Little Quantum Universe

A one-dimensional "universe" consists of the linear space between x = 0 x = 0 and x = 1 x = 1 . There is a single particle in this universe, and its behavior at a particular energy level is governed by a variant of the time-independent Schrodinger equation, expressed in terms of a wave function Ψ N ( x ) \Psi_N (x) .

d 2 d x 2 Ψ N ( x ) x Ψ N ( x ) = Ψ N ( x ) -\frac{d^2}{d x^2} \, \Psi_N (x) - \sqrt{x} \, \Psi_N (x) = \Psi_N (x)

The values of Ψ N ( x ) \Psi_N (x) and its first spatial derivative at x = 0 x = 0 are:

Ψ N ( 0 ) = 1 ( d d x Ψ N ) ( 0 ) = 0 \Psi_N (0) = 1 \\ \Big ( \frac{d}{dx} \, \Psi_N \Big ) (0) = 0

The probability of detecting the particle within the region a x b a \leq x \leq b is:

P ( a x b ) = a b Ψ N ( x ) 2 d x 0 1 Ψ N ( x ) 2 d x P(a \leq x \leq b) = \frac{\int_a^b |\Psi_N (x)|^2 \, dx }{\int_0^1 |\Psi_N (x)|^2 \, dx }

What is the probability of detecting the particle in the region ( 0 x 1 2 ) \Big ( 0 \leq x \leq \frac{1}{2} \Big) ?

Note: This problem lends itself well to numerical solution


The answer is 0.6979.

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2 solutions

Mark Hennings
Jan 18, 2019

We can convert the differential equation ψ ( x ) x ψ ( x ) = ψ ( x ) ψ ( 0 ) = 1 , ψ ( 0 ) = 0 -\psi''(x) - \sqrt{x}\psi(x) \; = \; \psi(x) \hspace{2cm} \psi(0) = 1\,,\,\psi'(0) = 0 to the Volterra-type integral equation ψ ( x ) = 1 0 x ( x u ) ( u + 1 ) ψ ( u ) d u \psi(x) \; = \; 1 - \int_0^x (x-u)(\sqrt{u} + 1)\psi(u)\,du Consider the linear operator X : C [ 0 , 1 ] C [ 0 , 1 ] X \,:\, \mathcal{C}[0,1] \to \mathcal{C}[0,1] defined by ( X f ) ( x ) = 0 x ( x u ) ( u + 1 ) f ( u ) d u (Xf)(x) \; = \; -\int_0^x (x-u)(\sqrt{u} + 1)f(u)\,du We can show that if f ( x ) K x a |f(x)| \le Kx^a for all x x , then ( X f ) ( x ) 2 K ( a + 1 ) ( a + 2 ) x a + 2 |(Xf)(x)| \le \tfrac{2K}{(a+1)(a+2)}x^{a+2} , which implies that X n f 2 n ( 2 n ) ! f f C [ 0 , 1 ] , n N \Vert X^nf \Vert_\infty \; \le \; \tfrac{2^n}{(2n)!}\Vert f\Vert_\infty \hspace{2cm} f \in \mathcal{C}[0,1]\,,\, n \in \mathbb{N} Thus we have a linear operator Y : C [ 0 , 1 ] C [ 0 , 1 ] Y \,:\, \mathcal{C}[0,1] \to \mathcal{C}[0,1] defined by Y f = n = 0 X n f Yf \; = \; \sum_{n=0}^\infty X^nf with Y f cosh ( 2 ) f 2 \Vert Yf\Vert_\infty \,\le \, \cosh(\sqrt{2}) \Vert f\Vert_2 . This operator has the property that Y f = f + X Y f f C [ 0 , 1 ] Yf \;=\; f + XYf \hspace{2cm} f \in \mathcal{C}[0,1] Moreover, if Y N ( f ) = n = 0 N X n f Y_N(f) \; = \; \sum_{n=0}^N X^nf then Y N f Y f ( cosh ( 2 ) n = 0 N 2 n ( 2 n ) ! ) f \Vert Y_Nf - Yf\Vert_\infty \; \le \; \left(\cosh(\sqrt{2}) -\sum_{n=0}^N \frac{2^n}{(2n)!}\right)\Vert f \Vert_\infty We want the function ψ = Y 1 \psi = Y1 . Then ψ Y 3 1 4 × 1 0 4 \Vert \psi - Y_31\Vert_\infty \, \le \, 4 \times 10^{-4} , which means that Y 3 1 Y_31 is a good approximation for ψ \psi . Now ( Y 3 1 ) ( x ) = 1 1 2 x 2 4 15 x 5 2 + 1 24 x 4 + 46 945 x 9 2 + 1 75 x 5 1 720 x 6 683 270270 x 13 2 293 198450 x 7 4 14625 x 15 2 (Y_31)(x) \; = \; \begin{array}{l} 1 - \frac12x^2 - \frac{4}{15}x^{\frac{5}{2}} + \frac{1}{24}x^4 + \frac{46}{945}x^{\frac{9}{2}} + \frac{1}{75}x^5 - \frac{1}{720}x^6 \\ {} - \frac{683}{270270}x^{\frac{13}{2}} - \frac{293}{198450}x^7 - \frac{4}{14625}x^{\frac{15}{2}} \end{array} and we can use this in place of ψ \psi to approximate the probability as 0.697917 \boxed{0.697917} , which is accurate to 4 4 decimal places. Using Y 4 1 Y_41 would give an even better approximation.

Riccardo Baldini
Jan 14, 2019

The problem can easily be solved numerically with these two lines in Mathematica:

s ( t$_$ ) :=NDSolveValue [ { ψ ( x ) + ( x + 1 ) ψ ( x ) = 0 , ψ ( 0 ) = 1 , ψ ( 0 ) = 0 } , { ψ ( t ) } , { x , 0 , 1 } ] s(\text{t\$\_\$})\text{:=}\text{NDSolveValue}\left[\left\{\psi ''(x)+\left(\sqrt{x}+1\right) \psi (x)=0,\psi (0)=1,\psi '(0)=0\right\},\{\psi (t)\},\{x,0,1\}\right]

P = NIntegrate [ s ( t ) 2 , { t , 0 , 1 2 } ] NIntegrate [ s ( t ) 2 , { t , 0 , 1 } ] P=\frac{\text{NIntegrate}\left[s(t)^2,\left\{t,0,\frac{1}{2}\right\}\right]}{\text{NIntegrate}[s(t)^2,\{t,0,1\}]}

which gives us P = 0.697901 P=0.697901 .

Is there a way to do it by hand?

Asker Friis Bach - 2 years, 4 months ago

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Good question... I wasn't able to solve that differential eqn by hand but I hope there is a way and I'd like to see an old way solution. Maybe Steven Chase could provide one...

Riccardo Baldini - 2 years, 4 months ago

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I solved it numerically as well

Steven Chase - 2 years, 4 months ago

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