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Lecture 10, p 1
“‘Quantum mechanics’ is the description
of the behavior of matter and light in all
its details and, in particular, of the
happenings on an atomic scale. Things on
a very small scale behave like nothing
that you have any direct experience
about. They do not behave like waves,
they do not behave like particles, they do
not behave like clouds, or billiard balls, or
weights on springs, or like anything that
you have ever seen.”
--Richard P. Feynman
Lecture 10, p 2
Lecture 10:
The Schrödinger Equation
Lecture 10, p 3
This week and last week are critical for the course:
Week 3, Lectures 7-9: Week 4, Lectures 10-12:
Light as Particles Schrödinger Equation
Particles as waves Particles in infinite wells, finite wells
Probability
Uncertainty Principle
Next week:
Homework 4 covers material in lecture 10 – due on Thur. Feb. 17.
We strongly encourage you to look at the homework before the midterm!
Discussion: Covers material in lectures 10-12. There will be a quiz.
Lab: Go to 257 Loomis (a computer room).
You can save a lot of time by reading the lab ahead of time –
It’s a tutorial on how to draw wave functions.
Midterm Exam Monday, Feb. 14.
It will cover lectures 1-11 and some aspects of lectures 11-12.
Practice exams: Old exams are linked from the course web page.
Review Sunday, Feb. 13, 3-5 PM in 141 Loomis
Office hours: Feb. 13 and 14
Lecture 10, p 4
Overview
Probability distributions
Schrödinger’s Equation
Particle in a “Box”
Matter waves in an infinite square well
Quantized energy levels
Wave function normalization
Nice descriptions in the text – Chapter 40
Good web site for animations http://www.falstad.com/qm1d/
U=
y(x)
0 L
U=
n=1
n=2
x
n=3
Lecture 10, p 5
Having established that matter acts qualitatively like a wave, we want to
be able to make precise quantitative predictions, under given conditions.
Usually the conditions are specified by giving a potential energy U(x,y,z)
in which the particle is located.
Examples:
Electron in the coulomb potential produced by the nucleus
Electron in a molecule
Electron in a solid crystal
Electron in a nanostructure ‘quantum dot’
Proton in the nuclear potential inside the nucleus
x
U(x)
For simplicity,
consider a
1-dimensional
potential energy
function, U(x).
Matter Waves - Quantitative
Classically, a particle in
the lowest energy state
would sit right at the
bottom of the well. In QM
this is not possible.
(Why?)
Lecture 10, p 6
Act 1: Classical probability distributions
x
P(x)
a
b
c
E
x
U(x)
Ball in a box:
 
x
P(x)
E
Ball in a valley:
x
U(x)
a
b
c
HINT: Think about speed vs position.
Start a classical (large) object moving in a potential well (two are shown here).
At some random time later, what is the probability of finding it near position x?
KE
Total energy E
= KE + U(x)
Lecture 10, p 7
KE
Solution
Total energy E
= KE + U(x)
Probability is equally
distributed
x
P(x)
a
b
c
E
x
U(x)
Ball in a box:
 
x
P(x)
E
Ball in a valley:
x
U(x)
a
b
c
Start a classical (large) object moving in a potential well (two are shown here).
At some random time later, what is the probability of finding it near position x?
KE
Lecture 10, p 8
Solution
More likely to spend time
at the edges.
Total energy E
= KE + U(x)
Probability is equally
distributed
To predict a quantum particle’s behavior, we need an equation that tells us
how the particle’s wave function, Y(x,y,z,t), changes in space and time.
x
P(x)
a
b
c
E
KE
x
U(x)
Ball in a box:
 
x
P(x)
E
KE
Ball in a valley:
x
U(x)
a
b
c
Start a classical (large) object moving in a potential well (two are shown here).
At some random time later, what is the probability of finding it near position x?
Lecture 10, p 9
In 1926, Erwin Schrödinger proposed an equation that described the time- and
space-dependence of the wave function for matter waves (i.e., electrons,
protons,...)
There are two important forms for the SEQ.
First we will focus on a very important special case of the SEQ, the
time-independent SEQ. Also simplify to 1-dimension: y(x,y,z)  y(x).
This special case applies when the particle has a definite total energy
(E in the equation). We’ll consider the more general case (E has a
probability distribution), and also 2D and 3D motion, later.
Time does not appear in the equation. Therefore, y(x,y,z)
is a standing wave, because the probability density, |y(x)|2,
is not a function of time. We call y(x,y,z) a “stationary state”.
2 2
2
( )
( ) ( ) ( )
2
d x
U x x E x
m dx
y
y y
  
