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Semidefinite approximations of invariant measures for polynomial systems

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F19%3A00334317" target="_blank" >RIV/68407700:21230/19:00334317 - isvavai.cz</a>

  • Výsledek na webu

    <a href="https://doi.org/10.3934/dcdsb.2019165" target="_blank" >https://doi.org/10.3934/dcdsb.2019165</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3934/dcdsb.2019165" target="_blank" >10.3934/dcdsb.2019165</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Semidefinite approximations of invariant measures for polynomial systems

  • Popis výsledku v původním jazyce

    We consider the problem of approximating numerically the moments and the supports of measures which are invariant with respect to the dynamics of continuous- and discrete-time polynomial systems, under semialgebraic set constraints. First, we address the problem of approximating the density and hence the support of an invariant measure which is absolutely continuous with respect to the Lebesgue measure. Then, we focus on the approximation of the support of an invariant measure which is singular with respect to the Lebesgue measure. Each problem is handled through an appropriate reformulation into a conic optimization problem over measures, solved in practice with two hierarchies of finite-dimensional semidefinite moment-sum-of-square relaxations, also called Lasserre hierarchies.Under specific assumptions, the first Lasserre hierarchy allows to approximate the moments of an absolutely continuous invariant measure as close as desired and to extract a sequence of polynomials converging weakly to the density of this measure.The second Lasserre hierarchy allows to approximate as close as desired in the Hausdorff metric the support of a singular invariant measure with the level sets of the Christoffel polynomials associated to the moment matrices of this measure.We also present some application examples together with numerical results for several dynamical systems admitting either absolutely continuous or singular invariant measures.

  • Název v anglickém jazyce

    Semidefinite approximations of invariant measures for polynomial systems

  • Popis výsledku anglicky

    We consider the problem of approximating numerically the moments and the supports of measures which are invariant with respect to the dynamics of continuous- and discrete-time polynomial systems, under semialgebraic set constraints. First, we address the problem of approximating the density and hence the support of an invariant measure which is absolutely continuous with respect to the Lebesgue measure. Then, we focus on the approximation of the support of an invariant measure which is singular with respect to the Lebesgue measure. Each problem is handled through an appropriate reformulation into a conic optimization problem over measures, solved in practice with two hierarchies of finite-dimensional semidefinite moment-sum-of-square relaxations, also called Lasserre hierarchies.Under specific assumptions, the first Lasserre hierarchy allows to approximate the moments of an absolutely continuous invariant measure as close as desired and to extract a sequence of polynomials converging weakly to the density of this measure.The second Lasserre hierarchy allows to approximate as close as desired in the Hausdorff metric the support of a singular invariant measure with the level sets of the Christoffel polynomials associated to the moment matrices of this measure.We also present some application examples together with numerical results for several dynamical systems admitting either absolutely continuous or singular invariant measures.

Klasifikace

  • Druh

    J<sub>imp</sub> - Článek v periodiku v databázi Web of Science

  • CEP obor

  • OECD FORD obor

    10102 - Applied mathematics

Návaznosti výsledku

  • Projekt

  • Návaznosti

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Ostatní

  • Rok uplatnění

    2019

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Údaje specifické pro druh výsledku

  • Název periodika

    Discrete and Continuous Dynamical Systems - B

  • ISSN

    1531-3492

  • e-ISSN

    1553-524X

  • Svazek periodika

    24

  • Číslo periodika v rámci svazku

    12

  • Stát vydavatele periodika

    US - Spojené státy americké

  • Počet stran výsledku

    26

  • Strana od-do

    6745-6770

  • Kód UT WoS článku

    000484545100021

  • EID výsledku v databázi Scopus

    2-s2.0-85072559809