The scattering matrix. The theory of scattering generalizes in a pretty obvious way to arbitrary localized potentials to the left (Region I),V(x)=0soψ(x)=Aeikx+Be-ikx,wherek2mE

To the right (Region III),V(x)is again zero, soψ(x)=Feikx+Ge-ikxIn between (Region II), of course, I can't tell you what is until you specify the potential, but because the Schrödinger equation is a linear, second-order differential equation, the general solution has got to be of the form

ψwhere f(x)and g(x)are two linearly independent particular solutions. 48 There will be four boundary conditions (two joining Regions I and II, and two joining Regions II and III). Two of these can be used to eliminate C and D, and the other two can be "solved" for B and F in terms of \(A\) and G

B=S11A+S12G.F=S21A+S22G

The four coefficientsSijwhich depend on k (and hence on E), constitute a2×2matrix s called the scattering matrix (or S-matrix, for short). The S-matrix tells you the outgoing amplitudes (B and F) in terms of the incoming amplitudes (A and G):

(BF)=(S11S21S21S22)(AG)

In the typical case of scattering from the left, G=0so the reflection and transmission coefficients are

Rl=|B|2|A|2|G=0=|S11|2.TI=|F|2|A|2|G=0=|S2|2.

For scattering from the right, and

Rr=|F|2|G|2A=0=|S22|2.Tr=|B|2|G|2A=0=|S12|2.

(a) Construct the S-matrix for scattering from a delta-function well (Equation 2.114). (b) Construct the S-matrix for the finite square well (Equation 2.145). Hint: This requires no new work, if you carefully exploit the symmetry of the problem.

Short Answer

Expert verified

(a) The required S matrix is11-iβiβ11iβ.

(b) The S-matrix for the finite square well is

S=e-2ikacos2la-ik2+l22klsin2lail2+k22klsin2la11il2+k22klsin2la

Step by step solution

01

Define the Schrödinger equation

A differential equation that describes matter in quantum mechanics in terms of the wave-like properties of particles in a field. Its answer is related to a particle's probability density in space and time.

02

Step 2: Construct the S-matrix

(a)

Given equation from 2.133 :

F+G=A+B …………….. (1)

Again from the equation 2.135 :

F-G=(1+2)A-(1-2)Bβ=/2k.(2)

Subtracting equations 1 and 2 as:

2G=-2A+21-iβBB=11-iβA+G

Then multiply equation 1 by(1-2iβ) as:

role="math" localid="1658292860542" 21-F-2iβG=2AF=11-A+iβGS=11-11

Hence, the S matrix is 11-iβiβ11iβ.

03

Form the matrix.

(b)

Given infinite square well:

S=11-11S21=e-2ikacos2la-ik2+l22klsin2laS11=il2+k22klsin2lae-2ikacos2la-ik2+l22klsin2laS=e-2ikacos2la-ik2+l22klsin2lail2+k22klsin2la11il2+k22klsin2la

Thus, the S-matrix for the finite square wellS=e-2ikacos2la-ik2+l22klsin2lail2+k22klsin2la11il2+k22klsin2la.

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Most popular questions from this chapter

Question: Find the probability current, J (Problem 1.14) for the free particle wave function Equation 2.94. Which direction does the probability flow?

The gaussian wave packet. A free particle has the initial wave function

Y(x,0)=Ae-ax2

whereAand are constants ( is real and positive).

(a) NormalizeY(x,0)

(b) Find Y(x,t). Hint: Integrals of the form

-+e-(ax2+bx)dx

Can be handled by “completing the square”: Lety=a[x+bl2a], and note that(ax2+bx)=y2-(b2l4a). Answer:

localid="1658297483210" Y(x,t)=(2aπ)1/4e-ex2l[1+(2ihatlm)]1+(2ihatlm)

(c) Find . Express your answer in terms of the quantity

localid="1658297497509" ω=a1+(2ihatlm)2

Sketchlocalid="1658124147567" |Y|2(as a function of x) at t=0, and again for some very large t. Qualitatively, what happens to |Y|2, as time goes on?

(d) Find <x>,<p>,<x2>,<p2>,σxand σP. Partial answer:localid="1658297458579" <p2>=ah2, but it may take some algebra to reduce it to this simple form.

(e) Does the uncertainty principle hold? At what time tdoes the system come

closest to the uncertainty limit?

A particle of mass m and kinetic energy E > 0 approaches an abrupt potential drop V0 (Figure 2.19).

(a)What is the probability that it will “reflect” back, if E = V0/3? Hint: This is just like problem 2.34, except that the step now goes down, instead of up.

(b) I drew the figure so as to make you think of a car approaching a cliff, but obviously the probability of “bouncing back” from the edge of a cliff is far smaller than what you got in (a)—unless you’re Bugs Bunny. Explain why this potential does not correctly represent a cliff. Hint: In Figure 2.20 the potential energy of the car drops discontinuously to −V0, as it passes x = 0; would this be true for a falling car?

(c) When a free neutron enters a nucleus, it experiences a sudden drop in potential energy, from V = 0 outside to around −12 MeV (million electron volts) inside. Suppose a neutron, emitted with kinetic energy 4 MeV by a fission event, strikes such a nucleus. What is the probability it will be absorbed, thereby initiating another fission? Hint: You calculated the probability of reflection in part (a); use T = 1 − R to get the probability of transmission through the surface.

Calculate (x),(x2),(p),(p2),σxandσp,for the nth stationary state of the infinite square well. Check that the uncertainty principle is satisfied. Which state comes closest to the uncertainty limit?

In this problem we explore some of the more useful theorems (stated without proof) involving Hermite polynomials.

a. The Rodrigues formula says thatHn(ξ)=(1)neξ2(d)neξ2

Use it to derive H3 and H4 .

b. The following recursion relation gives you Hn+1 in terms of the two preceding Hermite polynomials: Hn+1(ξ)=2ξHn(ξ)2nHn1(ξ)

Use it, together with your answer in (a), to obtain H5 and H6 .

(c) If you differentiate an nth-order polynomial, you get a polynomial of

Order (n-1). For the Hermite polynomials, in fact,

dHn=2nHn1(ξ)

Check this, by differentiatingH5and H6.

d. Hn(ξ)is the nth z-derivative, at z = 0, of the generating function exp(z2+2ξz)or, to put it another way, it is the coefficient ofznn! in the Taylor series expansion for this function: ez2+2ξz=n=0znn!Hn(ξ)

Use this to obtain H0,H1and H2.

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