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  Subjects -> STATISTICS (Total: 130 journals)
Showing 1 - 151 of 151 Journals sorted alphabetically
Advances in Complex Systems     Hybrid Journal   (Followers: 10)
Advances in Data Analysis and Classification     Hybrid Journal   (Followers: 52)
Applied Categorical Structures     Hybrid Journal   (Followers: 5)
Argumentation et analyse du discours     Open Access   (Followers: 8)
Asian Journal of Mathematics & Statistics     Open Access   (Followers: 8)
AStA Advances in Statistical Analysis     Hybrid Journal   (Followers: 2)
Australian & New Zealand Journal of Statistics     Hybrid Journal   (Followers: 13)
Biometrical Journal     Hybrid Journal   (Followers: 9)
Biometrics     Hybrid Journal   (Followers: 53)
British Journal of Mathematical and Statistical Psychology     Full-text available via subscription   (Followers: 18)
Building Simulation     Hybrid Journal   (Followers: 2)
CHANCE     Hybrid Journal   (Followers: 5)
Communications in Statistics - Simulation and Computation     Hybrid Journal   (Followers: 9)
Communications in Statistics - Theory and Methods     Hybrid Journal   (Followers: 11)
Computational Statistics     Hybrid Journal   (Followers: 15)
Computational Statistics & Data Analysis     Hybrid Journal   (Followers: 36)
Current Research in Biostatistics     Open Access   (Followers: 8)
Decisions in Economics and Finance     Hybrid Journal   (Followers: 15)
Demographic Research     Open Access   (Followers: 14)
Engineering With Computers     Hybrid Journal   (Followers: 5)
Environmental and Ecological Statistics     Hybrid Journal   (Followers: 7)
ESAIM: Probability and Statistics     Open Access   (Followers: 4)
Extremes     Hybrid Journal   (Followers: 2)
Fuzzy Optimization and Decision Making     Hybrid Journal   (Followers: 8)
Geneva Papers on Risk and Insurance - Issues and Practice     Hybrid Journal   (Followers: 13)
Handbook of Numerical Analysis     Full-text available via subscription   (Followers: 4)
Handbook of Statistics     Full-text available via subscription   (Followers: 7)
IEA World Energy Statistics and Balances -     Full-text available via subscription   (Followers: 2)
International Journal of Computational Economics and Econometrics     Hybrid Journal   (Followers: 6)
International Journal of Quality, Statistics, and Reliability     Open Access   (Followers: 17)
International Journal of Stochastic Analysis     Open Access   (Followers: 2)
International Statistical Review     Hybrid Journal   (Followers: 12)
Journal of Algebraic Combinatorics     Hybrid Journal   (Followers: 3)
Journal of Applied Statistics     Hybrid Journal   (Followers: 20)
Journal of Biopharmaceutical Statistics     Hybrid Journal   (Followers: 24)
Journal of Business & Economic Statistics     Full-text available via subscription   (Followers: 40, SJR: 3.664, CiteScore: 2)
Journal of Combinatorial Optimization     Hybrid Journal   (Followers: 7)
Journal of Computational & Graphical Statistics     Full-text available via subscription   (Followers: 21)
Journal of Econometrics     Hybrid Journal   (Followers: 84)
Journal of Educational and Behavioral Statistics     Hybrid Journal   (Followers: 7)
Journal of Forecasting     Hybrid Journal   (Followers: 20)
Journal of Global Optimization     Hybrid Journal   (Followers: 7)
Journal of Mathematics and Statistics     Open Access   (Followers: 6)
Journal of Nonparametric Statistics     Hybrid Journal   (Followers: 6)
Journal of Probability and Statistics     Open Access   (Followers: 10)
Journal of Risk and Uncertainty     Hybrid Journal   (Followers: 33)
Journal of Statistical and Econometric Methods     Open Access   (Followers: 3)
Journal of Statistical Physics     Hybrid Journal   (Followers: 12)
Journal of Statistical Planning and Inference     Hybrid Journal   (Followers: 7)
Journal of Statistical Software     Open Access   (Followers: 16, SJR: 13.802, CiteScore: 16)
