What is the Cross-Correlation Theorem for Continuous Fourier Transform?

  • Thread starter Thread starter T.Engineer
  • Start date Start date
  • Tags Tags
    Integral
Click For Summary

Homework Help Overview

The discussion revolves around the Cross-Correlation Theorem in the context of continuous Fourier transforms, specifically focusing on the integral involving a function defined in terms of Hermite polynomials. Participants are exploring the formulation and evaluation of the integral F(d) = ∫ from 0 to Tf of p(t)p(t-d) dt, where p(t) is expressed as a polynomial involving derivatives of the exponential function.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning, Problem interpretation

Approaches and Questions Raised

  • Participants discuss the correct formulation of the function p(t) and its implications for the integral. There are mentions of integration techniques, including integration by parts, and considerations of special functions like the error function. Some participants question the notation and the role of the variable n in the context of Hermite polynomials.

Discussion Status

The discussion is ongoing with various approaches being suggested, including the use of mathematical software for computation. Some participants have pointed out the existence of closed solutions for specific cases and the potential for recurrence relations to be useful. There is no explicit consensus yet, but several productive lines of inquiry are being explored.

Contextual Notes

Participants are navigating the complexities of defining the function p(t) correctly and understanding the implications of different values of n. There is also a focus on the limitations of elementary functions in expressing certain integrals, which adds to the complexity of the discussion.

T.Engineer
Messages
86
Reaction score
0
can anybody find the result for the following equation:

F(d)= [tex]\int^{T_f}_{0}p(t)p(t-d) dt[/tex]

where
916; = d but it doesn't appears very well
and
p(t) = (-1)^n * e^(t^2) * d/dt * e^(-t^2)

thanks a lot!
 
Last edited:
Physics news on Phys.org
The way you've written, it appears that

[tex]p(t)=-2 (-1)^n t[/tex]

I believe that in this case the integral would be a formality.
 
I am sorry I didnt write it correctly

p(t) = (-1)^n * e^(t^2) * d^n/dt^n * e^(-t^2)

where n= 1,2,...,N

I just want a general formula for the result
 
Have you attempted at an answer? What technique(s) have you tried? Integration by parts comes to mind...
 
my question is how to find a general formula for the following

F(d)= [tex]\int^{T_f}_{0}p(t)p(t-d) dt[/tex]

where
p(t) = (-1)^n * e^(t^2) * d/dt * e^(-t^2)

and
n=1,2,...,N
Thanks a lot!
 
And my response is 'why do you keep putting n's in and then taking them out?' State the question precisely. I presume you're just supposed to do it for n an integer, rather than for n=1,2,3,...
 
That p_{n} is, up to a normalization constant, a Hermite polynomial of degree "n". So try looking that integral in mathematical tables of integrals or ask Mathematica software about the result.
 
"There are many functions - called special functions - which fail to
have an anti-derivative expressible as a finite combination of
elementary functions. The so-called elliptic functions, the error
function, and the gamma function are a few examples. The error
function, which is extremely useful in both physics and statistics, is
defined as:

erf(x) = (2/sqrt(pi))integral from 0 to x of e^(-t^2)dt

Extensive tables of the error function would not exist if the
anti-derivative of e^(-t^2) were expressible as a finite combination
of elementary functions."
http://mathforum.org/library/drmath/view/53554.html
 
  • #10
EnumaElish said:
"There are many functions - called special functions - which fail to
have an anti-derivative expressible as a finite combination of
elementary functions. The so-called elliptic functions, the error
function, and the gamma function are a few examples. The error
function, which is extremely useful in both physics and statistics, is
defined as:

erf(x) = (2/sqrt(pi))integral from 0 to x of e^(-t^2)dt

Extensive tables of the error function would not exist if the
anti-derivative of e^(-t^2) were expressible as a finite combination
of elementary functions."
http://mathforum.org/library/drmath/view/53554.html

p(t) is not an exponential. It's a polynomial as dextercioby has already pointed out.
 
  • #11
I have realized the same because, as dextercioby had pointed out, there is a closed solution for n=1.

Here's how I'd approach the problem (and I communicated this to T.Engineer at least once before, under Statistics & Probability). I'd start with n=1 and calculate the closed solution, which is easy. Then move on to n=2, 3, ..., and see if there is a pattern.
 
  • #12
EnumaElish said:
I have realized the same because, as dextercioby had pointed out, there is a closed solution for n=1.

Here's how I'd approach the problem (and I communicated this to T.Engineer at least once before, under Statistics & Probability). I'd start with n=1 and calculate the closed solution, which is easy. Then move on to n=2, 3, ..., and see if there is a pattern.

There are also recurrence relations for the Hermite polynomials which could be exploited without rediscovering them empirically. It's clear there is no exponential in the final integral since exp(-t^2) comes out from the differentiation intact and cancels with the exp(t^2) without even knowing there are closed form solutions for particular n.
 
  • #13
Dick said:
There are also recurrence relations for the Hermite polynomials which could be exploited without rediscovering them empirically. It's clear there is no exponential in the final integral since exp(-t^2) comes out from the differentiation intact and cancels with the exp(t^2) without even knowing there are closed form solutions for particular n.
Right; the fact that a closed solution exists is sufficient but not necessary to see that it is not the error function, or any other special function.
 
  • #14
If anybody is interested in pursuing this, here's a Maxima (free math software) program to compute the nth case. It should be pretty self explanatory.

p(t,n):=expand(exp(t^2)*(-1)^n*diff(exp(-t^2),t,n));
integ(n):=p(t,n)*subst((t-d),t,p(t,n));
final(n):=integrate(integ(n),t,0,Tf);

E.g. typing 'final(7);' after this is entered computes the n=7 case.
 
Last edited:
  • #15
Dick said:
If anybody is interested in pursuing this, here's a Maxima (free math software) program to compute the nth case.

Please, can you tell me from where can I download this program.
Thanks a lot!
 
  • #17
T.Engineer said:
Please, can you tell me from where can I download this program.
Thanks a lot!

Try http://maxima.sourceforge.net/. If you are running a debian flavor linux it might be as simple doing 'apt-get install xmaxima'.
 
  • #18
Dick said:
Try http://maxima.sourceforge.net/. If you are running a debian flavor linux it might be as simple doing 'apt-get install xmaxima'.

I am runing windows Xp.
 
  • #19
T.Engineer said:
I am running windows Xp.

Then get, for example, maxima-5.12.0a.exe from the downloads section.
 
  • #20
Dick said:
If anybody is interested in pursuing this, here's a Maxima (free math software) program to compute the nth case. It should be pretty self explanatory.


can you help to find a general formula for the autocorrelation function Hermite polynomials.
Thanks a lot!
 

Similar threads

Replies
1
Views
3K
Replies
2
Views
2K
Replies
2
Views
2K
  • · Replies 6 ·
Replies
6
Views
4K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 105 ·
4
Replies
105
Views
11K
  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 3 ·
Replies
3
Views
2K
Replies
0
Views
1K
  • · Replies 5 ·
Replies
5
Views
2K