Relevant bibliographies by topics / Fluctuation theorem

Academic literature on the topic 'Fluctuation theorem'

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Published: 4 June 2021
Last updated: 10 March 2023

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Journal articles on the topic "Fluctuation theorem"

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WOJTKOWSKI, MACIEJ P. "Abstract fluctuation theorem." Ergodic Theory and Dynamical Systems 29, no. 1 (February 2009): 273–79. http://dx.doi.org/10.1017/s0143385708000163.

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AbstractWe formulate an abstract fluctuation theorem which sheds light on mathematical relations between the fluctuation theorems of Bochkov and Kuzovlev [Contribution to the general theory of thermal fluctuations in nonlinear systems. Sov. Phys.–JETP45 (1977), 125] and Jarzynski [Hamiltonian derivation of a detailed fluctuation theorem. J. Stat. Phys.98 (2001), 77–102] on the one hand, and those of Evans and Searles [Equilibrium microstates which generate second law violating steady states. Phys. Rev. E 50 (1994), 1645–1648] and Gallavotti and Cohen [Dynamical ensembles in stationary states. J. Stat. Phys.80 (1995), 931–970] on the other.
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Gallavotti, Giovanni. "Fluctuation theorem." Scholarpedia 3, no. 2 (2008): 5904. http://dx.doi.org/10.4249/scholarpedia.5904.

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Rao, Riccardo, and Massimiliano Esposito. "Detailed Fluctuation Theorems: A Unifying Perspective." Entropy 20, no. 9 (August 24, 2018): 635. http://dx.doi.org/10.3390/e20090635.

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We present a general method to identify an arbitrary number of fluctuating quantities which satisfy a detailed fluctuation theorem for all times within the framework of time-inhomogeneous Markovian jump processes. In doing so, we provide a unified perspective on many fluctuation theorems derived in the literature. By complementing the stochastic dynamics with a thermodynamic structure (i.e., using stochastic thermodynamics), we also express these fluctuating quantities in terms of physical observables.
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Jinwoo, Lee. "Fluctuation Theorem of Information Exchange within an Ensemble of Paths Conditioned on Correlated-Microstates." Entropy 21, no. 5 (May 7, 2019): 477. http://dx.doi.org/10.3390/e21050477.

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Fluctuation theorems are a class of equalities that express universal properties of the probability distribution of a fluctuating path functional such as heat, work or entropy production over an ensemble of trajectories during a non-equilibrium process with a well-defined initial distribution. Jinwoo and Tanaka (Jinwoo, L.; Tanaka, H. Sci. Rep. 2015, 5, 7832) have shown that work fluctuation theorems hold even within an ensemble of paths to each state, making it clear that entropy and free energy of each microstate encode heat and work, respectively, within the conditioned set. Here we show that information that is characterized by the point-wise mutual information for each correlated state between two subsystems in a heat bath encodes the entropy production of the subsystems and heat bath during a coupling process. To this end, we extend the fluctuation theorem of information exchange (Sagawa, T.; Ueda, M. Phys. Rev. Lett. 2012, 109, 180602) by showing that the fluctuation theorem holds even within an ensemble of paths that reach a correlated state during dynamic co-evolution of two subsystems.
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Evans, Denis J., and Debra J. Searles. "The Fluctuation Theorem." Advances in Physics 51, no. 7 (November 2002): 1529–85. http://dx.doi.org/10.1080/00018730210155133.

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Pérez-Espigares, Carlos, Frank Redig, and Cristian Giardinà. "Spatial fluctuation theorem." Journal of Physics A: Mathematical and Theoretical 48, no. 35 (August 11, 2015): 35FT01. http://dx.doi.org/10.1088/1751-8113/48/35/35ft01.

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Mittag, Emil, Debra J. Searles, and Denis J. Evans. "Isobaric–isothermal fluctuation theorem." Journal of Chemical Physics 116, no. 16 (April 22, 2002): 6875–79. http://dx.doi.org/10.1063/1.1462043.

