EE201/MSE207 Lecture 5 Bound and scattering (unbound) states - - PowerPoint PPT Presentation

ee201 mse207 lecture 5 bound and scattering unbound states
SMART_READER_LITE
LIVE PREVIEW

EE201/MSE207 Lecture 5 Bound and scattering (unbound) states - - PowerPoint PPT Presentation

EE201/MSE207 Lecture 5 Bound and scattering (unbound) states + When a particle is limited in space (bound) and when not (unbound)? In QM the answer is somewhat similar to the


slide-1
SLIDE 1

EE201/MSE207 Lecture 5 Bound and “scattering” (unbound) states

When a particle is limited in space (“bound”) and when not (“unbound”)? 𝑊 −∞ 𝑊 +∞ 𝐹 𝐹 𝑊 𝑦 In QM the answer is somewhat similar to the classical case: If 𝐹 < 𝑊(+∞) 𝐹 < 𝑊(−∞) , then bound (localized, cannot go to infinity) If 𝐹 > 𝑊 ∞ or 𝐹 > 𝑊 −∞ , then unbound (“scattering”); can be at infinity, free particle there, 𝜔 ∝ exp ±𝑗𝑙𝑦 . Why called “scattering”? Scattered particles (2D, 3D). Important: Bound states  discrete energy spectrum (as for infinite QW and oscillator) Scattering states  continuous energy spectrum (as for free particle) We will analyze bound and scattering states in an important for applications example: finite square well

slide-2
SLIDE 2

Finite square well

− ℏ2 2𝑛 𝑒2𝜔 𝑒𝑦2 + 𝑊(𝑦)𝜔 = 𝐹𝜔

width 2𝑏 (it was 𝑏 for infinite well) depth 𝑊 Three regions: (1) 𝑦 < −𝑏, (2) −𝑏 < 𝑦 < 𝑏, (3) 𝑦 > 𝑏 𝑊(𝑦) 𝑏 −𝑏 −𝑊

𝑊 𝑦 = −𝑊

0 ,

−𝑏 < 𝑦 < 𝑏 0 , 𝑦 > 𝑏

Today: Bound states, 𝐹 < 0 (𝐹 < 𝐹 ±∞ = 0)

TISE 𝐹 −𝑊 𝐹 + 𝑊

𝐹 < 0 𝑊

0 > 0

𝐹 + 𝑊

0 > 0

(1) (2) (3)

slide-3
SLIDE 3

− ℏ2 2𝑛 𝑒2𝜔 𝑒𝑦2 + 𝑊(𝑦)𝜔 = 𝐹𝜔

𝐵 = 0 because 𝜔 −∞ = 0

Solving TISE in 3 regions

𝐹 −𝑊 𝐹 + 𝑊

𝐹 < 0, 𝑊

0 > 0,

𝐹 + 𝑊

0 > 0

(1) (2) (3) (1) 𝑦 < −𝑏  𝑊 = 0 

𝑒2𝜔 𝑒𝑦2 = − 2𝑛𝐹 ℏ2 𝜔

> 0, = 𝑙2

𝜔 𝑦 = 𝐵 𝑓−𝑙𝑦 + 𝐶 𝑓𝑙𝑦, 𝑙 = −2𝑛𝐹 ℏ

(2) −𝑏 < 𝑦 < 𝑏  𝑊 = −𝑊 

𝑒2𝜔 𝑒𝑦2 = − 2𝑛(𝑊

0 + 𝐹)

ℏ2 𝜔

< 0, = −𝑚2

𝜔 𝑦 = 𝐷 sin(𝑚𝑦) + 𝐸 cos(𝑚𝑦) 𝑚 = 2𝑛(𝑊

0 + 𝐹)

(sin and cos are more convenient for bound states,

𝑓±𝑗𝑚𝑦 more convenient for scattering states) (3) 𝑦 > 𝑏  𝑊 = 0 

𝜔 𝑦 = 𝐺 𝑓−𝑙𝑦 + 𝐻 𝑓𝑙𝑦

(the same 𝑙) 𝐻 = 0 because 𝜔 +∞ = 0

slide-4
SLIDE 4

𝐹 −𝑊 𝐹 + 𝑊 (1) (2) (3) (1) 𝑦 < −𝑏

𝜔 𝑦 = 𝐶 𝑓𝑙𝑦, 𝑙 = −2𝑛𝐹 ℏ

(2) −𝑏 < 𝑦 < 𝑏

𝜔 𝑦 = 𝐷 sin(𝑚𝑦) + 𝐸 cos(𝑚𝑦) 𝑚 = 2𝑛(𝑊

0 + 𝐹) ℏ

(3) 𝑦 > 𝑏

𝜔 𝑦 = 𝐺 𝑓−𝑙𝑦

Boundary conditions:

