This document discusses the density-density correlation function of strongly inhomogeneous Luttinger liquids (LLs) with both forward scattering interactions between fermions and localized scalar impurities. It shows that the most singular contributions to the slow part of the asymptotic density-density correlation function can be expressed analytically in terms of simple functions involving only the bare transmission and reflection coefficients of single particles scattering from the impurities. This result is obtained using conventional fermionic perturbation theory resummed to all orders, along with the idea that higher-order connected moments of the density operator beyond the second order are less singular than the second order moment. This analytical form serves as an important input to the "Non-Chiral Bosonization Technique
Structure and transport coefficients of liquid Argon and neon using molecular...IOSR Journals
Molecular dynamics simulation was employed to deduce the dynamics property distribution function of Argon
and Neon liquid. With the use of a Lennnard-Jones pair potential model, an inter-atomic interaction function was observed
between pair of particles in a system of many particles, which indicates that the pair distribution function determines the
structures of liquid Argon. This distribution effect regarding the liquid structure of Lennard-Jones potential was strongly
affected such that its viscosity depends on density distribution of the model. The radial distribution function, g(r) agrees well
with the experimental data used. Our results regarding Argon and Neon show that their signatures are quite different at
each temperature, such that their corresponding viscosity is not consistent. Two sharps turning points are more
prominent in Argon, one at temperature of 83.88 Kelvin (K) with viscosity of -0.548 Pascal second (Pa-s) and the
other at temperature of 215.64 K with viscosity of -0.228 Pa-s.
In Argon and Neon liquid, temperature and density are inversely and directly proportional to diffusion
coefficient, in that order. This characteristic suggests that the observed non linearity could result from the non
uniform thermal expansion in liquid Argon and Neon, which are between the temperature range of 21.98 K and
239.52 K.
A solution of the Burger’s equation arising in the Longitudinal Dispersion Ph...IOSR Journals
1) The document presents a solution to the Burger's equation, which describes the longitudinal dispersion phenomenon that occurs when miscible fluids flow through porous media.
2) The solution is obtained by applying the Sumudu transform to reduce the Burger's equation to a heat equation, which is then solved using the homotopy perturbation method.
3) The final solution obtained for concentration C is expressed as a function of distance x and time t, representing the concentration profile for longitudinal dispersion at any point in the porous media and at any time.
This document discusses computer simulations of the structure and thermodynamics of colloidal solutions interacting through Yukawa or Lu-Marlow potentials. It presents:
1) A new attractive potential proposed by Lu and Marlow that takes into account particle size and is proportional to the inverse sixth power of distance for large separations.
2) Use of this potential and a repulsive electrostatic potential in a variational method to calculate theoretical structure factors, finding good agreement with experimental data.
3) Choice of hard spheres as a reference system and use of the Gibbs-Bogoliubov inequality to obtain an upper bound for the free energy of the colloidal system.
This document discusses methods for determining the order of a chemical reaction:
1) The half-life method determines order based on how the time taken for half the reaction to complete varies with the initial concentration of reactants. For nth order reactions, half-life is inversely proportional to the (n-1) power of the initial concentration.
2) The graphical method plots reaction rate against the concentration term (e.g. for first order, plot rate against [A-x]) to determine if the relationship is linear, indicating order. Alternatively, plotting log(rate) against log(concentration term) yields the reaction order from the slope.
3) The Ostwald method analyzes independent reactions at different
This document discusses reaction rates and kinetics concepts including:
- Instantaneous reaction rates can be calculated from the slope of concentration-time graphs at specific points.
- Reaction orders and rate laws can be determined experimentally using methods like the initial rate method or integrated rate law method.
- First-order reactions follow the integrated rate law that the natural log of the concentration is linear with time. Second-order and zero-order reactions also have defining rate laws and kinetics equations.
1)order of reactions
2)second order of reaction
3)units of 2nd order reaction
4) rate equation of second order reaction
5) 2nd order reaction with different initial concentration and equal concentration of reactant
This document discusses reaction kinetics and rate laws. It explains that the rate of a reaction can be defined based on the disappearance of reactants or appearance of products over time. The rate law expression relates the reaction rate to the concentrations of reactants and has the form Rate = k[A]n[B]m, where k is the rate constant and n and m are the orders of reactants A and B. The orders must be determined experimentally by measuring initial rates as concentrations are varied. A first-order reaction has a rate that depends on just one reactant concentration. Integrating the differential rate law gives an integrated rate law relating concentration to time, such as the first-order rate law ln[A] = -kt + ln
Structure and transport coefficients of liquid Argon and neon using molecular...IOSR Journals
Molecular dynamics simulation was employed to deduce the dynamics property distribution function of Argon
and Neon liquid. With the use of a Lennnard-Jones pair potential model, an inter-atomic interaction function was observed
between pair of particles in a system of many particles, which indicates that the pair distribution function determines the
structures of liquid Argon. This distribution effect regarding the liquid structure of Lennard-Jones potential was strongly
affected such that its viscosity depends on density distribution of the model. The radial distribution function, g(r) agrees well
with the experimental data used. Our results regarding Argon and Neon show that their signatures are quite different at
each temperature, such that their corresponding viscosity is not consistent. Two sharps turning points are more
prominent in Argon, one at temperature of 83.88 Kelvin (K) with viscosity of -0.548 Pascal second (Pa-s) and the
other at temperature of 215.64 K with viscosity of -0.228 Pa-s.
In Argon and Neon liquid, temperature and density are inversely and directly proportional to diffusion
coefficient, in that order. This characteristic suggests that the observed non linearity could result from the non
uniform thermal expansion in liquid Argon and Neon, which are between the temperature range of 21.98 K and
239.52 K.
A solution of the Burger’s equation arising in the Longitudinal Dispersion Ph...IOSR Journals
1) The document presents a solution to the Burger's equation, which describes the longitudinal dispersion phenomenon that occurs when miscible fluids flow through porous media.
2) The solution is obtained by applying the Sumudu transform to reduce the Burger's equation to a heat equation, which is then solved using the homotopy perturbation method.
3) The final solution obtained for concentration C is expressed as a function of distance x and time t, representing the concentration profile for longitudinal dispersion at any point in the porous media and at any time.
This document discusses computer simulations of the structure and thermodynamics of colloidal solutions interacting through Yukawa or Lu-Marlow potentials. It presents:
1) A new attractive potential proposed by Lu and Marlow that takes into account particle size and is proportional to the inverse sixth power of distance for large separations.
2) Use of this potential and a repulsive electrostatic potential in a variational method to calculate theoretical structure factors, finding good agreement with experimental data.
3) Choice of hard spheres as a reference system and use of the Gibbs-Bogoliubov inequality to obtain an upper bound for the free energy of the colloidal system.
This document discusses methods for determining the order of a chemical reaction:
1) The half-life method determines order based on how the time taken for half the reaction to complete varies with the initial concentration of reactants. For nth order reactions, half-life is inversely proportional to the (n-1) power of the initial concentration.
2) The graphical method plots reaction rate against the concentration term (e.g. for first order, plot rate against [A-x]) to determine if the relationship is linear, indicating order. Alternatively, plotting log(rate) against log(concentration term) yields the reaction order from the slope.
3) The Ostwald method analyzes independent reactions at different
This document discusses reaction rates and kinetics concepts including:
- Instantaneous reaction rates can be calculated from the slope of concentration-time graphs at specific points.
- Reaction orders and rate laws can be determined experimentally using methods like the initial rate method or integrated rate law method.
- First-order reactions follow the integrated rate law that the natural log of the concentration is linear with time. Second-order and zero-order reactions also have defining rate laws and kinetics equations.
1)order of reactions
2)second order of reaction
3)units of 2nd order reaction
4) rate equation of second order reaction
5) 2nd order reaction with different initial concentration and equal concentration of reactant
This document discusses reaction kinetics and rate laws. It explains that the rate of a reaction can be defined based on the disappearance of reactants or appearance of products over time. The rate law expression relates the reaction rate to the concentrations of reactants and has the form Rate = k[A]n[B]m, where k is the rate constant and n and m are the orders of reactants A and B. The orders must be determined experimentally by measuring initial rates as concentrations are varied. A first-order reaction has a rate that depends on just one reactant concentration. Integrating the differential rate law gives an integrated rate law relating concentration to time, such as the first-order rate law ln[A] = -kt + ln
Chemical kinematics deals with the rates of chemical reactions and their mechanisms. The rate constant in a rate law, such as the rate law d[A]/dt = k[A], is independent of concentration but depends on factors like temperature. The order of a reaction is the sum of the powers of the concentration terms in its rate equation. Common orders of reaction include zero-order, where the rate is independent of reactant concentration, first-order, where the rate depends on one concentration term, and second-order, where the rate depends on two concentration terms. Higher order reactions are also possible but are more complex.
The document discusses chemical kinetics and reaction rates. It provides information on:
- The study of rates of chemical reactions and reaction mechanisms (chemical kinetics).
- How reaction rates are expressed in terms of changes in reactant/product concentrations over time.
- Factors that influence reaction rates such as concentration, temperature, and surface area.
- Collision theory and how effective collisions between reactant particles lead to reactions.
- Reaction orders, rate laws, and how to determine the order of reactions based on experimental rate data.
This document summarizes a theoretical study of a two-species Bose-Einstein condensate loaded into an optical lattice. The study finds that quantum fluctuations destroy long-range coherence between atoms in different lattice sites. For miscible atoms, fluctuations reduce inter- and intra-species coherence and on-site atom number fluctuations. For immiscible atoms, fluctuations enhance number fluctuations, reduce coherence, and cause spontaneous formation of interleaved spatial domains of each species with fluctuating domain lengths depending on quantum effects.
Systematic Study Multiplicity Production Nucleus – Nucleus Collisions at 4.5 ...IOSRJAP
The correlations between the multiplicity distributions and the projectile fragments, as well as the correlation between the black and grey fragments were given. We observed that the mean number of interacting projectile nucleons increases quickly as the value of heavily ionizing charged particles increase as expected but attains a more or less constant value for extreme central collisions. Finally, there is no distinct correlation between the shower particle production and the target excitation, but the average value of grey particles decreases with the increase of the number of black particles and vice versa. This correlation can also be explained by the fireball model.
The document discusses further developing the solvent model parameterization in the ONETEP software for recent exchange-correlation functionals. It aims to re-examine the parameters established previously using outdated approximations and to compare results using functionals like VV10 and B97M-V to PBE and LDA. The author finds the exchange functional makes little difference to solvation energy accuracy. Parameters may need minor adjustments and more research is needed, particularly for anions. Validation of the model for 60 molecules using different functionals finds B3LYP and B97M-V have the lowest error compared to experiment.
The document provides an overview of dimensional analysis and its applications in fluid mechanics. Dimensional analysis is a tool used to correlate analytical and experimental results and predict prototype behavior from model measurements. It involves identifying the fundamental dimensions of variables (e.g. mass, length, time) and establishing dimensionless relationships between variables using methods like Rayleigh's or Buckingham's π-theorem. Dimensional analysis is important for model analysis where dynamic similarity between a model and prototype must be achieved. The document discusses different model laws used to design models for similarity based on dominant forces like viscosity, gravity, etc. It also provides scale ratios required for geometric, kinematic and dynamic similarity.
Buckingham's Π theorem is a method of dimensional analysis that arranges variables in a physical problem into dimensionless groups (Π terms) to reduce the number of variables. It works when the total number of variables (n) is greater than the number of fundamental dimensions (m) involved. The example problem applies the method to determine the drag force (FD) on a sphere moving through a fluid based on variables like sphere diameter (D), velocity (V), fluid density (ρ), and viscosity (μ). Following steps of listing variables, determining n and m, forming Π groups, and solving for exponents to satisfy dimensionality, two dimensionless groups Π1 = FD/(ρV2D2) and
Miscibility and Thermodynamics of Polymer BlendsAbhinand Krishna
Presentation includes classification of polymer blends based on miscibility, phase diagram of polymer blends and thermodynamics polymer blends which includes Gibbs energy theory and Flory-Huggins Theory
This document discusses kinetics and order of reactions. It defines zero, first, and second order reactions based on how the rate of reaction depends on the concentrations of reactants. Zero order reactions have rates independent of concentrations. First order rates depend on one concentration. Second order can depend on two concentrations. Methods for determining reaction order include substitution, initial rates, plotting data, and half-life determination. Complex reactions with opposing, consecutive, or parallel pathways are also discussed.
