TheoremBase

Total Variation and Total Variation Norm of a Finite Signed Measure

Defines the total variation of a finite signed measure, the set function giving on each measurable set A the largest value of ν(B) − ν(A∖B) over measurable B ⊆ A, and the total variation norm, its value on the whole space.

Statement

In the setting of Radon Measures on Locally Compact Metric Spaces: Standing Notation, let (X,F)(X,\mathcal{F}) be a measurable space and let ν\nu be a finite signed measure on (X,F)(X,\mathcal{F}).

Total variation. The total variation of ν\nu is the function ∣ν∣:F→R|\nu|:\mathcal{F}\to\mathbb{R} with

∣ν∣(A)=max⁡{ν(B)−ν(A∖B):B∈F, B⊆A}(A∈F),|\nu|(A)=\max\{\nu(B)-\nu(A\setminus B):B\in\mathcal{F},\ B\subseteq A\}\qquad(A\in\mathcal{F}),

the greatest element given by Existence of the Total Variation of a Finite Signed Measure (i).

Total variation norm. The total variation norm of ν\nu is the real number

∥ν∥=∣ν∣(X).\|\nu\|=|\nu|(X).

Citations

Loading…

Dependencies

Loading…

Related

0 relations

Curated associations between results. These are editable and subjective — they do not replace the dependency graph, which is derived from the references in the text.

No relations recorded yet.

Comments

Log in to comment.

Loading…