SlideShare une entreprise Scribd logo
1  sur  34
Télécharger pour lire hors ligne
CONCEPTS & PROBLEMS IN QUANTUM MECHANICS-II
By Manmohan Dash
On Left; the electron of the Hydrogen atom
observed for the first time.
According to the wave function formalism
the wave function is an amplitude.
The square of this amplitude is “probability”
per unit of some quantity.
Probability; that the electron would be found
in a given range of that quantity, eg location
probability.
ψ
4
Top
Wave Function ψ (x, t);
A function of (x) does not
give expectation value of
variables like p, in a direct
way.
Where; p: momentum.
There is a need to define
“operators” for such
variables.
Slide59, Part-I
For expectation value of
variables like (p) or their
function f(p);
That is; <p> and <f(p)>,
When wave function ψ = f(x, t).
Define operators for p.
Slide60, Part-I
Equations like Newton’s
Laws, of classical world,
“exist in quanta world”.
These equations relate
expectation values of
variables such as x, p
and V.
Slide61, Part-I
Heisenberg’s Uncertainty Relations;
expectation values of certain
variables not arbitrary with each
other;
e.g. < x > and <p> .
Their uncertainty ∆ and SD or σ
bear “inverse relationship”:
eg
2
~
x
x



p
p h

Slide62, Part-I
Representative problems
We saw that;
<x> is “average location” of the
Quantum, called as expectation
value of the “location of the
quantum”.
<x> is determined from wave
function or amplitude ψ(x, t).



 x|t)(x,|xx 2
d
How to know the expectation value
of momentum of the quantum? Or,
that of variable p.
In “classical world”, a particle has a
momentum p defined by its mass m
and velocity v;
p = m.v, that is, p is product of mass
and velocity.
So we can define velocity < v > ;
x
dt
d
v,x||xx 2
 


d
What is the velocity of the
quantum in a probabilistic
interpretation of wave
function?
In probability distributions; either discrete or
continuous, in part-I, we defined a central
tendency, called; mean or average or expectation
value of a variable such as x; < x >.
What is location x,
in probabilistic
interpretation of
wave function?
By using the “Schrodinger Equation (S)” and its complex
conjugate (S*) to evaluate;
 
 







)()()( **
tt
**
t
2
t
*
SS
2
t 

The probabilistic velocity leads to
the probabilistic momentum;
 x||xx 2
d
dt
d
m
dt
d
mvmp 
Lets take a step in that direction;
x)(x
2
i
xxmx xx
*
x
2
t
*
dd
dt
d
m  








  

Given
Step 1,
Step 2, Integration-By-Parts;
Wave Function properties ;
After two integration by parts;



 x|t)(x,|xx 2
d
x)(x
2m
i
xxx xx
*
x
2
t
*
dd
dt
d
 








  

|x
x
x
x
)(
x
)(
x
)(
x
b
a
b
a
b
a
fggd
d
df
d
d
dg
f
gf
d
d
g
d
d
fgf
d
d



 x,0
xx x
*
 

 d
m
i
dt
d
v 


Given < x >, after “integration by parts” two times; we have < p >;
Compare <x> and <p> ;
Thus <p> = , momentum; <p>, operator;
xx
x|t)(x,|xx
x
*
2








di
dt
d
mvmp
d














x
xi
xxx
*
*
dp
d







xi

xi 




p
A quantum found at C, upon
measurement !
 Where was it located right
before measurement?
 3 philosophies; Realist,
Orthodox, Agnostic
Orthodox view, or Copenhagen Interpretation; it was no where, location
indeterminate prior to measurement, act of measurement brought it.
Wave Function Collapsed at C.
 Most widely accepted, among Physicists, most respectable view.
 Experimentally confirmed, supported by Bell’s arguments.
The above figure is from DJ Griffiths
WAVE
FUNCTION
COLLAPSE
WAVE
FUNCTION
EVOLUTION
From http://www.mysearch.org.uk/
From DJ Griffiths
Agnostic view; we wouldn’t
know, “how many angels
on needle point”?
Rejected by Bell’s arguments.
Lack of experimental
support.
Realist or “hidden variable”
view; It was somewhere:
Present info not sufficient.
Deterministic. Not rejected
by Bell’s arguments, but
lack of experimental
support.
The mass of a quantum is spread out.
Wave Function of Copenhagen
Interpretation allows such distribution.
Does an
expecation value
give an average
value of a set of
measurement on
same particle?
EnsembleVs
One ParticleAverage is not in the sense of mathematics but
physics.
A value obtained on the first instance of measurement
is indeterminate, prior to measurement !
Wave function collapses after a measurement, any
further repetition of measurement, immediately,
would give same value as obtained before.
If its the same particle, it must go back to the state ψ
as it was prior to measurement, for any average to be
calculated, by further measurement.
Or an identically prepared ensemble of particles has
to be taken, all particles in the state ψ.
Problem 1.6
Why can’t you do
integration by parts
directly on middle
expression in
equation 1.29,
pull the time
derivative over onto
x, note that partial
of x wrt t is zero,
and conclude that
time derivative of
expectaion value is
zero.
Why can’t you do
integration by parts
directly on middle
expression in
equation 1.29,
pull the time
derivative over onto
x, note that partial
of x wrt t is zero,
and conclude that
time derivative of
expectaion value is
zero.
So we see that the integration does not
reduce to zero acording to the prescription
in the problem. 1.6 !
p is now an operator, so any general variable is simply
a replacement;
by the operator of p
Eg Q (x, p) has an expectation value given by;
Classically;
In probabilistic representation the operator of Kinetic
Energy T is;
In classical
mechanics all
variables can
be set as a
function of
location x and
momenta p.
In probabilistic
representation
also, these
variables can
be represented
through the x
and p variables.
xi 




