pith. sign in

arxiv: 2605.16209 · v1 · pith:O2VB5NOYnew · submitted 2026-05-15 · ❄️ cond-mat.stat-mech

An agitated oscillator chain

Pith reviewed 2026-05-19 18:37 UTC · model grok-4.3

classification ❄️ cond-mat.stat-mech
keywords oscillator chainrun-and-tumble particlesactive matterLangevin dynamicsnegative frictionRayleigh oscillatorvelocity persistence
0
0 comments X

The pith

Coupling a harmonic oscillator chain to run-and-tumble particles creates self-sustained fluctuations with many-body Rayleigh-like dynamics.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper shows that a passive chain of harmonic oscillators, when coupled to an active bath of run-and-tumble particles, acquires an effective dynamics that includes a streaming term, friction, and noise. At high persistence in the particle bath, the friction coefficient becomes negative, leading to an instability. Nonlinear effects then stabilize this into pulsations of displacements and persistent velocities along the chain, turning the system into a self-sustained fluctuating medium. This demonstrates how activity from the bath can be transferred to induce emergent collective behaviors in an otherwise passive system.

Core claim

Assuming time-scale separation, the induced Langevin chain dynamics has explicit expressions for the streaming term, friction coefficient, and noise amplitude. At high persistence of the run-and-tumble particle bath, the linear friction turns negative, creating an instability that is arrested at long times due to nonlinear effects, reminiscent of a Rayleigh oscillator. Thus a passive harmonic chain can be transformed by its coupling to active matter into a self-sustained fluctuating medium with many-body Rayleigh-like dynamics, resulting in pulsations of the displacements, spatial oscillations, and the emergence of persistence in velocities along the chain.

What carries the argument

The induced Langevin dynamics for the oscillator chain, with a friction coefficient that becomes negative at high bath persistence, leading to anti-damping stabilized by nonlinear terms into Rayleigh-like behavior.

If this is right

  • The linear friction turns negative at high persistence, creating an instability in the chain.
  • Nonlinear effects arrest the anti-damping at long times.
  • Pulsations of the displacements emerge in the chain.
  • Spatial oscillations appear along the chain.
  • Persistence develops in the velocities of the oscillators.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • Similar couplings might produce self-sustained behaviors when other passive systems interact with active baths.
  • Velocity autocorrelation functions could be measured in experiments to detect the predicted persistence.
  • The mechanism offers a route to design active metamaterials from passive oscillator networks.

Load-bearing premise

The derivation assumes time-scale separation between the fast run-and-tumble particle bath and the slower oscillator chain to allow explicit averaging.

What would settle it

If simulations or experiments show that the effective friction remains positive even at high persistence of the run-and-tumble particles, or if no pulsations and velocity persistence develop, the claim of many-body Rayleigh-like dynamics would be falsified.

Figures

Figures reproduced from arXiv: 2605.16209 by Aaron Beyen, Christian Maes, Ion Santra.

Figure 1
Figure 1. Figure 1: FIG. 1: A configuration of active particles (red disks) with associated spins (white arrow) on a [PITH_FULL_IMAGE:figures/full_fig_p005_1.png] view at source ↗
Figure 2
Figure 2. Figure 2: FIG. 2: Time evolution of the [PITH_FULL_IMAGE:figures/full_fig_p009_2.png] view at source ↗
Figure 3
Figure 3. Figure 3: FIG. 3: Phase-space trajectories of a tagged oscillator for different values of the bath activity. [PITH_FULL_IMAGE:figures/full_fig_p010_3.png] view at source ↗
Figure 4
Figure 4. Figure 4: FIG. 4: Temporal evolution of the mean-squared velocity (left) and mean-squared displacement [PITH_FULL_IMAGE:figures/full_fig_p011_4.png] view at source ↗
Figure 5
Figure 5. Figure 5: FIG. 5: Stationary distributions of a tagged oscillator. Left: velocity distribution [PITH_FULL_IMAGE:figures/full_fig_p013_5.png] view at source ↗
Figure 6
Figure 6. Figure 6: FIG. 6: Equal-time spatial correlations in the stationary regime. Left: normalized velocity [PITH_FULL_IMAGE:figures/full_fig_p015_6.png] view at source ↗
Figure 7
Figure 7. Figure 7: FIG. 7: Normalized static structure factors. Left: velocity structure factor [PITH_FULL_IMAGE:figures/full_fig_p015_7.png] view at source ↗
Figure 8
Figure 8. Figure 8: FIG. 8: Equal-time displacement-velocity cross-correlations [PITH_FULL_IMAGE:figures/full_fig_p017_8.png] view at source ↗
read the original abstract