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Gallavottia, G. "Fluctuation theorem and chaos." European Physical Journal B 64, no. 3-4 (April 2, 2008): 315–20. http://dx.doi.org/10.1140/epjb/e2008-00137-6.

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Petersen, Charlotte F., Denis J. Evans, and Stephen R. Williams. "The instantaneous fluctuation theorem." Journal of Chemical Physics 139, no. 18 (November 14, 2013): 184106. http://dx.doi.org/10.1063/1.4829445.

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Ayton, Gary, Denis J. Evans, and Debra J. Searles. "A local fluctuation theorem." Journal of Chemical Physics 115, no. 5 (August 2001): 2033–37. http://dx.doi.org/10.1063/1.1385158.

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Dissertations / Theses on the topic "Fluctuation theorem"

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Carberry, David Michael, and dave_carberry@yahoo com au. "Optical Tweezers: Experimental Demonstrations of the Fluctuation Theorem." The Australian National University. Research School of Chemistry, 2006. http://thesis.anu.edu.au./public/adt-ANU20060410.122727.

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In the late 19th and early 20th centuries famous scientists like Boltzmann, Loschmidt, Maxwell and Einstein tried, unsuccessfully, to find the link between the time-reversible equations of motion of individual molecules and irreversible thermodynamics. The solution to this puzzle was found in 1993, and the link is now known as the Fluctuation Theorem (FT). In the decade that followed theory and computer simulation tested the FT and, in 2002, an experiment indirectly demonstrated the FT.¶ This thesis describes original experiments that demonstrate the FT directly using Optical Tweezers. A related expression, known as the Kawasaki Identity, is also experimentally demonstrated. These experimental results provide a rigorous demonstration that irreversible dynamics can be obtained from a system with time-reversible dynamics.
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Carberry, David Michael. "Optical tweezers : experimental demonstrations of the fluctuation theorem /." View thesis entry in Australian Digital Theses Program, 2005. http://thesis.anu.edu.au/public/adt-ANU20060410.122727/index.html.

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Bulnes, Cuetara Gregory. "Fluctuation theorem for quantum electron transport in mesoscopic circuits." Doctoral thesis, Universite Libre de Bruxelles, 2013. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/209435.

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Dans cette thèse nous étudions les propriétés statistique des courants dans des systèmes à l'échelle mésoscopique. Nous utilisons le formalisme de la statistique de comptage afin de caractériser les fluctuations de courant importantes à cette échelle. Celle-ci est obtenue en partant du Hamiltonien microscopique décrivant la dynamique des électrons sur le circuit considéré dans le régime quantique.

Nous considérons deux modèles particuliers de circuits à deux canaux, chacun comportant deux électrodes. Le premier modèle étudié est constitué de deux plots quantiques en couplage capacitif, et chacun échangeant des électrons avec deux électrodes. Le deuxième modèle est quant à lui constitué d'un double plot quantique connecté à deux électrodes et modulant le courant dans un point quantique formé lui-même par la jonction de deux électrodes. Pour ces deux modèles, chaque canal est soumis à une différence de potentiel, ou force thermodynamique, générant des courants stationnaires fluctuants.

La statistique des courants pour ces deux modèles est obtenue en utilisant une équation maîtresse pour les probabilités d'occupation dans les plots quantiques et le nombre d'électrons transférés entre ceux-ci et les électrodes. Nous vérifions que la distribution de probabilité jointes des courants dans chaque canal ainsi obtenue vérifie un théorème de fluctuation dans la limite des temps long faisant intervenir les forces thermodynamique des deux canaux.

La question de l'émergence d'un théorème de fluctuation effectif pour la distribution de probabilité marginale du courant dans un des deux canaux est également investiguée. Nous montrons que dans la limite ou le rapport des courants est grande, un tel théorème de fluctuation effectif est satisfait individuellement pour le canal de plus faible courant comme observé expérimentalement. Ce théorème fait intervenir une affinité effective dépendante des forces thermodynamiques des deux canaux et des spécificités du modèle considéré. Son étude détaillée est faite pour les deux modèles mentionnés.

