翻訳と辞書
Words near each other
・ Inclusion and Democracy
・ Inclusion and exclusion criteria
・ Inclusion bodies
・ Inclusion Body Disease
・ Inclusion body myositis
・ Inclusion body rhinitis
・ Inclusion compound
・ Inclusion Films
・ Inclusion Healthcare
・ Inclusion Hill
・ Inclusion map
・ Inclusion Melbourne
・ Inclusion probability
・ Inclusionary zoning
・ Inclusionism
Inclusion–exclusion principle
・ Inclusive
・ Inclusive business
・ Inclusive business finance
・ Inclusive business model
・ Inclusive capitalism
・ Inclusive Church
・ Inclusive composite interval mapping
・ Inclusive Democracy
・ Inclusive Design Research Centre
・ Inclusive entrepreneurship
・ Inclusive fitness
・ Inclusive growth
・ Inclusive Management
・ Inclusive Masculinity


Dictionary Lists
翻訳と辞書 辞書検索 [ 開発暫定版 ]
スポンサード リンク

Inclusion–exclusion principle : ウィキペディア英語版
Inclusion–exclusion principle

In combinatorics (combinatorial mathematics), the inclusion–exclusion principle is a counting technique which generalizes the familiar method of obtaining the number of elements in the union of two finite sets; symbolically expressed as
: |A \cup B| = |A| + |B| - |A \cap B|,
where ''A'' and ''B'' are two finite sets and |''S''| indicates the cardinality of a set ''S'' (which may be considered as the number of elements of the set, if the set is finite). The formula expresses the fact that the sum of the sizes of the two sets may be too large since some elements may be counted twice. The double-counted elements are those in the intersection of the two sets and the count is corrected by subtracting the size of the intersection.
The principle is more clearly seen in the case of three sets, which for the sets ''A'', ''B'' and ''C'' is given by
:|A \cup B \cup C| = |A| + |B| + |C| - |A \cap B| - |A \cap C| - |B \cap C| + |A \cap B \cap C|.
This formula can be verified by counting how many times each region in the Venn diagram figure is included in the right-hand side of the formula. In this case, when removing the contributions of over-counted elements, the number of elements in the mutual intersection of the three sets has been subtracted too often, so must be added back in to get the correct total.
Generalizing the results of these examples gives the principle of inclusion–exclusion. To find the cardinality of the union of sets:
# Include the cardinalities of the sets.
# Exclude the cardinalities of the pairwise intersections.
# Include the cardinalities of the triple-wise intersections.
# Exclude the cardinalities of the quadruple-wise intersections.
# Include the cardinalities of the quintuple-wise intersections.
# Continue, until the cardinality of the -tuple-wise intersection is included (if is odd) or excluded ( even).
The name comes from the idea that the principle is based on over-generous ''inclusion'', followed by compensating ''exclusion''.
This concept is attributed to Abraham de Moivre (1718); but it first appears in a paper of Daniel da Silva (1854), and later in a paper by J. J. Sylvester (1883). Sometimes the principle is referred to as the formula of Da Silva, or Sylvester due to these publications. The principle is an example of the sieve method extensively used in number theory and is sometimes referred to as the ''sieve formula'', though Legendre already used a similar device in a sieve context in 1808.
As finite probabilities are computed as counts relative to the cardinality of the probability space, the formulas for the principle of inclusion–exclusion remain valid when the cardinalities of the sets are replaced by finite probabilities. More generally, both versions of the principle can be put under the common umbrella of measure theory.
In a very abstract setting, the principle of inclusion–exclusion can be expressed as the calculation of the inverse of a certain matrix. This inverse has a special structure, making the principle an extremely valuable technique in combinatorics and related areas of mathematics. As Gian-Carlo Rota put it:
"One of the most useful principles of enumeration in discrete probability and combinatorial theory is the celebrated principle of inclusion–exclusion. When skillfully applied, this principle has yielded the solution to many a combinatorial problem."

==Statement==
In its general form, the principle of inclusion–exclusion states that for finite sets , one has the identity
This can be compactly written as
:::
\Biggl|\bigcup_^n A_i\Biggr| = \sum_^ (-1)^ \left( \sum_ \leq n} \left| A_} \right| \right)

or
:::
\Biggl|\bigcup_^n A_i\Biggr| = \sum_\Biggl|\bigcap_ A_j\Biggr|.

In words, to count the number of elements in a finite union of finite sets, first sum the cardinalities of the individual sets, then subtract the number of elements which appear in more than one set, then add back the number of elements which appear in more than two sets, then subtract the number of elements which appear in more than three sets, and so on. This process naturally ends since there can be no elements which appear in more than the number of sets in the union.
In applications it is common to see the principle expressed in its complementary form. That is, letting be a finite universal set containing all of the and letting \bar denote the complement of in , by De Morgan's laws we have
:
\biggl|\bigcap_^n \bar\biggr| = \biggl|S - \bigcup_^n A_i\biggr| = \left| S \right|\; - \sum_^n\left|A_i\right|\;
+\sum_\left|A_i\cap A_j\right|\;
-\; \ldots\ +\; \left(-1\right)^ \left|A_1\cap\cdots\cap A_n\right|.

As another variant of the statement, let be a list of properties that elements of a set may or may not have, then the principle of inclusion–exclusion provides a way to calculate the number of elements of which have none of the properties. Just let be the subset of elements of which have the property and use the principle in its complementary form. This variant is due to J.J. Sylvester.〔

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
ウィキペディアで「Inclusion–exclusion principle」の詳細全文を読む



スポンサード リンク
翻訳と辞書 : 翻訳のためのインターネットリソース

Copyright(C) kotoba.ne.jp 1997-2016. All Rights Reserved.