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Absolute Continuity of the Measure States in a Branching Model with Catalysts

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Seminar on Stochastic Processes, 1990

Part of the book series: Progress in Probability ((PRPR,volume 24))

Abstract

Spatially homogeneous measure-valued branching Markov processes X on the real line ℝ with certain motion processes and branching mechanisms with finite variances have absolutely continuous states with respect to Lebesgue measure, that is, roughly speaking,

$$X(t,dy) = \eta (t,y)dy$$

for some random density function η(t)=η(t,·). Results of this type are established in Dawson and Hochberg (1979), Roelly-Coppoletta (1986), Wulfsohn (1986), Konno and Shiga (1988), and Tribe (1989).

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Dawson, D.A., Fleischmann, K., Roelly, S. (1991). Absolute Continuity of the Measure States in a Branching Model with Catalysts. In: Çinlar, E., Fitzsimmons, P.J., Williams, R.J. (eds) Seminar on Stochastic Processes, 1990. Progress in Probability, vol 24. Birkhäuser, Boston, MA. https://doi.org/10.1007/978-1-4684-0562-0_5

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  • DOI: https://doi.org/10.1007/978-1-4684-0562-0_5

  • Publisher Name: Birkhäuser, Boston, MA

  • Print ISBN: 978-0-8176-3488-9

  • Online ISBN: 978-1-4684-0562-0

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