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CREAT. MATH. INFORM.

27(2018), No. 2, 215 - 220

Online version at http://creative-mathematics.ubm.ro/ Print Edition: ISSN 1584 - 286X Online Edition: ISSN 1843 - 441X

Asymptotically ideal invariant equivalence

U ˇGURULUSU

ABSTRACT. In this paper, the concepts of asymptotically Iσ-equivalence, σ-asymptotically equivalence,

st-rongly σ-asymptotically equivalence and stst-rongly σ-asymptotically p-equivalence for real number sequences are defined. Also, we give relationships among these new type equivalence concepts and the concept of Sσ-asymptotically equivalence which is studied in [Savas¸, E. and Patterson, R. F., σ-asymptotically lacunary

sta-tistical equivalent sequences, Cent. Eur. J. Math., 4 (2006), No. 4, 648–655]

1. INTRODUCTION AND BACKGROUND

Let σ be a mapping of the positive integers into themselves. A continuous linear functi-onal φ on `∞, the space of real bounded sequences, is said to be an invariant mean or a

σ-mean if it satisfies following conditions:

(1) φ(x) ≥ 0, when the sequence x = (xn)has xn≥ 0 for all n,

(2) φ(e) = 1, where e = (1, 1, 1, ...) and (3) φ(xσ(n)) = φ(xn)for all x ∈ `∞.

The mappings σ are assumed to be one-to-one and such that σm(n) 6= nfor all positive

integers n and m, where σm(n)denotes the m th iterate of the mapping σ at n. Thus,

φextends the limit functional on c, the space of convergent sequences, in the sense that φ(x) = lim xfor all x ∈ c.

In the case σ is translation mappings σ(n) = n + 1, the σ-mean is often called a Banach limit and the space Vσ, the set of bounded sequences all of whose invariant means are

equal, is the set of almost convergent sequences ˆc. It can be shown that

Vσ= ( x = (xn) ∈ `∞: lim m→∞ 1 m m X k=1 xσk(n)= L, uniformly in n ) .

Several authors have studied invariant convergent sequences (see, [5–9, 12–14, 16, 18]). The concept of strongly σ-convergence was defined by Mursaleen in [6] as follows: A bounded sequence x = (xk)is said to be strongly σ-convergent to L if

lim m→∞ 1 m m X k=1 |xσk(n)− L| = 0, uniformly in n. It is denoted by xk→ L[Vσ].

By [Vσ], we denote the set of all strongly σ-convergent sequences. In the case

σ(n) = n + 1, the space [Vσ]is the set of strongly almost convergent sequences [ˆc].

Received: 12.06.2017. In revised form: 13.01.2018. Accepted: 20.01.2018 2010 Mathematics Subject Classification. 34C41, 40A35.

Key words and phrases. Asymptotically equivalence, statistical convergence, I-convergence, invariant convergence.

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The concept of strongly σ-convergence was generalized by Savas¸ [13] as below: [Vσ]p= ( x = (xk) : lim m→∞ 1 m m X k=1 |xσk(n)− L|p= 0, uniformly in n ) , where 0 < p < ∞.

If p = 1, then [Vσ]p= [Vσ]. It is known that [Vσ]p⊂ `∞.

The idea of statistical convergence was introduced by Fast [1] and studied by many authors.

A sequence x = (xk)is said to be statistically convergent to L if for every ε > 0

lim n→∞ 1 n k ≤ n : |xk− L| ≥ ε = 0,

where the vertical bars indicate the number of elements in the enclosed set.

The concept of σ-statistically convergent sequence was introduced by Savas¸ and Nuray in [16] as follows:

A sequence x = (xk)is σ-statistically convergent to L if for every ε > 0

lim m→∞ 1 m k ≤ m : |xσk(n)− L| ≥ ε = 0, uniformly in n. It is denoted by Sσ− lim x = L or xk→ L(Sσ).

The idea of I-convergence was introduced by Kostyrko et al. [3] as a generalization of statistical convergence which is based on the structure of the ideal I of subset of the set of natural numbers N. Similar concepts can be seen in [2, 9].

