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We study stationary fluctuations at criticality for a one-dimensional reaction--diffusion process combining symmetric simple exclusion dynamics with Glauber-type spin flips. The strength of the Glauber interaction is tuned to the critical…

Probability · Mathematics 2026-03-11 Luis Cardoso , Claudio Landim , Kenkichi Tsunoda

The free energy balance equation for gyrokinetic fluctuations is derived and applied to instabilities. An additional term due to electromagnetic sources is included. This can provide a simpler way to compute the free energy balance in…

Plasma Physics · Physics 2023-10-19 M. Kotschenreuther , X. Liu , S. M. Mahajan , D. R. Hatch

We study the local repulsion between critical points of a stationary isotropic smooth planar Gaussian field. We show that the critical points can experience a soft repulsion which is maximal in the case of the random planar wave model, or a…

Probability · Mathematics 2022-09-12 Safa Ladgham , Raphaël Lachièze-Rey

We study the antiferromagnetic XYZ spin chain with quenched bond randomness, focusing on a critical line between localized Ising magnetic phases. A previous calculation using the spectrum-bifurcation renormalization group, and assuming…

Disordered Systems and Neural Networks · Physics 2022-01-12 Brenden Roberts , Olexei I. Motrunich

We apply the derivative expansion of the effective action in the exact renormalization group equation up to fourth order to the $Z_2$ and $O(N)$ symmetric scalar models in $d=3$ Euclidean dimensions. We compute the critical exponents $\nu$,…

High Energy Physics - Theory · Physics 2021-03-31 Zoltán Péli

We use a new eigenvalue concentration bound for the fluctuation of the sample mean of the random extternal potential in the multi-particle Anderson model and prove the spectral exponential and the strong dynamical localization. The results…

Mathematical Physics · Physics 2020-04-07 Trésor Ekanga

We show how to derive fixed-point Hamiltonians in quantum mechanics from a proposed renormalization group invariance approach that relies in a subtraction procedure at a given energy scale. The scheme is valid for arbitrary interactions…

High Energy Physics - Phenomenology · Physics 2007-05-23 T. Frederico , A. Delfino , Lauro Tomio , V. S. Timoteo

The random-energy model is studied in the presence of random fields. The problem is solved exactly both in the microcanonical ensemble, without recourse to the replica method, and in the canonical ensemble using the replica formalism. The…

Statistical Mechanics · Physics 2009-11-11 Luiz O. de Oliveira Filho , Francisco Alexandre da Costa , Carlos S. O. Yokoi

We study the behavior of scale-free networks, having connectivity distribution P(k) k^-a, close to the percolation threshold. We show that for networks with 3<a<4, known to undergo a transition at a finite threshold of dilution, the…

Disordered Systems and Neural Networks · Physics 2009-11-07 Reuven Cohen , Daniel ben-Avraham , Shlomo Havlin

We analyze a simple classical Hamiltonian system within the hypothesis of renormalizability and isotropy that essentially led Maxwell to his ubiquitous Gaussian distribution of velocities. We show that the equilibrium-like power-law energy…

Statistical Mechanics · Physics 2009-10-31 Renio S. Mendes , Constantino Tsallis

We demonstrate that size fluctuations close to polymers critical point originate the non-Gaussian diffusion of their center of mass. Static universal exponents $\gamma$ and $\nu$ -- depending on the polymer topology, on the dimension of the…

Statistical Mechanics · Physics 2022-01-04 Sankaran Nampoothiri , Enzo Orlandini , Flavio Seno , Fulvio Baldovin

We establish a renormalization group approach which is implemented on the degrees of freedom defined by the overlap of two replicas to determine the critical fixed point and to extract four critical exponents for the phase transition of the…

Statistical Mechanics · Physics 2024-05-17 Dimitrios Bachtis

We show how the renormalization group approach can be used to prove quantitative central limit theorems (CLTs) in the setting of free, Boolean, bi-free and bi-Boolean independence under finite third moment assumptions. The proofs rely on…

Probability · Mathematics 2026-03-30 Jad Hamdan

Nonrelativistic two-body scattering by a short-ranged potential is studied using the renormalisation group. Two fixed points are identified: a trivial one and one describing systems with a bound state at zero energy. The eigenvalues of the…

High Energy Physics - Phenomenology · Physics 2009-10-31 Michael C. Birse , Judith A. McGovern , Keith G. Richardson

We investigate the critical endpoints of the (3+1)-dimensional $Z_2$ gauge-Higgs model at finite density together with the (2+1)-dimensional one at zero density as a benchmark using the tensor renormalization group method. We focus on the…

High Energy Physics - Lattice · Physics 2022-05-18 Shinichiro Akiyama , Yoshinobu Kuramashi

Let $\mathcal{X}= \{X(t) : t \in \mathbb{R}^N \} $ be an isotropic Gaussian random field with real values.In a first part we study the mean number of critical points of $\mathcal{X}$ with index $k$ using random matrices tools.We obtain an…

Probability · Mathematics 2020-11-30 Jean-Marc Azais , Céline Delmas

The explicit form of the Griffiths singularity in the random ferromagnetic Ising model in external magnetic field is derived. In terms of the continuous random temperature Ginzburg-Landau Hamiltonian it is shown that in the paramagnetic…

Disordered Systems and Neural Networks · Physics 2009-11-11 Victor Dotsenko

We analyze the renormalization group fixed point of the two-dimensional Ising model at criticality. In contrast with expectations from tensor network renormalization (TNR), we show that a simple, explicit analytic description of this fixed…

Mathematical Physics · Physics 2023-04-07 Tobias J. Osborne , Alexander Stottmeister

We prove the Central Limit Theorem for the number of eigenvalues near the spectrum edge for hermitian ensembles of random matrices. To derive our results, we use a general theorem, essentially due to Costin and Lebowitz, concerning the…

Mathematical Physics · Physics 2007-05-23 Alexander B. Soshnikov

Gaussian graphical models are parametric statistical models for jointly normal random variables whose dependence structure is determined by a graph. In previous work, we introduced trek separation, which gives a necessary and sufficient…

Combinatorics · Mathematics 2012-10-02 Jan Draisma , Seth Sullivant , Kelli Talaska