A function has an integrable singularity at a point if it becomes unbounded there but its absolute value has a finite improper integral over a sufficiently small surrounding interval, one-sided at an endpoint. The endpoint behavior of the arcsine distribution's probability density function is an example.
An endpoint integrable singularity with as , for finite nonzero . It is an integrable singularity because . One common origin is a stationary change of variables: if with and a smooth nonzero probability density for at zero, the two inverse branches give a probability density for proportional to .
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