Par ailleurs, nous posons également la question de l'existence d'un théorème de fluctuation pour des temps de mesure finis. Nous montrons qu'en présence d'un théorème de fluctuation dans la limite de temps longs, un critère peut être énoncé sur la condition initiale des plots quantiques menant à un théorème de fluctuations à temps fini. Ce critère est également étendu au cas des théorèmes de fluctuations effectifs.

Finalement, nous faisons une étude thermodynamique du modèle composé d'un double plot quantique en présence de différences de potentiel électrique et de température entre les électrodes du circuit.
Doctorat en Sciences
info:eu-repo/semantics/nonPublished

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Siemer, Bernd, Viktor Holubec, Petr Chvosta, and Philipp Maass. "Fluctuation dissipation theorem and Onsager coefficients in driven diffusion systems." Universitätsbibliothek Leipzig, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-198659.

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Siemer, Bernd, Viktor Holubec, Petr Chvosta, and Philipp Maass. "Fluctuation dissipation theorem and Onsager coefficients in driven diffusion systems." Diffusion fundamentals 24 (2015) 47, S. 1, 2015. https://ul.qucosa.de/id/qucosa%3A14567.

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Gundermann, Julia. "The Crooks Fluctuation Theorem Derived for Two-Dimensional Fluid Flow and its Potential to Improve Predictions." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-156748.

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The weather dynamics are significantly determined by the motion of the atmosphere and the ocean. This motion is often turbulent, characterized by fluctuations of the flow velocity over wide spatial and temporal scales. This fact, besides limited observability and inaccurate models, impedes the predictability of quantities such as the velocity of winds, which are relevant for the everyday life. One is always interested in improving such predictions - by employing better models or obtaining more information about the system. The Crooks fluctuation theorem is a relation from nonequilibrium thermodynamics, which has its typical applications in nanoscale systems. It quantifies the distribution of imposed work in a process, where the system is pushed out of thermal equilibrium. This distribution is broadened due to the fluctuations of the microscopic degrees of freedom in the system. The fluctuations of the velocity field in turbulent flow suggest the derivation of an analogy of Crooks' theorem for this macroscopic system. The knowledge about the validity of such a relation is additional information, which one in reverse could use to improve predictions about the system. In this thesis both issues are addressed: the derivation of the theorem, and the improvement of predictions. We illustrate the application of Crooks' theorem to hydrodynamic flow within a model of a two-dimensional inviscid and incompressible fluid field, when pushed out of dynamical equilibrium. The flow on a rectangular domain is approximated by the two-dimensional vorticity equation with spectral truncation. In this setting, the equilibrium statistics of the flow can be described through a canonical ensemble with two conserved quantities, kinetic energy and enstrophy. To perturb the system out of equilibrium, we change the shape of the domain according to a protocol, which changes the kinetic energy but leaves the enstrophy constant. This is interpreted as doing work to the system. Evolving along a forward and its corresponding backward process, we find that the distributions of the work performed in these processes satisfy the Crooks relation with parameters derived from the canonical ensembles. We address the issue of prediction in this thesis in a concrete setting: There are examples where the distributions of a variable in the forward and the backward process collapse into one, hence Crooks' theorem relates the distribution of one variable with itself. For a finite data set drawn from such a distribution, we are interested in an estimate of this variable to exceed a certain threshold. We demonstrate that, using the knowledge about Crooks' relation, forecast schemes can be proposed which improve compared to a pure frequency estimate on the data set. The findings are illustrated in three examples, studies of parameters such as exceedance threshold and data set size are presented.
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Gundermann, Julia. "The Crooks Fluctuation Theorem Derived for Two-Dimensional Fluid Flow and its Potential to Improve Predictions." Doctoral thesis, Technische Universität Dresden, 2014. https://tud.qucosa.de/id/qucosa%3A28433.

