We define the k:th moment of a Banach space valued random variable as the expectation of its k:th tensor power; thus the moment (if it exists) is an element of a tensor power of the original Banach space.We study both the projective and injective tensor products, and their relation. Moreover, in order to be general and flexible, we study three different types of expectations: Bochner integrals, Pettis integrals and Dunford integrals.One of the problems studied is whether two random variables with the same injective moments (of a given order) necessarily have the same projective moments; this is of interest in applications. We show that this holds if the Banach space has the approximation property, but not in general.Several sections are devoted to results in special Banach spaces, including Hilbert spaces, CpKq and Dr0, 1s. The latter space is nonseparable, which complicates the arguments, and we prove various preliminary results on e.g. measurability in Dr0, 1s that we need.One of the main motivations of this paper is the application to Zolotarev metrics and their use in the contraction method. This is sketched in an appendix. 1
NotationsWe will use the following standard notations, usually without comment. LpB 1 , . . . , B k ; B 1 q is the space of bounded k-linear maps B 1ˆ¨¨¨ˆBk Ñ B 1 . In particular, with B 1 " R, we have the space of bounded k-linear forms. When B 1 "¨¨¨" B k " B we also write LpB k ; B 1 q.B˚denotes the dual space of the Banach space B, i.e., the space LpB; Rq of bounded linear functionals B Ñ R. If x P B and x˚P B˚, we use the