2
h


Notation:
Distinguish
Y(x,y,z,t) from
y(x,y,z).
QM entities don’t
always have a
definite energy.
The Schrödinger Equation (SEQ)
Lecture 10, p 10
Time-Independent SEQ
What does the time-independent SEQ represent?
It’s actually not so puzzling…it’s just an expression of a familiar result:
Kinetic Energy (KE) + Potential Energy (PE) = Total Energy (E)
Can we understand the KE term? Consider a particle with a definite momentum.
Its wave function is: y(x)  cos(kx), where p = h/l = ħk.
So, the first term in the SEQ is (p2/2m)y.
Note that the KE of the particle depends on the curvature (d2y/dx2) of the wave
function. This is sometimes useful when analyzing a problem.
KE term PE term Total E term
2 2
2
( )
( ) ( ) ( )
2
d x
U x x E x
m dx
y
y y
  
2 2
2
2 2
si cos
( )
n ) ( ) (
d
d
k k
p
k kx x
x
dx d
x
y
y
y
 
  


Lecture 10, p 11
Particle Wavefunctions: Examples
The corresponding probability distributions |y(x)|2 of these states are:
|y|2
x
|y|2
x
|y|2
x
Key point: Particle cannot be associated with a specific location x.
-- like the uncertainty that a particle went through slit 1 or slit 2.
What do the solutions to the SEQ look like for general U(x)?
Examples of y(x) for a particle in a given potential U(x) (but with different E):
y(x)
x
y(x)
x
y(x)
x
We call these
wavefunctions
“eigenstates”
of the
particle.
These are
special states:
‘energy eigenstates’.
Act 2: Particle Wavefunction
The three wavefunctions below represent states of a particle
in the same potential U(x), and over the same range of x:
1. Which of these wavefunctions represents the particle with the lowest
kinetic energy? (Hint: Think “curvature”.)
2. Which corresponds to the highest kinetic energy?
y(x)
x
y(x)
x
(a) (b) (c)
y(x)
x
Act 2: Particle Wavefunction - Solution
The three wavefunctions below represent states of a particle
in the same potential U(x), and over the same range of x:
1. Which of these wavefunctions represents the particle with the lowest
kinetic energy? (Hint: Think “curvature”.)
2. Which corresponds to the highest kinetic energy?
y(x)
x
y(x)
x
(a) (b) (c)
y(x)
x
Highest
KE
Lowest
KE
The curvature of the wavefunction
represents kinetic energy: 2
2
2
)
(
2 dx
x
d
m
y

 y
m
2
p2
Since (b) clearly has the least curvature, that particle has lowest KE.
(a) has highest curvature  highest KE
In this case you can also
look at the wavelengths, but
that doesn’t always work.
Probability distribution
Difference between classical and quantum cases
E
x
U(x)
x
P(x)
Classical
(particle with same energy
as in qunatum case)
In classical
mechanics, the
particle is most
likely to be
found where its
speed is slowest
Quantum
(lowest energy state state)
E
x
U(x)
x
P(x)
= y2
In quantum mechanics, the particle
can also be found where it is
“forbidden” in classical mechanics .
In classical mechanics, the particle
moves back and forth coming to rest
at each “turning point”
In quantum
mechanics, the
particle can be
most likely to be
found at the
center.
Lecture 10, p 15
Notice that if U(x) = constant, this equation has the simple form:
where is a constant that might be positive or negative.
2
2
( )
d
C x
dx
y
y

For positive C (i.e., U > E), what is the form of the solution?
a) sin kx b) cos kx c) eax d) e-ax
For negative C (U < E) what is the form of the solution?
a) sin kx b) cos kx c) eax d) e-ax
Most of the wave functions in P214 will be sinusoidal or exponential.
2
2m
( )
C U E
 
2 2
2
( )
( ) ( ) ( )
2
d x
U x x E x
m dx
y
y y
  
Solutions to the time-independent SEQ
Lecture 10, p 16
Notice that if U(x) = constant, this equation has the simple form:
where is a constant that might be positive or negative.
2
2
( )
d
C x
dx
y
y

