Is the Kronecker Delta Equivalent to the Dirac Delta as h Tends to 0?

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Discussion Overview

The discussion centers on the relationship between the Kronecker delta and the Dirac delta function, specifically whether the identity \(\frac{\delta _{n}^{x}}{h} \rightarrow \delta (x-n)\) holds as \(h\) approaches 0. The scope includes theoretical considerations and mathematical reasoning.

Discussion Character

  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • One participant questions the validity of the identity, suggesting that without a clear definition of convergence, the statement lacks meaning.
  • Another participant argues that traditional notions of convergence for generalized distributions do not apply in this case, citing the need for specific properties that the proposed identity does not satisfy.
  • A different participant notes a perceived similarity between the results of the Kronecker delta and the Dirac delta function, pointing out that both yield the same value when integrated or summed under certain conditions.
  • One participant supports the initial claim, suggesting that the relationship may hold true in a physicist's context and references an external source for proof.

Areas of Agreement / Disagreement

Participants express differing views on the validity of the identity, with some asserting it is incorrect while others believe it may hold in specific contexts. The discussion remains unresolved regarding the equivalence of the two deltas.

Contextual Notes

Participants highlight the lack of a clear definition of convergence in the context of generalized distributions, which may limit the discussion. There are also references to the need for normalization in sequences converging to the Dirac delta, which are not addressed in the initial claim.

Klaus_Hoffmann
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I do not know if it is true but is this identity true

\frac{\delta _{n}^{x} }{h} \rightarrow \delta (x-n)

as h tends to 0 ?, the first is Kronecker delta the second Dirac delta.

i suspect that the above it is true but can not give a proof
 
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It isn't true in any meaningful sense - of course, since you've not defined what you mean by convergent, then we're going to have to guess. What does convergence of generalized distributions even mean? The most meaningful, and traditional notion of a sequence of functions converging to the Dirac delta is as follows:

we have functions f_r(x) for r in the natural numbers, normally, we require the integral of f_r over the real line to be 1 for all r, and for the sequence of numbers

y_r:=\int f_r(x)g(x)dx

to converge to g(0).

These are all trivially false in your case. It is true for suitably normalized Gaussians, for instance.
 
ok, thanks i thought it was true by the similarity of the results

\sum_{n=0}^{\infty} f(n) \delta _{n}^{2} =f(2)

(due to Kronecker delta only the value f(2) is obtained in the end)

and \int_{0}^{\infty} f(x) \delta (x-2)dx =f(2)

in the first case f(n) takes only discrete values, whereas in the second f(x) involves a sum over the interval (0, infinity) although the sum and the series give the same result f(2)
 
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