Article
Physics, Multidisciplinary
A. S. Parvan
Summary: This study examines the probability distributions of different statistical methods in the canonical ensemble, showing that the distributions of Tsallis-1 and Tsallis-3 statistics are invariant under energy spectrum translations, consistent with the principles of equilibrium statistical mechanics. However, the probability distribution of Tsallis-2 statistics does not exhibit the expected invariance under overall energy shifts, indicating a deviation from the normalization condition of probabilities.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2022)
Article
Physics, Multidisciplinary
Shubhra Bhowmick, Biswajit Sahu
Summary: This study systematically investigates the propagation of both linear and nonlinear dust acoustic waves in a collisional magnetized warm dusty plasma. The analysis reveals that the linear damping is caused by dust-neutral collisions and the nonlinear excitations are significantly influenced by various plasma parameters.
CHINESE JOURNAL OF PHYSICS
(2022)
Article
Mathematics, Interdisciplinary Applications
H. Alinejad
Summary: In this paper, the non-linear propagation of dust ion-acoustic waves in a complex dusty plasma is fully analyzed using bifurcation techniques and numerical simulations. A dynamical system capturing the main features of traveling wave solutions and transition between nonlinear modes is derived. The study reveals the existence domains of stability regions for different ranges of electron nonextensivity and dust concentration. The motion dynamics of low-frequency dust ion-acoustic traveling waves undergoes a transcritical bifurcation at critical points of nonextensivity parameter and dust concentration, resulting in a switch of stability. A new kind of solitary structure characterized by transcritical bifurcation parameters with half-stable equilibrium points is observed. The effects of nonextensive parameter and dust polarity on the transition between nonlinear traveling waves are investigated.
CHAOS SOLITONS & FRACTALS
(2022)
Article
Physics, Multidisciplinary
S. Bukhari, Fazli Hadi, Warda Amin, Ata ur Rahman
Summary: In this study, Dust-acoustic waves (DAWs) are investigated in an electrostatic self-gravitating dusty plasma. The electrons and ions are modeled using a nonextensive q-distribution function, while the dust particles follow a Maxwellian distribution. The plasma dispersion relation and instability growth rate are derived using a Vlasov-Poisson set of equations. The effects of various parameters, such as self-gravitation, nonextensivity, dust concentration, and streaming speed, on the wave frequency and growth rate are examined. The applicability of the results in interstellar dust clouds is also discussed.
CHINESE JOURNAL OF PHYSICS
(2023)
Article
Mechanics
Bachirou Bachir Mouhammadoul, A. Alim, C. G. L. Tiofack, A. Mohamadou, Albandari W. Alrowaily, Sherif. M. E. Ismaeel, S. A. El-Tantawy
Summary: This investigation explores the modulation of weakly positron-acoustic waves (PAWs) in four-component magnetoplasmas with nonextensive electrons and fluid positrons. The researchers derived the nonlinear Schrodinger equation (NLSE) for the PAWs using the derivative expansion technique. Through linear stability analysis, the modulational instability (MI) in the current magnetoplasma model was studied, and it was found that the magnetic field parameter significantly affects the bandwidth and maximum amplitude of the MI. The obtained results have implications for understanding the acceleration mechanism of static electrostatic wave packets in various plasma environments.
Article
Multidisciplinary Sciences
Khalid Khan, Obaid Algahtani, Muhammad Irfan, Amir Ali
Summary: The linear/nonlinear propagation characteristics of electron-acoustic (EA) solitons in an electron-ion (El) plasma containing negative superthermal electrons and positively charged ions are examined. A Korteweg-de-Vries (KdV) equation is deduced using the magnetic hydrodynamic (MHD) equations and the reductive perturbation technique. The modified double Laplace decomposition method (MDLDM) is used to obtain approximate wave solutions associated with higher-order perturbation. Numerical analysis shows that thermal correction due to superthermal electrons reduces the dimensionless phase speed of EA waves, while random motion spreads out the dynamical electron fluid. Increasing the temperature of superthermal electrons enhances the steepness and dispersion of the waves.
SCIENTIFIC REPORTS
(2022)
Article
Physics, Particles & Fields
Ilim cimdiker, Mariusz P. Dabrowski, Hussain Gohar
Summary: In this study, the compatibility between Hawking temperature and nonextensive entropies is analyzed and it is found that Hawking temperature is thermodynamically inconsistent with nonextensive entropies, except for Bekenstein entropy. For Tsallis-Cirto black hole entropy, it is demonstrated that the Bekenstein-Hawking entropy is the related equilibrium entropy and Hawking temperature is the associated equilibrium temperature.
EUROPEAN PHYSICAL JOURNAL C
(2023)
Article
Physics, Fluids & Plasmas
Tohid Abbaszadeh, Hossein Zahed
Summary: This study analyzes the Landau damping of the dust ion-acoustic wave in a dusty plasma with non-extensive distributed components using a kinetic approach. By varying the plasma components indices, the effects of non-extensivity on the frequency and Landau damping of the DIAW are studied. Results show that the wave damping decreases by increasing the coefficient q index and the ion-to-electron density ratio, while the damping rate increases with an increasing ion-to-electron temperature ratio.