Similitude and Dimensional Analysis -Hydraulics engineering Civil Zone
This document discusses similitude and dimensional analysis for model testing in hydraulic engineering. It introduces key concepts like similitude, prototype, model, geometric similarity, kinematic similarity, dynamic similarity, dimensionless numbers, and model laws. Reynolds model law is described in detail, which states that the Reynolds number must be equal between the model and prototype for problems dominated by viscous forces, such as pipe flow. An example problem demonstrates how to calculate the velocity and flow rate in a hydraulic model based on given prototype parameters and Reynolds model law.
Dimensional analysis is a mathematical technique used to establish relationships between physical quantities in fluid phenomena. It involves considering the dimensions of quantities and grouping dimensionless parameters to better understand flows. Dimensional analysis provides guidance for experimental work by indicating important influencing factors. It is applied to develop equations, convert between units, reduce experimental variables, and enable model studies through similitude. The key concepts are that theoretical equations must be dimensionally homogeneous and empirical equations have limited applications. Dimensional analysis methods include Rayleigh's method of exponential relationships and Buckingham's Π-method of grouping variables into dimensionless terms.
1. Dimensional analysis and the concept of similitude allow experiments using scale models to be used to study full-scale systems. Dimensional analysis uses Buckingham pi theorem to determine the minimum number of dimensionless groups needed to describe a phenomenon in terms of the variables involved.
2. For a model to accurately simulate a prototype system, the dimensionless pi groups that describe the phenomenon must be equal between the model and prototype. This establishes the modeling laws or similarity requirements that a model must satisfy.
3. Common dimensionless groups in fluid mechanics include the Reynolds number, Froude number, Strouhal number, and Weber number. These groups arise frequently in analyzing experimental data from fluid mechanics problems.
Relationship between hansch analysis and free wilson analysisKomalJAIN122
This document provides an overview of quantitative structure-activity relationship (QSAR) modeling techniques including Hansch analysis, Free-Wilson analysis, and Topliss schemes. It discusses how QSAR relates the biological activity of drugs to their physicochemical properties through equations. Specifically, it explains that Hansch equations relate activity to hydrophobicity, electronic effects, and steric factors. Examples of Hansch equations are provided. The Free-Wilson approach derives equations based on the presence or absence of substituents. Topliss schemes provide a methodical approach to substituent selection for optimization.
This document discusses dimensional analysis, which is a mathematical technique used in fluid mechanics to reduce the number of variables in a problem by combining dimensional variables to form non-dimensional parameters. Dimensional analysis allows problems to be expressed in terms of non-dimensional parameters to show the relative significance of each parameter. It has various uses including checking dimensional homogeneity of equations, deriving equations, planning experiments, and analyzing complex flows using scale models. The Buckingham π theorem states that any relationship between physical quantities can be written as a relationship between dimensionless pi groups formed from the variables. Dimensional analysis is applied by setting up a dimensional matrix to determine the minimum number of pi groups needed to describe the relationship.
The document discusses chemical kinetics, which examines the rates of chemical reactions and how they are influenced by conditions like concentration, temperature, and catalysts. It defines key terms like the rate of reaction, average rate, and instantaneous rate. The rate of reaction depends on factors like the concentrations of reactants, temperature, phase, and presence of catalysts or inhibitors. Reaction rate laws relate the reaction rate to concentrations and determine the order of reactions. Differential and integrated rate equations are also discussed.
This document discusses quantitative structure-activity relationship (QSAR) modeling and 3D-QSAR techniques. It explains that QSAR aims to find consistent relationships between biological activity and molecular properties in order to predict activity of new compounds. It also describes several common 3D-QSAR software programs and techniques, including CoMFA, VolSurf, Catalyst, and DOCK, and provides examples of their applications to modeling various cytochrome P450 enzymes.
1) A rate equation summarizes the rate of reaction based on changes in reactant concentrations and can take the form of Rate = k[A]n[B]m, where k is the rate constant, n and m are orders of the reaction with respect to reactants A and B, and the overall order is n+m.
2) The rate equations and their graphical representations are different for zero order (rate is independent of concentration), first order (rate is proportional to concentration), and second order (rate is proportional to concentration squared) reactions.
3) The order of reactants in a rate equation can be determined experimentally by measuring rates at different initial concentrations.
The document discusses dimensional analysis and modeling. It covers:
1) The seven primary dimensions used in physics - mass, length, time, temperature, current, amount of light, and amount of matter. All other dimensions can be formed from combinations of these.
2) Dimensional homogeneity, which requires that every term in an equation must have the same dimensions.
3) Nondimensionalization, which involves dividing terms by variables and constants to render the equation dimensionless. This produces dimensionless parameters like the Reynolds and Froude numbers.
4) Similarity between models and prototypes in experiments, which requires geometric, kinematic, and dynamic similarity achieved by matching dimensionless groups.
1) The document discusses the relationship between transforming entangled quantum states via local operations and classical communication (LOCC) and the theory of majorization from linear algebra.
2) Nielsen's theorem states that one entangled state can be transformed into another via LOCC if and only if the vector of eigenvalues of one state is majorized by the vector of eigenvalues of the other state.
3) The proof of Nielsen's theorem relies on five key properties, including that any two-way classical communication in an LOCC protocol can be simulated by a one-way communication protocol.
Calculando o tensor de condutividade em materiais topológicosVtonetto
This document describes a new efficient numerical method to calculate the longitudinal and transverse conductivity tensors in solids using the Kubo-Bastin formula. The method expands Green's functions in terms of Chebyshev polynomials, allowing both diagonal and off-diagonal conductivities to be computed for large systems in a single step at any temperature or chemical potential. The method is applied to calculate the conductivity tensor for the quantum Hall effect in disordered graphene and a Chern insulator in Haldane's model on a honeycomb lattice.
Chemical kinematics deals with the rates of chemical reactions and their mechanisms. The rate constant in a rate law, such as the rate law d[A]/dt = k[A], is independent of concentration but depends on factors like temperature. The order of a reaction is the sum of the powers of the concentration terms in its rate equation. Common orders of reaction include zero-order, where the rate is independent of reactant concentration, first-order, where the rate depends on one concentration term, and second-order, where the rate depends on two concentration terms. Higher order reactions are also possible but are more complex.
The document discusses chemical kinetics and reaction rates. It provides information on:
- The study of rates of chemical reactions and reaction mechanisms (chemical kinetics).
- How reaction rates are expressed in terms of changes in reactant/product concentrations over time.
- Factors that influence reaction rates such as concentration, temperature, and surface area.
- Collision theory and how effective collisions between reactant particles lead to reactions.
- Reaction orders, rate laws, and how to determine the order of reactions based on experimental rate data.
This document summarizes a theoretical study of a two-species Bose-Einstein condensate loaded into an optical lattice. The study finds that quantum fluctuations destroy long-range coherence between atoms in different lattice sites. For miscible atoms, fluctuations reduce inter- and intra-species coherence and on-site atom number fluctuations. For immiscible atoms, fluctuations enhance number fluctuations, reduce coherence, and cause spontaneous formation of interleaved spatial domains of each species with fluctuating domain lengths depending on quantum effects.
Systematic Study Multiplicity Production Nucleus – Nucleus Collisions at 4.5 ...IOSRJAP
The correlations between the multiplicity distributions and the projectile fragments, as well as the correlation between the black and grey fragments were given. We observed that the mean number of interacting projectile nucleons increases quickly as the value of heavily ionizing charged particles increase as expected but attains a more or less constant value for extreme central collisions. Finally, there is no distinct correlation between the shower particle production and the target excitation, but the average value of grey particles decreases with the increase of the number of black particles and vice versa. This correlation can also be explained by the fireball model.
The document discusses further developing the solvent model parameterization in the ONETEP software for recent exchange-correlation functionals. It aims to re-examine the parameters established previously using outdated approximations and to compare results using functionals like VV10 and B97M-V to PBE and LDA. The author finds the exchange functional makes little difference to solvation energy accuracy. Parameters may need minor adjustments and more research is needed, particularly for anions. Validation of the model for 60 molecules using different functionals finds B3LYP and B97M-V have the lowest error compared to experiment.
The document provides an overview of dimensional analysis and its applications in fluid mechanics. Dimensional analysis is a tool used to correlate analytical and experimental results and predict prototype behavior from model measurements. It involves identifying the fundamental dimensions of variables (e.g. mass, length, time) and establishing dimensionless relationships between variables using methods like Rayleigh's or Buckingham's π-theorem. Dimensional analysis is important for model analysis where dynamic similarity between a model and prototype must be achieved. The document discusses different model laws used to design models for similarity based on dominant forces like viscosity, gravity, etc. It also provides scale ratios required for geometric, kinematic and dynamic similarity.
Buckingham's Π theorem is a method of dimensional analysis that arranges variables in a physical problem into dimensionless groups (Π terms) to reduce the number of variables. It works when the total number of variables (n) is greater than the number of fundamental dimensions (m) involved. The example problem applies the method to determine the drag force (FD) on a sphere moving through a fluid based on variables like sphere diameter (D), velocity (V), fluid density (ρ), and viscosity (μ). Following steps of listing variables, determining n and m, forming Π groups, and solving for exponents to satisfy dimensionality, two dimensionless groups Π1 = FD/(ρV2D2) and
Miscibility and Thermodynamics of Polymer BlendsAbhinand Krishna
Presentation includes classification of polymer blends based on miscibility, phase diagram of polymer blends and thermodynamics polymer blends which includes Gibbs energy theory and Flory-Huggins Theory
This document discusses kinetics and order of reactions. It defines zero, first, and second order reactions based on how the rate of reaction depends on the concentrations of reactants. Zero order reactions have rates independent of concentrations. First order rates depend on one concentration. Second order can depend on two concentrations. Methods for determining reaction order include substitution, initial rates, plotting data, and half-life determination. Complex reactions with opposing, consecutive, or parallel pathways are also discussed.
Similitude and Dimensional Analysis -Hydraulics engineering Civil Zone
This document discusses similitude and dimensional analysis for model testing in hydraulic engineering. It introduces key concepts like similitude, prototype, model, geometric similarity, kinematic similarity, dynamic similarity, dimensionless numbers, and model laws. Reynolds model law is described in detail, which states that the Reynolds number must be equal between the model and prototype for problems dominated by viscous forces, such as pipe flow. An example problem demonstrates how to calculate the velocity and flow rate in a hydraulic model based on given prototype parameters and Reynolds model law.
Dimensional analysis is a mathematical technique used to establish relationships between physical quantities in fluid phenomena. It involves considering the dimensions of quantities and grouping dimensionless parameters to better understand flows. Dimensional analysis provides guidance for experimental work by indicating important influencing factors. It is applied to develop equations, convert between units, reduce experimental variables, and enable model studies through similitude. The key concepts are that theoretical equations must be dimensionally homogeneous and empirical equations have limited applications. Dimensional analysis methods include Rayleigh's method of exponential relationships and Buckingham's Π-method of grouping variables into dimensionless terms.
1. Dimensional analysis and the concept of similitude allow experiments using scale models to be used to study full-scale systems. Dimensional analysis uses Buckingham pi theorem to determine the minimum number of dimensionless groups needed to describe a phenomenon in terms of the variables involved.
2. For a model to accurately simulate a prototype system, the dimensionless pi groups that describe the phenomenon must be equal between the model and prototype. This establishes the modeling laws or similarity requirements that a model must satisfy.
3. Common dimensionless groups in fluid mechanics include the Reynolds number, Froude number, Strouhal number, and Weber number. These groups arise frequently in analyzing experimental data from fluid mechanics problems.
Relationship between hansch analysis and free wilson analysisKomalJAIN122
This document provides an overview of quantitative structure-activity relationship (QSAR) modeling techniques including Hansch analysis, Free-Wilson analysis, and Topliss schemes. It discusses how QSAR relates the biological activity of drugs to their physicochemical properties through equations. Specifically, it explains that Hansch equations relate activity to hydrophobicity, electronic effects, and steric factors. Examples of Hansch equations are provided. The Free-Wilson approach derives equations based on the presence or absence of substituents. Topliss schemes provide a methodical approach to substituent selection for optimization.
This document discusses dimensional analysis, which is a mathematical technique used in fluid mechanics to reduce the number of variables in a problem by combining dimensional variables to form non-dimensional parameters. Dimensional analysis allows problems to be expressed in terms of non-dimensional parameters to show the relative significance of each parameter. It has various uses including checking dimensional homogeneity of equations, deriving equations, planning experiments, and analyzing complex flows using scale models. The Buckingham π theorem states that any relationship between physical quantities can be written as a relationship between dimensionless pi groups formed from the variables. Dimensional analysis is applied by setting up a dimensional matrix to determine the minimum number of pi groups needed to describe the relationship.
