Graph Of A Function - Wikipedia

Representation of a mathematical function For graph-theoretic interpretation of a function, see Functional graph.
iconThis article needs additional citations for verification. Please help improve this article by adding citations to reliable sources. Unsourced material may be challenged and removed.Find sources: "Graph of a function" – news · newspapers · books · scholar · JSTOR (August 2014) (Learn how and when to remove this message)
Graph of the function f ( x ) = x 3 + 3 x 2 − 6 x − 8 4 . {\displaystyle f(x)={\frac {x^{3}+3x^{2}-6x-8}{4}}.}
Function
xf (x)
History of the function concept
Types by domain and codomain
X𝔹 𝔹X 𝔹nX X X X X ℝnX X X ℂnX
 Classes/properties 
Constant Identity Linear Polynomial Rational Algebraic Analytic Smooth Continuous Measurable Injective Surjective Bijective
Constructions
  • Restriction
  • Composition
  • λ
  • Inverse
Generalizations
  • Relation (Binary relation)
  • Set-valued
  • Multivalued
  • Partial
  • Implicit
  • Space
  • Higher-order
  • Morphism
  • Functor
List of specific functions
  • v
  • t
  • e

In mathematics, the graph of a function f {\displaystyle f} is the set of ordered pairs ( x , y ) {\displaystyle (x,y)} , where f ( x ) = y . {\displaystyle f(x)=y.} In the common case where x {\displaystyle x} and f ( x ) {\displaystyle f(x)} 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 ( x , y ) {\displaystyle (x,y)} –, the graph usually refers to the set of ordered triples ( x , y , z ) {\displaystyle (x,y,z)} where f ( x , y ) = z {\displaystyle f(x,y)=z} . 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.

Definition

[edit]

Given a function f : X → Y {\displaystyle f:X\to Y} from a set X (the domain) to a set Y (the codomain), the graph of the function is the set[4] G ( f ) = { ( x , f ( x ) ) : x ∈ X } , {\displaystyle G(f)=\{(x,f(x)):x\in X\},} which is a subset of the Cartesian product X × Y {\displaystyle X\times Y} . In the definition of a function in terms of set theory, it is common to identify a function with its graph, although, formally, a function is formed by the triple consisting of its domain, its codomain and its graph.

Examples

[edit]

Functions of one variable

[edit]
Graph of the function f ( x ) = x 4 − 4 x {\displaystyle f(x)=x^{4}-4^{x}} over the interval [−2,+3]. Also shown are the two real roots and the local minimum that are in the interval.

The graph of the function f : { 1 , 2 , 3 } → { a , b , c , d } {\displaystyle f:\{1,2,3\}\to \{a,b,c,d\}} defined by f ( x ) = { a , if  x = 1 , d , if  x = 2 , c , if  x = 3 , {\displaystyle f(x)={\begin{cases}a,&{\text{if }}x=1,\\d,&{\text{if }}x=2,\\c,&{\text{if }}x=3,\end{cases}}} is the subset of the set { 1 , 2 , 3 } × { a , b , c , d } {\displaystyle \{1,2,3\}\times \{a,b,c,d\}} G ( f ) = { ( 1 , a ) , ( 2 , d ) , ( 3 , c ) } . {\displaystyle G(f)=\{(1,a),(2,d),(3,c)\}.}

From the graph, the domain { 1 , 2 , 3 } {\displaystyle \{1,2,3\}} is recovered as the set of first component of each pair in the graph { 1 , 2 , 3 } = { x :   ∃ y ,  such that  ( x , y ) ∈ G ( f ) } {\displaystyle \{1,2,3\}=\{x:\ \exists y,{\text{ such that }}(x,y)\in G(f)\}} . Similarly, the range can be recovered as { a , c , d } = { y : ∃ x ,  such that  ( x , y ) ∈ G ( f ) } {\displaystyle \{a,c,d\}=\{y:\exists x,{\text{ such that }}(x,y)\in G(f)\}} . The codomain { a , b , c , d } {\displaystyle \{a,b,c,d\}} , however, cannot be determined from the graph alone.

The graph of the cubic polynomial on the real line f ( x ) = x 3 − 9 x {\displaystyle f(x)=x^{3}-9x} is { ( x , x 3 − 9 x ) : x  is a real number } . {\displaystyle \{(x,x^{3}-9x):x{\text{ is a real number}}\}.}

If this set is plotted on a Cartesian plane, the result is a curve (see figure).

Functions of two variables

[edit] Further information: Bivariate surface
Plot of the graph of f ( x , y ) = − ( cos ⁡ ( x 2 ) + cos ⁡ ( y 2 ) ) 2 , {\displaystyle f(x,y)=-\left(\cos \left(x^{2}\right)+\cos \left(y^{2}\right)\right)^{2},} also showing its gradient projected on the bottom plane.