For positive C (i.e., U > E), what is the form of the solution?
a) sin kx b) cos kx c) eax d) e-ax
For negative C (U < E) what is the form of the solution?
a) sin kx b) cos kx c) eax d) e-ax
Most of the wave functions in P214 will be sinusoidal or exponential.
2
2m
( )
C U E
 
2 2
2
( )
( ) ( ) ( )
2
d x
U x x E x
m dx
y
y y
  
Solution
Lecture 10, p 17
This is a basic problem in “Nano-science”. It’s a
simplified (1D) model of an electron confined in a
quantum structure (e.g., “quantum dot”), which
scientists/engineers make, e.g., at the UIUC
Microelectronics Laboratory.
Example: “Particle in a Box”
www.kfa-juelich.de/isi/
newt.phys.unsw.edu.au
Quantum
dots
As a specific important example, consider a quantum particle
confined to a region, 0 < x < L, by infinite potential walls.
We call this a “one-dimensional (1D) box”.
U = 0 for 0 < x < L
U =  everywhere else
U(x)
0 L
 
We already know the
form of y when U = 0.
It’s sin(kx) or cos(kx).
However, we can constrain
y more than this.
Web site
Lecture 10, p 18
We can solve the SEQ wherever we know U(x). However, in many
problems, including the 1D box, U(x) has different functional forms in
different regions. In our box problem, there are three regions:
1: x < 0
2: 0 < x < L
3: x > L
y(x) will have different functional forms in the different regions.
We must make sure that y(x) satisfies the constraints (e.g., continuity) at
the boundaries between these regions.
The extra conditions that y must satisfy are called “boundary conditions”.
They appear in many problems.
Boundary conditions
 A standing wave is the solution for a wave confined to a region
 Boundary condition: Constraints on a wave where the potential changes
 Displacement = 0 for wave on string E = 0 at surface of a conductor
E = 0
 If both ends are constrained (e.g., for a cavity of length L), then only certain
wavelengths l are possible:
nl = 2L
n = 1, 2, 3 …
‘mode index’
L
Boundary conditions  Standing waves
n l f
1 2L v/2L
2 L v/L
3 2L/3 3v/2L
4 L/2 2v/L
n 2L/n nv/2L
Lecture 10, p 20
Particle in a Box
The waves have exactly the same form as standing waves on a string,
sound waves in a pipe, etc.
The wavelength is determined by the condition that it fits in the box.
On a string the wave is a displacement y(x) and the square is the
intensity, etc. The discrete set of allowed wavelengths results in a
discrete set of tones that the string can produce.
In a quantum box, the wave is the probability amplitude y(x) and the
square |y(x)|2 is the probability of finding the electron near point x.
The discrete set of allowed wavelengths results in a discrete set of
allowed energies that the particle can have.
Lecture 10, p 21
Particle in a Box (1)
Region I: When U = , what is y(x)?
2
2 2
( ) 2
( ) ( ) 0
d x m
E U x
dx
y
y
  
For U = , the SEQ can only be satisfied if:
Otherwise, the energy would have to be infinite, to cancel U.
yI(x) = 0
U = 0 for 0 < x < L
U =  everywhere else
U(x)
0 L
 
I I
II
yI yI
Regions 1 and 3 are identical, so we really only need to deal with two
distinct regions, (I) outside, and (II) inside the well
Note: The infinite well is an idealization.
There are no infinitely high and sharp barriers.
Lecture 10, p 22
Particle in a Box (2)
Region II: When U = 0, what is y(x)?
The general solution is a superposition of sin and cos:
U(x)
0 L
 
II
Remember that k and E are related:
B1 and B2 are coefficients to be determined by the boundary conditions.
1 2
( ) sin cos
x B kx B kx
y  
y
2 2 2 2
2
2 2 2
p k h
E
m m ml
  
2
where, k

l

2
2 2
( ) 2
( ) ( ) 0
d x m
E U x
dx
y
y
  
2
2 2
( ) 2
( )
d x mE
x
dx
y
y
 
  
 
because U = 0
Lecture 10, p 23
Particle in a Box (3)
Now, let’s worry about the boundary conditions.
Match y at the left boundary (x = 0).
( ) ( )
1 2
(0) (0)
0 sin 0 cos 0
I II
B B
y y

