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Injective function

In mathematics, an injective function (also known as injection, or one-to-one function[1] ) is a function f that maps distinct elements of its domain to distinct elements; that is, x1x2 implies f(x1) ≠ f(x2). (Equivalently, f(x1) = f(x2) implies x1 = x2 in the equivalent contrapositive statement.) In other words, every element of the function's codomain is the image of at most one element of its domain.[2] The term one-to-one function must not be confused with one-to-one correspondence that refers to bijective functions, which are functions such that each element in the codomain is an image of exactly one element in the domain.

"Injective" redirects here. For other uses, see Injective module and Injective object.

A homomorphism between algebraic structures is a function that is compatible with the operations of the structures. For all common algebraic structures, and, in particular for vector spaces, an injective homomorphism is also called a monomorphism. However, in the more general context of category theory, the definition of a monomorphism differs from that of an injective homomorphism.[3] This is thus a theorem that they are equivalent for algebraic structures; see Homomorphism § Monomorphism for more details.


A function that is not injective is sometimes called many-to-one.[2]

For any set and any subset the (which sends any element to itself) is injective. In particular, the identity function is always injective (and in fact bijective).

inclusion map

If the domain of a function is the , then the function is the empty function, which is injective.

empty set

If the domain of a function has one element (that is, it is a ), then the function is always injective.

singleton set

The function defined by is injective.

The function defined by is not injective, because (for example) However, if is redefined so that its domain is the non-negative real numbers [0,+∞), then is injective.

The defined by is injective (but not surjective, as no real value maps to a negative number).

exponential function

The function defined by is injective.

natural logarithm

The function defined by is not injective, since, for example,

For visual examples, readers are directed to the gallery section.


More generally, when and are both the real line then an injective function is one whose graph is never intersected by any horizontal line more than once. This principle is referred to as the horizontal line test.[2]

Injections can be undone[edit]

Functions with left inverses are always injections. That is, given if there is a function such that for every , , then is injective. In this case, is called a retraction of Conversely, is called a section of


Conversely, every injection with a non-empty domain has a left inverse . It can be defined by choosing an element in the domain of and setting to the unique element of the pre-image (if it is non-empty) or to (otherwise).[5]


The left inverse is not necessarily an inverse of because the composition in the other order, may differ from the identity on In other words, an injective function can be "reversed" by a left inverse, but is not necessarily invertible, which requires that the function is bijective.

Injections may be made invertible[edit]

In fact, to turn an injective function into a bijective (hence invertible) function, it suffices to replace its codomain by its actual image That is, let such that for all ; then is bijective. Indeed, can be factored as where is the inclusion function from into


More generally, injective partial functions are called partial bijections.

If and are both injective then is injective.

If is injective, then is injective (but need not be).

is injective if and only if, given any functions whenever then In other words, injective functions are precisely the in the category Set of sets.

monomorphisms

If is injective and is a of then Thus, can be recovered from its image

subset

If is injective and and are both subsets of then

Every function can be decomposed as for a suitable injection and surjection This decomposition is unique , and may be thought of as the inclusion function of the range of as a subset of the codomain of

up to isomorphism

If is an injective function, then has at least as many elements as in the sense of . In particular, if, in addition, there is an injection from to then and have the same cardinal number. (This is known as the Cantor–Bernstein–Schroeder theorem.)

cardinal numbers

If both and are with the same number of elements, then is injective if and only if is surjective (in which case is bijective).

finite

An injective function which is a homomorphism between two algebraic structures is an .

embedding

Unlike surjectivity, which is a relation between the graph of a function and its codomain, injectivity is a property of the graph of the function alone; that is, whether a function is injective can be decided by only considering the graph (and not the codomain) of

Proving that functions are injective[edit]

A proof that a function is injective depends on how the function is presented and what properties the function holds. For functions that are given by some formula there is a basic idea. We use the definition of injectivity, namely that if then [6]


Here is an example:


Proof: Let Suppose So implies which implies Therefore, it follows from the definition that is injective.


There are multiple other methods of proving that a function is injective. For example, in calculus if is a differentiable function defined on some interval, then it is sufficient to show that the derivative is always positive or always negative on that interval. In linear algebra, if is a linear transformation it is sufficient to show that the kernel of contains only the zero vector. If is a function with finite domain it is sufficient to look through the list of images of each domain element and check that no image occurs twice on the list.


A graphical approach for a real-valued function of a real variable is the horizontal line test. If every horizontal line intersects the curve of in at most one point, then is injective or one-to-one.

 – Properties of mathematical functions

Bijection, injection and surjection

 – Type of metric space

Injective metric space

 – Order-preserving mathematical function

Monotonic function

 – mathematical concept

Univalent function

Bartle, Robert G. (1976), The Elements of Real Analysis (2nd ed.), New York: , ISBN 978-0-471-05464-1, p. 17 ff.

John Wiley & Sons

(1974), Naive Set Theory, New York: Springer, ISBN 978-0-387-90092-6, p. 38 ff.

Halmos, Paul R.

Earliest Uses of Some of the Words of Mathematics: entry on Injection, Surjection and Bijection has the history of Injection and related terms.

Khan Academy – Surjective (onto) and Injective (one-to-one) functions: Introduction to surjective and injective functions