A mollifier, also called an approximation to the identity or a Friedrichs mollifier after the mathematician Kurt Otto Friedrichs, is a smooth function used in distribution theory to build a sequence of smooth functions that approximate a function or generalized function that is not itself smooth. Convolving a rough function with a mollifier smooths, or mollifies, its sharp features while keeping the result close to the original function. Mollifiers are a basic tool of modern analysis because they let mathematicians prove that a property known to hold for smooth functions also holds more generally, by first smoothing out a nonsmooth function's discontinuities and rough spots and then taking a limit.
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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.
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Mollifiers were introduced by Kurt Otto Friedrichs in his paper (Friedrichs 1944, pp. 136-139), which is considered a watershed in the modern theory of partial differential equations.
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