3
Most read
7
Most read
9
Most read
Presented by-
Md Ahsan Halimi
Scholar No: 19-3-04-105
Dept. of ECE, NIT Silchar
“Introduction of Fermi Dirac Distribution Function”
1
Contents
Some Basic Concept
Fermi-statistics and Bose Statistics
Postulates of Fermi particles
Fermi Dirac Distribution Function
Conclusion
References
2
Some basic concepts
 Fermi level :- Fermi level is the highest energy state occupied by
electrons in a material at absolute zero temperature.
 Fermi energy:-This is the maximum energy that an electron can
have at 0K. i.e. the energy of fastest moving electron at 0K. It is
given by,
𝐸 𝐹 =
1
2
𝑚𝑣 𝐹
2
 Fermi velocity (𝑣 𝐹):- It is the velocity of electron at Fermi level.
 The band theory of solids gives the picture that there is a sizable
gap between the Fermi level and the conduction band of the
semiconductor. At higher temperatures, a larger fraction of the
electrons can bridge this gap and participate in electrical
conduction.
3
Fermi-statistics and Bose Statistics
 The wave function of a system of identical particles must be either
symmetrical (Bose) or antisymmetrical (Fermi) in permutation of a
particle of the particle coordinates (including spin). It means that there
can be only the following two cases:
1. Fermi-Dirac Distribution
2. Bose-Einstein Distribution
 The differences between the two cases are determined by the nature of
particle. Particles which follow Fermi-statistics are called Fermi-
particles (Fermions) and those which follow Bose-statistics are called
Bose- particles (Bosones).
 Electrons, positrons, protons and neutrons are Fermi-particles, whereas
photons are Bosons. Fermion has a spin 1/2 and boson has integral spin.
Let us consider this two types of statistics consequently.
4
Different types of systems considered
 Distinguishable particles >(Fermions when spin is not
considered)
 Indistinguishable particles that obey Pauli exclusion principle
> (Fermions)
 Indistinguishable particles that doesn't obey Pauli exclusion principle
>(Bosons)
5
Postulates of Fermi Particle
 Particles are indistinguishable.
 Particles obey Pauli principle.
 Each quantum state can have only one particle.
 Each particle has one half spin.
 𝒈𝒊 be the quantum states associated with 𝒊 𝒕𝒉
energy
level.
 𝑵𝒊 is the no. of particles associated with 𝒊 𝒕𝒉 energy level.
 For a particular value of N, there is only one
distribution
6
N2 NnN1 ……………….
Fermi -Dirac distribution function
(Derivation)
Consider now the ith energy level with degeneracy gi. For this level,
the total no. of ways of arranging the particles is:
Consider all energy level, the permutation among themselves Now
the Ni particles can have Ni! Permutations
We now apply, the other two assumptions, namely conservation of
particles and energy.
7
)!(
!
)1)......(2)(1(
ii
i
iiiii
Ng
g
Ngggg


 

n
i iii
i
n
NgN
g
NNNNQSo
1
321
)!(!
!
),.......,,(,
constUEN
constNN
i
i
i
i
i




Contd…
 Stirling approximation (x>>1)
 Lagrangian multiplier method for lnQ
 Now we proceed in the standard fashion, by applying Stirling’s
approximation to lnQ, and then using the method of Lagrange
multipliers to maximize Q.
8
0ln
11









