Abstract
Let X t be an arbitrary additive process taking values in ℝd. Consider \(X_{t}^{*}=\sup_{0\le s\le t}\|X_{s}\|\) and a moderate function φ. We are able to construct a function a φ (t) from the characteristics of X t such that for all stopping times T, the ratio \(E\phi(X_{T}^{*})/Ea_{\phi}(T)\) is uniformly bounded away from 0 and ∞ by two constants depending on φ only. Let T r =inf {t>0:‖X t ‖>r}, r>0. Similarly, we can define a function g φ (r) in terms of the characteristics of X t such that c 1 g φ (r)≤Eφ(T r )≤c 2 g φ (r) ∀r>0 for good constants c 1, c 2 depending only on φ.
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Klass, M.J., Yang, M. Maximal Inequalities for Additive Processes. J Theor Probab 25, 981–1012 (2012). https://doi.org/10.1007/s10959-011-0357-4
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DOI: https://doi.org/10.1007/s10959-011-0357-4
Keywords
- Additive processes
- Lévy processes
- Maximal inequalities
- Stopping times
- Random walks
- Moderate functions
- Sums of independent random variables