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PII. S0161171204209401 http://ijmms.hindawi.com © Hindawi Publishing Corp.

CALCULATIONS ON SOME SEQUENCE SPACES

BRUNO DE MALAFOSSE

Received 16 September 2002

We deal with space of sequences generalizing the well-known spacesw∞p(λ),c∞(λ,µ), re-placing the operatorsC(λ)and∆(µ)by their transposes. We get generalizations of results concerning the strong matrix domain of an infinite matrixA.

2000 Mathematics Subject Classification: 46A45, 40C05.

1. Notations and preliminary results. For a given infinite matrixA=(anm)n,m≥1, the operatorsAnare defined, for any integern≥1, by

An(X)=

m=1

anmxm, (1.1)

whereX=(xn)n≥1, the series intervening in the second member being convergent. So we are led to the study of the infinite linear system

An(X)=bn, n=1,2,..., (1.2)

whereB=(bn)n≥1is a one-column matrix andXthe unknown, see [1,2,3,4,5,6,7,

8,10]. Equation (1.2) can be written in the formAX=B, whereAX=(An(X))n≥1. In this paper, we will also consider Aan operator from a sequence space into another sequence space.

A Banach space E of complex sequences with the norm E is a BK space if each projectionPnX=xnis continuous for allX∈E. A BK spaceEis said to have AK, (see [12,13]), ifB=∞m=1bmem, for everyB=(bn)n≥1∈E, (withen=(0,...,1,...), 1 being in thenth position), that is,

m=N+1 bmem

E

0 (n→ ∞). (1.3)

We will writesfor the set of all complex sequences,l∞,c,c0for the sets of bounded, convergent, and null sequences, respectively. We will denote bycsandl1 the sets of convergent and absolutely convergent series, respectively.

In all that follows we will use the set

U+∗=unn≥1∈s|un>0∀n

(2)

From Wilansky’s notations [15], we define for any sequence

α=αnn≥1∈U+∗, (1.5)

and for any set of sequencesE, the set

1

α 1

∗E=xnn≥1∈s xnαn

n∈E

. (1.6)

We will writeα∗Einstead of(1/α)−1∗Efor short. So we get

α∗E=         

sα◦ ifE=c0, sα(c) ifE=c, ifE=l∞.

(1.7)

We have for instance

α∗c0=sα◦=xnn≥1∈s|xn=o

αnn → ∞. (1.8)

Each of the spacesα∗E, whereE∈ {c0,c,l∞}, is a BK space normed by

Xsα=sup

n≥1 xn αn

, (1.9)

andsα◦ has AK.

Now letα= (αn)n≥1 and β=(βn)n≥1∈U+∗. Sα,β is the set of infinite matrices A=(anm)n,m≥1such that

anmαmm≥1∈l1 ∀n≥1,

m=1

anmαm

=Oβn (n → ∞). (1.10)

Sα,βis a Banach space with the norm

ASα,β=sup

n≥1  

m=1

anmαm βn

. (1.11)

LetEandFbe any subsets ofs. WhenAmapsEintoF, we will writeA∈(E,F), see [11]. So for everyX∈E,AX∈F, (AX∈F will mean that for eachn≥1 the series defined byyn=∞m=1anmxm is convergent and(yn)n≥1∈F). It has been proved in [9] that A∈(sα,sβ)if and only ifA∈Sα,β. So we can write that(sα,sβ)=Sα,β.

Whensα=sβ, we obtain the unital Banach algebraSα,β=Sα, (see [1,2, 3,5,6,10]) normed byASα= ASα,α.

(3)

Ifα=(rn)n≥1,Γ

α,,,sα◦, andsα(c)are replaced byΓr,Sr,sr,s◦r, andsr(c), respec-tively, (see [1,2,3,5,6,10]). Whenr=1, we obtains1=l∞,s1◦=c0, ands

(c)

1 =c, and puttinge=(1,1,...), we haveS1=Se. It is well known, see [11], that

s1,s1=c0,s1=c,s1=S1. (1.12)

For any subsetEofs, we put

AE= {Y∈s| ∃X∈E, Y=AX}. (1.13)

IfF is a subset ofs, we will denote

F(A)=FA= {X∈s|Y =AX∈F}. (1.14)

We can see thatF(A)=A−1F.