p
 

 x)
xi
x,(p)x,( *
dQQ 

vmrLand
22
1 2
2

m
p
vmT
2
22
2
2
*
2
x2m
-
x
x2
-T
T 









d
m

Problem 1.7
Now let us discuss the Ehrenfest Theorem
as we have pointed out earlier. Let us
prove the theorem. Problem 1.7
Problem 1.7, from slide; 21
Problem 1.7, from slide; 21
Suppose you add a constant V0 to the potential energy (constant:
independent of x, t). In classical mechanics this does not chanage
anything. But what happens in Quantum Mechanics?
Show that the wave funcion picks up a time dependent phase factor
given below, what effect does this have on expectation value of
dynamic variables?
)t/iV-(x 0 pe
Problem 1.8
Lets see how to do
Problem 1.8
Remaining part of
Problem 1.8
Heisenberg Uncertainty relation There is a fundamental way
in which a classical wave
shows us that any
precision we have for
location of a point on the
wave comes from the fact
that waves can be
localized packets.
In that case the wavelength
and consequently the
momentum of the wave
become very badly
spread.
When we have a precise wavelength and
momentum (monochromatic wave) its quite
clear we wouldn’t know which location-point
of the wave would give a precise location of the
wave.
All the locus of the wave would suffice and we
would lose any sense of precise location.
Heisenberg Uncertainty relation
Heisenberg Uncertainty relation
This purely classical wave property
thus transpires to the
probabilistic systems that we have
been discussing so far.
We also note that momentum and
wavelength of a Quantum are
related as follows, this is called as
de-Broglie Relation; p = h/λ =
2πћ/λ
Thus in our probabilistic interpretations
the expectation values and
consequently the spread or error or
uncertainties given by standard
deviations of the distributions of
certain variables, bear an inverse
relation with each other.
This is called Heisenberg Uncertainty
Relation which we will discuss in more
rigor later. For now;
2
x

p
Lets discuss last problem of this presentation which
exemplifies some of the ideas we have discussed so far
including Heisenberg’s inequality of last slide.
Part (a)
Part (b)
Part (c)
Part (c)
Part (d)
So far we have discussed 9 problems in the last two
presentations and discussed in depth the ideas of
Quantum; such as Schrodinger Equation, Philosophy of
Quantum reality and Statistical interpretation,
Probability Distribution, Basic Operators, Uncertainty
Principle.
In the next lecture, we will discuss further problems that
will put us in a sound situation as regards a basic footing
in an introductory non relativistic quantum mechanics.
If you enjoyed the last two presentation styled lectures,
leave me any note, feedback, errors to
g6pontiac@gmail.com , feel free to share this among
students and teachers ,you know who could benefit from
this. Also you can visit my website ; mdashf.org !!

Contenu connexe

Tendances

Classical mechanics vs quantum mechanics
Classical mechanics vs quantum mechanicsClassical mechanics vs quantum mechanics
Classical mechanics vs quantum mechanicsZahid Mehmood
 
The wave-particle duality and the double slit experiment
The wave-particle duality and the double slit experimentThe wave-particle duality and the double slit experiment
The wave-particle duality and the double slit experimentSatyavan65
 
Maxwell equation
Maxwell equationMaxwell equation
Maxwell equationKumar
 
History of Quantum Mechanics
History of Quantum MechanicsHistory of Quantum Mechanics
History of Quantum MechanicsChad Orzel
 
heisenberg uncertainty principle
heisenberg uncertainty principleheisenberg uncertainty principle
heisenberg uncertainty principleMasood Karim
 
Michelson morley experiment
Michelson morley experimentMichelson morley experiment
Michelson morley experimentAbhisheksinha333
 
Maxwells equation and Electromagnetic Waves
Maxwells equation and Electromagnetic WavesMaxwells equation and Electromagnetic Waves
Maxwells equation and Electromagnetic WavesA K Mishra
 
Fundamentals of modern physics, the de-Broglie hypothesis
Fundamentals of modern physics, the de-Broglie hypothesisFundamentals of modern physics, the de-Broglie hypothesis
Fundamentals of modern physics, the de-Broglie hypothesisPraveen Vaidya
 
