For graph-theoretic representation of a function, see Functional graph.
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Function
x ↦ f (x)
History of the function concept
Examples of domains and codomains
→,→,→
→,→
→,→,→
→,→,→
Classes/properties
Constant
Identity
Linear
Polynomial
Rational
Algebraic
Analytic
Smooth
Continuous
Measurable
Injective
Surjective
Bijective
Constructions
Restriction
Composition
λ
Inverse
Generalizations
Binary relation
Partial
Multivalued
Implicit
Space
v
t
e
In mathematics, the graph of a function is the set of ordered pairs , where In the common case where and are real numbers, these pairs are Cartesian coordinates of points in a plane and often form a curve.
The graphical representation of the graph of a function is also known as a plot.
In the case of functions of two variables – that is, functions whose domain consists of pairs –, the graph usually refers to the set of ordered triples where . This is a subset of three-dimensional space; for a continuous real-valued function of two real variables, its graph forms a surface, which can be visualized as a surface plot.
In science, engineering, technology, finance, and other areas, graphs are tools used for many purposes. In the simplest case one variable is plotted as a function of another, typically using rectangular axes; see Plot (graphics) for details.
A graph of a function is a special case of a relation.
In the modern foundations of mathematics, and, typically, in set theory, a function is actually equal to its graph.[1] However, it is often useful to see functions as mappings,[2] which consist not only of the relation between input and output, but also which set is the domain, and which set is the codomain. For example, to say that a function is onto (surjective) or not the codomain should be taken into account. The graph of a function on its own does not determine the codomain. It is common[3] to use both terms function and graph of a function since even if considered the same object, they indicate viewing it from a different perspective.
^Charles C Pinter (2014) [1971]. A Book of Set Theory. Dover Publications. p. 49. ISBN 978-0-486-79549-2.
^T. M. Apostol (1981). Mathematical Analysis. Addison-Wesley. p. 35.
^P. R. Halmos (1982). A Hilbert Space Problem Book. Springer-Verlag. p. 31. ISBN 0-387-90685-1.
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