### First-passage Fingerprints of Water Diffusion near Glutamine Surfaces

R. Belousov, M. N. Qaisrani, A. Hassanali , and **É. Roldán
**arXiv:2003.12615 [PDF]

We study the dynamics of water near glutamine surfaces—a system of interest in studies of neurodegenerative diseases. Combining molecular-dynamics simulations and stochastic modelling, we study how the mean first- passage time and related statistics of water molecules escaping subnanometer-sized regions vary from the interface to the bulk. Our analysis reveals a dynamical complexity that reflects underlying chemical and geometrical properties of the glutamine surfaces. From the first-passage time statistics of water molecules, we infer their space-dependent diffusion coefficient in directions normal to the surfaces. Interestingly, our results suggest that the mobility of water varies over a longer length scale than the chemical potential associated with the water-protein interactions. The synergy of molecular dynamics and first-passage techniques opens the possibility for extracting space-dependent diffusion coefficients in more complex, inhomogeneous environments that are commonplace in living matter.

### Optimal Work Extraction and the Minimum Description Length Principle

L. Touzo , M. Marsili , N. Merhav , and **É. Roldán
**arXiv:2006.04544 [PDF]

We discuss work extraction from classical information engines (e.g., Szilárd) with N-particles, q partitions, and initial arbitrary non-equilibrium states. In particular, we focus on their {\em optimal} behaviour, which includes the measurement of a set of quantities Φ with a feedback protocol that extracts the maximal average amount of work. We show that the optimal non-equilibrium state to which the engine should be driven before the measurement is given by the normalised maximum-likelihood probability distribution of a statistical model that admits Φ as sufficient statistics. Furthermore, we show that the minimax universal code redundancy R∗ associated to this model, provides an upper bound to the work that the demon can extract on average from the cycle, in units of kB T. We also find that, in the limit of N large, the maximum average extracted work cannot exceed one half times the Shannon entropy of the measurement. Our results establish a connection between optimal work extraction in stochastic thermodynamics and optimal universal data compression, providing design principles for optimal information engines. In particular, they suggest that: (i) optimal coding is thermodynamically efficient, and (ii) it is essential to drive the system into a critical state in order to achieve optimal performance.

### Controlling Particle Currents with Evaporation and Resetting

**É Roldán**

We investigate the Brownian diffusion of particles in one spatial dimension and in the presence of finite regions within which particles can either evaporate or be reset to a given location. For open boundary conditions, we highlight the appearance of a Brownian yet non-Gaussian diffusion: at long times, the particle distribution is non-Gaussian but its variance grows linearly in time. Moreover, we show that the effective diffusion coefficient of the particles in such systems is bounded from below by (1−2/π) times their bare diffusion coefficient. For periodic boundary conditions, i.e., for diffusion on a ring with resetting, we demonstrate a “gauge invariance” of the spatial particle distribution for different choices of the resetting probability currents, in both stationary and non-stationary regimes. Finally, we apply our findings to a stochastic biophysical model for the motion of RNA polymerases during transcriptional pauses, deriving analytically the distribution of the length of cleaved RNA transcripts and the efficiency of RNA cleavage in backtrack recovery.

### Modelling strategies to organize healthcare workforce during pandemics: application to COVID-19

D. Sánchez-Taltavull, D. Candinas, **É. Roldán**, and G. Beldi

medRxiv 2020.03.23.20041863 [PDF]

Protection of healthcare workforce is of paramount relevance for the care of infected and non-infected patients in the setting of a pandemic such as coronavirus disease 2019 (COVID-19). Healthcare workers are at increased risk to become infected because of contact to infected patients, infected co-workers and their community outside the hospital.

We develop mathematical models that describe strategies for the employment of hospital workforce with the goal to simulate health and productivity of the workers. We apply our theory to the case of coronavirus disease 2019 (COVID-19). The results of the models reveal that a desynchronization strategy in which two medical teams work alternating for 7 days reduces the infection rate of the healthcare workforce. Moreover, we show that a minimum of 50% home office efficiency is required to maintain the overall productivity of the entire team of caregivers.