2. Some properties of the operators+andΣ+. Here we will deal with the operators represented byC+(λ)and∆+(λ).

Let

U=unn≥1∈s|un≠0∀n

. (2.1)

We defineC(λ)=(cnm)n,m≥1, forλ=(λn)n≥1∈U, by

cnm=     

1

λn ifm≤n, 0 otherwise.

(2.2)

So, we putC+(λ)=C(λ)t. It can be proved that the matrix(λ)=(cnm)n,m≥ 1with

cnm =         

λn ifm=n,

−λn−1 ifm=n−1, n≥2, 0 otherwise,

(2.3)

is the inverse ofC(λ), see [12,14]. Similarly, we put∆+(λ)=(λ)t. Ifλ=e, we get the well-known operator of first difference represented by∆(e)=∆and it is usually written asΣ=C(e). Note that∆=Σ1andΣbelong to any given spaceSRwithR >1. WritingDλ=(λnδnm)n,m≥1, (whereδnm=0 fornmandδnn=1 otherwise), we have

+(λ)=+. So for any givenαU+∗, we see that if(αn−1/αn)|λn/λn−1| =O(1), then∆+(λ)(s(α/|λ|),sα). Since Ker+(λ)0, we are lead to define the set

sα∗

+(λ)=+(λ)s(α/|λ|)=X=xn

n≥1∈s(α/|λ|)|+(λ)X∈sα

(4)

It can easily be seen that

s(α/|λ|)∗

+(e)=s (α/|λ|)

+=s α

+(λ). (2.5)

2.1. Properties of the sequenceC(α)α. We will use the following sets:

C1=

 

α∈U+∗ αn1

 n

k=1 αk

=O(1) (n→ ∞)   ,

C=

 

α∈U+∗ αn1

 n

k=1 αk

 c

  ,

C1+=

 

α∈U+∗

cs 1 αn

 

k=n αk

=O(1) (n → ∞)   ,

Γ=α∈U+∗ lim n→∞

αn−1

αn <1

,

Γ+=αU+∗ lim n→∞

αn+1

αn <1

.

(2.6)

Note thatα∈Γ+if and only if 1/α∈Γ. We will see inProposition 2.1that ifα∈C1,α tends to infinity. On the other hand, we see that∆Γαimpliesα∈Γ andα∈Γ if and only if there is an integerq≥1 such that

γq(α)= sup n≥q+1

αn−1

αn <1. (2.7)

We obtain the following results in which we put[C(α)α]n=(nk=1αk)/αn.

Proposition2.1. Letα∈U+∗. Then

(i) αn−1/αn0if and only if[C(α)α]n→1, (ii) (a)α∈Cimplies that(αn−1/αn)n≥1∈c,

(b) [C(α)α]n→limplies thatαn−1/αn→11/l, (iii) ifα∈C1, there areK >0andγ >1such that

αn≥Kγn ∀n, (2.8)

(iv) the conditionα∈Γ implies thatα∈C1and there exists a realb >0such that

C(α)αn≤ 1

1−χ+bχn forn≥q+1, χ=γq(α)∈]0,1[, (2.9)

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Proof. Assume thatαn−1/αn0. Then there is an integerNsuch that

n≥N+1⇒αn−1 αn

1

2. (2.10)

So there exists a realK >0 such thatαn≥K2nfor allnand

αk αn =

αk αk+1···

αn−1 αn

1

2 n−k

forN≤k≤n−1. (2.11)

Then

1 αn

 n−1

k=1 αk

 = 1

αn  N−1

k=1 αk

 +n−1

k=N αk αn

1 K2n

 N−1

k=1 αk

 +n−1

k=N 1

2 n−k

, (2.12)

and sincen−1k=N(1/2)n−k=1−(1/2)n−N→1,(n→ ∞), we deduce that

1 αn

 n−1

k=1 αk

=O(1) (2.13)

and([C(α)α]n)∈l∞. Using the identity

C(α)αn=

α1+···+αn−1 αn−1

αn−1 αn +1=

C(α)αn−1

αn−1

αn +1, (2.14)

we get[C(α)α]n→1. This proves the necessity. Conversely, if[C(α)α]n→1, then

αn−1 αn =

C(α)αn−1

C(α)αn−1

0. (2.15)

(ii) is a direct consequence of the identity (2.14). (iii) We putΣn=

n

k=1αk. Then for a realM >1,

C(α)αn=

Σn

Σn−Σn−1≤M ∀n.

