Arbeitspapier

On lp-stability of numerical schemes for affine stochastic delay differential equations stochastic recurrance relations

Numerical solutions of SDDE often reflect to only a limited extent the exact solution behaviour. Hence it is necessary to identify those parameters of SDDE and algorithm for which a numerical method in use is reliable. For affine SDDE test equations, there exist estimates of the stability regions of a numerical method. However, these results rely on bounds for covariance terms. In this paper exact hut high dimensional stochastic affine (linear) recurrence relations are derived for some p > 1. A reduction method presented here allows the representation of the corresponding characteristic polynomial as a determinant of a matrix of polynomial coefficients and lower dimension. This can be used to compute non-zero coefficients of the characteristic polynomial for application to stability questions concerning SDDE. A number of areas where work is continuing is indicated.

Language
Englisch

Bibliographic citation
Series: SFB 373 Discussion Paper ; No. 2002,59

Classification
Wirtschaft
Subject
recurrence relation
stochastic recurrence relation
SDDE
SFDE
stochastic delay equations
numerical algorithms
stability
stability regions

Event
Geistige Schöpfung
(who)
Gilsing, Hagen
Event
Veröffentlichung
(who)
Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes
(where)
Berlin
(when)
2002

Handle
URN
urn:nbn:de:kobv:11-10049179
Last update
10.03.2025, 11:45 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Gilsing, Hagen
  • Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes

Time of origin

  • 2002

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