دورية أكاديمية

Higher strong order methods for linear Itô SDEs on matrix Lie groups.

التفاصيل البيبلوغرافية
العنوان: Higher strong order methods for linear Itô SDEs on matrix Lie groups.
المؤلفون: Muniz, Michelle, Ehrhardt, Matthias, Günther, Michael, Winkler, Renate
المصدر: BIT: Numerical Mathematics; Dec2022, Vol. 62 Issue 4, p1095-1119, 25p
مصطلحات موضوعية: LINEAR orderings, ORDINARY differential equations, STOCHASTIC orders, FINANCIAL engineering, SET theory
مستخلص: In this paper we present a general procedure for designing higher strong order methods for linear Itô stochastic differential equations on matrix Lie groups and illustrate this strategy with two novel schemes that have a strong convergence order of 1.5. Based on the Runge–Kutta–Munthe–Kaas (RKMK) method for ordinary differential equations on Lie groups, we present a stochastic version of this scheme and derive a condition such that the stochastic RKMK has the same strong convergence order as the underlying stochastic Runge–Kutta method. Further, we show how our higher order schemes can be applied in a mechanical engineering as well as in a financial mathematics setting. [ABSTRACT FROM AUTHOR]
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قاعدة البيانات: Complementary Index
الوصف
تدمد:00063835
DOI:10.1007/s10543-021-00905-9