Jacobsthal-Lucas series and their applications

In this paper we study the properties of positive series such that its terms are reciprocals of the elements of Jacobsthal-Lucas sequence. In particular, we consider the properties of the set of incomplete sums as well as their applications. We prove that the set of incomplete sums of this series is...

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Hauptverfasser: Pratsiovytyi, M., Karvatsky, D.
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spelling irk-123456789-1566452019-06-19T01:26:44Z Jacobsthal-Lucas series and their applications Pratsiovytyi, M. Karvatsky, D. In this paper we study the properties of positive series such that its terms are reciprocals of the elements of Jacobsthal-Lucas sequence. In particular, we consider the properties of the set of incomplete sums as well as their applications. We prove that the set of incomplete sums of this series is a nowhere dense set of positive Lebesgue measure. Also we study singular random variables of Cantor type related to Jacobsthal-Lucas sequence. 2017 Article Jacobsthal-Lucas series and their applications / M. Pratsiovytyi, D. Karvatsky // Algebra and Discrete Mathematics. — 2017. — Vol. 24, № 1. — С. 169-180. — Бібліогр.: 8 назв. — англ. 1726-3255 2010 MSC:11B83, 11B39, 60G50. http://dspace.nbuv.gov.ua/handle/123456789/156645 en Algebra and Discrete Mathematics Інститут прикладної математики і механіки НАН України
institution Digital Library of Periodicals of National Academy of Sciences of Ukraine
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description In this paper we study the properties of positive series such that its terms are reciprocals of the elements of Jacobsthal-Lucas sequence. In particular, we consider the properties of the set of incomplete sums as well as their applications. We prove that the set of incomplete sums of this series is a nowhere dense set of positive Lebesgue measure. Also we study singular random variables of Cantor type related to Jacobsthal-Lucas sequence.
format Article
author Pratsiovytyi, M.
Karvatsky, D.
spellingShingle Pratsiovytyi, M.
Karvatsky, D.
Jacobsthal-Lucas series and their applications
Algebra and Discrete Mathematics
author_facet Pratsiovytyi, M.
Karvatsky, D.
author_sort Pratsiovytyi, M.
title Jacobsthal-Lucas series and their applications
title_short Jacobsthal-Lucas series and their applications
title_full Jacobsthal-Lucas series and their applications
title_fullStr Jacobsthal-Lucas series and their applications
title_full_unstemmed Jacobsthal-Lucas series and their applications
title_sort jacobsthal-lucas series and their applications
publisher Інститут прикладної математики і механіки НАН України
publishDate 2017
url http://dspace.nbuv.gov.ua/handle/123456789/156645
citation_txt Jacobsthal-Lucas series and their applications / M. Pratsiovytyi, D. Karvatsky // Algebra and Discrete Mathematics. — 2017. — Vol. 24, № 1. — С. 169-180. — Бібліогр.: 8 назв. — англ.
series Algebra and Discrete Mathematics