Journal of the American Statistical Association     Full-text available via subscription   (Followers: 74, SJR: 3.746, CiteScore: 2)
Journal of the Korean Statistical Society     Hybrid Journal  
Journal of the Royal Statistical Society Series C (Applied Statistics)     Hybrid Journal   (Followers: 37)
Journal of the Royal Statistical Society, Series A (Statistics in Society)     Hybrid Journal   (Followers: 28)
Journal of the Royal Statistical Society, Series B (Statistical Methodology)     Hybrid Journal   (Followers: 40)
Journal of Theoretical Probability     Hybrid Journal   (Followers: 3)
Journal of Time Series Analysis     Hybrid Journal   (Followers: 16)
Journal of Urbanism: International Research on Placemaking and Urban Sustainability     Hybrid Journal   (Followers: 27)
Law, Probability and Risk     Hybrid Journal   (Followers: 6)
Lifetime Data Analysis     Hybrid Journal   (Followers: 7)
Mathematical Methods of Statistics     Hybrid Journal   (Followers: 4)
Measurement Interdisciplinary Research and Perspectives     Hybrid Journal   (Followers: 1)
Metrika     Hybrid Journal   (Followers: 4)
Monthly Statistics of International Trade - Statistiques mensuelles du commerce international     Full-text available via subscription   (Followers: 3)
Multivariate Behavioral Research     Hybrid Journal   (Followers: 8)
Optimization Letters     Hybrid Journal   (Followers: 2)
Optimization Methods and Software     Hybrid Journal   (Followers: 5)
Oxford Bulletin of Economics and Statistics     Hybrid Journal   (Followers: 34)
Pharmaceutical Statistics     Hybrid Journal   (Followers: 15)
Queueing Systems     Hybrid Journal   (Followers: 7)
Research Synthesis Methods     Hybrid Journal   (Followers: 7)
Review of Economics and Statistics     Hybrid Journal   (Followers: 163)
Review of Socionetwork Strategies     Hybrid Journal  
Risk Management     Hybrid Journal   (Followers: 16)
Sankhya A     Hybrid Journal   (Followers: 3)
Scandinavian Journal of Statistics     Hybrid Journal   (Followers: 9)
Sequential Analysis: Design Methods and Applications     Hybrid Journal  
Significance     Hybrid Journal   (Followers: 7)
Sociological Methods & Research     Hybrid Journal   (Followers: 45)
SourceOECD Measuring Globalisation Statistics - SourceOCDE Mesurer la mondialisation - Base de donnees statistiques     Full-text available via subscription  
Stata Journal     Full-text available via subscription   (Followers: 8)
Statistica Neerlandica     Hybrid Journal   (Followers: 1)
Statistical Inference for Stochastic Processes     Hybrid Journal   (Followers: 3)
Statistical Methods and Applications     Hybrid Journal   (Followers: 6)
Statistical Methods in Medical Research     Hybrid Journal   (Followers: 30)
Statistical Modelling     Hybrid Journal   (Followers: 18)
Statistical Papers     Hybrid Journal   (Followers: 4)
Statistics & Probability Letters     Hybrid Journal   (Followers: 13)
Statistics and Computing     Hybrid Journal   (Followers: 14)
Statistics and Economics     Open Access  
Statistics in Medicine     Hybrid Journal   (Followers: 149)
Statistics: A Journal of Theoretical and Applied Statistics     Hybrid Journal   (Followers: 12)
Stochastic Models     Hybrid Journal   (Followers: 2)
Stochastics An International Journal of Probability and Stochastic Processes: formerly Stochastics and Stochastics Reports     Hybrid Journal   (Followers: 2)
Structural and Multidisciplinary Optimization     Hybrid Journal   (Followers: 12)
Teaching Statistics     Hybrid Journal   (Followers: 8)
Technology Innovations in Statistics Education (TISE)     Open Access   (Followers: 2)
TEST     Hybrid Journal   (Followers: 2)
The American Statistician     Full-text available via subscription   (Followers: 26)
The Canadian Journal of Statistics / La Revue Canadienne de Statistique     Hybrid Journal   (Followers: 10)
Wiley Interdisciplinary Reviews - Computational Statistics     Hybrid Journal   (Followers: 1)