### Extreme-Value Statistics of Molecular Motors

A. Guillet, **É. Roldán **and F. Julicher

arXiv:1908.03499

We derive exact expressions for the finite-time statistics of extrema (maximum and minimum) of the spatial displacement and the fluctuating entropy flow of biased random walks capturing key features of molecular motor motion along linear filaments. Our results generalize the infimum law for entropy production and reveal a symmetry of the distribution of its maxima and minima, which are confirmed by numerical simulations of stochastic models of molecular motors.

We also show that the relaxation spectrum of the full generating function, and hence of any moment, of the finite-time extrema distributions can be written in terms of the Mar{\v{c}}enko-Pastur distribution of random-matrix theory. Using this result, we obtain estimates for the extreme-value statistics of molecular motors from the eigenvalue distributions of suitable Wishart and Laguerre random matrices.

### Martingale theory for housekeeping heat

R. Chetrite, S. Gupta, I. Neri and **É. Roldán**

EPL **124**,60006 (2018) – Editor’s Choice

[ PDF ]

The housekeeping heat is the energy exchanged between a system and its environment in a nonequilibrium process that results from the violation of detailed balance.

We describe fluctuations of the housekeeping heat in mesoscopic systems using the theory of martingales, a mathematical framework widely used in probability theory and finance.

We show that the exponentiated housekeeping heat (in units of kT, with k the Boltzmann constant and T the temperature) of a Markovian nonequilibrium process under arbitrary time-dependent driving is a martingale process. From this result, we derive universal equalities and inequalities for the statistics of stopping-times and suprema of the housekeeping heat.

### Integral fluctuation relation for entropy production at stopping times

I Neri, **E Roldán**, S Pigolotti, F Jülicher

arXiv:1903.08115

A stopping time T is the first time when a trajectory of a stochastic process satisfies a specific criterion. In this paper, we use martingale theory to derive the integral fluctuation relation ⟨e^{−Stot(T)}⟩ = 1 for the stochastic entropy production Stot at stopping times T of a nonequilibrium stationary physical system. This fluctuation relation implies the second law of thermodynamics at stopping times ⟨Stot(T)⟩ ≥ 0: it is not possible to reduce entropy on average, even by stopping a stochastic process at a stopping time. Using simulation results we demonstrate that, although mesoscopic systems can extract heat from an isothermal environment when stopped at a cleverly chosen moment, the average extracted heat is bounded by the second law at stopping times. Analogously, we show that stationary stochastic heat engines, such as Feynman’s ratchet, can reach efficiencies above the Carnot limit when stopped at an intelligently chosen moment.

### Universal First-Passage-Time Distribution of Non-Gaussian Currents

S. Singh, P. Menczel, D. S. Golubev, I. M. Khaymovich, J. T. Peltonen, C. Flindt, K. Saito, **E. Roldan**, and J. P. Pekola

We investigate the fluctuations of the time elapsed until the electric charge transferred through a conductor reaches a given threshold value. For this purpose, we measure the distribution of the first-passage times for the net number of electrons transferred between two metallic islands in Coulomb blockade regime. Our experimental results are in excellent agreement with numerical calculations based on a recent theory describing the exact first-passage-time distributions for any non-equilibrium stationary Markov process. We also derive a simple analytical approximation for the first-passage-time distribution, which takes into account the non-Gaussian statistics of the electron transport, and show that it describes the experimental distributions with high accuracy. This universal approximation describes a wide class of stochastic processes, and can be used beyond the context of mesoscopic charge transport. In addition, we verify experimentally a fluctuation relation between the first-passage-time distributions for positive and negative thresholds.

