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{{Short description|Mapping function}}
In [[mathematics]], additivity (specifically finite additivity) and sigma additivity (also called countable additivity) of a [[Function (mathematics)|function]] (often a [[Measure (mathematics)|measure]]) defined on [[subset]]s of a given [[Set (mathematics)|set]] are abstractions of how intuitive properties of size ([[length]], [[area]], [[volume]]) of a set sum when considering multiple objects. Additivity is a weaker condition than σ-additivity; that is, σ-additivity implies additivity.▼
{{mcn|date=April 2024}}
In [[mathematics]], an '''additive set function''' is a [[function (mathematics)|function]] <math display>\mu</math> mapping sets to numbers, with the property that its value on a [[Union (set theory)|union]] of two [[disjoint set|disjoint]] sets equals the sum of its values on these sets, namely, <math display=inline>\mu(A \cup B) = \mu(A) + \mu(B).</math> If this additivity property holds for any two sets, then it also holds for any finite number of sets, namely, the function value on the union of ''k'' disjoint sets (where ''k'' is a finite number) equals the sum of its values on the sets. Therefore, an additive [[set function]] is also called a '''finitely additive set function''' (the terms are equivalent). However, a finitely additive set function might not have the additivity property for a union of an ''infinite'' number of sets. A '''σ-additive set function''' is a function that has the additivity property even for [[countably infinite]] many sets, that is, <math display=inline>\mu\left(\bigcup_{n=1}^\infty A_n\right) = \sum_{n=1}^\infty \mu(A_n).</math>
▲
== Additive (or finitely additive) set functions ==▼
The term '''[[#modular set function|modular set function]]''' is equivalent to additive set function; see [[Sigma-additive set function#modularity|modularity]] below.
Let <math>\mu</math> be a function defined on an [[Field of sets|algebra of sets]] <math>\scriptstyle\mathcal{A}</math> with values in <math>[-\infty, \infty]</math> (see the [[extended real number line]]). The function <math>\mu</math> is called additive, or finitely additive, if, whenever <math>A</math> and <math>B</math> are [[disjoint set]]s in <math>\scriptstyle\mathcal{A},</math> one has▼
<math display="block">\mu(A \cup B) = \mu(A) + \mu(B).</math>▼
▲Let <math>\mu</math> be a [[set function]] defined on an [[Field of sets|algebra of sets]] <math>\scriptstyle\mathcal{A}</math> with values in <math>[-\infty, \infty]</math> (see the [[extended real number line]]). The function <math>\mu</math> is called '''{{visible anchor|additive|additive
A consequence of this is that an additive function cannot take both <math>- \infty</math> and <math>+ \infty</math> as values, for the expression <math>\infty - \infty</math> is undefined.
One can prove by [[mathematical induction]] that an additive function satisfies
<math display=
for any <math>A_1, A_2, \
==
Suppose that <math>\scriptstyle\mathcal{A}</math> is a [[Sigma algebra|σ-algebra]]. If for
<math display=
holds then <math>\mu</math> is said to be {{em|countably additive}} or {{em|{{sigma}}-additive}}.
==
Suppose that in addition to a sigma algebra <math display=inline>
<math display=
we say that <math>\mu</math> is
==
===Value of empty set===
▲Useful properties of an additive function <math>\mu</math> include the following:
# If <math>\mu</math> is non-negative and <math>A \subseteq B</math> then <math>\mu(A) \leq \mu(B).</math>▼
# Given <math>A</math> and <math>B,</math> <math>\mu(A \cup B) - \mu(A \cap B) = \mu(A) + \mu(B).</math>▼
Either <math>\mu(\varnothing) = 0,</math> or <math>\mu</math> assigns <math>\infty</math> to all sets in its ___domain, or <math>\mu</math> assigns <math>- \infty</math> to all sets in its ___domain. ''Proof'': additivity implies that for every set <math>A,</math> <math>\mu(A) = \mu(A \cup \varnothing) = \mu(A) + \mu( \varnothing)</math> (it's possible in the edge case of an empty ___domain that the only choice for <math>A</math> is the [[empty set]] itself, but that still works). If <math>\mu(\varnothing) \neq 0,</math> then this equality can be satisfied only by plus or minus infinity.
