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At least 577 records · Page 32Linked to original sources

arXiv2013

Field theory of disordered systems -- Avalanches of an elastic interface in a random medium

In this thesis I discuss analytical approaches to disordered systems using field theory. Disordered systems are characterized by a random energy landscape due to heterogeneities, which remains fixed on the time scales of the phenomena considered. I focus specifically on elastic interfaces in random media, such as pinned domain walls in ferromagnets containing defects, fluid contact lines on rough surfaces, etc. The goal is to understand static properties (e.g. the roughness) of such systems, and their dynamics in response to an external force. The interface moves in avalanches, triggered at random points in time, separated by long periods of quiescence. For magnetic domain walls, this phenomenon is known as Barkhausen noise. I first study the model of a particle in a Brownian random force landscape, applicable to high-dimensional interfaces. Its exact solution for a monotonous, but time-varying driving force is obtained. This allows computing the joint distribution of avalanche sizes and durations, and their spatial and temporal shape. I then generalize these results to a short-range correlated disorder. Using the functional renormalization group, I compute the universal distributions of avalanche sizes, durations, and their average shape as a function of time. The corrections with respect to the Brownian model become important in sufficiently low dimension (e.g. for a crack front in the fracture of a solid). I then discuss connections to the rough phase of Kardar-Parisi-Zhang nonlinear surface growth, and an application to the variable-range hopping model of electric conductance in a disordered insulator.

cond-mat.dis-nn↗

arXiv2013

Spatially embedded growing small-world networks

Networks in nature are often formed within a spatial domain in a dynamical manner, gaining links and nodes as they develop over time. We propose a class of spatially-based growing network models and investigate the relationship between the resulting statistical network properties and the dimension and topology of the space in which the networks are embedded. In particular, we consider models in which nodes are placed one by one in random locations in space, with each such placement followed by configuration relaxation toward uniform node density, and connection of the new node with spatially nearby nodes. We find that such growth processes naturally result in networks with small-world features, including a short characteristic path length and nonzero clustering. These properties do not appear to depend strongly on the topology of the embedding space, but do depend strongly on its dimension; higher-dimensional spaces result in shorter path lengths but less clustering.

physics.soc-ph↗

arXiv2013

Graph theory and Pfaffian representations of Ising partition function

A well known theorem due to Kasteleyn states that the partition function of an Ising model on an arbitrary planar graph can be represented as the Pfaffian of a skew-symmetric matrix associated to the graph. This results both embodies the free fermionic nature of any planar Ising model and eventually gives an effective way of computing its partition functions in closed form. An extension of this result to non planar models expresses the partition function as a sum of Pfaffians which number is related to the genus of the oriented surface on which the graph can be embedded. In graph theory, McLane's theorem (1937) gives a characterization of planarity as a property of the cycle space of a graph, and recently, Diestel et al. (2009) extended this approach to embeddings in arbitrary surfaces. Here we show that McLane's approach naturally leads to Kasteleyn's results: McLane characterization of planar graphs is just what is needed to turn an Ising partition function into a Pfaffian. Using this approach, we prove that the Ising partition function on an arbitrary non planar graph can be written as \emph{the real part}of the Pfaffian of a single matrix with coefficients taken in a multicomplex algebra $\C_{\tilde g}$, where $\tilde g$ is the non-orientable genus, or crosscap number, of the embedding surface. Known representations as sums of Pfaffians follow from this result. In particular, Kasteleyn's result which involves $4^g$ matrices with real coefficients, $g$ orientable genus, is also recovered through some algebraic reduction.

math-ph↗

arXiv2013

Contact and first layer residues prediction in protein dimers using the Gaussian Network model with adjustable number of fast modes

Interactions between proteins are hard to decipher. Protein-protein interactions are difficult problem to address because they are not based on differences in charge type like protein-DNA or protein-lipid interactions. In this manuscript we present a few methods aimed at recognizing contact and their neighboring first layer residues. The methods are based on the simplified analysis of normal modes via the Gaussian Network Model (GNM). The methods adjust the number of modes used in analysis on the basis of the comparison of predicted and expected number of targets (contact and first layer residues). The number of modes used in weighted sum calculation is increased or decreased if the number of predictions falls out of range for a given protein sequence length. The methods are able to recognize more than 50% of targets on average. At the same time they generate slightly more than 40% of false positives. They are also fairly successful in recognizing near native decoys of the Vakser decoy sets. The results depicted here show that kinetically active residues are important in protein-protein interactions. The GNM analysis depicted also shows that the two interacting chains usually exhibit opposite behavior. While the binding surface of one of the partners is rigid and stable, the interfacial area of the other partner is more flexible.

