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      On a fractional linear birth--death process

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          Abstract

          In this paper, we introduce and examine a fractional linear birth--death process \(N_{\nu}(t)\), \(t>0\), whose fractionality is obtained by replacing the time derivative with a fractional derivative in the system of difference-differential equations governing the state probabilities \(p_k^{\nu}(t)\), \(t>0\), \(k\geq0\). We present a subordination relationship connecting \(N_{\nu}(t)\), \(t>0\), with the classical birth--death process \(N(t)\), \(t>0\), by means of the time process \(T_{2\nu}(t)\), \(t>0\), whose distribution is related to a time-fractional diffusion equation. We obtain explicit formulas for the extinction probability \(p_0^{\nu}(t)\) and the state probabilities \(p_k^{\nu}(t)\), \(t>0\), \(k\geq1\), in the three relevant cases \(\lambda>\mu\), \(\lambda<\mu\), \(\lambda=\mu\) (where \(\lambda\) and \(\mu\) are, respectively, the birth and death rates) and discuss their behaviour in specific situations. We highlight the connection of the fractional linear birth--death process with the fractional pure birth process. Finally, the mean values \(\mathbb{E}N_{\nu}(t)\) and \(\operatorname {\mathbb{V}ar}N_{\nu}(t)\) are derived and analyzed.

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          Fractional Poisson process

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            Time-fractional telegraph equations and telegraph processes with brownian time

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              Fractional Poisson processes and related planar random motions

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                Author and article information

                Journal
                2011-02-08
                2011-02-23
                Article
                10.3150/10-BEJ263
                1102.1620
                bff5b950-be25-4e46-8a81-8aa23a8a0620

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

                History
                Custom metadata
                IMS-BEJ-BEJ263
                Bernoulli 2011, Vol. 17, No. 1, 114-137
                Published in at http://dx.doi.org/10.3150/10-BEJ263 the Bernoulli (http://isi.cbs.nl/bernoulli/) by the International Statistical Institute/Bernoulli Society (http://isi.cbs.nl/BS/bshome.htm)
                math.PR math.ST stat.TH
                vtex

                Probability,Statistics theory
                Probability, Statistics theory

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