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Bijection

Contents
Definition
Examples
    Batting line-up of a baseball or cricket team
    Seats and students of a classroom
    Fingerprints
More mathematical examples
Inverses
Composition
Gallery

Function
x ↦ f (x)
History of the function concept
Types by domain and codomain
 Classes/properties 
Constructions
Generalizations
List of specific functions
a∈A is the element a∈A in the domain such that g:Y→X, the inverse of x in y in

Definition

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For a binary relation pairing elements of set X with elements of set Y to be a bijection, four properties must hold:

  1. each element of X must be paired with at least one element of Y,
  2. no element of X may be paired with more than one element of Y,
  3. each element of Y must be paired with at least one element of X, and
  4. no element of Y may be paired with more than one element of X.

Satisfying properties (1) and (2) means that a pairing is a function with domain X. It is more common to see properties (1) and (2) written as a single statement: Every element of X is paired with exactly one element of Y. Functions which satisfy property (3) are said to be "onto Y " and are called surjections (or surjective functions). Functions which satisfy property (4) are said to be "one-to-one functions" and are called injections (or injective functions). With this terminology, a bijection is a function which is both a surjection and an injection, or using other words, a bijection is a function which is both "one-to-one" and "onto".

Examples

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Batting line-up of a baseball or cricket team

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Consider the batting line-up of a baseball or cricket team (or any list of all the players of any sports team where every player holds a specific spot in a line-up). The set X will be the players on the team (of size nine in the case of baseball) and the set Y will be the positions in the batting order (1st, 2nd, 3rd, etc.) The "pairing" is given by which player is in what position in this order. Property (1) is satisfied since each player is somewhere in the list. Property (2) is satisfied since no player bats in two (or more) positions in the order. Property (3) says that for each position in the order, there is some player batting in that position and property (4) states that two or more players are never batting in the same position in the list.

Seats and students of a classroom

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In a classroom, there are a certain number of seats. A group of students enter the room and the instructor asks them to be seated. After a quick look around the room, the instructor declares that there is a bijection between the set of students and the set of seats, where each student is paired with the seat they are sitting in. What the instructor observed in order to reach this conclusion was that:

  1. Every student was in a seat (there was no one standing),
  2. No student was in more than one seat,
  3. Every seat had someone sitting there (there were no empty seats), and
  4. No seat had more than one student in it.

The instructor was able to conclude that there were just as many seats as there were students, without having to count either set.

Fingerprints

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Consider a sample of 100 distinct individuals and the corresponding set of their fingerprints. Assuming that no two individuals in that sample share the same fingerprint, the set is one-to-one (injective). Furthermore, there aren’t any fingerprints without an individual; the set is onto (surjective). Since both sets have the same cardinality and the sets are injective and surjective, then it follows there’s a bijection between the set of individuals and their fingerprints.

More mathematical examples

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ℝ0+≡[0,∞), then h would be bijective; its inverse is the positive square root function.
  • By Schröder–Bernstein theorem, given any two sets X and Y, and two injective functions f: X → Y and g: Y → X, there exists a bijective function h: X → Y.
  • Every map from the empty set to itself is a bijection.
  • Inverses

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    A bijection f with domain X (indicated by f: X → Y in functional notation) also defines a converse relation starting in Y and going to X (by turning the arrows around). The process of "turning the arrows around" for an arbitrary function does not, in general, yield a function, but properties (3) and (4) of a bijection say that this inverse relation is a function with domain Y. Moreover, properties (1) and (2) then say that this inverse function is a surjection and an injection, that is, the inverse function exists and is also a bijection. Functions that have inverse functions are said to be invertible. A function is invertible if and only if it is a bijection.

    Stated in concise mathematical notation, a function f: X → Y is bijective if and only if it satisfies the condition

    for every y in Y there is a unique x in X with y = f(x).

    Continuing with the baseball batting line-up example, the function that is being defined takes as input the name of one of the players and outputs the position of that player in the batting order. Since this function is a bijection, it has an inverse function which takes as input a position in the batting order and outputs the player who will be batting in that position.

    Composition

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    f:X→Y and (g∘f)−1=(f−1)∘(g−1).

    Conversely, if the composition A′→B′ is a subset of B.

    When the partial bijection is on the same set, it is sometimes called a one-to-one partial transformation. An example is the Möbius transformation simply defined on the complex plane, rather than its completion to the extended complex plane.

    Gallery

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    1. ↑ Hall 1959, p. 3
    2. ↑ There are names associated to properties (1) and (2) as well. A relation which satisfies property (1) is called a total relation and a relation satisfying (2) is a single valued relation.
    3. ↑ "Bijection, Injection, And Surjection | Brilliant Math & Science Wiki". brilliant.org. Retrieved 7 December 2019.
    4. ↑ Pierre A. Grillet (1995). Semigroups: An Introduction to the Structure Theory. CRC Press. p. 228. ISBN 978-0-8247-9662-4.
    5. ↑ Hall, Marshall Jr. (1959). The Theory of Groups. MacMillan.
    6. Smith; Eggen; St.Andre (2006). A Transition to Advanced Mathematics (6th Ed.). Thomson (Brooks/Cole).
    7. Lay (2001). Analysis with an introduction to proof. Prentice Hall.
    8. Iglewicz; Stoyle. An Introduction to Mathematical Reasoning. MacMillan.
    9. Barnier; Feldman (2000). Introduction to Advanced Mathematics. Prentice Hall.

    10. View original on Wikipedia | Back | FazBrowse Home