View source for Collectively exhaustive events

{{no footnotes|date=September 2017}}
In [[probability theory]] and [[logic]], a [[Set (mathematics)|set]] of [[Event (probability theory)|events]] is '''jointly''' or '''collectively exhaustive''' if at least one of the events must occur.  For example, when rolling a [[dice|six-sided die]], the events 1, 2, 3, 4, 5, and 6 (each consisting of a single [[Outcome (probability)|outcome]]) are collectively exhaustive, because they encompass the entire range of possible outcomes.

Another way to describe collectively exhaustive events is that their [[Union (set theory)|union]] must cover all the events within the entire sample space. For example, events A and B are said to be collectively exhaustive if
:<math>A  \cup B = S</math>

where S is the [[sample space]].

Compare this to the concept of a set of [[mutually exclusive events]].  In such a set no more than one event can occur at a given time. (In some forms of mutual exclusion only one event can ever occur.) The set of all possible die rolls is both mutually exclusive and collectively exhaustive (i.e., "[[MECE principle|MECE]]"). The events 1 and 6 are mutually exclusive but not collectively exhaustive.  The events "even" (2,4 or 6) and "not-6" (1,2,3,4, or 5) are collectively exhaustive but not mutually exclusive. In some forms of mutual exclusion only one event can ever occur, whether collectively exhaustive or not. For example, tossing a particular biscuit for a group of several dogs cannot be repeated, no matter which dog snaps it up.

One example of an event that is both collectively exhaustive and mutually exclusive is tossing a coin. The outcome must be either heads or tails, or p (heads or tails) = 1, so the outcomes are collectively exhaustive. When heads occurs, tails can't occur, or p (heads and tails) = 0, so the outcomes are also mutually exclusive.

== History ==
The term "exhaustive" has been used in the literature since at least 1914. Here are a few examples:

The following appears as a footnote on page 23 of Couturat's text, ''The Algebra of Logic'' (1914):<ref>{{cite book|authors= Couturat, Louis & Gillingham Robinson, Lydia (Translator)|date= 1914|title= The Algebra of Logic|publisher= The Open Court Publishing Company|location= Chicago and London}}</ref>
:"As Mrs. LADD·FRANKLlN has truly remarked (BALDWIN, Dictionary of Philosophy and Psychology, article "Laws of Thought"<ref>{{cite news|author=Baldwin|date=1914|title=Laws of Thought|page=23|work=Dictionary of Philosophy and Psychology|}}</ref>), the principle of contradiction is not sufficient to define contradictories; the principle of excluded middle must be added which equally deserves the name of principle of contradiction. This is why Mrs. LADD-FRANKLIN proposes to call them respectively the principle of exclusion and the ''principle of exhaustion'', inasmuch as, according to the first, two contradictory terms are exclusive (the one of the other); and, according to the second, they are ''exhaustive (of the universe of discourse)''." (italics added for emphasis)

In [[Stephen Kleene]]'s discussion of [[cardinal number]]s, in ''Introduction to Metamathematics'' (1952), he uses the term "mutually exclusive" together with "exhaustive":<ref>{{cite book|author=Kleene, Stephen C. |date=1952|edition= 6th edition 1971|title=Introduction to Metamathematics|publisher= North-Holland Publishing Company|location= Amsterdam, NY|isbn=0 7204 2103 9}}</ref>

:"Hence, for any two cardinals M and N, the three relationships M < N, M = N and M > N are 'mutually exclusive', i.e. not more than one of them can hold. ¶ It does not appear till an advanced stage of the theory . . . whether they are '' 'exhaustive' '', i.e. whether at least one of the three must hold". (italics added for emphasis, Kleene 1952:11; original has double bars over the symbols M and N).

==See also==
* [[Event structure]]
* [[MECE principle]]
* [[Probability theory]]
* [[Set theory]]

==References==
{{reflist}}

==Additional sources==
*{{cite book|authors=Kemeny, et al., John G.|date=1959|edition=First|title=Finite Mathematical Structures|publisher=Prentice-Hall, Inc. |location=Englewood Cliffs, N.J. |asin=B0006AW17Y}} LCCCN: 59-12841
*{{cite book|author=Tarski, Alfred |date= 1941|edition= Reprint of 1946 2nd edition (paperback)|title=Introduction to Logic and to the Methodology of Deductive Sciences|publisher= Dover Publications, Inc|location= New York|isbn=0-486-28462-X}}

[[Category:Probability theory]]