a t r is n o w h e r e differen- tiable, a n d one can easily p r o v e t h a t r satisfies a HSlder condition of order p.
I f we p u t f(x)=r(x)e ix, f satisfies all conditions, a n d t h u s / a n d f generate A(T).
On the other hand, there are C ~ functions, /, which separate points on T a n d are never zero a l t h o u g h / a n d f do n o t generate A(T). (Cf. K a t z n e l s o n - R u d i n [8], where the existence of such functions is p r o v e d in a s o m e w h a t different way.)
L e t E be a n y closed, t o t a l l y disconnected set on T such t h a t C o (T - E) < Co(T ).
Such sets exist, for one can c o n s t r u c t T - E as the u n i o n of sufficiently small intervals containing t h e rational points. I t is easy to c o n s t r u c t a strictly mono- tonic C ~ f u n c t i o n a(x) such t h a t a'(x)= 0 for x E E, a ( 0 ) = 0, a n d a ( 2 ~ ) = 2~. T h e n if we p u t / ( x ) = e x p (ia(x)), / a n d [ do n o t generate A ( T ) b y T h e o r e m 5.
4. Generators in B~ (R), p >~ 2
W e shall first s t u d y B 3(R). I f /EB~(R), ]' exists a n d belongs to L2(R). W e can t h u s r e n o r m t h e space b y p u t t i n g
a n d it is t h e n easily seen t h a t B 2 (R) is a B a n a c h algebra.
F o r t h e sake of simplicity we o n l y s t u d y finite systems of generators.
Theorem 7. Let S = (/,}~ be a set o/ real-valued /unctions in 8 2 (R), satis/ying (3.2) a n d (3.3). A necessary and su//icient condition/or S to generate B e (R) is that the set Es, where/((x) = 0 ]or i = 1, 2 . . . N, has Lebesgue measure zero.
Proo/. The necessity is obvious. H e r e we do n o t need the h y p o t h e s i s t h a t the functions /t are real-valued, nor t h a t S is finite.
ARKIV FOR MATEMATIK. B d 6 n r 5 Suppose n o w
mEz = O.
Then, if E~ is the u n i o n ofEs
a n d the set where for some i fi(x) does n o t exist, E s is also of measure zero. Choose a ~ > O, a n d let K be a c o m p a c t set c o n t a i n e d in the c o m p l e m e n t ofE's,
such t h a t for e v e r yx e K
there is a n / ~ e S with [/~'(x)[~>~.L e t
g(x)=~_cok(t)dt,
where k is a b o u n d e d function which is zero outside K a n d has the p r o p e r t y t h a t~-ook(t)dt= O.
Clearlyg e B e (R).
W e shall show t h a tg ~Bs
(the subalgebra g e n e r a t e d b y S).As x describes the extended line, t h e N - t u p l e
F ( x ) = (/~ (x)} N
describes a closed J o r d a n curve, F, in R ~. As on p. 87 it is easy to prove b y means of the Weierstrass a p p r o x i m a t i o n t h e o r e m t h a t a n y f u n c t i o ncf(F(x)),
where ~ ( ~ ) =~(~(~) . . . ~(N)) belongs to C ~ in a lqeighbourhood of F, is in Bs. T h u s it is e n o u g h if we can find a sequence, { ~ } ~ , of C ~ functions, such t h a t as n--> c~
f
~oclg(x ) - cf~ (F(x))l ~ dx + f ~ I k(x) - ~ aq~ (F(x)) . . . . ,2. ___>W e can determine b o u n d e d functions,
y~,
such t h a tN
a n d y~ ( x ) = 0 outside K. B y Lebesgue's t h e o r e m on d o m i n a t e d convergence it suffices if we can c o n s t r u c t the functions ~n so t h a t for i = 1, ..., N
lim ~
(F(x)) y, (x)
boundedly, for a l m o s t all x.F o r each y~ there is a sequence of step functions which converges b o u n d e d l y to y~ a l m o s t everywhere, a n d t h u s it is no restriction to assume t h a t the func- tions y~ are step functions such t h a t
),~ (x) h (x) dx = O.