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The weather dynamics are significantly determined by the motion of the atmosphere and the ocean. This motion is often turbulent, characterized by fluctuations of the flow velocity over wide spatial and temporal scales. This fact, besides limited observability and inaccurate models, impedes the predictability of quantities such as the velocity of winds, which are relevant for the everyday life. One is always interested in improving such predictions - by employing better models or obtaining more information about the system. The Crooks fluctuation theorem is a relation from nonequilibrium thermodynamics, which has its typical applications in nanoscale systems. It quantifies the distribution of imposed work in a process, where the system is pushed out of thermal equilibrium. This distribution is broadened due to the fluctuations of the microscopic degrees of freedom in the system. The fluctuations of the velocity field in turbulent flow suggest the derivation of an analogy of Crooks' theorem for this macroscopic system. The knowledge about the validity of such a relation is additional information, which one in reverse could use to improve predictions about the system. In this thesis both issues are addressed: the derivation of the theorem, and the improvement of predictions. We illustrate the application of Crooks' theorem to hydrodynamic flow within a model of a two-dimensional inviscid and incompressible fluid field, when pushed out of dynamical equilibrium. The flow on a rectangular domain is approximated by the two-dimensional vorticity equation with spectral truncation. In this setting, the equilibrium statistics of the flow can be described through a canonical ensemble with two conserved quantities, kinetic energy and enstrophy. To perturb the system out of equilibrium, we change the shape of the domain according to a protocol, which changes the kinetic energy but leaves the enstrophy constant. This is interpreted as doing work to the system. Evolving along a forward and its corresponding backward process, we find that the distributions of the work performed in these processes satisfy the Crooks relation with parameters derived from the canonical ensembles. We address the issue of prediction in this thesis in a concrete setting: There are examples where the distributions of a variable in the forward and the backward process collapse into one, hence Crooks' theorem relates the distribution of one variable with itself. For a finite data set drawn from such a distribution, we are interested in an estimate of this variable to exceed a certain threshold. We demonstrate that, using the knowledge about Crooks' relation, forecast schemes can be proposed which improve compared to a pure frequency estimate on the data set. The findings are illustrated in three examples, studies of parameters such as exceedance threshold and data set size are presented.
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Wong, Chun-Shang. "Statistical physics principles tested using dusty plasma and aerosol experiments." Diss., University of Iowa, 2018. https://ir.uiowa.edu/etd/6523.

