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In mathematics, a basis function is an element of a particular basis for a function space. Every continuous function in the function space can be represented as a linear combination of basis functions, just as every vector in a vector space can be represented as a linear combination of basis vectors.

In numerical analysis and approximation theory, basis functions are also called blending functions, because of their use in interpolation: In this application, a mixture of the basis functions provides an interpolating function (with the "blend" depending on the evaluation of the basis functions at the data points).



Polynomial basesEdit

The base of a polynomial is the factored polynomial equation into a linear function.[1]

Fourier basisEdit

Sines and cosines form an (orthonormal) Schauder basis for square-integrable functions. As a particular example, the collection:


forms a basis for L2(0,1).


  • Ito, Kiyoshi (1993). Encyclopedic Dictionary of Mathematics (2nd ed.). MIT Press. p. 1141. ISBN 0-262-59020-4.

See alsoEdit


  1. ^ "Solutions of differential equations in a Bernstein polynomial basis". Journal of Computational and Applied Mathematics. 205 (1): 272–280. 2007-08-01. doi:10.1016/ ISSN 0377-0427.