Are the Dirac Delta and Exponential Approximations Valid for Large n?

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SUMMARY

The discussion centers on the validity of using Dirac Delta and exponential approximations for large values of n in the context of integrals of the form ∫_{2}^{∞} dx f(x,n)e^{inx}. It establishes that as n approaches infinity, the approximation δ(x) ∼ sin(nx)/(πx) holds true in the sense of distributions. However, the derivative δ'(x) ∼ (n cos(nx) - sin(nx))/(πx^2) is questioned, as terms like cos(nx)/x^2 and (1/x)δ(x) do not qualify as distributions, rendering them meaningless in this context.

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eljose
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Let be the exponential:

[tex]e^{inx}=cos(nx)+isin(nx)[/tex] [tex]n\rightarrow \infty[/tex]

Using the definition (approximate ) for the delta function when n-->oo

[tex]\delta (x) \sim \frac{sin(nx)}{\pi x}[/tex] then differentiating..

[tex]\delta ' (x) \sim \frac{ncos(nx)}{\pi x}- \frac{\delta (x)}{\pi x}[/tex]

are this approximations true for big "n" ??.. i would like to know this to compute integrals (for big n ) of the form:

[tex]\int_{2}^{\infty} dx f(x,n)e^{inx}[/tex]

thanks...:rolleyes: :-p
 
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You can say:

[tex]\frac{\sin(nx)}{\pi x} \rightarrow \delta (x)[/tex]

for [tex]n \rightarrow \infty[/tex] in the sense of distributions. But, by derivating, you have:

[tex]\frac{n x \cos(n x) - \sin(n x)}{\pi x^2} \rightarrow \delta'(x)[/tex].

[tex]\frac{ \cos (n x)}{x^2}[/tex] and [tex]\frac{1}{x} \delta(x)[/tex] are not distributions! They are meaningless as distributions.
 

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