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In [[functional analysis]] (a branch of [[mathematics]]), a '''reproducing kernel Hilbert space''' ('''RKHS''') is a [[Hilbert space]] of functions in which point evaluation is a continuous linear [[Functional (mathematics)|functional]]. Roughly speaking, this means that if two functions <math>f</math> and <math>g</math> in the RKHS are close in norm, i.e., <math>\|f-g\|</math> is small, then <math>f</math> and <math>g</math> are also pointwise close, i.e., <math>|f(x)-g(x)|</math> is small for all <math>x</math>. The converse does not need to be true. Informally, this can be shown by looking at the [[Uniform norm|supremum norm]]: the sequence of functions <math>\sin^n (x)</math> converges pointwise, but does not converge [[Uniform Convergence|uniformly]] i.e. does not converge with respect to the supremum norm. (This is not a counterexample because the supremum norm does not arise from any [[inner product]] due to not satisfying the [[Polarization identity|parallelogram law]].)
[[Square-integrable function|''L''<sup>2</sup> spaces]] are not Hilbert spaces of functions (and hence not RKHSs), but rather Hilbert spaces of equivalence classes of functions (for example, the functions <math>f</math> and <math>g</math> defined by <math>f(x)=0</math> and <math>g(x)=1_{\mathbb{Q}}</math> are equivalent in ''L''<sup>2</sup>). However, there are RKHSs in which the norm is an ''L''<sup>2</sup>-norm, such as the space of band-limited functions (see the example below).
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