In this note, we derive (to third order in derivatives of the fluid velocity) a 2+1
dimensional theory of fluid dynamics that governs the evolution of generic long-
wavelength perturbations of a black brane or large black hole in four-dimensional
gravity with negative cosmological constant, applying a systematic procedure de-
veloped recently by Bhattacharyya, Hubeny, Minwalla, and Rangamani. In the
regime of validity of the fluid-dynamical description, the black-brane evolution
will generically correspond to a turbulent flow. Turbulence in 2+1 dimensions
has been well studied analytically, numerically, experimentally, and observation-
ally as it provides a first approximation to the large scale dynamics of planetary
atmospheres. These studies reveal dramatic differences between fluid flows in
2+1 and 3+1 dimensions, suggesting that the dynamics of perturbed four and
five dimensional large AdS black holes may be qualitatively different. However,
further investigation is required to understand whether these qualitative differ-
ences exist in the regime of fluid dynamics relevant to black hole dynamics.
In this note, we derive (to third order in derivatives of the fluid velocity) a 2+1
dimensional theory of fluid dynamics that governs the evolution of generic long-
wavelength perturbations of a black brane or large black hole in four-dimensional
gravity with negative cosmological constant, applying a systematic procedure de-
veloped recently by Bhattacharyya, Hubeny, Minwalla, and Rangamani. In the
regime of validity of the fluid-dynamical description, the black-brane evolution
will generically correspond to a turbulent flow. Turbulence in 2+1 dimensions
has been well studied analytically, numerically, experimentally, and observation-
ally as it provides a first approximation to the large scale dynamics of planetary
atmospheres. These studies reveal dramatic differences between fluid flows in
2+1 and 3+1 dimensions, suggesting that the dynamics of perturbed four and
five dimensional large AdS black holes may be qualitatively different. However,
further investigation is required to understand whether these qualitative differ-
ences exist in the regime of fluid dynamics relevant to black hole dynamics.
Methods to determine pressure drop in an evaporator or a condenserTony Yen
This articles aims to explain how one can relatively easily calculate the pressure drop within a condenser or an evaporator, where two-phase flow occurs and the Navier-Stokes equation becomes very tedious.
Second application of dimensional analysis
If you liked it don't forget to follow me-
Instagram-yadavgaurav251
Facebook-www.facebook.com/yadavgaurav251
First-order cosmological perturbations produced by point-like masses: all sca...Maxim Eingorn
This presentation based on the paper http://arxiv.org/abs/1509.03835 was made at Institute of Cosmology, Tufts University, on November 12, 2015. The abstract follows:
In the framework of the concordance cosmological model the first-order scalar and vector perturbations of the homogeneous background are derived without any supplementary approximations in addition to the weak gravitational field limit. The sources of these perturbations (inhomogeneities) are presented in the discrete form of a system of separate point-like gravitating masses. The obtained expressions for the metric corrections are valid at all (sub-horizon and super-horizon) scales and converge in all points except the locations of the sources, and their average values are zero (thus, first-order backreaction effects are absent). Both the Minkowski background limit and the Newtonian cosmological approximation are reached under certain well-defined conditions. An important feature of the velocity-independent part of the scalar perturbation is revealed: up to an additive constant it represents a sum of Yukawa potentials produced by inhomogeneities with the same finite time-dependent Yukawa interaction range. The suggesting itself connection between this range and the homogeneity scale is briefly discussed along with other possible physical implications.
Methods to determine pressure drop in an evaporator or a condenserTony Yen
This articles aims to explain how one can relatively easily calculate the pressure drop within a condenser or an evaporator, where two-phase flow occurs and the Navier-Stokes equation becomes very tedious.
Second application of dimensional analysis
If you liked it don't forget to follow me-
Instagram-yadavgaurav251
Facebook-www.facebook.com/yadavgaurav251
First-order cosmological perturbations produced by point-like masses: all sca...Maxim Eingorn
This presentation based on the paper http://arxiv.org/abs/1509.03835 was made at Institute of Cosmology, Tufts University, on November 12, 2015. The abstract follows:
In the framework of the concordance cosmological model the first-order scalar and vector perturbations of the homogeneous background are derived without any supplementary approximations in addition to the weak gravitational field limit. The sources of these perturbations (inhomogeneities) are presented in the discrete form of a system of separate point-like gravitating masses. The obtained expressions for the metric corrections are valid at all (sub-horizon and super-horizon) scales and converge in all points except the locations of the sources, and their average values are zero (thus, first-order backreaction effects are absent). Both the Minkowski background limit and the Newtonian cosmological approximation are reached under certain well-defined conditions. An important feature of the velocity-independent part of the scalar perturbation is revealed: up to an additive constant it represents a sum of Yukawa potentials produced by inhomogeneities with the same finite time-dependent Yukawa interaction range. The suggesting itself connection between this range and the homogeneity scale is briefly discussed along with other possible physical implications.
Talk given at Physics@FOM Veldhoven 2009. Powerpoint source and high-resolution images available upon request.
Journal reference: Phys. Rev. A 77, 023623 (2008) [arXiv:0711.3425]
I am Katherine Walters. I love exploring new topics. Academic writing seemed an exciting option for me. After working for many years with matlabassignmentexperts.com, I have assisted many students with their assignments. I can proudly say, each student I have served is happy with the quality of the solution that I have provided. I acquired my master's from the University of Sydney.
This presentation is intended for undergraduate students in physics and engineering.
Please send comments to solo.hermelin@gmail.com.
For more presentations on different subjects please visit my homepage at http://www.solohermelin.com.
This presentation is in the Physics folder.
A Coupled Thermoelastic Problem of A Half – Space Due To Thermal Shock on the...iosrjce
This paper is concerned with the determination of temperature and displacement of a half space
bounding surface due to thermal shock. This paper deals with the place boundary of the half-space is free of
stress and is subjected to a thermal shock. Moreover , the perturbation method is employed with the
thermoelastic coupling facter ԑ as the perturbation parameter. The Laplace transform and its inverse with very
small thermoelastic coupling facter ԑ are used. The deformation field is obtained for small values of time.
