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      On massive sets for subordinated random walks

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          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 \(\mathcal{P}\) of primes, are massive whereas some proper subsets of \(\mathcal{P}\) such as Leitmann primes \(\mathcal{P}_h\) are massive/non-massive depending on the function \(h\). Our results can be regarded as an extension of the results of McKean (1961) about massiveness of the set of primes for the simple random walk in \(\mathbb{Z}^3\). In the case \(d=2\) we study massiveness of thorns and their proper subsets.

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          Random walks on groups and discrete subordination

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            Nash type inequalities for fractional powers of non-negative self-adjoint operators

            Assuming that a Nash type inequality is satisfied by a non-negative self-adjoint operator \(A\), we prove a Nash type inequality for the fractional powers \(A^{\alpha}\) of \(A\). Under some assumptions, we give ultracontractivity bounds for the semigroup \((T_{t,{\alpha}})\) generated by \(-A^{\alpha}\).
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              Dirichlet norms, capacities and generalized isoperimetric inequalities for Markov operators

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                Author and article information

                Journal
                2014-01-16
                2016-02-22
                Article
                10.1002/mana.201400037
                1401.3972
                86744c55-7031-4373-9aea-1610ce82ddef

                http://arxiv.org/licenses/nonexclusive-distrib/1.0/

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                Custom metadata
                31A15, 60J45, 05C81
                Mathematische Nachrichten, Volume 288, Issue 8-9, pages 841-853, 2015
                16 pages, 1 figure
                math.PR

                Probability
                Probability

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