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fulltext Algebra and Discrete Mathematics RESEARCH ARTICLE Volume 24 (2017). Number 1, pp. 169–180 c© Journal “Algebra and Discrete Mathematics” Jacobsthal-Lucas series and their applications Mykola Pratsiovytyi and Dmitriy Karvatsky Communicated by A. P. Petravchuk Abstract. In this paper we study the properties of posi- tive series such that its terms are reciprocals of the elements of Jacobsthal-Lucas sequence (Jn+2 = 2Jn+1 + Jn, J1 = 2, J2 = 1). In particular, we consider the properties of the set of incomplete sums as well as their applications. We prove that the set of incom- plete sums of this series is a nowhere dense set of positive Lebesgue measure. Also we study singular random variables of Cantor type related to Jacobsthal-Lucas sequence. Introduction Today mathematicians heavily research structural, topological, metric and fractal properties of the set of incomplete sums (subsums) of absolutely convergent series. Despite essential progress for some series, the problem is quite difficult in general case. In this context scientists focus on series such that their terms are elements of some sequences with some condition of homogeneity (depend on finite numbers of parameters and defined by a formula for general term or some recurrence relation). In this research article we investigate series ∞∑ n=1 1 2n−1 + (−1)n−1 . 2010 MSC: 11B83, 11B39, 60G50. Key words and phrases: Jacobsthal-Lucas sequence, the set of incomplete sums, singular random variable, Hausdorff-Besicovitch dimension. 170 Jacobsthal-Lucas series It seems that this series is a “simple perturbation” of classic binary series and changes of properties of the set of subsums are insignificant. However this is not true. 1. Jacobsthal-Lucas sequence Definition 1. The sequence of real numbers (un) ≡ (un)∞ n=1 having the property un+2 = pun+1 + sun, (1) where u1, u2, p, s are fixed real numbers, is called a generalized Fibonacci sequence. Let p and s be fixed real numbers (p2 + s2 6= 0), and let Fp,s be a set of all sequences satisfying condition (1). Consider linear operations on this set defined by formulas (an) ⊕ (bn) = (an + bn) and λ(an) = (λan), n ∈ N, λ ∈ R. Then Fp,s forms a two-dimensional vector space with respect to these operations. It is easy to introduce different mathematical structures in this space [4]. If p = 1, s = 2, then generalized Fibonacci sequence is called Jacobsthal sequence. Thus, Jacobsthal sequences form a two-dimensional vector space containing geometric progression with common ratios 2 and −1. This family does not contain infinitesimal sequences except for zero sequence. The general term of Jacobsthal sequence is equal to un = (u2 + u1)2n−1 + (2u1 − u2)(−1)n−1 3 . These sequences can be used for representing real numbers [2], mo- deling of objects with complicated local structure (sets, functions, random variables, etc. [3]). One particular case (for u2 = p = 1, u1 = s = 2) of generalized Fibonacci sequence is Jacobsthal-Lucas sequence defined as follows (Jn) = (2, 1, 5, 7, 17, 31, 65, . . . Jn, . . .) , Jn = Jn−1 + 2Jn−2, n > 3. (2) Lemma 1. The general term of Jacobsthal-Lucas sequence is determined by formula Jn = 2n−1 + (−1)n−1. (3) M. Pratsiovytyi, D. Karvatsky 171 Proof. Finding a general term of the sequence (2) is equivalent to solving homogeneous difference equation of order 2 y (x + 2) − y (x + 1) − 2y (x) = 0. (4) Characteristic equation of (4) has the form λ2 − λ − 2 = 0. Numbers 2 and −1 are solutions of characteristic equation. Functions y1(x) = 2x and y2(x) = (−1)x are solutions of equation (4). Hence, general solution can be written as a function y (x) = c12x−1 + c2(−1)x−1. Taking into account initial conditions { c1y1 (1) + c2y2 (1) = 2, c1y1 (2) + c2y2 (2) = 