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The Itô integral with respect to an infinite dimensional Lévy process: A series approach

Stefan Tappe

TL;DR

The paper addresses constructing the Itô integral with respect to infinite-dimensional Lévy processes in a Hilbert space by a series-based approach that reduces the problem to real-valued Itô integrals. It introduces a layered construction: first with a real-valued martingale, then a sequence of standard Lévy processes, then a weighted $\ell_\lambda^2$-valued Lévy process, and finally arbitrary $U$-valued Lévy processes via isometric representations; it proves basis-independence, Itô isometry, and equivalence to the classical Itô integral, and shows consistency across the different spectral decompositions. The method unifies finite- and infinite-dimensional Itô calculus and provides a practical framework for deriving stochastic integrals with complex Hilbert-space-valued Lévy drivers. This series-approach facilitates teaching and leverages finite-dimensional results to address infinite-dimensional stochastic integration problems.

Abstract

We present an alternative construction of the infinite dimensional Itô integral with respect to a Hilbert space valued Lévy process. This approach is based on the well-known theory of real-valued stochastic integration, and the respective Itô integral is given by a series of Itô integrals with respect to standard Lévy processes. We also prove that this stochastic integral coincides with the Itô integral that has been developed in the literature.

The Itô integral with respect to an infinite dimensional Lévy process: A series approach

TL;DR

The paper addresses constructing the Itô integral with respect to infinite-dimensional Lévy processes in a Hilbert space by a series-based approach that reduces the problem to real-valued Itô integrals. It introduces a layered construction: first with a real-valued martingale, then a sequence of standard Lévy processes, then a weighted -valued Lévy process, and finally arbitrary -valued Lévy processes via isometric representations; it proves basis-independence, Itô isometry, and equivalence to the classical Itô integral, and shows consistency across the different spectral decompositions. The method unifies finite- and infinite-dimensional Itô calculus and provides a practical framework for deriving stochastic integrals with complex Hilbert-space-valued Lévy drivers. This series-approach facilitates teaching and leverages finite-dimensional results to address infinite-dimensional stochastic integration problems.

Abstract

We present an alternative construction of the infinite dimensional Itô integral with respect to a Hilbert space valued Lévy process. This approach is based on the well-known theory of real-valued stochastic integration, and the respective Itô integral is given by a series of Itô integrals with respect to standard Lévy processes. We also prove that this stochastic integral coincides with the Itô integral that has been developed in the literature.

Paper Structure

This paper contains 7 sections, 21 theorems, 126 equations.

Key Result

Lemma 2.3

Let $p \geq 1$ be arbitrary. Then, the following statements are true:

Theorems & Definitions (56)

  • Definition 2.1
  • Remark 2.2
  • Lemma 2.3
  • proof
  • Lemma 2.4
  • proof
  • Proposition 3.1
  • proof
  • Definition 3.2
  • Remark 3.3
  • ...and 46 more