Issue |
EPL
Volume 91, Number 5, September 2010
|
|
---|---|---|
Article Number | 57004 | |
Number of page(s) | 6 | |
Section | Condensed Matter: Electronic Structure, Electrical, Magnetic and Optical Properties | |
DOI | https://doi.org/10.1209/0295-5075/91/57004 | |
Published online | 21 September 2010 |
Avalanches in mean-field models and the Barkhausen noise in spin-glasses
1
CNRS-Laboratoire de Physique Théorique de l'Ecole Normale Supérieure - 24 rue Lhomond, 75005 Paris, France, EU
2
The Abdus Salam International Center for Theoretical Physics - Strada Costiera 11, 34151 Trieste, Italy, EU
Received:
13
July
2010
Accepted:
20
August
2010
We obtain a general formula for the distribution of sizes of “static avalanches”, or shocks, in generic mean-field glasses with replica-symmetry-breaking (RSB) saddle points. For the Sherrington-Kirkpatrick (SK) spin-glass it yields the density ρ(ΔM) of the sizes of magnetization jumps ΔM along the equilibrium magnetization curve at zero temperature. Continuous RSB allows for a power-law behavior ρ(ΔM)∼1/(ΔM)τ with exponent τ = 1 for SK, related to the criticality (marginal stability) of the spin-glass phase. All scales of the ultrametric phase space are implicated in jump events. Similar results are obtained for the sizes S of static jumps of pinned elastic systems, or of shocks in Burgers turbulence in large dimension. In all cases with a 1-step solution, ρ(S)∼Se−AS2. A simple interpretation relating droplets to shocks, and a scaling theory for the equilibrium analog of Barkhausen noise in finite-dimensional spin-glasses are discussed.
PACS: 75.60.Ej – Magnetization curves, hysteresis, Barkhausen and related effects
© EPLA, 2010
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.