Abel-Gontcharoff polynomials, parking trajectories and ruin probabilities

The central mathematical tool discussed is a non-standard family of polynomials, univariate and bivariate, called Abel-Goncharoff polynomials. First, we briefly summarize the main properties of this family of polynomials obtained in the previous work. Then, we extend the remarkable links existing be...

Full description

Bibliographic Details
Main Authors: Lefèvre Claude, Picard Philippe
Format: Article
Language:English
Published: De Gruyter 2023-11-01
Series:Dependence Modeling
Subjects:
Online Access:https://doi.org/10.1515/demo-2023-0107
_version_ 1797405107679133696
author Lefèvre Claude
Picard Philippe
author_facet Lefèvre Claude
Picard Philippe
author_sort Lefèvre Claude
collection DOAJ
description The central mathematical tool discussed is a non-standard family of polynomials, univariate and bivariate, called Abel-Goncharoff polynomials. First, we briefly summarize the main properties of this family of polynomials obtained in the previous work. Then, we extend the remarkable links existing between these polynomials and the parking functions which are a classic object in combinatorics and computer science. Finally, we use the polynomials to determine the non-ruin probabilities over a finite horizon for a bivariate risk process, in discrete and continuous time, assuming that claim amounts are dependent via a partial Schur-constancy property.
first_indexed 2024-03-09T03:05:57Z
format Article
id doaj.art-67b82a141b294fb9bdcb184c4fa9f1a7
institution Directory Open Access Journal
issn 2300-2298
language English
last_indexed 2024-03-09T03:05:57Z
publishDate 2023-11-01
publisher De Gruyter
record_format Article
series Dependence Modeling
spelling doaj.art-67b82a141b294fb9bdcb184c4fa9f1a72023-12-04T07:59:29ZengDe GruyterDependence Modeling2300-22982023-11-0111112110.1515/demo-2023-0107Abel-Gontcharoff polynomials, parking trajectories and ruin probabilitiesLefèvre Claude0Picard Philippe1Département de Mathématique, Université Libre de Bruxelles, Campus de la Plaine C.P. 210, B-1050 Bruxelles, BelgiumUniversité de Lyon 1, Institut de Science Financière et d’Assurances, 50 avenue Tony Garnier, F-69366 Lyon Ceeedex 07, FranceThe central mathematical tool discussed is a non-standard family of polynomials, univariate and bivariate, called Abel-Goncharoff polynomials. First, we briefly summarize the main properties of this family of polynomials obtained in the previous work. Then, we extend the remarkable links existing between these polynomials and the parking functions which are a classic object in combinatorics and computer science. Finally, we use the polynomials to determine the non-ruin probabilities over a finite horizon for a bivariate risk process, in discrete and continuous time, assuming that claim amounts are dependent via a partial Schur-constancy property.https://doi.org/10.1515/demo-2023-0107remarkable polynomialsparking functionsruin probabilitypartial schur-constancy26c0505a9991b30
spellingShingle Lefèvre Claude
Picard Philippe
Abel-Gontcharoff polynomials, parking trajectories and ruin probabilities
Dependence Modeling
remarkable polynomials
parking functions
ruin probability
partial schur-constancy
26c05
05a99
91b30
title Abel-Gontcharoff polynomials, parking trajectories and ruin probabilities
title_full Abel-Gontcharoff polynomials, parking trajectories and ruin probabilities
title_fullStr Abel-Gontcharoff polynomials, parking trajectories and ruin probabilities
title_full_unstemmed Abel-Gontcharoff polynomials, parking trajectories and ruin probabilities
title_short Abel-Gontcharoff polynomials, parking trajectories and ruin probabilities
title_sort abel gontcharoff polynomials parking trajectories and ruin probabilities
topic remarkable polynomials
parking functions
ruin probability
partial schur-constancy
26c05
05a99
91b30
url https://doi.org/10.1515/demo-2023-0107
work_keys_str_mv AT lefevreclaude abelgontcharoffpolynomialsparkingtrajectoriesandruinprobabilities
AT picardphilippe abelgontcharoffpolynomialsparkingtrajectoriesandruinprobabilities