### Exact distributions of currents and frenesy in Markov bridges

**É. Roldán** and P. Vivo

arXiv:1903.08271

[ PDF ]

We consider discrete-time Markov bridges, chains whose initial and final states coincide. We derive exact finite-time formulae for the joint probability distributions of additive functionals of trajectories. We apply our theory to time-integrated currents and frenesy of enzymatic reactions, which may include absolutely irreversible transitions. We discuss the information that frenesy carries about the currents and show that bridges may violate known uncertainty relations in certain cases. Numerical simulations are in perfect agreement with our theory.

### Quantum martingale theory and entropy production

G. Manzano, R. Fazio and **É**.** Roldán
**Physical Review Letters

**122**, 220602 (2019)

[ PDF ]

We employ martingale theory to describe fluctuations of entropy production for open quantum systems in nonequilbrium steady states. Using the formalism of quantum jump trajectories, we identify a decomposition of entropy production into an exponential martingale and a purely quantum term, both obeying integral fluctuation theorems. An important consequence of this approach is the derivation of a set of genuine universal results for stopping-time and infimum statistics of stochastic entropy production. Finally, we complement the general formalism with numerical simulations of a qubit system.

### Arcsine Laws in Stochastic Thermodynamics

**A. C. Barato*, É. Roldán***, I. A. Martínez and S. Pigolotti

Physical Review Letters **121**, 090601 (2018)

[PDF]

(* equal contribution)

We demonstrate with theory and experiment that the fraction of time a thermodynamic current elapses above its average value follows the arcsine law, a prominent result obtained by Levy for independent random variables.

Stochastic currents with long streaks above or below their average are much more likely than those that spend similar fraction of times above and below their average.

We demonstrate this result with simulations of molecular motors, quantum dots and colloidal systems, and with experimental data of a Brownian Carnot engine.

### Extreme reductions of entropy in an electronic double dot

S. Singh,** É. Roldán**, I. Neri, I. M. Khaymovich, D. S. Golubev,

V. F. Maisi, J. T. Peltonen, F. Jülicher and J. P. Pekola

Physical Review B **99**, 115422 (2019)

[ **PDF** ]

We measure single-electron fluctuations in a nanoelectronic device, a double dot, sealed at very low temperature 50mK.

Statistics of millions of records in the double dot confirm that entropy production’s average negative record cannot be below minus the Boltzmann constant. Moreover the data reveals a new bound for the maximal heat absorption of a nanoscopic system from its environment.

### Multiplex Decomposition of Non-Markovian Dynamics and the Hidden Layer Reconstruction Problem

L. Lacasa, I. P. Mariño, J. Miguez, V. Nicosia, **É. Roldán**, A. Lisica, S. W. Grill, and J. Gómez-Gardeñes

Physical Review X **8**, 031038 (2018)

We show that by using local information provided by a random walker navigating the aggregated network, it is possible to determine, in a robust manner, whether these dynamics can be more accurately represented by a single layer or if they are better explained by a (hidden) multiplex structure. In the latter case, we also provide Bayesian methods to estimate the most probable number of hidden layers and the model parameters, thereby fully reconstructing its architecture. We apply our method to experimental recordings from (i) the mobility dynamics of human players in an online multiplayer game and (ii) the dynamics of RNA polymerases at the single-molecule level.

### Arrow of Time in Active Fluctuations

**É. Roldán**, J. Barral, P. Martin, J.M.R. Parrondo and F. Jülicher

arXiv:1801.01574 (2018)

We introduce lower bounds for the rate of entropy production of an active stochastic process by quantifying the irreversibility of stochastic traces obtained from mesoscopic degrees of freedom. Our measures of irreversibility reveal signatures of time’s arrow and provide bounds for entropy production even in the case of active fluctuations that have no drift. We apply these irreversibility measures to experimental spontaneous hair-bundle oscillations from the ear of the bullfrog.

