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Thematische Bibliographien / Processus de Zero-Range / Zeitschriftenartikel

Zeitschriftenartikel zum Thema „Processus de Zero-Range“

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Autor: Grafiati

Veröffentlicht am 6. Juli 2024

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1

Jeon, Intae. „Condensation in perturbed zero-range processes“. Journal of Physics A: Mathematical and Theoretical 44, Nr. 25 (23.05.2011): 255002. http://dx.doi.org/10.1088/1751-8113/44/25/255002.

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2

Godrèche, Claude, und Jean-Michel Drouffe. „Coarsening dynamics of zero-range processes“. Journal of Physics A: Mathematical and Theoretical 50, Nr. 1 (29.11.2016): 015005. http://dx.doi.org/10.1088/1751-8113/50/1/015005.

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3

Maes, C., und F. Redig. „Long-range spatial correlations for anisotropic zero-range processes“. Journal of Physics A: Mathematical and General 24, Nr. 18 (21.09.1991): 4359–73. http://dx.doi.org/10.1088/0305-4470/24/18/022.

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4

Uchiyama, Kôhei. „Equilibrium Fluctuations for Zero-Range-Exclusion Processes“. Journal of Statistical Physics 115, Nr. 5/6 (Juni 2004): 1423–60. http://dx.doi.org/10.1023/b:joss.0000028065.88090.af.

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5

del Molino, L. C. G., P. Chleboun und S. Grosskinsky. „Condensation in randomly perturbed zero-range processes“. Journal of Physics A: Mathematical and Theoretical 45, Nr. 20 (04.05.2012): 205001. http://dx.doi.org/10.1088/1751-8113/45/20/205001.

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6

Jeon, Intae. „CONDENSATION IN DENSITY DEPENDENT ZERO RANGE PROCESSES“. Journal of the Korea Society for Industrial and Applied Mathematics 17, Nr. 4 (25.12.2013): 267–78. http://dx.doi.org/10.12941/jksiam.2013.17.267.

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7

Benois, O., A. Koukkous und C. Landim. „Diffusive behavior of asymmetric zero-range processes“. Journal of Statistical Physics 87, Nr. 3-4 (Mai 1997): 577–91. http://dx.doi.org/10.1007/bf02181237.

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8

Seo, Insuk. „Condensation of Non-reversible Zero-Range Processes“. Communications in Mathematical Physics 366, Nr. 2 (10.02.2019): 781–839. http://dx.doi.org/10.1007/s00220-019-03346-2.

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9

Jankowski, Hanna, Jeremy Quastel und John Sheriff. „Central Limit Theorem for Zero-Range Processes“. Methods and Applications of Analysis 9, Nr. 3 (2002): 393–406. http://dx.doi.org/10.4310/maa.2002.v9.n3.a6.

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10

Godr che, C. „Dynamics of condensation in zero-range processes“. Journal of Physics A: Mathematical and General 36, Nr. 23 (28.05.2003): 6313–28. http://dx.doi.org/10.1088/0305-4470/36/23/303.

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11

Kumar Chatterjee, Amit, und P. K. Mohanty. „Zero range and finite range processes with asymmetric rate functions“. Journal of Statistical Mechanics: Theory and Experiment 2017, Nr. 9 (15.09.2017): 093201. http://dx.doi.org/10.1088/1742-5468/aa82c6.

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12

Pulkkinen, Otto. „Boundary Driven Zero-Range Processes in Random Media“. Journal of Statistical Physics 128, Nr. 6 (17.08.2007): 1289–305. http://dx.doi.org/10.1007/s10955-007-9361-6.

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13

Godrèche, C., und J. M. Luck. „Dynamics of the condensate in zero-range processes“. Journal of Physics A: Mathematical and General 38, Nr. 33 (03.08.2005): 7215–37. http://dx.doi.org/10.1088/0305-4470/38/33/002.

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14

Landim, C. „Hydrodynamic limit of mean zero asymmetric zero range processes in infinite volume“. Annales de l'Institut Henri Poincare (B) Probability and Statistics 33, Nr. 1 (1997): 65–82. http://dx.doi.org/10.1016/s0246-0203(97)80116-1.

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15

Waclaw, B., Z. Burda und W. Janke. „Power laws in zero-range processes on random networks“. European Physical Journal B 65, Nr. 4 (Oktober 2008): 565–70. http://dx.doi.org/10.1140/epjb/e2008-00361-0.

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16

Levine, E., D. Mukamel und G. Ziv. „The condensation transition in zero-range processes with diffusion“. Journal of Statistical Mechanics: Theory and Experiment 2004, Nr. 05 (07.05.2004): P05001. http://dx.doi.org/10.1088/1742-5468/2004/05/p05001.