Basic and fundamental of quantum mechanics (Theory)
Basic and fundamental of quantum mechanics (Theory)Basic and fundamental of quantum mechanics (Theory)
Basic and fundamental of quantum mechanics (Theory)Halavath Ramesh
 
Time Independent Perturbation Theory, 1st order correction, 2nd order correction
Time Independent Perturbation Theory, 1st order correction, 2nd order correctionTime Independent Perturbation Theory, 1st order correction, 2nd order correction
Time Independent Perturbation Theory, 1st order correction, 2nd order correctionJames Salveo Olarve
 
nuclear shell model.pptx
nuclear shell model.pptxnuclear shell model.pptx
nuclear shell model.pptxHassan Yousaf
 
Plasma physics by Dr. imran aziz
Plasma physics by Dr. imran azizPlasma physics by Dr. imran aziz
Plasma physics by Dr. imran azizDr.imran aziz
 

Tendances (20)

Neutrino
NeutrinoNeutrino
Neutrino
 
Classical mechanics vs quantum mechanics
Classical mechanics vs quantum mechanicsClassical mechanics vs quantum mechanics
Classical mechanics vs quantum mechanics
 
The wave-particle duality and the double slit experiment
The wave-particle duality and the double slit experimentThe wave-particle duality and the double slit experiment
The wave-particle duality and the double slit experiment
 
Angularmomentum
AngularmomentumAngularmomentum
Angularmomentum
 
Wave particle duality
Wave particle dualityWave particle duality
Wave particle duality
 
Classical Mechanics-MSc
Classical Mechanics-MScClassical Mechanics-MSc
Classical Mechanics-MSc
 
Maxwell equation
Maxwell equationMaxwell equation
Maxwell equation
 
Magnetism
MagnetismMagnetism
Magnetism
 
Part III - Quantum Mechanics
Part III - Quantum MechanicsPart III - Quantum Mechanics
Part III - Quantum Mechanics
 
History of Quantum Mechanics
History of Quantum MechanicsHistory of Quantum Mechanics
History of Quantum Mechanics
 
heisenberg uncertainty principle
heisenberg uncertainty principleheisenberg uncertainty principle
heisenberg uncertainty principle
 
Michelson morley experiment
Michelson morley experimentMichelson morley experiment
Michelson morley experiment
 
Maxwells equation and Electromagnetic Waves
Maxwells equation and Electromagnetic WavesMaxwells equation and Electromagnetic Waves
Maxwells equation and Electromagnetic Waves
 
Fundamentals of modern physics, the de-Broglie hypothesis
Fundamentals of modern physics, the de-Broglie hypothesisFundamentals of modern physics, the de-Broglie hypothesis
Fundamentals of modern physics, the de-Broglie hypothesis
 
Basic and fundamental of quantum mechanics (Theory)
Basic and fundamental of quantum mechanics (Theory)Basic and fundamental of quantum mechanics (Theory)
Basic and fundamental of quantum mechanics (Theory)
 
Time Independent Perturbation Theory, 1st order correction, 2nd order correction
Time Independent Perturbation Theory, 1st order correction, 2nd order correctionTime Independent Perturbation Theory, 1st order correction, 2nd order correction
Time Independent Perturbation Theory, 1st order correction, 2nd order correction
 
CHAPTER 6 Quantum Mechanics II
CHAPTER 6 Quantum Mechanics IICHAPTER 6 Quantum Mechanics II
CHAPTER 6 Quantum Mechanics II
 
Hydrogen atom
Hydrogen atomHydrogen atom
Hydrogen atom
 
nuclear shell model.pptx
nuclear shell model.pptxnuclear shell model.pptx
nuclear shell model.pptx
 
Plasma physics by Dr. imran aziz
Plasma physics by Dr. imran azizPlasma physics by Dr. imran aziz
Plasma physics by Dr. imran aziz
 

En vedette

[Electricity and Magnetism] Electrodynamics
[Electricity and Magnetism] Electrodynamics[Electricity and Magnetism] Electrodynamics
[Electricity and Magnetism] ElectrodynamicsManmohan Dash
 
Uncertainty Principle and Photography. see mdashf.org/2015/06/08/
Uncertainty Principle and Photography. see mdashf.org/2015/06/08/Uncertainty Principle and Photography. see mdashf.org/2015/06/08/
Uncertainty Principle and Photography. see mdashf.org/2015/06/08/Manmohan Dash
 
Electromagnetic Waves !
Electromagnetic Waves !Electromagnetic Waves !
Electromagnetic Waves !Manmohan Dash
 
Why prices and stocks get inflated?
Why prices and stocks get inflated?Why prices and stocks get inflated?
Why prices and stocks get inflated?Manmohan Dash
 
Concepts and problems in Quantum Mechanics. Lecture-I
Concepts and problems in Quantum Mechanics. Lecture-IConcepts and problems in Quantum Mechanics. Lecture-I
Concepts and problems in Quantum Mechanics. Lecture-IManmohan Dash
 
