Some highlights from the theory of multivariate symmetries
We explain how invariance in distribution under separate or joint contractions, permutations, or rotations can be defined in a natural way for d-dimensional arrays of random variables. In each case, the distribution is characterized by a general representation formula, often easy to state but surpr...
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| Formato: | article |
| Lenguaje: | EN FR IT |
| Publicado: |
Sapienza Università Editrice
2008
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/d643af75d30b4823837b1415f06810ab |
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| Sumario: | We explain how invariance in distribution under separate or joint contractions, permutations, or rotations can be defined in a natural way for d-dimensional
arrays of random variables. In each case, the distribution is characterized by a general representation formula, often easy to state but surprisingly complicated to prove. Comparing the representations in the first two cases, one sees that an array on a tetrahedral index set is contractable iff it admits an extension to a jointly exchangeable array on the full rectangular index set. Multivariate rotatability is defined most naturally for continuous linear random functionals on tensor products of Hilbert spaces. Here the simplest examples are the multiple Wiener–Itô integrals, which also form the basic building blocks of the general representations. The rotatable theory can be used to derive similar representations for separately or jointly exchangeable or contractable random sheets. The present paper provides a non-technical survey of the mentioned results, the complete proofs being available elsewhere. We conclude with a list of open problems. |
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