Mollifier
Integration kernels for smoothing out sharp features / From Wikipedia, the free encyclopedia
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In mathematics, mollifiers (also known as approximations to the identity) are particular smooth functions, used for example in distribution theory to create sequences of smooth functions approximating nonsmooth (generalized) functions, via convolution. Intuitively, given a (generalized) function, convolving it with a mollifier "mollifies" it, that is, its sharp features are smoothed, while still remaining close to the original.[1]
They are also known as Friedrichs mollifiers after Kurt Otto Friedrichs, who introduced them.[2]