2018
DOI: 10.1007/s10959-018-0871-8
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Correction to: Conservative and Semiconservative Random Walks: Recurrence and Transience

Abstract: The aim of this note is to correct the errors in the formulation and proof of Lemma 4.1 in [1] and some claims that are based on that lemma. The correct formulation of the aforementioned lemma should be as follows.

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Cited by 3 publications
(12 citation statements)
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(4 reference statements)
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“…Therefore, we provide another classification of random walks that is closely related to one given in [1]. For any vector n = (n (1) , n (2) , . .…”
Section: Introduction and Formulation Of The Main Resultsmentioning
confidence: 99%
See 2 more Smart Citations
“…Therefore, we provide another classification of random walks that is closely related to one given in [1]. For any vector n = (n (1) , n (2) , . .…”
Section: Introduction and Formulation Of The Main Resultsmentioning
confidence: 99%
“…+ |n (d) |. Since in our case, the vectors are assumed to be two-dimensional with positive components, the notation reduces to n = n (1) + n (2) . For simplicity, a family of random walks having index ψ will be called ψ-random walks.…”
Section: Introduction and Formulation Of The Main Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Birth-and-death processes. In this section, we demonstrate an application of Theorem 2 in the theory of birth-and-death processes improving Lemma 4.1 in [11]. Namely, we prove the following theorem.…”
Section: Application Of Theorem ??mentioning
confidence: 87%
“…In particular, if lim n→∞ r n exists, the theorem does not provide information about the situation when lim n→∞ r n = 1. It follows from the proof of Lemma 4.1 in [11] that if this convergence is from the below, then (1) diverges. If it is not, the series may either converge or diverge.…”
Section: The Bertrand-de Morgan Test For Series (1) the Bertrand-dementioning
confidence: 93%