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		<title>imported&gt;OlliverWithDoubleL at 02:35, 22 July 2022</title>
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		<summary type="html">&lt;p&gt;&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;{{Short description|Element of a basis for a function space}}&lt;br /&gt;
{{Multiple issues|&lt;br /&gt;
{{more footnotes|date=March 2013}}&lt;br /&gt;
{{Technical|date=September 2019}}&lt;br /&gt;
{{Cleanup rewrite|date=September 2019}}&lt;br /&gt;
}}&lt;br /&gt;
In [[mathematics]],  a &amp;#039;&amp;#039;&amp;#039;basis function&amp;#039;&amp;#039;&amp;#039; is an element of a particular [[Basis (linear algebra)|basis]] for a [[function space]]. Every [[function (mathematics)|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]].&lt;br /&gt;
&lt;br /&gt;
In [[numerical analysis]] and [[approximation theory]], basis functions are also called &amp;#039;&amp;#039;&amp;#039;blending functions,&amp;#039;&amp;#039;&amp;#039; because of their use in [[interpolation]]: In this application, a mixture of the basis functions provides an interpolating function (with the &amp;quot;blend&amp;quot; depending on the evaluation of the basis functions at the data points).&lt;br /&gt;
&lt;br /&gt;
==Examples==&lt;br /&gt;
&lt;br /&gt;
===Monomial basis for &amp;#039;&amp;#039;C&amp;lt;sup&amp;gt;ω&amp;lt;/sup&amp;gt;&amp;#039;&amp;#039;===&lt;br /&gt;
The [[monomial]] basis for the vector space of [[analytic function]]s is given by &lt;br /&gt;
&amp;lt;math display=&amp;quot;block&amp;quot;&amp;gt;\{x^n \mid n\in\N\}.&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
This basis is used in [[Taylor series]], amongst others.&lt;br /&gt;
&lt;br /&gt;
===Monomial basis for polynomials===&lt;br /&gt;
The monomial basis also forms a basis for the vector space of [[polynomial]]s. After all, every polynomial can be written as &amp;lt;math&amp;gt;a_0 + a_1x^1 + a_2x^2 + \cdots + a_n x^n&amp;lt;/math&amp;gt; for some &amp;lt;math&amp;gt;n \in \mathbb{N}&amp;lt;/math&amp;gt;, which is a linear combination of monomials.&lt;br /&gt;
&lt;br /&gt;
===Fourier basis for &amp;#039;&amp;#039;L&amp;#039;&amp;#039;&amp;lt;sup&amp;gt;2&amp;lt;/sup&amp;gt;[0,1]===&lt;br /&gt;
[[Trigonometric functions|Sines and cosines]] form an ([[orthonormality|orthonormal]]) [[Schauder basis]] for [[square-integrable function]]s on a bounded domain. As a particular example, the collection&lt;br /&gt;
&amp;lt;math display=&amp;quot;block&amp;quot;&amp;gt;\{\sqrt{2}\sin(2\pi n x) \mid n \in \N \} \cup \{\sqrt{2} \cos(2\pi n x) \mid n \in \N \} \cup \{1\}&amp;lt;/math&amp;gt;&lt;br /&gt;
forms a basis for [[Lp space|&amp;#039;&amp;#039;L&amp;#039;&amp;#039;&amp;lt;sup&amp;gt;2&amp;lt;/sup&amp;gt;[0,1]]].&lt;br /&gt;
&lt;br /&gt;
==See also==&lt;br /&gt;
{{div col|colwidth=22em}}&lt;br /&gt;
* [[Basis (linear algebra)]]  ([[Hamel basis]])&lt;br /&gt;
* [[Schauder basis]] (in a [[Banach space]])&lt;br /&gt;
* [[Dual basis]]&lt;br /&gt;
* [[Biorthogonal system]] (Markushevich basis)&lt;br /&gt;
* [[Orthonormal basis]] in an [[inner-product space]]&lt;br /&gt;
* [[Orthogonal polynomials]]&lt;br /&gt;
* [[Fourier analysis]] and [[Fourier series]]&lt;br /&gt;
* [[Harmonic analysis]]&lt;br /&gt;
* [[Orthogonal wavelet]]&lt;br /&gt;
* [[Biorthogonal wavelet]]&lt;br /&gt;
* [[Radial basis function]] &amp;lt;!-- shape functions in the [[Galerkin method]] and --&amp;gt;&lt;br /&gt;
* [[Finite element analysis#Choosing a basis|Finite-elements (bases)]]&lt;br /&gt;
* [[Functional analysis]]&lt;br /&gt;
* [[Approximation theory]]&lt;br /&gt;
* [[Numerical analysis]]&lt;br /&gt;
{{div col end}}&lt;br /&gt;
&lt;br /&gt;
==References==&lt;br /&gt;
&amp;lt;references /&amp;gt;&lt;br /&gt;
*{{cite book |last=Itô |first=Kiyosi |title=Encyclopedic Dictionary of Mathematics |edition=2nd |year=1993 |publisher=MIT Press |isbn=0-262-59020-4 | page=1141}}&lt;br /&gt;
&lt;br /&gt;
[[Category:Numerical analysis]]&lt;br /&gt;
[[Category:Fourier analysis]]&lt;br /&gt;
[[Category:Linear algebra]]&lt;br /&gt;
[[Category:Numerical linear algebra]]&lt;br /&gt;
[[Category:Types of functions]]&lt;/div&gt;</summary>
		<author><name>imported&gt;OlliverWithDoubleL</name></author>
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