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ON THE CONVERGENCE OF DISCRETE PROCESSES WITH MULTIPLE INDEPENDENT VARIABLES

Published online by Cambridge University Press:  06 March 2017

N. ISHIMURA*
Affiliation:
Faculty of Commerce, Chuo University, Hachioji, Tokyo 192-0393, Japan email naoyuki@tamacc.chuo-u.ac.jp
N. YOSHIDA
Affiliation:
Graduate School of Economics, Hitotsubashi University, Tokyo 186-8601, Japan email ed141003@g.hit-u.ac.jp
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Abstract

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We discuss discrete stochastic processes with two independent variables: one is the standard symmetric random walk, and the other is the Poisson process. Convergence of discrete stochastic processes is analysed, such that the symmetric random walk tends to the standard Brownian motion. We show that a discrete analogue of Ito’s formula converges to the corresponding continuous formula.

Type
Research Article
Copyright
© 2017 Australian Mathematical Society 

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