We study how the stationary dynamics of an oscillator chain is modified when coupled to a bath of run-and-tumble particles. First, assuming time-scale separation, we derive the induced Langevin chain dynamics with explicit expressions for the streaming term, friction coefficient, and noise amplitude. At high persistence of the run-and-tumble particle bath, the linear friction turns negative, creating an instability. Second, we find that this anti-damping is arrested at long times due to nonlinear effects, reminiscent of a Rayleigh oscillator. We conclude that a passive harmonic chain can be transformed by its coupling to active matter into a self-sustained fluctuating medium with many-body Rayleigh-like dynamics. That transfer of activity results in pulsations of the displacements, spatial oscillations, and the emergence of persistence in velocities along the chain.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

1 major / 1 minor

Summary. The paper studies a harmonic oscillator chain coupled to a bath of run-and-tumble particles. Assuming time-scale separation, it derives an effective Langevin description for the chain with explicit expressions for a streaming term, friction coefficient, and noise amplitude obtained by averaging over the bath. At high bath persistence the linear friction becomes negative, producing an instability that is arrested by nonlinear effects, yielding self-sustained pulsations, spatial oscillations, and velocity persistence reminiscent of many-body Rayleigh dynamics.

Significance. If the central derivation holds, the work supplies a parameter-free route by which activity in a run-and-tumble bath is transferred to a passive oscillator chain, converting it into a fluctuating medium with emergent Rayleigh-like arrest and collective persistence. The explicit, closed-form expressions for the induced friction and noise constitute a concrete strength that could be tested against simulations or extended to other active baths.

major comments (1)
  1. [§2] §2 (derivation of the effective Langevin chain): the time-scale separation assumption used to perform the bath averaging is least secure precisely in the high-persistence regime where the friction coefficient changes sign and becomes negative. In that regime the oscillator growth or oscillation times set by |γ| can become comparable to the bath persistence time, undermining the separation invoked to close the averaging step and obtain the Rayleigh-like arrest.
minor comments (1)
  1. [Abstract] The abstract and introduction would benefit from a brief statement of the range of persistence times over which the derived friction remains valid before the separation assumption is expected to fail.

Simulated Author's Rebuttal

1 responses · 0 unresolved

We thank the referee for their careful reading and constructive comments. We address the major comment on the time-scale separation assumption below.

read point-by-point responses
  1. Referee: [§2] §2 (derivation of the effective Langevin chain): the time-scale separation assumption used to perform the bath averaging is least secure precisely in the high-persistence regime where the friction coefficient changes sign and becomes negative. In that regime the oscillator growth or oscillation times set by |γ| can become comparable to the bath persistence time, undermining the separation invoked to close the averaging step and obtain the Rayleigh-like arrest.

    Authors: We agree that the time-scale separation assumption is most vulnerable precisely in the high-persistence regime where the effective friction γ changes sign. The derivation in §2 closes the bath average under the assumption that bath relaxation is fast relative to the oscillator dynamics, which yields the explicit expressions for the streaming term, γ, and noise. When |γ| becomes appreciable, the instability growth time 1/|γ| can approach the bath persistence time, so the separation is only marginal and the effective equation is an approximation. Nevertheless, the sign change in γ itself is a direct consequence of the averaging and correctly signals the onset of activity-induced instability; the subsequent nonlinear arrest into Rayleigh-like pulsations follows from the structure of the effective equation. We will revise §2 to state the validity condition explicitly (e.g., |γ|τ ≪ 1 with τ the bath persistence time) and to note the approximate character of the description in the strongly unstable regime. revision: yes

Circularity Check

0 steps flagged

No circularity; effective Langevin derived explicitly from bath averaging under stated separation

full rationale

The paper assumes time-scale separation to perform explicit averaging over the run-and-tumble bath statistics, yielding closed-form expressions for the streaming term, friction coefficient, and noise amplitude in the oscillator chain's Langevin dynamics. These derived coefficients are then inspected to reveal a sign change in friction at high bath persistence, with subsequent nonlinear analysis showing saturation into Rayleigh-like behavior. No load-bearing step reduces a claimed prediction or result to a fitted parameter, self-definition, or self-citation chain inside the paper; the central many-body dynamics follow directly from the averaged equations without circular reduction to the inputs.

