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Linear function

From Quire, the open reference·Linear map or polynomial function of degree one·3 min read

In mathematics, the term linear function refers to two distinct but related notions:[1]

As a polynomial function#edit

Graphs of two linear functions.
Graphs of two linear functions. Image: source and license

In calculus, analytic geometry and related areas, a linear function is a polynomial of degree one or less, including the zero polynomial. (The latter is a polynomial with no terms, and it is not considered to have degree zero.)

When the function is of only one variable, it is of the form

{\displaystyle 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.

If a > 0 then the gradient is positive and the graph slopes upwards.

If a < 0 then the gradient is negative and the graph slopes downwards.

For a function &#123;\displaystyle f(x_&#123;1&#125;,\ldots ,x_&#123;k&#125;)&#125; of any finite number of variables, the general formula is

&#123;\displaystyle f(x_&#123;1&#125;,\ldots ,x_&#123;k&#125;)&#61;b+a_&#123;1&#125;x_&#123;1&#125;+\cdots +a_&#123;k&#125;x_&#123;k&#125;,&#125;

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 variable, is a horizontal line.

In this context, a function that is also a linear map (the other meaning of linear functions, see below) may be referred to as a homogeneous linear function or a linear form. In the context of linear algebra, the polynomial functions of degree 0 or 1 are the scalar-valued affine maps.

As a linear map#edit

An integral of an integrable function is a linear map from a vector space of integrable functions to real numbers (that is also a vector space).
An integral of an integrable function is a linear map from a vector space of integrable functions to real numbers (that is also a vector space). Image: source and license

In linear algebra, a linear function is a map &#123;\displaystyle f&#125; from a vector space &#123;\displaystyle \mathbf &#123;V&#125; &#125; to a vector space &#123;\displaystyle \mathbf &#123;W&#125; &#125; (Both spaces are not necessarily different.) over a same field K such that

&#123;\displaystyle f(\mathbf &#123;x&#125; +\mathbf &#123;y&#125; )&#61;f(\mathbf &#123;x&#125; )+f(\mathbf &#123;y&#125; )&#125;
&#123;\displaystyle f(a\mathbf &#123;x&#125; )&#61;af(\mathbf &#123;x&#125; ).&#125;

Here a denotes a constant belonging to the field K of scalars (for example, the real numbers), and x and y are elements of &#123;\displaystyle \mathbf &#123;V&#125; &#125;, which might be K itself. Even if the same symbol &#123;\displaystyle +&#125; is used, the operation of addition between x and y (belonging to &#123;\displaystyle \mathbf &#123;V&#125; &#125;) is not necessarily same to the operation of addition between &#123;\displaystyle f\left(\mathbf &#123;x&#125; \right)&#125; and &#123;\displaystyle f\left(\mathbf &#123;y&#125; \right)&#125; (belonging to &#123;\displaystyle \mathbf &#123;W&#125; &#125;).

In other terms the linear function preserves vector addition and scalar multiplication.

Some authors use "linear function" only for linear maps that take values in the scalar field;[6] these are more commonly called linear forms.

The "linear functions" of calculus qualify as "linear maps" when (and only when) f(0, ..., 0) = 0, or, equivalently, when the constant b equals zero in the one-degree polynomial above. Geometrically, the graph of the function must pass through the origin.

See also#edit

Notes#edit

  1. ^ "The term linear function means a linear form in some textbooks and an affine function in others." Vaserstein 2006, p. 50-1
  2. ^ Stewart 2012, p. 23
  3. ^ A. Kurosh (1975). Higher Algebra. Mir Publishers. p. 214.
  4. ^ T. M. Apostol (1981). Mathematical Analysis. Addison-Wesley. p. 345.
  5. ^ Shores 2007, p. 71
  6. ^ Gelfand 1961

References#edit

  • Izrail Moiseevich Gelfand (1961), Lectures on Linear Algebra, Interscience Publishers, Inc., New York. Reprinted by Dover, 1989. ISBN 0-486-66082-6
  • Shores, Thomas S. (2007). Applied Linear Algebra and Matrix Analysis. Undergraduate Texts in Mathematics. Springer. ISBN 978-0-387-33195-9.
  • Stewart, James (2012). Calculus: Early Transcendentals (7E ed.). 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

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