푃푎푟푖푎
7
has formulated different types of thermal boundary condition problems
Brief 5AC RL and RC CircuitsElectrical Circuits Lab VannaSchrader3
Brief 5
AC RL and RC Circuits
Electrical Circuits Lab I
(ENGR 2105)
Dr. Kory Goldammer
Review of Complex Numbers and Transforms
Transforms
The Polar Coordinates / Rectangular Coordinates Transform
The Complex Plane
We can use complex numbers to solve for the phase shift in AC Circuits
Instead of (x,y) coordinates, we define a point in the Complex plane by (real, imaginary) coordinates
Real numbers are on the horizontal axis
Imaginary numbers are on the vertical axis
The Complex Plane (cont.)
Imaginary numbers are multiplied by j
By definition,
(Mathematicians use i instead of j, but that would confuse us since i stands for current in this class)
Imaginary Plane: Rectangular Coordinates
We can identify any point in the 2D plane using (real, imaginary) coordinates
Complex Plane Using Rectangular Coordinates
Imaginary Plane: Transform to Polar Coordinates
We can identify any point in the complex plane using (r,) coordinates.
The arrow is called a Phasor.
r is the length of the Phasor, and is the angle between the Positive Real Axis and the Phasor
is the Phase Angle we want to calculate
Complex Plane Using Rectangular Coordinates
r
Imaginary Plane: Transform to Polar Coordinates
Complex Plane Using Rectangular Coordinates
(we will discuss the meaning of r later)
Use either the sin or cos term to find :
But we need in radians:
r
=7.07
Complex Math
For addition or subtraction, add or subtract the real and j terms separately.
(3 + j4) + (2 – j2) = 5 + j2
To multiply or divide a j term by a real number, multiply or divide the numbers. The answer is still a j term.
5 * j6 = j30
-2 * j3 = -j6
j10 / 2 = j5
Complex Math (cont. 1)
To divide a j term by a j term, divide the j coefficients to produce a real number; the j factors cancel.
j10 / j2 = 5
-j6 / j3 = -2
To multiply complex numbers, follow the rules of algebra, noting that j2 = -1
Complex Math (cont. 2)
To divide by a complex number: Can’t be done!
The denominator must first be converted to a Real number!
Complex Conjugation
Converting the denominator to a real number without any j term is called rationalization.
To rationalize the denominator, we need to multiply the numerator and denominator by the complex conjugate
Complex Number Complex Conjugate
5 + j3 5 – j3
–5 + j3 –5 – j3
5 – j3 5 + j3
–5 – j3 –5 + j3
Complex Math (cont. 2)
Multiply the original equation by the complex conjugate divided by itself (again, j2 = -1):
Phase Shift
Time Domain - ω Domain Transforms
Transforming from the Time (Real World) Domain to the (Problem Solving Domain
Note that in the ω Domain, Resistance, Inductance and Capacitance all of units of Ohms!ElementTime Domainω Domain TransformApplied Sinusoidal AC Voltage
(Volts) (ω=2πf)Vp
(Volts)Series Current(Amps) (ω=2πf)(Amps)ResistanceR
(Ohms)R
(Ohms)InductanceL
(Henry’s)(Ohms) (ω=2πf)CapacitanceC
(Farads)(Ohms) (ω=2πf)
Solving For Current
...
Exact Sum Rules for Vector Channel at Finite Temperature and its Applications...Daisuke Satow
Slides used in presentation at:
“International School of Nuclear Physics 38th Course Nuclear matter under extreme conditions -Relativistic heavy-ion collisions”, in September, 2016 @ Erice, Italy
Z Transform And Inverse Z Transform - Signal And SystemsMr. RahüL YøGi
The z-transform is the most general concept for the transformation of discrete-time series.
The Laplace transform is the more general concept for the transformation of continuous time processes.
For example, the Laplace transform allows you to transform a differential equation, and its corresponding initial and boundary value problems, into a space in which the equation can be solved by ordinary algebra.
The switching of spaces to transform calculus problems into algebraic operations on transforms is called operational calculus. The Laplace and z transforms are the most important methods for this purpose.
Seminar Talk: Multilevel Hybrid Split Step Implicit Tau-Leap for Stochastic R...Chiheb Ben Hammouda
In biochemically reactive systems with small copy numbers of one or more reactant molecules, the dynamics are dominated by stochastic effects. To approximate those systems, discrete state-space and stochastic simulation approaches have been shown to be more relevant than continuous state-space and deterministic ones. These stochastic models constitute the theory of Stochastic Reaction Networks (SRNs). In systems characterized by having simultaneously fast and slow timescales, existing discrete space-state stochastic path simulation methods, such as the stochastic simulation algorithm (SSA) and the explicit tau-leap (explicit-TL) method, can be very slow. In this talk, we propose a novel implicit scheme, split-step implicit tau-leap (SSI-TL), to improve numerical stability and provide efficient simulation algorithms for those systems. Furthermore, to estimate statistical quantities related to SRNs, we propose a novel hybrid Multilevel Monte Carlo (MLMC) estimator in the spirit of the work by Anderson and Higham (SIAM Multiscal Model. Simul. 10(1), 2012). This estimator uses the SSI-TL scheme at levels where the explicit-TL method is not applicable due to numerical stability issues, and then, starting from a certain interface level, it switches to the explicit scheme. We present numerical examples that illustrate the achieved gains of our proposed approach in this context.
Notes I made in June 2013 on the derivation and use of the Black-Scholes equation. If you can forgive the terseness, you can look forward to some nifty stochastic partial differential equation twirling!
Any and all corrections are welcome!
ניסוי מחשב בדינאמיקה מולקולרית
המעבדה המתקדמת בכימיה פיזיקאלית, המחלקה לפיזיקה כימית, אוניברסיטאת תל אביב.
The Advanced Lab in Chemical Physics, Department of Chemical Physics, Tel Aviv University.