My PhD Thesis as I presented in my Preliminary Exam.
My PhD Thesis as I presented in my Preliminary Exam. My PhD Thesis as I presented in my Preliminary Exam.
My PhD Thesis as I presented in my Preliminary Exam. Manmohan Dash
 
Heisenberg's Uncertainty Principle !
Heisenberg's Uncertainty Principle !Heisenberg's Uncertainty Principle !
Heisenberg's Uncertainty Principle !Manmohan Dash
 
Recruiting Lessons from BrightCarbon
Recruiting Lessons from BrightCarbonRecruiting Lessons from BrightCarbon
Recruiting Lessons from BrightCarbonBrightCarbon
 
Being at the fore front of scientfic research !
Being at the fore front of scientfic research !Being at the fore front of scientfic research !
Being at the fore front of scientfic research !Manmohan Dash
 
De Alembert’s Principle and Generalized Force, a technical discourse on Class...
De Alembert’s Principle and Generalized Force, a technical discourse on Class...De Alembert’s Principle and Generalized Force, a technical discourse on Class...
De Alembert’s Principle and Generalized Force, a technical discourse on Class...Manmohan Dash
 
10 Major Mistakes in Physics !
10 Major Mistakes in Physics !10 Major Mistakes in Physics !
10 Major Mistakes in Physics !Manmohan Dash
 
7 Digital Photography Concepts You Have To know
7 Digital Photography Concepts You Have To know7 Digital Photography Concepts You Have To know
7 Digital Photography Concepts You Have To knowYang Ao Wei 楊翱維
 

En vedette (14)

[Electricity and Magnetism] Electrodynamics
[Electricity and Magnetism] Electrodynamics[Electricity and Magnetism] Electrodynamics
[Electricity and Magnetism] Electrodynamics
 
Uncertainty Principle and Photography. see mdashf.org/2015/06/08/
Uncertainty Principle and Photography. see mdashf.org/2015/06/08/Uncertainty Principle and Photography. see mdashf.org/2015/06/08/
Uncertainty Principle and Photography. see mdashf.org/2015/06/08/
 
Vector Calculus.
Vector Calculus.Vector Calculus.
Vector Calculus.
 
Electromagnetic Waves !
Electromagnetic Waves !Electromagnetic Waves !
Electromagnetic Waves !
 
Why prices and stocks get inflated?
Why prices and stocks get inflated?Why prices and stocks get inflated?
Why prices and stocks get inflated?
 
Concepts and problems in Quantum Mechanics. Lecture-I
Concepts and problems in Quantum Mechanics. Lecture-IConcepts and problems in Quantum Mechanics. Lecture-I
Concepts and problems in Quantum Mechanics. Lecture-I
 
My PhD Thesis as I presented in my Preliminary Exam.
My PhD Thesis as I presented in my Preliminary Exam. My PhD Thesis as I presented in my Preliminary Exam.
My PhD Thesis as I presented in my Preliminary Exam.
 
Heisenberg's Uncertainty Principle !
Heisenberg's Uncertainty Principle !Heisenberg's Uncertainty Principle !
Heisenberg's Uncertainty Principle !
 
Recruiting Lessons from BrightCarbon
Recruiting Lessons from BrightCarbonRecruiting Lessons from BrightCarbon
Recruiting Lessons from BrightCarbon
 
Cross Section
Cross SectionCross Section
Cross Section
 
Being at the fore front of scientfic research !
Being at the fore front of scientfic research !Being at the fore front of scientfic research !
Being at the fore front of scientfic research !
 
De Alembert’s Principle and Generalized Force, a technical discourse on Class...
De Alembert’s Principle and Generalized Force, a technical discourse on Class...De Alembert’s Principle and Generalized Force, a technical discourse on Class...
De Alembert’s Principle and Generalized Force, a technical discourse on Class...
 
10 Major Mistakes in Physics !
10 Major Mistakes in Physics !10 Major Mistakes in Physics !
10 Major Mistakes in Physics !
 
7 Digital Photography Concepts You Have To know
7 Digital Photography Concepts You Have To know7 Digital Photography Concepts You Have To know
7 Digital Photography Concepts You Have To know
 

Similaire à Concepts and Problems in Quantum Mechanics, Lecture-II By Manmohan Dash

Quantum physics the bottom up approach
Quantum physics the bottom up approachQuantum physics the bottom up approach
Quantum physics the bottom up approachSpringer
 
Schrodinger equation and its applications: Chapter 2
Schrodinger equation and its applications: Chapter 2Schrodinger equation and its applications: Chapter 2
Schrodinger equation and its applications: Chapter 2Dr.Pankaj Khirade
 