1, we can find constants c1 and c2. It is easy to see that c1 = c2 = 1. So, general term of sequence (2) has form (3). Theorem 1. Jacobsthal-Lucas sequence has the following properties: 1. k∑ n=1 Jn = { 2k if k is odd, 2k − 1 if k is even; 2. k+1 2∑ n=1 J2n−1 = Jk+2 − 2 3 + k + 1 2 ; 3. k 2∑ n=1 J2n = 2(Jk+1 − 2) 3 − k 2 ; 4. k∑ n=1 J2 n =    J2k+1 + 2Jk+1 + 2 3 + k if k is odd, J2k+1 − 2Jk+1 + 2 3 + k if k is even; 5. k∑ n=1 (−1)n−1Jn =    −Jk+1 + 2 3 + k if k is odd, Jk+1 + 2 3 + k if k is even. 2. Jacobsthal-Lucas series Consider the series of the reciprocals of the Jacobsthal-Lucas numbers r = ∞∑ n=1 un = ∞∑ n=1 1 Jn = 1 2 + 1 1 + 1 5 + 1 7 + . . . + 1 Jn + . . . . (5) This is convergent positive series, and its terms form a monotonic decreasing sequence, starting with the second term. Furthermore, it is known [8] that infinite sum ∞∑ n=1 tn Aαn+Bβn is an irrational number if α, β are positive integers and A · B 6= 0, |α| > |t|, |A · B · t2| < |α|. Hence, the sum of series (5) is also an irrational number. 172 Jacobsthal-Lucas series Using equality (3), we have the formula for general term of the sequence of reciprocal Jacobsthal-Lucas numbers: un = 1 2n−1 + (−1)n−1 . (6) Lemma 2. For series (5), the following system of inequalities holds: { un > rn if n is even, un < rn if n is odd. (7) Proof. Using (6), for even numbers n, we have un = 1 2n−1 − 1 . Since 1 2k + 1 + 1 2k+1 − 1 < 1 2k + 1 2k+1 for any k ∈ N , we obtain rn = 1 2n + 1 + 1 2n+1 − 1 + 1 2n+2 + 1 +· · · < 1 2n + 1 2n+1 + 1 2n+2 +· · · = 1 2n−1 . So, rn < 1 2n−1 < 1 2n−1 − 1 = un. Hence un > rn for even numbers n. Similarly, using (6), for odd numbers n, we have un = 1 2n−1 + 1 . Since 1 2k − 1 + 1 2k+1 + 1 > 1 2k + 1 2k+1 for any k ∈ N , we obtain rn = 1 2n − 1 + 1 2n+1 + 1 + 1 2n+2 − 1 +· · · > 1 2n + 1 2n+1 + 1 2n+2 +· · · = 1 2n−1 . So, rn > 1 2n−1 > 1 2n−1 + 1 = un. Hence un < rn for odd numbers n. Lemma 3. For remainders of series (5), the following system of inequa- lities holds:    1 2n + 1 + 1 2n < rn < 1 2n−1 if n is even, 1 2n−1 < rn < 1 2n − 1 + 1 2n if n is odd. (8) M. Pratsiovytyi, D. Karvatsky 173 Proof. For even number n, we have rn = 1 2n + 1 + 1 2n+1 − 1 + · · · + 1 2n+k + (−1)n+k + . . . < 1 2n + 1 2n+1 + · · · + 1 2n+k + · · · = 1 2n−1 . On the other hand, rn > 1 2n + 1 + [ 1 2n+1 + 1 2n+2 + · · · + 1 2n+k+1 + . . . ] = 1 2n + 1 + 1 2n . Hence, for even number n, the following inequalities hold: 1 2n + 1 + 1 2n < rn < 1 2n−1 . For odd number n, we have rn = 1 2n − 1 + 1 2n+1 + 1 + · · · + 1 2n+k + (−1)n+k + . . . > 1 2n + 1 2n+1 + · · · + 1 2n+k + · · · = 1 2n−1 . On the other hand, rn < 1 2n − 1 + [ 1 2n+1 + 1 2n+2 + · · · + 1 2n+k+1 + . . . ] = 1 2n − 1 + 1 2n . Hence, for odd number n, the following inequalities hold: 1 2n−1 < rn < 1 2n − 1 + 1 2n . Lemma 4. For any positive integer k, the following inequalities hold: u2k+2+u2k+3+. . .+u4k < u2k+1 <u2k+2+u2k+3+. . .+u4k+(u4k+1+u4k+2). To prove this lemma, we estimate the difference of the right-hand and left-hand side of each inequality and take into account 1 2k + 1 + 1 2k+1 − 1 < 1 2k + 1 2k+1 < 1 2k − 1 + 1 2k+1 + 1 . 