MD, Thermodynamics & Statistical Mechanics, Numerical Methods, Probability & Statistics, Monte Carlo Simulation, Liquids
Tutorial in calculation of IR & NMR spectra (i.e. measuring nuclear vibrations and spins) using the GAUSSIAN03 computational chemistry package.
Following an introduction to spectroscopy in general, each of the two measurement types is presented in sequence. For each one, we review the theory before presenting the calculation scheme. We then present the relative strengths and limitations (with respect to other measurements), and then compare the calculation method with experimentation. We close each of the two subjects with an advanced topic: Raman IR spectroscopy (and depolarization ratio), and indirect dipole coupling (a.k.a. spin-spin coupling). I've also made the last part available as a standalone presentation: http://www.slideshare.net/InonSharony/nmr-spinspin-splitting-using-gaussian03.
(This presentation is in .pptx format, and will display well when embedded improperly, such as on the SlideShare site. Please download at your discretion, and be sure to cite your source)
Review of the Hartree-Fock algorithm for the Self-Consistent Field solution of the electronic Schroedinger equation. This talk also serves to highlight some basic points in Quantum Mechanics and Computational Chemistry.
March 21st, 2012
The increased availability of biomedical data, particularly in the public domain, offers the opportunity to better understand human health and to develop effective therapeutics for a wide range of unmet medical needs. However, data scientists remain stymied by the fact that data remain hard to find and to productively reuse because data and their metadata i) are wholly inaccessible, ii) are in non-standard or incompatible representations, iii) do not conform to community standards, and iv) have unclear or highly restricted terms and conditions that preclude legitimate reuse. These limitations require a rethink on data can be made machine and AI-ready - the key motivation behind the FAIR Guiding Principles. Concurrently, while recent efforts have explored the use of deep learning to fuse disparate data into predictive models for a wide range of biomedical applications, these models often fail even when the correct answer is already known, and fail to explain individual predictions in terms that data scientists can appreciate. These limitations suggest that new methods to produce practical artificial intelligence are still needed.
In this talk, I will discuss our work in (1) building an integrative knowledge infrastructure to prepare FAIR and "AI-ready" data and services along with (2) neurosymbolic AI methods to improve the quality of predictions and to generate plausible explanations. Attention is given to standards, platforms, and methods to wrangle knowledge into simple, but effective semantic and latent representations, and to make these available into standards-compliant and discoverable interfaces that can be used in model building, validation, and explanation. Our work, and those of others in the field, creates a baseline for building trustworthy and easy to deploy AI models in biomedicine.
Bio
Dr. Michel Dumontier is the Distinguished Professor of Data Science at Maastricht University, founder and executive director of the Institute of Data Science, and co-founder of the FAIR (Findable, Accessible, Interoperable and Reusable) data principles. His research explores socio-technological approaches for responsible discovery science, which includes collaborative multi-modal knowledge graphs, privacy-preserving distributed data mining, and AI methods for drug discovery and personalized medicine. His work is supported through the Dutch National Research Agenda, the Netherlands Organisation for Scientific Research, Horizon Europe, the European Open Science Cloud, the US National Institutes of Health, and a Marie-Curie Innovative Training Network. He is the editor-in-chief for the journal Data Science and is internationally recognized for his contributions in bioinformatics, biomedical informatics, and semantic technologies including ontologies and linked data.
Cancer cell metabolism: special Reference to Lactate PathwayAADYARAJPANDEY1
Normal Cell Metabolism:
Cellular respiration describes the series of steps that cells use to break down sugar and other chemicals to get the energy we need to function.
Energy is stored in the bonds of glucose and when glucose is broken down, much of that energy is released.
Cell utilize energy in the form of ATP.
The first step of respiration is called glycolysis. In a series of steps, glycolysis breaks glucose into two smaller molecules - a chemical called pyruvate. A small amount of ATP is formed during this process.
Most healthy cells continue the breakdown in a second process, called the Kreb's cycle. The Kreb's cycle allows cells to “burn” the pyruvates made in glycolysis to get more ATP.
The last step in the breakdown of glucose is called oxidative phosphorylation (Ox-Phos).
It takes place in specialized cell structures called mitochondria. This process produces a large amount of ATP. Importantly, cells need oxygen to complete oxidative phosphorylation.
If a cell completes only glycolysis, only 2 molecules of ATP are made per glucose. However, if the cell completes the entire respiration process (glycolysis - Kreb's - oxidative phosphorylation), about 36 molecules of ATP are created, giving it much more energy to use.
IN CANCER CELL:
Unlike healthy cells that "burn" the entire molecule of sugar to capture a large amount of energy as ATP, cancer cells are wasteful.
Cancer cells only partially break down sugar molecules. They overuse the first step of respiration, glycolysis. They frequently do not complete the second step, oxidative phosphorylation.
This results in only 2 molecules of ATP per each glucose molecule instead of the 36 or so ATPs healthy cells gain. As a result, cancer cells need to use a lot more sugar molecules to get enough energy to survive.
Unlike healthy cells that "burn" the entire molecule of sugar to capture a large amount of energy as ATP, cancer cells are wasteful.
Cancer cells only partially break down sugar molecules. They overuse the first step of respiration, glycolysis. They frequently do not complete the second step, oxidative phosphorylation.
This results in only 2 molecules of ATP per each glucose molecule instead of the 36 or so ATPs healthy cells gain. As a result, cancer cells need to use a lot more sugar molecules to get enough energy to survive.
introduction to WARBERG PHENOMENA:
WARBURG EFFECT Usually, cancer cells are highly glycolytic (glucose addiction) and take up more glucose than do normal cells from outside.
Otto Heinrich Warburg (; 8 October 1883 – 1 August 1970) In 1931 was awarded the Nobel Prize in Physiology for his "discovery of the nature and mode of action of the respiratory enzyme.
WARNBURG EFFECT : cancer cells under aerobic (well-oxygenated) conditions to metabolize glucose to lactate (aerobic glycolysis) is known as the Warburg effect. Warburg made the observation that tumor slices consume glucose and secrete lactate at a higher rate than normal tissues.