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Statistical physics has been the foundation for much of our understanding about plasma physics. Often, plasma physics phenomena are explained using statistical physics principles and theories. Here, I reverse this paradigm to instead use plasma experiments to test statistical physics principles. In this thesis, I test statistical physics principles with an experimental dusty plasma, which is a four-component mixture of micron-sized ``dust'' particles, electrons, ions, and neutral gas molecules. When immersed in the plasma, the dust particles acquire large negative charges, since they accumulate more electrons than ions. Due to their large electric charges, the dust particles have interparticle potential energies that greatly exceed their kinetic energies, so that the collection of dust particles is considered to be a strongly coupled plasma. Like other strongly coupled plasma, the collection of dust particles can exhibit solid-like or liquid-like behavior. A key advantage offered by dusty plasma experiments is the ability to track the motion of individual dust particles. Dust particles are sufficiently large to allow for direct imaging using a video camera, so that time series data can be obtained for particle positions and velocities. These particle-level data provide a richer description of the dynamics and structure than can be obtained for most other strongly coupled plasmas, simple liquids, or solid materials. In particular, the particle-level data of positions and velocities are often required inputs for testing statistical physics theories or principles. The dusty plasma data I analyze are from the experiment of Haralson~\textit{et al.} [1,2], where dust particles were electrically levitated in a single horizontal layer within a vacuum chamber. The collection of dust particles initially settled into a crystalline lattice with solid-like behavior. To reach a liquid-like state, or to drive a shear flow, dust particles were manipulated using the radiation pressure force of lasers. In this thesis, I test three different statistical physics principles using an experimental dusty plasma. First, I test the fluctuation theorem, which was first was presented in 1993 by Evans, Cohen, and Morriss [3]. The fluctuation theorem, which is one of the most important recent developments in statistical physics, quantifies the probability that the entropy production rate will temporarily fluctuate to negative values in ``violations'' of the second law of thermodynamics. The original formulation of the fluctuation theorem described the entropy production due to viscous heating in a shear flow; this version of the fluctuation theorem had never been experimentally demonstrated in a liquid of any kind. In Chapter 2, I provide the first such demonstration by showing that the entropy production rate in a liquid-like dusty plasma shear flow satisfies the fluctuation theorem. This result also serves as the first demonstration that a strongly coupled plasma obeys the fluctuation theorem. Second, I measure the Einstein frequency $\Omega_E$, which describes the stochastic process of collisions in a strongly coupled plasma, and I compare my measurement to predictions made in the literature that used simulation data. Often, for weakly coupled plasma, a collision frequency is obtained to provide a measure of the strength of particle-particle interactions. However, for strongly coupled plasma (and likewise for liquids and solids), a collision frequency is not well defined since collisions are multibody and occur continuously. Another quantity is needed to describe the strength of particle-particle interactions. I propose that the Einstein frequency $\Omega_E$, a concept more commonly used in solid physics, is better suited for describing particle-particle interactions in a strongly coupled plasma. In Chapter 3, I present and use a new method to obtain the Einstein frequency of a 2D dusty plasma in both a liquid-like state and a crystalline state. My measurement of the Einstein frequency, which serves as a proxy for a collision frequency, is consistent with simulation predictions in the literature. Third, I present particle-coordination survival functions, which provide a richer description of microscopic dynamics in a liquid than the commonly used relaxation time. Relaxation times have been used, for example the Maxwell relaxation time, to describe the characteristic time scale for the crossover between elastic and viscous behavior in viscoelastic liquids. However, relaxation times are single-value measures that cannot fully describe the complexity of a liquid. In Chapter 4, using a survival function that retains temporal information about the local structural in a liquid, I discover that the microscopic arrangements in a liquid-like 2D dusty plasma have multiple time scales. Unexpectedly, non-defects have two time scales, while defects have one. My survival functions are time-series graphs of the probability that a particle's number of nearest neighbors, i.e., its coordination, remains the same. The two time scales for non-defects are revealed by an elbow in their survival-function curve. As a spinoff with a considerable amount of importance, I performed the simplest fluctuation theorem experiment to date, using an aerosol. An aerosol is simply a particle that is immersed in air. In Chapter 5, I show that the fluctuation theorem is applicable for an aerosol particle undergoing free-fall in air due to gravity. While the particle typically fell downwards, it is observed to occasionally fall upwards, against the force of gravity. For such upward displacements, the work done on the particle is negative, which is a temporary violation of the second law. I find that the probability of these temporarily violations obeys the work fluctuation theorem. This result also allowed an application: a novel diagnostic method to measure the mass of aerosol particles.
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Graf, Daniel [Verfasser], and Christian [Akademischer Betreuer] Ochsenfeld. "Development of efficient electronic-structure methods based on the adiabatic-connection fluctuation-dissipation theorem and Møller–Plesset perturbation theory / Daniel Graf ; Betreuer: Christian Ochsenfeld." München : Universitätsbibliothek der Ludwig-Maximilians-Universität, 2021. http://d-nb.info/123217629X/34.

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Watanabe, Kota. "Non-adiabatic effects in quantum geometric pumping." Kyoto University, 2017. http://hdl.handle.net/2433/225998.