1) 𝜔 𝑦 is continuous 2) 𝑒𝜔/𝑒𝑦 is also continuous 2’) actually, in semiconductors condition 2) is different:

1 𝑛𝑓𝑔𝑔 𝑒𝜔 𝑒𝑦 is continuous

(this is not discussed in Griffiths’ book) Follows from continuity

  • f probability current

𝑗ℏ 2𝑛 𝜔 𝑒𝜔∗ 𝑒𝑦 − 𝜔∗ 𝑒𝜔 𝑒𝑦 We have 5 equations (4 boundary conditions and normalization) and 5 unknowns (𝐶, 𝐷, 𝐸, 𝐺, and 𝐹). Possible to solve, but too many. Simplification: trick of odd and even functions 𝑔 −𝑦 = 𝑔(𝑦) even 𝑔 −𝑦 = −𝑔(𝑦) odd

slide-5
SLIDE 5

Trick of odd and even functions for even potential, 𝑊 −𝑦 = 𝑊(𝑦)

In our case 𝑊(𝑦) is even Theorem If 𝑊 −𝑦 = 𝑊(𝑦) and 𝜔 𝑦 is a solution of TISE with energy 𝐹, 𝐼𝜔 = 𝐹𝜔, then 𝜔(−𝑦) is also a solution with the same energy, 𝐼𝜔(−𝑦) = 𝐹𝜔(−𝑦). (simple to prove, and also quite obvious) Then 𝜔 𝑦 + 𝜔(−𝑦) is also a solution, and 𝜔 𝑦 − 𝜔(−𝑦) is also a solution (because TISE is linear in 𝜔), (not necessarily normalized, but not a problem) 𝜔 𝑦 + 𝜔(−𝑦) is even 𝜔 𝑦 − 𝜔(−𝑦) is odd (actually, if 𝜔(𝑦) is even or odd, then one of the combinations is zero) Therefore, it is sufficient to find only even and odd solutions of TISE

slide-6
SLIDE 6

Even solutions for finite square well

𝜔 𝑦 = 𝐶 exp 𝑙𝑦 , 𝑦 < −𝑏 𝐸 cos 𝑚𝑦 , 𝑦 < 𝑏 𝐶 exp −𝑙𝑦 , 𝑦 > 𝑏

(no sin-term) (the same factor 𝐶)

  • nly 3 unknowns:

𝐶, 𝐸, 𝐹 Boundary condition at 𝑦 = 𝑏 (b.c. at 𝑦 = −𝑏 gives the same): 𝐶 exp(−𝑙𝑏) = 𝐸 cos(𝑚𝑏) −𝑙𝐶 exp −𝑙𝑏 = −𝑚𝐸 sin(𝑚𝑏) Divide equations:

𝑙 = 𝑚 tan(𝑚𝑏)

This equation gives energy 𝐹 since 𝑙(𝐹), 𝑚(𝐹)

Rewrite: tan(𝑚𝑏) = 𝑙 𝑚 = −2𝑛𝐹/ℏ 2𝑛 𝑊

0 + 𝐹 /ℏ

= −𝐹 𝑊

0 + 𝐹 =

𝑊 𝑊

0 + 𝐹 − 1 =

𝑊

02𝑛

𝑚2ℏ2 − 1 tan(𝑚𝑏) = 𝑏2𝑊

02𝑛

ℏ2 𝑚𝑏 2 − 1

slide-7
SLIDE 7

Even solutions for finite square well

tan(𝑚𝑏) = 𝑏2𝑊

02𝑛

ℏ2 𝑚𝑏 2 − 1 Solve graphically Finite number of solutions: 𝑂even = int 𝑏 ℏ 2𝑛𝑊 𝜌 + 1 Limiting cases 1) 𝑏2𝑊