A family of sets I ⊆ 2Nis called an ideal if and only if (i) ∅ ∈ I, (ii) For each A, B ∈ I

we have A ∪ B ∈ I, (iii) For each A ∈ I and each B ⊆ A we have B ∈ I.

An ideal is called non-trivial if N /∈ I and non-trivial ideal is called admissible if {n} ∈ I for each n ∈ N.

All ideals in this paper are assumed to be admissible.

A family of sets F ⊆ 2Nis called a filter if and only if (i) ∅ /∈ F , (ii) For each A, B ∈ F

we have A ∩ B ∈ F, (iii) For each A ∈ F and each B ⊇ A we have B ∈ F. For any ideal there is a filter F(I) corresponding with I, given by

F (I) =M ⊂ N : (∃A ∈ I)(M = N\A) .

A sequence x = (xk)is said to be I-convergent to L if for every ε > 0, the set

A(ε) =k ∈ N : |xk− L| ≥ ε ,

belongs to I. If x = (xk)is I-convergent to L, then we write I − lim x = L.

Recently, the concepts of σ-uniform density of subset A of the set N of positive integers and corresponding Iσ-convergence for real number sequences was introduced by Nuray

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Let A ⊆ N and sm= min n A ∩σ(n), σ 2(n), ..., σm(n) and Sm= maxn A ∩σ(n), σ 2(n), ..., σm(n) . If the following limits exists

V (A) = lim m→∞ sm m, V (A) = limm→∞ Sm m ,

then they are called a lower σ-uniform density and an upper σ-uniform density of the set A, respectively.

If V (A) = V (A), then V (A) = V (A) = V (A) is called the σ-uniform density of A. Denote by Iσthe class of all A ⊆ N with V (A) = 0.

Throughout the paper we take Iσas an admissible ideal in N.

A sequence x = (xk)is said to be Iσ-convergent to L if for every ε > 0, the set

Aε=k : |xk− L| ≥ ε ,

belongs to Iσ; i.e., V (Aε) = 0. It is denoted by Iσ− lim xk= L.

Marouf [4] presented definitions for asymptotically equivalent sequences and asymp-totic regular matrices. Then, the concept of asympasymp-totically equivalence has been develo-ped by many other researchers (see, [10, 11, 15, 17]).

Two nonnegative sequences x = (xk)and y = (yk)are said to be asymptotically

equi-valent if lim k xk yk = 1. It is denoted by x ∼ y.

Two nonnegative sequences x = (xk)and y = (yk)are Sσ-asymptotically equivalent of

multiple L provided that for every ε > 0 lim n 1 n  k ≤ n : xσk(m) yσk(m) − L ≥ ε  = 0, uniformly in m = 1, 2, ... , (denoted by x Sσ

∼ y) and simply Sσ-asymptotically statistical

equivalent, if L = 1.

2. ASYMPTOTICALLYIσ-EQUIVALENCE

In this section, the concepts of asymptotically Iσ-equivalence, σ-asymptotically

equiva-lence, strongly σ-asymptotically equivalence and strongly σ-asymptotically p-equivalence for real number sequences are defined. Also, we examine relationships among these new type equivalence concepts and the concept of Sσ-asymptotically equivalence which is

stu-died in this area before.

Definition 2.1. Two nonnegative sequences x = (xk)and y = (yk)are said to be

asymp-totically Iσ-equivalent of multiple L if for every ε > 0

Aε:=  k ∈ N : xk yk − L ≥ ε  ∈ Iσ;

i.e., V (Aε) = 0. In this case, we write x IL

σ

∼ y and simply asymptotically Iσ-equivalent, if

L = 1.

The set of all asymptotically Iσ-equivalent of multiple L sequences will be denoted by

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Definition 2.2. Two nonnegative sequence x = (xk)and y = (yk)are σ-asymptotically equivalent of multiple L if lim n→∞ 1 n n X k=1 xσk(m) yσk(m) = L,

uniformly in m. In this case, we write xV

L σ

∼ y and simply σ-asymptotically equivalent, if L = 1.

