Bourbaki

Proposition 7 ('associativity of the product of measures')

Tag 08ON, permanent. Cite it as [Bourbaki, Tag 08ON].

Integration, chapter III, § 4. Products of measures

— Let (Ik)1≤k≤r(I_k)_{1 \leq k \leq r} be a partition of the interval [1,n][1, n] of N\mathbf{N}; then

⨂k=1r(⨂i∈Ikμi)=⨂i=1nμi \bigotimes_{k=1}^r \left( \bigotimes_{i \in I_k} \mu_i \right) = \bigotimes_{i=1}^n \mu_i

For, these two measures coincide, by (12), for every function in ⨂i=1nK(Xi;C)\bigotimes_{i=1}^n \mathscr{K}(X_i; \mathbf{C}).

The integral of a function f∈K(X;C)f \in \mathscr{K}(X; \mathbf{C}) with respect to the product measure is denoted

∫fdμ1dμ2…dμn, \int f d\mu_1 d\mu_2 \ldots d\mu_n,
or
∭…∫fdμ1dμ2…dμn \iiint \ldots \int f d\mu_1 d\mu_2 \ldots d\mu_n
or
∫f(μ1⊗⋯⊗μn) \int f(\mu_1 \otimes \cdots \otimes \mu_n)
or also
∭…∫f(x1,x2,…,xn)dμ1(x1)dμ2(x2)…dμn(xn) \iiint \ldots \int f(x_1, x_2, \ldots, x_n) d\mu_1(x_1) d\mu_2(x_2) \ldots d\mu_n(x_n)
or
∭…∫f(x1,x2,…,xn)μ1(x1)μ2(x2)…μn(xn) \iiint \ldots \int f(x_1, x_2, \ldots, x_n) \mu_1(x_1) \mu_2(x_2) \ldots \mu_n(x_n)
with nn signs ∫\int; it is said to be a multiple integral of order nn, or an nn-tuple integral. By virtue of the associativity of the product of measures and the theorem on inverting the order of integration (No. 1, Th. 2), we have, for every permutation σ\sigma of [1,n][1, n],
∭…∫fdμ1dμ2…dμn=∫dμσ(1)∫dμσ(2)…∫fdμσ(n). \iiint \ldots \int f d\mu_1 d\mu_2 \ldots d\mu_n = \int d\mu_{\sigma(1)} \int d\mu_{\sigma(2)} \ldots \int fd\mu_{\sigma(n)}.
(14)

The integral notation and formula (14) may be extended in an obvious way to functions f∈K(X;E)f \in \mathscr{K}(X; E) with values in a Hausdorff locally convex space EE, such that f(X)f(X) is contained in a complete convex subset of EE. We leave to the reader the task of generalizing to the product of any finite number of measures the results of Nos. 2 and 3 concerning the product of two measures.

In particular, one calls Lebesgue measure on Rn\mathbf{R}^n the product of nn measures identical to the Lebesgue measure on R\mathbf{R}; the integral of a function f∈K(Rn;E)f \in \mathscr{K}(\mathbf{R}^n; E), satisfying the preceding condition, is denoted

∭…∫f(x1,x2,…,xn)dx1dx2…dxn \iiint \ldots \int f(x_1, x_2, \ldots, x_n) dx_1 dx_2 \ldots dx_n
and is equal to
∫−∞+∞dx1∫−∞+∞dx2…∫−∞+∞f(x1,x2,…,xn)dxn. \int_{-\infty}^{+\infty} dx_1 \int_{-\infty}^{+\infty} dx_2 \ldots \int_{-\infty}^{+\infty} f(x_1, x_2, \ldots, x_n) dx_n.
Lebesgue measure on Rn\mathbf{R}^n is invariant under every translation.

Bourbaki puts the proof directly after the statement, so what is above is the statement and its proof together.

Cited by

Nothing.

Cites

Transcribed from the printed volume. Not translated.