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Universal and non-universal large deviations in critical systems 关键系统中的普遍和非普遍大偏差
Pub Date : 2024-09-02 DOI: arxiv-2409.01250
Ivan Balo, Bertrand Delamotte, Adam Rançon
Rare events play a crucial role in understanding complex systems.Characterizing and analyzing them in scale-invariant situations is challengingdue to strong correlations. In this work, we focus on characterizing the tailsof probability distribution functions (PDFs) for these systems. Using a varietyof methods, perturbation theory, functional renormalization group, hierarchicalmodels, large $n$ limit, and Monte Carlo simulations, we investigate universalrare events of critical $O(n)$ systems. Additionally, we explore the crossoverfrom universal to nonuniversal behavior in PDF tails, extending Cram'er'sseries to strongly correlated variables. Our findings highlight the universaland nonuniversal aspects of rare event statistics and challenge existingassumptions about power-law corrections to the leading stretched exponentialdecay in these tails.
稀有事件在理解复杂系统中起着至关重要的作用。由于存在强相关性,在规模不变的情况下描述和分析稀有事件极具挑战性。在这项工作中,我们重点研究这些系统的概率分布函数(PDF)尾部的特征。我们使用多种方法,包括扰动理论、泛函重正化群、层次模型、大 $n$ 极限和蒙特卡罗模拟,研究临界 $O(n)$ 系统的普遍罕见事件。此外,我们还探索了 PDF 尾部从普遍到非普遍行为的交叉,并将 Cram'er's series 扩展到强相关变量。我们的发现突出了罕见事件统计的普遍性和非普遍性,并挑战了现有的关于在这些尾部对前导拉伸指数衰减进行幂律修正的假设。
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引用次数: 0
Universal critical phase diagram using Gini index 利用基尼指数绘制通用临界相图
Pub Date : 2024-09-02 DOI: arxiv-2409.01453
Soumyaditya Das, Soumyajyoti Biswas
The critical phase boundary of a system, in general, can depend on one ormore parameters. We show that by calculating the Gini index ($g$) of anysuitably defined response function of a system, the critical phase boundary canalways be reduced to that of a single parameter, starting from $g=0$ andterminating at $g=g_f$, where $g_f$ is a universal number for a givenuniversality class. We demonstrate the construction with analytical andnumerical calculations of mean field transverse field Ising model and sitediluted Ising model on the Bethe lattice, respectively. Both models have twoparameter phase boundaries -- transverse field and Temperature for the firstcase and site dilution and temperature in the second case. Both can be reducedto single parameter transition points in terms of the Gini index. The method isgenerally applicable for any multi-parameter critical transition.
一般来说,系统的临界相位边界可能取决于一个或多个参数。我们的研究表明,通过计算系统中任何合适定义的响应函数的基尼指数($g$),临界相位边界可以简化为单一参数的临界相位边界,从$g=0$开始,到$g=g_f$结束,其中$g_f$是给定通用性类别的通用数。我们分别对贝特晶格上的平均场横向场伊辛模型和定点稀释伊辛模型进行了分析和数值计算,证明了这一构造。这两个模型都有双参数相界--第一种情况是横向场和温度,第二种情况是位点稀释和温度。根据基尼指数,两者都可以简化为单参数过渡点。该方法一般适用于任何多参数临界过渡。
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引用次数: 0
Microcanonical Free Cumulants in lattice systems 晶格系统中的微调控自由累计数
Pub Date : 2024-09-02 DOI: arxiv-2409.01404
Felix Fritzsch, Tomaž Prosen, Silvia Pappalardi
Recently, the full version of the Eigenstate Thermalization Hypothesis (ETH)has been systematized using Free Probability. In this paper, we present adetailed discussion of the Free Cumulants approach to many-body dynamics withinthe microcanonical ensemble. Differences between the later and canonicalaverages are known to manifest in the time-dependent fluctuations of extensiveoperators. Thus, the microcanonical ensemble is essential to extend theapplication of Free Probability to the broad class of extensive observables. Wenumerically demonstrate the validity of our approach in a non-integrable spinchain Hamiltonian for extensive observables at finite energy density. Ourresults confirm the full ETH properties, specifically the suppression ofcrossing contributions and the factorization of non-crossing ones, thusdemonstrating that the microcanonical free cumulants encode ETH smoothcorrelations for both local and extensive observables.