W e let {a,}~, a~ < av+l, be the set of all points of d i s c o n t i n u i t y of the y~, i = 1 . . . N.
Then, for all i, y ~ ( x ) = O for x < a 1 a n d X>am. W e p u t y~(x)=bi~, a , < x < a ~ + l , a n d we d e n o t e t h e p o i n t
F(a,)
on lP b y ~ = (~1) . . . ~ ) ) . W e t h e n define a f u n c t i o n g~(~)= ~0(~ ~1) .. . . . ~(N)) on I? b yN
q ~ ( ~ e ) = ~ b ~ ( ~ e ( ~ for
~ = F ~ ( x ) , a~<~x<a~+l,
v = l . . . m - l ,t = l
a n d ~0(~)=0 for ~ = F N ( x ) ,
x < a 1
orx>~am.
Since q~(~)-q~(~)=
~,b,v(~ e(')- o~)) b ~ ( / , ( x ) - / , ( a ~ ) ) = y,(t)fi(t)dt
t = l t = l t
for
a~<~x<a,+~,
it follows t h a t the c o n s t a n t s c~ can be c h o s e n so t h a t @ is continuous on F.L. I . H E D B E R G , The
Stone-Weierstrass theorem
N o w let h be a n increasing function in C~(0, ~ ) such t h a t h ( r ) =
{0,
1, r~>a ~.F o r e v e r y positive integer n such t h a t 1 / n < ~ Min~., I ~ - ~. ] we m o d i f y t h e f u n c t i o n ~ b y p u t t i n g
q~= (~) = (q~(~) - q~(~)) . h ( n l ~ - ~ I) + q~(~)
on t h e intersection of t h e a r c s (Q~,-1, G~,) a n d ( ~ , ~+~) w i t h the ball I~ - ~, I ~
I / n ,
for v = 1,..., m (we p u t ~o = 0, a~+z = 0), a n d ~v~ (~) = q(~) elsewhere on F. I t is t h e n easily seen t h a t q~(~) is extendable b y the same definition to a C ~ function defined in a n e i g h b o u r h o o d of F, a n d t h u s ~= ( F ) ~ B s .I f ~ fi ( ~ , a~+z) a n d r (~) = (~(~) - ~0(~)) 9
h(n]
~ - a~ I) + ~ ( ~ ) we find for all i~ ( , ~ = b,." h(n I ~ - ~ ]) + (q~(~) - q~(o~) ). h'(n I ~ - o~ I)" n . ] ~ _ ~ I .
H e r e h (n 1~ - a~ ) = 0 for ~ - ~ : / 2 / 3 n , a n d since I ~(~) - < Const. J ~ - ~, , we h a v e ] ~(~) - ~v(~)]"
h'(n I ~ - ~ )" n <~
Const. for all n. H e n c e 18q= (~)/~$(0 ] is u n i f o r m l y b o u n d e d as n--> ~ , a n d lim=_,ccS~(~)/8~(t)=b~,. This proves t h a t t h e f u n c t i o n9 E Bs.
Since t h e n u m b e r 6 is a r b i t r a r y , a n d
rues
= 0, it is n o w obvious t h a t e v e r y function inBz(R)
can be a p p r o x i m a t e d b y functions inBs,
i.e.Bs=B2(R),
which proves the theorem.W e n o w t u r n to t h e spaces B2+v(R), 0 < p ~ < l , a n d we r e n o r m t h e m b y p u t t i n g
H 'H22+D = f~oo "(x)[2dxJ~ f-~ f~-~ '/t'x-~-')- "(x)i2]"-i-Pdxd"
To p r o v e t h a t these spaces are B a n a c h algebras we need the following lemma.
L e m m a 1.
I / / E B 2 + v (R),
0 < p ~< 1,the modulus o/ continuity, co, o~ / satisfies
< C o n s t . -
II/11=+,
9 6 ` ' + ' ' ' = / o r 0 < p < 1,and
co(6) ~< Const.-'II/11
~ log1/6 /or p = 1.
