<p>Consider a sequence of cadlag processes <InlineEquation ID="IEq1"> <EquationSource Format="TEX">\(\{X^n\}_n\)</EquationSource> </InlineEquation>, and some fixed function <i>f</i>. If <i>f</i> is continuous then under several modes of convergence <InlineEquation ID="IEq2"> <EquationSource Format="TEX">\(X^n\rightarrow X\)</EquationSource> </InlineEquation> implies corresponding convergence of <InlineEquation ID="IEq3"> <EquationSource Format="TEX">\(f(X^n)\rightarrow f(X)\)</EquationSource> </InlineEquation>, due to continuous mapping. We study conditions (on <i>f</i>, <InlineEquation ID="IEq4"> <EquationSource Format="TEX">\(\{X^n\}_n\)</EquationSource> </InlineEquation> and <i>X</i>) under which convergence of <InlineEquation ID="IEq5"> <EquationSource Format="TEX">\(X^n\rightarrow X\)</EquationSource> </InlineEquation> implies <InlineEquation ID="IEq6"> <EquationSource Format="TEX">\(\left[ f(X^n)-f(X)\right] \rightarrow 0\)</EquationSource> </InlineEquation>. While interesting in its own right, this also directly relates (through integration by parts and the Kunita–Watanabe inequality) to convergence of integrators in the sense <InlineEquation ID="IEq7"> <EquationSource Format="TEX">\(\int _0^t Y_{s-}df(X^n_s)\rightarrow \int _0^t Y_{s-}df(X_s)\)</EquationSource> </InlineEquation>. We show stability when <InlineEquation ID="IEq8"> <EquationSource Format="TEX">\(f\in C^1\)</EquationSource> </InlineEquation>, <InlineEquation ID="IEq9"> <EquationSource Format="TEX">\(\{X^n\}_n,X\)</EquationSource> </InlineEquation> are Dirichlet processes defined as in Coquet et al. (J Theor Probab 16:197, 2023) <InlineEquation ID="IEq10"> <EquationSource Format="TEX">\(X^n\xrightarrow {a.s.}X\)</EquationSource> </InlineEquation>, <InlineEquation ID="IEq11"> <EquationSource Format="TEX">\([X^n-X]\xrightarrow {a.s.}0\)</EquationSource> </InlineEquation> and <InlineEquation ID="IEq12"> <EquationSource Format="TEX">\(\{(X^n)^*_t\}_n\)</EquationSource> </InlineEquation> is bounded in probability. We also relax the conditions on <i>f</i> to being the primitive function of a cadlag function but with the additional assumption on <i>X</i> and that the continuous and discontinuous parts of <i>X</i> are independent stochastic processes (this assumption is not imposed on <InlineEquation ID="IEq13"> <EquationSource Format="TEX">\(\{X^n\}_n\)</EquationSource> </InlineEquation> however). For this setting we prove a new Itô decomposition that is a refinement of the one found in Coquet et al. (2023).</p>

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Stability in quadratic variation

  • Philip Kennerberg,
  • Magnus Wiktorsson

摘要

Consider a sequence of cadlag processes \(\{X^n\}_n\) , and some fixed function f. If f is continuous then under several modes of convergence \(X^n\rightarrow X\) implies corresponding convergence of \(f(X^n)\rightarrow f(X)\) , due to continuous mapping. We study conditions (on f, \(\{X^n\}_n\) and X) under which convergence of \(X^n\rightarrow X\) implies \(\left[ f(X^n)-f(X)\right] \rightarrow 0\) . While interesting in its own right, this also directly relates (through integration by parts and the Kunita–Watanabe inequality) to convergence of integrators in the sense \(\int _0^t Y_{s-}df(X^n_s)\rightarrow \int _0^t Y_{s-}df(X_s)\) . We show stability when \(f\in C^1\) , \(\{X^n\}_n,X\) are Dirichlet processes defined as in Coquet et al. (J Theor Probab 16:197, 2023) \(X^n\xrightarrow {a.s.}X\) , \([X^n-X]\xrightarrow {a.s.}0\) and \(\{(X^n)^*_t\}_n\) is bounded in probability. We also relax the conditions on f to being the primitive function of a cadlag function but with the additional assumption on X and that the continuous and discontinuous parts of X are independent stochastic processes (this assumption is not imposed on \(\{X^n\}_n\) however). For this setting we prove a new Itô decomposition that is a refinement of the one found in Coquet et al. (2023).