最近,利用自由概率对完整版的特征态热化假说(ETH)进行了系统化。在本文中,我们详细讨论了微规范集合中的多体动力学自由累计数方法。众所周知,后期平均与经典平均之间的差异表现在广泛运算器随时间变化的波动上。因此,微规范集合对于将自由概率的应用扩展到广泛的可观测变量类别至关重要。在有限能量密度下,我们用数值证明了我们的方法在广义可观测量的不可积分自旋链哈密顿中的有效性。我们的结果证实了完整的 ETH 特性,特别是抑制了交叉贡献和非交叉贡献的因子化,从而证明微观经典自由积累编码了局部和广泛观测值的 ETH 平滑相关性。
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引用次数: 0
Thermodynamic Langevin Equations 热力学朗文方程
Pub Date : 2024-09-01 DOI: arxiv-2409.00811
Amilcare Porporato, Salvatore Calabrese, Lamberto Rondoni
The physical significance of the stochastic processes associated to thegeneralized Gibbs ensembles is scrutinized here with special attention to thethermodynamic fluctuations of small systems. The contact with the environmentproduces an interaction entropy, which controls the distribution offluctuations and allows writing the generalized Gibbs ensembles for macrostatesin potential form. This naturally yields exact nonlinear thermodynamic Langevinequations (TLEs) for such variables, with drift expressed in terms of entropicforces. The analysis of the canonical ensemble for an ideal monoatomic gas andthe related TLEs show that introducing currents leads to nonequilibrium heattransfer conditions with interesting bounds on entropy production but with noobvious thermodynamic limit. For a colloidal particle under constant force, theTLEs for macroscopic variables are different from those for the microscopicposition, typically used in the so-called stochastic thermodynamics; while TLEsare consistent with the fundamental equation obtained from the Hamiltonian,stochastic thermodynamics requires isothermal conditions and entropyproportional to position.
本文仔细研究了与广义吉布斯集合相关的随机过程的物理意义,并特别关注小系统的热力学波动。与环境的接触产生了相互作用熵,它控制着波动的分布,并允许以势能形式写出宏观状态的广义吉布斯集合。这自然会产生此类变量的精确非线性热力学兰格方程(TLEs),其漂移用熵力表示。对理想单原子气体的典型集合和相关 TLE 的分析表明,引入电流会导致非平衡传热条件,对熵的产生有有趣的限制,但没有明显的热力学极限。对于恒力作用下的胶体粒子,宏观变量的 TLE 与所谓随机热力学通常使用的微观位置变量的 TLE 不同;TLE 与从哈密顿方程得到的基本方程一致,而随机热力学需要等温条件和与位置成比例的熵。
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引用次数: 0
Percolation in semicontinuum geometries 半真空几何中的渗流
Pub Date : 2024-09-01 DOI: arxiv-2409.00699
Jasna C. K, V. Krishnadev, V. Sasidevan
We study percolation problems of overlapping objects where the underlyinggeometry is such that in D-dimensions, a subset of the directions has a latticestructure, while the remaining directions have a continuum structure. Theresulting semicontinuum problem describes the percolation of overlapping shapesin parallel layers or lanes with positional constraints for the placement ofthe objects along the discrete directions. Several semicontinuum percolationsystems are analyzed like hypercuboids with a particular focus on 2D and 3Dcases, disks, and parallelograms. Adapting the excluded volume arguments to thesemicontinuum setting, we show that for the semicontinuum problem ofhypercuboids, for fixed side-lengths of the hypercuboids along the directionsin which a lattice structure is maintained, the percolation threshold is alwaysindependent of the side-lengths along the continuum directions. The resultholds even when there is a distribution for the side-lengths along thecontinuum directions. Trends in the variation of the thresholds, as we vary thelinear measure of the shapes along the continuum directions, are obtained forother semicontinuum models like disks and parallelograms in 2D. The results arecompared with those of corresponding continuum and lattice models. For the 2Dand 3D models considered, using Monte Carlo simulations, we verify the excludedvolume predictions for the trends and numerical values of the percolationthresholds. Very good agreement is seen between the predicted numerical valuesand the simulation results. The semicontinuum setting also allows us toestablish a connection between the percolation problem of overlapping shapes in2D continuum and triangular lattice. We also verify that the isotropy of thethreshold for anisotropic shapes and standard percolation universality class ismaintained in the semicontinuum setting.