Axiom & Free-Parameter Ledger

0 free parameters · 1 axioms · 0 invented entities

The central claim rests on the time-scale separation assumption that permits explicit averaging of the bath; no free parameters are introduced in the abstract, and no new particles or forces are postulated beyond the given run-and-tumble bath.

axioms (1)
  • domain assumption Time-scale separation between the fast run-and-tumble bath and the slower oscillator chain
    Invoked to derive the effective Langevin dynamics with explicit streaming, friction, and noise terms

pith-pipeline@v0.9.0 · 5655 in / 1418 out tokens · 34413 ms · 2026-05-19T18:37:51.696139+00:00 · methodology

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Reference graph

Works this paper leans on

83 extracted references · 83 canonical work pages · 3 internal anchors

  1. [1]

    G. A. van Lear and G. E. Uhlenbeck. The Brownian Motion of Strings and Elastic Rods.Phys. Rev., 38:1583–1598, 1931

  2. [2]

    D. R. Nelson, T. Piran, and S. Weinberg, editors.Statistical Mechanics of Membranes and Surfaces. World Scientific, 2004

  3. [3]

    Monzel and K

    C. Monzel and K. Sengupta. Measuring shape fluctuations in biological membranes.J. Phys. D: Appl. Phys., 49(24):243002, 2016. 18

  4. [4]

    C. Rovelli. General relativistic statistical mechanics.Phys. Rev. D, 87(8), 2013

  5. [5]

    A. G. Zilman and R. Granek. Undulations and Dynamic Structure Factor of Membranes.Phys. Rev. Lett., 77:4788–4791, 1996

  6. [6]

    Cerda and L

    E. Cerda and L. Mahadevan. Geometry and physics of wrinkling.Phys. Rev. Lett., 90:074302, 2003

  7. [7]

    M. C. Cross and P. C. Hohenberg. Pattern formation outside of equilibrium.Rev. Mod. Phys., 65:851– 1112, 1993

  8. [8]

    J. H.-C. Wang and B. P. Thampatty. An Introductory Review of Cell Mechanobiology.Biomech. Model. Mechanobiol., 5(1):1–16, 2006

  9. [9]

    B. L. Hu and E. Verdaguer. Stochastic Gravity: Theory and Applications.Living Rev. Relativ., 11(1), 2008

  10. [10]

    The National Academies Press, Washington, DC, 2022

    National Academies of Sciences, Engineering, and Medicine.Physics of Life: A Decadal Survey for Biological Physics. The National Academies Press, Washington, DC, 2022

  11. [11]

    Tailleur, G

    J. Tailleur, G. Gompper, M. C. Marchetti, J. M. Yeomans, and C. Salomon.Active Matter and Nonequilibrium Statistical Physics: Lecture Notes of the Les Houches Summer School: Volume 112, September 2018. Oxford University Press, 11 2022

  12. [12]

    Pei and C

    J.-H. Pei and C. Maes. Induced friction on a probe moving in a nonequilibrium medium.Phys. Rev. E, 111(3), 2025

  13. [13]

    Pei and C

    J.-H. Pei and C. Maes. Transfer of Active Motion from Medium to Probe via the Induced Friction and Noise.Phys. Rev. Lett., 136(3), 2026

  14. [14]

    Beyen, C

    A. Beyen, C. Maes, and J.-H. Pei. Coupling an elastic string to an active bath: The emergence of inverse damping.Phys. Rev. E, 112(4), 2025

  15. [15]

    D. A. King, T. P. Russell, and A. K. Omar. Active Particles Destabilize Passive Membranes, 2026. arXiv:2601.16430 [cond-mat.soft]

  16. [16]

    Grover, R

    L. Grover, R. Kapri, and A. Chaudhuri. Spatial organization of multiple species of active particles interacting with an interface.Phys. Rev. E, 111(4), 2025

  17. [17]

    Cagnetta, F.and ˇSkult´ ety, M

    V. Cagnetta, F.and ˇSkult´ ety, M. R. Evans, and D. Marenduzzo. Universal properties of active mem- branes.Phys. Rev. E, 105:L012604, 2022

  18. [18]

    Vandebroek and C

    H. Vandebroek and C. Vanderzande. Dynamics of a polymer in an active and viscoelastic bath.Phys. Rev. E, 92:060601, 2015

  19. [19]

    C. J. Anderson, G. Briand, O. Dauchot, and A. Fern´ andez-Nieves. Polymer-chain configurations in active and passive baths.Phys. Rev. E, 106(6-1):064606, 2022