 

because cos(0) = 1 and sin(0) = 0
2
0 B

This “boundary condition” requires that there be no cos(kx) term!
Region I:
Region II:
( ) 0
I x
y 
1 2
( ) sin cos
II x B kx B kx
y  
Recall: The wave function y(x) must be continuous at all boundaries.
Therefore, at x = 0:
U(x)
0 L
 
II
I I
yI yI
yII
Lecture 10, p 24
Particle in a Box (4)
Now, match y at the right boundary (x = L).
At x = L:
This constraint requires k to have special values:
1, 2,...
n n
n
k
L



2
Using k , we find n L
: 2

l
l
 
This is the same condition we found for confined waves,
e.g., waves on a string, EM waves in a laser cavity, etc.:
For matter waves, the
wavelength is related to
the particle energy:
E = h2/2ml2
Therefore
n l (= v/f)
4 L/2
3 2L/3
2 L
1 2L
U(x)
0 L
 
II
I I
yI yI
yII
( )
1
( ) ( )
0 sin
I II
L L
B kL
y y



Lecture 10, p 25
The Energy is Quantized
Due to Confinement by the Potential
U =  U = 
0 x
L
En
n=1
n=2
n=3
The discrete En are known as “energy eigenvalues”:
n l (= v/f) E
4 L/2 16E1
3 2L/3 9E1
2 L 4E1
1 2L E1
2 2 2
2 2
2
2
1 1 2
n 2L
1.505
2 2
where
8
n
n
n n
n
p h eV nm
E
m m
h
E E n E
mL
l
l l


  
 
electron
Important features:
 Discrete energy levels.
 E1  0  an example of the uncertainty principle
 Standing wave (±p for a given E)
 n = 0 is not allowed. (why?)
Lecture 10, p 26
Next Lectures
“Normalizing” the wavefunction
General properties of bound-state wavefunctions
Finite-depth square well potential (more realistic)
Harmonic oscillator

