Measure Theory 17 | Product measure and Cavalieri's principle [dark version]
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Product measure μ on X1 × X2 is defined so that measurable rectangles satisfy μ(A1 × A2) = μ1(A1)·μ2(A2).
Briefing
Product measure turns two separate measure spaces into a single measure on their Cartesian product by enforcing a simple rule: measurable rectangles must have measure equal to “length times width.” Starting with measure spaces (X1, A1, μ1) and (X2, A2, μ2), the construction lives on X1 × X2. One chooses the product σ-algebra generated by measurable rectangles A1 × A2, and then defines the product measure μ so that for every measurable rectangle, μ(A1 × A2) = μ1(A1)·μ2(A2). This rectangle rule is the core requirement; it pins down how “volume” should behave in the coordinate system where sets look like blocks.
Defining μ on rectangles is only the beginning, because most interesting subsets of X1 × X2 are not rectangles. The transcript illustrates this with a triangle-shaped set M. To compute μ(M), the method uses sections: fix a point y in X2 and look at the “slice” of M along the X1-direction, denoted M_y = {x ∈ X1 : (x, y) ∈ M}. The measure of that slice is μ1(M_y). Then the overall measure of M is obtained by aggregating all slices across X2—conceptually, summing the red vertical slices. In measure-theoretic terms, this aggregation is expressed as an integral over X2 with respect to μ2: μ(M) is computed by integrating the slice-measure μ1(M_y) over y.
A symmetric statement holds when slicing in the other direction: for fixed x ∈ X1, consider the slice M^x = {y ∈ X2 : (x, y) ∈ M}, measure it using μ2, and integrate over X1 with respect to μ1. This “slice-and-integrate” viewpoint is exactly what Cavalieri’s principle looks like in the language of product measures: volume of a general set is built from the measures of its one-direction sections.
The construction also raises a subtlety about existence and uniqueness. Using an extension theorem (via defining μ on a semiring of rectangles and extending to the generated σ-algebra), the product measure can be built, but the extension need not be unique in full generality. Uniqueness becomes guaranteed under the condition that both μ1 and μ2 are σ-finite—an assumption familiar from standard Lebesgue measure on R^n. Under σ-finiteness, there is exactly one product measure satisfying the rectangle rule.
In short, the transcript connects two ideas: the product measure is defined by enforcing the rectangle formula, and Cavalieri’s principle is the practical way to compute the measure of non-rectangular sets by integrating the measures of their slices in one coordinate direction and summing them across the other.
Cornell Notes
Product measure builds a measure μ on the Cartesian product X1 × X2 from two measure spaces (X1, A1, μ1) and (X2, A2, μ2). The key requirement is that every measurable rectangle A1 × A2 has measure μ(A1 × A2) = μ1(A1)·μ2(A2), and μ is defined on the product σ-algebra generated by such rectangles. Extension theorems allow the rectangle rule to extend beyond rectangles, though uniqueness can fail without extra conditions. When μ1 and μ2 are σ-finite, the product measure satisfying the rectangle rule is unique. For non-rectangular sets M (like a triangle), μ(M) is computed by slicing: measure each section M_y = {x : (x, y) ∈ M} using μ1, then integrate those slice-measures over X2 with respect to μ2 (and symmetrically in the other direction).
How is the product measure μ on X1 × X2 determined from μ1 and μ2?
Why isn’t it enough to define μ only on rectangles?
What is the slicing formula for μ(M) when M is a general measurable subset of X1 × X2?
How does Cavalieri’s principle appear in the “switched directions” version?
When is the product measure uniquely determined by the rectangle rule?
Review Questions
- What condition on μ1 and μ2 guarantees uniqueness of the product measure constructed from the rectangle rule?
- Given a measurable set M ⊂ X1 × X2, how do you define the section M_y and how does it enter the integral for μ(M)?
- How does the slicing method change when switching from vertical sections (along X1) to horizontal sections (along X2)?
Key Points
- 1
Product measure μ on X1 × X2 is defined so that measurable rectangles satisfy μ(A1 × A2) = μ1(A1)·μ2(A2).
- 2
The product σ-algebra is generated by rectangles A1 × A2, and μ is constructed on that σ-algebra via an extension theorem.
- 3
Rectangles alone don’t describe most sets; non-rectangular sets require computing μ using sections and integration.
- 4
For M ⊂ X1 × X2, vertical slicing uses M_y = {x : (x, y) ∈ M}, then integrates μ1(M_y) over X2 with respect to μ2.
- 5
Cavalieri’s principle is the slice-and-sum idea: volume of M equals the integral of the measures of its one-direction sections.
- 6
The product measure is unique when both μ1 and μ2 are σ-finite (e.g., Lebesgue measure on R^n).