Limit theorems for additive functionals of stochastic functional differential equations with infinite delay (Q2054019)

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scientific article; zbMATH DE number 7436217
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Limit theorems for additive functionals of stochastic functional differential equations with infinite delay
scientific article; zbMATH DE number 7436217

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    Limit theorems for additive functionals of stochastic functional differential equations with infinite delay (English)
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    30 November 2021
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    For a given \(r > 0\), define \({C_r} = \{ \phi \in C(( - \infty ,0];{\mathbb R^d}):\mathop {\sup }\limits_{ - \infty < \theta \le 0} {e^{r\theta }}\left| {\phi (\theta )} \right| < \infty \} \) with norm \({\left\| \phi \right\|_r} = \mathop {\sup }\limits_{ - \infty < \theta \le 0} {e^{r\theta }}\left| {\phi (\theta )} \right|\), where \(C(( - \infty ,0];{\mathbb R^d})\) denotes the family of continuous functions from \(( - \infty ,0]\) to \({\mathbb R^d}\). Choosing \({C_r}\) as the phase space, the paper considers the stochastic functional differential equations (SFDEs) with infinite delay \(dX(t) = b({X_t})dt + \sigma ({X_t})dW(t),{X_0} = \xi \in {C_r}\), where \(b:{C_r} \to {\mathbb R^d}\) and \(\sigma :{C_r} \to {\mathbb R^{d \times m}}\) are continuous functionals, \(W(t)\) is an \(m\)-dimensional Wiener process on a compete filtered probability space and \({X_t}(\theta ):\theta \mapsto X(t + \theta ) \in {\mathbb R^d},\theta \in ( - \infty ,0]\) denotes the segment process. The paper aims to investigate the large-time behavior of the functional \({t^{ - 1}}\int_0^t {f({X_s}(\xi )ds} \) as \(t \to \infty \). It establishes the strong law of large numbers and the central limit theorem for SFDEs with non-Lipschitz coefficients and infinite delay. The paper also establishes the law of iterated logarithm for SFDEs with infinite delays under some dissipative condition.
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    stochastic functional differential equations with infinite delay
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    non-Lipschitz conditions
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    strong law of large numbers
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    central limit theorem
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    law of the iterated logarithm
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