 
n
i
ii
j
n
i
i
jj
NE
N
N
N
Q
N

XXXX  ln!ln
𝑔𝑗
𝑁𝑗
= 1 + 𝑒−(𝛼+𝛽𝐸 𝑗)
𝑁𝑗
𝑔𝑗
=
1
1 + 𝑒−(𝛼+𝛽𝐸 𝑗)
Contd…
For i=j,
𝑁𝑖
𝑔𝑖
=
1
1 + 𝑒−(𝛼+𝛽𝐸 𝑖)
=
1
1 + 𝑒(𝐸 𝑖−𝐸 𝐹)/𝑘𝑇
;
𝛼 =
𝐸 𝐹
𝑘𝑇
, 𝛽 = −
1
𝑘𝑇
And because energy level is continuous,
𝑁 𝐸 𝑑𝐸 =
𝑔 𝐸 𝑑𝐸
1 + 𝑒(𝐸−𝐸 𝐹)/𝑘𝑇
 g(E)dEis the number of available states in the energy range E and E+dE
 Number of particles between E and E+dE is given by
N(E)dE=f(E)*g(E)dE
 f(E) is the probability that a state at energy E is occupied by a particle
𝑓 𝐸 =
𝑁 𝐸
𝑔(𝐸)
=
1
1 + 𝑒(𝐸−𝐸 𝐹) 𝑘𝑇
9
Contd…
 Density of states tells us how many states exist at a given energy
E.
 The Fermi function f(E) specifies how many of the existing states
at the energy E will be filled with electrons. Whereas (1- f(E))
gives the probability that energy state E will be occupied by a
hole.
 The function f(E) specifies, under equilibrium conditions, the
probability that an available state at an energy E will be occupied
by an electron. It is a probability distribution function.
10
Contd…
11
12
Fermi-Dirac distribution: Consider T  0 K
For E > EF :
For E < EF :
0
)(exp1
1
)( F 

 EEf
1
)(exp1
1
)( F 

 EEf
E
EF
0 1 f(E)
13
Classical limit
For sufficiently large  we will have (-)/kT>>1, and in this limit
kT/)(
e)f( 
 
 (5.47)
This is just the Boltzmann distribution. The high-energy tail of the Fermi-Dirac
distribution is similar to the Boltzmann distribution. The condition for the
approximate validity of the Boltzmann distribution for all energies  0 is that
1 kT/
e  (5.48)
Fermi -Dirac distribution function:-
14
0 0.05 0.1 0.15 0.2 0.25 0.3 0.35 0.4 0.45 0.5
0
0.2
0.4
0.6
0.8
1
1.2
1.4
1.6
1.8
2
Fermi Dirac Distribution function
Energy (eV)
FermiDiracDistributionfunction
T1=50 K
T2=100 K
T3=300 K
0 0.05 0.1 0.15 0.2 0.25 0.3 0.35 0.4 0.45 0.5
0
0.05
0.1
0.15
0.2
0.25
0.3
0.35
Fermi Dirac Distribution function of particle density with Energy
Energy (eV)
FermiDiracDistributionfunction
T1=50 K
T2=100 K
T3=300 K
References
1. Statistical Physics (2nd Edition), F. Mandl, Manchester
Physics, John Wiley & Sons, 2008,
ISBN 9780471915331.
2. H.J.W. Muller-Kirsten, Basics of Statistical Physics,
2nd ed., World Scientific, ISBN: 978-981-4449-53-3.
15
Thank You
16

More Related Content

PPTX
Conducting polymers
PPTX
Statics presentation ppt(1)
PPTX
Introduction to density functional theory
PPTX
Bose einstein condensation
PPTX
Hall Effect And Application To identification of Semi-conductors
PPTX
Dynamics
PPTX
FREE ELECTRON THEORY.pptx
PPTX
Specific Heat Capacity
Conducting polymers
Statics presentation ppt(1)
Introduction to density functional theory
Bose einstein condensation
Hall Effect And Application To identification of Semi-conductors
Dynamics
FREE ELECTRON THEORY.pptx
Specific Heat Capacity

What's hot (20)