Observation of Io’s Resurfacing via Plume Deposition Using Ground-based Adapt...Sérgio Sacani
Since volcanic activity was first discovered on Io from Voyager images in 1979, changes
on Io’s surface have been monitored from both spacecraft and ground-based telescopes.
Here, we present the highest spatial resolution images of Io ever obtained from a groundbased telescope. These images, acquired by the SHARK-VIS instrument on the Large
Binocular Telescope, show evidence of a major resurfacing event on Io’s trailing hemisphere. When compared to the most recent spacecraft images, the SHARK-VIS images
show that a plume deposit from a powerful eruption at Pillan Patera has covered part
of the long-lived Pele plume deposit. Although this type of resurfacing event may be common on Io, few have been detected due to the rarity of spacecraft visits and the previously low spatial resolution available from Earth-based telescopes. The SHARK-VIS instrument ushers in a new era of high resolution imaging of Io’s surface using adaptive
optics at visible wavelengths.
Introduction:
RNA interference (RNAi) or Post-Transcriptional Gene Silencing (PTGS) is an important biological process for modulating eukaryotic gene expression.
It is highly conserved process of posttranscriptional gene silencing by which double stranded RNA (dsRNA) causes sequence-specific degradation of mRNA sequences.
dsRNA-induced gene silencing (RNAi) is reported in a wide range of eukaryotes ranging from worms, insects, mammals and plants.
This process mediates resistance to both endogenous parasitic and exogenous pathogenic nucleic acids, and regulates the expression of protein-coding genes.
What are small ncRNAs?
micro RNA (miRNA)
short interfering RNA (siRNA)
Properties of small non-coding RNA:
Involved in silencing mRNA transcripts.
Called “small” because they are usually only about 21-24 nucleotides long.
Synthesized by first cutting up longer precursor sequences (like the 61nt one that Lee discovered).
Silence an mRNA by base pairing with some sequence on the mRNA.
Discovery of siRNA?
The first small RNA:
In 1993 Rosalind Lee (Victor Ambros lab) was studying a non- coding gene in C. elegans, lin-4, that was involved in silencing of another gene, lin-14, at the appropriate time in the
development of the worm C. elegans.
Two small transcripts of lin-4 (22nt and 61nt) were found to be complementary to a sequence in the 3' UTR of lin-14.
Because lin-4 encoded no protein, she deduced that it must be these transcripts that are causing the silencing by RNA-RNA interactions.
Types of RNAi ( non coding RNA)
MiRNA
Length (23-25 nt)
Trans acting
Binds with target MRNA in mismatch
Translation inhibition
Si RNA
Length 21 nt.
Cis acting
Bind with target Mrna in perfect complementary sequence
Piwi-RNA
Length ; 25 to 36 nt.
Expressed in Germ Cells
Regulates trnasposomes activity
MECHANISM OF RNAI:
First the double-stranded RNA teams up with a protein complex named Dicer, which cuts the long RNA into short pieces.
Then another protein complex called RISC (RNA-induced silencing complex) discards one of the two RNA strands.
The RISC-docked, single-stranded RNA then pairs with the homologous mRNA and destroys it.
THE RISC COMPLEX:
RISC is large(>500kD) RNA multi- protein Binding complex which triggers MRNA degradation in response to MRNA
Unwinding of double stranded Si RNA by ATP independent Helicase
Active component of RISC is Ago proteins( ENDONUCLEASE) which cleave target MRNA.
DICER: endonuclease (RNase Family III)
Argonaute: Central Component of the RNA-Induced Silencing Complex (RISC)
One strand of the dsRNA produced by Dicer is retained in the RISC complex in association with Argonaute
ARGONAUTE PROTEIN :
1.PAZ(PIWI/Argonaute/ Zwille)- Recognition of target MRNA
2.PIWI (p-element induced wimpy Testis)- breaks Phosphodiester bond of mRNA.)RNAse H activity.
MiRNA:
The Double-stranded RNAs are naturally produced in eukaryotic cells during development, and they have a key role in regulating gene expression .
Richard's aventures in two entangled wonderlandsRichard Gill
Since the loophole-free Bell experiments of 2020 and the Nobel prizes in physics of 2022, critics of Bell's work have retreated to the fortress of super-determinism. Now, super-determinism is a derogatory word - it just means "determinism". Palmer, Hance and Hossenfelder argue that quantum mechanics and determinism are not incompatible, using a sophisticated mathematical construction based on a subtle thinning of allowed states and measurements in quantum mechanics, such that what is left appears to make Bell's argument fail, without altering the empirical predictions of quantum mechanics. I think however that it is a smoke screen, and the slogan "lost in math" comes to my mind. I will discuss some other recent disproofs of Bell's theorem using the language of causality based on causal graphs. Causal thinking is also central to law and justice. I will mention surprising connections to my work on serial killer nurse cases, in particular the Dutch case of Lucia de Berk and the current UK case of Lucy Letby.
Introduction to the Keldysh non-equlibrium Green's function technique
1. An Introductory Lecture to the Keldysh Technique
for Non-equilibrium Green's Functions
Submitted by Inon Sharony
October 23, 2008
Towards credit in the course
The Green's Function Method for Many-Body Theory
Given in the spring semester, 2008 by
Professor K. Kikoin
2. 1 Motivation
Physical systems out of equilibrium usually represent one or more of the following behaviors:
• Relaxation: Towards the ground state.
• Dephasing: From a coherent state to a non-coherent state.
• Steady-state: A time-stationary state which is not the ground state. e.g., a system with a source
& drain, in which exists a constant current.
And so on...
In the case of relaxation, we deal with a system initially prepared (at time t = −∞) in some excited
state, and we explore its return to the ground state. Alternatively, the system begins in some ground
state, and an external eld begins to be applied. If the external eld is weak enough, we should recover
from our theory of non-equilibrium Green's functions (NEGF), the theory of linear response.
The NEGF method proposes a quantum mechanical formulation of the classical Boltzmann equation.
