Convergence of numerical solution of stochastic differential equation for the self-thinning process

For theoretical and practical analysis of the self-thinning process we use stochastic differential equation, which take the form: dN (t) = N (t) (α - β ln N (t))dt + μN (t)dW (t), N(t0) = N0, t0 ≤ t ≤ T, where N – tree per hectare (stem/ha), t – stand age, W(t) – scalar standard Brownian motion...

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Main Author: Petras Rupšys
Format: Article
Language:English
Published: Vilnius University Press 2002-12-01
Series:Lietuvos Matematikos Rinkinys
Online Access:https://www.zurnalai.vu.lt/LMR/article/view/32840
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author Petras Rupšys
author_facet Petras Rupšys
author_sort Petras Rupšys
collection DOAJ
description For theoretical and practical analysis of the self-thinning process we use stochastic differential equation, which take the form: dN (t) = N (t) (α - β ln N (t))dt + μN (t)dW (t), N(t0) = N0, t0 ≤ t ≤ T, where N – tree per hectare (stem/ha), t – stand age, W(t) – scalar standard Brownian motion, N0 – not random, α, β and μ are parameters – real constants. In this paper from a practical viewpoint we apply a simple numerical method for solution of the stochastic differential equations by the Milstein's higher order method. The programs for numerical simulation are written on MAPLE. The convergence of this model is explored too.
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spelling doaj.art-ea664f2f78084066bf80c503abd7eca72024-04-22T09:04:18ZengVilnius University PressLietuvos Matematikos Rinkinys0132-28182335-898X2002-12-0142spec.10.15388/LMR.2002.32840Convergence of numerical solution of stochastic differential equation for the self-thinning processPetras Rupšys0Lithuanian Academy of Agriculture For theoretical and practical analysis of the self-thinning process we use stochastic differential equation, which take the form: dN (t) = N (t) (α - β ln N (t))dt + μN (t)dW (t), N(t0) = N0, t0 ≤ t ≤ T, where N – tree per hectare (stem/ha), t – stand age, W(t) – scalar standard Brownian motion, N0 – not random, α, β and μ are parameters – real constants. In this paper from a practical viewpoint we apply a simple numerical method for solution of the stochastic differential equations by the Milstein's higher order method. The programs for numerical simulation are written on MAPLE. The convergence of this model is explored too. https://www.zurnalai.vu.lt/LMR/article/view/32840
spellingShingle Petras Rupšys
Convergence of numerical solution of stochastic differential equation for the self-thinning process
Lietuvos Matematikos Rinkinys
title Convergence of numerical solution of stochastic differential equation for the self-thinning process
title_full Convergence of numerical solution of stochastic differential equation for the self-thinning process
title_fullStr Convergence of numerical solution of stochastic differential equation for the self-thinning process
title_full_unstemmed Convergence of numerical solution of stochastic differential equation for the self-thinning process
title_short Convergence of numerical solution of stochastic differential equation for the self-thinning process
title_sort convergence of numerical solution of stochastic differential equation for the self thinning process
url https://www.zurnalai.vu.lt/LMR/article/view/32840
work_keys_str_mv AT petrasrupsys convergenceofnumericalsolutionofstochasticdifferentialequationfortheselfthinningprocess