PPTX
Fermi dirac basic part 1
PPTX
THE HARTREE FOCK METHOD
PPTX
Nuclear Shell models
PPT
Microwave Spectroscopy
PPT
Statistical mechanics
DOCX
BCS THEORY NEW
PDF
Direct and in direct band gap-Modern Physics
DOC
Laser, Pumping schemes, types of lasers and applications
PPTX
CLASSICAL THEORY OF RAMAN EFFECT.pptx
PPTX
Black Body Radiation
PDF
Polarization in Dielectrics | Applied Physics - II | Dielectrics
PPTX
Schrödinger wave equation
PPTX
Compton effect
PPTX
Zeeman effect
PPT
Density of States (DOS) in Nanotechnology by Manu Shreshtha
PPTX
Electron Spin Resonance Spectroscopy
PPTX
Perturbation
PPTX
Statistical ensembles-b.subha
PPTX
.Electron diffraction for m.sc, student complete unit
Fermi dirac basic part 1
THE HARTREE FOCK METHOD
Nuclear Shell models
Microwave Spectroscopy
Statistical mechanics
BCS THEORY NEW
Direct and in direct band gap-Modern Physics
Laser, Pumping schemes, types of lasers and applications
CLASSICAL THEORY OF RAMAN EFFECT.pptx
Black Body Radiation
Polarization in Dielectrics | Applied Physics - II | Dielectrics
Schrödinger wave equation
Compton effect
Zeeman effect
Density of States (DOS) in Nanotechnology by Manu Shreshtha
Electron Spin Resonance Spectroscopy
Perturbation
Statistical ensembles-b.subha
.Electron diffraction for m.sc, student complete unit
Ad

Similar to Fermi dirac distribution (20)

PPTX
Semiconductor ch.3 part iii statistical mechanics
PPTX
Particle physics - Standard Model
DOCX
Elementsofstatisticalmechanics
PPT
Density of States and Fermi Energy Concepts.ppt
PPT
504678850-115116307-Density-of-States.ppt
PDF
Free Electron Fermi Gas Lecture3.pdf
PPTX
Materials Science and Engineering 1
PDF
Basics of Band Structure and semiconductors.pdf
PDF
Classical & Quantum Statistics
PPTX
Free electron theory of metals (Classical and quantum).pptx
PDF
M-B, B-E, and F-D comparisons statistical physics
PPTX
Free electron in_metal
PPT
Carrier Statistics mechanical priciple.ppt
PPTX
Physics of Semiconductor Devices.pptx
PPT
Photo Electron Spectroscopy
PPTX
Hartree method ppt physical chemistry
PPT
Electron Structure
PPT
CHAPTER 4 Structure of the Atom
DOCX
Energy bands and electrical properties of metals new
PDF
Final m5 march 2019
Semiconductor ch.3 part iii statistical mechanics
Particle physics - Standard Model
Elementsofstatisticalmechanics
Density of States and Fermi Energy Concepts.ppt
504678850-115116307-Density-of-States.ppt
Free Electron Fermi Gas Lecture3.pdf
Materials Science and Engineering 1
Basics of Band Structure and semiconductors.pdf
Classical & Quantum Statistics
Free electron theory of metals (Classical and quantum).pptx
M-B, B-E, and F-D comparisons statistical physics
Free electron in_metal
Carrier Statistics mechanical priciple.ppt
Physics of Semiconductor Devices.pptx
Photo Electron Spectroscopy
Hartree method ppt physical chemistry
Electron Structure
CHAPTER 4 Structure of the Atom
Energy bands and electrical properties of metals new
Final m5 march 2019
Ad

Recently uploaded (20)