Ph 101-9 QUANTUM MACHANICS
Ph 101-9 QUANTUM MACHANICSPh 101-9 QUANTUM MACHANICS
Ph 101-9 QUANTUM MACHANICSChandan Singh
 
Lecture_2_PHL110_QM.ppt wave function. operators,
Lecture_2_PHL110_QM.ppt wave function. operators,Lecture_2_PHL110_QM.ppt wave function. operators,
Lecture_2_PHL110_QM.ppt wave function. operators,Francisanand9
 
Special theory of relativity
Special theory of relativitySpecial theory of relativity
Special theory of relativitydjramrock
 
International Refereed Journal of Engineering and Science (IRJES)
International Refereed Journal of Engineering and Science (IRJES)International Refereed Journal of Engineering and Science (IRJES)
International Refereed Journal of Engineering and Science (IRJES)irjes
 
Schrodinger wave equation.pptx
Schrodinger wave equation.pptxSchrodinger wave equation.pptx
Schrodinger wave equation.pptxSameen Fatima
 
Unit 1 Quantum Mechanics_230924_162445.pdf
Unit 1 Quantum Mechanics_230924_162445.pdfUnit 1 Quantum Mechanics_230924_162445.pdf
Unit 1 Quantum Mechanics_230924_162445.pdfSwapnil947063
 
Quantum Mechanics II.ppt
Quantum Mechanics II.pptQuantum Mechanics II.ppt
Quantum Mechanics II.pptSKMishra47
 
What are free particles in quantum mechanics
What are free particles in quantum mechanicsWhat are free particles in quantum mechanics
What are free particles in quantum mechanicsbhaskar chatterjee
 

Similaire à Concepts and Problems in Quantum Mechanics, Lecture-II By Manmohan Dash (20)

Q.M.pptx
Q.M.pptxQ.M.pptx
Q.M.pptx
 
Quantum physics the bottom up approach
Quantum physics the bottom up approachQuantum physics the bottom up approach
Quantum physics the bottom up approach
 
Schrodinger eqn
Schrodinger eqnSchrodinger eqn
Schrodinger eqn
 
Schrodinger equation and its applications: Chapter 2
Schrodinger equation and its applications: Chapter 2Schrodinger equation and its applications: Chapter 2
Schrodinger equation and its applications: Chapter 2
 
Quantum mechanics
Quantum mechanicsQuantum mechanics
Quantum mechanics
 
Ph 101-9 QUANTUM MACHANICS
Ph 101-9 QUANTUM MACHANICSPh 101-9 QUANTUM MACHANICS
Ph 101-9 QUANTUM MACHANICS
 
Instantons in 1D QM
Instantons in 1D QMInstantons in 1D QM
Instantons in 1D QM
 
Lecture_2_PHL110_QM.ppt wave function. operators,
Lecture_2_PHL110_QM.ppt wave function. operators,Lecture_2_PHL110_QM.ppt wave function. operators,
Lecture_2_PHL110_QM.ppt wave function. operators,
 
Uncertainty quantification
Uncertainty quantificationUncertainty quantification
Uncertainty quantification
 
Special theory of relativity
Special theory of relativitySpecial theory of relativity
Special theory of relativity
 
International Refereed Journal of Engineering and Science (IRJES)
International Refereed Journal of Engineering and Science (IRJES)International Refereed Journal of Engineering and Science (IRJES)
International Refereed Journal of Engineering and Science (IRJES)
 
Engwavefunction
EngwavefunctionEngwavefunction
Engwavefunction
 
Wave function
Wave functionWave function
Wave function
 
Random vibrations
Random vibrationsRandom vibrations
Random vibrations
 
Schrodinger wave equation.pptx
Schrodinger wave equation.pptxSchrodinger wave equation.pptx
Schrodinger wave equation.pptx
 
Unit 1 Quantum Mechanics_230924_162445.pdf
Unit 1 Quantum Mechanics_230924_162445.pdfUnit 1 Quantum Mechanics_230924_162445.pdf
Unit 1 Quantum Mechanics_230924_162445.pdf
 
Quantum
QuantumQuantum
Quantum
 
Quantum Mechanics II.ppt
Quantum Mechanics II.pptQuantum Mechanics II.ppt
Quantum Mechanics II.ppt
 
TR-6.ppt
TR-6.pptTR-6.ppt
TR-6.ppt
 
What are free particles in quantum mechanics
What are free particles in quantum mechanicsWhat are free particles in quantum mechanics
What are free particles in quantum mechanics
 

Dernier

psychiatric nursing HISTORY COLLECTION .docx
psychiatric  nursing HISTORY  COLLECTION  .docxpsychiatric  nursing HISTORY  COLLECTION  .docx
psychiatric nursing HISTORY COLLECTION .docxPoojaSen20
 
Micro-Scholarship, What it is, How can it help me.pdf
Micro-Scholarship, What it is, How can it help me.pdfMicro-Scholarship, What it is, How can it help me.pdf
Micro-Scholarship, What it is, How can it help me.pdfPoh-Sun Goh
 