The document discusses chemical kinetics, which examines the rates of chemical reactions and how they are influenced by conditions like concentration, temperature, and catalysts. It defines key terms like the rate of reaction, average rate, and instantaneous rate. The rate of reaction depends on factors like the concentrations of reactants, temperature, phase, and presence of catalysts or inhibitors. Reaction rate laws relate the reaction rate to concentrations and determine the order of reactions. Differential and integrated rate equations are also discussed.
This document discusses quantitative structure-activity relationship (QSAR) modeling and 3D-QSAR techniques. It explains that QSAR aims to find consistent relationships between biological activity and molecular properties in order to predict activity of new compounds. It also describes several common 3D-QSAR software programs and techniques, including CoMFA, VolSurf, Catalyst, and DOCK, and provides examples of their applications to modeling various cytochrome P450 enzymes.
1) A rate equation summarizes the rate of reaction based on changes in reactant concentrations and can take the form of Rate = k[A]n[B]m, where k is the rate constant, n and m are orders of the reaction with respect to reactants A and B, and the overall order is n+m.
2) The rate equations and their graphical representations are different for zero order (rate is independent of concentration), first order (rate is proportional to concentration), and second order (rate is proportional to concentration squared) reactions.
3) The order of reactants in a rate equation can be determined experimentally by measuring rates at different initial concentrations.
The document discusses dimensional analysis and modeling. It covers:
1) The seven primary dimensions used in physics - mass, length, time, temperature, current, amount of light, and amount of matter. All other dimensions can be formed from combinations of these.
2) Dimensional homogeneity, which requires that every term in an equation must have the same dimensions.
3) Nondimensionalization, which involves dividing terms by variables and constants to render the equation dimensionless. This produces dimensionless parameters like the Reynolds and Froude numbers.
4) Similarity between models and prototypes in experiments, which requires geometric, kinematic, and dynamic similarity achieved by matching dimensionless groups.
1) The document discusses the relationship between transforming entangled quantum states via local operations and classical communication (LOCC) and the theory of majorization from linear algebra.
2) Nielsen's theorem states that one entangled state can be transformed into another via LOCC if and only if the vector of eigenvalues of one state is majorized by the vector of eigenvalues of the other state.
3) The proof of Nielsen's theorem relies on five key properties, including that any two-way classical communication in an LOCC protocol can be simulated by a one-way communication protocol.
Calculando o tensor de condutividade em materiais topológicosVtonetto
This document describes a new efficient numerical method to calculate the longitudinal and transverse conductivity tensors in solids using the Kubo-Bastin formula. The method expands Green's functions in terms of Chebyshev polynomials, allowing both diagonal and off-diagonal conductivities to be computed for large systems in a single step at any temperature or chemical potential. The method is applied to calculate the conductivity tensor for the quantum Hall effect in disordered graphene and a Chern insulator in Haldane's model on a honeycomb lattice.
This document provides an overview of density functional theory and methods for modeling strongly correlated materials. It discusses the limitations of standard DFT approaches like LDA for strongly correlated systems and introduces model Hamiltonians and correction methods like LDA+U, LDA+DMFT, self-interaction correction, and generalized transition state to better account for electron correlation effects. The document outlines the basic theory and approximations of DFT, including Kohn-Sham equations and the local density approximation, and discusses basis set approaches like plane waves, augmented plane waves, and pseudopotentials.
Double General Point Interactions Symmetry and Tunneling TimesMolly Lee
This document presents original research on modeling double point barriers in quantum mechanics using generalized point interactions. It investigates the symmetry properties of double point barriers under parity transformations and derives the necessary conditions for the barriers to have well-defined parity. It also examines the limits of zero interbarrier distance for odd and even arrangements. Finally, it calculates the phase and tunneling times for barriers with defined parity and discusses whether the generalized Hartman effect occurs in the opaque limit.
Monotonicity of Phaselocked Solutions in Chains and Arrays of Nearest-Neighbo...Liwei Ren任力偉
This document summarizes a paper on phaselocked solutions in chains and arrays of coupled oscillators. It introduces the topic of coupled oscillators and their importance in modeling neural activity. It describes previous work analyzing one-dimensional chains of oscillators using continuum approximations. The current paper aims to rigorously prove the existence of phaselocked solutions in chains without requiring a continuum limit. It also analyzes two-dimensional arrays by decomposing them into independent one-dimensional problems under certain frequency distributions. Key results include proving monotonicity of phaselocked solutions and spontaneous formation of target patterns in two-dimensional arrays with isotropic synaptic coupling.
This document summarizes recent results from the STAR experiment regarding correlations and fluctuations in heavy ion collisions at RHIC. It discusses measurements of elliptic and directed flow that provide evidence for local equilibration and pressure gradients in the quark-gluon plasma. HBT interferometry measurements indicate a source elongated perpendicular to the reaction plane, consistent with initial collision geometry. Charge-dependent number correlations reveal modified hadronization in the quark-gluon plasma compared to pp collisions, suggesting local charge conservation effects during hadronization. Overall, the results provide insights into the equilibration and relevant degrees of freedom in the quark-gluon plasma.
- The document is a student research paper that numerically tests whether the negative time derivative of the cross-correlation of ambient noise between two points in a complex medium approximates the impulse response (Green's function) between those points.
- It introduces the theoretical background of using noise cross-correlation to retrieve medium information without using a real source. It then describes testing this theory for a 2D lossy complex medium using numerical modeling and the Finite-Difference Time-Domain method.
- The key variables tested are the number of time steps, random noise sources, and decay in the system to analyze their effects on how well the cross-correlation matches the impulse response.
The document discusses the spectral gap problem in quantum many-body physics. It proves that the spectral gap problem, which is to determine if a quantum system described by a Hamiltonian is gapped or gapless, is undecidable in general. Specifically:
1) The spectral gap problem is algorithmically undecidable, meaning there is no algorithm that can determine if an arbitrary Hamiltonian describes a gapped or gapless system.
2) The spectral gap problem is axiomatically independent, meaning there are Hamiltonians for which the presence or absence of a spectral gap cannot be determined from the axioms of mathematics.
3) The proof constructs families of Hamiltonians with translationally invariant, nearest-neighbor interactions
Jeremy Capps' research focuses on computationally investigating fully interacting quantum systems with spin-orbit interaction. His work models electron systems to include Coulomb interaction and screening effects. He has studied Friedel oscillations in systems with Rashba spin-orbit coupling by calculating the polarization function and charge density response. Capps is currently investigating enhanced spin and charge transport in 2D electron systems with spin-orbit interaction, where an antiferromagnetic ordering leads to an energy gap and improved thermoelectric properties. Future work will continue exploring exotic phenomena in 2D quantum systems due to spin-orbit interactions and calculating thermoelectric coefficients.
Dynamics of Twointeracting Electronsinthree-Dimensional LatticeIOSR Journals
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International journal of engineering and mathematical modelling vol2 no1_2015_2IJEMM
This document summarizes the homogenization of Maxwell's equations for electromagnetic wave propagation through complex, periodically heterogeneous media. It introduces the heterogeneous and homogenized problems, defines the relevant function spaces, and proves the existence and uniqueness of solutions. Most importantly, it derives the effective homogenized material parameters through a two-scale convergence approach, expressing them in terms of the microscale material properties and solutions to local cell problems. Numerical implementation of the homogenized problem and example simulations are also briefly mentioned.
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This document summarizes an experiment probing spin dynamics in a dipolar atomic Bose gas across the Mott insulating to superfluid transition in an optical lattice. Three key findings are:
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The Milky Way’s (MW) inner stellar halo contains an [Fe/H]-rich component with highly eccentric orbits, often referred to as the
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collided with the MW proto-disc 8–11 Gyr ago, and the Virgo Radial Merger (VRM), where the progenitor collided with the
MW disc within the last 3 Gyr. These two scenarios make different predictions about observable structure in local phase space,
because the morphology of debris depends on how long it has had to phase mix. The recently identified phase-space folds in Gaia
DR3 have positive caustic velocities, making them fundamentally different than the phase-mixed chevrons found in simulations
at late times. Roughly 20 per cent of the stars in the prograde local stellar halo are associated with the observed caustics. Based
on a simple phase-mixing model, the observed number of caustics are consistent with a merger that occurred 1–2 Gyr ago.
We also compare the observed phase-space distribution to FIRE-2 Latte simulations of GSE-like mergers, using a quantitative
measurement of phase mixing (2D causticality). The observed local phase-space distribution best matches the simulated data
1–2 Gyr after collision, and certainly not later than 3 Gyr. This is further evidence that the progenitor of the ‘last major merger’
did not collide with the MW proto-disc at early times, as is thought for the GSE, but instead collided with the MW disc within
the last few Gyr, consistent with the body of work surrounding the VRM.
When I was asked to give a companion lecture in support of ‘The Philosophy of Science’ (https://shorturl.at/4pUXz) I decided not to walk through the detail of the many methodologies in order of use. Instead, I chose to employ a long standing, and ongoing, scientific development as an exemplar. And so, I chose the ever evolving story of Thermodynamics as a scientific investigation at its best.
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We present the JWST discovery of SN 2023adsy, a transient object located in a host galaxy JADES-GS
+
53.13485
−
27.82088
with a host spectroscopic redshift of
2.903
±
0.007
. The transient was identified in deep James Webb Space Telescope (JWST)/NIRCam imaging from the JWST Advanced Deep Extragalactic Survey (JADES) program. Photometric and spectroscopic followup with NIRCam and NIRSpec, respectively, confirm the redshift and yield UV-NIR light-curve, NIR color, and spectroscopic information all consistent with a Type Ia classification. Despite its classification as a likely SN Ia, SN 2023adsy is both fairly red (
�
(
�
−
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)
∼
0.9
) despite a host galaxy with low-extinction and has a high Ca II velocity (
19
,
000
±
2
,
000
km/s) compared to the general population of SNe Ia. While these characteristics are consistent with some Ca-rich SNe Ia, particularly SN 2016hnk, SN 2023adsy is intrinsically brighter than the low-
�
Ca-rich population. Although such an object is too red for any low-
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cosmological sample, we apply a fiducial standardization approach to SN 2023adsy and find that the SN 2023adsy luminosity distance measurement is in excellent agreement (
≲
1
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) with
Λ
CDM. Therefore unlike low-
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Ca-rich SNe Ia, SN 2023adsy is standardizable and gives no indication that SN Ia standardized luminosities change significantly with redshift. A larger sample of distant SNe Ia is required to determine if SN Ia population characteristics at high-
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truly diverge from their low-
�
counterparts, and to confirm that standardized luminosities nevertheless remain constant with redshift.
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It's based on the first part of this research paper:
The cost of information acquisition by natural selection
Ryan Seamus McGee, Olivia Kosterlitz, Artem Kaznatcheev, Benjamin Kerr, Carl T. Bergstrom
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PPT on Direct Seeded Rice presented at the three-day 'Training and Validation Workshop on Modules of Climate Smart Agriculture (CSA) Technologies in South Asia' workshop on April 22, 2024.
1. Theoretical and Mathematical Physics manuscript No.
(will be inserted by the editor)
Density Density Correlation Function of Strongly Inhomogeneous Luttinger
Liquids
Nikhil Danny Babu*, Joy Prakash Das †
, Girish S. Setlur*
Abstract In this work, we show in pedagogical detail that the most singular contributions to the slow
part of the asymptotic density-density correlation function of Luttinger liquids with fermions interacting
mutually with only short-range forward scattering and also with localised scalar static impurities (where
backward scattering takes place) has a compact analytical expression in terms of simple functions that have
second order poles and involve only the scale-independent bare transmission and reflection coefficients. This
proof uses conventional fermionic perturbation theory resummed to all orders, together with the idea that
for such systems, the (connected) moments of the density operator all vanish beyond the second order
- the odd ones vanish identically and the higher order even moments are less singular than the second
order moment which is the only one included. This important result is the crucial input to the recently
introduced “Non-Chiral Bosonization Technique” (NCBT) to study such systems. The results of NCBT
cannot be easily compared with the results obtained using conventional bosonization as the former only
extracts the most singular parts of the correlation functions albeit for arbitrary impurity strengths and
mutual interactions. The latter, ambitiously attempts to study all the parts of the asymptotic correlation
functions and is thereby unable to find simple analytical expressions and is forced to operate in the vicinity
of the homogeneous system or the half line (the opposite extreme). For a fully homogeneous system or its
antithesis viz. the half-line, all the higher order connected moments of the density vanish identically which
means the results of chiral bosonization and NCBT ought to be the same and indeed they are.
