The vertex of the rectangle [a, b] ⊆ ℝᵈ obtained by selecting the lower coordinate
a i for indices i ∈ S and the upper coordinate b i otherwise. Used to compute
inclusion–exclusion sums over all 2^d vertices.
Instances For
The family of left-infinite intervals {Iic n : n ∈ ℕ} is a countable spanning
collection of ℝ: their union covers all of ℝ.
The Borel σ-algebra on ℝ is generated by the left-infinite intervals Iic x for
x ∈ ℝ.
The Borel σ-algebra on ℝᵈ is generated by d-dimensional boxes of the form
∏ᵢ Iic (aᵢ).
Two probability measures on ℝᵈ are equal whenever they agree on all left-closed
quadrants Iic a = {x | x ≤ a} for a ∈ ℝᵈ. This is the multivariate analogue of CDF
determining a probability measure.
Existence (Carathéodory extension). Given F : ℝᵈ → ℝ that is coordinate-wise
non-decreasing, coordinate-wise right-continuous, and assigns non-negative rectangle values,
there exists a Borel measure μ on ℝᵈ whose mass on each rectangle (a, b] equals
rectangleValue F a b.
The family of nonempty bounded half-open intervals (l, u] is a π-system.
The Borel σ-algebra on ℝ is generated by the family of nonempty bounded half-open
intervals (l, u].
The family of nonempty bounded half-open intervals (l, u] is countably spanning:
e.g. the intervals (-n-1, n+1] for n ∈ ℕ cover ℝ.
Characterization of probability measures on ℝᵈ. Given F : ℝᵈ → ℝ that is
coordinate-wise non-decreasing, coordinate-wise right-continuous, and rectangle-nonnegative,
there exists a unique Borel measure μ on ℝᵈ whose value on each finite rectangle
(a, b] is determined by the inclusion–exclusion rectangleValue F a b.