1 f
Proo/. l(x) = ~ J_ /(u)
etZU du.Hence, for 6 > 0,
1 c~o
6 j_,, lul It(u)
fz:(~i d u + 1 It(u) ldu.
F o r all p >~ 0
flul>ll6
F o r p < 1
ARKIV F6n MATEMATIK. B d 6 nr S
~< Const.. II t11~--" a (' ~";~
Const.- II I I1~." a(" ')~,
which proves the l e m m a in this case, and for p = 1
lul-2-Pdu} t
lu[ Pdu} ~
lulll(u)lau<.alj_,~6(l+lul)lui~l/(u)12au (l-: lul) ldu
J - 1 / 6 ( d - 1 / 6
< Co.st.. ll/ll~'6 log (1
+l/a).
This proves the lemma.
Theorem 8. Be ~p (R), 0 < p ~< l,
is a Banach algebra.
Proo/.
We introduce the notationI(/)= f~_~.f~ l/(x ~O-/(x)l~lti-l-~dxdt.
Let / and g belong to
B2~z,(R).
As before Max~l/(x)l~<Const. 1]/]]0.-~, so it is enough to prove t h a t e.g.I(/'g)
~< Const. IIII1~, Ilgll~,,.F
B u t
I(l'g)<~2 II'(x)l~dx Ig(x+o-g(x)l~ltl-l-'dt
- o o - r
f\f=
+ I g(x + t)12l['(x + t) -/'(x)
[sit[-l-~dxdt,
and by L e m m a 1 we find
~< Const. Ilgll~+~
f_~oo I/'(x)12dx+
2 MaxxIg(x)12I(/')
~< Const. l]/ll~+p Ilgll~,p,I(/'g)
which proves the theorem.
I t was proved by Beurling [2] a n d B r o m a n [3] t h a t if a function / belongs to By(T), 0 < p ~ l, the Fourier series of / converges, except possibly on a set of ( 1 - p ) - c a p a c i t y zero, and the sum equals the derivative of the primitive function of /. The proof in [3] extends easily to Bp (R).
L. I, HEDBERG,
The Stone-lY/eierstrass theorem
I f
/EB2+p
(R), its derivative / ' is inB~(R),
a n d it follows t h a t/'(x)
exists a n d equals its F o u r i e r integral except on a set of ( 1 - p ) - c a p a c i t y zero.Theorem 9.
Let S =
{/~}Nbe a set of real-valued functions in B2+~ (R), 0 < p ~ 1, satisfying
(3.2) a n d (3.3).For S to generate B2+p (R) it is necessary that C~_v (Ez) = O, and if, in addition, the derivatives /[, i = 1 ... N, are continuous, this condition is also sufficient.
Proof.
If CI_ p ( E 8 ) > 0 , 0 < p < 1, there is a measure ~u with s u p p o r t c o n t a i n e d inEs
a n d with finite e n e r g y integral, i.e.f~lul
~l~(u)l~du< ~ .F o r p = 1 one finds similarly, using the kernel l o g + I / r , t h a t there is a measure /~ with
f~(
t+In I)-' [p(u)l:du
< ~ .Then, as in T h e o r e m 3, the f u n c t i o n
inf,(u)
is the F o u r i e r t r a n s f o r m of a non- zero b o u n d e d linear functional, C, on B2+v (R). I f / is a p o l y n o m i a l in elements of S, it follows, after an application of E g o r o f f ' s theorem, as in T h e o r e m 3 t h a t < C , / } = 0 , which proves t h a t S does n o t generateBe+v (R).
H e r e we h a v e neither used the reality, n o r t h e finiteness of S.N o w we assume t h a t
C1 ~ (Es)=0,
a n d t h a t fi, i = 1 ... N, are continuous.L e t g be an a r b i t r a r y C ~r f u n c t i o n with c o m p a c t support. Such functions are dense in B2+v(R) a n d it is t h u s e n o u g h to show t h a t
gEBs.
W e let I be an o p e n interval which contains t h e s u p p o r t of g, a n d for e v e r y positive integer n we denote b y Kn the subset of I where ~N-1]fi(X) I~< 1 / n . T h e n
I N E s = N~_IKn.