Keywords Luttinger Liquid · Correlation functions · Bosonization
PACS 71.10.Pm, 73.21.Hb, 11.15.Tk
1 Introduction
The presence of impurities in one dimensional systems continues to be a challenging problem in quantum
many body physics [19,2,6,16,20,18,17]. A good number of analytical [11,21,19,18,27] and numerical ap-
proaches [25,14,8,7,22] have made their mark in the long history of strongly correlated 1D systems. Kane
and Fisher in their seminal works [19,18] have shown how the nature of the electron-electron interactions(
i.e repulsive or attractive) affect the transport properties across barriers or constrictions in a single-channel
Luttinger liquid. They elucidated that for repulsive interactions the electrons are always reflected by a weak
link and for attractive interactions the electrons are transmitted even through a strong barrier. In [17] they
studied the effect of electron interactions on resonant tunneling in presence of a double barrier and showed
that the resonances are of non-Lorentzian line shapes with a width that vanishes as T → 0, in striking
contrast to the noninteracting one dimensional electron gas. However,the exact analytical expressions of
the correlation functions of such systems with arbitrary strength of mutual interactions and in presence
of a scatterer of arbitrary strength are yet to be a part of the literature. Nevertheless, the attempts to
reach this central goal of calculating the most general result has led to many peripheral results where the
arbitrariness of one or more parameters had to be compromised. The most prevalent analytical tool to deal
with these systems, which belong to the universal class of Luttinger liquids [13], is bosonization where a
fermion field operator is expressed as the exponential of a bosonic field [10,31]. However the results of this
method are exact only for the extreme cases of very weak impurity and very strong impurity (apart from
some isolated examples such as the Bethe ansatz solutions [26,12]) and to deal with the general result one
has to rely on perturbative approach in terms of the impurity strength (or inter-chain hopping in the other
extreme) and renormalize the series to obtain a finite answer [19].
A recently developed alternative to this, which goes by the name ‘Non chiral bosonization technique
(NCBT)’, does a better job of avoiding RG methods and tackling impurities of arbitrary strengths [5,
† Department of Condensed Matter Physics and Material Sciences, S. N. Bose National Center for Basic Sciences
Block-JD, Sector-III, Salt Lake, Kolkata 700098, India
*Department of Physics, Indian Institute of Technology Guwahati
Guwahati, Assam 781039, India
E-mail: gsetlur@iitg.ac.in
2. 2 Nikhil Danny Babu*, Joy Prakash Das †, Girish S. Setlur*
4]. But it can yield only the most singular part of the Green functions. On the other hand, Matveev et al.
[21] dealt with impurities of arbitrary strengths using fermionic renormalization only and without using
bosonization methods. However, their results are valid only for weak strengths of mutual interactions be-
tween the fermions.
The study of the density correlations of a Luttinger liquid is important, which is well reflected in the liter-
ature. Iucci et al. obtained a closed-form analytical expression for the zero-temperature Fourier transform
of the 2kF component of the density-density correlation function in a spinful Luttinger liquid [15]. Schulz
studied the density correlations in a one dimensional electron gas interacting with long ranged Coulomb
forces and calculated the 4kF component of the density which decays extremely slowly and represents a 1D
Wigner crystal [28]. Parola presented an exact analytical evaluation of the asymptotic spin-spin correlations
of the 1D Hubbard model with infinite on-site interaction (U → ∞) and away from half filling [23]. Their
results suggested that the renormalization-group scaling to the Tomonaga-Luttinger model is exact in the
U → ∞ Hubbard model. Stephan et al. calculated the dynamical density-density correlation function for
the one-dimensional, half-filled Hubbard model extended with nearest-neighbor repulsion for large on-site
repulsion compared to hopping amplitudes [30]. Caux et al. studied the dynamical density density corre-
lations in a 1D Bose gas with a delta function interaction using a Bethe-ansatz-based numerical method
[3]. Gambetta et al. have done a study of the correlation functions in a one-channel finite size Luttinger
liquid quantum dot [9]. Protopopov et al. investigated the four-point correlations of a Luttinger liquid in
a non-equilibrium setting [24]. In [29] Sen et al. performed a numerical study of the Luttinger liquid type
behaviour of the density-density correlation functions in the lattice Calogero-Sutherland model. Aristov
analyzed the modified density-density correlations when curvature in the fermionic dispersion is present [1].
In this work, it is shown that the most singular contributions (precise meaning defined later) of the slow
part of the density density correlation functions of a spinful Luttinger liquid (also spinless) with short-
range forward scattering mutual interactions in presence of localized static scalar impurities is shown to be
expressible in terms of elementary functions of positions and times which involve only second order poles
and also involve only the bare reflection and transmission coefficients of a single particle in the presence of
these impurities.
2 The Model
Consider a quantum system that comprises a 1D gas of electrons with forward scattering short-range
mutual interactions and in the presence of a scalar potential V (x) that is localized near an origin. The full
generic-Hamiltonian of the system contains three parts and can be written as follows.
H = H0 + Himp + Hfs (1)
where H0 is the Hamiltonian of free fermions and Himp is that of the impurity (or impurities). This has
an asymptotic form in terms of its Green function. Hfs is that of short-range forward scattering mutual
interactions between the fermions. Using the linear dispersion relations near the Fermi level (E = EF +kvF )
one can write,
H0 = −ivF dx
σ=↑,↓
(: ψ†
R(x, σ)∂xψR(x, σ) : − : ψ†
L(x, σ)∂xψL(x, σ) :) (2)
and the impurity Hamiltonian is given to be in Hermitian form as follows (the expression below taken at
face value is ill-defined and a regularization procedure is implied as discussed below).
Himp =V0
σ=↑,↓
(ψ†
R(0, σ)ψR(0, σ) + ψ†
L(0, σ)ψL(0, σ)) + V1
σ=↑,↓
ψ†
R(0, σ)ψL(0, σ) + V ∗
1
σ=↑,↓
ψ†
L(0, σ)ψR(0, σ) (3)
where the subscripts R (ν = +1) and L (ν = −1) are the usual right and left movers. The impurity
hamiltonian in equation (3) is ambiguous without proper regularisation. The point of view taken here is
that the meaning of equation (3) is indirectly fixed by demanding that the Green function of H0 + Himp
be given by equation (4). The Green function of this Hamiltonian H0 + Himp may be written as,
< T ψν(x, σ, t)ψ†
ν
(x , σ , t ) >0 ≡ δσ,σ
γ,γ =±1
Gν,ν
γ,γ
(x, t; x , t ) θ(γx)θ(γ x ) (4)
where θ(x > 0) = 1, θ(x < 0) = 0 and θ(0) = 1
2 is Heaviside’s step function. It can be shown that
Gν,ν
γ,γ
(x, t; x , t ) =
gγ,γ (ν, ν )
νx − ν x − vF (t − t )
(5)
3. Density Density Correlation Function of Strongly Inhomogeneous Luttinger Liquids 3
The complex numbers gγ,γ (ν, ν ) may be related to V0 and V1, alternatively, to the (bare) transmission (T)
and reflection (R) amplitudes. In terms of the reflection and transmission amplitudes, we have
gγ1,γ2 (ν1, ν2) =
i
2π
δν1,ν2 δγ1,γ2 + (Tδν1,ν2 + Rδν1,−ν2 )δγ1,ν1 δγ2,−ν2 + (T∗
δν1,ν2 + R∗
δν1,−ν2 )δγ1,−ν1 δγ2,ν2
(6)
These amplitudes may also be related to the details of the impurity potentials. The relation between V0, V1 in
equation (3) to the bare transmission and reflection amplitudes is given by (see Appendix E for derivation),
V0 =
2i vF (T − T∗
)
2TT∗ + T + T∗
V1 = V ∗
1 = −
4i vF R∗
T
2TT∗ + T + T∗
=
4i vF RT∗
2TT∗ + T + T∗
(7)
The slow part of the asymptotic density-density correlation may be written down using Wick’s theorem as
(after subtracting the uncorrelated average product: ˜ρs = ρs− < ρs >),
< T ˜ρs(x, σ, t)˜ρs(x , σ , t ) >0 = − δσ,σ
γ,γ =±1 ν,ν =±1
|gγ,γ (ν, ν )|2
θ(γx)θ(γ x )
(νx − ν x − vF (t − t ))2
= −
δσ,σ
(2π)2
( sgn(x1)sgn(x2)
|R|2
(vF (t1 − t2) + |x1| + |x2|)2
+ sgn(x1)sgn(x2)
|R|2
(vF (t1 − t2) − |x1| − |x2|)2
+
1
(vF (t1 − t2) + x1 − x2)2
+
1
(vF (t1 − t2) − x1 + x2)2
)
(8)
where,
ρs(x, σ, t) = (: ψ†
R(x, σ, t)ψR(x, σ, t) : + : ψ†
L(x, σ, t)ψL(x, σ, t) :) (9)
In the presence of short-range forward scattering given by the additional piece,
Hfs =
1
2
σ,σ =↑,↓
dx dx v(x − x ) ρs(x, σ, t)ρs(x , σ , t) (10)
it is not possible to write down a simple formula such as equation (8) for the correlation function described
there. The reason is because |gγ,γ (ν, ν )|2
involves only the bare reflection and transmission coefficients -
but in conventional chiral bosonization, they are renormalized to become scale-dependent. Also there is no
guarantee that the function will continue to have simple second order poles as shown in equation (8). The
main claim of the non-chiral bosonization technique (NCBT) is that if one is willing to be content at the most
singular part of this correlation function then it is indeed possible to write down a simple formula very
similar to equation (8) even when short-range forward scattering i.e. equation (10) is present. Furthermore,
this most singular contribution will only involve the bare transmission and reflection coefficients as is the
case in equation (8). This most singular part of the slowly varying asymptotic density-density correlation
(ie. DDCF in presence of equation (10)) is given below and the proof is given in the next section.
T ρs(x1, σ1, t1)ρs(x2, σ2, t2) =
1
4
( T ρh(x1, t1)ρh(x2, t2) + σ1σ2 T ρn(x1, t1)ρn(x2, t2) ) (11)
where,
T ρh(x1, t1)ρh(x2, t2) =
vF
2π2vh ν=±1
−
1
(x1 − x2 + νvh(t1 − t2))2
−
vF
vh
sgn(x1)sgn(x2) |R|2
1−
(vh−vF )
vh
|R|2
(|x1| + |x2| + νvh(t1 − t2))2
T ρn(x1, t1)ρn(x2, t2) =
1
2π2
ν=±1
−
1
(x1 − x2 + νvF (t1 − t2))2
−
sgn(x1)sgn(x2) |R|2
(|x1| + |x2| + νvF (t1 − t2))2
(12)
with vh = v2
F + 2v0vF
π and σ =↑ (+1) and σ =↓ (−1).
One of the main results of NCBT is the assertion that the most singular contribution to < T ˜ρs(x1, σ1, t1)˜ρs(x2, σ2, t2) >
in the presence of short-range forward scattering between fermions viz. equation (10) is given by equation
(11) and equation (12).
4. 4 Nikhil Danny Babu*, Joy Prakash Das †, Girish S. Setlur*
3 Results: Density density correlation function
The density density correlation functions (DDCF) in absence of mutual interactions is given by equation
(8). This has to be systematically transformed to include mutual interactions. Firstly, the space time DDCF
is related to the momentum frequency DDCF as follows (x1 = x2 and x1 = 0 and x2 = 0).
< T ρs(x1, t1; σ1)ρs(x2, t2; σ2) >0=
1
L2
q,q ,n
e−iqx1
e−iq x2
e−wn(t1−t2)
< T ρs(q, n; σ1)ρs(q , −n; σ2) >0
(13)
From this we can obtain the DDCF in momentum and frequency space as follows (here β is the inverse
temperature which comes into the calculation because of converting summation to integration which is
allowed in the zero temperature limit:
n
f(zn) = β
2π f(z)dz where zn = 2π(n+1)
β ).