PPTX
Sorting and Hashing in Data Structures with Algorithms, Techniques, Implement...
PDF
Design of Material Handling Equipment Lecture Note
PPTX
AUTOMOTIVE ENGINE MANAGEMENT (MECHATRONICS).pptx
PPTX
Chemical Technological Processes, Feasibility Study and Chemical Process Indu...
PPTX
mechattonicsand iotwith sensor and actuator
PPT
Chapter 1 - Introduction to Manufacturing Technology_2.ppt
PPTX
Information Storage and Retrieval Techniques Unit III
PPTX
CyberSecurity Mobile and Wireless Devices
PPTX
ai_satellite_crop_management_20250815030350.pptx
PDF
First part_B-Image Processing - 1 of 2).pdf
PDF
UEFA_Carbon_Footprint_Calculator_Methology_2.0.pdf
PDF
Prof. Dr. KAYIHURA A. SILAS MUNYANEZA, PhD..pdf
PDF
Influence of Green Infrastructure on Residents’ Endorsement of the New Ecolog...
PDF
Java Basics-Introduction and program control
PPTX
Module 8- Technological and Communication Skills.pptx
PDF
Soil Improvement Techniques Note - Rabbi
PPTX
wireless networks, mobile computing.pptx
PPTX
Management Information system : MIS-e-Business Systems.pptx
PPTX
Chapter 2 -Technology and Enginerring Materials + Composites.pptx
PDF
Applications of Equal_Area_Criterion.pdf
Sorting and Hashing in Data Structures with Algorithms, Techniques, Implement...
Design of Material Handling Equipment Lecture Note
AUTOMOTIVE ENGINE MANAGEMENT (MECHATRONICS).pptx
Chemical Technological Processes, Feasibility Study and Chemical Process Indu...
mechattonicsand iotwith sensor and actuator
Chapter 1 - Introduction to Manufacturing Technology_2.ppt
Information Storage and Retrieval Techniques Unit III
CyberSecurity Mobile and Wireless Devices
ai_satellite_crop_management_20250815030350.pptx
First part_B-Image Processing - 1 of 2).pdf
UEFA_Carbon_Footprint_Calculator_Methology_2.0.pdf
Prof. Dr. KAYIHURA A. SILAS MUNYANEZA, PhD..pdf
Influence of Green Infrastructure on Residents’ Endorsement of the New Ecolog...
Java Basics-Introduction and program control
Module 8- Technological and Communication Skills.pptx
Soil Improvement Techniques Note - Rabbi
wireless networks, mobile computing.pptx
Management Information system : MIS-e-Business Systems.pptx
Chapter 2 -Technology and Enginerring Materials + Composites.pptx
Applications of Equal_Area_Criterion.pdf

