In mathematics, an injective function (also known as injection, or one-to-one function[Sometimes one-one function, in Indian mathematical education. ] ) is a function that maps distinct elements of its domain to distinct elements of its codomain; that is, implies (equivalently by contraposition, implies ). In other words, every element of the function's codomain is the image of one element of its domain. The term must not be confused with 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 , an is also called a . 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 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
in the
Contraposition statement.
Symbolically,
which is logically equivalent to the Contraposition,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.
Examples
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 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 .
Injections 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
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 function 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 Inverse function, 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 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 are called partial bijections.
Other 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 in the category theory 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 . 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 set 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.
Gallery
See also
Notes
External links