cond-mat.stat-mech↗

arXiv2013

Phase transition in the controllability of temporal networks

The control of complex systems is an ongoing challenge of complexity research. Recent advances using concepts of structural control deduce a wide range of control related properties from the network representation of complex systems. Here, we examine the controllability of complex systems for which the timescale of the dynamics we control and the timescale of changes in the network are comparable. We provide both analytical and computational tools to study controllability based on temporal network characteristics. We apply these results to investigate the controllable subnetwork using a single input, present analytical results for a generic class of temporal network models, and preform measurements using data collected from a real system. Depending upon the density of the interactions compared to the timescale of the dynamics, we witness a phase transition describing the sudden emergence of a giant controllable subspace spanning a finite fraction of the network. We also study the role of temporal patterns and network topology in real data making use of various randomization procedures, finding that the overall activity and the degree distribution of the underlying network are the main features influencing controllability.

cond-mat.stat-mech↗

arXiv2013

Phase diagrams of a cylindrical spin-1 ising nanowire within the presence of the crystal field and the transverse field

Within the framework of the effective-field theory (EFT) with correlations, the phase diagrams of a cylindrical spin-1 Ising nanowire is investigated, depending on the ratio of the Hamiltonian parameters. We discuss in detail the influence of interfacial coupling, crystal field and transfer field ratio on the phase diagrams, and some characteristic phenomena have been found such as tricritical point and first-order transitions.

cond-mat.stat-mech↗

arXiv2013

Time irreversibility in the quantum systems with infinite number of particles

The time irreversible evolution of quantum systems with infinite number of particles (QSINP) was studied within a newly constructed algebraic framework. The QSINP could be described by the quantum infinite lattice field. The *-Algebra R is the set of all dynamic variables of the QSINP, in which a special addition and multiplication operations were defined. The full pure state vector (FPSV) ρ, the pure state vector {ρ_f} and the equivalent relations within them are also well defined. The set of all pure state vectors, which are equivalent to the FPSV ρ, is a Hilbert Space {H_ρ}, if the addition, the inner product and the norm were defined in it. The set of all linear transformation {N_ρ} on {H_ρ} is isomorphic to R, and {{N_ρ},{H_ρ}} is the representation of R, associated with ρ. The *-Algebra R has infinitely many non-equivalent irreducible GNS constructions (representations), associated with different nonequivalent FPSVs respectively. It is proved that, the dynamical motions of the QSINP is totally within the GNS construction associated with the initial pure state vector; However, the time reversal transformation makes the initial FPSV and its corresponding dynamical evolution into another non-equivalent GNS construction. Therefore, within the GNS construction associated with the FPSV, the dynamics of the QSINP is time irreversible. Finally, due to the Liouville operator has real continuous spectrum within the GNS construction, the longtime asymptotic solution of Liouville equation in the GNS construction could be treated by the formal scattering theory. The Master equation with dissipative term was obtained, which is formally irrelevant of the initial state and the corresponding GNS construction. This master equation could be regarded as the evolution equation of the QSINP on R.

math-ph↗

arXiv2013

Support set of random wave-functions on the Bethe lattice

We introduce a new measure of ergodicity, the support set $S_\varepsilon$, for random wave functions on disordered lattices. It is more sensitive than the traditional inverse participation ratios and their moments in the cases where the extended state is very sparse. We express the typical support set $S_{\varepsilon}$ in terms of the distribution function of the wave function amplitudes and illustrate the scaling of $S_{\varepsilon}\propto N^α$ with $N$ (the lattice size) for the most general case of the multi-fractal distribution. A number of relationships between the new exponent $α$ and the conventional spectrum of multi-fractal dimensions is established. These relationships are tested by numerical study of statistics of wave functions on disordered Bethe lattices. We also obtain numerically the finite-size spectrum of fractal dimensions on the Bethe lattice which shows two apparent fixed points as $N$ increases. The results allow us to conjecture that extended states on the Bethe lattice at all strengths of disorder below the localization transition are non-ergodic with a clear multifractal structure that evolves towards almost ergodic behavior in the clean limit.

cond-mat.stat-mech↗

arXiv2014

Detecting the work statistics through Ramsey-like interferometry

Out-of-equilibrium statistical mechanics is attracting considerable interest due to the recent advances in the control and manipulations of systems at the quantum level. Recently, an interferometric scheme for the detection of the characteristic function of the work distribution following a time-dependent process has been proposed [L. Mazzola {\it et al}, Phys. Rev. Lett. {\bf 110} 230602 (2013)]. There, it was demonstrated that the work statistics of a quantum system undergoing a process can be reconstructed by effectively mapping the characteristic function of work on the state of an ancillary qubit. Here, we expand that work in two important directions. We first apply the protocol to an interesting specific physical example consisting of a superconducting qubit dispersively coupled to the field of a microwave resonator, thus enlarging the class of situations for which our scheme would be key in the task highlighted above. We then account for the interaction of the system with an additional one (which might embody an environment), and generalise the protocol accordingly.

quant-ph↗

arXiv2014

External Source Method for Kubo-Transformed Quantum Correlation Functions

We revisit the external source method for Kubo-transformed quantum correlation functions recently proposed by Krishna and Voth. We derive an exact formula and show that the Krishna-Voth formula can be derived as an approximation of our formula. Some properties of this approximation are clarified through a model calculation of the position autocorrelation function for a one-dimensional harmonic oscillator. A key observation is that the Krishna-Voth correlation function has a term which behaves as the secular term in perturbation theory.