(2.16)

SoΣn≥(M/(M−1))Σn−1andΣn≥

M/(M−1)n−1α1∀n. Therefore, from

α1 αn

M

M−1 n−1

≤C(α)αn=

Σn

αn≤M, (2.17)

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(iv) Ifα∈Γ, there is an integerq≥1 for which

k≥q+1 implies αk−1

αk ≤χ <1, withχ=γq(α). (2.18)

So there is a realM>0 for which

αn≥M

χn ∀n≥q+1. (2.19)

Writingσnq=(1/αn)(qk=1αk)anddn=[C(α)α]n−σnq, we get

dn= 1 αn

  n

k=q+1 αk

 =1+

n−1

j=q+1  n−j

k=1 αn−k αn−k+1

  n

j=q+1

χn−j≤1−1

χ. (2.20)

Using (2.19), we getσnq≤(1/M)χn(q

k=1αk). So

C(α)αn≤a+bχn (2.21)

witha=1/(1−χ)andb=(1/M)(qk=1αk).

(v) Ifα∈Γ+, there areχ∈]0,1[and an integerq≥1 such that

αk αk−1≤χ

forkq. (2.22)

Then for everyn≥q, we have

1 αn

 

k=n αk

 =

k=n

αk αn 1+

k=n+1 k−n−1

i=0

αk−i αk−i−1

k=n

χk−n=O(1). (2.23)

This gives the conclusion.

Remark2.2. Note that as a direct consequence ofProposition 2.1, we haveC1!C1+=

Γ!Γ+=φ.

Remark2.3. The conditionα∈C1 does not imply thatα∈Γ, see [8].

2.2. Some new properties of the operatorsand+. In the following we will use some lemmas, the next one is well known, see [15].

Lemma2.4. The conditionA∈(c0,c0)is equivalent to

A∈S1, lim

n anm=0 for eachm≥1.

(2.24)

Lemma2.5. If+is bijective frominto itself, thenαcs.

Proof. Assume thatαcs, that is,nαn= ∞. Two cases are possible. (1)e∈Ker∆+!. Then+cannot be bijective frominto itself.

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X=(xn,0)n≥1in. Then there is a unique scalarx1such that

xn,0=x1− n−1

k=1

αk. (2.25)

So

xn

i,0

αni = αn1i

x1ni−1 k=1

αk  

→ ∞ asi→ ∞, (2.26)

andX, which is contradictory.

We conclude that each of the propertiese∈Ker∆+!ande∉Ker∆+!is impos-sible and∆+is not bijective frominto itself. This proves the lemma.

Lemma2.6. For everyX∈c0,Σ+(+X)=Xand for everyXcs,+(Σ+X)=X. Proof. It can easily be seen that

Σ++X n=

m=n

xm−xm+1=xn ∀X∈c0,

+Σ+X n=

m=n xm−

m=n+1

xm=xn ∀X∈cs.

(2.27)

We can assert the following result, in which we putα+ =(αn+1)n≥1 and sα◦∗(+)= sα(◦+)!s

α. Note that from (2.5) we have

s∗α

+(e)=s α

+=+sα. (2.28)

Theorem2.7. (i) (a)sα()=sαif and only ifα∈C1, (b) sα(◦)=sα◦ if and only ifα∈C1,

(c) sα(c)()=sα(c)if and only ifα∈C.

