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Mean-Field Approximation for Unconventional Superconductivity

On the Approximation Error of Mean-Field Models

On the Approximation Error of Mean-Field Models

... Then the macroscopic behaviors of the stochastic system can be approximated using the mean-field model, e.g., the stationary distribution of the stochastic system may be ap- Permission to make digital or ...

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A personal perspective on the unconventional superconductivity of Sr2RuO4

A personal perspective on the unconventional superconductivity of Sr2RuO4

... that field, Stephen Reed, from whom I learned a lesson that I still pay heed to today—if at all possible, do not place a technician between a sophisticated instrument and its ...

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Applying Mean-field Approximation to Continuous Time Markov Chains

Applying Mean-field Approximation to Continuous Time Markov Chains

... The mean-field analysis technique is used to perform anal- ysis of a systems with a large number of components to determine the emergent deterministic behaviour and how this behaviour modifies when its ...

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Applying Mean-Field Approximation to Continuous Time Markov Chains

Applying Mean-Field Approximation to Continuous Time Markov Chains

... database and how such a behaviour is used to extract the model’s parameters: µ c , η c , ρ c,c 0 and β c,c 0 . Contact Traces. Assume the Bay Area is divided into 16 locations and some base stations are displaced ...

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Failure of mean-field approximation in weakly coupled dilaton gravity

Failure of mean-field approximation in weakly coupled dilaton gravity

... Therefore, we still need simple solvable models to address the black hole information puzzle. One may hope to resolve it in the simplified context of two-dimensional dilaton gravity. This class of models has been ...

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Mean Field Variational Approximation for Continuous-Time Bayesian Networks

Mean Field Variational Approximation for Continuous-Time Bayesian Networks

... Our approach is motivated by results of Opper and Sanguinetti (2007) who developed a varia- tional principle for a related model. Their model is similar to an HMM, in which the hidden chain is a continuous-time Markov ...

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Ferrimagnetism in the Mean-field Approximation of a Mixed Spin Ising Nanowire System

Ferrimagnetism in the Mean-field Approximation of a Mixed Spin Ising Nanowire System

... the mean-field approximation (MFA), in order to clarify the physical background for the characteristic phenomena observed in the ferrimagnetic mixed nanowire ...the mean-field theory ...

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Beyond triplet: Unconventional superconductivity in a spin-3/2 topological semimetal

Beyond triplet: Unconventional superconductivity in a spin-3/2 topological semimetal

... electric field in a face-centered cubic crystal structure splits the degenerate atomic energy levels into twofold degenerate conduction band and two- and fourfold degenerate valence bands at the G-point as shown ...

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Estimation of Software Reliability by Sequential Testing with Simulated Annealing of Mean Field Approximation

Estimation of Software Reliability by Sequential Testing with Simulated Annealing of Mean Field Approximation

... of mean field approximation for finding the possible minimum number of failed components in the sequential ...the mean field approximation is also ...

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Crowd-Averse Robust Mean-Field Games: Approximation via State Space Extension

Crowd-Averse Robust Mean-Field Games: Approximation via State Space Extension

... robust mean-field games: approximation via state space extension ...coupling mean-field term measuring the congestion resulting from the collective behavior, which motivates the term ...

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Crowd-averse robust mean-field games: approximation via state space extension

Crowd-averse robust mean-field games: approximation via state space extension

... robust mean-field games: approximation via state space extension ...coupling mean-field term measuring the congestion resulting from the collective behavior, which motivates the term ...

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Inspection games in a mean field setting

Inspection games in a mean field setting

... the mean field inspection ...the mean field inspection game, is an ǫ-equilibrium to an inspection game with a finite number N of inspectees, with ǫ = ǫ(N ) → 0 as N → ...an ...

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Probabilistic Analysis of Mean-Field Games

Probabilistic Analysis of Mean-Field Games

... OF MEAN-FIELD GAMES REN ´ E CARMONA ∗ AND FRANC ¸ OIS DELARUE † ...with mean field interactions. We implement the Mean-Field Game strategy developed analytically by Lasry and ...

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Inspection games in a mean field setting

Inspection games in a mean field setting

... a mean field inspection game with a continuum of inspectees and derive the system of coupled equations ...the mean field inspection game, namely, the single inspector has a unique best ...

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Mean-Field Density Matrix Decompositions

Mean-Field Density Matrix Decompositions

... However unconventional this choice may seem, the objective herein is not to compute benchmark numbers, but rather to compare the performance of the individual decompositions against one another in an unbiased ...

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Optimized unconventional superconductivity in a molecular Jahn-Teller metal

Optimized unconventional superconductivity in a molecular Jahn-Teller metal

... The T c maximum when x = 1 then corresponds to the optimal balance of extended and molecular characteristics at E F and thus occurs in the crossover region between the two behaviors. These molecular character- istics are ...

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Unconventional height functions in simultaneous Diophantine approximation

Unconventional height functions in simultaneous Diophantine approximation

... Diophantine approximation is concerned with the approxi- mation of a point x ∈ R d by points r ∈ Q d , with a view towards jointly minimizing the quantities x − r and H ...

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Unconventional height functions in simultaneous Diophantine approximation

Unconventional height functions in simultaneous Diophantine approximation

... Diophantine approximation is concerned with the approximation of a point x ∈ R d by points r ∈ Q d , with a view towards jointly minimizing the quantities kx − rk and ...

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The diffusion equation method of global optimization is a mean field approximation to simulated annealing

The diffusion equation method of global optimization is a mean field approximation to simulated annealing

... We show that the diffusion equation method of global minimization of Kostrowicki and Piela is equivalent to mean field annealing, a previously reported deterministic approximation to.. t[r] ...

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Conditional mean field

Conditional mean field

... Conditional mean field raises many questions, and since we can only hope to answer some in this study, the Ising model represents a respectable first ...

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