02𝑛

ℏ2 ≫ 1 (wide, deep well) Low levels: 𝑚𝑏 ≈ 2𝑜 + 1 𝜌/2, 𝐹𝑜 + 𝑊

0 = 𝑚2ℏ2

2𝑛 ≈ 2𝑜 + 1 2𝜌2ℏ2 2𝑛 2𝑏 2 (similar to infinite well, but only odd states and 𝑏 → 2𝑏) 𝑏2𝑊

02𝑛

ℏ2 ≪ 1

2)

(shallow, narrow well) Only one level: 𝑚𝑏 ≈ 𝑏 2𝑛𝑊

0/ℏ ≪ 1,

𝐹 ≪ 𝑊 𝑚 = 2𝑛(𝑊

0 + 𝐹)

slide-8
SLIDE 8

Even solutions for finite square well: normalization

(not important)

−∞ ∞

𝜔 𝑦

2 𝑒𝑦 = 1

⟹ 𝜔 𝑦 = 𝐶 exp 𝑙𝑦 , 𝑦 < −𝑏 𝐸 cos 𝑚𝑦 , 𝑦 < 𝑏 𝐶 exp −𝑙𝑦 , 𝑦 > 𝑏

Normalization

𝐶 = exp 𝑙𝑏 cos(𝑚𝑏) 𝑏 + 1/𝑙 𝐸 = 1 𝑏 + 1/𝑙

slide-9
SLIDE 9

Odd solutions (similar)

𝜔 𝑦 = 𝐶 exp 𝑙𝑦 , 𝑦 < −𝑏 𝐷 sin(𝑚𝑦), 𝑦 < 𝑏 −𝐶 exp −𝑙𝑦 , 𝑦 > 𝑏

(no cos-term) (−𝐶 since odd)

Boundary condition at 𝑦 = 𝑏: −𝐶 exp −𝑙𝑏 = 𝐷 sin(𝑚𝑏) 𝑙𝐶 exp −𝑙𝑏 = 𝐷𝑚 cos(𝑚𝑏) Divide equations:

𝑙 = −𝑚 cot(𝑚𝑏)

−cot(𝑚𝑏) = 𝑏2𝑊

02𝑛

ℏ2 𝑚𝑏 2 − 1 After some algebra: Similar to the even case, the only difference: tan 𝑚𝑏 → −cot(𝑚𝑏) (just shifted by 𝜌/2)

slide-10
SLIDE 10

Odd solutions for finite square well

−cot(𝑚𝑏) = 𝑏2𝑊

02𝑛

ℏ2 𝑚𝑏 2 − 1 Number of solutions: 𝑂odd = int 𝑏 ℏ 2𝑛𝑊 𝜌 + 1 2 Limiting cases 1) 𝑏2𝑊

02𝑛

ℏ2 ≫ 1 (wide, deep well) Low levels: 𝑚𝑏 ≈ 𝑜𝜌, 𝐹𝑜 + 𝑊

0 = 𝑚2ℏ2

2𝑛 ≈ 2𝑜 2𝜌2ℏ2 2𝑛 2𝑏 2 (these are remaining solutions for infinite well with 𝑏 → 2𝑏)

2)

Shallow, narrow well No odd solutions if

Total number of solutions:

𝑂even + 𝑂odd = int 𝑏 ℏ 2𝑛𝑊 𝜌/2 + 1 𝑊

0 < 𝜌2ℏ2

8𝑛𝑏2

slide-11
SLIDE 11

Digression: some integrals

−∞ ∞

𝑓−𝑏𝑦2𝑒𝑦 = 𝜌 𝑏

(easy to derive by squaring and considering as a double-integral; also from normalization of a Gaussian:

−∞ ∞ 1 2𝜌𝐸 𝑓−𝑦2/2𝐸𝑒𝑦 = 1.

Take derivative in respect to parameter 𝑏

−∞ ∞

−𝑦2 𝑓−𝑏𝑦2𝑒𝑦 = − 𝜌 2𝑏3/2

−∞ ∞

𝑦2 𝑓−𝑏𝑦2𝑒𝑦 = 𝜌 2𝑏3/2

Take another derivative with respect to 𝑏, similarly:

−∞ ∞

𝑦4 𝑓−𝑏𝑦2𝑒𝑦 = 3 𝜌 4𝑏5/2

(and so on: 𝑦6, 𝑦8, etc.) Can construct a similar series, starting with

𝑦 𝑓−𝑏𝑦2𝑒𝑦 = 1 2𝑏