(ii) (a)α∈C1 if and only ifsα+(+)=and+is surjective frominto+, (b) α∈C1+if and only ifsα∗(+)=sαand+is bijective fromsαintosα,

(c) α∈C1+implies thats◦∗α (+)=s◦αand+is bijective froms◦αintosα◦. (iii) α∈C1+if and only ifsα(Σ+)=sαandsα(Σ+)=sαimpliessα(◦ Σ+)=s◦α.

Proof. (i) has been proved in [8].

(ii)(a) Sufficiency. If∆+ is surjective from into+, then for every B+ the solutions of∆+X=Binare given by

xn+1=x1− n

k=1

(8)

wherex1is arbitrary. If we takeB=α+, we getxn=x1−n

k=2αk. So

xn αn=

x1 αn−

1 αn

 n

k=2 αk

=O(1). (2.30)

Takingx1= −α1, we conclude that(n−k=11αk)/αn=O(1)andα∈C1. Conversely, assume thatα∈C1. From the inequality

αn−1 αn

1 αn

 n

k=1 αk

=O(1), (2.31)

we deduce thatαn−1/αn=O(1)and ∆+(sα,sα+). Then for any givenB+, the solutions of the equation∆+X=Bare given byx1= −uand

−xn=u+ n−1

k=1

bk forn≥2, (2.32)

whereuis an arbitrary scalar. So there exists a realK >0 such that

xn αn =

u+n−1 k=1bk

αn

|u|+Knk=2αk

αn =O(1) (2.33)

andX∈sα. We conclude that+is surjective fromintosα+. (ii)(b) Necessity. Assume thatα∈C1+. Then∆+∈(sα,sα), since

αn+1 αn

1 αn

 

k=n αk

=O(1) (n→ ∞). (2.34)

Further, fromsα⊂cs, we deduce, usingLemma 2.4, that for any givenB∈sα,

+Σ+B=B. (2.35)

On the other hand,Σ+B=(

k=nbk)n≥1∈sα, sinceα∈C1+. So∆+is surjective from into. Finally,∆+is injective because the equation

+X=O (2.36)

admits the unique solutionX=Oin, since

Ker∆+=uet|uC (2.37)

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Sufficiency. For every B ∈sα, the equation ∆+X =B admits a unique solution in . Then fromLemma 2.5,α∈csand sincesα⊂cs, we deduce fromLemma 2.6that X=Σ+Bis the unique solution of+X=B. TakingB=α, we getΣ+α, that is, α∈C1+.

(ii)(c) Ifα∈C1+,∆+is bijective fromsα◦into itself. Indeed, we haveD1/α+Dα∈(c0,c0) from (2.34) andLemma 2.4. Furthermore, sinceα∈C1+we havesα◦⊂csand for every B∈sα◦,

+Σ+B=B. (2.38)

FromLemma 2.4, we haveΣ+(sα,s α) , so the equation+X=B admits the solution X0=Σ+B ins

α and we have proved that∆+ is surjective fromsα◦ into itself. Finally, α∈C1+ implies thatetsα◦, so Ker∆+

!

s◦α= {0}and we conclude that∆+is bijective fromsα◦ into itself.

(iii) comes from (ii), sinceα∈C1+if and only if∆+is bijective frominto itself and

Σ++X=+Σ+X=X ∀Xsα. (2.39)

As a direct consequence ofTheorem 2.7we obtain the following results.

Corollary2.8. LetRbe any real>0. Then

R >1⇐⇒sR()=sR⇐⇒s◦R()=sR◦⇐⇒sR

+=sR. (2.40)

Proof. From (i) and (ii) inTheorem 2.7, we see that it is enough to prove thatα= (Rn)n≥1C1if and only ifR >1. We have(Rn)n≥1C1 if and only ifR1 and

R−n  n

k=1 Rk

 = 1

1−RR

−n+1 R

1−R=O(1) asn → ∞. (2.41)

This means thatR >1 and the corollary is proved.

Using the notationα−=(1,α1,α2,...,αn−1,...)we get the next result.