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17

Schwarzkopf, Y., M. R. Evans und D. Mukamel. „Zero-range processes with multiple condensates: statics and dynamics“. Journal of Physics A: Mathematical and Theoretical 41, Nr. 20 (23.04.2008): 205001. http://dx.doi.org/10.1088/1751-8113/41/20/205001.

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18

Gielis, G., A. Koukkous und C. Landim. „Equilibrium fluctuations for zero range processes in random environment“. Stochastic Processes and their Applications 77, Nr. 2 (September 1998): 187–205. http://dx.doi.org/10.1016/s0304-4149(98)00044-1.

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19

Greenblatt, R. L., und J. L. Lebowitz. „Product measure steady states of generalized zero range processes“. Journal of Physics A: Mathematical and General 39, Nr. 7 (01.02.2006): 1565–73. http://dx.doi.org/10.1088/0305-4470/39/7/003.

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20

Benois, O., C. Kipnis und C. Landim. „Large deviations from the hydrodynamical limit of mean zero asymmetric zero range processes“. Stochastic Processes and their Applications 55, Nr. 1 (Januar 1995): 65–89. http://dx.doi.org/10.1016/0304-4149(95)91543-a.

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21

Jara, M. D., C. Landim und S. Sethuraman. „Nonequilibrium fluctuations for a tagged particle in mean-zero one-dimensional zero-range processes“. Probability Theory and Related Fields 145, Nr. 3-4 (05.09.2008): 565–90. http://dx.doi.org/10.1007/s00440-008-0178-2.

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22

Stamatakis, Marios Georgios. „Hydrodynamic Limit of Mean Zero Condensing Zero Range Processes with Sub-Critical Initial Profiles“. Journal of Statistical Physics 158, Nr. 1 (23.09.2014): 87–104. http://dx.doi.org/10.1007/s10955-014-1113-9.

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23

Janvresse, E., C. Landim, J. Quastel und H. T. Yau. „Relaxation to Equilibrium of Conservative Dynamics. I: Zero-Range Processes“. Annals of Probability 27, Nr. 1 (Januar 1999): 325–60. http://dx.doi.org/10.1214/aop/1022677265.

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24

Grange, Pascal. „Non-conserving zero-range processes with extensive rates under resetting“. Journal of Physics Communications 4, Nr. 4 (09.04.2020): 045006. http://dx.doi.org/10.1088/2399-6528/ab81b2.

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25

Koukkous, A. „Hydrodynamic behavior of symmetric zero-range processes with random rates“. Stochastic Processes and their Applications 84, Nr. 2 (Dezember 1999): 297–312. http://dx.doi.org/10.1016/s0304-4149(99)00054-x.

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26

Thompson, A. G., J. Tailleur, M. E. Cates und R. A. Blythe. „Zero-range processes with saturated condensation: the steady state and dynamics“. Journal of Statistical Mechanics: Theory and Experiment 2010, Nr. 02 (15.02.2010): P02013. http://dx.doi.org/10.1088/1742-5468/2010/02/p02013.

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27

Chleboun, Paul, Stefan Grosskinsky und Andrea Pizzoferrato. „Lower Current Large Deviations for Zero-Range Processes on a Ring“. Journal of Statistical Physics 167, Nr. 1 (13.02.2017): 64–89. http://dx.doi.org/10.1007/s10955-017-1740-z.

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28

Armendáriz, Inés, und Michail Loulakis. „Thermodynamic limit for the invariant measures in supercritical zero range processes“. Probability Theory and Related Fields 145, Nr. 1-2 (06.08.2008): 175–88. http://dx.doi.org/10.1007/s00440-008-0165-7.

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29

Beltrán, J., und C. Landim. „Metastability of reversible condensed zero range processes on a finite set“. Probability Theory and Related Fields 152, Nr. 3-4 (12.01.2011): 781–807. http://dx.doi.org/10.1007/s00440-010-0337-0.

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30

Balázs, Márton. „Stochastic bounds on the zero range processes with superlinear jump rates“. Periodica Mathematica Hungarica 47, Nr. 1/2 (2003): 17–27. http://dx.doi.org/10.1023/b:mahu.0000010808.13199.d9.

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31

Erignoux, Clément, Marielle Simon und Linjie Zhao. „Asymmetric attractive zero-range processes with particle destruction at the origin“. Stochastic Processes and their Applications 159 (Mai 2023): 1–33. http://dx.doi.org/10.1016/j.spa.2023.01.015.

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32

TSUNODA, Kenkichi. „Hydrodynamic limit for a certain class of two-species zero-range processes“. Journal of the Mathematical Society of Japan 68, Nr. 2 (April 2016): 885–98. http://dx.doi.org/10.2969/jmsj/06820885.