### Testing Optimality of Sequential Decision-Making

M. Dörpinghaus, I. Neri, **É. Roldán**, H. Meyr and F. Jülicher

arXiv:1801.01574 (2018)

We introduce a statistical method to test whether a system that performs a binary sequential hypothesis test is optimal in the sense of minimizing the average decision times while taking decisions with given reliabilities. The proposed method requires samples of the decision times, the decision outcomes, and the true hypotheses, but does not require knowledge on the statistics of the observations or the properties of the decision-making system. We illustrate these tests with numerical simulations and discuss potential applications in machine learning and biology.

### Generic properties of stochastic entropy production

S. Pigolotti, I. Neri, **É. Roldán** and F. Jülicher

Physical Review Letters **119** (14), 140604 (2017)

[ **PDF** ]

Introducing a random-time transformation, entropy production obeys a one-dimensional Ito drift-diffusion equation, independent of the underlying physical model.

This transformation leads to an exact uncertainty equality between the Fano factor of entropy production and the Fano factor of the entropic time.

### Colloidal heat engines: A review

**É. Roldán**, L. Dinis, and R. A. Rica

[

We review recent experimental constructions of small heat engines which are the colloidal equivalents to the macroscopic Stirling, Carnot and steam engines, whose fluctuations lead to unique phenomena that have no equivalent in the macroscopic world. We also discuss the work extraction from bacterial reservoirs.

Finally, we provide some guidance on how the work extracted from colloidal heat engines can be used to generate net particle or energy currents, proposing a new generation of experiments with colloidal systems.

### Path-integral formalism for stochastic resetting:

Exactly solved examples and shortcuts to confinement

**É. Roldán** and S. Gupta

Physical Review E **96** (2), 022130 (2017)

[ **PDF** ]

We present a path-integral approach to derive analytical expressions for a variety of statistics of the dynamics of overdamped Brownian particles under stochastic resetting.

We find that using energy-dependent resetting processes is more effective in achieving spatial confinement of Brownian particles on a faster time scale than performing quenches of parameters of the harmonic potential.

### Statistics of Infima and Stopping Times of Entropy production and Applications to Active Molecular Processes

I. Neri, **É. Roldán**, and F. Jülicher

Physical Review X **7** , 011019 (2017)

[ **PDF** ]

We study the statistics of infima, stopping times, and passage probabilities of entropy production in nonequilibrium steady states, and we show that they are universal. We consider two examples of stopping times: first-passage times of entropy production and waiting times of stochastic processes, which are the times when a system reaches a given state for the first time. Our main results are as follows: (i) The distribution of the global infimum of entropy production is exponential with mean equal to minus Boltzmann’s constant; (ii) we find exact expressions for the passage probabilities of entropy production; (iii) we derive a fluctuation theorem for stopping-time distributions of entropy production. These results have interesting implications for stochastic processes that can be discussed in simple colloidal systems and in active molecular processes. In particular, we show that the timing and statistics of discrete chemical transitions of molecular processes, such as the steps of molecular motors, are governed by the statistics of entropy production. We also show that the extreme-value statistics of active molecular processes are governed by entropy production; for example, we derive a relation between the maximal excursion of a molecular motor against the direction of an external force and the infimum of the corresponding entropy-production fluctuations. Using this relation, we make predictions for the distribution of the maximum backtrack depth of RNA polymerases, which follow from our universal results for entropy-production infima.

### Brownian Carnot engine

I. A. Martínez*, **É. Roldán***, L. Dinis, J. M. R. Parrondo, D. Petrov and R. A. Rica

Nature Physics **12**, 67-70 (2016)

[ **PDF** ]

The Carnot cycle imposes a fundamental upper limit to the efficiency of a macroscopic motor operating between two thermal baths. However, this bound needs to be reinterpreted at microscopic scales, where molecular bio-motors and some artificial micro-engines operate. As described by stochastic thermodynamics, energy transfers in microscopic systems are random and thermal fluctuations induce transient decreases of entropy, allowing for possible violations of the Carnot limit. Here we report an experimental realization of a Carnot engine with a single optically trapped Brownian particle as the working substance. We present an exhaustive study of the energetics of the engine and analyse the fluctuations of the finite-time efficiency, showing that the Carnot bound can be surpassed for a small number of non-equilibrium cycles. As its macroscopic counterpart, the energetics of our Carnot device exhibits basic properties that one would expect to observe in any microscopic energy transducer operating with baths at different temperatures. Our results characterize the sources of irreversibility in the engine and the statistical properties of the efficiency—an insight that could inspire new strategies in the design of efficient nano-motors.