Corollary2.9. Letα∈U+∗andµ∈U. Then (i) α/|µ| ∈C1 if and only if

+(µ)=s(α/|µ|), (2.42)

(ii) α/|µ| ∈C1+if and only if

sα∗

+(µ)=s(α/|µ|). (2.43)

Proof. First we have

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Indeed,

X∈sα+(µ)⇐⇒+X⇐⇒+Xs(α/|µ|)⇐⇒Xs(α/|µ|)+. (2.45)

Now, if α/|µ| ∈ C1, from (i) in Theorem 2.7, we have s(α/|µ|)(+) = s(α/|µ|) and sα(+(µ))=s(α/|µ|). Conversely, assume sα(+(µ))=s(α/|µ|). Reasoning as above, we gets(α/|µ|)(+)=s(α/|µ|), and using (i) inTheorem 2.7we conclude thatα/|µ| ∈C1 and (i) holds.

(ii)α/|µ| ∈C1+implies that∆+is bijective froms(α/|µ|)into itself. Thus

sα∗

+(µ)=s (α/|µ|)

+=s(α/|µ|). (2.46)

This proves the necessity. Conversely, assume thatsα∗(+(µ))=s(α/|µ|). Thens(α/|µ|)(∗+) =s(α/|µ|)and fromTheorem 2.7(ii)(b),α/|µ| ∈C1+and (ii) holds.

2.3. Spaceswαp(λ)andwα+p(λ)for given realp >0. Here we will define sets gener-alizing the well-known sets

w∞(λ)p =X∈s|C(λ)|X|pl∞,

w0p(λ)=

X∈s|C(λ)|X|pc0, (2.47)

see [9,12, 13, 14, 15]. It is proved that each of the setsw0p=w0p((n)n)and w∞p = w∞((n)n)p is ap-normed FK space for 0< p <1 (i.e., a complete linear metric space for which each projectionPnis continuous) and a BK space for 1≤p <∞with respect to the norm

X =                 

sup ν≥1

1 2ν

2ν+1−1

n=2ν

xnp

if 0< p <1,

sup ν≥1

1 2ν

2ν+11

n=2ν

xnp 1/p

if 1≤p <∞.

(2.48)

The setw0phas the property AK, (i.e., everyX=(xn)n≥1∈w0phas a unique representa-tionX=∞n=1xnent) and every sequenceX=(xn)n≥1∈wphas a unique representation

X=let+

n=1

xn−letn, (2.49)

wherel∈Cis such thatX−letwp

0, (see [4]). Now, letα∈U+∗andλ∈U+∗. We have

wα(λ)p =X∈s|C(λ)|X|p,

wα+p(λ)=X∈s|C+(λ)|X|p∈sα,

wα◦p(λ)=X∈s|C(λ)|X|p∈sα◦

,

wα◦+p(λ)=

X∈s|C+(λ)|X|ps α

.

(2.50)

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Theorem2.10. (i) (a)The conditionα∈C1+is equivalent to

wα+p(λ)=s(αλ)1/p. (2.51)

(b) Ifα∈C1+, then

wα◦p(λ)=s(αλ) 1/p. (2.52)

(ii) (a)The conditionαλ∈C1 is equivalent to

wα(λ)p =s(αλ)1/p. (2.53)

(b) Ifαλ∈C1, then

wα◦+p(λ)=s(αλ) 1/p. (2.54)

Proof. Assume thatα∈C1+. SinceC+(λ)=Σ+D1/λ, we have

wα+p(λ)=X|Σ+D1/λ|X|p∈sα=X|D1/λ|X|p∈sαΣ+, (2.55)

and sinceα∈C1+impliessα(Σ+)=sα, we conclude that

wα+p(λ)=X| |X|p∈Dλsα=sαλ=s(αλ)1/p. (2.56)

Conversely, we have(αλ)1/ps(αλ)

1/p=wα+p(λ). So

C+(λ)(αλ)1/pp=  

k=n αkλk

λk  

n≥1

∈sα, (2.57)

that is,α∈C1+and we have proved (i). We obtain (i)(b) by reasoning as above. (ii) Assume thatαλ∈C1. Then

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Since∆(λ)=, we get ∆(λ)sα =sαλ. Now, from αλ∈C1 we deduce that ∆ is bijective fromsαλ into itself andwα(λ)p =s(αλ)1/p. Conversely, assume thatwα(λ)p =

s(αλ)1/p. Then(αλ)1/p∈s(αλ)1/pimplies that

C(λ)(αλ)∈sα, (2.59)

and sinceD1/αC(λ)(αλ)∈s1=l∞, we conclude thatC(αλ)(αλ)∈l∞. The proof of (ii)(b) follows the same lines as in the proof of the necessity in (ii) replacingsαλbysαλ◦ .