CONTRIBUTIONS TO PLASMA PHYSICS
(2021)
Article
Physics, Multidisciplinary
Zhipeng Liu
Summary: The effects of nonextensive electrons on nonlinear ion acoustic waves in dusty negative ion plasmas with ion-dust collisions are investigated. It is found that the amplitude of solitary wave and oscillatory shock can be obviously modified by the nonextensive electrons, but the monotonic shock is little affected.
Article
Multidisciplinary Sciences
Huibin Qiu, Donghua Xiao, Junjie Wu, Shengfa Wu, Chengjie Zhong, Xiaobin Li, Xingkun Peng, Youlong Yuan, Qilong Cai, Jinming Chang, Tianyi Hu, Zuozhi Hu, Yuqing Zhu
Summary: The consideration of nonextensivity effects is crucial to accurately diagnose plasma parameters. In this study, we measured the ion nonextensive parameter of plasma based on the theory of nonextensive geodesic acoustic modes. The proposed method may play a role in plasma diagnosis and contribute to a better understanding of plasma nonextensivity.
SCIENTIFIC REPORTS
(2022)
Article
Multidisciplinary Sciences
H. Rashid, U. Zakir, F. Hadi, A. Zeeshan
Summary: Using the kinetic theory approach, this theoretical investigation studies the electron acoustic waves in non-thermal plasma. The dispersion relation and Landau damping rate for Langmuir waves and electron acoustic waves are derived and it is found that these parameters are strongly influenced by non-thermal parameter, temperature ratio, and population ratio.
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
(2023)
Article
Mechanics
M. Irshad, Muhammad Ata-ur-Rahman, Muhammad Khalid, S. Khan, B. M. Alotaibi, L. S. El-Sherif, S. A. El-Tantawy
Summary: This paper reports the modulational instability of high-frequency electron-acoustic waves in a non-Maxwellian plasma composed of two types of electrons and stationary ions. The deformation parameter and the hot-to-cold electron density ratio significantly affect the modulational instability.
Article
Physics, Multidisciplinary
S. Bukhari, Sajid Hussain, M. Irfan, S. Ali
Summary: This study investigates the linear characteristics of electron-acoustic waves and the associated kinetic instability in an unmagnetized electron-ion plasma. The plasma is modeled using a non-gyrotropic nonextensive q-distribution function, and the relative directed motion of streaming warm electrons with respect to the cool electrons provides the free energy source for wave excitation. The results analyze the threshold condition of wave dispersion and instability growth rate in the presence of nonextensive effects, and describe the relevance of the study to observed situations.
CHINESE JOURNAL OF PHYSICS
(2022)
Article
Physics, Fluids & Plasmas
Salim Benaiche, Mustapha Bacha, Abderrzak Merriche, Rabia Amour
Summary: This paper revisits the propagation of both linear and weakly nonlinear dust-acoustic (DA) solitons in the presence of adiabatically trapped-nonextensive ions. A physically relevant distribution called Tsallis-Gurevich ions distribution is introduced for the first time. The effects of particle trapping on ion density, dispersion relation, soliton's profile, DA energy, and solitary wave's electric field are analyzed, showing that the nonextensive character of trapped ions can modify these properties. Our investigation provides new insight into solitary waves in plasma and complements previously published works.
CONTRIBUTIONS TO PLASMA PHYSICS
(2023)
Article
Physics, Multidisciplinary
M. A. H. Khaled
Summary: Two-dimensional dust acoustic solitary waves in an unmagnetized dusty plasma model have been studied. The model includes thermal electrons, nonextensive ions, and negatively charged dust fluid. The study derived equations and obtained a function for the dust charge number, and examined the stability of the waves and the effects of parameters on the amplitudes and widths of the waves.