  20. [20]

    Kaiser and H

    A. Kaiser and H. L¨ owen. Unusual swelling of a polymer in a bacterial bath.J. Chem. Phys., 141(4), 2014

  21. [21]

    Cagnetta, M

    F. Cagnetta, M. R. Evans, and D. Marenduzzo. Statistical mechanics of a single active slider on a fluctuating interface.Phys. Rev. E, 99(4), 2019

  22. [22]

    Bisht and M

    P. Bisht and M. Barma. Interface growth driven by a single active particle.Phys. Rev. E, 100(5), 2019. 19

  23. [23]

    D. Jana, A. Haldar, and A. Basu. Logarithmic or algebraic: Roughening of an active Kardar-Parisi- Zhang surface.Phys. Rev. E, 109(3), 2024

  24. [24]

    Junot, G

    G. Junot, G. Briand, R. Ledesma-Alonso, and O. Dauchot. Active versus passive hard disks against a membrane: Mechanical pressure and instability.Phys. Rev. Lett., 119:028002, 2017

  25. [25]

    G. Wang, T. V. Phan, S. Li, M. Wombacher, J. Qu, Y. Peng, G. Chen, D. I. Goldman, S. A. Levin, R. H. Austin, and L. Liu. Emergent Field-Driven Robot Swarm States.Phys. Rev. Lett., 126:108002, 2021

  26. [26]

    T. V. Phan, G. Wang, L. Liu, and R. H. Austin. Bootstrapped Motion of an Agent on an Adaptive Resource Landscape.Symmetry, 13(2), 2021

  27. [27]

    D´ emery and A

    V. D´ emery and A. Gambassi. Non-Gaussian fluctuations of a probe coupled to a Gaussian field.Phys. Rev. E, 108(4), 2023

  28. [28]

    Venturelli, F

    D. Venturelli, F. Ferraro, and A. Gambassi. Nonequilibrium relaxation of a trapped particle in a near-critical Gaussian field.Phys. Rev. E, 105(5), 2022

  29. [29]

    Reister-Gottfried, S

    E. Reister-Gottfried, S. M. Leitenberger, and U. Seifert. Diffusing proteins on a fluctuating membrane: Analytical theory and simulations.Phys. Rev. E, 81:031903, 2010

  30. [30]

    Gopalakrishnan

    M. Gopalakrishnan. Dynamics of a passive sliding particle on a randomly fluctuating surface.Phys. Rev. E, 69(1), 2004

  31. [31]

    A. H. Bialus, B. Rallabandi, and N. Oppenheimer. Enhancement and suppression of active particle movement due to membrane deformations.J. Fluid Mech., 1024:A42, 2025

  32. [32]

    C. Maes. Response Theory: A Trajectory-Based Approach.Front. Phys., 8, 2020

  33. [33]

    Baiesi, C

    M. Baiesi, C. Maes, and B.Wynants. The modified Sutherland–Einstein relation for diffusive non- equilibria.Proc. R. Soc. A: Math. Phys. Eng. Sci., 467(2136):2792–2809, 2011

  34. [34]

    Demaerel and C

    T. Demaerel and C. Maes. Active processes in one dimension.Phys. Rev. E, 97:032604, 2018

  35. [35]

    I. Santra. Dynamical fluctuations of a tracer coupled to active and passive particles.JPhys.: Complexity, 4(1):015013, 2023

  36. [36]

    Tracer dynamics in an interacting active bath: fluctuations and energy partition

    R Sarkar and I Santra. Tracer dynamics in an interacting active bath: fluctuations and energy partition. New Journal of Physics, 27(9):094601, 2025

  37. [37]

    A. Dhar, A. Kundu, S. N. Majumdar, S. Sabhapandit, and G. Schehr. Run-and-tumble particle in one-dimensional confining potentials: Steady-state, relaxation, and first-passage properties.Phys. Rev. E, 99:032132, 2019

  38. [38]

    Dutta, A

    D. Dutta, A. Kundu, S. Sabhapandit, and U. Basu. Harmonically trapped inertial run-and-tumble particle in one dimension.Phys. Rev. E, 110:044107, Oct 2024

  39. [39]

    Tailleur and M

    J. Tailleur and M. E. Cates. Statistical Mechanics of Interacting Run-and-Tumble Bacteria.Phys. Rev. Lett., 100(21), 2008

  40. [40]

