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S.E. Ferrando and
A.L. Gonzalez
Trajectorial martingale transforms. Convergence and integration
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Published: |
September 13, 2018 |
Keywords: |
Trajectorial martingales, worst case uncertainty, superhedging, non-lattice integration |
Subject: |
Primary: 60G42, 60G48; Secondary: 60G17 |
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Abstract
Starting with a trajectory space, providing a non-stochastic analogue of a discrete time martingale process, we use the notion of super-replication to introduce definitions for null and full sets and the associated notion of a property holding almost everywhere (a.e.). The latter providing what can be seen as the worst case analogue of sets of measure zero in a stochastic setting. The a.e. notion is used to prove the pointwise convergence, on a full set of the original trajectory space, of the limit of a trajectorial transform sequence. The setting also allows to construct a natural integration operator which we study in detail.
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Acknowledgements
The authors would like to thank
Dr. Pedro Catuogno for stimulating conversations on the subject of the paper.
S. Ferrando would like to thank Professor König for providing a personal copy of reference [7].
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Author information
S.E. Ferrando:
Department of Mathematics, Ryerson University, 350 Victoria St., Toronto, Ontario M5B 2K3, Canada.
ferrando@ryerson.ca
A.L. Gonzalez:
Departamento de Matemática, Facultad de Ciencias Exactas y Naturales, Universidad Nacional de Mar del Plata, Funes 3350, Mar del Plata 7600, Argentina.
algonzal@mdp.edu.ar
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