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Journal of Statistical Physics
Journal Prestige (SJR): 0.93
Citation Impact (citeScore): 1
Number of Followers: 12  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 1572-9613 - ISSN (Online) 0022-4715
Published by Springer-Verlag Homepage  [2467 journals]
  • Infinite Volume Gibbs States and Metastates of the Random Field Mean-Field
           Spherical Model

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      Abstract: Abstract For the discrete random field Curie–Weiss models, the infinite volume Gibbs states and metastates have been investigated and determined for specific instances of random external fields. In general, there are not many examples in the literature of non-trivial limiting metastates for discrete or continuous spin systems. We analyze the infinite volume Gibbs states of the mean-field spherical model, a model of continuous spins, in a general random external field with independent identically distributed components with finite moments of some order larger than four and non-vanishing variances of the second moments. Depending on the parameters of the model, we show that there exist three distinct phases: ordered ferromagnetic, ordered paramagnetic, and spin glass. In the ordered ferromagnetic and ordered paramagnetic phases, we show that there exists a unique infinite volume Gibbs state almost surely. In the spin glass phase, we show the existence of chaotic size dependence, provide a construction of the Aizenman–Wehr metastate, and consider both the convergence in distribution and almost sure convergence of the Newman–Stein metastates. The limiting metastates are non-trivial and their structure is universal due to the presence of Gaussian fluctuations and the spherical constraint.
      PubDate: 2023-02-03
       
  • Large Deviation Principle of Nonconventional Ergodic Averages

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      Abstract: Abstract This paper establishes the large deviation principle (LDP) of certain types of nonconventional ergodic averages, namely, \(\frac{1}{N}S_N^*\) and \(\frac{1}{N}S_N^\#\) on \(\mathbb {N}\) (defined later). The LDP for both averages are presented and such a result extends the preceding work of (Carinci et al. in Indag Math 23(3):589–602, 2012) to some specific cases of d-multiple averages for \(d\ge 3\) .
      PubDate: 2023-01-30
       
  • Improved Replica Bounds for the Independence Ratio of Random Regular
           Graphs

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      Abstract: Abstract Studying independent sets of maximum size is equivalent to considering the hard-core model with the fugacity parameter \(\lambda \) tending to infinity. Finding the independence ratio of random d-regular graphs for some fixed degree d has received much attention both in random graph theory and in statistical physics. For \(d \ge 20\) the problem is conjectured to exhibit 1-step replica symmetry breaking (1-RSB). The corresponding 1-RSB formula for the independence ratio was confirmed for (very) large d in a breakthrough paper by Ding, Sly, and Sun. Furthermore, the so-called interpolation method shows that this 1-RSB formula is an upper bound for each \(d \ge 3\) . For \(d \le 19\) this bound is not tight and full-RSB is expected. In this work we use numerical optimization to find good substituting parameters for discrete r-RSB formulas ( \(r=2,3,4,5\) ) to obtain improved rigorous upper bounds for the independence ratio for each degree \(3 \le d \le 19\) . As r grows, these formulas get increasingly complicated and it becomes challenging to compute their numerical values efficiently. Also, the functions to minimize have a large number of local minima, making global optimization a difficult task.
      PubDate: 2023-01-28
       
  • Correction : Phase Transitions for a Class of Time-Inhomogeneous Diffusion
           Processes

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      PubDate: 2023-01-24
       
  • Phase Transition for Level-Set Percolation of the Membrane Model in
           Dimensions $$d \ge 5$$