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Books on the topic "Fluctuation theorem"

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Stratonovich, Rouslan L. Nonlinear Nonequilibrium Thermodynamics I: Linear and Nonlinear Fluctuation-Dissipation Theorems. Berlin, Heidelberg: Springer Berlin Heidelberg, 1992.

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Stratonovich, R. L. Nonlinear nonequilibrium thermodynamics I: Linear and nonlinear fluctuation-dissipation theorems. Berlin: Springer-Verlag, 1992.

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D, Wagner, Brauneck W, Solontsov A, North Atlantic Treaty Organization. Scientific Affairs Division., and NATO Advanced Research Workshop on Itinerant Electron Magnetism: Fluctuation Effects & Critical Phenomena (1997 : Moscow, Russia), eds. Itinerant electron magnetism: Fluctuation effects. Dordrecht: Kluwer Academic Publishers, 1998.

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Quantum fluctuations. Princeton, N.J: Princeton University Press, 1985.

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Quantum fluctuations of spacetime. Singapore: World Scientific, 2005.

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Hyperbolic dynamics, fluctuations, and large deviations. Providence, Rhode Island: American Mathematical Society, 2015.

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Ryaboshlyk, Volodymyr. Crisis and embodied innovations: Fluctuating trend vs fluctuations around trend, the real vs the financial, variety vs average. New York: Palgrave Macmillan, 2014.

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Croissance, fluctuations et chaos. Paris: Economica, 1999.

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1954-, Reynaud S., Giacobino E, and Zinn-Justin Jean, eds. Fluctuations quantiques: Les Houches, Session LXIII, 27 juin-28 juillet 1995 = Quantum fluctuations. Amsterdam: Elsevier, 1997.

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Moriya, Tôru. Spin fluctuations in itinerant electron magnetism. Berlin: Springer, 1985.

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Book chapters on the topic "Fluctuation theorem"

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Dusad, Ritika. "Fluctuation Dissipation Theorem." In Magnetic Monopole Noise, 57–59. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58193-0_7.

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Okabe, Yasunori. "Langevin Equation and Fluctuation-Dissipation Theorem." In Stochastic Processes and their Applications, 275–99. Dordrecht: Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-009-2117-7_16.

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Abaimov, Sergey G. "Correlations, Susceptibility, and the Fluctuation–Dissipation Theorem." In Springer Series in Synergetics, 289–364. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-12469-8_6.

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Gaspard, Pierre. "Fluctuation Theorem, Nonequilibrium Work, and Molecular Machines." In From Non-Covalent Assemblies to Molecular Machines, 307–12. Weinheim, Germany: Wiley-VCH Verlag GmbH & Co. KGaA, 2010. http://dx.doi.org/10.1002/9783527632817.ch21.

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Boos, Jens. "Vacuum Polarization and the Fluctuation-Dissipation Theorem." In Springer Theses, 131–57. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-82910-0_6.

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Steinchen, Annie. "Optimization in Engineering Processes: An Application of a Generalized Fluctuation–Dissipation Theorem." In Nonequilibrium Thermodynamics and Fluctuation Kinetics, 271–75. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-04458-8_13.

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Györffy, B. L., G. Litak, and K. I. Wysokiński. "Anderson Theorem and Spatial Fluctuations in the Gap of Disordered Superconductors." In Fluctuation Phenomena in High Temperature Superconductors, 385–96. Dordrecht: Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-94-011-5536-6_32.

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Reinke, N., D. Nickelsen, A. Engel, and J. Peinke. "Application of an Integral Fluctuation Theorem to Turbulent Flows." In Springer Proceedings in Physics, 19–25. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-29130-7_3.

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Govorov, Alexander, Pedro Ludwig Hernández Martínez, and Hilmi Volkan Demir. "Theoretical Approaches: Exciton Theory, Coulomb Interactions and Fluctuation-Dissipation Theorem." In Understanding and Modeling Förster-type Resonance Energy Transfer (FRET), 41–51. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-287-378-1_5.