174 Jacobsthal-Lucas series 3. The set of incomplete sums of the series Definition 2. Let M ∈ 2N that is M ⊆ N . Then number x = x (M) = ∑ n∈M un = ∞∑ n=1 εnun, (9) where εn = { 1 if n ∈ M, 0 if n /∈ M, is called the incomplete sum of series ∑ un. By ∆′ we denote the set of all incomplete sums of series (5). The set of incomplete sums of convergent positive series such that ine- quality un 6 rn (un > rn) holds only finitely many times was investigated in paper [7]. Moreover, it is well known [6] that the set of all subsums of any convergent positive series always belongs to one of the following three types: a finite union of closed intervals, a Cantor type set or an M-Cantorval. However, the question about type and properties of the set of subsums of series (5) is still open because inequalities un < rn and un > rn hold infinitely many times for this series. Definition 3. The set ∆′ c1...ck of all incomplete sums k∑ n=1 cnun + ∞∑ n=k+1 εnun, where εn ∈ {0, 1} , of series (5) is called the cylinder of rank k with base c1 . . . ck(ci ∈ {0, 1}). Definition 4. The closed interval ∆c1c2...ck = [ inf ∆′ c1...ck , sup ∆′ c1...ck ] is called the cylindrical interval of rank k with base c1 . . . ck(ci ∈ {0, 1}). It is possible that ∆′ c1...ck and ∆c1...ck coincide or not, depending on properties of series and sequence (c1 . . . ck). However ∆′ c1...ck ⊂ ∆c1...ck in any case. Lemma 5. The cylindrical sets have the following properties: 1. ∆c1c2...ck = [ k∑ i=1 ciui, k∑ i=1 ciui + rk ] ; 2. |∆c1c2...ck | = rk → 0 as k → ∞; 3. ∆c1c2...ck ⊂∆c1c2...ck0 ⋃ ∆c1c2...ck1, ∆′ c1c2...ck = ∆′ c1c2...ck0 ⋃ ∆′ c1c2...ck1; 4. inf ∆c1c2...ck = inf ∆c1c2...ck0 < inf ∆c1c2...ck1, sup ∆c1c2...ck = sup ∆c1c2...ck1 > sup ∆c1c2...ck0; M. Pratsiovytyi, D. Karvatsky 175 5. ∞⋂ k=1 ∆c1c2...ck = ∞⋂ k=1 ∆′ c1c2...ck ≡ ∆c1c2...ck... = x ⊂ [0, r] ; 6. |∆c1c2...ckc| |∆c1c2...ck | = rk+1 rk+1 + uk+1 = 1 δk+1 + 1 , where δk+1 = uk+1 rk+1 ; 7. ∆c1c2...ck = ∆s1s2...sk if and only if ci = si, i = 1, k; 8. Ok+1 c1...ck (1, 0) = ∆c1c2...ck1 ⋂ ∆c1c2...ck0 =    [ k∑ n=1 cnun + un+1, k∑ n=1 cnun + rn+1 ] if k is even, ∅ if k is odd; 9. For any even number k, ∆c1c2...ck1 ⋂ ∆c1c2...ck0 = ∆c1c2...ck10 ⋂ ∆c1c2...ck01; 10. Gk+1 c1...ck (1, 0) = ∆c1c2...ck \ ( ∆c1c2...ck1 ⋃ ∆c1c2...ck0 ) =    ( k∑ n=1 cnun+rn+1, k∑ n=1 cnun + un+1 ) if k is odd, ∅ if k is even; 11. For any positive integer k > 2, Gk+2 c1...ck (01, 00) ⋂ Gk+2 c1...ck (10, 11) = ∅; 12. For any positive integer k > 2, ( Gk+2 c1...ck (01, 00) ⋃ Gk+2 c1...ck (10, 11) )⋂ Ok+1 c1...ck (1, 0) = ∅. Lemma 6. For any odd number n, the following relations hold: On c1...cn−1 (0, 1) = ∆c1...cn−10 1 . . . 1︸ ︷︷ ︸ m ⋂ ∆c1...cn−11 0 . . . 0︸ ︷︷ ︸ m if m < n − 2, On c1...cn−1 (0, 1) 6= ∆c1...cn−10 1 . . . 1︸ ︷︷ ︸ m ⋂ ∆c1...cn−11 0 . . . 0︸ ︷︷ ︸ m if m > n. Lemma 7. For any nonempty On+1 c1...cn (0, 1) there exist a positive integer m and sequence α1, . . . , αm, β1, . . . , βm, where αi ∈ {0, 1}, βi ∈ {0, 1}, i = 1, m, such that Gn+m+1 c1...cn1α1...αm (0, 1) ⋂ Gn+m+1 c1...cn0β1...βm (0, 1) ∈ On+1 c1...cn (0, 1). 176 Jacobsthal-Lucas series Proof. Let us show that there exist a positive integer m and sequence α1, . . . , αm, β1, . . . , βm, where αi ∈ {0, 1}, βi ∈ {0, 1}, i = 1, m, such that min Gn+m+1 c1...cn0β1...βm < min Gn+m+1 c1...cn1α1...αm < max Gn+m+1 c1...cn0β1...