Theorem 2.1. Suppose that x = (xk) and y = (yk)are bounded sequences. If x and y are

asymptotically Iσ-equivalent of multiple L, then these sequences are σ-asymptotically equivalent

of multiple L.

Proof. Let m, n ∈ N be an arbitrary and ε > 0. Now, we calculate t(m, n) := 1 n n X k=1 xσk(m) yσk(m) − L . We have t(m, n) ≤ t(1)(m, n) + t(2)(m, n), where t(1)(m, n) := 1 n n X k=1 x σk (m) y σk (m) −L ≥ε xσk(m) yσk(m) − L and t (2)(m, n) := 1 n n X k=1 x σk (m) y σk (m) −L <ε xσk(m) yσk(m) − L .

We get t(2)(m, n) < ε, for every m = 1, 2, ... . The boundedness of x = (x

k)and y = (yk)

implies that there exists a M > 0 such that xσk(m) yσk(m) − L ≤ M, for k = 1, 2, ...; m = 1, 2, ... . Then, this implies that

t(1)(m, n) ≤ M n  1 ≤ k ≤ n : xσk(m) yσk(m) − L ≥ ε  ≤ M max m n 1 ≤ k ≤ n : xσk (m) yσk (m) − L ≥ ε o n = M Sn n ,

hence x and y are σ-asymptotically equivalent to multiple L.  The converse of Theorem 2.1 does not hold. For example, x = (xk)and y = (yk)are the

sequences defined by following; xk :=



2 , if k is an even integer

0 , if k is an odd integer ; yk:= 1

When σ(m) = m + 1, this sequence is σ-asymptotically equivalent but it is not asymptoti-cally Iσ-equivalent.

Definition 2.3. Two nonnegative sequence x = (xk)and y = (yk)are strongly σ-asymptotically

equivalent of multiple L if lim n→∞ 1 n n X k=1 xσk(m) yσk(m) − L = 0,

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uniformly in m. In this case, we write x [V

L σ]

∼ y and simply strongly σ-asymptotically equivalent, if L = 1.

Definition 2.4. Let 0 < p < ∞. Two nonnegative sequence x = (xk)and y = (yk)are

strongly σ-asymptotically p-equivalent of multiple L if lim n→∞ 1 n n X k=1 xσk(m) yσk(m) − L p = 0,

uniformly in m. In this case, we write x [V

L σ]p

∼ y and simply strongly σ-asymptotically p-equivalent, if L = 1.

The set of all strongly σ-asymptotically p-equivalent of multiple L sequences will be denoted by [VL

σ]p.

Theorem 2.2. Let 0 < p < ∞. Then, x[V L σ]p ∼ y ⇒ xI L σ ∼ y. Proof. Let x[V L σ]p

∼ y and given ε > 0. Then, for every m ∈ N we have

n X k=1 xσk(m) yσk(m) − L p ≥ n X k=1 x σk (m) yσk (m)−L ≥ε xσk(m) yσk(m) − L p ≥ εp·  1 ≤ k ≤ n : xσk(m) yσk(m) − L ≥ ε  ≥ εp· max m  1 ≤ k ≤ n : xσk(m) yσk(m) − L ≥ ε  and 1 n n X k=1 xσk(m) yσk(m) − L p ≥ εp· maxm n 1 ≤ k ≤ n : xσk (m) yσk (m) − L ≥ ε o n = ε p· Sn n , for every m = 1, 2, ... . This implies lim

n→∞ Sn n = 0and so x IL σ ∼ y. 

Theorem 2.3. Let 0 < p < ∞ and x, y ∈ `∞. Then, x IL σ ∼ y ⇒ x[V L σ]p ∼ y . Proof. Suppose that x, y ∈ `∞and x

IL σ

∼ y. Let ε > 0. By assumption, we have V (Aε) = 0.