== Examples ==▼
===Monotonicity===
If <math>\mu</math> is non-negative and <math>A \subseteq B</math> then <math>\mu(A) \leq \mu(B).</math> That is, <math>\mu</math> is a '''{{visible anchor|monotone set function}}'''. Similarly, If <math>\mu</math> is non-positive and <math>A \subseteq B</math> then <math>\mu(A) \geq \mu(B).</math>
===Modularity{{Anchor|modularity}}===
{{See also|Valuation (geometry)}}
{{See also|Valuation (measure theory)}}
A [[set function]] <math>\mu</math> on a [[family of sets]] <math>\mathcal{S}</math> is called a '''{{visible anchor|modular set function}}''' and a '''[[Valuation (geometry)|{{visible anchor|valuation}}]]''' if whenever <math>A,</math> <math>B,</math> <math>A\cup B,</math> and <math>A\cap B</math> are elements of <math>\mathcal{S},</math> then
▲
The above property is called '''{{visible anchor|modularity}}''' and the argument below proves that additivity implies modularity.
Given <math>A</math> and <math>B,</math> <math>\mu(A \cup B) + \mu(A \cap B) = \mu(A) + \mu(B).</math> ''Proof'': write <math>A = (A \cap B) \cup (A \setminus B)</math> and <math>B = (A \cap B) \cup (B \setminus A)</math> and <math>A \cup B = (A \cap B) \cup (A \setminus B) \cup (B \setminus A),</math> where all sets in the union are disjoint. Additivity implies that both sides of the equality equal <math>\mu(A \setminus B) + \mu(B \setminus A) + 2\mu(A \cap B).</math>
However, the related properties of [[Submodular set function|''submodularity'']] and [[Subadditive set function|''subadditivity'']] are not equivalent to each other.
Note that modularity has a different and unrelated meaning in the context of complex functions; see [[modular form]].
===Set difference===
▲
An example of a {{sigma}}-additive function is the function <math>\mu</math> defined over the [[power set]] of the [[real number]]s, such that
<math display=
0 & \mbox{ if } 0 \notin A.
\end{cases}</math>
If <math>A_1, A_2, \ldots, A_n, \ldots</math> is a sequence of disjoint sets of real numbers, then either none of the sets contains 0, or precisely one of them does. In either case, the equality
<math display=
holds.
See [[
A ''charge'' is defined to be a finitely additive set function that maps <math>\varnothing</math> to <math>0.</math><ref>{{Cite book|last1=Bhaskara Rao|first1=K. P. S.|first2=M. |last2=Bhaskara Rao|title=Theory of charges: a study of finitely additive measures|date=1983|publisher=Academic Press|isbn=0-12-095780-9|___location=London|pages=35|oclc=21196971}}</ref> (Cf. [[ba space]] for information about ''bounded'' charges, where we say a charge is ''bounded'' to mean its range is a bounded subset of ''R''.)
===An additive function which is not σ-additive===
An example of an additive function which is not σ-additive is obtained by considering <math>\mu</math>, defined over the Lebesgue sets of the [[real number]]s <math>\R</math> by the formula <math display=
where <math>\lambda</math> denotes the [[Lebesgue measure]] and
One can check that this function is additive by using the linearity of the limit. That this function is not σ-additive follows by considering the sequence of disjoint sets
<math display=
for <math>n = 0, 1, 2, \ldots</math> The union of these sets is the [[positive reals]], and <math>\mu</math> applied to the union is then one, while <math>\mu</math> applied to any of the individual sets is zero, so the sum of <math>\mu
==
One may define additive functions with values in any additive [[monoid]] (for example any [[
==
* {{annotated link|
* {{annotated link|measure (mathematics)}}▼
* {{annotated link|additive map}}▼
* {{annotated link|subadditive function}}▼
* {{annotated link|σ-finite measure}}▼
* {{annotated link|Hahn–Kolmogorov theorem}}
▲* {{annotated link|σ-finite measure}}
* {{annotated link|Subadditive set function}}
* {{annotated link|τ-additivity}}
* [[ba space]] – The set of bounded charges on a given sigma-algebra
{{PlanetMath attribution|id=3400|title=additive}}
==
{{reflist|group=note}}
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