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      Abstract: Abstract We consider level-set percolation for the Gaussian membrane model on \(\mathbb Z^d\) , with \(d \ge 5\) , and establish that as \(h \in {\mathbb {R}}\) varies, a non-trivial percolation phase transition for the level-set above level h occurs at some finite critical level \(h_*\) , which we show to be positive in high dimensions. Along \(h_*\) , two further natural critical levels \(h_{**}\) and \({\overline{h}}\) are introduced, and we establish that \( -\infty<{\overline{h}} \le h_*\le h_{**} < \infty \) , in all dimensions. For \(h > h_{**}\) , we find that the connectivity function of the level-set above h admits stretched exponential decay, whereas for \(h < {\overline{h}}\) , chemical distances in the (unique) infinite cluster of the level-set are shown to be comparable to the Euclidean distance, by verifying conditions identified by Drewitz et al. (J Math Phys 55(8):083307, 2014) for general correlated percolation models. As a pivotal tool to study its level-set, we prove novel decoupling inequalities for the membrane model.
      PubDate: 2023-01-24
       
  • Motion of Lee–Yang Zeros

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      Abstract: Abstract We consider the zeros of the partition function of the Ising model with ferromagnetic pair interactions and complex external field. Under the assumption that the graph with strictly positive interactions is connected, we vary the interaction (denoted by t) at a fixed edge. It is already known that each zero is monotonic (either increasing or decreasing) in t; we prove that its motion is local: the entire trajectories of any two distinct zeros are disjoint. If the underlying graph is a complete graph and all interactions take the same value \(t\ge 0\) (i.e., the Curie-Weiss model), we prove that all the principal zeros (those in \(i[0,\pi /2)\) ) decrease strictly in t.
      PubDate: 2023-01-19
       
  • A Central Limit Theorem for Diffusion in Sparse Random Graphs

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      Abstract: Abstract We consider bootstrap percolation and diffusion in sparse random graphs with fixed degrees, constructed by configuration model. Every vertex has two states: it is either active or inactive. We assume that to each vertex is assigned a nonnegative (integer) threshold. The diffusion process is initiated by a subset of vertices with threshold zero which consists of initially activated vertices, whereas every other vertex is inactive. Subsequently, in each round, if an inactive vertex with threshold \(\theta \) has at least \(\theta \) of its neighbours activated, then it also becomes active and remains so forever. This is repeated until no more vertices become activated. The main result of this paper provides a central limit theorem for the final size of activated vertices. Namely, under suitable assumptions on the degree and threshold distributions, we show that the final size of activated vertices has asymptotically Gaussian fluctuations.
      PubDate: 2023-01-19
       
  • Supersymmetric Quantum Spin Chains and Modified Universal Characters

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      Abstract: Abstract In this paper, for supersymmetric quantum integrable spin chains with rational \(Gl(N M)\) -invariant \(R\) -matrices, we construct a coupled master \(T\) -operator which represents a generating function for two-folds commuting quantum transfer matrices. We show that the functional relations for the quantum transfer matrices are equivalent to an infinite set of Hirota bilinear equations of the modified universal character hierarchy. Also the free fermion representation of the tau function of the supersymmetric quantum two-component spin chains will be given with the help of two sets of Clifford algebras.
      PubDate: 2023-01-18
       
  • A Vector-Valued Almost Sure Invariance Principle for Random Expanding on
           Average Cocycles

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      Abstract: Abstract We obtain a quenched vector-valued almost sure invariance principle (ASIP) for random expanding on average cocycles. This is achieved by combining the adapted version of Gouëzel’s approach for establishing ASIP (developed in Dragičević and Hafouta in Nonlinearity 34:6773–6798, 2021) and the recent construction of the so-called adapted norms (carried out in Dragičević and Sedro in Quenched limit theorems for expanding on average cocycles. arXiv:2105.00548, 2021), which in some sense eliminate the non-uniformity of the decay of correlations. For real-valued observables, we also show that the martingale approximation technique is applicable in our setup, and that it yields the ASIP with better error rates. Finally, we present an example showing the necessity of the scaling condition (12), answering a question of Dragičević and Sedro in Quenched limit theorems for expanding on average cocycles. arXiv:2105.00548, 2021.
      PubDate: 2023-01-18
       
