• Title/Summary/Keyword: Countable allelic model

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THE APPLICATION OF STOCHASTIC ANALYSIS TO COUNTABLE ALLELIC DIFFUSION MODEL

  • Choi, Won
    • Bulletin of the Korean Mathematical Society
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    • v.41 no.2
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    • pp.337-345
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    • 2004
  • In allelic model X = ($\chi_1\chi$_2ㆍㆍㆍ, \chi_d$), M_f(t) = f(p(t)) - ${{\int^t}_0}\;Lf(p(t))ds$ is a P-martingale for diffusion operator L under the certain conditions. In this note, we can show existence and uniqueness of solution for stochastic differential equation and martingale problem associated with mean vector. Also, we examine that if the operator related to this martingale problem is connected with Markov processes under certain circumstance, then this operator must satisfy the maximum principle.

THE APPLICATION OF STOCHASTIC ANALYSIS TO POPULATION GENETICS MODEL

  • Choi, Won
    • Journal of applied mathematics & informatics
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    • v.23 no.1_2
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    • pp.455-460
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    • 2007
  • In allelic model $X=(x_1,\;x_2,\;{\cdots},\;x_d)$, $$M_f(t)=f(p(t))-{\int}_0^t\;Lf(p(t))ds$$ is a P-martingale for diffusion operator L under the certain conditions. In this note, we try to apply diffusion processes for countable-allelic model in population genetic model and we can define a new diffusion operator $L^*$. Since the martingale problem for this operator $L^*$ is related to diffusion processes, we can define a integral which is combined with operator $L^*$ and a bilinar form $<{\cdot},{\cdot}>$. We can find properties for this integral using maximum principle.

ON THE DIFFUSION PROCESSES AND THEIR APPLICATIONS IN POPULATION GENETICS

  • Choi, Won;Lee, Byung-Kwon
    • Journal of applied mathematics & informatics
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    • v.15 no.1_2
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    • pp.415-423
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    • 2004
  • In allelic model X = ($x_1,\;x_2,...x_{d}$), $M_f(t)$= f(p(t)) - ${{\int}^{t}}_0$Lf(p(t))ds is a P-martingale for diffusion operator L under the certain conditions. In this note, we can show uniqueness of martingale problem associated with mean vector and obtain a complete description of ergodic property by using of the semigroup method.

ON THE MARTINGALE PROBLEM AND SYMMETRIC DIFFUSION IN POPULATION GENETICS

  • Choi, Won;Joung, Yoo-Jung
    • Journal of applied mathematics & informatics
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    • v.28 no.3_4
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    • pp.1003-1008
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    • 2010
  • In allelic model $X\;=\;(x_1,\;x_2,\;\cdots,\;x_d)$, $$M_f(t)\;=\;f(p(t))\;-\;\int_0^t\;Lf(p(t))ds$$ is a P-martingale for diffusion operator L under the certain conditions. In this note, we define $T_tf\;=\;E_{p_0}^{p^*}\;[f((P(t))]$ for $t\;{\geq}\;0$ for using a new diffusion operator $L^*$ and we show the diffusion relations between $T_t$ and diffusion operator $L^*$.