3. New sets of sequences of the form[A1,A2]. In this section, we will deal with the sets

A1(λ),A2(µ)=X∈s|A1(λ)A2(µ)X∈sα, (3.1)

whereA1andA2are of the formC(ξ), C+(ξ),∆(ξ), or∆+(ξ)and we give necessary conditions to get[A1(λ),A2(µ)]in the form.

Letλandµ∈U+∗. For simplification, we will write throughout this section

A1,A2=A1(λ),A2(µ)=X∈s|A1(λ)A2(µ)X∈sα (3.2)

for any matrices

A1(λ)∈(λ),+(λ),C(λ),C+(λ),

A2(µ)∈(µ),+(µ),C(µ),C+(µ). (3.3)

So we have for instance

[C,]=X∈s|C(λ)(µ)X∈sα=wα(λ)∆(µ),.... (3.4)

In all that follows, the conditionsξ∈Γ, or 1/η∈Γ for any given sequencesξandηcan be replaced by the conditionsξ∈C1 andη∈C1+.

3.1. Spaces[C,C],[C,],[,C], and[,]. For the convenience of the reader we will write the following identities, whereA1(λ)andA2(µ)are lower triangles and we will use the conventionµ0=0:

[C,C]=   X∈s

λn1

 n

m=1 µm1

 m

k=1 xk

 

=αnO(1)   ,

[C,]=  

X∈s λn1  n

k=1

µkxkµk−1xk−1=αnO(1)   ,

[,C]=   X∈s

−λn−1

µn−11

 n−1

k=1 xi

 

+λn µn1

 n

k=1 xi

 

=αnO(1)   ,

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Note that forα=eandλ=µ,[C,]is the well-known set of sequences that are strongly bounded, denoted byc∞(λ), see [9,12,13,14,15]. We get the following result.

Theorem3.1. (i)Ifαλandαλµ∈Γ, then

[C,C]=s(αλµ), (3.6)

(ii)ifαλ∈Γ, then

[C,]=s(α(λ/µ)), (3.7)

(iii)ifαandαµ/λ∈Γ, then

[,C]=s(α(µ/λ)), (3.8)

(iv)ifαandα/λ∈Γ, then

[,]=s(α(µ/λ)). (3.9)

Proof. We have for any givenX

C(λ)C(µ)X∈sα (3.10)

if and only ifC(µ)X∈sαC(λ)=s(αλ), sinceαλ∈Γ. So we get

X∈(µ)sαλ (3.11)

and the conditionαλµ∈Γ implies∆(µ)sαλ=s(αλµ), which permits us to conclude (i). (ii) Now, for any givenX, the conditionC(λ)(|(µ)X|)∈sαis equivalent to

(µ)X(λ)sα=sαλ=sαλ, (3.12)

sinceαλ∈Γ. Thus

X∈C(µ)sαλ=D1/µΣsαλ=s(α(λ/µ)). (3.13)

(iii) Similarly,∆(λ)(|C(µ)X|)∈sαif and only if C(µ)X

(λ)=C(λ)sα=D1/λΣsα=s(α/λ), (3.14)

sinceα∈Γ. So

X∈(µ)s(α/λ)=s(αµ/λ). (3.15)

We conclude sinceαµ/λ∈Γ implies that∆s(αµ/λ)=s(αµ/λ). (iv) Here,

(λ)(µ)X∈sα if and only if∆(µ)X∈C(λ)sα=s(α/λ), (3.16)

ifα∈Γ. Thus we have

X∈C(µ)s(α/λ)=s(α/λµ) (3.17)

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Remark3.2. If we define

A1,A20=

X∈s|A1(λ)A2(µ)X∈s◦α

, (3.18)

we get the same results as inTheorem 3.1, replacing in each case (i), (ii), (iii), and (iv) bysξ◦.

