TY - JOUR
T1 - Superdiffusions with super-exponential growth
T2 - Construction, mass and spread
AU - Chen, Zhen Qing
AU - Engländer, János
N1 - Publisher Copyright:
© Association des Publications de l'Institut Henri Poincaré, 2020
PY - 2020/8
Y1 - 2020/8
N2 - Superdiffusions corresponding to differential operators of the form Lu + βu − αu2 with mass creation (potential) terms β(·) that are 'large functions' are studied. Our construction for superdiffusions with large mass creations works for the branching mechanism βu − αu1+γ , 0 < γ < 1, as well. Let D ⊆ Rd be a domain in Rd. When β is large, the generalized principal eigenvalue λc of L + β in D is typically infinite. Let {Tt, t ≥ 0} denote the Schrödinger semigroup of L + β in D with zero Dirichlet boundary condition. Under the mild assumption that there exists an 0 < h ∈ C2(D) so that Tth is finite-valued for all t ≥ 0, we show that there is a unique Mloc(D)-valued Markov process that satisfies a log-Laplace equation in terms of the minimal nonnegative solution to a semilinear initial value problem. Although for super-Brownian motion (SBM) this assumption requires β to be less than quadratic, the quadratic case will be treated as well. When λc = ∞, the usual machinery, including martingale methods and PDE as well as other similar techniques cease to work effectively, both for the construction and for the investigation of the large time behavior of superdiffusions. In this paper, we develop the following two new techniques for the study of the local/global growth of mass and for the spread of superdiffusions: • a generalization of the Fleischmann-Swart 'Poisson-coupling,' linking superprocesses with branching diffusions; • the introduction of a new concept: the 'p-generalized principal eigenvalue.' The precise growth rate for the total population of SBM with α(x) = β(x) = 1 + |x|p for p ∈ [0, 2] is given in this paper.
AB - Superdiffusions corresponding to differential operators of the form Lu + βu − αu2 with mass creation (potential) terms β(·) that are 'large functions' are studied. Our construction for superdiffusions with large mass creations works for the branching mechanism βu − αu1+γ , 0 < γ < 1, as well. Let D ⊆ Rd be a domain in Rd. When β is large, the generalized principal eigenvalue λc of L + β in D is typically infinite. Let {Tt, t ≥ 0} denote the Schrödinger semigroup of L + β in D with zero Dirichlet boundary condition. Under the mild assumption that there exists an 0 < h ∈ C2(D) so that Tth is finite-valued for all t ≥ 0, we show that there is a unique Mloc(D)-valued Markov process that satisfies a log-Laplace equation in terms of the minimal nonnegative solution to a semilinear initial value problem. Although for super-Brownian motion (SBM) this assumption requires β to be less than quadratic, the quadratic case will be treated as well. When λc = ∞, the usual machinery, including martingale methods and PDE as well as other similar techniques cease to work effectively, both for the construction and for the investigation of the large time behavior of superdiffusions. In this paper, we develop the following two new techniques for the study of the local/global growth of mass and for the spread of superdiffusions: • a generalization of the Fleischmann-Swart 'Poisson-coupling,' linking superprocesses with branching diffusions; • the introduction of a new concept: the 'p-generalized principal eigenvalue.' The precise growth rate for the total population of SBM with α(x) = β(x) = 1 + |x|p for p ∈ [0, 2] is given in this paper.
KW - Generalized principal eigenvalue
KW - Nonlinear h-transform
KW - P-generalized principal eigenvalue
KW - Poisson-coupling
KW - Semi-orbit
KW - Spatial branching processes
KW - Super-Brownian motion
KW - Super-exponential growth
KW - Superdiffusion
KW - Weighted superprocess
UR - http://www.scopus.com/inward/record.url?scp=85091155979&partnerID=8YFLogxK
U2 - 10.1214/19-AIHP1018
DO - 10.1214/19-AIHP1018
M3 - Article
AN - SCOPUS:85091155979
SN - 0246-0203
VL - 56
SP - 1809
EP - 1840
JO - Annales de l'institut Henri Poincare (B) Probability and Statistics
JF - Annales de l'institut Henri Poincare (B) Probability and Statistics
IS - 3
ER -