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The Dirac set function at a point
Definition
Let be a sigma-algebra on a nonempty set (Sigma-algebras) and fix . The Dirac set function at is
The two branches are exhaustive and disjoint. The fact that this set function is a probability measure is proved in A Dirac set function is a probability measure ↗.
Depends on
Used by
- Two-dimensional simple symmetric walk is recurrent Corollary
- Taking out an unbounded factor needs integrability Counterexample
- Total variation can exceed the absolute value of the set value Counterexample
- Complex Lp classes and Euclidean test-function conventions Definition
- Robin constant and logarithmic capacity of a compact set Definition
- Standard normal and normal laws Definition
- A boundary atom gives an h1 function without an L1 density Example
- A singular inner function generated by a point mass Example
- A step function generates a finite atomic measure Example
- Assuming choice, the completion of the Borel Dirac measure at zero is defined on every subset of the real line Example
- Chebyshev extremal nodes converge to the arcsine equilibrium measure Example
- Finite and countable planar sets have zero logarithmic capacity Example
- Integrating against a Dirac measure is evaluation at the point Example
- Point evaluation is represented by a Dirac measure Example
- Riesz measure of a log modulus records the holomorphic zeros Example
- The measure δ₀+λ↾_[0,1] splits into discrete and absolutely continuous parts Example
- The signed measure delta₁ minus delta_-1 has the obvious Hahn and Jordan decomposition Example
- The weights 2⁻⁽ᵏ⁺¹⁾ define a probability measure on P(ℕ) Example
- FALSE: measures are additive on arbitrary countable unions False statement
- FALSE: total variation always equals the absolute value of the set value False statement
- Monic polynomial lower bounds for the Chebyshev constant and capacity Lemma
- The Dieudonne measure and top-point Dirac mass agree on continuous functions Lemma
- A Dirac set function is a probability measure Proposition
- A measure on a finite sigma-algebra is a finite weighted sum over its atoms 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
- Fekete–Szegő equality of logarithmic capacity, transfinite diameter, and Chebyshev constant Theorem
- h1 is isometric to finite regular complex boundary measures Theorem
Dependency tree · two levels
2 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
- S. Axler, Measure, Integration & Real Analysis, Example 2.55 (standard reference, not scraped)