3.2. Sets[,+],[,C+],[C,+],[+],[+,C],[++],[C+,C],[C+,],[C+,+],

and[C+,C+]. We get immediately from the definitions of the operators∆(ξ),∆+(η), C(ξ), andC+(η), the following:

,+=X|λnµnxnµn+1xn+

1−λn−1µn−1xn−1−µnxn=αnO(1)

,

,C+=   X|λn

i=n xi µi −λn−1 i=n−1 xi µi

=αnO(1)   ,

C,+=   X λn1  n

k=1

µkxkµk+1xk+1=αnO(1)   ,

+,=X|λnµnxnµn−1xn−

1−λn+1µn+1xn+1−µnxn=αnO(1)

,

+,C=   X

λnµnn

i=1 xi

−λn+µn+11

n+1 i=1 xi

=αnO(1)   ,

+,+=X|λnµnxnµn+1xn+1−λn+1µn+1xn+1−µn+2xn+2=αnO(1),

C+,C=   X k=n  1 λk µk1 k i=1 xi

=αnO(1)   ,

C+,=   X k=n 1

λkµkxk−µk−1xk−1 =αnO(1)   ,

C+,+=   X k=n 1

λkµkxk−µk+1xk+1 =αnO(1)   ,

C+,C+=   X k=n  1 λk i=k xi µi

=αnO(1)   .

(3.19)

We can assert the following result, in which we do the conventionαn=1 forn≤0.

Theorem3.3. (i)Assume thatα∈Γ. Then

,+=s(α/λµ) if α λµ∈Γ,

,C+=s(α(µ/λ)) if λ α∈Γ.

(3.20)

(ii)The conditionsαλ∈Γ andαλ/µ∈Γ together imply

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(iii)The conditionα/λ∈Γ implies

+,=s(α

n−1/µnλn−1)n=s(1/µ(α/λ)−). (3.22)

(iv)Ifα/λandµ(α/λ)−=(µn(αn−1/λn−1))n∈Γ, then

+,C=sµ(α/λ). (3.23)

(v)Ifα/λand1/µ(α/λ)−=(αn−1/µnλn−1)nΓ, then

+,+=s((α/λ)

/µ)−=s(αn−2/λn−2µn−1)n. (3.24)

(vi)If1/αandαλµ∈Γ, then

C+,C=s(αλµ). (3.25)

(vii)If1/αandαλ∈Γ, then

C+,=s(α(λ/µ)). (3.26)

(viii)If1/αandα(λ/µ)∈Γ, then

C+,+=s(α(λ/µ)). (3.27)

(ix)If1/αand1/αλ∈Γ, then

C+,C+=s(αλµ). (3.28)

Proof. (i) First, for any givenX, the condition∆(λ)(|+(µ)X|)is equivalent to +(µ)X(λ)=s(α/λ), (3.29)

sinceα∈Γ. SoX∈sαλ(+(µ))and applyingCorollary 2.9, we conclude the first part of the proof of (i).

We have∆(λ)(|C+(µ)X|)if and only if

C+(µ)XC(λ)sα=D1/λΣsα. (3.30)

Sinceα∈Γ, we haveΣsα=sαandD1/λΣsα=s(α/λ). Then, forα/λ∈Γ+,X∈[,C+]if and only if

X∈w(α/λ)+1 (µ)=s(α(µ/λ)). (3.31)

(ii) For any givenX,C(λ)(|+(µ)X|)∈sαis equivalent to

+(µ)Xw1

α(λ), (3.32)

and sinceαλ∈Γ we havewα(λ)1 =sαλ. So

X∈sαλ+(µ)=s(α(λ/µ)) (3.33)

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(iii) Here,∆+(λ)(|(µ)X|)if and only if