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Lect10.ppt

  • 1. Lecture 10, p 1 “‘Quantum mechanics’ is the description of the behavior of matter and light in all its details and, in particular, of the happenings on an atomic scale. Things on a very small scale behave like nothing that you have any direct experience about. They do not behave like waves, they do not behave like particles, they do not behave like clouds, or billiard balls, or weights on springs, or like anything that you have ever seen.” --Richard P. Feynman
  • 2. Lecture 10, p 2 Lecture 10: The Schrödinger Equation
  • 3. Lecture 10, p 3 This week and last week are critical for the course: Week 3, Lectures 7-9: Week 4, Lectures 10-12: Light as Particles Schrödinger Equation Particles as waves Particles in infinite wells, finite wells Probability Uncertainty Principle Next week: Homework 4 covers material in lecture 10 – due on Thur. Feb. 17. We strongly encourage you to look at the homework before the midterm! Discussion: Covers material in lectures 10-12. There will be a quiz. Lab: Go to 257 Loomis (a computer room). You can save a lot of time by reading the lab ahead of time – It’s a tutorial on how to draw wave functions. Midterm Exam Monday, Feb. 14. It will cover lectures 1-11 and some aspects of lectures 11-12. Practice exams: Old exams are linked from the course web page. Review Sunday, Feb. 13, 3-5 PM in 141 Loomis Office hours: Feb. 13 and 14
  • 4. Lecture 10, p 4 Overview Probability distributions Schrödinger’s Equation Particle in a “Box” Matter waves in an infinite square well Quantized energy levels Wave function normalization Nice descriptions in the text – Chapter 40 Good web site for animations http://www.falstad.com/qm1d/ U= y(x) 0 L U= n=1 n=2 x n=3
  • 5. Lecture 10, p 5 Having established that matter acts qualitatively like a wave, we want to be able to make precise quantitative predictions, under given conditions. Usually the conditions are specified by giving a potential energy U(x,y,z) in which the particle is located. Examples: Electron in the coulomb potential produced by the nucleus Electron in a molecule Electron in a solid crystal Electron in a nanostructure ‘quantum dot’ Proton in the nuclear potential inside the nucleus x U(x) For simplicity, consider a 1-dimensional potential energy function, U(x). Matter Waves - Quantitative Classically, a particle in the lowest energy state would sit right at the bottom of the well. In QM this is not possible. (Why?)
  • 6. Lecture 10, p 6 Act 1: Classical probability distributions x P(x) a b c E x U(x) Ball in a box:   x P(x) E Ball in a valley: x U(x) a b c HINT: Think about speed vs position. Start a classical (large) object moving in a potential well (two are shown here). At some random time later, what is the probability of finding it near position x? KE Total energy E = KE + U(x)
  • 7. Lecture 10, p 7 KE Solution Total energy E = KE + U(x) Probability is equally distributed x P(x) a b c E x U(x) Ball in a box:   x P(x) E Ball in a valley: x U(x) a b c Start a classical (large) object moving in a potential well (two are shown here). At some random time later, what is the probability of finding it near position x? KE
  • 8. Lecture 10, p 8 Solution More likely to spend time at the edges. Total energy E = KE + U(x) Probability is equally distributed To predict a quantum particle’s behavior, we need an equation that tells us how the particle’s wave function, Y(x,y,z,t), changes in space and time. x P(x) a b c E KE x U(x) Ball in a box:   x P(x) E KE Ball in a valley: x U(x) a b c Start a classical (large) object moving in a potential well (two are shown here). At some random time later, what is the probability of finding it near position x?
  • 9. Lecture 10, p 9 In 1926, Erwin Schrödinger proposed an equation that described the time- and space-dependence of the wave function for matter waves (i.e., electrons, protons,...) There are two important forms for the SEQ. First we will focus on a very important special case of the SEQ, the time-independent SEQ. Also simplify to 1-dimension: y(x,y,z)  y(x). This special case applies when the particle has a definite total energy (E in the equation). We’ll consider the more general case (E has a probability distribution), and also 2D and 3D motion, later. Time does not appear in the equation. Therefore, y(x,y,z) is a standing wave, because the probability density, |y(x)|2, is not a function of time. We call y(x,y,z) a “stationary state”. 2 2 2 ( ) ( ) ( ) ( ) 2 d x U x x E x m dx y y y    2 h   Notation: Distinguish Y(x,y,z,t) from y(x,y,z). QM entities don’t always have a definite energy. The Schrödinger Equation (SEQ)
