Identity function

Graph of the identity function on the real numbers

In mathematics, an identity function, also called an identity relation or identity map or identity transformation, is a function that always returns the same value that was used as its argument. In equations, the function is given by f(x) = x.

Definition

Formally, if M is a set, the identity function f on M is defined to be that function with domain and codomain M which satisfies

f(x) = x    for all elements x in M.^[1]

In other words, the function assigns to each element x of M the element x of M.

The identity function f on M is often denoted by id_M.

In set theory, where a function is defined as a particular kind of binary relation, the identity function is given by the identity relation, or diagonal of M.

Algebraic property

If f : M → N is any function, then we have f ∘ id_M = f = id_N ∘ f (where "∘" denotes function composition). In particular, id_M is the identity element of the monoid of all functions from M to M.

Since the identity element of a monoid is unique, one can alternately define the identity function on M to be this identity element. Such a definition generalizes to the concept of an identity morphism in category theory, where the endomorphisms of M need not be functions.

Properties

• The identity function is a linear operator, when applied to vector spaces.^[2]
• The identity function on the positive integers is a completely multiplicative function (essentially multiplication by 1), considered in number theory.^[3]
• In an n-dimensional vector space the identity function is represented by the identity matrix I_n, regardless of the basis.^[4]
• In a metric space the identity is trivially an isometry. An object without any symmetry has as symmetry group the trivial group only containing this isometry (symmetry type C₁).^[5]

See also

• Inclusion map

References

1. Knapp, Anthony W. (2006), Basic algebra, Springer, ISBN 978-0-8176-3248-9
2. Anton, Howard (2005), Elementary Linear Algebra (Applications Version) (9th ed.), Wiley International
3. D. Marshall, E. Odell, and M. Starbird (2007). Number Theory through Inquiry. Mathematical Association of America Textbooks. Mathematical Assn of Amer. ISBN 978-0883857519.
4. T. S. Shores (2007). Applied Linear Algebra and Matrix Analysis. Undergraduate Texts in Mathematics. Springer. ISBN 038-733-195-6.
5. James W. Anderson, Hyperbolic Geometry, Springer 2005, ISBN 1-85233-934-9