The graph of the trigonometric function f ( x , y ) = sin ⁡ ( x 2 ) cos ⁡ ( y 2 ) {\displaystyle f(x,y)=\sin(x^{2})\cos(y^{2})} is { ( x , y , sin ⁡ ( x 2 ) cos ⁡ ( y 2 ) ) : x  and  y  are real numbers } . {\displaystyle \{(x,y,\sin(x^{2})\cos(y^{2})):x{\text{ and }}y{\text{ are real numbers}}\}.}

If this set is plotted on a three dimensional Cartesian coordinate system, the result is a surface (see figure).

Oftentimes it is helpful to show with the graph, the gradient of the function and several level curves. The level curves can be mapped on the function surface or can be projected on the bottom plane. The second figure shows such a drawing of the graph of the function: f ( x , y ) = − ( cos ⁡ ( x 2 ) + cos ⁡ ( y 2 ) ) 2 . {\displaystyle f(x,y)=-(\cos(x^{2})+\cos(y^{2}))^{2}.}

See also

[edit]
  • Asymptote
  • Chart
  • Plot
  • Concave function
  • Convex function
  • Contour plot
  • Critical point
  • Derivative
  • Epigraph
  • Normal to a graph
  • Slope
  • Stationary point
  • Tetraview
  • Vertical translation
  • y-intercept

References

[edit]
  1. ^ Pinter, Charles C. (2014) [1971]. A Book of Set Theory. Dover Publications. p. 49. ISBN 978-0-486-79549-2.
  2. ^ Apostol, T. M. (1981). Mathematical Analysis. Addison-Wesley. p. 35.
  3. ^ Halmos, P. R. (1982). A Hilbert Space Problem Book. Springer-Verlag. p. 31. ISBN 0-387-90685-1.
  4. ^ Bridges, D. S. (1991). Foundations of Real and Abstract Analysis. Springer. p. 285. ISBN 0-387-98239-6.