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Hasegawa, Hiroshi H., and Yoshikazu Ohtaki. "Generalization of the Fluctuation-Dissipation Theorem for Excess Heat Production." In Geometric Structures of Phase Space in Multidimensional Chaos, 353–71. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2005. http://dx.doi.org/10.1002/0471712531.ch19.

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Conference papers on the topic "Fluctuation theorem"

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Pal, P. S., Sourabh Lahiri, and A. M. Jayannavar. "Quantum heat fluctuation theorem." In DAE SOLID STATE PHYSICS SYMPOSIUM 2016. Author(s), 2017. http://dx.doi.org/10.1063/1.4980636.

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Shiktorov, P. "Can Quantum Regression Theorem Be Reconciled with Quantum Fluctuation Dissipation Theorem ?" In UNSOLVED PROBLEMS OF NOISE AND FLUCTUATIONS: UPoN 2002: Third International Conference on Unsolved Problems of Noise and Fluctuations in Physics, Biology, and High Technology. AIP, 2003. http://dx.doi.org/10.1063/1.1584937.

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Akuzawa, Naohiro, Mitsuhiro Akimoto, Michio Tokuyama, Irwin Oppenheim, and Hideya Nishiyama. "The Fluctuation Theorem in Stochastic Chemical Reaction Systems." In COMPLEX SYSTEMS: 5th International Workshop on Complex Systems. AIP, 2008. http://dx.doi.org/10.1063/1.2897895.

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Corberi, Federico. "Off-Equilibrium Fluctuation-Dissipation Theorem in Coarsening Systems." In MODELING OF COMPLEX SYSTEMS: Seventh Granada Lectures. AIP, 2003. http://dx.doi.org/10.1063/1.1571302.

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Devel, M., R. Bourquin, S. Ghosh, J. Imbaud, G. Cibiel, and F. Sthal. "Quartz crystal resonator noise and fluctuation-dissipation theorem considerations." In 2012 IEEE International Frequency Control Symposium (FCS). IEEE, 2012. http://dx.doi.org/10.1109/fcs.2012.6243665.

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Virgo, Nathaniel. "A Bayesian perspective on Markovian dynamics and the fluctuation theorem." In BAYESIAN INFERENCE AND MAXIMUM ENTROPY METHODS IN SCIENCE AND ENGINEERING: 32nd International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering. AIP, 2013. http://dx.doi.org/10.1063/1.4820008.

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Nakamura, Shuji, Yoshiaki Yamauchi, Masayuki Hashisaka, Kensaku Chida, Kensuke Kobayashi, Teruo Ono, Renaud Leturcq, et al. "Experimental test of Fluctuation Theorem in a quantum coherent conductor." In 2011 21st International Conference on Noise and Fluctuations (ICNF). IEEE, 2011. http://dx.doi.org/10.1109/icnf.2011.5994319.

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Bonachita, Mike A., and Mark Nolan P. Confesor. "Applying fluctuation theorem on position fluctuations of an intruder penetrating a 2D wet granular medium near jamming state." In STRUCTURE, FUNCTION AND DYNAMICS FROM NM TO GM: Proceedings of the 8th Jagna International Workshop. Author(s), 2017. http://dx.doi.org/10.1063/1.4996527.

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Yurkin, Maxim A., and Alexander E. Moskalensky. "Polarizability and fluctuation-dissipation theorem for a point dipole: Does shape matter?" In INTERNATIONAL CONFERENCE ON PHYSICS AND CHEMISTRY OF COMBUSTION AND PROCESSES IN EXTREME ENVIRONMENTS (COMPHYSCHEM’20-21) and VI INTERNATIONAL SUMMER SCHOOL “MODERN QUANTUM CHEMISTRY METHODS IN APPLICATIONS”. AIP Publishing, 2020. http://dx.doi.org/10.1063/5.0031688.

