Mollifier
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In mathematics, mollifiers (also known as approximations to the identity) are smooth functions with special properties, used in distribution theory to create sequences of smooth functions approximating nonsmooth (generalized) functions, via convolution. Intuitively, given a function which is rather irregular, by convolving it with a mollifier the function gets "mollified", that is, its sharp features are smoothed, while still remaining close to the original nonsmooth function.
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[edit] Definition
If φ is a compactly supported smooth function (i.e. a bump function) on Rs of integral equal to one, then the sequence
- φn(x) = ns φ(n x) (1)
converges to the Dirac delta function in the space of Schwartz distributions.
This means, that for any distribution T, the sequence
- Tn = T ∗ φn,
where ∗ denotes convolution, converges to T. On the other hand, this is a sequence of smooth functions.
[edit] Concrete example
More precisely, consider the function ψ defined by
and zero elsewhere. It is easily seen that this function is infinitely differentiable, with vanishing derivative for |x| = 1. Divide this function by its integral over the whole space to get a function φ of integral one, which can be used as mollifier as described above.
[edit] Smooth cutoff function
By convolution of the characteristic function of the unit ball B = { x | |x| < 1 } with φ2 (defined as in (1) with n = 2), one obtains a smooth function equal to 1 on { x | |x| < 1/2 }, with support contained in { x | |x| < 3/2 }.
It is easy to see how this can be generalized to obtain a smooth function identical to one on a given compact set, and equal to zero in every point of distance greater than a given ε to this set. Such a function is called a (smooth) cutoff function.