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Featured researches published by Gautam Iyer.


Communications on Pure and Applied Mathematics | 2008

A stochastic Lagrangian representation of the three-dimensional incompressible Navier-Stokes equations

Peter Constantin; Gautam Iyer

In this paper we derive a probabilistic representation of the deterministic three-dimensional Navier-Stokes equations based on stochastic Lagrangian paths. The particle trajectories obey SDEs driven by a uniform Wiener process; the inviscid Weber formula for the Euler equations of ideal fluids is used to recover the velocity field. This method admits a self-contained proof of local existence for the nonlinear stochastic system and can be extended to formulate stochastic representations of related hydrodynamic-type equations, including viscous Burgers equations and Lagrangian-averaged Navier-Stokes alpha models.


Annals of Applied Probability | 2011

A stochastic-Lagrangian approach to the Navier-Stokes equations in domains with boundary.

Peter Constantin; Gautam Iyer

In this paper we derive a probabilistic representation of the deterministic 3-dimensional Navier--Stokes equations in the presence of spatial boundaries. The formulation in the absence of spatial boundaries was done by the authors in [Comm. Pure Appl. Math. 61 (2008) 330--345]. While the formulation in the presence of boundaries is similar in spirit, the proof is somewhat different. One aspect highlighted by the formulation in the presence of boundaries is the nonlocal, implicit influence of the boundary vorticity on the interior fluid velocity.


Mathematical Models and Methods in Applied Sciences | 2015

Dynamic cubic instability in a 2D Q-tensor model for liquid crystals

Gautam Iyer; Xiang Xu; Arghir Zarnescu

We consider a four-elastic-constant Landau–de Gennes energy characterizing nematic liquid crystal configurations described using the Q-tensor formalism. The energy contains a cubic term and is unbounded from below. We study dynamical effects produced by the presence of this cubic term by considering an L2 gradient flow generated by this energy. We work in two dimensions and concentrate on understanding the relations between the physicality of the initial data and the global well-posedness of the system.


Siam Journal on Mathematical Analysis | 2010

EXIT TIMES OF DIFFUSIONS WITH INCOMPRESSIBLE DRIFT

Gautam Iyer; Alexei Novikov; Lenya Ryzhik; Andrej Zlatos

Let


Nonlinearity | 2008

A stochastic-Lagrangian particle system for the Navier–Stokes equations

Gautam Iyer; Jonathan C. Mattingly

\Omega\subset\mathbb R^n


Annales De L Institut Henri Poincare-analyse Non Lineaire | 2009

A stochastic Lagrangian proof of global existence of the Navier–Stokes equations for flows with small Reynolds number

Gautam Iyer

be a bounded domain and for


Probability Theory and Related Fields | 2016

Anomalous diffusion in fast cellular flows at intermediate time scales

Gautam Iyer; Alexei Novikov

x\in\Omega


Journal of Mathematical Physics | 2012

Coercivity and stability results for an extended Navier-Stokes system

Gautam Iyer; Robert L. Pego; Arghir Zarnescu

let


Multiscale Modeling & Simulation | 2012

Numerical studies of homogenization under a fast cellular flow

Gautam Iyer; Konstantinos C. Zygalakis

\tau(x)


Journal of Nonlinear Science | 2017

A Model for Vortex Nucleation in the Ginzburg–Landau Equations

Gautam Iyer; Daniel Spirn

be the expected exit time from

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Alexei Novikov

Pennsylvania State University

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Robert L. Pego

Carnegie Mellon University

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Nicholas Leger

University of Texas at Austin

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Andrej Zlatos

University of Wisconsin-Madison

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Daniel Spirn

University of Minnesota

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