Cauchy approximate identity Created 2026-09-29 Updated 2026-10-03
The Cauchy approximate identity is
It is a probability density of total mass one, and its mass outside every fixed neighbourhood of zero tends to zero as . It therefore converges to the Dirac delta function as a distribution.
For , the causal Green function satisfies . It is continuous at zero, with a unit jump in its first derivative. Its smooth positive-time kernel obeys . The zero-frequency limit is . Shifting gives the zero-initial-data response to a delayed Dirac delta function.
Gaussian white noise 2026-09-28
Gaussian white noise is a generalized Gaussian process with zero mean and covariance proportional to a Dirac delta function in time, and possibly in space. It is the formal time derivative of Brownian motion and has independent fluctuations on disjoint time intervals.
A sequence can converge as distributions off one point while retaining a nonconvergent multiple of a Dirac delta function at that point. If with nonconvergent, restriction to the punctured domain tends to , but a test nonzero at detects the obstruction to global convergence.
A narrow surface density of a disk source approaching the outer edge from inside, with normalized to have full weight, gives and the displayed steady interior profile. This follows by replacing the inner source integral by and integrating . The flux jumps from just inside to zero outside the injecting edge. Thus a zero exterior flux is consistent, whereas a continuous zero interior boundary trace is not. A half-weight convention for a symmetric endpoint Dirac delta function represents a different total injected mass; it must not be silently mixed with the full-weight boundary source.