Delta function & kronecker delta

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Discussion Overview

The discussion focuses on the differences and similarities between the Delta function and the Kronecker delta, exploring their definitions, applications, and contexts in which they are used. Participants address theoretical aspects, mathematical properties, and practical implications of both concepts.

Discussion Character

  • Technical explanation
  • Conceptual clarification
  • Debate/contested

Main Points Raised

  • Some participants note that both the Delta function and the Kronecker delta are equal to 1 at a specific point and 0 elsewhere, but they differ in their contexts and definitions.
  • One participant describes the Delta function as an eigenfunction and the Kronecker delta as an abbreviation used in the context of orthonormal vectors.
  • Another participant explains that the Delta function can be seen as a limit of a normalized Gaussian function, while the Kronecker delta is likened to an element of a matrix, specifically the identity matrix.
  • Some contributions highlight that the Delta function is a distribution, whereas the Kronecker delta is described as an invariant tensor of arbitrary rank.
  • There is a mention that both functions express orthogonality, with the Kronecker delta applicable to countable sets and the Delta function to continuous sets.
  • A later reply suggests that the Kronecker delta can be viewed as the discrete variant of the Delta function, emphasizing the difference in the nature of their indices.
  • One participant references de Witt notation, indicating that the Kronecker delta is often used while the Delta function is understood contextually.

Areas of Agreement / Disagreement

Participants express various viewpoints on the definitions and applications of the Delta function and Kronecker delta, indicating that there is no consensus on a singular interpretation or understanding of their differences and similarities.

Contextual Notes

Some statements rely on specific mathematical contexts or definitions that may not be universally agreed upon, and there are unresolved nuances regarding the nature of the Delta function as a distribution versus the Kronecker delta as a matrix element.

churi55
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Can anyone tell me the difference between the Delta function and the Kronecker delta?

It seems that both are 1 at a certain point and 0 otherwise...

The delta function is a eigenfunction of x and the Kronecker delta is ...

i'm kind of confused..
 
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Delta function: Integral of f(x) F(x-a), where F is the delta function,
=f(a) when a is in the interval, and integral =0 if a is not in the interval.

Kronecker delta G(n-k) (usually for integer argument, not real) G=1 for n=k, =0 for n not=k.
 
From what I understand, the kronecker delta is just an abreviation. For exemple, if we have a set of orthonormal vectors \hat{e}_{i}

Then the dot product of any two of these vectors can be expressed as

(\hat{e}_{n}|\hat{e}_{k}) = \left\{\begin{array}{rcl}1 \ \mbox{if} \ n=k\\ 0 \ \mbox{otherwise}\end{array}

So we write

(\hat{e}_{n}|\hat{e}_{k}) = \delta_{nk}

to compactly express this fact.
 
delta function

The delta function, delta(x), is infinite at x=0, zero everywhere else. It is what a normalized Gaussian "hump" looks like in the limit as its width goes to zero.

In contrast, Kronecker delta is not really a function at all ... more like an element of a matrix (the identity matrix). So Kronecker[ij] = 1 (if i==j), or 0 (if i!=j).
 
Delta-Dirac is a distribution,while Delta-Kronecker is an invariant totally symmetrical tensor of arbitrary rank.

Daniel.
 
Also, both are used to express orthogonality, given a set of vectors, the arguments being the indices of the two vectors in question: the kronecker delta if that set is countable, the delta function if otherwise.
 
churi55 said:
Can anyone tell me the difference between the Delta function and the Kronecker delta?

It seems that both are 1 at a certain point and 0 otherwise...

The delta function is a eigenfunction of x and the Kronecker delta is ...

i'm kind of confused..

in an easy language, they are inherently the same (they have the same/analoguous meaning) but the Kronecker delta is the DISCRETE variant of the delta dirac distribution/functional. So the indices are discrete where they are continuous (they vary continuously) in case of the delta dirac distribution.

regards

marlon
 
In de Witt notation,where the D-dim delta-Dirac is supressed,one only finds the Kronecker one.However,the Dirac one is commonly understood.

Daniel.
 


\deltaij constitutes the identity matrix when:

(\deltaij)i,jn [that's NOT j to the n]
 

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