A new approach is provided to the (critical continuous) super-Brownian motion X in R with a single point-catalyst δc as branching rate. We start from a superprocess U with constant branching rate and spatial motion given by the stable subordinator with index 1/2. We prove that the total occupation time measure ∫0∞ ds Us of U is distributed as the occupation density measure λc of X at the catalyst c. This result is a superprocess analogue of the classical fact that the set of zeros of a linear Brownian motion is the range of a stable subordinator with index 1/2. We then show that the value Xt of the process X at time t is determined from the measure λc by an explicit representation formula. On a heuristic level, this formula says that a mass...
Consider the catalytic super-Brownian motion Xϱ (reactant) in ℝd, d ≤ 3, which branching rates vary ...
We construct a catalytic super process X (measure-valued spatial branching process) where the local ...
Consider a catalytic super-Brownian motion X=X"#GAMMA# with finite variance branching. Here 'ca...
A new approach is provided to the (critical continuous) super-Brownian motion X in R with a single p...
A new approach is provided to the super-Brownian motionX with a single point-catalyst δ c as branchi...
AbstractA one-dimensional continuous measure-valued branching process {Ht;t ⩾ } is discussed, where ...
AbstractA one-dimensional continuous measure-valued branching process {Ht;t ⩾ } is discussed, where ...
In a one-dimensional single point-catalytic continuous super-Brownian motion studied by Dawson and F...
A one-dimensional continuous measure-valued branching process {Ht;t ≥ } is discussed, where branchin...
Consider a catalytic super-Brownian motion X = XΓ with finite variance branching. Here "catalytic" m...
A continuous super-Brownian motion #CHI#"#rho# is constructed in which branching occurs only in...
Given an (ordinary) super-Brownian motion (SBM) ϱ on Rd of dimension d = 2, 3, we consider a (cataly...
AbstractClassical super-Brownian motion (SBM) is known to take values in the space of absolutely con...
A continuous super-Brownian motion XQ is constructed in which branching occurs only in the presen...
The model under consideration is a catalytic branching model constructed in [DF96], where the cataly...
Consider the catalytic super-Brownian motion Xϱ (reactant) in ℝd, d ≤ 3, which branching rates vary ...
We construct a catalytic super process X (measure-valued spatial branching process) where the local ...
Consider a catalytic super-Brownian motion X=X"#GAMMA# with finite variance branching. Here 'ca...
A new approach is provided to the (critical continuous) super-Brownian motion X in R with a single p...
A new approach is provided to the super-Brownian motionX with a single point-catalyst δ c as branchi...
AbstractA one-dimensional continuous measure-valued branching process {Ht;t ⩾ } is discussed, where ...
AbstractA one-dimensional continuous measure-valued branching process {Ht;t ⩾ } is discussed, where ...
In a one-dimensional single point-catalytic continuous super-Brownian motion studied by Dawson and F...
A one-dimensional continuous measure-valued branching process {Ht;t ≥ } is discussed, where branchin...
Consider a catalytic super-Brownian motion X = XΓ with finite variance branching. Here "catalytic" m...
A continuous super-Brownian motion #CHI#"#rho# is constructed in which branching occurs only in...
Given an (ordinary) super-Brownian motion (SBM) ϱ on Rd of dimension d = 2, 3, we consider a (cataly...
AbstractClassical super-Brownian motion (SBM) is known to take values in the space of absolutely con...
A continuous super-Brownian motion XQ is constructed in which branching occurs only in the presen...
The model under consideration is a catalytic branching model constructed in [DF96], where the cataly...
Consider the catalytic super-Brownian motion Xϱ (reactant) in ℝd, d ≤ 3, which branching rates vary ...
We construct a catalytic super process X (measure-valued spatial branching process) where the local ...
Consider a catalytic super-Brownian motion X=X"#GAMMA# with finite variance branching. Here 'ca...