βm , 0 < un+1 + m∑ i=1 (αi − βi)un+1+i < un+m+2 − rn+m+2. Taking into account un+1 < rn+1, we can find the number m̃ > n + 1 such that un+1−un+2−un+3−· · ·−un+m̃ < 0. Since un+m+2−rn+m+2 > 0, we see that there exist numbers α1, . . . , αm, β1, . . . , βm, where αi ∈ {0, 1} and βi ∈ {0, 1}, i = 1, m, such that 0 < un+1 + m∑ i=1 (αi − βi)un+1+i < un+m+2 − rn+m+2. Corollary 1 (Lemmas 7, 8). Any intersection of cylinders of the same rank is not completely contained in the set of subsums of series (5). Theorem 2. The set of incomplete sums of series (5) is a perfect nowhere dense set of positive Lebesgue measure. Proof. It is easy to prove that the set of incomplete sums of any positive series is a perfect set (i.e., closed set without isolated points). By G we denote the sum of all gaps in the form Gn+1 c1...cn (0, 1) between cylinders of even ranks. Then Lebesgue measure of ∆′ is greater than or equal to some number: L(∆′) > ∞∑ n=1 un − G. Using properties 10, 11, 12 of cylindrical sets, we have ∞∑ n=1 un − G = ∞∑ n=1 un−3[u1−r2]−8[u4−r4]− . . . −2 · 4n−1[u2n−r2n] − . . . = 4u3 − 4u4 + 12u5 − 20u6 + 44u7 − . . . + un+2[22 − 23 + 24 − . . . + (−2)n+1] + . . . = ∞∑ n=1 ( u2n+1 · 4 + 22n+1 3 + u2n+2 · 4 − 22n+2 3 ) = ∞∑ n=1 An. Now we show that An > 0 for all n ∈ N . Taking into account equa- lity (6), we see that An = 4 + 22n+1 3 (22n + 1) + 4 − 22n+2 3 (22n+1 − 1) = 22n+1 (22n + 1)(22n+1 − 1) > 0. M. Pratsiovytyi, D. Karvatsky 177 Using approximate calculation, we can conclude that Lebesgue measure of ∆′ is greater than some positive number: L(∆′) > 100∑ n=1 22n+1 (22n + 1)(22n+1 − 1) ≈ 0, 3099984859 . . . > 0. Finally, we show that the set of incomplete sums is nowhere dense. Suppose that there exists some closed interval [a, b] ⊂ ∆′. It is obvious that we can find numbers c1, c2, . . . , ck such that a < k∑ n=1 cnun < b, max{uk, rk} < b − k∑ n=1 cnun. So, there exists some cylindrical interval ∆c1...ck ⊂ [a, b]. If k is odd, then from the properties of cylindrical sets it follows that Gk+1 c1...ck (0, 1) ⊂ ∆c1...ck . So there exists some gap Gk+1 c1...ck (0, 1) such that it is a subset of [a, b] but is not contained in the set of subsums. If k is even, then from the properties of cylindrical sets it follows that Ok+1 c1...ck (0, 1) ⊂ ∆c1...ck ⊂ [a, b]. According to Lemmas 7 and 8, intersection Ok+1 c1...ck (0, 1) cannot be contained in the set of subsums. This contradiction proves the theorem. 4. Distribution of random incomplete sum Let us consider random variable ξ = ∞∑ k=1 ξk Jk , where (ξk) is a sequence of independent random variables taking the values 0 and 1 with probabilities P{ξk = 0} = p0k > 0, P{ξk = 1} = p1k > 0 respectively, p0k + p1k = 1, and (Jk) is Jacobsthal-Lucas sequence. Properties of distribution of ξ depend both on infinite stochastic matrix ||pik|| and series (5). According to the Jessen-Wintner theorem [1], the random variable ξ has a pure distribution (pure discrete, pure absolutely continuous or pure singular). Criterion for the discreteness of ξ follows from the P. Lévy theorem (see [5]): the random variable ξ has a discrete distribution if and only if M = ∏ ∞ k=1 max{p0k, p1k} > 0. It is easy to prove that the spectrum Sξ of the distribution of random variable ξ is the set Sξ = {x : x = ∆c1c2...ck..., pckk > 0, ∀k ∈ N} and Sξ is a subset of the set of incomplete sums of series (5). We understand topological, metric and fractal properties of distribution of random variable ξ as topological, metric and fractal properties of its spectrum. 