    Santra, U

    I. Santra, U. Basu, and S. Sabhapandit. Run-and-tumble particles in two dimensions: Marginal position distributions.Phys. Rev. E, 101:062120, Jun 2020

  41. [41]

    C. Maes. Response Theory: A Trajectory-Based Approach.Front. Phys., 8, 2020. 20

  42. [42]

    R. Zwanzig. Ensemble Method in the Theory of Irreversibility.J. Chem. Phys., 33(5):1338–1341, 1960

  43. [43]

    Widder, J

    C. Widder, J. Zimmer, and T. Schilling. On the generalized Langevin equation and the Mori projection operator technique.J. Phys. A: Math. Theor., 58(40):405001, 2025

  44. [44]

    Tanogami

    T. Tanogami. Violation of the Second Fluctuation-dissipation Relation and Entropy Production in Nonequilibrium Medium.J. Stat. Phys., 187(3), 2022

  45. [45]

    J. W. Strutt (3rd Baron Rayleigh). XXXIII. On maintained vibrations.Philos. Mag., 15(94):229–235, 1883

  46. [46]

    L. Y. Chen, N. Goldenfeld, and Y. Oono. Renormalization Group Theory for Global Asymptotic Analysis.Phys. Rev. Lett., 73(10):1311–1315, 1994

  47. [47]

    L. B. Arosh, M. C. Cross, and R. Lifshitz. Quantum limit cycles and the Rayleigh and van der Pol oscillators.Phys. Rev. Res., 3:013130, 2021

  48. [48]

    Kardar.Statistical Physics of Fields

    M. Kardar.Statistical Physics of Fields. Cambridge University Press, 2007

  49. [49]

    Zinn-Justin.Quantum Field Theory and Critical Phenomena

    J. Zinn-Justin.Quantum Field Theory and Critical Phenomena. International series of monographs on physics. Oxford University Press, 2021

  50. [50]

    Padmanabhan.Gravitation: Foundations and Frontiers

    T. Padmanabhan.Gravitation: Foundations and Frontiers. Cambridge University Press, 2010

  51. [51]

    Passegger and R

    A. Passegger and R. Verch. Probing Non-equilibrium Steady States of the Klein–Gordon Field with Unruh–DeWitt Detectors.Ann. Henri Poincar´ e, 2025

  52. [52]

    Doukas, S.-Y

    J. Doukas, S.-Y. Lin, B. L. Hu, and R. B. Mann. Unruh effect under non-equilibrium conditions: oscillatory motion of an Unruh-DeWitt detector.JHEP, 2013(11), 2013

  53. [53]

    Evans, N

    M. Evans, N. Hastings, and B. Peacock.Statistical Distributions. Wiley Series in Probability and Statistics. Wiley, 2000

  54. [54]

    Negative Differential Heat Conductivity in a Harmonic Chain Coupled to a Particle Reservoir

    S. Krekels, C. Maes, I. Santra, and R. Zhai. Negative Differential Heat Conductivity in a Harmonic Chain Coupled to a Particle Reservoir, 2026. arXiv:2604.00777 [cond-mat.stat-mech]

  55. [55]

    Gautama, F

    M. Gautama, F. Khodabandehlou, C. Maes, and I. Santra. Specific heat of thermally driven chains,

  56. [56]

    arXiv:2604.14056 [cond-mat.stat-mech]

  57. [57]

    Santra, U

    I. Santra, U. Basu, and S. Sabhapandit. Universal framework for the long-time position distribution of free active particles.J. Phys. A: Math. Theor., 55(38):385002, 2022

  58. [58]

    H. Mori. Statistical-Mechanical Theory of Transport in Fluids.Phys. Rev., 112:1829–1842, 1958

  59. [59]

    H. Mori. Transport, Collective Motion, and Brownian Motion.Prog. Theor. Phys., 33(3):423–455, 03 1965

  60. [60]

    Grabert.Projection Operator Techniques in Nonequilibrium Statistical Mechanics

    H. Grabert.Projection Operator Techniques in Nonequilibrium Statistical Mechanics. Communications and Control Engineering. Springer-Verlag, 1982

  61. [61]

    C. Maes. Frenesy: Time-Symmetric Dynamical Activity in Nonequilibria.Phys. Rep., 850:1–33, 2020

  62. [62]

    Baiesi, C

    M. Baiesi, C. Maes, and B. Wynants. Nonequilibrium Linear Response for Markov Dynamics, I: Jump Processes and Overdamped Diffusions.J. Stat. Phys., 137(5–6):1094–1116, 2009