1.1 Non-equilibrium Dynamics [7]
We begin with a short denition of non-equilibrium. This is not a rigorous proof, but a mathematical
introduction to the term non-equilibrium with respect to physical problems.
1.1.1 Master Equation Solutions for Equilibrium and Non-equilibrium Cases
Looking at a single point in conguration space, C ≡ ({xi} , {pi}), we nd that writing a master equation
for a non-equilibrium process will consist of summing on all the processes that increase the probability
to nd the system with such a conguration at time t, and subtracting all the processes that decrease
that probability.
∂tP (C, t) =
C
[R (C ← C ) P (C , t) − R (C ← C) P (C, t)]
∂tP = −LP
Where R (C ← C ) represent the incoming and R (C ← C) the outgoing rates (assumed constant).
This master equation seems similar to the Hamilton equation, but diers from it in some respects
(e.g., all P's are non-negative Reals and not Complex as in the case of Ψ).
One class of solutions consists of all the time independent solutions, P (C). The dierence between
the equilibrium and non-equilibrium solutions lies in that the rates R related to the equilibrium solutions
obey detailed balance, whereas in the non-equilibrium case they do not.
1.1.2 Detailed Balance
Take a series of congurations:
C1, C2, . . . , Cn−1, Cn.
Consider the products of the rates around the cycle
Π+ ≡ R (C1 ← Cn) R (Cn ← Cn−1) · · · R (C3 ← C2) R (C2 ← C1)
Π− ≡ R (C1 ← C2) R (C2 ← C3) · · · R (Cn−1 ← Cn) R (Cn ← C1)
Detailed balance entails that Π+ = Π−for all cycles.
Writing
R (C ← C )
R (C ← C)
≡ eA
× . . .
Detailed balance becomes
× A = 0
A can be written as a gradient of some scalar (e.g. −H/kBT) so that
P (C) ∝ e−β·H(C)
3. and for all pairs C and C we have
R (C ← C ) P (C ) − R (C ← C) P (C) = 0 (1)
i.e., zero current everywhere (e.g., electrostatics).
By contrast, if the rates violate detailed balance, we will still have time-independent solutions P (C),
but this time the left-hand-side (LHS) of 1 will not equal zero, and we will get non-trivial current loops
in our system (e.g., magnetostatics). These are called non-equilibrium steady states. Examples for when
we can get these could be when coupling to two energy reservoirs or two electrodes. In general, we can
expect these if F = − V.
1.2 Technical Dierences
As opposed to the Matsubara GF method, where an analytical continuation was applied (to relate
discrete Imaginary frequencies with temperature), the Keldysh technique we will discuss here uses only
continuous Real frequencies. This makes the Keldysh technique more appealing even in equilibrium
cases, where the Matsubara method can be more complex. An alternative approach, by Kadanoff
and Baym [10] may be more exhaustive, and will not be discussed here.
In most cases we will deal with, we are interested in a cannonic or grand-cannonic ensemble (i.e., the
energy isn't known exactly, but the temperature is). Therefore the averaging now takes on a dierent
meaning from the quantum expectation value (in equilibrium with respect to some ground state), but
rather a quantum ensemble average. Therefore
ˆO ≡
1
Z
Tr ˆρ ˆO
Z ≡
1
Z
Tr [ˆρ]
This carries some importance as pertains to the initial state of the system, as dened by ˆρ (t = 0), but
we will assume that the system was initially prepared in a pure state. For a more generalized approach,
see [6].
2 Non-equilibrium Green's Functions
We remember that the Green's function method reveals to be a pertubative technique through the
scattering matrix, S ≡ S (−∞, ∞) ≡ ˆT exp −i
∞
−∞
V (t) dt 1, where V is the time-dependent part of
the Hamiltonian and where the time-ordering operator, ˆT, to the right as follows:
ˆTA (1) B (2) =
A (1) B (2) t1 t2
A (1) B (2) t1 t2
where we employed the shorthand notation (1) ≡ (r1, t1). We likewise dene the anti-time-ordering
operator,
ˆ
T, which operates to the right in the opposite way.
Now, as in the equilibrium case
G (1, 2) ≡ −i S−1 ˆTΨ (1) Ψ†
(2) S
S−1
≡
ˆ
Te+i
R ∞
−∞
V(t)dt
Since no adiabatic switching-on can be assumed in a non-equilibrium situation, we cannot assume
that the state of the system at time t = −∞ diers from its state at time t = ∞ by a phase factor
only (Gell-Man Low theorem) . Therefore, as in the Matsubara method, we will need to concern
ourselves with a situation where we cannot factorize out the term S−1
.
The second quantization of the interaction (for a system under an external eld) can be expressed as:
V (t) ≡ Ψ (r, t) U (r, t) Ψ†
(r, t) dr
1Throughout this work we will take = 1.
4. We can expand the GF as a pertubative series by taking the S-matrix term-by-term in accordance
with the series expansion of the exponent.
S = S(0) + S(1) + . . .
S(n) ≡
(−i)
n
n!
ˆT
∞
−∞
∞
−∞
. . .
∞
−∞
V (t) V (t ) . . . V t(n)
dtdt . . . dt(n)
G (1, 2) = G0 (1, 2) + G1 (1, 2) + G2 (1, 2) + . . .
G0 (1, 2) = −i S−1
(0)
ˆTΨ (1) Ψ†
(2) S(0) = −i ˆTΨ (1) Ψ†
(2)
G1 (1, 2) = −i S−1
(0)
ˆTΨ (1) Ψ†
(2) S(1) − i S−1
(1)
ˆTΨ (1) Ψ†
(2) S(0)
= −i ˆTΨ (1) Ψ†
(2) S(1) − i S−1
(1)
ˆTΨ (1) Ψ†
(2)
= −i ˆT Ψ (1) Ψ†
(2)
∞
−∞
Ψ (3) U (3) Ψ†
(3) dr3 − i
ˆ
T
∞
−∞
Ψ (3) U (3) Ψ†
(3) dr3 × ˆT Ψ (1) Ψ†
(2)(2)
Obviously, the second and third terms on the RHS are not equivalent due to the dierent time
ordering of the component eld operators. This leads us to the concept of contour integration.
