[Intro QM] Verification requested on possible solution for a question

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warhammer
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Homework Statement
Q1 (i) Given φ(k) = \frac{A/Δk} where (k0 − 0.5Δk)< k < (k0 +0.5Δk) & φ(k) is 0 elsewhere. A, k0 and Δk are constants.
Show that ψ(x) = A * \frac{sinb/b} *exp(ik0x) where b =0.5Δkx. Also find ψ(0).

(ii) A particle freely moves in an one dimensional box of length L. The probability of finding the particle between x and x + dx inside the box is P(x)dx = Cdx, 0 ≤ x ≤ L where C is a constant. It is 0 elsewhere. Find C, < x > and < x^n >
Relevant Equations
ψ(x)= \frac{1/√(2pi)} \int_-∞^∞ φ(k) exp(ikx) dx\

<expectation value of an observable>= \int ψ(x)*(observable)ψ(x)
Below I have attached an image of my possible solution. I have replaced all the relevant limits. For some reason, I am getting the final value for (i) part as ψ(x)= with an additional √2pi in the denominator. Have I made any errors or is it fine if I take it within the constant A..

Handwritten derivation of a 1-D wave packet ψ(x) as an integral over φ(k) with a Gaussian-free rectangular range from k0 minus Δk/2 to k0 plus Δk/2, reducing to a sin(xΔk/2)/x form multiplied by e^(ik0x).


In addition I have also posted images of the solution for the (ii) part where I am obtaining ψ(0)=0 and the expectation values. I shall be extremely indebted if someone can have a look at my solutions and verify if they are fine, or otherwise, graciously provide guidance so that I may be able to correct them.

Handwritten working on lined paper: wavefunction psi(x) = (A/sqrt(2pi)) * (2/L) * e^(i2pi x/L) sin(2pi x/L), then psi(0) evaluated as zero; below, normalisation of the probability density with the integral from 0 to L equal to 1, giving C = 1/L, and the expectation value of x computed as L/2.

Handwritten derivation of expectation values <x^n> = ∫x^n P(x)dx over 0 to L with uniform P(x) = 1/L, giving <x^2> = L^2/3, <x^3> = L^3/4, and the general result <x^n> = L^n/(n+1).
 
Your evaluation of ##\psi(x)## looks correct. There are several different conventions for the Fourier transform that differ in factors of ##2 \pi## or ##\sqrt{2 \pi}##. For example, see section A.1 here.

Calculating ##\psi(0)## by letting ##x = 0## leads to ##\frac{0}{0}## which is ambiguous. Instead, take the limit of ##\psi(x)## as ##x## approaches zero.

Your work for part 2 looks good.
 
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TSny said:
Your evaluation of ##\psi(x)## looks correct. There are several different conventions for the Fourier transform that differ in factors of ##2 \pi## or ##\sqrt{2 \pi}##. For example, see section A.1 here.

Calculating ##\psi(0)## by letting ##x = 0## leads to ##\frac{0}{0}## which is ambiguous. Instead, take the limit of ##\psi(x)## as ##x## approaches zero.

Your work for part 2 looks good.
Thank you for your guidance sir.

Sir upon using the limit here, since x --> 0, and b is related to x directly, so it should also tend to zero; therefore we simply get ##\frac{A}{√2π}## as the answer for ##\psi(0)## . I hope this is now correct
 
warhammer said:
Sir upon using the limit here, since x --> 0, and b is related to x directly, so it should also tend to zero; therefore we simply get ##\frac{A}{√2π}## as the answer for ##\psi(0)## .
It's not clear how you deduced that ##\frac {\sin b}{b}## → 1 as ##x## → 0. Did you use l'Hôpital's Rule?
 
TSny said:
It's not clear how you deduced that ##\frac {\sin b}{b}## → 1 as ##x## → 0. Did you use l'Hôpital's Rule?
No sir. Instead I used the Trig identity for Limits: ## Lt b->0 \frac{sinb}{b} = 1## using the assumption that since ##b =0.5Δkx## ; b-->0 for x-->0 (the proof for the same coming from Sandwich Theorem if I recall correctly)..
 
Yes, there are different ways to get the limit. Good.

I think your result that ##\psi(0) = \frac{A}{\sqrt {2\pi}}## is correct.
 
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TSny said:
Yes, there are different ways to get the limit. Good.

I think your result that ##\psi(0) = \frac{A}{\sqrt {2\pi}}## is correct.
Thank you so much sir for your prompt responses. I'm highly obliged, you took out so much time to carefully evaluate my solution..🙏🏻🧡
 
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You're very welcome. I'm glad I could help.
 
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