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Functional central limit theorem for superdiffusive SDEs with stable noise

Aleksandar Mijatović, Andrey Pilipenko, Isao Sauzedde

Abstract

This paper establishes a functional stable central limit theorem for a class of superdiffusive solutions to stochastic differential equations driven by an $α$-stable process.

Functional central limit theorem for superdiffusive SDEs with stable noise

Abstract

This paper establishes a functional stable central limit theorem for a class of superdiffusive solutions to stochastic differential equations driven by an -stable process.
Paper Structure (7 sections, 10 theorems, 66 equations)

This paper contains 7 sections, 10 theorems, 66 equations.

Key Result

Theorem 1.1

Let $\beta\in(1-\alpha, \frac{1}{1+\alpha})$. Assume $f$ is a $\mathcal{C}^1$ function such that $(\ln(f))'(x)=O(1/x)$ and $f(x)=a x^\beta +o(x^{\beta-r})$, with $r=(\alpha+\beta-1)/\alpha$, as $x\to \infty$. If in addition eq:assumption holds, then, as $\lambda\to \infty$, and the convergence is in distribution in the space of càdlàg functions (endowed with the topology of local uniform converge

Theorems & Definitions (19)

  • Theorem 1.1
  • Lemma 2.1
  • proof
  • Lemma 2.2
  • proof
  • Lemma 2.3
  • proof
  • Lemma 2.4
  • proof
  • Corollary 2.5
  • ...and 9 more