  • 10. Lecture 10, p 10 Time-Independent SEQ What does the time-independent SEQ represent? It’s actually not so puzzling…it’s just an expression of a familiar result: Kinetic Energy (KE) + Potential Energy (PE) = Total Energy (E) Can we understand the KE term? Consider a particle with a definite momentum. Its wave function is: y(x)  cos(kx), where p = h/l = ħk. So, the first term in the SEQ is (p2/2m)y. Note that the KE of the particle depends on the curvature (d2y/dx2) of the wave function. This is sometimes useful when analyzing a problem. KE term PE term Total E term 2 2 2 ( ) ( ) ( ) ( ) 2 d x U x x E x m dx y y y    2 2 2 2 2 si cos ( ) n ) ( ) ( d d k k p k kx x x dx d x y y y       
  • 11. Lecture 10, p 11 Particle Wavefunctions: Examples The corresponding probability distributions |y(x)|2 of these states are: |y|2 x |y|2 x |y|2 x Key point: Particle cannot be associated with a specific location x. -- like the uncertainty that a particle went through slit 1 or slit 2. What do the solutions to the SEQ look like for general U(x)? Examples of y(x) for a particle in a given potential U(x) (but with different E): y(x) x y(x) x y(x) x We call these wavefunctions “eigenstates” of the particle. These are special states: ‘energy eigenstates’.
  • 12. Act 2: Particle Wavefunction The three wavefunctions below represent states of a particle in the same potential U(x), and over the same range of x: 1. Which of these wavefunctions represents the particle with the lowest kinetic energy? (Hint: Think “curvature”.) 2. Which corresponds to the highest kinetic energy? y(x) x y(x) x (a) (b) (c) y(x) x
  • 13. Act 2: Particle Wavefunction - Solution The three wavefunctions below represent states of a particle in the same potential U(x), and over the same range of x: 1. Which of these wavefunctions represents the particle with the lowest kinetic energy? (Hint: Think “curvature”.) 2. Which corresponds to the highest kinetic energy? y(x) x y(x) x (a) (b) (c) y(x) x Highest KE Lowest KE The curvature of the wavefunction represents kinetic energy: 2 2 2 ) ( 2 dx x d m y   y m 2 p2 Since (b) clearly has the least curvature, that particle has lowest KE. (a) has highest curvature  highest KE In this case you can also look at the wavelengths, but that doesn’t always work.
  • 14. Probability distribution Difference between classical and quantum cases E x U(x) x P(x) Classical (particle with same energy as in qunatum case) In classical mechanics, the particle is most likely to be found where its speed is slowest Quantum (lowest energy state state) E x U(x) x P(x) = y2 In quantum mechanics, the particle can also be found where it is “forbidden” in classical mechanics . In classical mechanics, the particle moves back and forth coming to rest at each “turning point” In quantum mechanics, the particle can be most likely to be found at the center.
  • 15. Lecture 10, p 15 Notice that if U(x) = constant, this equation has the simple form: where is a constant that might be positive or negative. 2 2 ( ) d C x dx y y  For positive C (i.e., U > E), what is the form of the solution? a) sin kx b) cos kx c) eax d) e-ax For negative C (U < E) what is the form of the solution? a) sin kx b) cos kx c) eax d) e-ax Most of the wave functions in P214 will be sinusoidal or exponential. 2 2m ( ) C U E   2 2 2 ( ) ( ) ( ) ( ) 2 d x U x x E x m dx y y y    Solutions to the time-independent SEQ
  • 16. Lecture 10, p 16 Notice that if U(x) = constant, this equation has the simple form: where is a constant that might be positive or negative. 2 2 ( ) d C x dx y y  For positive C (i.e., U > E), what is the form of the solution? a) sin kx b) cos kx c) eax d) e-ax For negative C (U < E) what is the form of the solution? a) sin kx b) cos kx c) eax d) e-ax Most of the wave functions in P214 will be sinusoidal or exponential. 2 2m ( ) C U E   2 2 2 ( ) ( ) ( ) ( ) 2 d x U x x E x m dx y y y    Solution
  • 17. Lecture 10, p 17 This is a basic problem in “Nano-science”. It’s a simplified (1D) model of an electron confined in a quantum structure (e.g., “quantum dot”), which scientists/engineers make, e.g., at the UIUC Microelectronics Laboratory. Example: “Particle in a Box” www.kfa-juelich.de/isi/ newt.phys.unsw.edu.au Quantum dots As a specific important example, consider a quantum particle confined to a region, 0 < x < L, by infinite potential walls. We call this a “one-dimensional (1D) box”. U = 0 for 0 < x < L U =  everywhere else U(x) 0 L   We already know the form of y when U = 0. It’s sin(kx) or cos(kx). However, we can constrain y more than this. Web site
  • 18. Lecture 10, p 18 We can solve the SEQ wherever we know U(x). However, in many problems, including the 1D box, U(x) has different functional forms in different regions. In our box problem, there are three regions: 1: x < 0 2: 0 < x < L 3: x > L y(x) will have different functional forms in the different regions. We must make sure that y(x) satisfies the constraints (e.g., continuity) at the boundaries between these regions. The extra conditions that y must satisfy are called “boundary conditions”. They appear in many problems. Boundary conditions
