Abstract:Introduction: Primary cutaneous gamma-delta T cell lymphoma (CGD-TCL) is a rare form of cutaneous T cell lymphoma (CTCL) associated with a poor prognosis and recently categorized with peripheral T cell lymphomas of the skin.Case presentation: A 65-year-old Caucasian female presented for evaluation of ''nodules'' on her lower extremities. In 2012, she developed tender, pruritic nodules in her right calf with additional lesions appearing over the next several months. On examination there were multiple erythemato… Show more
“…[1]). Other examples of quadratic harnesses are quantum Bessel process -QH(θ, η, 0, 0, 1) (see [3], [10], or [34]), and a more general bi-Poisson process -QH(θ, η, 0, 0, q) (see [9]), or the q-Brownian motion -QH(0, 0, 0, 0, q) (see, e.g. [7]).…”
Abstract. We show that the joint probability generating function of the stationary measure of a finite state asymmetric exclusion process with open boundaries can be expressed in terms of joint moments of Markov processes called quadratic harnesses. We use our representation to prove the large deviations principle for the total number of particles in the system. We use the generator of the Markov process to show how explicit formulas for the average occupancy of a site arise for special choices of parameters. We also give similar representations for limits of stationary measures as the number of sites tends to infinity. This is an expanded version with additional details that are omitted from the published version.
“…[1]). Other examples of quadratic harnesses are quantum Bessel process -QH(θ, η, 0, 0, 1) (see [3], [10], or [34]), and a more general bi-Poisson process -QH(θ, η, 0, 0, q) (see [9]), or the q-Brownian motion -QH(0, 0, 0, 0, q) (see, e.g. [7]).…”
Abstract. We show that the joint probability generating function of the stationary measure of a finite state asymmetric exclusion process with open boundaries can be expressed in terms of joint moments of Markov processes called quadratic harnesses. We use our representation to prove the large deviations principle for the total number of particles in the system. We use the generator of the Markov process to show how explicit formulas for the average occupancy of a site arise for special choices of parameters. We also give similar representations for limits of stationary measures as the number of sites tends to infinity. This is an expanded version with additional details that are omitted from the published version.
“…The rest of the proof consists of a careful analysis of (7.2) in all the cases leading to (2.6)-(2.10) (with δ instead of d), and is based on the same general approach laid out in [10]. But, for completeness, we outline it here (see also Remark 8.2).…”
Section: Extension Of Quantum Bessel Processmentioning
confidence: 99%
“…Since the first coordinate of the quantum Bessel process always follows a uniform motion to the right, it makes sense to denote the whole process as (t, X t ) t . It can be shown in a way similar to Theorem 4.1 in [10] that the second coordinate (X t ) t after a slight rescaling becomes a particular case of quadratic harness (for the definition, see [4]), called classical bi-Poisson process, which was first introduced in [6] and presented as a member of a larger class of bi-Poisson processes in [5].…”
Abstract. It is demonstrated how to use certain family of commutative hypergroups to provide a universal construction of Biane's quantum Bessel processes of all dimensions not smaller than 1. The classical Bessel processes BES(δ) are analogously constructed with the aid of the Bessel-Kingman hypergroups for all, not necessarily integer, dimensions δ ≥ 1.
“…This quadratic harness appeared under the name quantum Bessel process in [4] (see also [20] for a multidimensional version), and as classical bi-Poisson process in [11]. Then equation (2.4) assumes the form (5.4) HF − FH = E + θH + η(F − tH) = E + ηF + (θ − tη)H.…”
Abstract. We study the infinitesimal generators of evolutions of linear mappings on the space of polynomials, which correspond to a special class of Markov processes with polynomial regressions called quadratic harnesses. We relate the infinitesimal generator to the unique solution of a certain commutation equation, and we use the commutation equation to find an explicit formula for the infinitesimal generator of free quadratic harnesses. This is an expanded (arxiv) version of the paper.
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