2020
DOI: 10.48550/arxiv.2011.13378
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Two-sided immigration, emigration and symmetry properties of self-similar interval partition evolutions

Abstract: constructed (α, θ)-interval partition evolutions for α ∈ (0, 1) and θ ≥ 0, in which the total sums of interval lengths ("total mass") evolve as squared Bessel processes of dimension 2θ, where θ ≥ 0 acts as an immigration parameter. These evolutions have pseudo-stationary distributions related to regenerative Poisson-Dirichlet interval partitions. In this paper we study symmetry properties of (α, θ)-interval partition evolutions. Furthermore, we introduce a three-parameter family SSIP (α) (θ1, θ2) of self-simil… Show more

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Cited by 3 publications
(25 citation statements)
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“…The family K α,θ s , s≥0 is the transition semi-group of an I H -valued diffusion (β s , s≥0) that we call SSIPE(α, θ). This was further extended in [37,Definition 1.3] to a threeparameter family SSIPE (α) (θ 1 , θ 2 ), θ 1 , θ 2 ≥0, so that θ :=θ 1 +θ 2 −α≥−α. The time-change (4.1) ρ(t) = inf s ≥ 0 :…”
Section: • Proposition 23 Holds Bymentioning
confidence: 99%
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“…The family K α,θ s , s≥0 is the transition semi-group of an I H -valued diffusion (β s , s≥0) that we call SSIPE(α, θ). This was further extended in [37,Definition 1.3] to a threeparameter family SSIPE (α) (θ 1 , θ 2 ), θ 1 , θ 2 ≥0, so that θ :=θ 1 +θ 2 −α≥−α. The time-change (4.1) ρ(t) = inf s ≥ 0 :…”
Section: • Proposition 23 Holds Bymentioning
confidence: 99%
“…If β 0 = γ ∈ I H has total mass γ =1, we write (γ t , t≥0)∼PDIPE γ (α, θ), respectively PDIPE (α) γ (θ 1 , θ 2 ). We showed in [17, Theorems 1.3 and 1.6], [37,Theorem 1.4] and [38,Theorem 1.4], that all of these evolutions are interval partition diffusions, and that PDIPE(α, θ) and PDIPE (α) (θ 1 , θ 2 ) have PDIP(α, θ), respectively PDIP (α) (θ 1 , θ 2 ), as their stationary distribution. THEOREM 4.2.…”
Section: • Proposition 23 Holds Bymentioning
confidence: 99%
See 2 more Smart Citations
“…While most SSIP-evolutions have been constructed before [14,15,18,47], in increasing generality, Theorem 1.1 is the first scaling limit result with an SSIP-evolution as its limit. In special cases, this was conjectured in [44].…”
mentioning
confidence: 99%