quant-ph↗

arXiv2014

Non-Markovianity criteria for open system dynamics

A universal definition of non-Markovianity for open systems dynamics is proposed. It is extended from the classical definition to the quantum realm by showing that a `transition' from the Markov to the non-Markov regime occurs when the correlations between the system and the environment, generated by their joint evolution, can no longer be neglected. The suggested definition is based on the comparison between measured correlation functions and those built by assuming that the system is in a Markov regime thus giving a figure of merit of the error coming from this assumption. It is shown that the knowledge of the dynamical map and initial condition of the system is not enough to fully characterise the non-Markovian dynamics of the reduced system. The example of three exactly solvable models, i.e. decoherence and spontaneous emission of the qubit in a bosonic bath and decoherence of the photon's polarization induced by interaction with its spacial degrees of freedom, reveals that previously proposed Markovianity criteria and measures which are based on dynamical map analysis fail to recognise non-Markov behaviour.

quant-ph↗

arXiv2014

Determination of Forces from a Potential in Molecular Dynamics

In Molecular Dynamics (MD), the forces applied to atoms derive from potentials which describe the energy of bonds, valence angles, torsion angles, and Lennard-Jones interactions of which molecules are made. These de finitions are classic; on the contrary, their implementation in a MD system which respects local equilibrium of mechanical conditions is usually not described. The precise derivation of the forces from the potential and the proof that their application preserves energy is the object of this note. This work is part of the building of a multi-scale MD system, presently under development.

cond-mat.stat-mech↗

arXiv2014

Quantum critical dynamics of the boson system in the Ginsburg-Landau model

The quantum critical dynamics of the quantum phase transitions is considered. In the framework of the unified theory, based on the Keldysh technique, we consider the crossover from the classical to the quantum description of the boson many-particle system dynamics close to the second order quantum phase transition. It is shown that in this case the upper critical space dimension of this model is $d_c^{+}=2$, therefore the quantum critical dynamics approach is useful in case of $d<2$. In the one-dimension system the phase coherence time does diverge at the quantum critical point, $g_c$, and has the form of $τ\propto -\ln |g-g_c|/(g-g_c) $, the correlation radius diverges as $r_c\propto |g-g_c|^{-ν} (ν= 0.6)$.

cond-mat.stat-mech↗

arXiv2014

Optimal work of quantum Szilard engine

We have found the optimal condition of the work performed by the quantum Szilard engine (SZE) containing multi-particles. Usually the optimal work of a cyclic engine is achieved when the whole thermodynamic process is reversible. Although the quantum SZE inherently contains an irreversible process, we can still define effectively reversible protocol based upon the force of time-forward and time-backward processes.

quant-ph↗

arXiv2013

Quantum Statistical Mechanics. I. Decoherence, Wave Function Collapse, and the von Neumann Density Matrix

The probability operator is derived from first principles for an equilibrium quantum system. It is also shown that the superposition states collapse into a mixture of states giving the conventional von Neumann trace form for the quantum average. The mechanism for the collapse is found to be quite general: it results from the conservation law for a conserved, exchangeable variable (such as energy) and the entanglement of the total system wave function that necessarily follows. The relevance of the present results to the einselection mechanism for decoherence, to the quantum measurement problem, and to the classical nature of the macroscopic world are discussed.

cond-mat.stat-mech↗

arXiv2014

A model project for reproducible papers: critical temperature for the Ising model on a square lattice

In this paper we present a simple, yet typical simulation in statistical physics, consisting of large scale Monte Carlo simulations followed by an involved statistical analysis of the results. The purpose is to provide an example publication to explore tools for writing reproducible papers. The simulation estimates the critical temperature where the Ising model on the square lattice becomes magnetic to be Tc /J = 2.26934(6) using a finite size scaling analysis of the crossing points of Binder cumulants. We provide a virtual machine which can be used to reproduce all figures and results.

cs.CE↗

arXiv2014

Kinetic equation for spatially averaged molecular dynamics

We obtain a kinetic description of spatially averaged dynamics of particle systems. Spatial averaging is one of the three types of averaging relevant within the Irwing-Kirkwood procedure (IKP), a general method for deriving macroscopic equations from molecular models. The other two types, ensemble averaging and time averaging, have been extensively studied, while spatial averaging is relatively less understood. We show that the average density, linear momentum, and kinetic energy used in IKP can be obtained from a single average quantity, called the generating function. A kinetic equation for the generating function is obtained and tested numerically on Lennard-Jones oscillator chains.

cond-mat.stat-mech↗

arXiv2014

Quadratic Fluctuations of the Simple Exclusion Process

We introduce a two-dimensional, distribution-valued field which we call the quadratic field associated to the one-dimensional Ornstein-Uhlenbeck process. We show that the stationary quadratic fluctuations of the simple exclusion process, when rescaled in the diffusive scaling, converge to this quadratic field. We show that this quadratic field evaluated at the diagonal corresponds to the Wick-renormalized square of the Ornstein-Uhlenbeck process, and we use this new representation in order to prove some small and large-time properties of it.

math.PR↗