178 Jacobsthal-Lucas series Theorem 3. If { p0(2m)p1(2m) = 0, p0(2m−1)p1(2m−1) 6= 0, or { p0(2m)p1(2m) 6= 0, p0(2m−1)p1(2m−1) = 0, then random variable ξ has a singular distribution of Cantor type. The Hausdorff-Besicovitch dimension of the spectrum of ξ is equal to 0, 5. Proof. We prove the theorem if ξ satisfies condition p0(2m) · p1(2m) = 0, p0(2m−1) · p1(2m−1) 6= 0. The proof is similar in second case. The spectrum of ξ coincides with the set of incomplete sums of series ∞∑ n=1 tn = 1 J1 + 1 J3 + · · · + 1 J2n−1 + · · · = ∞∑ n=1 u2n−1. (10) It is easy to see that tk > rk(t) = ∞∑ n=k+1 tn for any positive integer k. Then the set of subsums of series (10) is a perfect nowhere dense set [7]. By (3), we have tn = 1 4n−1+1 . The Lebesgue measure of the set of incomplete sums of series (10) ∆′(t) can be computed by formula λ(∆′(t)) = limn→∞ 2nrn(t). Since rn(t) = ∞∑ k=n+1 tk < 1 4n + 1 4n+1 + · · · = 1 3 · 4n−1 < 1 4n−1 , we see that λ(∆′(t)) < lim n→∞ 2n 4n−1 = 0. So, we can conclude that the Lebesgue measure of the set of incomplete sums of series (10) is equal to zero. However, there is still open question about Hausdorff-Besicovitch dimension of spectrum of ξ. It is well known that Hα(E) = lim k→∞ 2krα k (t) = lim k→∞ (2r α k k (t))k =    0 if 2r α k k (t) < 1, 1 if 2r α k k (t) = 1, ∞ if 2r α k k (t) > 1. Let us consider the case 2r α k k (t) = 1. We have α(k) = −k ln 2 ln rk(t) . Since α depends on k in the last equality, we see that α = lim k→∞ α(k) = lim k→∞ −k ln 2 ln rk(t) . M. Pratsiovytyi, D. Karvatsky 179 For the remainders of series (10), the following inequalities hold: 1 4k+1 < rk(t) < 1 4k−1 . Hence, we have ln ( 1 4k+1 ) < ln rk(t) < ln ( 1 4k−1 ) , ln 2 ln ( 1 4k−1 ) < ln 2 ln rk(t) < ln 2 ln ( 1 4k+1 ) , −k · ln 2 −(k − 1) · ln 4 < −k · ln 2 ln rk(t) < −k · ln 2 −(k + 1) · ln 4 . We can find the limit of the sequence on the left and right side of the above inequality respectively: lim k→∞ −k · ln 2 −(k − 1) · ln 4 = 1 2 and lim k→∞ −k · ln 2 −(k + 1) · ln 4 = 1 2 . From the squeeze theorem it follows that lim k→∞ α(k) = lim k→∞ −k · ln 2 ln rk(t) = 1 2 . So, the Hausdorff-Besicovitch dimension of the set of incomplete sums of series (10) is equal to 0, 5. Theorem 4. Let pairs (ξ2k−1ξ2k) of consecutive independent random variables take values from the set {(0, 0), (1, 1)} with probabilities p0k > 0, p1k > 0 respectively, ∞∏ k=1 max{p0k, p1k} = 0, and stochastic matrix ‖pik‖ has finite numbers of zeroes. Then random variable ξ has a singular probability distribution of Cantor type; and the Hausdorff-Besicovitch dimension of the spectrum of ξ is equal to 0, 5. References [1] B. Jessen, A. Wintner, Distribution functions and the Riemann zeta function, Trans. Amer. Math. Soc., Vol. 38 (1), 1935, pp. 48-88. [2] D. M. Karvatsky, Representation of real numbers by infinitesimal generalized Fibonacci sequences, Trans. Natl. Pedagog. Mykhailo Drahomanov Univ. Ser. 1. Phys. Math., no. 15, 2013, pp. 56-73 (in Ukrainian). [3] D. M. Karvatsky, Properties of distribution of random incomplete sum of conver- gent positive series whose terms are elements of generalized Fibonacci sequence, Bukovinian Mathematical Journal, Vol. 3 (1), 2015, pp. 52-59 (in Ukrainian). 180 Jacobsthal-Lucas series [4] D. M. Karvatsky, N. M. Vasylenko, Mathematical structures in the spaces of generalized Fibonacci sequences, Trans. Natl. Pedagog. Mykhailo Drahomanov Univ. Ser. 1. Phys. Math., no. 13 (1), 2012, pp. 118-127 (in Ukrainian). [5] P. Lévy, Sur les séries dont les termes sont des variables éventuelles indépendantes, Studia Math., Vol. 3 (1), 1931, pp. 119-155. [6] J. E. 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