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Counting measure
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In , specifically , the counting measure is an intuitive way to put a measure on any set – the "size" of a is taken to be the number of elements in the subset if the subset has finitely many elements, and if the subset is .

The counting measure can be defined on any (that is, any set X along with a sigma-algebra) but is mostly used on sets.

In formal notation, we can turn any set X into a measurable space by taking the of X as the \Sigma; that is, all subsets of X are measurable sets. Then the counting measure \mu on this measurable space (X,\Sigma) is the positive measure \Sigma \to 0,+\infty defined by \mu(A) = \begin{cases} \vert A \vert & \text{if } A \text{ is finite}\\ +\infty & \text{if } A \text{ is infinite} \end{cases} for all A\in\Sigma, where \vert A\vert denotes the of the set A.

(2026). 9780521615259, Cambridge University Press.

The counting measure on (X,\Sigma) is σ-finite if and only if the space X is .

(2026). 9788791927447, Department of Mathematical Science, University of Copenhagen.


Integration on the set of natural numbers with counting measure
Take the measure space (\mathbb{N}, 2^\mathbb{N}, \mu), where 2^\mathbb{N} is the set of all subsets of the naturals and \mu the counting measure. Take any measurable f : \mathbb{N} \to 0,\infty. As it is defined on \mathbb{N}, f can be represented pointwise as f(x) = \sum_{n=1}^\infty f(n) 1_{\{n\}}(x) = \lim_{M \to \infty} \underbrace{ \ \sum_{n=1}^M f(n) 1_{\{n\}}(x) \ }_{ \phi_M (x) } = \lim_{M \to \infty} \phi_M (x)

Each \phi_M is measurable. Moreover \phi_{M+1}(x) = \phi_M (x) + f(M+1) \cdot 1_{ \{M+1\} }(x) \geq \phi_M (x) . Still further, as each \phi_M is a simple function \int_\mathbb{N} \phi_M d\mu = \int_\mathbb{N} \left( \sum_{n=1}^M f(n) 1_{\{n\}} (x) \right) d\mu = \sum_{n=1}^M f(n) \mu (\{n\}) = \sum_{n=1}^M f(n) \cdot 1 = \sum_{n=1}^M f(n) Hence by the monotone convergence theorem \int_\mathbb{N} f d\mu = \lim_{M \to \infty} \int_\mathbb{N} \phi_M d\mu = \lim_{M \to \infty} \sum_{n=1}^M f(n) = \sum_{n=1}^\infty f(n)


Discussion
The counting measure is a special case of a more general construction. With the notation as above, any function f : X \to [0, \infty) defines a measure \mu on (X, \Sigma) via \mu(A):=\sum_{a \in A} f(a)\quad \text{ for all } A \subseteq X, where the possibly uncountable sum of real numbers is defined to be the of the sums over all finite subsets, that is, \sum_{y\,\in\,Y\!\ \subseteq\,\mathbb R} y\ :=\ \sup_{F \subseteq Y,\, |F| < \infty} \left\{ \sum_{y \in F} y \right\}. Taking f(x) = 1 for all x \in X gives the counting measure.


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