Suprema of Lévy processes with completely monotone jumps: Spectral-theoretic approach

We study spectral-theoretic properties of non-self-adjoint operators arising in the study of one-dimensional Lévy processes with completely monotone jumps with a one-sided barrier. With no further assumptions, we provide an integral expression for the bivariate Laplace transform of the transition density p_{t}^{+}(x, y) of the killed process in (0, \infty) , and under a minor regularity condition, a generalised eigenfunction expansion is given for the corresponding transition operator P_{t}^{+} . Assuming additionally appropriate growth of the characteristic exponent, we prove a generalised eigenfunction expansion of the transition density p_{t}^{+}(x, y) . Under similar conditions, we additionally show integral formulae for the cumulative distribution functions of the infimum and supremum functionals \underline{X}_{t} and \overline{X}_{t} . The class of processes covered by our results include many stable and stable-like Lévy processes, as well as many processes with Brownian components. Our results recover known expressions for the classical risk process, and provide similar integral formulae for some other simple examples of Lévy processes.

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Journal
Journal of Spectral Theory
Published
2025-03-05
DOI
https://doi.org/10.4171/jst/546
Primary Topic
Probability and Risk Models
Type
article
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article

Suprema of Lévy processes with completely monotone jumps: Spectral-theoretic approach

Mateusz Kwaśnicki
Journal of Spectral Theory
Probability and Risk Models
article

Suprema of Lévy processes with completely monotone jumps: Spectral-theoretic approach

Mateusz Kwaśnicki
article en

Abstract

We study spectral-theoretic properties of non-self-adjoint operators arising in the study of one-dimensional Lévy processes with completely monotone jumps with a one-sided barrier. With no further assumptions, we provide an integral expression for the bivariate Laplace transform of the transition density p_{t}^{+}(x, y) of the killed process in (0, \infty) , and under a minor regularity condition, a generalised eigenfunction expansion is given for the corresponding transition operator P_{t}^{+} . Assuming additionally appropriate growth of the characteristic exponent, we prove a generalised eigenfunction expansion of the transition density p_{t}^{+}(x, y) . Under similar conditions, we additionally show integral formulae for the cumulative distribution functions of the infimum and supremum functionals \underline{X}_{t} and \overline{X}_{t} . The class of processes covered by our results include many stable and stable-like Lévy processes, as well as many processes with Brownian components. Our results recover known expressions for the classical risk process, and provide similar integral formulae for some other simple examples of Lévy processes.

Journal of Spectral TheoryVol. 15(1)
Wrocław University of Science and Technology (PL), AGH University of Krakow (PL)
Openalex Percentile: Top 96%
Probability and Risk Models
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