PlanetPhysics/Dirac's Delta Distribution

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It is widely known that distributions play important roles in Dirac's formulation of [[../QuantumParadox/|quantum mechanics]]. An example of how the Dirac distribution arises in a physical, classical context is also available on line.

The Dirac delta δ(x) distribution is not a true [[../Bijective/|function]] because it is not uniquely defined for all values of the argument x. Somewhat similar to the older Kronecker delta symbol, the notation δ(x) stands for

δ(x)=0=for=x0,=and=δ(x)dx=1.

Moreover, for any continuous function F:

δ(x)F(x)dx=F(0)

or in n dimensions:

nδ(xs)f(s)dns=f(x)

one could attempt to define the values of δ(x) via a series of normalized Gaussian functions ([[../LebesgueMeasure/|normal distributions]]) in the limit of their width going to zero; however, such a limit of the normalized Gaussian function is still meaningless as a function, even though one sees in engineering textbooks especially such a limit as being written to be equal to the Dirac distribution considered above, which it is not. An example of how the Dirac distribution arises in a physical, classical context is available on line.

The Dirac delta , δ, can be, however, correctly defined as a linear functional , i.e. a linear mapping from a function space, consisting e.g. of certain real functions, to (or ), having the property δ[f]=f(0). One may consider this as an [[../NormInducedByInnerProduct/|inner product]] f,δ=0f(t)δ(t)dt of a function f and another "function" δ, when the well-known formula 0f(t)δ(t)dt=f(0) holds.\

All Sources

[1] [2] [3]

References

  1. Schwartz, L. (1950--1951), Th\'eorie des distributions, vols. 1--2, Hermann: Paris. \bibitem(WR73) W. Rudin, Functional Analysis , McGraw-Hill Book Company, 1973.
  2. L. H\"ormander, {\em The Analysis of Linear Partial Differential Operators I, (Distribution theory and Fourier Analysis)}, 2nd ed, Springer-Verlag, 1990.
  3. Originally from The Data Analysis Briefbook (http://rkb.home.cern.ch/rkb/titleA.html)

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