2.1 Contour Integration
The Kadanoff-Baym approach rst introduced the concept of contour integration in relation to GF
by switching the time-ordering operator by a closed-time-path integration contour.
This can be extended to thermodynamic systems through an interaction contour by including the
negative imaginary time axis.
In the case where the initial state of the system is described at t0 = −∞ as some pure state (all
initial correlations are zero), we can ignore the hook part of the contour (t0 − iβ ≤ t ≤ t0). This is
correct assuming the GF falls o fast enough with respect to the dierence of its two time arguments.
Thus, the closed time-path contour and the interaction contour are identical.
2.2 The Keldysh Contour [2]2
Keldysh showed that the contour can be extended beyond the largest time argument, so that it extends
from −∞ to +∞ (this is called the C1 contour) then crosses the real time axis innitesimally and returns
from +∞ to −∞ (C2). This is named the Keldysh contour. Clearly, the C1 part of the contour is time-
ordered, and the C2 part is anti-time-ordered. Thus, we can change our perspective from time-ordering
to contour-ordering, which we will discuss in the next sections.3
2For a review see [5]
3We will take this time to point out that a generalisation of the Green's functions technique to include also thermody-
namic information and correlations has been proposed in [6].
5. We now need to dene Green's functions in accordance to the relative location of their two time
arguments along the Keldysh contour.
2.3 Introducing: The Non-equilibrium Green's Functions (NEGF)
The eld operators in each correction term to the GF are connected in pairs (as in equilibrium methods).
Each pair is averaged over separately as a zero-order GF, G0, where each of the two eld operators can
be either part of the time-ordered part or anti-time-ordered part.
2.3.1 (Massive) Particle NEGF
The greater and lesser GF The greater (and lesser) GF correspond to the cases where the
rst time argument lies on the lower (upper) part of the contour, and the second time argument lies on
the opposite part.4
G
(1, 1 ) ≡ −i ΨH (1) Ψ†
H (1 )
G
(1, 1 ) ≡ ±i Ψ†
H (1 ) ΨH (1)
where in the last line, the positive sign corresponds to a Fermion GF, and the negative sign to a
Boson GF.
The relation to the density matrix is evident, when taking coinciding time arguments
G
(r1, t ; r1 , t) =
N
V
ˆρ (r1, t ; r1 , t) (3)
Due to the commutation relations of the eld operators, we have another identity for GF with
coinciding time arguments:
G
(r1, t ; r1 , t) − G
(r1, t ; r1 , t) = iδ (r1 − r1 )
The time-ordered and anti-time-ordered GF The causal equilibrium GF is now renamed
the time-ordered NEGF, and corresponds to cases where both time arguments lie on the upper part of
the contour (the part which is directed in the positive time direction):
Gc
(1, 1 ) ≡ −i ˆTΨH (1) Ψ†
H (1 )
≡
G
(1, 1 ) t1 t1
G
(1, 1 ) t1 t1
We similarly dene an anti-time-ordered NEGF, Gec
, using the anti-time-ordering operator, and
corresponding to cases where both time arguments lie on the lower part of the contour. Since the time
ordering operator (or anti time ordering operator) is invoked, the type of NEGF chosen does not depend
on the relative order of the two time arguments, but only that they are on the same part of the contour
(as opposed to the greater and lesser NEGF).
Thus, it is clear that the greater GF is applied when the rst time argument is greater than the
second, and vice-versa for the lesser GF.
The advanced and retarded GF The advanced and retarded GF are dened as in equilib-
rium GF techniques
Gr
(1, 1 ) ≡
−i ΨH (1) , Ψ†
H (1 )
±
t1 t1
0 t1 t1
Ga
(1, 1 ) ≡
0 t1 t1
+i ΨH (1) , Ψ†
H (1 )
±
t1 t1
4The greater GF is sometimes termed the particle propagator and the lesser GF the hole propagator.
6. These last two GF, as in the equilibrium case, have no cuts and are analytic in the upper (retarded)
or lower (advanced) half-planes of the complex time coordinate. Physically, they may represent the
system's magnetic susceptibility or dielectric constant.
The contour-ordered GF The contour-ordered NEGF is now dened as:
G (1, 1 ) ≡ −i ˆTCΨH (1) Ψ†
H (1 )
≡
Gc
(1, 1 ) t1, t1 ∈ C1
G
(1, 1 ) t1 ∈ C2, t1 ∈ C1
G
(1, 1 ) t1 ∈ C1, t1 ∈ C2
Gec
(1, 1 ) t1, t1 ∈ C2
this can be written in a matrix notation:
G ≡
Gc
G
G
Gec =
G−−
G−+
G+−
G++ (4)
Where the Gαβ
notation signies on which of the contours each of the time arguments lie. Confusingly,
the right sign corresponds to the rst time argument and the left sign corresponds to the second time
argument. If a time argument lies on the top contour (C1) it is marked with a negative sign, and
vice-versa.
2.3.2 (Massless) Interaction Quanta NEGF
In order to calculate the interaction of particles via quanta such as phonons we need to dene NEGF for
such Bosons.
We begin by dening the gauge transformation of the Complex Boson eld operator, χ, into the Real
scalar Boson eld operator, Φ:
Φ ≡ χ + χ†
Since Φ is Real, we dene
D
(1, 1 ) ≡ −i ΦH (1) ΦH (1 )
D
(1, 1 ) ≡ −i ΦH (1 ) ΦH (1)
we note that
D
(1, 1 ) = D
(1 , 1)
and that they are both anti-Hermitian.
Once again,
Dc
(1, 1 ) ≡ −i ˆTΦH (1) ΦH (1 )
and likewise for
Dec
(1, 1 ) ≡ −i
ˆ
TΦH (1) ΦH (1 )
For further details see [3].
