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Affine realizations with affine state processes for stochastic partial differential equations

Stefan Tappe

TL;DR

The paper characterizes when semilinear SPDEs with an affine realization admit affine and admissible finite-dimensional state processes by developing an invariant-foliation framework and tangential conditions that decompose the SPDE into a low-dimensional SDE for the state. It establishes necessary and sufficient conditions (including drift-structure α=Sσ^2) for the existence of affine realizations, and constructs maximal sets of initial points from which such realizations can be built. The HJMM forward-rate equation is treated in depth, with explicit one- and two-dimensional realizations and maximal initial-curve sets; the results extend to linear SPDEs and yield concrete examples from natural sciences. Overall, the work provides a rigorous, usable criterion set for obtaining tractable finite-dimensional affine models inside infinite-dimensional SPDEs, with direct relevance to interest-rate modeling and other applied domains.

Abstract

The goal of this paper is to clarify when a stochastic partial differential equation with an affine realization admits affine state processes. This includes a characterization of the set of initial points of the realization. Several examples, as the HJMM equation from mathematical finance, illustrate our results.

Affine realizations with affine state processes for stochastic partial differential equations

TL;DR

The paper characterizes when semilinear SPDEs with an affine realization admit affine and admissible finite-dimensional state processes by developing an invariant-foliation framework and tangential conditions that decompose the SPDE into a low-dimensional SDE for the state. It establishes necessary and sufficient conditions (including drift-structure α=Sσ^2) for the existence of affine realizations, and constructs maximal sets of initial points from which such realizations can be built. The HJMM forward-rate equation is treated in depth, with explicit one- and two-dimensional realizations and maximal initial-curve sets; the results extend to linear SPDEs and yield concrete examples from natural sciences. Overall, the work provides a rigorous, usable criterion set for obtaining tractable finite-dimensional affine models inside infinite-dimensional SPDEs, with direct relevance to interest-rate modeling and other applied domains.

Abstract

The goal of this paper is to clarify when a stochastic partial differential equation with an affine realization admits affine state processes. This includes a characterization of the set of initial points of the realization. Several examples, as the HJMM equation from mathematical finance, illustrate our results.

Paper Structure

This paper contains 9 sections, 35 theorems, 124 equations.

Key Result

Proposition 2.7

The following statements are true:

Theorems & Definitions (108)

  • Remark 2.1
  • Definition 2.2
  • Remark 2.3
  • Definition 2.4
  • Definition 2.5
  • Definition 2.6
  • Proposition 2.7
  • proof
  • Definition 2.8
  • Definition 2.9
  • ...and 98 more