  • Linear Stability of Thick Sprays Equations

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      Abstract: Abstract The coupling through both drag force and volume fraction (of gas) of a kinetic equation of Vlasov type and a system of Euler or Navier–Stokes type (in which the volume fraction explicity appears) leads to the so-called thick sprays equations. Those equations are used to describe sprays (droplets or dust specks in a surrounding gas) in which the volume fraction of the disperse phase is non negligible. As for other multiphase flows systems, the issues related to the linear stability around homogeneous solutions is important for the applications. We show in this paper that this stability indeed holds for thick sprays equations, under physically reasonable assumptions. The analysis which is performed makes use of Lyapunov functionals for the linearized equations.
      PubDate: 2023-01-11
       
  • On the Cauchy Problem for the Cutoff Boltzmann Equation with Small Initial
           Data

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      Abstract: Abstract We prove the global existence of the non-negative unique mild solution for the Cauchy problem of the cutoff Boltzmann equation for soft potential model \(-1\le \gamma < 0\) with the small initial data in three dimensional space. Thus our result fixes the gap for the case \(\gamma =-1\) in three dimensional space in the authors’ previous work (He and Jiang in J Stat Phys 168(2):470–481, 2017) where the estimate for the loss term was improperly used. The other gap in He and Jiang (2017) for the case \(\gamma =0\) in two dimensional space is recently fixed by Chen et al. (Arch Ration Mech Anal 240:327–381, 2021). The initial data \(f_{0}\) is non-negative and satisfies that \(\Vert \langle v \rangle ^{\ell _{\gamma }} f_{0}(x,v)\Vert _{L^{3}_{x,v}}\ll 1\) and \(\Vert \langle v \rangle ^{\ell _{\gamma }} f_0\Vert _{L^{15/8}_{x,v}}<\infty \) where \(\ell _{\gamma }=0\) when \(\gamma =-1\) and \(\ell _{\gamma }=(1+\gamma )^{+}\) when \(-1<\gamma <0\) . We also show that the solution scatters with respect to the kinetic transport operator. The novel contribution of this work lies in the exploration of the symmetric property of the gain term in terms of weighted estimate. It is the key ingredient for solving the model \(-1<\gamma <0\) when applying the Strichartz estimates.
      PubDate: 2023-01-11
       
  • Free Dynamics of Feature Learning Processes

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      Abstract: Abstract Regression models usually tend to recover a noisy signal in the form of a combination of regressors, also called features in machine learning, themselves being the result of a learning process. The alignment of the prior covariance feature matrix with the signal is known to play a key role in the generalization properties of the model, i.e. its ability to make predictions on unseen data during training. We present a statistical physics picture of the learning process. First we revisit the ridge regression to obtain compact asymptotic expressions for train and test errors, rendering manifest the conditions under which efficient generalization occurs. It is established thanks to an exact test-train sample error ratio combined with random matrix properties. Along the way in the form of a self-energy emerges an effective ridge penalty—precisely the train to test error ratio—which offers a very simple parameterization of the problem. This formulation appears convenient to tackle the learning process of the feature matrix itself. We derive an autonomous dynamical system in terms of elementary degrees of freedom of the problem determining the evolution of the relative alignment between the population matrix and the signal. A macroscopic counterpart of these equations is also obtained and various dynamical mechanisms are unveiled, allowing one to interpret the dynamics of simulated learning processes and to reproduce trajectories of single experimental run with high precision.
      PubDate: 2023-01-10
       