2.4 Mathematical Relations of the NEGF
2.4.1 Conjugation Relations
Ga
(1, 1 ) = Gr
(1 , 1)
∗
(5)
Gc
(1, 1 ) = −Gec
(1 , 1)
∗
G
(1, 1 ) = −G
(1 , 1)
∗
G
(1, 1 ) = −G
(1 , 1)
∗
7. 2.4.2 Linear Co-dependence
Ga
= Gc
− G
= Gec
− G
Gr
= Gc
− G
= Gec
− G
Gc
+ Gec
= G
+ G
This last relation can be used to remove an excess GF equation, using the Keldysh GF
Gk
≡ Gec
− Gc
= G
− G
(6)
2.5 The Fourier Transformed NEGF (FT-NEGF)
In the case of homogeneous space and time, we expand the eld operators in plane-waves (Fourier
transformation)
Ψ (r1, t1) ≡
1
√
V p
apei(p·r1−ξpt1)
ξp ≡ εp − µ
Using the correlations of the creation and annihilation operators in momentum space
a†
pap = npδ (p − p )
apa†
p =
[1 − np] δ (p − p ) Fermions
[1 + np] δ (p − p ) Bosons
where only at equilibrium is np equal to the Fermi-Dirac (or Bose-Einstein) distribution function,
and otherwise is just the non-equilibrium momentum distribution function.
G
(r1, t1 ; r1 , t1 ) = G
(r, t ; 0, 0)
= ±
i
V
npei(p·r−ξpt) V d3
p
(2π)
3
inserting a Dirac delta function in frequency space allows a further Fourier transformation in
frequency:
G
(r, t ; 0, 0) = ±2πi npei(p·r−ωt) d3
p
(2π)
3 δ (ω − ξp)
dω
2π
≡ ei(p·r−ωt)
G
(p, ω)
d4
p
(2π)
4
and we identify
G
(p, ω) ≡ ±2πinpδ (ω − ξp)
G
(p, ω) ≡ ±2πi [1 − np] δ (ω − ξp)
and we can use previous identities together with the Sokhatsky-Weierstrass theorem to get
Gc
(p, ω) ≡ PP
1
ω − ξp
+ iπ [±2np − 1] δ (ω − ξp)
8. 2.5.1 Spectral Representation [9]
We dene the spectral function A (p, ω) as follows:
Gr,a
(p, ω) ≡ lim
η→0+
A (p, ω )
ω − ω ± iη
dω
2π
and we note the following resultant identities
A = 2Im [Ga
] = −2Im [Gr
]
making use of the Lehmann expansion for the equilibrium case we nd
G
(p, ω) = inpA (p, ω)
G
(p, ω) = −inpA (p, −ω)
Gk
(p, ω) = − [±2np − 1] A (p, ω)
2.5.2 Correspondence to Equilibrium Green's Functions
At T=0, we take the averaging over the ground state,
. . . → 0 . . . 0 ≡ 0 |. . .| 0 .
Thus, the Fermi-Dirac distribution function is replaced by a Heaviside function,
np → Θ (|p| − pF ) ≡
1 |p| pF
1
2 |p| = pF
0 |p| pF
.
This will cause one of the rst order terms to drop, and likewise for higher orders, reverting from the
NEGF to the equilibrium GF.
G
T =0 (p, ω) = 0 ⇐ |p| pF
G
T =0 (p, ω) = 0 ⇐ |p| pF
3 (Feynman) Diagrammatics
We can form a diagrammatic technique for the NEGF which is almost identical to the equilibrium
Feynman technique used at T=0. Again, free particle propagators (G0) will be represented by solid
arrows, and interactions (U) through dashed lines. The relevant form of Wick's Theorem for the non-
equilibrium case can be proposed via a generalisation of the equilibrium Wick's Theorem however we
will not elaborate this here. We just assume that the average over any number of NEGF with their
dierent orderings can be simplied to a product of averages over connected pairs of NEGF, with some
coecients. More information on these points may be found elsewhere (For instance, [6]).
We return to the Gαβ
notation and reiterate that each propagator in the diagram will be assigned
two signs (±) according to the time-ordering with which its operators are related (time-ordered operators
get a negative index). 5 In accordance to the matrix representation of the NEGF, we will have four
such terms, G±±
. For each such element we will draw the diagrams complying with each term in the
pertubative expansion. Each element diers from the others through the rst and last of its sign indeces.
Let us observe an example.
3.1 First Order
In accordance with the equation for the rst order correction to the GF in 2 we have two diagrammatic
terms for G−−
1 .
5The external eld has two operators, but the dashed line associated with it is only connected to one vertex. Therefore
it is only associated with one sign index.
9. Note that the rst and last signs are negative, as should be for a term in the expansion of G−−
, and
the vertex 3 is integrated over as in the equilibrium Feynman technique (integration over space and
time, and summation over spin indeces).
G−−
1 (1, 2) = G−−
0 (1, 3) G−−
0 (3, 2) [−U (3)] + G−+
0 (1, 3) G+−
0 (3, 2) [U (3)]
The negative sign of the interaction in the rst term is due to the sign with which it is associated, as
a term in S.
The same equation may be written for the other elements, Gαβ
1 .
3.2 Second Order
We can extend the denitions to second order diagrams for the four terms of the G−−
element, G−−
2 .
(Note that we dropped the vertex numbering, or space time arguments)
3.3 First Order Two-particle Interaction
These diagrams are formed, as in the equilibrium case, by dierent combinations of two external-eld
diagrams, where the dashed line now represents an interaction quantum. Notice that the propagator of
the interaction quanta begins and ends with the same sign.
