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mathematics Mathematics is a field of study that discovers and organizes methods, Mathematical theory, theories and theorems that are developed and Mathematical proof, proved for the needs of empirical sciences and mathematics itself. There are many ar ...
, specifically
measure theory In mathematics, the concept of a measure is a generalization and formalization of geometrical measures (length, area, volume) and other common notions, such as magnitude (mathematics), magnitude, mass, and probability of events. These seemingl ...
, the counting measure is an intuitive way to put a measure on any
set Set, The Set, SET or SETS may refer to: Science, technology, and mathematics Mathematics *Set (mathematics), a collection of elements *Category of sets, the category whose objects and morphisms are sets and total functions, respectively Electro ...
– the "size" of a
subset In mathematics, a Set (mathematics), set ''A'' is a subset of a set ''B'' if all Element (mathematics), elements of ''A'' are also elements of ''B''; ''B'' is then a superset of ''A''. It is possible for ''A'' and ''B'' to be equal; if they a ...
is taken to be the number of elements in the subset if the subset has finitely many elements, and infinity \infty if the subset is infinite. The counting measure can be defined on any measurable space (that is, any set X along with a sigma-algebra) but is mostly used on
countable In mathematics, a Set (mathematics), set is countable if either it is finite set, finite or it can be made in one to one correspondence with the set of natural numbers. Equivalently, a set is ''countable'' if there exists an injective function fro ...
sets. In formal notation, we can turn any set X into a measurable space by taking the
power set In mathematics, the power set (or powerset) of a set is the set of all subsets of , including the empty set and itself. In axiomatic set theory (as developed, for example, in the ZFC axioms), the existence of the power set of any set is po ...
of X as the sigma-algebra \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 ,+\infty/math> defined by \mu(A) = \begin \vert A \vert & \text A \text\\ +\infty & \text A \text \end for all A\in\Sigma, where \vert A\vert denotes the
cardinality The thumb is the first digit of the hand, next to the index finger. When a person is standing in the medical anatomical position (where the palm is facing to the front), the thumb is the outermost digit. The Medical Latin English noun for thum ...
of the set A. The counting measure on (X,\Sigma) is σ-finite if and only if the space X is
countable In mathematics, a Set (mathematics), set is countable if either it is finite set, finite or it can be made in one to one correspondence with the set of natural numbers. Equivalently, a set is ''countable'' if there exists an injective function fro ...
.


Integration on the set of natural numbers with counting measure

Take the measure space (\mathbb, 2^\mathbb, \mu), where 2^\mathbb is the set of all subsets of the naturals and \mu the counting measure. Take any measurable f : \mathbb \to ,\infty/math>. As it is defined on \mathbb, f can be represented pointwise as f(x) = \sum_^\infty f(n) 1_(x) = \lim_ \underbrace_ = \lim_ \phi_M (x) Each \phi_M is measurable. Moreover \phi_(x) = \phi_M (x) + f(M+1) \cdot 1_(x) \geq \phi_M (x) . Still further, as each \phi_M is a simple function \int_\mathbb \phi_M d\mu = \int_\mathbb \left( \sum_^M f(n) 1_ (x) \right) d\mu = \sum_^M f(n) \mu (\) = \sum_^M f(n) \cdot 1 = \sum_^M f(n) Hence by the monotone convergence theorem \int_\mathbb f d\mu = \lim_ \int_\mathbb \phi_M d\mu = \lim_ \sum_^M f(n) = \sum_^\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_ f(a)\quad \text A \subseteq X, where the possibly uncountable sum of real numbers is defined to be the supremum of the sums over all finite subsets, that is, \sum_ y\ :=\ \sup_ \left\. Taking f(x) = 1 for all x \in X gives the counting measure.


See also

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References

Measures (measure theory) {{DEFAULTSORT:Counting Measure