Aukosh Jagannath
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Aukosh Jagannath has a total of 5 co-authors. Here are the top co-authors by number of shared publications:
- Antonio Auffinger
Department of Mathematics, Northwestern University, Evanston, USA
2 shared publications - Antonio Auffinger
Department of Mathematics Northwestern University
1 shared publication Gérard Ben Arous
New York University
1 shared publication- Gérard Ben Arous
Courant Institute of Mathematical Sciences, New York University, New York, USA
1 shared publication - Ian Tobasco
University of Michigan 530 Church St. Ann Arbor, MI 48109 USA
1 shared publication
Latest Publications
- 1 November 2018
- Published by Springer Nature in Journal of Statistical Physics
- Vol. 174 (2) , 316-332
On Spin Distributions for Generic p-Spin Models
- 1 November 2018
- Published by Springer Nature in Journal of Statistical Physics
- Vol. 174 (2) , 316-332
On Spin Distributions for Generic p-Spin Models
- 19 May 2018
- Published by Springer Nature in Communications in Mathematical Physics
- Vol. 361 (1) , 1-52
Spectral Gap Estimates in Mean Field Spin Glasses
- 19 May 2018
- Published by Springer Nature in Communications in Mathematical Physics
- Vol. 361 (1) , 1-52
Spectral Gap Estimates in Mean Field Spin Glasses
- Open Access
- 30 March 2018
- Published by American Mathematical Society (AMS) in Proceedings of the American Mathematical Society
- Vol. 146 (7) , 3127-3142
Bounds on the complexity of Replica Symmetry Breaking for spherical spin glasses
In this paper, we study the Crisanti-Sommers variational problem, which is a variational formula for the free energy of spherical mixed p p -spin glasses. We begin by computing the dual of this problem using a min-max argument. We find that the dual is a 1D problem of obstacle type, where the obstacle is related to the covariance structure of the underlying process. This approach yields an alternative way to understand Replica Symmetry Breaking at the level of the variational problem through topological properties of the coincidence set of the optimal dual variable. Using this duality, we give an algorithm to reduce this a priori infinite dimensional variational problem to a finite dimensional one, thereby confining all possible forms of Replica Symmetry Breaking in these models to a finite parameter family. These results complement the authors’ related results for the low temperature Γ \Gamma -limit of this variational problem. We briefly discuss the analysis of the Replica Symmetric phase using this approach.
- 30 March 2018
- Published by American Mathematical Society (AMS) in Proceedings of the American Mathematical Society
- Vol. 146 (7) , 3127-3142
Open AccessBounds on the complexity of Replica Symmetry Breaking for spherical spin glasses
In this paper, we study the Crisanti-Sommers variational problem, which is a variational formula for the free energy of spherical mixed p p -spin glasses. We begin by computing the dual of this problem using a min-max argument. We find that the dual is a 1D problem of obstacle type, where the obstacle is related to the covariance structure of the underlying process. This approach yields an alternative way to understand Replica Symmetry Breaking at the level of the variational problem through topological properties of the coincidence set of the optimal dual variable. Using this duality, we give an algorithm to reduce this a priori infinite dimensional variational problem to a finite dimensional one, thereby confining all possible forms of Replica Symmetry Breaking in these models to a finite parameter family. These results complement the authors’ related results for the low temperature Γ \Gamma -limit of this variational problem. We briefly discuss the analysis of the Replica Symmetric phase using this approach.
- Open Access
Spectral gap estimates in mean field spin glasses
We show that mixing for local, reversible dynamics of mean field spin glasses is exponentially slow in the low temperature regime. We introduce a notion of free energy barriers for the overlap, and prove that their existence imply that the spectral gap is exponentially small, and thus that mixing is exponentially slow. We then exhibit sufficient conditions on the equilibrium Gibbs measure which guarantee the existence of these barriers, using the notion of replicon eigenvalue and 2D Guerra Talagrand bounds. We show how these sufficient conditions cover large classes of Ising spin models for reversible nearest-neighbor dynamics and spherical models for Langevin dynamics. Finally, in the case of Ising spins, Panchenko's recent rigorous calculation [79] of the free energy for a system of "two real replica" enables us to prove a quenched LDP for the overlap distribution, which gives us a wider criterion for slow mixing directly related to the Franz-Parisi-Virasoro approach [43,60]. This condition holds in a wider range of temperatures.
Open AccessSpectral gap estimates in mean field spin glasses
We show that mixing for local, reversible dynamics of mean field spin glasses is exponentially slow in the low temperature regime. We introduce a notion of free energy barriers for the overlap, and prove that their existence imply that the spectral gap is exponentially small, and thus that mixing is exponentially slow. We then exhibit sufficient conditions on the equilibrium Gibbs measure which guarantee the existence of these barriers, using the notion of replicon eigenvalue and 2D Guerra Talagrand bounds. We show how these sufficient conditions cover large classes of Ising spin models for reversible nearest-neighbor dynamics and spherical models for Langevin dynamics. Finally, in the case of Ising spins, Panchenko's recent rigorous calculation [79] of the free energy for a system of "two real replica" enables us to prove a quenched LDP for the overlap distribution, which gives us a wider criterion for slow mixing directly related to the Franz-Parisi-Virasoro approach [43,60]. This condition holds in a wider range of temperatures.
- Open Access
On spin distributions for generic p-spin models
We provide an alternative formula for spin distributions of generic p-spin glass models. As a main application of this expression, we write spin statistics as solutions of partial differential equations and we show that the generic p-spin models satisfy multiscale Thouless-Anderson-Palmer equations as originally predicted in the work of Mezard-Virasoro.
Open AccessOn spin distributions for generic p-spin models
We provide an alternative formula for spin distributions of generic p-spin glass models. As a main application of this expression, we write spin statistics as solutions of partial differential equations and we show that the generic p-spin models satisfy multiscale Thouless-Anderson-Palmer equations as originally predicted in the work of Mezard-Virasoro.
- Open Access
Thouless-Anderson-Palmer equations for the generic p-spin glass model
We study the Thouless-Anderson-Palmer (TAP) equations for spin glasses on the hypercube. First, using a random, approximately ultrametric decomposition of the hypercube, we decompose the Gibbs measure, $\langle\cdot\rangle_N$, into a mixture of conditional laws, $\langle\cdot\rangle_{\alpha,N}$. We show that the TAP equations hold for the spin at any site with respect to $\langle\cdot\rangle_{\alpha,N}$ simultaneously for all $\alpha$. This result holds for generic models provided that the Parisi measure of the model has a jump at the top of its support.Open AccessThouless-Anderson-Palmer equations for the generic p-spin glass model
We study the Thouless-Anderson-Palmer (TAP) equations for spin glasses on the hypercube. First, using a random, approximately ultrametric decomposition of the hypercube, we decompose the Gibbs measure, $\langle\cdot\rangle_N$, into a mixture of conditional laws, $\langle\cdot\rangle_{\alpha,N}$. We show that the TAP equations hold for the spin at any site with respect to $\langle\cdot\rangle_{\alpha,N}$ simultaneously for all $\alpha$. This result holds for generic models provided that the Parisi measure of the model has a jump at the top of its support.