< T ρs(q, n; σ1)ρs(q , −n; σ2) >0 =
δσ1,σ2
β
(2vF q )(2vF q)|g1,1(1, −1)|2
|wn|(2π)
((vF q)2 + w2
n)((vF q )2 + w2
n)
+
δσ1,σ2
β
2q2
vF
w2
n + (qvF )2
δq+q ,0
L
(2π)
(14)
In Appendix A we show how to recover equation (8) from equation (13) and equation (14). Now the
generating function for an auxiliary field U in presence of mutual interactions between particles given by
v(x1 − x2) can be written as
Z[U] = D[ρ]eiSeff,0[ρ]
e q,n,σ ρq,n,σUq,n,σ
e−i −iβ
0
dt dx1 dx2
1
2
v(x1−x2)ρ(x1,t1;.)ρ(x2,t1;.)
(15)
where S0 is the action of free fermions and
ρ(x1, t1; .) =
1
L q,n
e−iqx
ewnt
ρq,n;.
v(x1 − x2) =
1
L
Q
e−iQ(x1−x2)
vQ
ρ(x1, t1; .) = ρ(x1, t1; ↑) + ρ(x1, t1; ↓)
Thus the generating function can be written as follows.
Z[U] = D[ρ]eiSeff,0[ρ]
e q,n,σ ρq,n,σUq,n,σ
e− q,n
βv0
2L ρq,n;.ρ−q,−n;.
(16)
If one denotes the generating function in absence of interactions as Z0, then
Z0[U] = D[ρ]eiSeff,0[ρ]
e q,n,σ ρq,n,σUq,n,σ
⇒eiSeff,0[ρ]
= D[U ]e− q,n,σ ρq,n,σUq,n,σ Z0[U ]
Inserting in equation (16),
Z[U] = D[ρ] D[U ] Z0[U ] e q,n,σ ρq,n,σ(Uq,n,σ−Uq,n,σ)
e− q,n
βv0
2L ρq,n;.ρ−q,−n;.
(17)
Set,
ρq,n,σ =
1
2
ρq,n;. +
1
2
σ σq,n ; Uq,n,σ =
1
2
Uq,n;. +
1
2
σ Wq,n ; Uq,n,σ =
1
2
Uq,n;. +
1
2
σ Wq,n
(18)
Using these relations the generating function can be written as
Z[U] = D[ρ] D[U ] Z0[U ] e
1
4 q,n,σ(ρq,n;.+σ σq,n)((Uq,n;.−Uq,n;.)+σ (Wq,n−Wq,n))
e− q,n
βv0
2L ρq,n;.ρ−q,−n;.
(19)
where in the RPA sense (for the homogeneous system, this choice corresponds to RPA, for the present
steeplechase problem this choice corresponds to the most singular truncation of the RPA generating func-
tion)
Z0[U ] = e
1
2 q,q ,n;σ
<ρq,nρq ,−n
>0 Uq,n;σU
q ,−n;σ (20)
5. Density Density Correlation Function of Strongly Inhomogeneous Luttinger Liquids 5
where < ρq,nρq ,−n >0 is equation (14) with σ1 = σ2. It is to be noted that we have neglected the higher
moments of ρ in Z0[U ] beyond the quadratic as they are less singular than the second moment (see section
4.1). Now,
Z[U] = D[ρ] D[U ] e
1
2 q,q ,n;σ
<ρq,nρq ,−n
>0
1
4
(Uq,n;.+σ Wq,n)(U
q ,−n;.
+σ W
q ,−n
)
e
1
4 q,n,σ(ρq,n;.+σ σq,n)((Uq,n;.−Uq,n;.)+σ (Wq,n−Wq,n))
e− q,n
βv0
2L ρq,n;.ρ−q,−n;.
= D[U ] e
1
2 q,q ,n
<ρq,nρq ,−n
>0
1
2
(Uq,n;.U
q ,−n;.
+Wq,nW
q ,−n
)
D[ρ] e
1
2 q,n(ρq,n;.(Uq,n;.−Uq,n;.)+σq,n(Wq,n−Wq,n))
e− q,n
βv0
2L ρq,n;.ρ−q,−n;.
= D[U ] e
1
4 q,q ,n
<ρq,nρq ,−n
>0 Wq,nWq ,−n e
1
4 q,q ,n
<ρq,nρq ,−n
>0 Uq,n;.U
q ,−n;.
D[ρ] e
1
2 q,n ρq,n;.(Uq,n;.−Uq,n;.)
e− q,n
βv0
2L ρq,n;.ρ−q,−n;.
The last result follows from the extremum condition viz.
ρ−q,−n;. =
L
2βv0
(Uq,n;. − Uq,n;.) (21)
Thus (including only the holon part),
Z[U] = D[U ] e
1
4 q,q ,n
<ρq,nρq ,−n
>0 Uq,n;.U
q ,−n;. e
1
4 q,n
L
2βv0
(U−q,−n;.−U−q,−n;.)(Uq,n;.−Uq,n;.)
(22)
The integration has to be done using the saddle point method. This involves finding the extremum of the
log of the integrand with respect to U which leads to the answer we are looking for. This means,
q
< ρq,nρq ,−n >0 Uq ,−n;. −
L
2βv0
(U−q,−n;. − U−q,−n;.) = 0 (23)
Hence,
β < ρq,nρq ,−n >0=
(2vF q )(2vF q)
((vF q)2 + w2
n)((vF q )2 + w2
n)
|g1,1(1, −1)|2
|wn|(2π) +
2q2
vF
w2
n + (qvF )2
δq+q ,0
L
(2π)
(24)
This means,
(2vF q)
((vF q)2 + w2
n)
q
(2vF q )
((vF q )2 + w2
n)
Uq ,−n;.|g1,1(1, −1)|2
|wn|(2π)
+
2q2
vF
w2
n + (qvF )2
U−q,−n;.
L
(2π)
−
L
2v0
(U−q,−n;. − U−q,−n;.) = 0
(25)
Let,
1
L
q
(2vF q )
((vF q )2 + w2
n)
Uq ,−n;. = un (26)
or,
(2vF q)
((vF q)2 + w2
n)
unL|g1,1(1, −1)|2
|wn|(2π) +
2q2
vF
w2
n + (qvF )2
U−q,−n;.
L
(2π)
−
L
2v0
(U−q,−n;. − U−q,−n;.) = 0
or,
L
2v0
+
L
(2π)
2q2
vF
w2
n + (qvF )2
U−q,−n;. = −
(2vF q)
((vF q)2 + w2
n)
unL|g1,1(1, −1)|2
|wn|(2π) +
L
2v0
U−q,−n;.
This means,
U−q,−n;. = −
(2vF q)
((vF q)2 + w2
n)
unL|g1,1(1, −1)|2
|wn|(2π)
L
2v0
+ L
(2π)
2q2vF
w2
n+(qvF )2
+
L
2v0
U−q,−n;.
L
2v0
+ L
(2π)
2q2vF
w2
n+(qvF )2
(27)
6. 6 Nikhil Danny Babu*, Joy Prakash Das †, Girish S. Setlur*
Set v2
= v2
F + 2vF v0
π .
U−q,−n;. = −(2vF q)
un2v0|g1,1(1, −1)|2
|wn|(2π)
(w2
n + (qv)2)
+
(w2
n + (qvF )2
)U−q,−n;.
(w2
n + (qv)2)
(28)
Hence,
un
1
L
q
(2vF q )2
((vF q )2 + w2
n)(w2
n + (q v)2)
2v0|g1,1(1, −1)|2
|wn|(2π) +
1
L
q
(2vF q )Uq ,−n;.
(w2
n + (q v)2)
= un (29)
Hence,
un =
1
L
q
(2vF q )Uq ,−n;.
1 − 4v0vF
(v+vF )v |g1,1(1, −1)|2(2π) (w2
n + (q v)2)
(30)
or,
q
< ρq,nρq ,−n >0 Uq ,−n;. −
L
2βv0
(U−q,−n;. − U−q,−n;.) = 0 (31)
Hence,
Z[U] = e
1
4 q,n
L
2βv0
(U−q,−n;.−U−q,−n;.)Uq,n;. (32)
U−q,−n;. − U−q,−n;. =
1
L
q
(2vF q )Uq ,−n;.
1 − 4v0vF
(v+vF )v |g1,1(1, −1)|2(2π) (w2
n + (q v)2)
(2vF q)
2v0|g1,1(1, −1)|2
|wn|(2π)
(w2
n + (qv)2)
+ U−q,−n;.
(qv)2
− (qvF )2
w2
n + (qv)2
(33)
But we had
Z[U] = D[U ] e
1
4 q,q ,n
<ρq,nρq ,−n
>0 Uq,n;.U
q ,−n;. e
1
4 q,n
L
2βv0
(U−q,−n;.−U−q,−n;.)(Uq,n;.−Uq,n;.)
This means
Z[U] =e q,n
L
8βv0
Uq,n;.U−q,−n;.
(qvh)2−(qvF )2
w2
n+(qvh)2
e
q,n
L
8βv0
1
L q
(2vF q )Uq,n;.U
q ,−n;.
1−
4v0vF
(vh+vF )vh
|g1,1(1,−1)|2(2π) (w2
n+(q vh)2
)
(2vF q)
2v0|g1,1(1,−1)|2|wn|(2π)
(w2
n+(qvh)2)
(34)
Here,
vh = v2
F +
2vF v0
π
(35)
Since we have,
ρq,n;. = ρq,n;↑ + ρq,n;↓ ; σq,n = ρq,n;↑ − ρq,n;↓ (36)
Thus,
1
4
< ρq,n;.ρq ,−n;. > = δq+q ,0
L
4β
2vF q2
π(w2
n + (qvh)2)
+
1
2β
(2vF q)(2vF q )|g1,1(1, −1)|2
|wn|(2π)
1 − (vh−vF )
vh
|g1,1(1, −1)|2(2π)2 (w2
n + (q vh)2) (w2
n + (qvh)2)
(37)
1
4
< σq,nσq ,−n > =
(2vF q )(2vF q)
2β((vF q)2 + w2
n)((vF q )2 + w2
n)
|g1,1(1, −1)|2
|wn|(2π) +
q2
vF L
2πβ(w2
n + (qvF )2)
δq+q ,0
< σq,nρq ,−n;. > = 0
(38)
7. Density Density Correlation Function of Strongly Inhomogeneous Luttinger Liquids 7
Finally, the full density density correlation functions in momentum frequency space can be written as,
< ρq,n,σρq ,−n,σ >=
1
4
< ρq,n;.ρq ,−n;. > +
1
4
σσ < σq,nσq ,−n > (39)
Doing an inverse Fourier transform of the above we get the DDCF in real space time.
<T ρs(x1, t1; σ)ρs(x2, t2; σ ) >=
−
v2
F
v4
h
sgn(x1)sgn(x2)
β
2π
1
[(t1 − t2) +
|x1|+|x2|
vh
]2
+
β
2π
1
[(t1 − t2) −
|x1|+|x2|
vh
]2
1
2β
|g1,1(1, −1)|2(2π)
1 − 4v0vF
(vh+vF )vh
|g1,1(1, −1)|2(2π)
−
sgn(x1)sgn(x2)
v2
F
β
2π
1
[(t1 − t2) +
|x1|+|x2|
vF
]2
+
β
2π
1
[(t1 − t2) −
|x1|+|x2|
vF
]2
1
2β
|g1,1(1, −1)|2
(2πσσ )
−
vF
4πβv3
h
β
2π
1
[(t1 − t2) +
|x1−x2|
vh
]2
+
β
2π
1
[(t1 − t2) −
|x1−x2|
vh
]2
−
σσ
4πβv2
F
β
2π
1
[(t1 − t2) +
|x1−x2|
vF
]2
+
β
2π
1
[(t1 − t2) −
|x1−x2|
vF
]2
(40)
One can separate the holon and spinon parts of the DDCF and write as follows.
T ρh(x1, t1)ρh(x2, t2) =
vF
2π2vh ν=±1
−
1
(x1 − x2 + νvh(t1 − t2))2
−
vF
vh
sgn(x1)sgn(x2)
|R|2
1−
(vh−vF )
vh
|R|2
(|x1| + |x2| + νvh(t1 − t2))2
T ρn(x1, t1)ρn(x2, t2) =
1
2π2
ν=±1
−
1
(x1 − x2 + νvF (t1 − t2))2
−
sgn(x1)sgn(x2) |R|2
(|x1| + |x2| + νvF (t1 − t2))2
(41)
The full density density correlation functions can thus be written in a compact form as follows.
T ρs(x1, σ1, t1)ρs(x2, σ2, t2) =
1
4
( T ρh(x1, t1)ρh(x2, t2) + σ1σ2 T ρn(x1, t1)ρn(x2, t2) ) (42)
4 Discussion
We have said repeatedly that equation (41) and equation (42) displays the central result of this work,
viz., the most singular part of the density density correlation function of the generic Hamiltonian given in
equation (1). In this section, the key aspects of this result are discussed.