Third Battle of Panipat detailed notes.pptx
Third Battle of Panipat detailed notes.pptxThird Battle of Panipat detailed notes.pptx
Third Battle of Panipat detailed notes.pptxAmita Gupta
 
ICT role in 21st century education and it's challenges.
ICT role in 21st century education and it's challenges.ICT role in 21st century education and it's challenges.
ICT role in 21st century education and it's challenges.MaryamAhmad92
 
2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx
2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx
2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptxMaritesTamaniVerdade
 
Basic Civil Engineering first year Notes- Chapter 4 Building.pptx
Basic Civil Engineering first year Notes- Chapter 4 Building.pptxBasic Civil Engineering first year Notes- Chapter 4 Building.pptx
Basic Civil Engineering first year Notes- Chapter 4 Building.pptxDenish Jangid
 
How to Create and Manage Wizard in Odoo 17
How to Create and Manage Wizard in Odoo 17How to Create and Manage Wizard in Odoo 17
How to Create and Manage Wizard in Odoo 17Celine George
 
General Principles of Intellectual Property: Concepts of Intellectual Proper...
General Principles of Intellectual Property: Concepts of Intellectual  Proper...General Principles of Intellectual Property: Concepts of Intellectual  Proper...
General Principles of Intellectual Property: Concepts of Intellectual Proper...Poonam Aher Patil
 
microwave assisted reaction. General introduction
microwave assisted reaction. General introductionmicrowave assisted reaction. General introduction
microwave assisted reaction. General introductionMaksud Ahmed
 
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdfUGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdfNirmal Dwivedi
 
How to Give a Domain for a Field in Odoo 17
How to Give a Domain for a Field in Odoo 17How to Give a Domain for a Field in Odoo 17
How to Give a Domain for a Field in Odoo 17Celine George
 
SOC 101 Demonstration of Learning Presentation
SOC 101 Demonstration of Learning PresentationSOC 101 Demonstration of Learning Presentation
SOC 101 Demonstration of Learning Presentationcamerronhm
 
SKILL OF INTRODUCING THE LESSON MICRO SKILLS.pptx
SKILL OF INTRODUCING THE LESSON MICRO SKILLS.pptxSKILL OF INTRODUCING THE LESSON MICRO SKILLS.pptx
SKILL OF INTRODUCING THE LESSON MICRO SKILLS.pptxAmanpreet Kaur
 
ICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptxICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptxAreebaZafar22
 
The basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptxThe basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptxheathfieldcps1
 
Mixin Classes in Odoo 17 How to Extend Models Using Mixin Classes
Mixin Classes in Odoo 17  How to Extend Models Using Mixin ClassesMixin Classes in Odoo 17  How to Extend Models Using Mixin Classes
Mixin Classes in Odoo 17 How to Extend Models Using Mixin ClassesCeline George
 
Making communications land - Are they received and understood as intended? we...
Making communications land - Are they received and understood as intended? we...Making communications land - Are they received and understood as intended? we...
Making communications land - Are they received and understood as intended? we...Association for Project Management
 
Food safety_Challenges food safety laboratories_.pdf
Food safety_Challenges food safety laboratories_.pdfFood safety_Challenges food safety laboratories_.pdf
Food safety_Challenges food safety laboratories_.pdfSherif Taha
 

Dernier (20)

Mehran University Newsletter Vol-X, Issue-I, 2024
Mehran University Newsletter Vol-X, Issue-I, 2024Mehran University Newsletter Vol-X, Issue-I, 2024
Mehran University Newsletter Vol-X, Issue-I, 2024
 
psychiatric nursing HISTORY COLLECTION .docx
psychiatric  nursing HISTORY  COLLECTION  .docxpsychiatric  nursing HISTORY  COLLECTION  .docx
psychiatric nursing HISTORY COLLECTION .docx
 
Micro-Scholarship, What it is, How can it help me.pdf
Micro-Scholarship, What it is, How can it help me.pdfMicro-Scholarship, What it is, How can it help me.pdf
Micro-Scholarship, What it is, How can it help me.pdf
 
Third Battle of Panipat detailed notes.pptx
Third Battle of Panipat detailed notes.pptxThird Battle of Panipat detailed notes.pptx
Third Battle of Panipat detailed notes.pptx
 
ICT role in 21st century education and it's challenges.
ICT role in 21st century education and it's challenges.ICT role in 21st century education and it's challenges.
ICT role in 21st century education and it's challenges.
 