我们研究的是重叠物体的渗滤问题,在这些物体的底层几何中,在 D 维中,一个方向子集具有晶格结构,而其余方向具有连续结构。由此产生的半连续问题描述了重叠图形在平行层或平行线上的渗滤,并对物体沿离散方向的位置进行了限制。我们分析了几种半真空渗滤系统,如超立方体,尤其侧重于二维和三维案例、圆盘和平行四边形。通过将排除体积论证应用于半真空环境,我们证明了对于超立方体的半真空问题,对于超立方体沿保持晶格结构的方向的固定边长,渗流阈值总是与沿连续方向的边长无关。即使沿连续方向的边长存在分布,结果也是如此。当我们沿连续方向改变形状的线性度量时,阈值的变化趋势也会随之改变,这适用于其他半连续模型,如二维中的圆盘和平行四边形。这些结果与相应的连续体和晶格模型的结果进行了比较。对于所考虑的二维和三维模型,我们利用蒙特卡罗模拟验证了排除体积对渗流阈值趋势和数值的预测。结果表明,预测数值与模拟结果非常吻合。半连续性设置还使我们能够在二维连续性和三角形晶格中重叠形状的渗滤问题之间建立联系。我们还验证了各向异性形状阈值的各向同性和标准渗滤普遍性类在半真空环境中得以保持。
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引用次数: 0
Exact moments for a run and tumble particle in a harmonic trap with a finite tumble time 有限翻滚时间谐波阱中运行和翻滚粒子的精确时刻
Pub Date : 2024-09-01 DOI: arxiv-2409.00578
Aoran Sun, Fangfu Ye, Rudolf Podgornik
We study the problem of a run and tumble particle in a harmonic trap, with afinite run and tumble time, by a direct integration of the equation of motion.An exact 1D steady state distribution, diagram laws and a programmable Volterradifference equation are derived to calculate any order of moments in any otherdimension, both for steady state as well as the Laplace transform in time forthe intermediate states. We also use the moments to infer the distribution byconsidering a Gaussian quadrature for the corresponding measure, and from thescaling law of high order moments.
我们通过对运动方程的直接积分,研究了谐波陷阱中一个具有无限运行和翻滚时间的粒子的运行和翻滚问题。我们导出了精确的一维稳态分布、图解定律和可编程的伏特降维方程,以计算任何其他维度的任意阶矩,包括稳态以及中间状态的拉普拉斯时间变换。我们还通过考虑相应度量的高斯正交以及高阶矩的缩放规律,利用矩来推断分布。
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引用次数: 0
Models of heat transport with microscopic reversibility 具有微观可逆性的热传输模型
Pub Date : 2024-08-31 DOI: arxiv-2409.00430
Piero Olla
The behavior of lattice models in which time reversibility is enforced at thelevel of trajectories (microscopic reversibility) is studied analytically.Conditions for ergodicity breaking are explored, and a few examples of systemscharacterized by an additional conserved quantity besides energy are presented.All the systems are characterized by ergodicity restoration when put in contactwith a thermal bath, except for specific choices of the interactions betweenthe atoms in the system and the bath. The study shows that the additionalconserved quantities return to play a role in non-equilibrium conditions, withbehaviors similar to those of some mesoscale systems, in which the transitionrates satisfy detailed balance but not microscopic reversibility.
除了系统中原子与浴槽之间相互作用的特定选择之外,所有系统在与热浴接触时都具有遍历性恢复的特征。研究表明,附加守恒量在非平衡条件下重新发挥作用,其行为类似于某些中尺度系统,在这些系统中,转变速率满足详细平衡,但不满足微观可逆性。
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引用次数: 0
Oscillatory and dissipative dynamics of complex probability in non-equilibrium stochastic processes 非平衡随机过程中复杂概率的振荡和耗散动力学
Pub Date : 2024-08-31 DOI: arxiv-2409.00361
Anwesha Chattopadhyay
For a Markov and stationary stochastic process described by the well-knownclassical master equation, we introduce complex transition rates instead ofreal transition rates to study the pre-thermal oscillatory behaviour in complexprobabilities. Further, for purely imaginary transition rates we obtainpersistent infinitely long lived oscillations in complex probability whosenature depends on the dimensionality of the state space. We also take a peekinto cases where we perturb the relaxation matrix for a dichotomous processwith an oscillatory drive where the relative sign of the angular frequency ofthe drive decides whether there will be dissipation in the complex probabilityor not.