4.1 Gaussian approximation
In equation (20), it is seen that only the quadratic moment of ρ in the Z0[U ] is included, neglecting all the
higher moments. The reason for this is the following. The connected parts of the odd moments ρ vanish
identically (in the RPA limit) and that of the even moments are less singular than the second moment, etc.
For example, the connected 4-density function,
< Tρ(x1)ρ(x2)ρ(x3)ρ(x4) >c ∼ < Tψ(x1)ψ∗
(x2) >< Tψ(x2)ψ∗
(x3) >< Tψ(x3)ψ∗
(x4) >< Tψ(x4)ψ∗
(x1) >
+ permutations
(43)
has only first order poles and no second order poles. The NCBT does not claim to provide the asymptotic
Green functions of strongly inhomogeneous interacting Fermi systems exactly but it does claim to provide
the most singular part of the asymptotic Green functions of strongly inhomogeneous interacting Fermi
systems exactly. However this is not the case for the homogeneous systems (|R| = 0) and half-lines (|R| = 1)
where both the even and the odd moments higher than the quadratic moment of density functions vanishes.
Hence for these extreme cases, the density density correlation functions are not just the most singular part
but the full story. To prove this, a quantity ‘∆’ is defined as follows.
∆ ≡ < T ρs(x1, σ1, t1)ρs(x2, σ2, t2)ρs(x3, σ3, σ3, t3)ρs(x4, σ4, t4) >0
− < T ρs(x1, σ1, t1)ρs(x2, σ2, t2) >0 < T ρs(x3, σ3, t3)ρs(x4, σ4, t4) >0
− < T ρs(x1, σ1, t1)ρs(x3, σ3, t3) >0 < T ρs(x2, σ2, t2)ρs(x4, σ4, t4) >0
− < T ρs(x1, σ1, t1)ρs(x4, σ4, t4) >0 < T ρs(x2, σ2, t2)ρs(x3, σ3, t3) >0
(44)
8. 8 Nikhil Danny Babu*, Joy Prakash Das †, Girish S. Setlur*
If ∆ = 0 it means Wick’s theorem is applicable at the level of pairs of fermions which makes the Gaussian
theory valid. So now, the question is whether ∆ is zero or not. Expanding the above expression using
conventional Wick’s theorem and using the form of the Green function shown in equation (4) we have the
following results for various cases.
Case I: All four points on same side (x1 > 0, x2 > 0, x3 > 0, x4 > 0)
We have ρs(x, σ, t) =: ψ†
R(x, σ, t)ψR(x, σ, t) + ψ†
L(x, σ, t)ψL(x, σ, t) : where :: represents normal ordering. For
this case we obtain,
< T ρs(x1, σ, t1)ρs(x2, σ, t2)ρs(x3, σ, t3)ρs(x4, σ, t4) >c =
|R|2|T|2
2π4
×
1
((t3 − t1)vF + x1 + x3)((t3 − t2)vF + x2 + x3)((t4 − t1)vF + x1 + x4)((t4 − t2)vF + x2 + x4)
+
1
((t1 − t2)vF + x1 + x2)((t3 − t2)vF + x2 + x3)((t1 − t4)vF + x1 + x4)((t3 − t4)vF + x3 + x4)
+
1
((t2 − t1)vF + x1 + x2)((t3 − t1)vF + x1 + x3)((t2 − t4)vF + x2 + x4)((t3 − t4)vF + x3 + x4)
+
1
((t2 − t1)vF + x1 + x2)((t2 − t3)vF + x2 + x3)((t4 − t1)vF + x1 + x4)((t4 − t3)vF + x3 + x4)
+
1
((t1 − t2)vF + x1 + x2)((t1 − t3)vF + x1 + x3)((t4 − t2)vF + x2 + x4)((t4 − t3)vF + x3 + x4)
+
1
((t1 − t3)vF + x1 + x3)((t2 − t3)vF + x2 + x3)((t1 − t4)vF + x1 + x4)((t2 − t4)vF + x2 + x4)
(45)
Case II: Three points on same side (x1 < 0, x2 > 0, x3 > 0, x4 > 0)
< T ρs(x1, σ, t1)ρs(x2, σ, t2)ρs(x3, σ, t3)ρs(x4, σ, t4) >c =
|R|2|T|2
2π4
×
−
1
((t1 − t3)vF + x1 − x3)((t3 − t2)vF + x2 + x3)((t1 − t4)vF + x1 − x4)((t4 − t2)vF + x2 + x4)
−
1
((t1 − t2)vF − x1 + x2)((t3 − t2)vF + x2 + x3)((t1 − t4)vF − x1 + x4)((t3 − t4)vF + x3 + x4)
−
1
((t1 − t2)vF + x1 − x2)((t1 − t3)vF + x1 − x3)((t2 − t4)vF + x2 + x4)((t3 − t4)vF + x3 + x4)
−
1
((t1 − t2)vF + x1 − x2)((t2 − t3)vF + x2 + x3)((t1 − t4)vF + x1 − x4)((t4 − t3)vF + x3 + x4)
−
1
((t1 − t2)vF − x1 + x2)((t1 − t3)vF − x1 + x3)((t4 − t2)vF + x2 + x4)((t4 − t3)vF + x3 + x4)
+
1
((t3 − t1)vF + x1 − x3)((t2 − t3)vF + x2 + x3)((t1 − t4)vF − x1 + x4)((t2 − t4)vF + x2 + x4)
(46)
9. Density Density Correlation Function of Strongly Inhomogeneous Luttinger Liquids 9
Case III: Two points on same side (x1 < 0, x2 < 0, x3 > 0, x4 > 0)
< T ρs(x1, σ, t1)ρs(x2, σ, t2)ρs(x3, σ, t3)ρs(x4, σ, t4) >c =
|R|2|T|2
4π4
−
1
((t1 − t3)vF + x1 − x3)((t3 − t2)vF − x2 + x3)((t1 − t4)vF + x1 − x4)((t2 − t4)vF + x2 − x4)
−
2
((t3 − t2)vF + x2 − x3)((t1 − t3)vF − x1 + x3)((t1 − t4)vF − x1 + x4)((t2 − t4)vF − x2 + x4)
−
1
((t2 − t3)vF + x2 − x3)((t3 − t1)vF − x1 + x3)((t1 − t4)vF + x1 − x4)((t2 − t4)vF + x2 − x4)
+
R∗2T2
4π4
−
1
((t1 − t2)vF + x1 + x2)((t1 − t3)vF + x1 − x3)((t2 − t4)vF − x2 + x4)((t3 − t4)vF + x3 + x4)
−
1
((t1 − t2)vF + x1 + x2)((t2 − t3)vF − x2 + x3)((t1 − t4)vF + x1 − x4)((t4 − t3)vF + x3 + x4)
−
1
((t2 − t1)vF + x1 + x2)((t1 − t3)vF − x1 + x3)((t2 − t4)vF + x2 − x4)((t4 − t3)vF + x3 + x4)
−
1
((t2 − t1)vF + x1 + x2)((t2 − t3)vF + x2 − x3)((t1 − t4)vF − x1 + x4)((t3 − t4)vF + x3 + x4)
+
R2T∗2
4π4
−
1
((t1 − t2)vF + x1 + x2)((t1 − t3)vF + x1 − x3)((t2 − t4)vF − x2 + x4)((t3 − t4)vF + x3 + x4)
−
1
((t1 − t2)vF + x1 + x2)((t2 − t3)vF − x2 + x3)((t1 − t4)vF + x1 − x4)((t4 − t3)vF + x3 + x4)
−
1
((t2 − t1)vF + x1 + x2)((t1 − t3)vF − x1 + x3)((t2 − t4)vF + x2 − x4)((t4 − t3)vF + x3 + x4)
−
1
((t2 − t1)vF + x1 + x2)((t2 − t3)vF + x2 − x3)((t1 − t4)vF − x1 + x4)((t3 − t4)vF + x3 + x4)
(47)
Now it is easy to see that for all the three possible cases above, the fourth moment of density will vanish
when either of |R| or |T| vanishes. Hence the Gaussian theory is exact for a homogeneous system and a half
line. For all intermediate cases (0 < |R| < 1), the fourth moment (and similarly the higher even moments)
are less singular with first order poles as compared to the second moment which contains second order
poles. Also note that all the above cases were done for all the four spins to be identical. If any one of them
is different, then all the results on the RHSs of the above cases will also vanish.
4.2 Relation between fast and slow parts of DDCF
In the RPA sense, the density ρ(x, σ, t) may be “harmonically analysed” as follows.
ρ(x, σ, t) = ρs(x, σ, t) + e2ikF x
ρf (x, σ, t) + e−2ikF x
ρ∗
f (x, σ, t) (48)
Here ρs and ρf are the slowly varying and the rapidly varying parts respectively. The most singular parts
of the rapidly varying components of the DDCF may be obtained by the following “non-standard harmonic
analysis”
ρf (x, σ, t) ∼ e2πi x
dy(ρs(y,t)+λ ρs(−y,t))
(49)
where λ = 0 or λ = 1 depending upon which correlation function we want to reproduce. The presence
of ρs(−y, t) automatically incorporates (at the level of correlation functions), the presence of localised
impurities in the system. This is unlike the conventional chiral bosonization method where the impurities
lead to non-local hamiltonians whereas the Fermi-Bose correspondence is left untouched. The conventional
method, though correct in principle, is unwieldy and unnatural since the impurities which lead to strong
qualitative changes in the ground state of the system are introduced as an afterthought whereas the short-
range forward scattering which leads only to subtle (but qualitative) changes are treated exactly. NCBT
does a good job of including both but it is still not exact as it can only provide the most singular parts of
the correlation functions in terms of elementary functions of positions and times.
10. 10 Nikhil Danny Babu*, Joy Prakash Das †, Girish S. Setlur*
Furthermore, in NCBT, the field “operator” (only a mnemonic for the correlation functions it generates)
has a modified form which automatically takes into account the presence of impurities.
ψν(x, σ, t) ∼ eiΞν (x,σ,t)
;
Ξν(x, σ, t) ≡ θν(x, σ, t) + 2πλν
x
dy ρs(−y, σ, t)
(50)
where ν = R, L and λ = 0, 1 depending upon which 2-point correlation function we are looking for ( right-
right, right-left, left-right, left-left movers and both points on same (opposite) sides of the origin ) . Also
θν(x, σ, t) is the same as what is found in chiral bosonization. It may be related to currents and densities
and through the continuity equation, finally only to the slow parts of the density.
θν(x, σ, t) = π
x
dy νρs(y, σ, t) −
y
dy ∂vF tρs(y , σ, t) (51)
As usual ρs(y, σ, t) ≡: ψ†
R(y, σ, t)ψR(y, σ, t) + ψ†
L(y, σ, t)ψL(y, σ, t) : Note that unlike in chiral bosonization,
equation (50) is not an operator identity. It is only meant to capture the most singular parts of the two
point functions by employing the following device. We assert that the most singular parts of the 2-point
functions are given by retaining only the leading terms in the cumulant expansion.
< ψν (x, σ, t)ψ†
ν
(x , σ, t ) > ∼ < eiΞν (x,σ,t)
e
−iΞ
ν
(x ,σ,t )
>∼ e− 1
2
<Ξ2
ν (x,σ,t)>
e
− 1
2
<Ξ2
ν
(x ,σ,t )>
e
<Ξν (x,σ,t)Ξ
ν
(x ,σ,t )>
(52)
As long as the symbol < ... > on both sides of the equation equation (52) is read as “most singular part of
the expectation value”, equation (52) is in fact the exact answer for the two-point functions of a strongly
inhomogeneous Luttinger liquid. The higher order terms in the cumulant expansion are purposely dropped
as they can be shown to be less singular (see subsection 4.1).
The other important point worth mentioning is that in chiral bosonization, the 2-point Green functions
in presence of impurities are discontinuous functions of the short-range forward scattering strength. This
means in presence of impurities, the full asymptotic Green functions for weak short-range forward scattering
are qualitatively (discontinuously) different from the corresponding quantities for no short-range forward
scattering. This is the origin of the “cutting the chain” and “healing the chain” metaphors applicable for
repulsive and attractive short-range forward scattering respectively.
However NCBT only yields the most singular part of the asymptotic Green functions. This attribute
exhibits a behaviour complementary to the what is seen in the full Green function. The most singular part
of the 2-point Green functions are discontinuous functions of the impurity strength in presence of short-
range forward scattering between fermions. This means the NCBT Green functions with weak impurities
are qualitatively (ie. discontinuously) different from the corresponding quantity for no impurities.