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33

Landim, C. „Hydrodynamical limit for space inhomogeneous one-dimensional totally asymmetric zero-range processes“. Annals of Probability 24, Nr. 2 (April 1996): 599–638. http://dx.doi.org/10.1214/aop/1039639356.

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34

Nagahata, Yukio. „Spectral gap for zero-range processes with jump rate g(x)=xγ“. Stochastic Processes and their Applications 120, Nr. 6 (Juni 2010): 949–58. http://dx.doi.org/10.1016/j.spa.2010.01.019.

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35

Török, János. „Analytic study of clustering in shaken granular material using zero-range processes“. Physica A: Statistical Mechanics and its Applications 355, Nr. 2-4 (September 2005): 374–82. http://dx.doi.org/10.1016/j.physa.2005.03.024.

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36

Gro�kinsky, Stefan, und Herbert Spohn. „Stationary measures and hydrodynamics of zero range processes with several species of particles“. Bulletin of the Brazilian Mathematical Society 34, Nr. 3 (01.11.2003): 489–507. http://dx.doi.org/10.1007/s00574-003-0026-z.

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37

Jatuviriyapornchai, Watthanan, und Stefan Grosskinsky. „Coarsening dynamics in condensing zero-range processes and size-biased birth death chains“. Journal of Physics A: Mathematical and Theoretical 49, Nr. 18 (01.04.2016): 185005. http://dx.doi.org/10.1088/1751-8113/49/18/185005.

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38

Jara, Milton, Claudio Landim und Sunder Sethuraman. „Nonequilibrium fluctuations for a tagged particle in one-dimensional sublinear zero-range processes“. Annales de l'Institut Henri Poincaré, Probabilités et Statistiques 49, Nr. 3 (August 2013): 611–37. http://dx.doi.org/10.1214/12-aihp478.

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39

Dirr, Nicolas, Marios G. Stamatakis und Johannes Zimmer. „Hydrodynamic Limit of Condensing Two-Species Zero Range Processes with Sub-critical Initial Profiles“. Journal of Statistical Physics 168, Nr. 4 (01.07.2017): 794–825. http://dx.doi.org/10.1007/s10955-017-1827-6.

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40

Mei, Zhongtao, und Jaeyoon Cho. „Matrix Product Solution of the Stationary State of Two-Species Open Zero Range Processes“. Journal of Statistical Physics 175, Nr. 1 (19.02.2019): 150–60. http://dx.doi.org/10.1007/s10955-019-02247-x.

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41

Faggionato, Alessandra. „Hydrodynamic Limit of Zero Range Processes Among Random Conductances on the Supercritical Percolation Cluster“. Electronic Journal of Probability 15 (2010): 259–91. http://dx.doi.org/10.1214/ejp.v15-748.

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42

Beltrán, J., M. Jara und C. Landim. „A martingale problem for an absorbed diffusion: the nucleation phase of condensing zero range processes“. Probability Theory and Related Fields 169, Nr. 3-4 (07.12.2016): 1169–220. http://dx.doi.org/10.1007/s00440-016-0749-6.

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43

Xu, Lixin, Kaili Dai, Hongyu Hao, Huizhou Zeng und Jianen Chen. „Effective Frequency Range and Jump Behavior of Horizontal Quasi-Zero Stiffness Isolator“. Applied Sciences 13, Nr. 3 (30.01.2023): 1795. http://dx.doi.org/10.3390/app13031795.

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The quasi-zero stiffness (QZS) isolator shows excellent characteristics of low-frequency vibration isolation. However, the jump behavior caused by the strong nonlinearity is a primary reason for the failure of QZS isolators. In order to grasp the effective frequency range and failure mechanism of a horizontal QZS isolator comprehensively, the dynamics of the isolator were studied in the following two cases. In the first case, the isolator is subject to a base displacement excitation; in the second case, the isolator is installed on a linear structure that is subject to a harmonic force. The nonlinear algebraic equations describing the steady-state response of the two systems were derived via the complexification-averaging method, and the results obtained using the derived expressions were verified by comparing the results of the complexification-averaging method and the Runge–Kutta method. The effective frequency ranges of the isolator were then obtained, and the jump phenomena in the response amplitude induced by the strong nonlinearity of the isolator were analyzed. The results show that when the excitation amplitude is small, the vibration isolation system does not exhibit jumping behavior and the effective frequency range is relatively wide. With increases in the excitation amplitude, the system can exhibit jumping behavior when an additional impact load is considered, and this phenomenon leads to a narrowing of the effective frequency range. The characteristics of the jump phenomena produced in the two cases were analyzed, and the differences in the jump behaviors were elucidated. Furthermore, the effect of the isolator parameters on the effective frequency range was investigated.

