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Nonnegative scalar multiples and countable weighted sums of measures are measures
Statement
Let be measures on one measurable space and let . Each scalar multiple , defined by the zero, finite-positive, and positive-infinity branches of Nonnegative scalar multiples and countable weighted sums of measures, is a measure. Every finite or countable weighted sum is also a measure.
Facts & Assumptions
Given: Measures on and coefficients .
Scalar multiplication has separate , , and branches, and weighted sums are pointwise nonnegative extended sums (Nonnegative scalar multiples and countable weighted sums of measures).
For a nonnegative extended double sequence, the two iterated sums are equal (Tonelli's theorem for double series of nonnegative extended real numbers).
A measure vanishes at the empty set and is countably additive on disjoint measurable sequences (Measures on sigma-algebras).
Proof
For , the set function is the zero measure.
For , ; for disjoint , multiplying the finite partial-sum identities by and taking their supremum gives , whether the common value is finite or .
For , a disjoint union has -measure zero exactly when every member has -measure zero: this follows directly from countable additivity and nonnegativity. Hence the infinite branch takes value on the union exactly when every term value is , and otherwise both it and the series of term values are ; this branch is a measure without forming .
Steps 1.1, 1.2 and 1.3 prove that every scalar multiple is a measure for all possible coefficients.
Put . Then .
If is disjoint, then step 2.1 and Tonelli give .
Steps 3.1 and 3.2 prove that the countable weighted sum is a measure; the same proof for a finite index range, or zero coefficients thereafter, gives every finite weighted sum, including the empty zero measure.
Depends on
Used by
- Higher-dimensional simple symmetric walks are transient Corollary
- One-dimensional simple symmetric walk is recurrent Corollary
- Two-dimensional simple symmetric walk is recurrent Corollary
- A submartingale need not have increasing sample paths Counterexample
- An unbounded predictable transform may lose integrability Counterexample
- Equal finitely many moments do not determine a law Counterexample
- Taking out an unbounded factor needs integrability Counterexample
- A step function generates a finite atomic measure Example
- Birth–death recurrence through scale products Example
- Borel-Cantelli for the shrinking intervals (0,2⁻ᵏ) under a dyadic atomic measure Example
- Characteristic functions of bernoulli binomial and poisson laws Example
- Chebyshev extremal nodes converge to the arcsine equilibrium measure Example
- Finite and countable planar sets have zero logarithmic capacity Example
- Gambler’s ruin from harmonicity Example
- Green kernel of a biased integer walk Example
- Independent sums via characteristic functions Example
- Riesz measure of a log modulus records the holomorphic zeros Example
- Square of a martingale minus quadratic compensator Example
- The weights 2⁻⁽ᵏ⁺¹⁾ define a probability measure on P(ℕ) Example
- Compact capacity-zero sets and subharmonic minus-infinity loci Lemma
- Monic polynomial lower bounds for the Chebyshev constant and capacity Lemma
- An invertible linear map of ℝⁿ scales the Lebesgue measure of every Borel set by a positive constant depending only on the map Theorem
- Every finite Borel measure on ℝ splits as an atomic part plus an atomless part Theorem
- Every measure on a countable discrete space is its weighted sum of Dirac measures Theorem
- Existence and uniqueness of the equilibrium measure Theorem
- Fekete–Szegő equality of logarithmic capacity, transfinite diameter, and Chebyshev constant Theorem
- Spectral multiplicity model for separably acting abelian von Neumann algebras Theorem
Cited to discharge well-definedness by Nonnegative scalar multiples and countable weighted sums of measures.
Dependency tree · two levels
8 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.
Sources
- T. Tao, An Introduction to Measure Theory, Example 1.4.24 and Exercise 1.4.22 (standard reference, not scraped)