Abstract:Cylindrical probability measures are finitely additive measures on Banach spaces that have sigma-additive projections to Euclidean spaces of all dimensions. They are naturally associated to notions of weak (cylindrical) random variable and hence weak (cylindrical) stochastic processes. In this paper we focus on cylindrical Lévy processes. These have (weak) Lévy-Itô decompositions and an associated Lévy-Khintchine formula. If the process is weakly square integrable, its covariance operator can be used to constr… Show more
“…The notion cylindrical Lévy process appears the first time in Peszat and Zabczyk [16] and it is followed by the works Brzeźniak, Goldys et al [3], Brzeźniak and Zabzcyk [4] and Priola and Zabczyk [17]. The first systematic introduction of cylindrical Lévy processes appears in our work Applebaum and Riedle [1].…”
Section: Introductionmentioning
confidence: 95%
“…This approach in [1] is inspired by the analogue definition for cylindrical Wiener processes, see Kallianpur and Xiong [10], Metivier and Pellaumail [14] or Riedle [18]. In the same way as cylindrical Wiener processes are related to the class of Gaussian cylindrical measures, the introduction of cylindrical Lévy processes in [1] leads to the new class of infinitely divisible cylindrical measures which have not been considered so far. Since the article [1] is focused on cylindrical Lévy processes and their stochastic integral, no further properties of infinitely divisible cylindrical measures are derived.…”
Section: Introductionmentioning
confidence: 99%
“…The introduction of cylindrical Lévy processes in [1] are based on the theory of cylindrical or generalised processes and cylindrical measures, see for example Schwartz [20] or Vakhaniya et al [21]. This approach in [1] is inspired by the analogue definition for cylindrical Wiener processes, see Kallianpur and Xiong [10], Metivier and Pellaumail [14] or Riedle [18].…”
In this work infinitely divisible cylindrical probability measures on arbitrary Banach spaces are introduced. The class of infinitely divisible cylindrical probability measures is described in terms of their characteristics, a characterisation which is not known in general for infinitely divisible Radon measures on Banach spaces. Further properties of infinitely divisible cylindrical measures such as continuity are derived. Moreover, the result on the classification enables us to conclude new results on genuine Lévy measures on Banach spaces.
“…The notion cylindrical Lévy process appears the first time in Peszat and Zabczyk [16] and it is followed by the works Brzeźniak, Goldys et al [3], Brzeźniak and Zabzcyk [4] and Priola and Zabczyk [17]. The first systematic introduction of cylindrical Lévy processes appears in our work Applebaum and Riedle [1].…”
Section: Introductionmentioning
confidence: 95%
“…This approach in [1] is inspired by the analogue definition for cylindrical Wiener processes, see Kallianpur and Xiong [10], Metivier and Pellaumail [14] or Riedle [18]. In the same way as cylindrical Wiener processes are related to the class of Gaussian cylindrical measures, the introduction of cylindrical Lévy processes in [1] leads to the new class of infinitely divisible cylindrical measures which have not been considered so far. Since the article [1] is focused on cylindrical Lévy processes and their stochastic integral, no further properties of infinitely divisible cylindrical measures are derived.…”
Section: Introductionmentioning
confidence: 99%
“…The introduction of cylindrical Lévy processes in [1] are based on the theory of cylindrical or generalised processes and cylindrical measures, see for example Schwartz [20] or Vakhaniya et al [21]. This approach in [1] is inspired by the analogue definition for cylindrical Wiener processes, see Kallianpur and Xiong [10], Metivier and Pellaumail [14] or Riedle [18].…”
In this work infinitely divisible cylindrical probability measures on arbitrary Banach spaces are introduced. The class of infinitely divisible cylindrical probability measures is described in terms of their characteristics, a characterisation which is not known in general for infinitely divisible Radon measures on Banach spaces. Further properties of infinitely divisible cylindrical measures such as continuity are derived. Moreover, the result on the classification enables us to conclude new results on genuine Lévy measures on Banach spaces.
“…The implication (a) ⇒ (b) can be proved as Theorem 4.8 in [2]. For establishing the implication (b) ⇒ (a), it is immediate that the right hand side of (4.1) converges.…”
“…In the same way, one can introduce cylindrical Wiener processes, see for instance [16,18,24], and recently, this approach has been accomplished in [2] to give the first systematic treatment of cylindrical Lévy processes. Definition 4.1.…”
Abstract. In this article we introduce cylindrical fractional Brownian motions in Banach spaces and develop the related stochastic integration theory. Here a cylindrical fractional Brownian motion is understood in the classical framework of cylindrical random variables and cylindrical measures. The developed stochastic integral for deterministic operator valued integrands is based on a series representation of the cylindrical fractional Brownian motion, which is analogous to the Karhunen-Loève expansion for genuine stochastic processes. In the last part we apply our results to study the abstract stochastic Cauchy problem in a Banach space driven by cylindrical fractional Brownian motion.
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