SinceEs
is closed, it is easy to see t h a t we can find o p e n sets On,K n c O n c I ,
such t h a tlimn_,:cCl-v(On)=C1 p ( I N E z ) = O .
(See Carleson [5], p. 22). W e can also assume t h a t O= consists of a finite n u m b e r of intervals, since Kn is compact.W e denote b y ~un t h e equilibrium distribution of On with mass Cl-p
(On),
a n d b yUn
t h e corresponding ( 1 - p ) - p o t e n t i a l . T h e n 1 -Un(x)
vanishes e v e r y w h e r e on 0n, a n d is positive outside 0n.W e can t h e n choose a C ~r function, ~n, with s u p p o r t in I - 0 ~ , so t h a t
~_oo~n (x) dx = f~_~ g'(x) Un (x) dx,
a n d define a f u n c t i o n
gn (X) = f x ~ kn (t) dt,
b y kn (x) = g'(x) (1 - un (x)) + ~n (x).
ARKIV FOR MATEMATIK. B d 6 n r 5
I t is easily seen t h a t
k~ E Bp (R),
a n d sincegn (x)= 0
outside I it follows t h a tg~eB2+~ (R).
W e shall show t h a t limn_,~ I I g - g ~ l l e + , = 0 . I t suffices to show t h a tW e first observe t h a t for a n y M > O lim~_,~
~-MUn(x)dx=O.
M I n d e e d , L lz_tl _ , < Const.which can be m a d e a r b i t r a r i l y small. I t follows t h a t we can choose ~n so t h a t l i m ~ - , ~ ] l ~ l l p = 0 , a n d t h u s it is enough to show t h a t
lim~_,:c]lg'U~llv=O.
Asf[r f V (x)dx,
i t suffices to p r o v e t h a t
lim~_,~cl(g'U~)=O.
W e choose r a n d t h e n M > 0 so large t h a t for all n Un(x)~<e for [x]>~M. W e find](9'Un)•2 ]g'(x+t)]2]Un(x+t)-Un(x)[U]t]-x--Pdxd$
+ 2
[Un(x)[~dx [9'(x+t)-g'(x)]~]t[-1-Vdt
M
~< Const. I(U~) + Const.
U~ (x) ~ dx +
2e~I(g ')M
f
~< Const. Un (x) d#~ (x) + Const.
Un (x) dx +
Const. ~2 ~< Const. (Cl-p (On) + ~*),- - M
which p r o v e s t h e assertion. H e n c e
g E Bs
ifg~ E Bs
for all n.Thus, f r o m n o w on we c a n a s s u m e t h a t g is a f u n c t i o n in
B~+v (R) such
t h a tg'
is continuous a n dg'(x)=O
outside a set I - 0 ~ .E v e r y p o i n t in t h e s u p p o r t of g' h a s a n open n e i g h b o u r h o o d where for some i I f i ( x ) l > 5 > 0 for some ~, a n d t h u s the s u p p o r t can be c o v e r e d b y a finite n u m b e r of such intervals, {~oj}~ n.
W e can m u l t i p l y g b y a n y C ~ f u n c t i o n which is c o n s t a n t on 0~, a n d still r e m a i n in t h e class considered. Hence, b y a p a r t i t i o n of u n i t y , we can reduce t h e p r o b l e m to the cases when
g(x)# 0
on o n l y one i n t e r v a l ~oj, or w h e n t h e sup- p o r t of9'
is c o n t a i n e d in t w o non-intersecting intervals, ~% a n d 0)2, say. I t is enough to consider t h e second case, a n d we a s s u m e t h a t f~ ( x ) > ~ > 0 on e%a n d f~ (x) > (~ > 0 on w2.
