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On the orthogonal polynomials associated with a Lévy process. (English) Zbl 1149.60028

Let \(X_t , t\geq 0\) be a semimartingale with \(X_0=0\). Consider the variation of \(X\), \[ X^{(1)}_t = X_t , \;X^{(2)}_t = [X,X]_t , \;X^{(n)}_t = \sum_{0<s\leq t} (\Delta X_s)^n , \;n\geq 3 \]
and the iterated integrals of \(X\)
\[ P^{(0)}_t =1, \;P^{(1)}_t = X_t, \;P^{(n)}_t =\int_0^t P^{(n-1)}_{s-} dX_s. \]
The authors deduce that \(P^{(n)}_t\) is a polynomial in \(X^{(1)}_t ,\dots, X^{(n)}_t\) and denote it by \(P_n(x_1,\dots,x_n)\).
In this paper the authors study the probabilistic properties of, and relationship between \(P_n(x_1,\dots,x_n)\) and the Teugels polynomial \(p^{\sigma}_n(x), \;n\geq 1\). Their three main results are interesting in themselves. First they prove that for a general semimartingale \(X\) the Doleans exponential \({\mathcal E}(uX_t)\) is analytic in a certain neighborhood of the origin and that the iterated integrals are the Taylor coefficients.
The second result is related to the Kailath-Segall polynomials that are expressible as polynomials of a fixed set of variables. It is known that the Brownian motion and the compensated Poisson process are the unique Lévy processes such that the Kailath-Segall polynomials can be written as polynomials in \(x\) and \(t\). So, a natural question is how to characterize the Lévy processes with a similar property for a finite number of variables. The key of their proof is that only the application of linear functions to a Lévy process gives rise to another Lévy process.
The third result is that it is possible to give a sequence of simple Lévy processes \(\{X_k\}\) that converges in the Skorohod topology to \(X\) so that, under the appropriate hypothesis, all variations and iterated integrals of \(X_k\) converge to the variations and iterated integrals of \(X\) .

MSC:

60G51 Processes with independent increments; Lévy processes
42C05 Orthogonal functions and polynomials, general theory of nontrigonometric harmonic analysis
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[1] Anshelevich, M. (2004). Apell polynomials and their relatives. Int. Math. Res. Not. 65 3469-3531. · Zbl 1086.33012
[2] Avram, F. (1988). Weak convergence of the variations, iterated integrals and Dóleans-Dade exponentials of sequences of semimartingales. Ann. Probab. 16 246-250. · Zbl 0636.60029
[3] Avram, F. and Taqqu, M. S. (1986). Symmetric polynomials of random variables attracted to an infinite divisible law. Probab. Theory Related Fields 71 491-500. · Zbl 0579.60021
[4] Chihara, T. S. (1978). An Introduction to Orthogonal Polynomials . Gordon and Breach, New York. · Zbl 0389.33008
[5] Chou, Y. S. and Teicher, H. (1978). Probability Theory . Springer, New York. · Zbl 0399.60001
[6] Jacod, J. and Shiryaev, A. N. (1987). Limit Theorems for Stochastic Processes . Springer, Berlin. · Zbl 0635.60021
[7] Segall, A. and Kailath, Th. (1976). Othogonal functionals of independent increment processes. IEEE Trans. Inform. Theory 22 287-298. · Zbl 0353.60080
[8] Feinsilver, Ph. (1986). Some classes of orthogonals polynomials associated with martingales. Proc. Amer. Math. Soc. 98 298-302. JSTOR: · Zbl 0615.60050
[9] Khavinson, D. (1995). A note on entire solutions of the eiconal equation. Amer. Math. Monthly 102 159-161. JSTOR: · Zbl 0845.35017
[10] Letac, G. and Pradines, J. (1978). Seules les affinités préserven les lois normales. C. R. Math. Acad. Sci. Paris Sér. A 286 399-402. · Zbl 0372.60012
[11] Lin, T. F. (1981). Multiple integrals of a homogeneous process with independent increments. Ann. Probab. 9 529-532. · Zbl 0457.60046
[12] Meyer, P. A. (1976). Un cours sur les intégrales stochastiques. Séminaire de Probabilités X. Lecture Notes in Math. 511 245-400. Springer, Berlin. · Zbl 0374.60070
[13] Nualart, D. and Schoutens, W. (2000). Chaotic and predictable representation for Lévy processes. Stochastic Process. Appl. 90 109-122. · Zbl 1047.60088
[14] Privault, N., Solé, J. Ll. and Vives, J. (2000). Chaotic Kabanov formula for the Azema martingales. Bernoulli 6 633-651. · Zbl 1023.60046
[15] Sato, K. (1999). Lévy Processes and Infinitely Divisible Distributions . Cambridge Univ. Press. · Zbl 0973.60001
[16] Sengupta, A. and Sarkar, A. (2001). Finitely polynomially determined Lévy processes. Electron. J. Probab. 6 1-22. · Zbl 0974.60026
[17] Schoutens, W. (2000). Stochastic Processes and Orthogonal Polynomials . Lecture Notes in Statist. 146 . Springer, New York. · Zbl 0960.60076
[18] Szegö, G. (1939). Orthogonal Polynomials. Amer. Math. Soc., Providence, RI. · JFM 65.0278.03
[19] Yablonski, A. (2007). The calculus of variations fior processes with independent increments. Rocky Mountain J. Math. · Zbl 1133.60027
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