Further reading

[edit]
  • Zălinescu, Constantin (30 July 2002). Convex Analysis in General Vector Spaces. River Edge, N.J. London: World Scientific Publishing. ISBN 978-981-4488-15-0. MR 1921556. OCLC 285163112 – via Internet Archive.
[edit] Wikimedia Commons has media related to Function plots.
  • Weisstein, Eric W. "Function Graph." From MathWorld—A Wolfram Web Resource.
  • v
  • t
  • e
Calculus
Precalculus
  • Binomial theorem
  • Concave function
  • Continuous function
  • Factorial
  • Finite difference
  • Free variables and bound variables
  • Graph of a function
  • Linear function
  • Radian
  • Rolle's theorem
  • Secant
  • Slope
  • Tangent
Limits
  • Indeterminate form
  • Limit of a function
    • One-sided limit
  • Limit of a sequence
  • Order of approximation
  • (ε, δ)-definition of limit
Differential calculus
  • Derivative
  • Second derivative
  • Partial derivative
  • Differential
  • Differential operator
  • Mean value theorem
  • Notation
    • Leibniz's notation
    • Newton's notation
  • Rules of differentiation
    • linearity
    • Power
    • Sum
    • Chain
    • L'Hôpital's
    • Product
      • General Leibniz's rule
    • Quotient
  • Other techniques
    • Implicit differentiation
    • Inverse function rule
    • Logarithmic derivative
    • Related rates
  • Stationary points
    • First derivative test
    • Second derivative test
    • Extreme value theorem
    • Maximum and minimum
  • Further applications
    • Newton's method
    • Taylor's theorem
  • Differential equation
    • Ordinary differential equation
    • Partial differential equation
    • Stochastic differential equation
Integral calculus
  • Antiderivative
  • Arc length
  • Riemann integral
  • Basic properties
  • Constant of integration
  • Fundamental theorem of calculus
    • Differentiating under the integral sign
  • Integration by parts
  • Integration by substitution
    • trigonometric
    • Euler
    • Tangent half-angle substitution
  • Partial fractions in integration
    • Quadratic integral
  • Trapezoidal rule
  • Volumes
    • Washer method
    • Shell method
  • Integral equation
  • Integro-differential equation
Vector calculus
  • Derivatives
    • Curl
    • Directional derivative
    • Divergence
    • Gradient
    • Laplacian
  • Basic theorems
    • Line integrals
    • Green's
    • Stokes'
    • Gauss'
Multivariable calculus
  • Divergence theorem
  • Geometric
  • Hessian matrix
  • Jacobian matrix and determinant
  • Lagrange multiplier
  • Line integral
  • Matrix
  • Multiple integral
  • Partial derivative
  • Surface integral
  • Volume integral
  • Advanced topics
    • Differential forms
    • Exterior derivative
    • Generalized Stokes' theorem
    • Tensor calculus
Sequences and series
  • Arithmetico-geometric sequence
  • Types of series
    • Alternating
    • Binomial
    • Fourier
    • Geometric
    • Harmonic
    • Infinite
    • Power
      • Maclaurin
      • Taylor
    • Telescoping
  • Tests of convergence
    • Abel's
    • Alternating series
    • Cauchy condensation
    • Direct comparison
    • Dirichlet's
    • Integral
    • Limit comparison
    • Ratio
    • Root
    • Term
Special functionsand numbers
  • Bernoulli numbers
  • e (mathematical constant)
  • Exponential function
  • Natural logarithm
  • Stirling's approximation
History of calculus
  • Adequality
  • Brook Taylor
  • Colin Maclaurin
  • Generality of algebra
  • Gottfried Wilhelm Leibniz
  • Infinitesimal
  • Infinitesimal calculus
  • Isaac Newton
  • Fluxion
  • Law of Continuity
  • Leonhard Euler
  • Method of Fluxions
  • The Method of Mechanical Theorems
Lists
Integrals
  • rational functions
  • irrational algebraic functions
  • exponential functions
  • logarithmic functions
  • hyperbolic functions
    • inverse
  • trigonometric functions
    • inverse
    • Secant
    • Secant cubed
  • List of limits
  • List of derivatives
Miscellaneous topics
  • Complex calculus
    • Contour integral
  • Differential geometry
    • Manifold
    • Curvature
    • of curves
    • of surfaces
    • Tensor
  • Euler–Maclaurin formula
  • Gabriel's horn
  • Integration Bee
  • Proof that 22/7 exceeds π
  • Regiomontanus' angle maximization problem
  • Steinmetz solid
  • v
  • t
  • e
Visualization of technical information
Fields
  • Biological data visualization
  • Chemical imaging
  • Crime mapping
  • Data visualization
  • Educational visualization
  • Flow visualization
  • Geovisualization
  • Information visualization
  • Mathematical visualization
  • Medical imaging
  • Molecular graphics
  • Product visualization
  • Scientific visualization
  • Social visualization
  • Software visualization
  • Technical drawing
  • User interface design
  • Visual analytics
  • Visual culture
  • Volume visualization
Image types
  • Chart
  • Diagram
  • Engineering drawing
  • Graph of a function
  • Ideogram
  • Map
  • Photograph
  • Pictogram
  • Plot
  • Sankey diagram
  • Schematic
  • Skeletal formula
  • Statistical graphics
  • Table
  • Technical drawings
  • Technical illustration
People
Pre-19th century
  • Edmond Halley
  • Charles-René de Fourcroy
  • Joseph Priestley
  • Gaspard Monge
19th century
  • Charles Dupin
  • Adolphe Quetelet
  • André-Michel Guerry
  • William Playfair
  • August Kekulé
  • Charles Joseph Minard
  • Francis Amasa Walker
  • John Venn
  • Oliver Byrne
  • Matthew Sankey
  • Charles Booth
  • John Snow
  • Florence Nightingale
  • Karl Wilhelm Pohlke
  • Toussaint Loua
  • Francis Galton
Early 20th century
  • Edward Walter Maunder
  • Otto Neurath
  • W. E. B. Du Bois
  • Henry Gantt
  • Arthur Lyon Bowley
  • Howard G. Funkhouser
  • John B. Peddle
  • Ejnar Hertzsprung
  • Henry Norris Russell
  • Max O. Lorenz
  • Fritz Kahn
  • Harry Beck
  • Erwin Raisz
Mid 20th century
  • Jacques Bertin
  • Rudolf Modley
  • Arthur H. Robinson
  • John Tukey
  • Mary Eleanor Spear
  • Edgar Anderson
  • Howard T. Fisher
Late 20th century
  • Borden Dent
  • Nigel Holmes
  • William S. Cleveland
  • George G. Robertson
  • Bruce H. McCormick
  • Catherine Plaisant
  • Stuart Card
  • Pat Hanrahan
  • Edward Tufte
  • Ben Shneiderman
  • Michael Friendly
  • Howard Wainer
  • Clifford A. Pickover
  • Lawrence J. Rosenblum
  • Thomas A. DeFanti
  • George Furnas
  • Sheelagh Carpendale
  • Cynthia Brewer
  • Jock D. Mackinlay
  • Alan MacEachren
  • David Goodsell
  • Kwan-Liu Ma
  • Michael Maltz
  • Leland Wilkinson
  • Alfred Inselberg
Early 21st century
  • Ben Fry
  • Jeffrey Heer
  • Jessica Hullman
  • Daniel A. Keim
  • Gordon Kindlmann
  • Aaron Koblin
  • Christopher R. Johnson
  • Manuel Lima
  • David McCandless
  • Mauro Martino
  • John Maeda
  • Miriah Meyer
  • Tamara Munzner
  • Ade Olufeko
  • Hanspeter Pfister
  • Hans Rosling
  • Claudio Silva
  • Moritz Stefaner
  • Fernanda Viégas
  • Martin Wattenberg
  • Bang Wong
  • Hadley Wickham
Related topics
  • Cartography
  • Chartjunk
  • Color coding
  • Computer graphics
    • in computer science
  • CPK coloring
  • Graph drawing
  • Graphic design
  • Graphic organizer
  • Imaging
  • Information art
  • Information graphics
  • Information science
  • Misleading graph
  • Neuroimaging
  • Patent drawing
  • Scientific modelling
  • Spatial analysis
  • Visual perception
  • Virtual unfolding
  • Volume rendering
Authority control databases: National Edit this at Wikidata
  • Czech Republic

Tag » How To Know If A Graph Is A Function