As before,
F(x)=
{/i (x)}l N m a p s R o n t o a closed J o r d a n c u r v e F in R N. W e shall show t h a t , g i v e n e > 0, t h e r e is a f u n c t i o n ~0 which belongs to C ~ in a n e i g h b o u r h o o d of F, such t h a t ] l g - ~(F)][2+v < e.W e s t a r t b y defining functions hi,
i = l ,
2, b yht(x)=g'(x)//;(x),
for x e w i , a n d hi (x) = 0 elsewhere. W e show t h a t hi E By (R). I n fact, [ hi (x) ] ~< C o n s t . / 8 , and, if x a n d y belong to ~oi,L . I . H E D B E R G ,
The Stone-IT/eierstrass theorem
n h, (x) - h, (Y) I < ~-~1 {Max~, II,(x) I I ~,'(x) - a'(U) I + Max~,~, I g'(U) I If(x) - l;(U),n},
a n d if x is in (9t a n d y belongs to neither (91 n o r (92
Ins (x)- h, (y) l < ~ I g'(x) I = I g'(~)- g'(y) l,
which proves t h e assertion, since either of these alternatives holds for I x - Y l sufficiently small.
I t is easy to see, e.g. b y m e a n s of convolutions with positive kernels h a v i n g c o m p a c t support, t h a t we can find c o n t i n u o u s l y differentiable functions, ~ , s u c h t h a t
a n d Max I h, ( x ) - r, (x) l < 6,
x
a n d such t h a t the s u p p o r t of ~i is c o n t a i n e d in (9i. W e can also assume t h a t
f,,, ~,~ (x) l[(x) dx = f,~, g'(x) dx.
W e denote h ~ - 7~ b y ~, a n d we shall show t h a t
llg'- ~,1;- y~l~ II~ < I[.~/; Ib
+II ~l~ll~
~ Const. s.Since
I ~ l ~ / ~ 12dx
~<~2. Max/~(x)2.mw,,j - ~ XEali
it suffices to prove t h a t I{il~fi)~<Const. e 2. W e choose M > 0 so large t h a t (9i c ( - M, M), i = 1, 2. As 2~ ( x ) = 0 outside (9~, we find t h a t
1(2,/:)< /:(x)~dx I~,(x§ l "dt
2 M oo
I tl-l-rdt +
s2I(/~ ') ~< Const. e 2.+
<~ Max /[ (x)2 " I (2i) + 4e2 " f :~ /[ (x)2 dx " f l
] x [ ~ 2 M t[> M
N o w we define a f u n c t i o n q~ on I ~ b y
~])(F(x))
= {•1 (t)/~ (t) + 72 ( )/2 (t)}dt.
oo
ARKIV FOR MATEMATIK. B d 6 n r 5 Because of the choice of 71 and Y2,
q~(F(x))=0
outside a compact interval, and thus ~(~) is continuous on F.Since [t is monotonic on co~, we can extend ~ to small neighbourhoods of the images of co 1 and c% by defining ~9 t o be constant sufficiently near to F on the hyperplanes ~(o = It (x), x E w; ~ cot, i = 1/2. Everywhere outside the intervals
mr, ~(F(x))
is constant, and hence we can extend q continuously to a neighbour- hood of F b y putting it equal to a constant in a small neighbourhood of each of the two remaining arcs of F.On the image of o~t we clearly have
a~(F(z))
a~r = y~ (x).
a n d all other derivatives are zero. Since yt (x) is continuously differentiable, and
l/fi(x)
is continuous on tot, it follows t h a t ~ has continuous second derivatives on F, and because of the w a y we extended % also in a neighbourhood of F.blow it is easy to see t h a t
IIg-w(F)ll,+,<Const.e.
Indeed, we haved~(F(x))
dx ~1 (x) /; (x) + r, (x) /~ (x).
and it follows from the construction t h a t
f [oo [g(x) -
~(F(z))[~dx <.
Const. e".and that
I g,_d <~2i(~t[i)+2i(2~212)<<eonst" e2
To complete the proof we need only observe t h a t for all C ~ functions ~0,
q~(F) E Bs,
which is easily proved as before b y the ~ Weierstrass approximation theorem (Whitney [16], p. '/4).For the sake of completeness we also treat the spaces
B~(R),
p > 3 . We put• = 2 k + q , where k is an integer and 0 ~ < q < 2 . If q = 0 we renorm the space
b y :
a n d if q > 0 we put
If