2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx
2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx
2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx
 
Basic Civil Engineering first year Notes- Chapter 4 Building.pptx
Basic Civil Engineering first year Notes- Chapter 4 Building.pptxBasic Civil Engineering first year Notes- Chapter 4 Building.pptx
Basic Civil Engineering first year Notes- Chapter 4 Building.pptx
 
How to Create and Manage Wizard in Odoo 17
How to Create and Manage Wizard in Odoo 17How to Create and Manage Wizard in Odoo 17
How to Create and Manage Wizard in Odoo 17
 
Spatium Project Simulation student brief
Spatium Project Simulation student briefSpatium Project Simulation student brief
Spatium Project Simulation student brief
 
General Principles of Intellectual Property: Concepts of Intellectual Proper...
General Principles of Intellectual Property: Concepts of Intellectual  Proper...General Principles of Intellectual Property: Concepts of Intellectual  Proper...
General Principles of Intellectual Property: Concepts of Intellectual Proper...
 
microwave assisted reaction. General introduction
microwave assisted reaction. General introductionmicrowave assisted reaction. General introduction
microwave assisted reaction. General introduction
 
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdfUGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
 
How to Give a Domain for a Field in Odoo 17
How to Give a Domain for a Field in Odoo 17How to Give a Domain for a Field in Odoo 17
How to Give a Domain for a Field in Odoo 17
 
SOC 101 Demonstration of Learning Presentation
SOC 101 Demonstration of Learning PresentationSOC 101 Demonstration of Learning Presentation
SOC 101 Demonstration of Learning Presentation
 
SKILL OF INTRODUCING THE LESSON MICRO SKILLS.pptx
SKILL OF INTRODUCING THE LESSON MICRO SKILLS.pptxSKILL OF INTRODUCING THE LESSON MICRO SKILLS.pptx
SKILL OF INTRODUCING THE LESSON MICRO SKILLS.pptx
 
ICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptxICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptx
 
The basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptxThe basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptx
 
Mixin Classes in Odoo 17 How to Extend Models Using Mixin Classes
Mixin Classes in Odoo 17  How to Extend Models Using Mixin ClassesMixin Classes in Odoo 17  How to Extend Models Using Mixin Classes
Mixin Classes in Odoo 17 How to Extend Models Using Mixin Classes
 
Making communications land - Are they received and understood as intended? we...
Making communications land - Are they received and understood as intended? we...Making communications land - Are they received and understood as intended? we...
Making communications land - Are they received and understood as intended? we...
 
Food safety_Challenges food safety laboratories_.pdf
Food safety_Challenges food safety laboratories_.pdfFood safety_Challenges food safety laboratories_.pdf
Food safety_Challenges food safety laboratories_.pdf
 