The boundedness of x and y implies that there exists a M > 0 such that xσk(m) yσk(m) − L ≤ M,

for k = 1, 2, ...; m = 1, 2, ... . Observe that, for every m ∈ N we have 1 n n P k=1 xσk (m) yσk (m) − L p = 1 n n P k=1 x σk (m) yσk (m)−L ≥ε xσk (m) yσk (m) − L p + 1 n n P k=1 x σk (m) yσk (m)−L <ε xσk (m) yσk (m) − L p ≤ M max m n 1 ≤ k ≤ n : xσk (m) yσk (m) − L ≥ ε o n + ε p ≤ MSn n + ε p.

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Hence, we obtain lim n→∞ 1 n n X k=1 xσk(m) yσk(m) − L p = 0, uniformly in m. 

Theorem 2.4. Let 0 < p < ∞. Then, IL

σ∩ `∞= [VLσ]p∩ `∞.

Proof. This is an immediate consequence of Theorem 2.2 and Theorem 2.3.  Now we shall state a theorem that gives a relationship between asymptotically Iσ-equivalence and Sσ-asymptotically equivalence.

Theorem 2.5. The sequences x = (xk)and y = (yk)are asymptotically Iσ-equivalent to multiple

Lif and only if they are Sσ-asymptotically equivalent of multiple L.

REFERENCES

[1] Fast, H., Sur la convergence statistique, Colloq. Math., 2 (1951), 241–244

[2] Kostyrko, P., Macaj, M., ˇSal´at, T. and Sleziak, M., I-Convergence and Extermal I-limits points, Math. Slovaca, 55(2005), 443–464

[3] Kostyrko, P., ˇSal´at, T. and Wilczy ´nski, W., I-Convergence, Real Anal. Exchange, 26 (2000), No. 2, 669–686 [4] Marouf, M., Asymptotic equivalence and summability, Int. J. Math. Math. Sci., 16 (1993), No. 4, 755–762 [5] Mursaleen, M., On finite matrices and invariant means, Indian J. Pure Appl. Math., 10 (1979), 457–460 [6] Mursaleen, M., Matrix transformation between some new sequence spaces, Houston J. Math., 9 (1983), 505–509 [7] Mursaleen, M. and Edely, O. H. H., On the invariant mean and statistical convergence, Appl. Math. Lett., 22

(2009), No. 11, 1700–1704

[8] Nuray, F. and Savas¸, E., Invariant statistical convergence and A-invariant statistical convergence, Indian J. Pure Appl. Math., 25 (1994), No. 3, 267–274

[9] Nuray, F., G ¨ok, H. and Ulusu, U., Iσ-convergence, Math. Commun., 16 (2011), 531–538

[10] Patterson, R. F., On asymptotically statistically equivalent sequences, Demostratio Math., 36 (2003), No. 1, 149–153

[11] Patterson, R. F. and Savas¸, E., On asymptotically lacunary statistically equivalent sequences, Thai J. Math., 4 (2006), No. 2, 267–272

[12] Raimi, R. A., Invariant means and invariant matrix methods of summability, Duke Math. J., 30 (1963), No. 1, 81–94

[13] Savas¸, E., Some sequence spaces involving invariant means, Indian J. Math., 31 (1989), 1–8 [14] Savas¸, E., Strongly σ-convergent sequences, Bull. Calcutta Math., 81 (1989), 295–300

[15] Savas¸, E., On I-asymptotically lacunary statistical equivalent sequences, Adv. Difference Equ., 111 (2013), 7 pages. doi:10.1186/1687-1847-2013-111

[16] Savas¸, E. and Nuray, F., On σ-statistically convergence and lacunary σ-statistically convergence, Math. Slovaca, 43(1993), No. 3, 309–315

[17] Savas¸, E. and Patterson, R. F., σ-asymptotically lacunary statistical equivalent sequences, Cent. Eur. J. Math., 4 (2006), No. 4, 648–655

[18] Schaefer, P., Infinite matrices and invariant means, Proc. Amer. Math. Soc., 36 (1972), 104–110 DEPARTMENT OFMATHEMATICS

AFYONKOCATEPEUNIVERSITY 03200 AFYONKARAHISAR, TURKEY E-mail address: ulusu@aku.edu.tr

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