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44

Su, Guifeng, Xiaowen Li, Xiaobing Zhang und Yi Zhang. „Finite density scaling laws of condensation phase transition in zero-range processes on scale-free networks“. Chinese Physics B 29, Nr. 8 (Juli 2020): 088904. http://dx.doi.org/10.1088/1674-1056/ab8a41.

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45

Landim, C. „Metastability for a Non-reversible Dynamics: The Evolution of the Condensate in Totally Asymmetric Zero Range Processes“. Communications in Mathematical Physics 330, Nr. 1 (28.05.2014): 1–32. http://dx.doi.org/10.1007/s00220-014-2072-3.

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46

Cho, Soobin, Panki Kim und Jaehun Lee. „General Law of iterated logarithm for Markov processes: Liminf laws“. Transactions of the American Mathematical Society, Series B 10, Nr. 39 (16.11.2023): 1411–48. http://dx.doi.org/10.1090/btran/162.

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Continuing from Cho, Kim, and Lee [General Law of iterated logarithm for Markov processes: Limsup law, arXiv:2102,01917v3], in this paper, we discuss general criteria and forms of liminf laws of iterated logarithm (LIL) for continuous-time Markov processes. Under some minimal assumptions, which are weaker than those in Cho et al., we establish liminf LIL at zero (at infinity, respectively) in general metric measure spaces. In particular, our assumptions for liminf law of LIL at zero and the form of liminf LIL are truly local so that we can cover highly space-inhomogenous cases. Our results cover all examples in Cho et al. including random conductance models with long range jumps. Moreover, we show that the general form of liminf law of LIL at zero holds for a large class of jump processes whose jumping measures have logarithmic tails and Feller processes with symbols of varying order which are not covered before.

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47

Homburg, Annika, Christian H. Weiß, Layth C. Alwan, Gabriel Frahm und Rainer Göb. „Evaluating Approximate Point Forecasting of Count Processes“. Econometrics 7, Nr. 3 (06.07.2019): 30. http://dx.doi.org/10.3390/econometrics7030030.

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In forecasting count processes, practitioners often ignore the discreteness of counts and compute forecasts based on Gaussian approximations instead. For both central and non-central point forecasts, and for various types of count processes, the performance of such approximate point forecasts is analyzed. The considered data-generating processes include different autoregressive schemes with varying model orders, count models with overdispersion or zero inflation, counts with a bounded range, and counts exhibiting trend or seasonality. We conclude that Gaussian forecast approximations should be avoided.

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48

Andronov, I. V. „Modeling the scattering processes on a crack in an elastic plate with the help of a zero-range potential“. Journal of Mathematical Sciences 73, Nr. 3 (Februar 1995): 304–7. http://dx.doi.org/10.1007/bf02362813.

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49

Pismak, Yury, und Olga Shakhova. „Neutrino Oscillations in the Model of Interaction of Spinor Fields with Zero-Range Potential Concentrated on a Plane“. Symmetry 13, Nr. 11 (15.11.2021): 2180. http://dx.doi.org/10.3390/sym13112180.

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Symanzik’s approach to the description of quantum field systems in an inhomogeneous space-time is used to construct a model for the interaction of neutrino fields with matter. In this way, the problem of the influence of strong inhomogeneities of the medium on the processes of oscillations is considered. As a simple example, a model of neutrino scattering on a material plane is investigated. Within this model, in the collisions of particles with planes, a special filtration mechanism can be formed. It has a significant impact on the dynamics of subsequent neutrino oscillations which are analogous to the Mikheev-Smirnov-Wolfenstein effect at propagation of these particles in an adiabatic medium. Taking into account the possibility of the filtration process in a highly inhomogeneous environment can be useful in planning and carrying out experimental studies of neutrino physics. It can also be considered by investigations of the role of neutrino in astrophysical processes by means of numerical simulations methods.

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50

Pruss, Alexander R. „Infinite Lotteries, Perfectly Thin Darts and Infinitesimals“. Thought: A Journal of Philosophy 1, Nr. 2 (2012): 81–89. http://dx.doi.org/10.1002/tht.13.

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One of the problems that Bayesian regularity, the thesis that all contingent propositions should be given probabilities strictly between zero and one, faces is the possibility of random processes that randomly and uniformly choose a number between zero and one. According to classical probability theory, the probability that such a process picks a particular number in the range is zero, but of course any number in the range can indeed be picked. There is a solution to this particular problem on the books: a measure that assigns the same infinitesimal probability to each number between zero and one. I will show that such a measure, while mathematically interesting, is pathological for use in confirmation theory, for the same reason that a measure that assigns an infinitesimal probability to each possible outcome in a countably infinite lottery is pathological. The pathology is that one can force someone to assign a probability within an infinitesimal of one to an unlikely event.

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