TY - JOUR
T1 - On solving SDEs with linear coefficients and application to stochastic epidemic models
AU - El-Khatib, Youssef
AU - Al-Mdallal, Qasem M.
N1 - Publisher Copyright:
© 2022, DergiPark. All rights reserved.
PY - 2022
Y1 - 2022
N2 - Stochastic Differential Equations (SDEs) are extensively utilized to model numerous physical quantities from different fields. In particular, linear SDEs are used in epidemic modeling. It is crucial to ensure the positivity of several quantities in an epidemic model. Numerous articles on this topic proves the positivity of SDEs solutions using probabilistic tools, such as in Theorem 3.1 of [10]. In this work, we suggest an alternative way to show the positivity of the solutions. The proposed approach is based on finding solutions to linear SDEs using Itô formula. We comment on several examples of stochastic epidemic models existing in the literature.
AB - Stochastic Differential Equations (SDEs) are extensively utilized to model numerous physical quantities from different fields. In particular, linear SDEs are used in epidemic modeling. It is crucial to ensure the positivity of several quantities in an epidemic model. Numerous articles on this topic proves the positivity of SDEs solutions using probabilistic tools, such as in Theorem 3.1 of [10]. In this work, we suggest an alternative way to show the positivity of the solutions. The proposed approach is based on finding solutions to linear SDEs using Itô formula. We comment on several examples of stochastic epidemic models existing in the literature.
KW - Epidemic models
KW - Stochastic differential equations
KW - Stochastic epidemic models
UR - http://www.scopus.com/inward/record.url?scp=85133895841&partnerID=8YFLogxK
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U2 - 10.31197/atnaa.948300
DO - 10.31197/atnaa.948300
M3 - Article
AN - SCOPUS:85133895841
SN - 2587-2648
VL - 6
SP - 280
EP - 286
JO - Advances in the Theory of Nonlinear Analysis and its Applications
JF - Advances in the Theory of Nonlinear Analysis and its Applications
IS - 2
ER -