  63. [63]

    Baiesi, E

    M. Baiesi, E. Boksenbojm, C. Maes, and B. Wynants. Nonequilibrium Linear Response for Markov Dynamics, II: Inertial Dynamics.J. Stat. Phys., 139(3):492–505, 2010. 21

  64. [64]

    Nakayama, K

    Y. Nakayama, K. Kawaguchi, and N. Nakagawa. Unattainability of Carnot efficiency in thermal motors: Coarse graining and entropy production of Feynman-Smoluchowski ratchets.Phys. Rev. E, 98(2), 2018

  65. [65]

    M. M. Dygas, B. J. Matkowsky, and Z. Schuss. A singular perturbation approach to non-Markovian escape rate problems with state dependent friction.J. Chem. Phys., 84(7):3731–3738, 1986

  66. [66]

    A. N. Tikhonov. Systems of differential equations containing small parameters in the derivatives.Mat. Sb., 31 (73)(3):575–586, 1952. in Russian

  67. [67]

    S. A. Lomov.Introduction to the General Theory of Singular Perturbations, volume 112 ofTranslations of Mathematical Monographs. American Mathematical Society, Providence, RI, 1992

  68. [68]

    I. Bena, C. Van den Broeck, R. Kawai, and Katja Lindenberg. Drift by dichotomous Markov noise. Phys. Rev. E, 68(4), 2003

  69. [69]

    N. G. Van Kampen.Stochastic Processes in Physics and Chemistry. North Holland, 3rd edition, 2007

  70. [70]

    Balakrishnan.Elements of Nonequilibrium Statistical Mechanics

    V. Balakrishnan.Elements of Nonequilibrium Statistical Mechanics. Springer International Publishing, 2020

  71. [71]

    C. Maes. On the Second Fluctuation-Dissipation Theorem for Nonequilibrium Baths.J. Stat. Phys., 154(3):705–722, 2014

  72. [72]

    H. P. Breuer and F. Petruccione.The theory of open quantum systems. Oxford University Press, Great Clarendon Street, 2002

  73. [73]

    Briggs and V.E

    W.L. Briggs and V.E. Henson.The DFT: An Owners’ Manual for the Discrete Fourier Transform. Other Titles in Applied Mathematics. Society for Industrial and Applied Mathematics, 1995

  74. [74]

    U. Basu, S. N. Majumdar, A. Rosso, and G. Schehr. Long-time position distribution of an active Brownian particle in two dimensions.Phys. Rev. E, 100(6), 2019

  75. [75]

    Landau and E

    L. Landau and E. Lifshitz.Statistical Physics: Volume 5, Part 1. Course of Theoretical Physics. Butterworth-Heinemann, Oxford, 3rd edition, 1980

  76. [76]

    Henkes, K

    S. Henkes, K. Kostanjevec, J. M. Collinson, R. Sknepnek, and E. Bertin. Dense active matter model of motion patterns in confluent cell monolayers.Nat. Commun., 11(1):1405, 2020

  77. [77]

    Rieder, J

    Z. Rieder, J. L. Lebowitz, and E. Lieb. Properties of a harmonic crystal in a stationary nonequilibrium state.Journal of Mathematical Physics, 8(5):1073–1078, 1967

  78. [78]

    A. Dhar. Heat conduction in the disordered harmonic chain revisited.Physical Review Letters, 86(26):5882, 2001

  79. [79]

    Watson.A Treatise on the Theory of Bessel Functions

    G.N. Watson.A Treatise on the Theory of Bessel Functions. Cambridge Mathematical Library. Cam- bridge University Press, 1995. 22 Appendix A. Time scale separation We study the different scales in the forward generatorL † of the full system, which appears in the Fokker-Planck equation for the dynamics (4a)–(4b), ∂ρtot ∂t (q, p, ⃗ z, ⃗ σ) =L†ρtot(q, p, z, σ...

  80. [80]

    Streaming term In this section, we compute the streaming term ¯F(q) in (6): ζ ¯F(q) =ζN I dz F(r j −z) X σ=±1 ρq(z, σ) =ζN I dz F(r j −z)P q(z) (C1) Equation (B1) can be substituted in (C1), but the resulting integrals do not reduce to a simple or manageable form. Instead, for weak couplingζ≪1, we use the form (B4) ζ ¯F(q) =ζ N L I dx F(x)−ζ 2N βeff n−1X ...

Showing first 80 references.