INDIAN JOURNAL OF PHYSICS
(2022)
Article
Physics, Multidisciplinary
Xiaoyu Shi, Jian Zhang, Xia Jiang, Juan Chen, Wei Hao, Bo Wang
Summary: This study presents a novel framework using offline reinforcement learning to improve energy consumption in road transportation. By leveraging real-world human driving trajectories, the proposed method achieves significant improvements in energy consumption. The offline learning approach demonstrates generalizability across different scenarios.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Junhyuk Woo, Soon Ho Kim, Hyeongmo Kim, Kyungreem Han
Summary: Reservoir computing (RC) is a new machine-learning framework that uses an abstract neural network model to process information from complex dynamical systems. This study investigates the neuronal and network dynamics of liquid state machines (LSMs) using numerical simulations and classification tasks. The findings suggest that the computational performance of LSMs is closely related to the dynamic range, with a larger dynamic range resulting in higher performance.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Yuwei Yang, Zhuoxuan Li, Jun Chen, Zhiyuan Liu, Jinde Cao
Summary: This paper proposes an extreme learning machine (ELM) algorithm based on residual correction and Tent chaos sequence (TRELM-DROP) for accurate prediction of traffic flow. The algorithm reduces the impact of randomness in traffic flow through the Tent chaos strategy and residual correction method, and avoids weight optimization using the iterative method. A DROP strategy is introduced to improve the algorithm's ability to predict traffic flow under varying conditions.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Chengwei Dong, Min Yang, Lian Jia, Zirun Li
Summary: This work presents a novel three-dimensional system with multiple types of coexisting attractors, and investigates its dynamics using various methods. The mechanism of chaos emergence is explored, and the periodic orbits in the system are studied using the variational method. A symbolic coding method is successfully established to classify the short cycles. The flexibility and validity of the system are demonstrated through analogous circuit implementation. Various chaos-based applications are also presented to show the system's feasibility.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Viorel Badescu
Summary: This article discusses the maximum work extraction from confined particles energy, considering both reversible and irreversible processes. The results vary for different types of particles and conditions. The concept of exergy cannot be defined for particles that undergo spontaneous creation and annihilation. It is also noted that the Carnot efficiency is not applicable to the conversion of confined thermal radiation into work.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
P. M. Centres, D. J. Perez-Morelo, R. Guzman, L. Reinaudi, M. C. Gimenez
Summary: In this study, a phenomenological investigation of epidemic spread was conducted using a model of agent diffusion over a square region based on the SIR model. Two possible contagion mechanisms were considered, and it was observed that the number of secondary infections produced by an individual during its infectious period depended on various factors.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Zuan Jin, Minghui Ma, Shidong Liang, Hongguang Yao
Summary: This study proposes a differential variable speed limit (DVSL) control strategy considering lane assignment, which sets dynamic speed limits for each lane to attract vehicle lane-changing behaviors before the bottleneck and reduce the impact of traffic capacity drop. Experimental results show that the proposed DVSL control strategy can alleviate traffic congestion and improve efficiency.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Matthew Dicks, Andrew Paskaramoorthy, Tim Gebbie
Summary: In this study, we investigate the learning dynamics of a single reinforcement learning optimal execution trading agent when it interacts with an event-driven agent-based financial market model. The results show that the agents with smaller state spaces converge faster and are able to intuitively learn to trade using spread and volume states. The introduction of the learning agent has a robust impact on the moments of the model, except for the Hurst exponent, which decreases, and it can increase the micro-price volatility as trading volumes increase.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Zhouzhou Yao, Xianyu Wu, Yang Yang, Ning Li
Summary: This paper developed a cooperative lane-changing decision system based on digital technology and indirect reciprocity. By introducing image scoring and a Q-learning based reinforcement learning algorithm, drivers can continuously evaluate gains and adjust their strategies. The study shows that this decision system can improve driver cooperation and traffic efficiency, achieving over 50% cooperation probability under any connected vehicles penetration and traffic density, and reaching 100% cooperation probability under high penetration and medium to high traffic density.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Josephine Nanyondo, Henry Kasumba
Summary: This paper presents a multi-class Aw-Rascle (AR) model with area occupancy expressed in terms of vehicle class proportions. The qualitative properties of the proposed equilibrium velocity and the stability conditions of the model are established. The numerical results show the effect of proportional densities on the flow of vehicle classes, indicating the realism of the proposed model.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Oliver Smirnov
Summary: This study proposes a new method for simultaneously estimating the parameters of the 2D Ising model. The method solves a constrained optimization problem, where the objective function is a pseudo-log-likelihood and the constraint is the Hamiltonian of the external field. Monte Carlo simulations were conducted using models of different shapes and sizes to evaluate the performance of the method with and without the Hamiltonian constraint. The results demonstrate that the proposed estimation method yields lower variance across all model shapes and sizes compared to a simple pseudo-maximum likelihood.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Przemyslaw Chelminiak
Summary: The study investigates the first-passage properties of a non-linear diffusion equation with diffusivity dependent on the concentration/probability density through a power-law relationship. The survival probability and first-passage time distribution are determined based on the power-law exponent, and both exact and approximate expressions are derived, along with their asymptotic representations. The results pertain to diffusing particles that are either freely or harmonically trapped. The mean first-passage time is finite for the harmonically trapped particle, while it is divergent for the freely diffusing particle.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Hidemaro Suwa
Summary: The choice of transition kernel is crucial for the performance of the Markov chain Monte Carlo method. A one-parameter rejection control transition kernel is proposed, and it is shown that the rejection process plays a significant role in determining the sampling efficiency.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Xudong Wang, Yao Chen
Summary: This article investigates the joint influence of expanding medium and constant force on particle diffusion. By starting from the Langevin picture and introducing the effect of external force in two different ways, two models with different force terms are obtained. Detailed analysis and derivation yield the Fokker-Planck equations and moments for the two models. The sustained force behaves as a decoupled force, while the intermittent force changes the diffusion behavior with specific effects depending on the expanding rate of the medium.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)