In mathematics, an injective function (also known as injection, or one-to-one function) is a function f that maps distinct elements to distinct elements; that is, 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.
An injective non-surjective function (injection, not a bijection)
An injective surjective function (bijection)
A non-injective surjective function (surjection, not a bijection)
A non-injective non-surjective function (also not a bijection)
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.
Definition
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
Symbolically,

which is logically equivalent to the contrapositive,

Examples
Injective functions. Diagramatic interpretation in the Cartesian plane, defined by the mapping

where

domain of function,

range of function, and

denotes image of

Every one

in

maps to exactly one unique

in

The circled parts of the axes represent domain and range sets— in accordance with the standard diagrams above.
- 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.
Not an injective function. Here

and

are subsets of

and

are subsets of

: for two regions where the function is not injective because more than one domain element can map to a single range element. That is, it is possible for
more than one 
in

to map to the
same 
in

Making functions injective. The previous function

can be reduced to one or more injective functions (say)

and

shown by solid curves (long-dash parts of initial curve are not mapped to anymore). Notice how the rule

has not changed – only the domain and range.

and

are subsets of

and

are subsets of

: for two regions where the initial function can be made injective so that one domain element can map to a single range element. That is, only one

in

maps to one

in

Injections can be undone
Functions with left inverses are always injections. That is, given
if there is a function
such that for every
(
can be undone by
), then
is injective. In this case,
is called a retraction of
Conversely,
is called a section of 
Conversely, every injection
with non-empty domain has a left inverse
which can be defined by fixing an element
in the domain of
so that
equals the unique pre-image of
under
if it exists and
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.
Injections 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 range
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.
Other properties
- If
and
are both injective then
is injective.
The composition of two injective functions 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 
Proving 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.
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