Injective function
Function that preserves distinctness
In mathematics, an injective function (also known as injection, or one-to-one function) is a function f that maps distinct elements of its domain to distinct elements of its codomain; that is, x1 ≠ x2 implies f(x1) ≠ f(x2) (equivalently by contraposition, f(x1) = f(x2) implies x1 = x2). In other words, every element of the function's codomain is the image of at most one element of its domain. 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.
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. 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.
01Definition
Let be a function whose domain is a set
. The function
is said to be injective provided that for all
and
in
if
, then
; that is,
implies
. Equivalently, if
, then
in the contrapositive statement.
Symbolically,
which is logically equivalent to the contrapositive,
An injective function (or, more generally, a monomorphism) is often denoted by using the specialized arrows ↣ or ↪ (for example,
or
), although some authors specifically reserve ↪ for an inclusion map.

02Examples
For visual examples, readers are directed to the gallery section.
- For any set
and any subset
, the inclusion map
(which sends any element
to itself) is injective. In particular, the identity function
is always injective (and in fact bijective).
- If the domain of a function is the empty set, then the function is the empty function, which is injective.
- If the domain of a function has one element (that is, it is a singleton set), then the function is always injective.
- 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 exponential function
defined by
is injective (but not surjective, as no real value maps to a negative number).
- The natural logarithm function
defined by
is injective.
- The function
defined by
is not injective, since, for example,
.
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.
03Injections can be undone
Functions with left inverses are always injections. That is, given , if there is a function
such that for every
,
, then
is injective. The proof is that
In this case, is called a retraction of
. Conversely,
is called a section of
.
For example:
is retracted by
.
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).
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.
04Injections may be made invertible
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.

05Other properties
- 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 monomorphisms in the category Set of sets.
- If
is injective and
is a subset of
, then
. Thus,
can be recovered from its image
.
- 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 up to isomorphism, and
may be thought of as the inclusion function of the range
of
as a subset of the codomain
of
.
- If
is an injective function, then
has at least as many elements as
in the sense of cardinal numbers. 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.)
- If both
and
are finite with the same number of elements, then
is injective if and only if
is surjective (in which case
is bijective).
- 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
.
06Proving that functions are injective
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
.
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.
Sources and credits
This article is adapted from the Wikipedia article “Injective function”, written by its contributors and licensed under CC BY-SA 4.0. Fathomly has changed the layout, removed citation markers, navigation and maintenance notices, and adjusted punctuation. This adapted version is shared under the same license. For references, see the original article.
Images, from Wikimedia Commons:
- Injection.svg by Unknown author, Public domain
- Injective composition2.svg by Oleg Alexandrov, Public domain
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