12th Education and Training in Optics and Photonics Conference 2014
DOI: 10.1117/12.2070777
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Numerical simulation of optically trapped particles

Abstract: Some randomness is present in most phenomena, ranging from biomolecules and nanodevices to financial markets and human organizations. However, it is not easy to gain an intuitive understanding of such stochastic phenomena, because their modeling requires advanced mathematical tools, such as sigma algebras, the Itô formula and martingales. Here, we discuss a simple finite difference algorithm that can be used to gain understanding of such complex physical phenomena. In particular, we simulate the motion of an o… Show more

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Cited by 2 publications
(3 citation statements)
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“…11. The Brownian motion is given by the generalized differential equation (Volpe and Volpe, 2013;Amari et al, 2013Amari et al, , 2014…”
Section: Receiving Aperture Modelmentioning
confidence: 99%
See 1 more Smart Citation
“…11. The Brownian motion is given by the generalized differential equation (Volpe and Volpe, 2013;Amari et al, 2013Amari et al, , 2014…”
Section: Receiving Aperture Modelmentioning
confidence: 99%
“…The discrete-time state space of the receiving aperture model is derived from the discretized particle Brownian motion (5). It is given as follows (Volpe and Volpe, 2013;Amari et al, 2013Amari et al, , 2014)…”
Section: Receiving Aperture Modelmentioning
confidence: 99%
“…The discrete-time state space of the receiving aperture model ( 3) is derived from the discretized particle Brownian motion (15). It is given as follows [14], [29], [30] x…”
Section: Numerical Simulationsmentioning
confidence: 99%