### Mechanisms of backtrack recovery in RNA polymerases I and II

A. Lisica, C. Engel, M. Jahnel, **É. Roldán**, E. A. Galburt, P. Cramer and S. W. Grill

PNAS **113** (11), 2946-2951 (2016)

[ **PDF** ]

Transcription of the genetic information from DNA into RNA is the central process of gene expression, and it is performed by enzymes called RNA polymerases (Pol). Transcription is interspersed with a proofreading mechanism called backtracking, during which the polymerase moves backward on the DNA template and displaces the RNA 3′ end from its active site. Backtrack recovery can happen by diffusion of the enzyme along the DNA or cleavage of the backtracked RNA. Using single-molecule optical tweezers and stochastic theory, we quantified distinct diffusion and cleavage rates of Pol I and Pol II and described distinct backtrack recovery strategies of these essential enzymes.

### Stochastic resetting in backtrack recovery by RNA polymerases

**É. Roldán**, A. Lisica, D. Sánchez-Taltavull, and S. W. Grill

[ **PDF** ]

Transcription is a key process in gene expression, in which RNA polymerases produce a complementary RNA copy from a DNA template. RNA polymerization is frequently interrupted by backtracking, a process in which polymerases perform a random walk along the DNA template. Recovery of polymerases from the transcriptionally inactive backtracked state is determined by a kinetic competition between one-dimensional diffusion and RNA cleavage. Here we describe backtrack recovery as a continuous-time random walk, where the time for a polymerase to recover from a backtrack of a given depth is described as a first-passage time of a random walker to reach an absorbing state. We represent RNA cleavage as a stochastic resetting process and derive exact expressions for the recovery time distributions and mean recovery times from a given initial backtrack depth for both continuous and discrete-lattice descriptions of the random walk. We show that recovery time statistics do not depend on the discreteness of the DNA lattice when the rate of one-dimensional diffusion is large compared to the rate of cleavage.

### Decision Making in the Arrow of time

**É. Roldán**, I. Neri, M. Dörpinghaus, H. Meyr, F. Jülicher

Physical Review Letters

**115**(25), 250602 (2015)

[ **PDF** ]

### Fluctuation theorem between non-equilibrium states in an RC circuit

**É. Roldán**, S. Ciliberto, and H. Kantz

[ **PDF** ]

### Adiabatic processes realized with a trapped Brownian particle

**É. Roldán**, L. Dinis, D. Petrov, and R. A. Rica

[ **PDF** ]

### Realization of nonequilibrium thermodynamic processes using external colored noise

**É. Roldán**

[ **PDF** ]

### Universal features in the energetics of symmetry breaking

**É. Roldán***, I. A. Martínez*, J. M. R. Parrondo, and D. Petrov

### Irreversibility and dissipation in microscopic systems

**É. Roldán** (Springer-Nature, Berlin, 2014)

Springer Theses Prize

[ **Link** ]

### Measuring kinetic energy changes in the mesoscale with low acquisition rates

**É. Roldán**, I. A. Martínez, L. Dinis, and R. A. Rica

[ **PDF** ]

### Effective heating to several thousand kelvins of an optically trapped sphere in a liquid

**É. Roldán**, J. M. R. Parrondo, and D. Petrov

[ **PDF** ]

### Time series irreversibility: a visibility graph approach

**É. Roldán**, J. M. R. Parrondo, and B. Luque

[ **PDF** ]

### Entropy production and Kullback-Leibler divergence between stationary trajectories of discrete systems

**É. Roldán**and J. M. R. Parrondo

[ **PDF** ]