Concepts and Problems in Quantum Mechanics, Lecture-II By Manmohan Dash

  • 1. CONCEPTS & PROBLEMS IN QUANTUM MECHANICS-II By Manmohan Dash
  • 2. On Left; the electron of the Hydrogen atom observed for the first time. According to the wave function formalism the wave function is an amplitude. The square of this amplitude is “probability” per unit of some quantity. Probability; that the electron would be found in a given range of that quantity, eg location probability. ψ
  • 4. Wave Function ψ (x, t); A function of (x) does not give expectation value of variables like p, in a direct way. Where; p: momentum. There is a need to define “operators” for such variables. Slide59, Part-I
  • 5. For expectation value of variables like (p) or their function f(p); That is; <p> and <f(p)>, When wave function ψ = f(x, t). Define operators for p. Slide60, Part-I
  • 6. Equations like Newton’s Laws, of classical world, “exist in quanta world”. These equations relate expectation values of variables such as x, p and V. Slide61, Part-I
  • 7. Heisenberg’s Uncertainty Relations; expectation values of certain variables not arbitrary with each other; e.g. < x > and <p> . Their uncertainty ∆ and SD or σ bear “inverse relationship”: eg 2 ~ x x    p p h  Slide62, Part-I
  • 9. We saw that; <x> is “average location” of the Quantum, called as expectation value of the “location of the quantum”. <x> is determined from wave function or amplitude ψ(x, t).     x|t)(x,|xx 2 d How to know the expectation value of momentum of the quantum? Or, that of variable p. In “classical world”, a particle has a momentum p defined by its mass m and velocity v; p = m.v, that is, p is product of mass and velocity.
  • 10. So we can define velocity < v > ; x dt d v,x||xx 2     d What is the velocity of the quantum in a probabilistic interpretation of wave function? In probability distributions; either discrete or continuous, in part-I, we defined a central tendency, called; mean or average or expectation value of a variable such as x; < x >. What is location x, in probabilistic interpretation of wave function?
  • 11. By using the “Schrodinger Equation (S)” and its complex conjugate (S*) to evaluate;            )()()( ** tt ** t 2 t * SS 2 t   The probabilistic velocity leads to the probabilistic momentum;  x||xx 2 d dt d m dt d mvmp  Lets take a step in that direction; x)(x 2 i xxmx xx * x 2 t * dd dt d m              
  • 12. Given Step 1, Step 2, Integration-By-Parts; Wave Function properties ; After two integration by parts;     x|t)(x,|xx 2 d x)(x 2m i xxx xx * x 2 t * dd dt d               |x x x x )( x )( x )( x b a b a b a fggd d df d d dg f gf d d g d d fgf d d     x,0 xx x *     d m i dt d v   
  • 13. Given < x >, after “integration by parts” two times; we have < p >; Compare <x> and <p> ; Thus <p> = , momentum; <p>, operator; xx x|t)(x,|xx x * 2         di dt d mvmp d               x xi xxx * * dp d        xi  xi      p
  • 14. A quantum found at C, upon measurement !  Where was it located right before measurement?  3 philosophies; Realist, Orthodox, Agnostic Orthodox view, or Copenhagen Interpretation; it was no where, location indeterminate prior to measurement, act of measurement brought it. Wave Function Collapsed at C.  Most widely accepted, among Physicists, most respectable view.  Experimentally confirmed, supported by Bell’s arguments. The above figure is from DJ Griffiths
  • 16. Agnostic view; we wouldn’t know, “how many angels on needle point”? Rejected by Bell’s arguments. Lack of experimental support. Realist or “hidden variable” view; It was somewhere: Present info not sufficient. Deterministic. Not rejected by Bell’s arguments, but lack of experimental support. The mass of a quantum is spread out. Wave Function of Copenhagen Interpretation allows such distribution.
  • 17. Does an expecation value give an average value of a set of measurement on same particle? EnsembleVs One ParticleAverage is not in the sense of mathematics but physics. A value obtained on the first instance of measurement is indeterminate, prior to measurement ! Wave function collapses after a measurement, any further repetition of measurement, immediately, would give same value as obtained before. If its the same particle, it must go back to the state ψ as it was prior to measurement, for any average to be calculated, by further measurement. Or an identically prepared ensemble of particles has to be taken, all particles in the state ψ.
  • 18. Problem 1.6 Why can’t you do integration by parts directly on middle expression in equation 1.29, pull the time derivative over onto x, note that partial of x wrt t is zero, and conclude that time derivative of expectaion value is zero.
  • 19. Why can’t you do integration by parts directly on middle expression in equation 1.29, pull the time derivative over onto x, note that partial of x wrt t is zero, and conclude that time derivative of expectaion value is zero. So we see that the integration does not reduce to zero acording to the prescription in the problem. 1.6 !
  • 20. p is now an operator, so any general variable is simply a replacement; by the operator of p Eg Q (x, p) has an expectation value given by; Classically; In probabilistic representation the operator of Kinetic Energy T is; In classical mechanics all variables can be set as a function of location x and momenta p. In probabilistic representation also, these variables can be represented through the x and p variables. xi      p     x) xi x,(p)x,( * dQQ   vmrLand 22 1 2 2  m p vmT 2 22 2 2 * 2 x2m - x x2 -T T           d m 
  • 21. Problem 1.7 Now let us discuss the Ehrenfest Theorem as we have pointed out earlier. Let us prove the theorem. Problem 1.7
  • 22. Problem 1.7, from slide; 21
  • 23. Problem 1.7, from slide; 21
  • 24. Suppose you add a constant V0 to the potential energy (constant: independent of x, t). In classical mechanics this does not chanage anything. But what happens in Quantum Mechanics? Show that the wave funcion picks up a time dependent phase factor given below, what effect does this have on expectation value of dynamic variables? )t/iV-(x 0 pe Problem 1.8
  • 25. Lets see how to do Problem 1.8
  • 27. Heisenberg Uncertainty relation There is a fundamental way in which a classical wave shows us that any precision we have for location of a point on the wave comes from the fact that waves can be localized packets. In that case the wavelength and consequently the momentum of the wave become very badly spread. When we have a precise wavelength and momentum (monochromatic wave) its quite clear we wouldn’t know which location-point of the wave would give a precise location of the wave. All the locus of the wave would suffice and we would lose any sense of precise location. Heisenberg Uncertainty relation
  • 28. Heisenberg Uncertainty relation This purely classical wave property thus transpires to the probabilistic systems that we have been discussing so far. We also note that momentum and wavelength of a Quantum are related as follows, this is called as de-Broglie Relation; p = h/λ = 2πћ/λ Thus in our probabilistic interpretations the expectation values and consequently the spread or error or uncertainties given by standard deviations of the distributions of certain variables, bear an inverse relation with each other. This is called Heisenberg Uncertainty Relation which we will discuss in more rigor later. For now; 2 x  p
  • 29. Lets discuss last problem of this presentation which exemplifies some of the ideas we have discussed so far including Heisenberg’s inequality of last slide.
  • 34. So far we have discussed 9 problems in the last two presentations and discussed in depth the ideas of Quantum; such as Schrodinger Equation, Philosophy of Quantum reality and Statistical interpretation, Probability Distribution, Basic Operators, Uncertainty Principle. In the next lecture, we will discuss further problems that will put us in a sound situation as regards a basic footing in an introductory non relativistic quantum mechanics. If you enjoyed the last two presentation styled lectures, leave me any note, feedback, errors to g6pontiac@gmail.com , feel free to share this among students and teachers ,you know who could benefit from this. Also you can visit my website ; mdashf.org !!