This is the main reason why the results of chiral bosonization and NCBT cannot be easily compared
with one another as they are fully complementary. The only exception is for a fully homogeneous system
or its antithesis viz. the half line where the two results coincide.
4.3 Obtaining the spinless results
It is easy to transform equation (41) and equation (42) to show the results for the spinless fermions. For
doing so, the density density correlation functions of the holons ρhρh needs to be doubled and that of the
spinons ρnρn are allowed to vanish. The holon velocity in this case will be related to the Fermi velocity
as vh = v2
h + v0vF /π. Hence the density density correlation function for the spinless case is the following.
T ρs(x1, t1)ρs(x2, t2) =
vF
4π2vh ν=±1
−
1
(x1 − x2 + νvh(t1 − t2))2
−
|R|2
1 −
(vh−vF )
vh
|R|2
vF
vh
sgn(x1)sgn(x2)
(|x1| + |x2| + νvh(t1 − t2))2
(53)
5 Comparison with perturbative results
The density density correlation functions of a strongly inhomogeneous Luttinger liquid given by equation
(41) can be verified by a comparison with those obtained using standard fermionic perturbation (the
11. Density Density Correlation Function of Strongly Inhomogeneous Luttinger Liquids 11
comparison for the limiting cases, viz., |R| = 0 and |R| = 1 are given in Appendix B and Appendix C
respectively). The general case viz. 0 < |R| < 1 is given in Appendix D. Since the spinon DDCF is the
same as that of the non-interacting DDCF (it is only the total density that couples with the interaction),
hence it will suffice only to compare the holon DDCF to perturbative results. For this, the holon DDCF
is expanded in powers of the interaction parameter v0. Note that the holon velocity vh is related to the
Fermi velocity and the interaction parameter v0 by the relation vh = vF 1 + 2v0/(πvF ). The holon DDCF
is given as follows.
T ρh(x1, t1)ρh(x2, t2) =
vF
2π2vh ν=±1
−
1
(x1 − x2 + νvh(t1 − t2))2
−
vF
vh
sgn(x1x2) |R|2
1−
(vh−vF )
vh
|R|2
(|x1| + |x2| + νvh(t1 − t2))2
(54)
Expanding in powers of interaction parameter v0 and retaining up to the first order, the following is
obtained.
T ρh(x1, t1)ρh(x2, t2)
= T ρh(x1, t1)ρh(x2, t2) 0
+ v0 T ρh(x1, t1)ρh(x2, t2) 1
+ O[v2
0]
(55)
Now
T ρh(x1, t1)ρh(x2, t2) 0
= −
1
2π2
sgn(x1)sgn(x2)|R|2
(|x1| + |x2| + vF (t1 − t2))2
+
sgn(x1)sgn(x2)|R|2
(|x1| + |x2| − vF (t1 − t2))2
+
1
(x1 − x2 + vF (t1 − t2))2
+
1
(x1 − x2 − vF (t1 − t2))2
(56)
and
T ρh(x1, t1)ρh(x2, t2) 1
=
1
4π3vF
(
|R|2sgn(x1)sgn(x2)(−(|R|2 − 1) |x1| − (|R|2 − 1) |x2| + (|R|2 − 3)vF (t1 − t2))
(|x1| + |x2| + vF (t2 − t1))3
+
|R|2sgn(x1)sgn(x2)
(|x1| + |x2| + vF (t1 − t2))2
+
|R|2sgn(x1)sgn(x2)
(|x1| + |x2| + vF (t2 − t1))2
−
|R|2sgn(x1)sgn(x2)((|R|2 − 1) |x1| + (|R|2 − 1) |x2| + (|R|2 − 3)vF (t1 − t2))
(|x1| + |x2| + vF (t1 − t2))3
+
2vF (t1 − t2)
(t1vF − t2vF + x1 − x2)3
+
2vF (t1 − t2)
(t1vF − t2vF − x1 + x2)3
+
1
(t1vF − t2vF + x1 − x2)2
+
1
(t1vF − t2vF − x1 + x2)2
)
(57)
The first order term viz. equation (57) has to be compared with that obtained using standard fermionic
perturbation theory. Using the perturbative approach, the density density correlation functions in presence
of interactions can be written in terms of the non-interacting ones as follows.
T ρh(x1, t1)ρh(x2, t2) =
TS ρh(x1, t1)ρh(x2, t2) 0
TS 0
(58)
Here T represents the time ordering and the action S can be written as follows.
S = e−i Hfs(t)dt
= 1 − i Hfs(t)dt + .... (59)
Hence the zeroth order term is simply T ρh(x1, t1)ρh(x2, t2) 0 and the first order perturbation term can
be written as follows.
T ρh(x1, t1)ρh(x2, t2) 1
= −i T HI(t1)ρh(x1, t1)ρh(x2, t2) 0dt1
From equation (10) the interacting part of the Hamiltonian can be written as
Hfs(t) =
1
2
∞
−∞
dx
∞
−∞
dx v(x − x ) ρh(x, t)ρh(x , t)
Hence the first order term in the perturbation series can be written as follows.
Tρh(x1, t1)ρh(x2, t2) 1
= −
i
2
dτ dy dy v(y − y ) T ρs(y, τ+)ρs(y , τ)ρh(x1, t1)ρh(x2, t2) 0 (60)
12. 12 Nikhil Danny Babu*, Joy Prakash Das †, Girish S. Setlur*
Here v(y − y ) = v0δ(y − y ) is the short ranged mutual interaction term. The symbol .. 0 on the RHS
indicates single particle functions. The next step is crucial. We wish to only include the most singular
contributions to the exact first order term in Eq.(60). This involves simply pairing up the densities (as
explained in section 4.1). Using equation (60), the most singular contribution up to the first order in
interaction parameter can be obtained as follows:
T ρh(x1, t1)ρh(x2, t2) 1
= −iv0
C
dτ
∞
−∞
dy T ρh(y, τ)ρh(x1, t1) 0 T ρh(y, τ)ρh(x2, t2) 0 (61)
This has been worked out separately for |R| = 0, |R| = 1 and 0 < |R| < 1 in Appendix B, Appendix C and
Appendix D respectively. In Appendix D, the perturbation series to all orders is exhibited in momentum
and frequency space and is explicitly evaluated up to second order in v0.
6 Conclusions
In this work, the most singular contributions of the slow part of the density density correlation functions
of a Luttinger liquid with short-range forward scattering mutual interactions in presence of static scalar
impurities has been rigorously shown to be expressible in terms of elementary functions of positions and
times. This formula has simple second order poles (when the 2-point functions are seen as functions of the
complex variable τ = t − t ). Furthermore, it only involves the bare reflection and transmission coefficients
of a single fermion in presence of the localised impurities.
In chiral bosonization, the 2-point Green functions in presence of impurities are discontinuous functions
of the short-range forward scattering strength. This means in presence of impurities, the full asymptotic
Green functions for weak short-range forward scattering are qualitatively (discontinuously) different from
the corresponding quantities for no short-range forward scattering. This is the origin of the “cutting the
chain” and “healing the chain” metaphors applicable for repulsive and attractive short-range forward scat-
tering respectively.
However NCBT only yields the most singular part of the asymptotic Green functions. This attribute
exhibits a behaviour complementary to the what is seen in the full Green function. The most singular part
of the 2-point Green functions are discontinuous functions of the impurity strength in presence of short-
range forward scattering between fermions. This means the NCBT Green functions with weak impurities
are qualitatively (ie. discontinuously) different from the corresponding quantity for no impurities.
This is the main reason why the results of chiral bosonization and NCBT cannot be easily compared
with one another as they are fully complementary. The only exception is for a fully homogeneous system
or its antithesis viz. the half line where the two results coincide.
APPENDIX A: Fourier transform
In the main text, we are required to show that equation (8) may be recovered from equation (13) and
equation (14). For this we are required to make sense of integrals such as (x = x and x, x = 0),
I0(x − x ) =
q
e−iq(x−x ) 2q2
vF
w2
n + (qvF )2 (A.1)
and
I1(x) =
q
e−iqx 2vF q
w2
n + (qvF )2 (A.2)
We write,
I0(x − x ) =
q
e−iq(x−x )
(
q
iwn + (qvF )
+
q
−iwn + (qvF )
) (A.3)
Set X = x − x . Then,
I0(X) = i
d
dX q
e−iqX
(
1
iwn + (qvF )
+
1
−iwn + (qvF )
) = i
d
dX
I1(X) (A.4)
and
I1(x) =
q
e−iqx
(
1
iwn + (qvF )
+
1
−iwn + (qvF )
) = −
iL sgn(x) e
− |wn| |x|
vF
vF
(A.5)
13. Density Density Correlation Function of Strongly Inhomogeneous Luttinger Liquids 13
Now,
I1(X > 0) = −
iL e
− |wn| X
vF
vF
; I1(X < 0) =
iL e
|wn| X
vF
vF
(A.6)
and
I0(X > 0) = −
|wn|
vF
L e
− |wn| X
vF
vF
; I0(X < 0) = −
|wn|
vF
L e
|wn| X
vF
vF
(A.7)
or
I0(X) = −
L |wn|
v2
F
e
− |wn| |X|
vF (A.8)
Finally we are called upon to transform the Matsubara frequency to (imaginary) time.
J0(x) =
n
e−wnτ
I0(x) ; J1(x) =
n
e−wnτ
I1(x) (A.9)
or,
J0(X) = −
n
e−wnτ L |wn|
v2
F
e
− |wn| |X|
vF ; J1(x) = −
n
e−wnτ iL sgn(x) e
− |wn| |x|
vF
vF
or,
J0(X) =
β
2π
0
−∞
dwn e−wnτ Lwn
v2
F
e
wn |X|
vF −
β
2π
∞
0
dwn e−wnτ Lwn
v2
F
e
− wn |X|
vF
J1(x) = −
β
2π
0
−∞
dwn e−wnτ iL sgn(x) e
wn |x|
vF
vF
−
β
2π
∞
0
dwn e−wnτ iL sgn(x) e
− wn |x|
vF
vF
or,
J0(X) =
β
2π
0
−∞
dwn e−wnτ Lwn
v2
F
e
wn |X|
vF −
β
2π
∞
0
dwn e−wnτ Lwn
v2
F
e
− wn |X|
vF
J1(x) = −
β
2π
0
−∞
dwn e−wnτ iL sgn(x) e
wn |x|
vF
vF
−
β
2π
∞
0
dwn e−wnτ iL sgn(x) e
− wn |x|
vF
vF
or,
J0(X) = −
βL
2π(|X| − τvF )2
−
βL
2π(|X| + τvF )2 (A.10)
J1(x) =
βiL sgn(x)
2π(τvF − |x|)
−
βiL sgn(x)
2π(|x| + τvF )
(A.11)
Thus equation (40) is just some combination of these functions J0, J1.
APPENDIX B: Perturbative comparison for |R| = 0 case
T ρa(x1, t1)ρa(x2, t2) =
vF
2π2va
ν=±1
−
1
(x1 − x2 + νva(t1 − t2))2 (B.1)
where a = n or h,
vh = v2
F +
2vF v0
π
(B.2)
vn = vF
T ρn(x1, t1)ρn(x2, t2) =
1
2π2
ν=±1
−
1
(x1 − x2 + νvF (t1 − t2))2 (B.3)
and T ρn(x1, t1)ρh(x2, t2) = 0. This means T ρn(x1, t1)ρn(x2, t2) 1
= 0.
