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Lecture notes on large deviations in non-equilibrium diffusive systems
by Bernard Derrida
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Submission summary
| Authors (as registered SciPost users): | Bernard Derrida |
| Submission information | |
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| Preprint Link: | https://arxiv.org/abs/2505.15618v1 (pdf) |
| Date submitted: | May 22, 2025, 6:05 a.m. |
| Submitted by: | Bernard Derrida |
| Submitted to: | SciPost Physics Lecture Notes |
| for consideration in Collection: |
| Ontological classification | |
|---|---|
| Academic field: | Physics |
| Specialties: |
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| Approach: | Theoretical |
Abstract
These notes are a written version of lectures given in the 2024 Les Houches Summer School on {\it Large deviations and applications}. They are are based on a series of works published over the last 25 years on steady properties of non-equilibrium systems in contact with several heat baths at different temperatures or several reservoirs of particles at different densities. After recalling some classical tools to study non-equilibrium steady states, such as the use of tilted matrices, the Fluctuation theorem, the determination of transport coefficients, the Einstein relations or fluctuating hydrodynamics, they describe some of the basic ideas of the macroscopic fluctuation theory allowing to determine the large deviation functions of the density and of the current of diffusive systems.
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Reports on this Submission
Report
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Report #1 by Anonymous (Referee 1) on 2025-7-24 (Invited Report)
- Cite as: Anonymous, Report on arXiv:2505.15618v1, delivered 2025-07-24, doi: 10.21468/SciPost.Report.11627
Report
These lecture notes on large deviations in non-equilibrium diffusive systems constitute a pedagogical introduction to the field, together with a nice review of the various results obtained over the last decades. They are well-written and enjoyable to read.
I only have a few minor suggestions to improve the clarity in a few places.
Minor suggestions:
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On page 5: it could be useful to define what is meant by "empirical measure", since this term appears here for the first time.
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I think it would be useful to briefly define at the beginning of Section 3 what large deviations are. For instance, it is written later on page 12 that the minimum of the large deviation function is zero, which is obvious for someone familiar with the formalism, but otherwise is not so clear.
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About Eq. (65): maybe say that it comes from a saddle point calculation of the inverse Laplace transform of (64). That would clarify where the result comes from.
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Page 23, Remark 1: it is not so clear why the average current satisfies Fick's law. Naively, one would write
$$ \langle j(x,\tau) \rangle = - \langle D(\rho(x,\tau)) \rho'(x,\tau) \rangle $$but the last step that gives $D(\rho(x,\tau)) \rho'(x,\tau)$ is true because the noise is small, right? Also, up to (115) $\rho(x,\tau)$ denotes the stochastic density, so what does it represent in Fick's law? Should it read $D(\langle \rho(x,\tau) \rangle) \langle \rho'(x,\tau) \rangle$? -
On page 38, before Eq. (175) the example of the KMP model is given for an increasing $\sigma(\rho)$. However, it is written at the beginning of the section that the additivity principle that underlies the computations does not apply to the KMP model. Maybe another example could be used for (175) to avoid confusion?
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Typos:
- page 5, first line: "in in"
- page 8, after Eq. (26): "one write"
- page 17, before Eq. (84): there is possibly a missing comma after $\mathcal{C}'$
- page 22, second line: $(\rho)$ shoul read $f(\rho)$
- page 22, before the transport coefficients of the KMP model: "for a system for an isolated system"
- page 23, first line: "Fluctuation hydrodynamics" -> "Fluctuating hydrodynamics"?
- page 33, in the remark: "known fo"
- page 35: in the expression of $H(x,\tau')$ there is a ) missing after $F(x,\tau')$ in the numerator
- page 39, in the first remark: there is an additional ) in the expression of $\mu(\lambda)$
Requested changes
Optionally address the minor comments raised in the report.
Recommendation
Publish (surpasses expectations and criteria for this Journal; among top 10%)