(µ)X

+(λ)=s(α/λ), (3.34)

sinceα/λ∈Γ. Thus

X∈C(µ)s(α/λ)−=D1/µΣs(α/λ)−=s(αn−1n−1µn) (3.35)

if(α/λ)−∈Γ, that is,α/λ∈Γ. (iv) Ifα/λ∈Γ, we get

+(λ)C(µ)X⇐⇒C(µ)X+(λ)

=s(α/λ)−⇐⇒X(µ)s(α/λ). (3.36)

Sinceµ(α/λ)−∈Γ, we conclude that[+,C]=s(µ(α/λ) ). (v) One has

+,+=X|+(µ)X+(λ), (3.37)

and sinceα/λ∈Γ, we get

+(λ)=s(α/λ). (3.38)

We deduce that ifα/λ∈Γ,

+,+=s(α/λ)+(µ). (3.39)

Then, fromCorollary 2.9, ifα/λ∈Γ and(α/λ)−/µ=(αn−1/λn−1µn)n∈Γ,

s(α/λ)−+(µ)=s((α/λ)/µ)−=s(αn−2n−2µn−1)n. (3.40)

(vi) We have

C+(λ)C(µ)X∈sα⇐⇒C(µ)X∈wα+1(λ), (3.41)

and sinceα∈Γ+, we havew+1

α (λ)=sαλ. Then forαλµ∈Γ,X∈[C+,C]if and only if

X∈(µ)sαλ=s(αλµ). (3.42)

(vii) The conditionC+(λ)(|(µ)X|)∈sαis equivalent to

(µ)X∈wα+1(λ), (3.43)

and sinceα∈Γ+, we havew+1

α (λ)=sαλ. Thus

X∈sαλ(µ)=D1/µΣsαλ=s(α(λ/µ)), (3.44)

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(viii) First, we have

C+,+=X|+(µ)Xw+1 α (λ)

, (3.45)

and the conditionα∈Γ+implies thatw+1

α (λ)=sαλ. Thus

C+,+=X|+(µ)Xsαλ=sαλ+(µ), (3.46)

and we conclude since

sαλ+(µ)=s(αλ/µ) for αλ

µ Γ. (3.47)

(ix) Ifα∈Γ+,

C+,C+=X|C+(µ)X∈wα+1(λ)=sαλ

=wαλ+1(µ). (3.48)

We conclude thatwαλ+1(µ)=s(αλµ), sinceαλ∈Γ+.

Remark3.4. Note that inTheorem 3.3, we have[A1,A2]=sα(A1A2)=(sα(A1))A2 forA1∈ {(λ),+(λ),C(λ),C+(λ)}andA2∈ {(µ),+(µ),C(µ),C+(µ)}. For instance, we have

[,C]=   X

λn

µn− λn−1 µn−1

n−1

i=1 xi+λn

µnxn=αnO(1)  

 forαµλ Γ. (3.49)

Similarly, under the corresponding conditions given in Theorems3.1and3.3, we get

[,]=X| −λn−1µn−2xn−2+µn−1λn+λn−1xn−1−λnµnxn=αnO(1),

,C+=   X

λn

µnxn+

λn−λn−1

m=n−1 xm

µm =αnO(1)   ,

,+=X| −λn−1µn−1xn−1+µnλn+λn−1xnλnµn+1xn+1=αnO(1),

+,=X| −λnµn−1xn−1+λn+λn+1µnxnλn+1µn+1xn+1=αnO(1).

(3.50)

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[11] I. J. Maddox, Infinite Matrices of Operators, Lecture Notes in Mathematics, vol. 786, Springer-Verlag, Berlin, 1980.

[12] E. Malkowsky,The continuous duals of the spacesc0(Λ)andc(Λ)for exponentially bounded sequencesΛ, Acta Sci. Math. (Szeged)61(1995), no. 1–4, 241–250.

[13] ,Linear operators in certain BK spaces, Approximation Theory and Function Series (Budapest, 1995), Bolyai Soc. Math. Stud., vol. 5, János Bolyai Mathematical Society, Budapest, 1996, pp. 259–273.

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Bruno de Malafosse: Laboratoire de Mathématiques Appliquées du Havre (LMAH), Université du Havre, Institut Universitaire de Technologie du Havre, 76610 Le Havre, France

References

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