  • Symmetries and Zero Modes in Sample Path Large Deviations

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      Abstract: Abstract Sharp large deviation estimates for stochastic differential equations with small noise, based on minimizing the Freidlin–Wentzell action functional under appropriate boundary conditions, can be obtained by integrating certain matrix Riccati differential equations along the large deviation minimizers or instantons, either forward or backward in time. Previous works in this direction often rely on the existence of isolated minimizers with positive definite second variation. By adopting techniques from field theory and explicitly evaluating the large deviation prefactors as functional determinant ratios using Forman’s theorem, we extend the approach to general systems where degenerate submanifolds of minimizers exist. The key technique for this is a boundary-type regularization of the second variation operator. This extension is particularly relevant if the system possesses continuous symmetries that are broken by the instantons. We find that removing the vanishing eigenvalues associated with the zero modes is possible within the Riccati formulation and amounts to modifying the initial or final conditions and evaluation of the Riccati matrices. We apply our results in multiple examples including a dynamical phase transition for the average surface height in short-time large deviations of the one-dimensional Kardar–Parisi–Zhang equation with flat initial profile.
      PubDate: 2023-01-09
       
  • Scaling Limit of a Generalized Contact Process

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      Abstract: Abstract We derive macroscopic equations for a generalized contact process that is inspired by a neuronal integrate and fire model on the lattice \(\mathbb {Z}^d\) . The states at each lattice site can take values in \(0,\ldots ,k\) . These can be interpreted as neuronal membrane potential, with the state k corresponding to a firing threshold. In the terminology of the contact processes, which we shall use in this paper, the state k corresponds to the individual being infectious (all other states are noninfectious). In order to reach the firing threshold, or to become infectious, the site must progress sequentially from 0 to k. The rate at which it climbs is determined by other neurons at state k, coupled to it through a Kac-type potential, of range \(\gamma ^{-1}\) . The hydrodynamic equations are obtained in the limit \(\gamma \rightarrow 0\) . Extensions of the microscopic model to include excitatory and inhibitory neuron types, as well as other biophysical mechanisms, are also considered.
      PubDate: 2023-01-09
       
  • Radially Symmetric Models of the Landau Kinetic Equation and High Energy
           Tails

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      Abstract: Abstract The paper is devoted to study of radially symmetric solutions to the spatially homogeneous Landau kinetic equation for Coulomb forces and related model equations. Two kinds of kinetic models for the Landau equation are introduced in order to understand a possibility of blow-up of solution. They differ by a diffusion coefficient. The model of the first kind is exactly solvable. Its global in time solution is constructed and studied. The model of the second type is more complicated. The power moments (in velocities) for this model and for the Landau equations are studied. The propagation in time of the exponential moment of the third order is proved for solutions of the Landau equation. Informally speaking, this means that a typical high-energy tail for solutions having indata with compact support looks like \( \exp [- b(t) v ^{k}] \) with some \( k \ge 3 \) . In particular, this means that a lower bound with Maxwellian tail \( \exp [- a(t) v ^{2}] \) is impossible for solutions of the Landau equation
      PubDate: 2023-01-07
       
  • Metastability for Kawasaki Dynamics on the Hexagonal Lattice

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      Abstract: Abstract In this paper we analyze the metastable behavior for the Ising model that evolves under Kawasaki dynamics on the hexagonal lattice \({\mathbb {H}}^2\) in the limit of vanishing temperature. Let \(\varLambda \subset {\mathbb {H}}^2\) a finite set which we assume to be arbitrarily large. Particles perform simple exclusion on \(\varLambda \) , but when they occupy neighboring sites they feel a binding energy \(-U<0\) . Along each bond touching the boundary of \(\varLambda \) from the outside to the inside, particles are created with rate \(\rho =e^{-\varDelta \beta }\) , while along each bond from the inside to the outside, particles are annihilated with rate 1, where \(\beta \) is the inverse temperature and \(\varDelta >0\) is an activity parameter. For the choice \(\varDelta \in {(U,\frac{3}{2}U)}\) we prove that the empty (resp. full) hexagon is the unique metastable (resp. stable) state. We determine the asymptotic properties of the transition time from the metastable to the stable state and we give a description of the critical configurations. We show how not only their size but also their shape varies depending on the thermodynamical parameters. Moreover, we emphasize the role that the specific lattice plays in the analysis of the metastable Kawasaki dynamics by comparing the different behavior of this system with the corresponding system on the square lattice.
      PubDate: 2023-01-06
       
