Most general form of nascent delta function

Click For Summary
SUMMARY

The discussion focuses on identifying the most general form of nascent delta functions, specifically seeking a function g(x,y) that approaches the Dirac delta function as x approaches 0. The participant explores various approaches, including Fourier series and transforms, but finds them unhelpful. Ultimately, they conclude that g(x,y) can be represented as a linear combination of probability distributions, such as the normal and Cauchy distributions, that satisfy the limit condition. The conversation highlights the lack of a comprehensive classification for distributions converging to the Dirac delta.

PREREQUISITES
  • Understanding of distributions and linear functionals
  • Familiarity with the Dirac delta function
  • Knowledge of probability distributions, particularly normal and Cauchy distributions
  • Basic concepts of Fourier series and transforms
NEXT STEPS
  • Research the properties of the Dirac delta function in distribution theory
  • Explore linear combinations of probability distributions and their convergence properties
  • Study the implications of Fourier transforms in the context of distributions
  • Investigate other probability distributions that may converge to the Dirac delta function
USEFUL FOR

Mathematicians, physicists, electrical engineers, and anyone interested in advanced distribution theory and the properties of delta functions.

mmzaj
Messages
107
Reaction score
0
Dear all

I'm wondering if you can help me find the most general formula of all nascent delta functions. all i have found a somewhat random forms . I'm looking for a general elegant formula that all the forms can be derived from .

thanks in advance .
 
Physics news on Phys.org
thanks a lot , really informative , but here is the thing , I'm looking for a function ( or a functional ) g such that :

lim x ->0 g (x,y) = delta(y).

well , obviously any nascent delta function satisfies the condition , but the problem is that I am also interested in g(x,y) every where , not only when x -> 0 , and there is no constrains on g(x,y) other than it equals delta when x->0 . hence , the program is to find the most general form of the nascent delta functions , and construct a linear combination of them . i tried Fourier series and transform to check if there are common properties of the nascent delta functions in the frequency domain - as we electrical engineers like to call it - but in vain . here is the dilemma . can you help me here .

thanks in advance .
 
Last edited:
now , after a long struggle i found that what I'm looking for isn't any thing but a linear combination of probability distributions ( such as the normal distribution ) G (x,y) such that lim x->0 G(x,y) = delta (y) . but again , there is no information about the number of distributions that satisfy that condition . the normal distribution does , cauchy distribution does , but are there other distributions like that ?
 
The Dirac delta is not special; it's just another point in the space of distributions. There are exactly as many things that converge to the zero distribution as there are that converge to the Dirac delta distribution.

There really isn't a classification for things that converge to the Dirac delta other than "it converges to the Dirac delta".
 

Similar threads

  • · Replies 20 ·
Replies
20
Views
2K
  • · Replies 25 ·
Replies
25
Views
4K
  • · Replies 1 ·
Replies
1
Views
3K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 18 ·
Replies
18
Views
3K
  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 2 ·
Replies
2
Views
3K
  • · Replies 14 ·
Replies
14
Views
2K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 3 ·
Replies
3
Views
2K