Fermi dirac distribution

  • 1. Presented by- Md Ahsan Halimi Scholar No: 19-3-04-105 Dept. of ECE, NIT Silchar “Introduction of Fermi Dirac Distribution Function” 1
  • 2. Contents Some Basic Concept Fermi-statistics and Bose Statistics Postulates of Fermi particles Fermi Dirac Distribution Function Conclusion References 2
  • 3. Some basic concepts  Fermi level :- Fermi level is the highest energy state occupied by electrons in a material at absolute zero temperature.  Fermi energy:-This is the maximum energy that an electron can have at 0K. i.e. the energy of fastest moving electron at 0K. It is given by, 𝐸 𝐹 = 1 2 𝑚𝑣 𝐹 2  Fermi velocity (𝑣 𝐹):- It is the velocity of electron at Fermi level.  The band theory of solids gives the picture that there is a sizable gap between the Fermi level and the conduction band of the semiconductor. At higher temperatures, a larger fraction of the electrons can bridge this gap and participate in electrical conduction. 3
  • 4. Fermi-statistics and Bose Statistics  The wave function of a system of identical particles must be either symmetrical (Bose) or antisymmetrical (Fermi) in permutation of a particle of the particle coordinates (including spin). It means that there can be only the following two cases: 1. Fermi-Dirac Distribution 2. Bose-Einstein Distribution  The differences between the two cases are determined by the nature of particle. Particles which follow Fermi-statistics are called Fermi- particles (Fermions) and those which follow Bose-statistics are called Bose- particles (Bosones).  Electrons, positrons, protons and neutrons are Fermi-particles, whereas photons are Bosons. Fermion has a spin 1/2 and boson has integral spin. Let us consider this two types of statistics consequently. 4
  • 5. Different types of systems considered  Distinguishable particles >(Fermions when spin is not considered)  Indistinguishable particles that obey Pauli exclusion principle > (Fermions)  Indistinguishable particles that doesn't obey Pauli exclusion principle >(Bosons) 5
  • 6. Postulates of Fermi Particle  Particles are indistinguishable.  Particles obey Pauli principle.  Each quantum state can have only one particle.  Each particle has one half spin.  𝒈𝒊 be the quantum states associated with 𝒊 𝒕𝒉 energy level.  𝑵𝒊 is the no. of particles associated with 𝒊 𝒕𝒉 energy level.  For a particular value of N, there is only one distribution 6 N2 NnN1 ……………….
  • 7. Fermi -Dirac distribution function (Derivation) Consider now the ith energy level with degeneracy gi. For this level, the total no. of ways of arranging the particles is: Consider all energy level, the permutation among themselves Now the Ni particles can have Ni! Permutations We now apply, the other two assumptions, namely conservation of particles and energy. 7 )!( ! )1)......(2)(1( ii i iiiii Ng g Ngggg      n i iii i n NgN g NNNNQSo 1 321 )!(! ! ),.......,,(, constUEN constNN i i i i i    
  • 8. Contd…  Stirling approximation (x>>1)  Lagrangian multiplier method for lnQ  Now we proceed in the standard fashion, by applying Stirling’s approximation to lnQ, and then using the method of Lagrange multipliers to maximize Q. 8 0ln 11            n i ii j n i i jj NE N N N Q N  XXXX  ln!ln 𝑔𝑗 𝑁𝑗 = 1 + 𝑒−(𝛼+𝛽𝐸 𝑗) 𝑁𝑗 𝑔𝑗 = 1 1 + 𝑒−(𝛼+𝛽𝐸 𝑗)
  • 9. Contd… For i=j, 𝑁𝑖 𝑔𝑖 = 1 1 + 𝑒−(𝛼+𝛽𝐸 𝑖) = 1 1 + 𝑒(𝐸 𝑖−𝐸 𝐹)/𝑘𝑇 ; 𝛼 = 𝐸 𝐹 𝑘𝑇 , 𝛽 = − 1 𝑘𝑇 And because energy level is continuous, 𝑁 𝐸 𝑑𝐸 = 𝑔 𝐸 𝑑𝐸 1 + 𝑒(𝐸−𝐸 𝐹)/𝑘𝑇  g(E)dEis the number of available states in the energy range E and E+dE  Number of particles between E and E+dE is given by N(E)dE=f(E)*g(E)dE  f(E) is the probability that a state at energy E is occupied by a particle 𝑓 𝐸 = 𝑁 𝐸 𝑔(𝐸) = 1 1 + 𝑒(𝐸−𝐸 𝐹) 𝑘𝑇 9
  • 10. Contd…  Density of states tells us how many states exist at a given energy E.  The Fermi function f(E) specifies how many of the existing states at the energy E will be filled with electrons. Whereas (1- f(E)) gives the probability that energy state E will be occupied by a hole.  The function f(E) specifies, under equilibrium conditions, the probability that an available state at an energy E will be occupied by an electron. It is a probability distribution function. 10
  • 12. 12 Fermi-Dirac distribution: Consider T  0 K For E > EF : For E < EF : 0 )(exp1 1 )( F    EEf 1 )(exp1 1 )( F    EEf E EF 0 1 f(E)
  • 13. 13 Classical limit For sufficiently large  we will have (-)/kT>>1, and in this limit kT/)( e)f(     (5.47) This is just the Boltzmann distribution. The high-energy tail of the Fermi-Dirac distribution is similar to the Boltzmann distribution. The condition for the approximate validity of the Boltzmann distribution for all energies  0 is that 1 kT/ e  (5.48)
  • 14. Fermi -Dirac distribution function:- 14 0 0.05 0.1 0.15 0.2 0.25 0.3 0.35 0.4 0.45 0.5 0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 2 Fermi Dirac Distribution function Energy (eV) FermiDiracDistributionfunction T1=50 K T2=100 K T3=300 K 0 0.05 0.1 0.15 0.2 0.25 0.3 0.35 0.4 0.45 0.5 0 0.05 0.1 0.15 0.2 0.25 0.3 0.35 Fermi Dirac Distribution function of particle density with Energy Energy (eV) FermiDiracDistributionfunction T1=50 K T2=100 K T3=300 K
  • 15. References 1. Statistical Physics (2nd Edition), F. Mandl, Manchester Physics, John Wiley & Sons, 2008, ISBN 9780471915331. 2. H.J.W. Muller-Kirsten, Basics of Statistical Physics, 2nd ed., World Scientific, ISBN: 978-981-4449-53-3. 15