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The generalization depends on a parameter, the level of selectivity, such that as this parameter tends to infinity, the behavior becomes a delta function at the location of the global optimizer.
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On the other hand, when β → ∞, the probability concentrates exclusively on the ground states (Z becomes a Dirac delta function) and the behavior of the system becomes as ordered as its frustration index allows, i.e., the system response is as coherent and coordinated as possible, regardless of the type of perturbation, see Fig. 1(c).
One example with a delta function.
Differential equation with a delta function.
A value of zero means a delta function.
OK, so I'm integrating a delta function.
There's a special name for the solution when the right side is a delta function.
The Point Spread Function describes the shape of the image produced on the detector by a delta function (point) source.
Smereka, The numerical approximation of a delta function with application to level set methods, J. Comput.
In a statistical model, it is often appropriate to model the emission lines with a narrow Gaussian function or a delta function.
Describes the shape of the image produced by a delta function (point) source on the detector, also known as "Point Response Function" (PRF).
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com