Let (sigma_{Pi}, b_{Pi} in mathcal{S}_{T}) which approximate (sigma, b in mathcal{L}_{T}^{2}) as (|Pi| ightarrow 0), and consider
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Let \(\sigma_{\Pi}, b_{\Pi} \in \mathcal{S}_{T}\) which approximate \(\sigma, b \in \mathcal{L}_{T}^{2}\) as \(|\Pi| ightarrow 0\), and consider the Itô processes \(X_{t}^{\Pi}=X_{0}+\int_{0}^{t} \sigma_{\Pi}(s) d B_{s}+\int_{0}^{t} b_{\Pi}(s) d s\) and \(X_{t}=X_{0}+\int_{0}^{t} \sigma(s) d B_{s}+\int_{0}^{t} b(s) d s\). Adapt the proof of Lemma 18.5 to show that
\[\int_{0}^{T} g\left(X_{s}^{\Pi}ight) d X_{s}^{\Pi} \xrightarrow[|\Pi| ightarrow 0]{\mathbb{P}} \int_{0}^{T} g\left(X_{s}ight) d X_{s} \quad \text { for all } g \in \mathcal{C}_{b}(\mathbb{R})\]
Data From Leema 18.5
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Brownian Motion A Guide To Random Processes And Stochastic Calculus De Gruyter Textbook
ISBN: 9783110741254
3rd Edition
Authors: René L. Schilling, Björn Böttcher
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