Abstract:The random integral mappings (some type of functionals of Lévy processes) are continuous homomorphisms between convolution subsemigroups of the semigroup of all infinitely divisible measures. Compositions of those random integrals (mappings) can be always expressed as another single random integral mapping. That fact is illustrated by some old and new examples.
“…that is, those classes correspond to the compositions of k + 1 mappings I and J , respectively; see [19] for the general theory of compositions of random integral mappings.…”
Section: Relations Between (L K ) and (U )mentioning
confidence: 99%
“…where h is a real function, r (a time change) is a monotone, non-negative function and D h,r (a,b] denotes the domain of the random integral I h,r (a,b] ; for details see, for instance, [13,14,15,17,19]. To Y (resp.…”
For the class of free-infinitely divisible transforms we introduce three families of increasing Urbanik type subclasses. They begin with the class of free-normal transforms and end up with the whole class of freeinfinitely divisible transforms. Those subclasses are derived from the ones of classical infinitely divisible measures for which random integral representations are known. Special functions like Hurwitz-Lerch, polygamma and hypergeometric functions appear in kernels of the corresponding integral representations.
“…that is, those classes correspond to the compositions of k + 1 mappings I and J , respectively; see [19] for the general theory of compositions of random integral mappings.…”
Section: Relations Between (L K ) and (U )mentioning
confidence: 99%
“…where h is a real function, r (a time change) is a monotone, non-negative function and D h,r (a,b] denotes the domain of the random integral I h,r (a,b] ; for details see, for instance, [13,14,15,17,19]. To Y (resp.…”
For the class of free-infinitely divisible transforms we introduce three families of increasing Urbanik type subclasses. They begin with the class of free-normal transforms and end up with the whole class of freeinfinitely divisible transforms. Those subclasses are derived from the ones of classical infinitely divisible measures for which random integral representations are known. Special functions like Hurwitz-Lerch, polygamma and hypergeometric functions appear in kernels of the corresponding integral representations.
“…(0,1] (I t,t (0,1] (...(I t,t (0,1] (ν))), (k-times); see Jurek (2004), Proposition 4 and Corollary 2 and for more general theory of compositions of random integrals see Jurek (2018).…”
Section: A Basic Theoremmentioning
confidence: 99%
“…where h is a real function, r (a time change) is a monotone, nonnegative function and D h,r (a,b] denotes the domain of a random integral I h,r (a,b] ; for details see for instance Jurek (1988Jurek ( ) or (1989Jurek ( ) or (2004Jurek ( ) or (2007Jurek ( ) or (2018. To Y (to µ) we refer as the background driving Lévy process (BDLP) (background driving probability distribution(BDPD)) of the measure ρ.…”
Section: Introduction and Notationsmentioning
confidence: 99%
“…* ) = I(ID log ), L k+1 = I(I e −t ,r k (t) k−1 dx;that is, those classes correspond to compositions of k + 1 mappings I and J , respectively; seeJurek (2018) for a general theory of compositions of random integral mappings.where a ∈ R and G is a finite Borel measure on (−2, 0) ∪ (0, 2]. Let use the identification (4) ThenV ν (it) = it 2 ∞ 0 log φ ν (−u)e −tu du = |x|)t 1−|x| ie iπx/2 + x G(dx) log(u)e −u du = 1 − γ; (Euler's constant);which gives part (i) of Proposition 4.…”
For the class of free-infinitely divisible transforms are introduced three families of increasing Urbanik type subclasses of those transforms. They begin with the class of free-normal transforms and end up with the whole class of free-infinitely divisible transforms. Those subclasses are derived from the ones of classical infinitely divisible measures for which are known their random integral representations. Special functions like Hurwitz-Lerch, polygamma and hypergeometric appeared in kernels of the corresponding integral representations.
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