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Gradoni, Gabriele, and Luk R. Arnaut. "Theoretical model of transient random fields based on the fluctuation-dissipation theorem." In 2010 URSI International Symposium on Electromagnetic Theory (EMTS 2010). IEEE, 2010. http://dx.doi.org/10.1109/ursi-emts.2010.5637041.

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Reports on the topic "Fluctuation theorem"

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Deffner, Sebastian. Quantum fluctuation theorems in open systems. Office of Scientific and Technical Information (OSTI), March 2015. http://dx.doi.org/10.2172/1209322.

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Mercan, Yusuf, Benjamin Schoefer, and Petr Sedláček. A Congestion Theory of Unemployment Fluctuations. Cambridge, MA: National Bureau of Economic Research, May 2021. http://dx.doi.org/10.3386/w28771.

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Christiano, Lawrence, and Martin Eichenbaum. Is Theory Really Ahead of Measurement? Current Real Business Cycle Theories and Aggregate Labor Market Fluctuations. Cambridge, MA: National Bureau of Economic Research, September 1988. http://dx.doi.org/10.3386/w2700.

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Zhang, Junhua. Theory of spin-fluctuation induced superconductivity in iron-based superconductors. Office of Scientific and Technical Information (OSTI), January 2011. http://dx.doi.org/10.2172/1029610.

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Davig, Troy, and Eric Leeper. Fluctuating Macro Policies and the Fiscal Theory. Cambridge, MA: National Bureau of Economic Research, March 2005. http://dx.doi.org/10.3386/w11212.

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Kamrath, Matthew, Vladimir Ostashev, D. Wilson, Michael White, Carl Hart, and Anthony Finn. Vertical and slanted sound propagation in the near-ground atmosphere : amplitude and phase fluctuations. Engineer Research and Development Center (U.S.), May 2021. http://dx.doi.org/10.21079/11681/40680.

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Abstract:
Sound propagation along vertical and slanted paths through the near-ground atmosphere impacts detection and localization of low-altitude sound sources, such as small unmanned aerial vehicles, from ground-based microphone arrays. This article experimentally investigates the amplitude and phase fluctuations of acoustic signals propagating along such paths. The experiment involved nine microphones on three horizontal booms mounted at different heights to a 135-m meteorological tower at the National Wind Technology Center (Boulder, CO). A ground-based loudspeaker was placed at the base of the tower for vertical propagation or 56m from the base of the tower for slanted propagation. Phasor scatterplots qualitatively characterize the amplitude and phase fluctuations of the received signals during different meteorological regimes. The measurements are also compared to a theory describing the log-amplitude and phase variances based on the spectrum of shear and buoyancy driven turbulence near the ground. Generally, the theory correctly predicts the measured log-amplitude variances, which are affected primarily by small-scale, isotropic turbulent eddies. However, the theory overpredicts the measured phase variances, which are affected primarily by large-scale, anisotropic, buoyantly driven eddies. Ground blocking of these large eddies likely explains the overprediction.
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John A. Krommes. Nonequilibrium Gyrokinetic Fluctuation Theory and Sampling Noise in Gyrokinetic Particle-in-cell Simulations. Office of Scientific and Technical Information (OSTI), October 2007. http://dx.doi.org/10.2172/961750.

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Mansur, L. K., A. D. Brailsford, and W. A. Coghlan. Cascade diffusion theory of sink capture fluctuations during irradiation of a solid. Office of Scientific and Technical Information (OSTI), January 1985. http://dx.doi.org/10.2172/6108807.

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Stogryn, Alex, and Mostafa A. Karam. The Multiple Scattering Contributions in the Strong Fluctuation Theory to the Microwave Brightness Temperature. Fort Belvoir, VA: Defense Technical Information Center, February 1994. http://dx.doi.org/10.21236/ada277721.

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Dewan, Edmond M. An Experimental Test to Compare Viability of Various Theories of Atmospheric Velocity Fluctuations. Fort Belvoir, VA: Defense Technical Information Center, June 2001. http://dx.doi.org/10.21236/ada407863.

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