On the one hand
Simply expanding the full final answer equation (B.1) to first power in v0 we get,
T ρh(x1, t1)ρh(x2, t2) 1
=
v0
2π3vF
(
2vF (t1 − t2)
((t1 − t2)vF + x1 − x2)3
+
2vF (t1 − t2)
((t1 − t2)vF − x1 + x2)3
+
1
((t1 − t2)vF + x1 − x2)2
+
1
((t1 − t2)vF − x1 + x2)2
)
(B.4)
18. 18 Nikhil Danny Babu*, Joy Prakash Das †, Girish S. Setlur*
T ρh(x1, t1)ρh(x2, t2) 1
=
a1,a2=±1
(−i)v0 θ(x1x2)
1
4π4
4πi
(−a1x1 + a2x2 + vF (t1 − t2))3
(t1 − t2)
+
a1,a2=±1
(−i)v0 θ(x1x2)
1
4π4
(
iπ
vF (a1x1 − a2x2 + t1vF − t2vF )2
+
iπ
vF (−a1x1 + a2x2 + t1vF − t2vF )2
)
(C.9)
T ρh(x1, t1)ρh(x2, t2) 1
=
a1,a2=±1
v0
2π3vF
θ(x1x2)
2vF (t1 − t2)
(−a1x1 + a2x2 + vF (t1 − t2))3
+
1
(a1x1 − a2x2 + vF (t1 − t2))2
(C.10)
Hence equation (C.3) matches with equation (C.10)
APPENDIX D: Perturbative comparison for 0 < |R| < 1 case
The conventional method of performing perturbation expansion is the S-matrix method viz. ρs(x1, t1) =
ρs(x1, ↑, t1) + ρs(x1, ↓, t1),
< T ρs(x1, t1)ρs(x2, t2) > =
< T S ρs(x1, t1)ρs(x2, t2) >0
< T S >0
= < T ρs(x1, t1)ρs(x2, t2) >0 −i
C
dt < T Hfs(t) ρs(x1, t1)ρs(x2, t2) >0,c
+
(−i)2
2 C
dt
C
dt < T Hfs(t)Hfs(t ) ρs(x1, t1)ρs(x2, t2) >0,c
(D.1)
where S = e−i C dt Hfs(t)
where Hfs is given by equation (10). Retaining only the most singular terms,
< T ρs(x1, t1)ρs(x2, t2) >=< T ρs(x1, t1)ρs(x2, t2) >0 −iv0
C
dt dy < T ρs(x1, t1)ρs(y, t) >0< T ρs(y, t)ρs(x2, t2) >0
+ v2
0(−i)2
C
dt
C
dt dy dz < T ρs(x1, t1)ρs(z, t) >0 < T ρs(z, t)ρs(y, t ) >0 < T ρs(y, t )ρs(x2, t2) >0 +....
(D.2)
Since we are going beyond leading order, it is more convenient to work in momentum and frequency space.
< T ρs(x1, t1)ρs(x2, t2) >=
1
L2
q,q ,n
e−iqx1
e−iq x2
e−wn(t1−t2)
< ρq,n;.ρq ,−n;. > (D.3)
Thus the most singular parts are captured by the following perturbation series,
< ρq,n;.ρq ,−n;. > = < ρq,n;.ρq ,−n;. >0 −
v0β
L
Q
< ρq,n;.ρQ ,−n;. >0< ρ−Q ,n;.ρq ,−n;. >0
+
v2
0β2
L2
Q ,Q
< ρq,n;.ρQ ,−n;. >0< ρ−Q ,n;.ρQ ,−n;. >0< ρ−Q ,n;.ρq ,−n;. >0 +....
(D.4)
NCBT says that when the above series is summed to all orders we get,
< ρq,n;.ρq ,−n;. >= δq+q ,0
L
β
2vF q2
π(w2
n + (qvh)2)
+
|wn|
πβ
|R|2
1 − (vh−vF )
vh
|R|2
(2vF q)(2vF q )
(w2
n + (q vh)2) (w2
n + (qvh)2)
(D.5)
where vh = v2
F + 2v0vF
π . However when vh = vF (no short-range forward scattering between fermions),
< ρq,n;.ρq ,−n;. >0 = δq+q ,0
L
β
2vF q2
π(w2
n + (qvF )2)
+
|wn|
πβ
|R|2 (2vF q)(2vF q )
(w2
n + (q vF )2) (w2
n + (qvF )2)
(D.6)
19. Density Density Correlation Function of Strongly Inhomogeneous Luttinger Liquids 19
Here we want to verify that this is consistent upto second order. The resummation to all orders has already
been done using the generating function method in the main text. The series equation (D.4) may be
evaluated as follows:
The term proportional to v0 in < ρq,n;.ρq ,−n;. > − < ρq,n;.ρq ,−n;. >0 in the series equation (D.4) is:
−
4Lq2
q 2
v0v2
F δ0,q+q
π2β q2v2
F + w2
n q 2v2
F + w2
n
+
L
∞
−∞
16qq2
1 q |R|4
v0v4
F |wn|2
π2βL(q2v2
F +w2
n)(q2
1 v2
F +w2
n)2
(q 2v2
F +w2
n)
dq1
2π
−
8qq 3
|R|2
v0v3
F |wn|
π2β q2v2
F + w2
n q 2v2
F + w2
n
2
−
8q3
q |R|2
v0v3
F |wn|
π2β q2v2
F + w2
n
2
q 2v2
F + w2
n
(D.7)
This simplifies to,
T1 = −
4qq v0vF Lqq vF (q2
v2
F +w2
n) q 2
v2
F +w2
n δ0,q+q
−|R|2
|wn| q2
q 2
(|R|2
−4)v4
F +(|R|2
−2)v2
F w2
n q2
+q 2
+|R|2
w4
n
π2β q2v2
F + w2
n
2
q 2v2
F + w2
n
2
(D.8)
The term proportional to v2
0 in < ρq,n;.ρq ,−n;. > − < ρq,n;.ρq ,−n;. >0 in the series equation (D.4) is:
8Lq2q4v2
0v3
F δ0,q+q
π3β q2v2
F + w2
n q2v2
F + w2
n q2v2
F + w2
n
+
L
2π
2 ∞
−∞
∞
−∞
64qq Q 2Q 2|R|6v2
0v6
F |wn|3
π3βL2 q2v2
F + w2
n q 2v2
F + w2
n Q 2v2
F + w2
n
2
Q 2v2
F + w2
n
2
dQ dQ
−
L
2π
∞
−∞
32qq Q 3Q |R|4v2
0v5
F |wn|2
π3βL q2v2
F + w2
n q 2v2
F + w2
n Q 2v2
F + w2
n
2
Q 2v2
F + w2
n
dQ
+
L
2π
∞
−∞
32q2(−q)q Q 2|R|4v2
0v5
F |wn|2
π3βL q2v2
F + w2
n q2v2
F + w2
n q 2v2
F + w2
n Q 2v2
F + w2
n
2
dQ
−
L
2π
∞
−∞
32qq 3Q 2|R|4v2
0v5
F |wn|2
π3βL q2v2
F + w2
n q 2v2
F + w2
n
2
Q 2v2
F + w2
n
2
dQ
−
16q2(−q)3q |R|2v2
0v4
F |wn|
π3β q2v2
F + w2
n q2v2
F + w2
n q2v2
F + w2
n q 2v2
F + w2
n
+
16qq 3q 2|R|2v2
0v4
F |wn|
π3β q2v2
F + w2
n q 2v2
F + w2
n
2
q 2v2
F + w2
n
−
16q2(−q)q 3|R|2v2
0v4
F |wn|
π3β q2v2
F + w2
n q2v2
F + w2
n q 2v2
F + w2
n
2
(D.9)
This simplifies to,
T2 =
2qq v2
0
π3β(q2v2
F + w2
n)3(q 2v2
F + w2
n)3
4Lq2
q 2
v3
F (q2
v2
F + w2
n)(q 2
v2
F + w2
n)(qq v2
F − w2
n)δ0,q+q
+ |R|2
|wn| (q4
q 4
(|R|2
(2|R|2
− 11) + 24)v8
F + 2q2
q 2
(|R|2
(2|R|2
− 9) + 12)v6
F w2
n(q2
+ q 2
)
+ 2|R|2
(2|R|2
− 5)v2
F w6
n(q2
+ q 2
) + v4
F w4
n((|R|2
(2|R|2
− 7) + 8)(q4
+ q 4
)
+ 4q2
q 2
(|R|2
(2|R|2
− 7) + 2)) + |R|2
(2|R|2
− 3)w8
n)
(D.10)
It is easy to verify that both T1 and T2 may also be obtained by simply expanding equation (D.5) in powers
of v0 and retaining upto order v2
0.
APPENDIX E: Derivation of formulas for the parameters of the generalized Hamiltonian (VR, VL, V1, V ∗
1 )
in terms of T, R
H0 = − i vF dx (ψ†
R(x)∂xψR(x) − ψ†
L(x)∂xψL(x)) + VRψ†
R(0)ψR(0) + VLψ†
L(0)ψL(0)
+ V1 ψ†
R(0)ψL(0) + V ∗
1 ψ†
L(0)ψR(0)
(E.1)
20. 20 Nikhil Danny Babu*, Joy Prakash Das †, Girish S. Setlur*
Note that we may write V1 = |V1| eiδ
. This phase may be absorbed by a redefinition of the fields ψR(x) →
eiδ
ψR(x) for example. This means V1 can be chosen to be real without loss of generality.
< T ψν(x, t)ψ†
ν
(x , t ) > =
Γν,ν
(x, x )
νx − ν x − vF (t − t )
(E.2)
and
Γν,ν
(x, x ) =
γ,γ =±1
θ(γx)θ(γ x ) gγ,γ (ν, ν ) (E.3)
i∂t < ψν(x, t)ψ†
ν
(x , t ) > = i vF
Γν,ν
(x, x )
(νx − ν x − vF (t − t ))2
(E.4)
i∂t < ψν(x, t)ψ†
ν
(x , t ) > = < [ψν(x, t), H0]ψ†
ν
(x , t ) > (E.5)
or
i∂t < ψν (x, t)ψ†
ν
(x , t ) > = − i vF ν < ∂xψν (x, t)ψ†
ν
(x , t ) >
+ < [ψν (x, t), VRψ†
R(0)ψR(0)]ψ†
ν
(x , t ) > + < [ψν (x, t), VLψ†
L(0)ψL(0)]ψ†
ν
(x , t ) >
+ < [ψν (x, t), V1 ψ†
R(0)ψL(0)]ψ†
ν
(x , t ) > + < [ψν (x, t), V ∗
1 ψ†
L(0)ψR(0)]ψ†
ν
(x , t ) >
or
i vF
Γν,ν (x, x )
(νx − ν x − vF (t − t ))2
= i vF
Γν,ν (x, x )
(νx − ν x − vF (t − t ))2
− i vF ν
[∂xΓν,ν (x, x )]
νx − ν x − vF (t − t )
+ δν,1δ(x) VR < ψR(0, t)ψ†
ν
(x , t ) > +VLδν,−1δ(x) < ψL(0, t)ψ†
ν
(x , t ) >
+ V1δ(x)δν,1 < ψL(0, t)ψ†
ν
(x , t ) > +V ∗
1 δν,−1δ(x) < ψR(0, t)ψ†
ν
(x , t ) >
or
0 = − i vF ν
γ,γ =±1
δ(x)γθ(γ x ) gγ,γ
(ν, ν )
νx − ν x − vF (t − t )
+ δν,1δ(x) VR
Γ1,ν (0, x )
−ν x − vF (t − t )
+ VLδν,−1δ(x)
Γ−1,ν (0, x )
−ν x − vF (t − t )
+ V1δ(x)δν,1
Γ−1,ν (0, x )
−ν x − vF (t − t )
+ V ∗
1 δν,−1δ(x)
Γ1,ν (0, x )
−ν x − vF (t − t )
or
0 = − i vF ν
γ,γ =±1 δ(x)γθ(γ x ) gγ,γ (ν, ν )
−ν x − vF (t − t )
+ δν,1δ(x) VR
γ,γ =±1
1
2 θ(γ x ) gγ,γ (1, ν )
−ν x − vF (t − t )
+ VLδν,−1δ(x)
γ,γ =±1
1
2 θ(γ x ) gγ,γ (−1, ν )
−ν x − vF (t − t )
+ V1δ(x)δν,1
γ,γ =±1
1
2 θ(γ x ) gγ,γ (−1, ν )
−ν x − vF (t − t )
+ V ∗
1 δν,−1δ(x)
γ,γ =±1
1
2 θ(γ x ) gγ,γ (1, ν )
−ν x − vF (t − t )
or
0 =
γ=±1
(−i vF ν γ gγ,γ (ν, ν ) + δν,1 VR
1
2
gγ,γ (1, ν ) + VLδν,−1
1
2
gγ,γ (−1, ν )
+ V1δν,1
1
2
gγ,γ (−1, ν ) + V ∗
1 δν,−1
1
2
gγ,γ (1, ν ))
The above equation gives,
VR = VL =
2i vF (T − T∗
)
2TT∗ + T + T∗
V1 = V ∗
1 = −
4i vF R∗
T
2TT∗ + T + T∗
=
4i vF RT∗
2TT∗ + T + T∗
(E.6)
This automatically means
−R∗
T = RT∗
(E.7)
21. Density Density Correlation Function of Strongly Inhomogeneous Luttinger Liquids 21
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