2015
DOI: 10.1002/mana.201400037
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On massive sets for subordinated random walks

Abstract: We study massive (reccurent) sets with respect to a certain random walk $S_\alpha $ defined on the integer lattice $\mathbb{Z} ^d$, $d=1,2$. Our random walk $S_\alpha $ is obtained from the simple random walk $S$ on $\mathbb{Z} ^d$ by the procedure of discrete subordination. $S_\alpha $ can be regarded as a discrete space and time counterpart of the symmetric $\alpha $-stable L\'{e}vy process in $\mathbb{R}^d$. In the case $d=1$ we show that some remarkable proper subsets of $\mathbb{Z}$ , e.g. the set $\mat… Show more

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Cited by 7 publications
(7 citation statements)
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“…Then using equicontinouity of the distributions we conclude the convergence. The above technique was previously used in [3] where subordinated random walks on Z d were considered. Beside the transition density p(t, x) we also investigate the Lévy measure ν of the process X.…”
Section: Introductionmentioning
confidence: 99%
“…Then using equicontinouity of the distributions we conclude the convergence. The above technique was previously used in [3] where subordinated random walks on Z d were considered. Beside the transition density p(t, x) we also investigate the Lévy measure ν of the process X.…”
Section: Introductionmentioning
confidence: 99%
“…It appears (based on the estimates of Green's function in Uchiyama [34, Section 8]) that such results should be fully analogous to the lattice ones for walks with EX 1 = 0 and E X 1 2 < ∞ if the distribution of X 1 has density with respect to the Lebesgue measure. The case of heavy-tailed random walks on Z d , including transient walks in dimensions d = 1, 2, is considered by Bendikov and Cygan [4,5].…”
Section: Corollary Assume That τmentioning
confidence: 99%
“…It implies that the corresponding estimates hold only in that region whereas (1.2) is true for all ∈ ℤ and ∈ ℕ. There are more papers where subordinate random walks were studied from potential-theoretic point of view, see [5,6,11,16,17]. Note that discrete subordination allows us to efficiently construct examples of random walks with the controlled tail behaviour.…”
Section: Introductionmentioning
confidence: 98%