Abstract
A simple point process on the positive half-line is, roughly speaking, a strictly increasing sequence \(\left\{ T_n\right\} _{n\in {\mathbb {N}}_+}\) of random variables taking their values in \([0, +\infty ]\) and called the event times.
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Notes
- 1.
For instance: [Kallenberg], [Neveu], [Daley and Vere-Jones].
- 2.
In particular, for any \(C\in \mathcal{B}(E)\), the mapping \(p_C:\,\mu \rightarrow \mu (C)\) is measurable.
- 3.
The \(\infty \) represents the number of servers. This model is sometimes called a “queuing” system, although in reality there is no queuing, since customers are served immediately upon arrival and without interruption. It is in fact a “pure delay” system.
- 4.
See for instance, Baccelli and Brémaud, Elements of Queuing Theory, Springer, New York, 1994 (2nd edition 2003).
- 5.
This proof is borrowed from [Neveu]. See also [Daley and Vere-Jones]. The latter has also the equivalent of the Cramér–Khinchin decomposition.
- 6.
For applications of the formulas of the present subsection to communications systems, see [Ridolfi].
- 7.
Cioczek-Georges, R., Mandelbrot, B.B.: “A class of micropulses and antipersistent fractal Brownian motion”, Stochastic Processes and their Applications, 60, pp. 1–18, (1995).
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Brémaud, P. (2014). Power Spectra of Point Processes. In: Fourier Analysis and Stochastic Processes. Universitext. Springer, Cham. https://doi.org/10.1007/978-3-319-09590-5_5
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DOI: https://doi.org/10.1007/978-3-319-09590-5_5
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