In mathematics, the term linear function refers to two distinct but related notions:[1]
In calculus and related areas, a linear function is a function whose graph is a straight line, that is, a polynomial function of degree zero or one.[2] For distinguishing such a linear function from the other concept, the term affine function is often used.[3]
In linear algebra, mathematical analysis[4], and functional analysis, a linear function is a linear map.[5]
As a polynomial function
Main article: Linear function (calculus)
Graphs of two linear (polynomial) functions.
In calculus, analytic geometry and related areas, a linear function is a polynomial of degree one or less, including the zero polynomial (the latter not being considered to have degree zero).
When the function is of only one variable, it is of the form
\( f(x)=ax+b, \)
where a and b are constants, often real numbers. The graph of such a function of one variable is a nonvertical line. a is frequently referred to as the slope of the line, and b as the intercept.
For a function \( f(x_{1},\ldots ,x_{k}) of any finite number of independent variables, the general formula is
\( f(x_{1},\ldots ,x_{k})=b+a_{1}x_{1}+\ldots +a_{k}x_{k}, \)
and the graph is a hyperplane of dimension k.
A constant function is also considered linear in this context, as it is a polynomial of degree zero or is the zero polynomial. Its graph, when there is only one independent variable, is a horizontal line.
In this context, the other meaning (a linear map) may be referred to as a homogeneous linear function or a linear form. In the context of linear algebra, this meaning (polynomial functions of degree 0 or 1) is a special kind of affine map.
As a linear map
Main article: Linear map
The integral of a function is a linear map from the vector space of integrable functions to the real numbers.
In linear algebra, a linear function is a map f between two vector spaces that preserves vector addition and scalar multiplication:
\( f(\mathbf {x} +\mathbf {y} )=f(\mathbf {x} )+f(\mathbf {y} )\)
\( f(a\mathbf {x} )=af(\mathbf {x} ).\)
Here a denotes a constant belonging to some field K of scalars (for example, the real numbers) and x and y are elements of a vector space, which might be K itself.
Some authors use "linear function" only for linear maps that take values in the scalar field;[6] these are also called linear functionals.
The "linear functions" of calculus qualify as "linear maps" when (and only when) \( {\displaystyle f([0,\ldots ,0])=0} \), or, equivalently, when the constant } b=0. Geometrically, the graph of the function must pass through the origin.
See also
Homogeneous function
Nonlinear system
Piecewise linear function
Linear approximation
Linear interpolation
Discontinuous linear map
Linear least squares
Notes
"The term linear function means a linear form in some textbooks and an affine function in others." Vaserstein 2006, p. 50-1
Stewart 2012, p. 23
A. Kurosh (1975). Higher Algebra. Mir Publishers. p. 214.
T. M. Apostol (1981). Mathematical Analysis. Addison-Wesley. p. 345.
Shores 2007, p. 71
Gelfand 1961
References
Izrail Moiseevich Gelfand (1961), Lectures on Linear Algebra, Interscience Publishers, Inc., New York. Reprinted by Dover, 1989. ISBN 0-486-66082-6
Thomas S. Shores (2007), Applied Linear Algebra and Matrix Analysis, Undergraduate Texts in Mathematics, Springer. ISBN 0-387-33195-6
James Stewart (2012), Calculus: Early Transcendentals, edition 7E, Brooks/Cole. ISBN 978-0-538-49790-9
Leonid N. Vaserstein (2006), "Linear Programming", in Leslie Hogben, ed., Handbook of Linear Algebra, Discrete Mathematics and Its Applications, Chapman and Hall/CRC, chap. 50. ISBN 1-584-88510-6
Undergraduate Texts in Mathematics
Graduate Studies in Mathematics
Hellenica World - Scientific Library
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