  • Macroscopic Behaviour in a Two-Species Exclusion Process Via the Method of
           Matched Asymptotics

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      Abstract: Abstract We consider a two-species simple exclusion process on a periodic lattice. We use the method of matched asymptotics to derive evolution equations for the two population densities in the dilute regime, namely a cross-diffusion system of partial differential equations for the two species’ densities. First, our result captures non-trivial interaction terms neglected in the mean-field approach, including a non-diagonal mobility matrix with explicit density dependence. Second, it generalises the rigorous hydrodynamic limit of Quastel (Commun Pure Appl Math 45(6):623–679, 1992), valid for species with equal jump rates and given in terms of a non-explicit self-diffusion coefficient, to the case of unequal rates in the dilute regime. In the equal-rates case, by combining matched asymptotic approximations in the low- and high-density limits, we obtain a cubic polynomial approximation of the self-diffusion coefficient that is numerically accurate for all densities. This cubic approximation agrees extremely well with numerical simulations. It also coincides with the Taylor expansion up to the second-order in the density of the self-diffusion coefficient obtained using a rigorous recursive method.
      PubDate: 2023-01-06
       
  • Motion by Mean Curvature from Glauber-Kawasaki Dynamics with Speed Change

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      Abstract: Abstract We derive a continuum mean-curvature flow as a certain hydrodynamic scaling limit of Glauber-Kawasaki dynamics with speed change. The Kawasaki part describes the movement of particles through particle interactions. It is speeded up in a diffusive space-time scaling. The Glauber part governs the creation and annihilation of particles. The Glauber part is set to favor two levels of particle density. It is also speeded up in time, but at a lesser rate than the Kawasaki part. Under this scaling, a mean-curvature interface flow emerges, with a homogenized ‘surface tension-mobility’ parameter reflecting microscopic rates. The interface separates the two levels of particle density. Similar hydrodynamic limits have been derived in two recent papers; one where the Kawasaki part describes simple nearest neighbor interactions, and one where the Kawasaki part is replaced by a zero-range process. We extend the main results of these two papers beyond nearest-neighbor interactions. The main novelty of our proof is the derivation of a ‘Boltzmann-Gibbs’ principle which covers a class of local particle interactions.
      PubDate: 2023-01-02
       
  • Response of a Canonical Ensemble of Quantum Oscillators to a Random Metric

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      Abstract: Abstract We calculate the susceptibility of a canonical ensemble of quantum oscillators to the singular random metric. If the covariance of the metric is \(\vert \textbf{x}-\textbf{x}^{\prime }\vert ^{-4\alpha }\) ( \(0<\alpha <\frac{1}{2}\) )then the expansion of the partition function in powers of the temperature involves non-integer indices.
      PubDate: 2023-01-02
       
  • Phase Transitions for a Class of Time-Inhomogeneous Diffusion Processes

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      Abstract: Abstract In this paper, we study phase transitions of a class of time-inhomogeneous diffusion processes associated with the \(\varphi ^4\) model. We prove that when \(\gamma <0\) , the system has no phase transition and when \(\gamma >0\) , the system has a phase transition and we study the phase transition of the system through qualitative and quantitative methods. We further show that, as the strength of the mean field tends to 0, the solution and stationary distribution of such system converge locally uniformly in \(L^2\) and Wasserstein distance respectively to those of corresponding system without mean field.
      PubDate: 2023-01-02
       
 
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