4 Self-energies and the Dyson Equation
We write the Dyson equation as for G−−
, similarly to the equilibrium case
G−−
(1, 2) = G−−
0 (1, 2) +
G−−
0 (1, 4) Σ−−
(4, 3) G−−
(3, 2) +G−
0 (1, 4) Σ−+
(4, 3) G+−
(3, 2) +
G−+
0 (1, 4) Σ+−
(4, 3) G−−
(3, 2) +G−+
0 (1, 4) Σ++
(4, 3) G+−
(3, 2)
We can write this same equation with a more general self-energy (note that the coordinate indeces
have also been changed)
We deal with a 2 × 2 matrix of the indeces corresponding to the dierent NEGF (±± ≡ {, , c, c})
and we can write the Dyson equation in matrix notation:
G = G0 [1 + ΣG]
We can draw diagrams for the dierent elements of dierent order terms of the self energy
10. where the top line is comprised of terms of the Σ−−
element, and the bottom line of the Σ−+
element.
5 RAK Representation
Using a unitary rotation matrix and 6 we can write 4 as
G ≡
0 Ga
Gr
Gk
Σ ≡
Σk
Σr
Σa
0
With
Σa
≡ Σ−−
+ Σ+−
Σr
≡ Σ++
+ Σ−+
Σk
≡ Σ++
+ Σ−−
Three kinetic equations are formed:
Ga
(1, 2) = Ga
0 (1, 2) + Gc
0 (1, 4) Σa
(4, 3) Ga
(3, 2) d4
X4
And likewise we have second the equation for Gr
(1, 2), however it is usually simpler just to use the
relations between the advanced and retarded GFs 5.
The third equation is:
Gk
(1, 2) = −ˆρ (1, 2) + Gr
0 (1, 4) Σk
(4, 3) Ga
(3, 2) + Σr
(4, 3) Gk
(3, 2) + Gk
0 (1, 4) Σa
(4, 3) Ga
(3, 2) d4
X3d4
X4
We can apply the operator [G (0, 1)]
−1
from the left of both sides of the equation, where
G−1
(0, 1) = i
∂
∂t1
+
2
r1
2m
+ µ
G−1
(0, 1) G (1, 2) = δ (r1 − r2)
G−1
(0, 1) Gk
0 (1, 2)
!
= 0
because G (1, 2) has poles at r1 − r2, but Gk
(1, 2) has no poles!
We get
G−1
(0, 1) Gk
(1, 2) = Σk
(1, 3) Ga
(3, 2) + Σr
(1, 3) Gk
(3, 2) d4
X3 (7)
An alternative derivation may be formulated via the Kadanoff-Baym technique and using the
Langreth theorem.6
6See [4, 8].
11. 6 Appendix: The Semi-classical NEGF Approximation The
Transport Equation
6.1 Equivalence to the Boltzmann Equation
For a free gas of classical hard spheres with some distribution function, n (r, p)
dn
dt
=
∂n
∂t
+
∂n
∂r
∂r
∂t
=
∂n
∂t
+
∂n
∂r
p
m
the LHS of the equation is equal to all the contributions from scattering in dierent collisions. This
may be expressed in integral form as the collision integral (Stosszahl), C (n).
If we add an external eld via the force it aects, F
∂n
∂t
+
p
m
∂n
∂r
+ F
∂n
∂p
= C (n)
∂
∂t
+
p
m
∂
∂r
+ F
∂
∂p
n = C (n)
which is quite similar7 to the Dyson equation 7
i
∂
∂t1
+
2
r1
2m
+ µ Gk
(1, 2) = C (n)
G−1
(0, 1) Gk
(1, 2) = C (n)
where we take the quantum equivalent of the classical distribution function n (r, p) → ˆρ (r, p), which
satises 3.
6.2 The Mixed Representation the Wigner Distribution
We combine two G−1
operators to form a 2-particle operator
ˆR ≡ G−1
(0, 1)
†
− G−1
(0, 2) = −i
∂
∂t1
+
∂
∂t2
−
1
2m
2
r1
− 2
r2
we separate X1 and X2 into a center-of-mass coordinate and a dierence coordinate
R ≡
r1 + r2
2
r ≡ r1 − r2
t ≡
t1 + t2
2
τ ≡ t1 − t2
and write the Wigner distribution function (a mixed representation)
ˆρ R +
1
2
r, t ; R −
1
2
r, t =
V
N
eip·r
n (R, p, t)
d3
p
(2π)
3
in reference to the NEGF, this representation gives (in 4-dimensional notation: X ≡ (R, t) , Ξ ≡ (r, τ))
G
(X, P) = eiP Ξ
G
X +
1
2
Ξ, X −
1
2
Ξ
d4
Ξ
(2π)
4
which, for simultaneous time arguments in the GF gives the identity
n (R, p, t) = −i G
(X, P)
dω
2π
7For a more rigorous comparison, see [4, 8].
12. Notice, also that ˆR in the new coordinates (at simultaneous times) is
ˆR (R, r, t) = −i
∂
∂t
−
i
m
R r
The RHS is exactly the RHS of the Boltzmann equation with no external eld, up to a factor of i.
We can generalize this result to a system under an external eld through the introduction of the vector
potential up to rst order in |A|
i r −→ i r −
e
c
A
The result will be the Boltzmann equation with an external force F = qE.
6.3 The Collision Integral
We operate using ˆR on G and use the mixed representation to disregard all short range spatial variations
(neglect dependence on r) nally arriving at a NEGF formulation for the collision integral:
C (n) ∼ −Σ−+
(X, P) G+−
(X, P) + Σ+−
(X, P) G−+
(X, P)
dω
2π
= iΣ−+
(ξp, p ; r, t) · [1 − n (r, p, t)] + iΣ+−
(ξp, p ; r, t) · n (r, p, t)
Where the rst term on the RHS of the last line corresponds to a gain of particles, and the second
term to a loss.
Some more specic approximations are needed to get results for specic models, however we can
note that this result is independent of the same-sign-index self-energies, Σ++
and Σ−−
. Therefore, the
rst order correction terms to the participating self energy elements are gotten from the second order
diagrams of type (here, for Σ−+
)
where (from conservation of 4-momentum) we have P1 = P + P1 − P , and the analytic expression
for this self energy element is
Σ−+
(P) = −i G−+
(P ) G+−
(P1) G−+
(P1) U2
(P1 − P ) δ (P + P1 − P − P1)
d4
P1d4
P
(2π)
8
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