对于由著名的经典主方程描述的马尔可夫静止随机过程,我们引入了复数过渡率而不是实数过渡率,以研究复数概率的热前振荡行为。此外,对于纯虚过渡率,我们得到了复概率中持续无限长的振荡,其性质取决于状态空间的维度。我们还对具有振荡驱动力的二分过程的弛豫矩阵进行了扰动,在这种情况下,驱动力角频率的相对符号决定了复概率中是否会出现耗散。
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引用次数: 0
Fractality in resistive circuits: The Fibonacci resistor networks 电阻电路中的分形:斐波那契电阻网络
Pub Date : 2024-08-30 DOI: arxiv-2409.00229
Petrus H. R. dos Anjos, Fernando A. Oliveira, David L. Azevedo
We propose two new kinds of infinite resistor networks based on the Fibonaccisequence: a serial association of resistor sets connected in parallel (type 1)or a parallel association of resistor sets connected in series (type 2). Weshow that the sequence of the network's equivalent resistance convergesuniformly in the parameter $alpha=frac{r_2}{r_1} in [0,+infty)$, where$r_1$ and $r_2$ are the first and second resistors in the network. We also showthat these networks exhibit self-similarity and scale invariance, which mimicsa self-similar fractal. We also provide some generalizations, includingresistor networks based on high-order Fibonacci sequences and other recursivecombinatorial sequences.
我们提出了两种基于 Fibonaccisequence 的新型无限电阻网络:并联电阻组的串联(类型 1)或串联电阻组的并联(类型 2)。假设网络的等效电阻序列在参数 $alpha=frac{r_2}{r_1} 中均匀收敛。其中$r_1$和$r_2$是网络中的第一和第二个电阻。我们还证明这些网络具有自相似性和尺度不变性,这模仿了自相似分形。我们还提供了一些概括,包括基于高阶斐波那契序列和其他递归组合序列的电阻网络。
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引用次数: 0
Uncontrolled learning: co-design of neuromorphic hardware topology for neuromorphic algorithms 不受控制的学习:为神经形态算法共同设计神经形态硬件拓扑结构
Pub Date : 2024-08-09 DOI: arxiv-2408.05183
Frank Barrows, Jonathan Lin, Francesco Caravelli, Dante R. Chialvo
Hardware-based neuromorphic computing remains an elusive goal with thepotential to profoundly impact future technologies and deepen our understandingof emergent intelligence. The learning-from-mistakes algorithm is one of thefew training algorithms inspired by the brain's simple learning rules,utilizing inhibition and pruning to demonstrate self-organized learning. Herewe implement this algorithm in purely neuromorphic memristive hardware througha co-design process. This implementation requires evaluating hardwaretrade-offs and constraints. It has been shown that learning-from-mistakessuccessfully trains small networks to function as binary classifiers andperceptrons. However, without tailoring the hardware to the algorithm,performance decreases exponentially as the network size increases. Whenimplementing neuromorphic algorithms on neuromorphic hardware, we investigatethe trade-offs between depth, controllability, and capacity, the latter beingthe number of learnable patterns. We emphasize the significance of topology andthe use of governing equations, demonstrating theoretical tools to aid in theco-design of neuromorphic hardware and algorithms. We provide quantitativetechniques to evaluate the computational capacity of a neuromorphic devicebased on the measurements performed and the underlying circuit structure. Thisapproach shows that breaking the symmetry of a neural network can increase boththe controllability and average network capacity. By pruning the circuit,neuromorphic algorithms in all-memristive device circuits leverage stochasticresources to drive local contrast in network weights. Our combined experimentaland simulation efforts explore the parameters that make a network suited fordisplaying emergent intelligence from simple rules.
基于硬件的神经形态计算仍然是一个难以实现的目标,它有可能对未来技术产生深远影响,并加深我们对新兴智能的理解。从错误中学习算法是受大脑简单学习规则启发的少数训练算法之一,它利用抑制和剪枝来展示自组织学习。在这里,我们通过协同设计过程,在纯神经形态记忆硬件中实现了这一算法。这种实现需要评估硬件的取舍和限制。研究表明,"从错误中学习 "能够成功地训练小型网络,使其发挥二进制分类器和感知器的功能。然而,如果不根据算法定制硬件,随着网络规模的增加,性能会呈指数级下降。在神经形态硬件上实现神经形态算法时,我们研究了深度、可控性和容量(后者是可学习模式的数量)之间的权衡。我们强调拓扑结构的重要性,并使用治理方程,展示有助于神经形态硬件和算法协同设计的理论工具。我们提供了定量技术,根据所进行的测量和底层电路结构来评估神经形态设备的计算能力。这种方法表明,打破神经网络的对称性可以提高可控性和平均网络容量。通过修剪电路,全畸变器件电路中的神经形态算法利用随机资源来驱动网络权重的局部对比。我们通过实验和模拟相结合的方式,探索了使网络适合从简单规则中展现新兴智能的参数。
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引用次数: 0
期刊
arXiv - PHYS - Statistical Mechanics
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