  • 19.  A standing wave is the solution for a wave confined to a region  Boundary condition: Constraints on a wave where the potential changes  Displacement = 0 for wave on string E = 0 at surface of a conductor E = 0  If both ends are constrained (e.g., for a cavity of length L), then only certain wavelengths l are possible: nl = 2L n = 1, 2, 3 … ‘mode index’ L Boundary conditions  Standing waves n l f 1 2L v/2L 2 L v/L 3 2L/3 3v/2L 4 L/2 2v/L n 2L/n nv/2L
  • 20. Lecture 10, p 20 Particle in a Box The waves have exactly the same form as standing waves on a string, sound waves in a pipe, etc. The wavelength is determined by the condition that it fits in the box. On a string the wave is a displacement y(x) and the square is the intensity, etc. The discrete set of allowed wavelengths results in a discrete set of tones that the string can produce. In a quantum box, the wave is the probability amplitude y(x) and the square |y(x)|2 is the probability of finding the electron near point x. The discrete set of allowed wavelengths results in a discrete set of allowed energies that the particle can have.
  • 21. Lecture 10, p 21 Particle in a Box (1) Region I: When U = , what is y(x)? 2 2 2 ( ) 2 ( ) ( ) 0 d x m E U x dx y y    For U = , the SEQ can only be satisfied if: Otherwise, the energy would have to be infinite, to cancel U. yI(x) = 0 U = 0 for 0 < x < L U =  everywhere else U(x) 0 L   I I II yI yI Regions 1 and 3 are identical, so we really only need to deal with two distinct regions, (I) outside, and (II) inside the well Note: The infinite well is an idealization. There are no infinitely high and sharp barriers.
  • 22. Lecture 10, p 22 Particle in a Box (2) Region II: When U = 0, what is y(x)? The general solution is a superposition of sin and cos: U(x) 0 L   II Remember that k and E are related: B1 and B2 are coefficients to be determined by the boundary conditions. 1 2 ( ) sin cos x B kx B kx y   y 2 2 2 2 2 2 2 2 p k h E m m ml    2 where, k  l  2 2 2 ( ) 2 ( ) ( ) 0 d x m E U x dx y y    2 2 2 ( ) 2 ( ) d x mE x dx y y        because U = 0
  • 23. Lecture 10, p 23 Particle in a Box (3) Now, let’s worry about the boundary conditions. Match y at the left boundary (x = 0). ( ) ( ) 1 2 (0) (0) 0 sin 0 cos 0 I II B B y y     because cos(0) = 1 and sin(0) = 0 2 0 B  This “boundary condition” requires that there be no cos(kx) term! Region I: Region II: ( ) 0 I x y  1 2 ( ) sin cos II x B kx B kx y   Recall: The wave function y(x) must be continuous at all boundaries. Therefore, at x = 0: U(x) 0 L   II I I yI yI yII
  • 24. Lecture 10, p 24 Particle in a Box (4) Now, match y at the right boundary (x = L). At x = L: This constraint requires k to have special values: 1, 2,... n n n k L    2 Using k , we find n L : 2  l l   This is the same condition we found for confined waves, e.g., waves on a string, EM waves in a laser cavity, etc.: For matter waves, the wavelength is related to the particle energy: E = h2/2ml2 Therefore n l (= v/f) 4 L/2 3 2L/3 2 L 1 2L U(x) 0 L   II I I yI yI yII ( ) 1 ( ) ( ) 0 sin I II L L B kL y y   
  • 25. Lecture 10, p 25 The Energy is Quantized Due to Confinement by the Potential U =  U =  0 x L En n=1 n=2 n=3 The discrete En are known as “energy eigenvalues”: n l (= v/f) E 4 L/2 16E1 3 2L/3 9E1 2 L 4E1 1 2L E1 2 2 2 2 2 2 2 1 1 2 n 2L 1.505 2 2 where 8 n n n n n p h eV nm E m m h E E n E mL l l l        electron Important features:  Discrete energy levels.  E1  0  an example of the uncertainty principle  Standing wave (±p for a given E)  n = 0 is not allowed. (why?)
  • 26. Lecture 10, p 26 Next Lectures “Normalizing” the wavefunction General properties of bound-state wavefunctions Finite-depth square well potential (more realistic) Harmonic oscillator

Editor's Notes

  1. http://phys.educ.ksu.edu/vqm/html/doubleslit/
  2. DEMOS: Falstad Pendulum simulation Rope Boom tubes Somewhat useful: http://phys.educ.ksu.edu/vqm/html/doubleslit/
  3. There’s a pendulum animation to demonstrate this.
  4. There’s a pendulum animation to demonstrate this.
  5. There’s a pendulum animation to demonstrate this.
  6. "Erwin wrote to 'an old girlfriend in Vienna' to join him in Arosa.... Efforts to establish the identity of this woman have so far been unsuccessful, since Erwin's personal diary for 1925 has disappeared.... Whoever may have been his inspiration, the increase in Erwin's powers was dramatic." - W. Moore, Schrodinger
  7. Only use clickers on 1 (or not even).
  8. Don’t worry - we won’t be using much differential equations
  9. Rope demo?
  10. Rope demo.
  11. http://www.falstad.com/qm1d/