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Publications of Jonathan C. Mattingly     :chronological  combined listing:

%% Papers Published   
@article{fds163256,
   Author = {Hairer, Martin and Mattingly, Jonathan C.},
   Title = {Slow energy dissipation in anharmonic oscillator
             chains},
   Journal = {Communications on Pure and Applied Mathematics},
   Volume = {62},
   Number = {8},
   Pages = {999--1032},
   Year = {2009},
   ISSN = {0010-3640},
   MRCLASS = {82C20 (35K55 37Lxx)},
   MRNUMBER = {MR2531551},
   Abstract = {We study the dynamic behaviour at high energies of a chain
             of anharmonic oscillators coupled at its ends to heat baths
             at possibly different temperatures. In our setup, each
             oscillator is subject to a homogeneous anharmonic pinning
             potential $V_1(q_i) =|q_i|^{2k}/2k$ and harmonic coupling
             potentials $V_2(q_i- q_{i-1}) = (q_i- q_{i-1})^2/2$ between
             itself and its nearest neighbours. We consider the case $k >
             1$ when the pinning potential is stronger then the coupling
             potential. At high energy, when a large fraction of the
             energy is located in the bulk of the chain, breathers appear
             and block the transport of energy through the system, thus
             slowing its convergence to equilibrium. In such a regime, we
             obtain equations for an effective dynamics by averaging out
             the fast oscillation of the breather. Using this
             representation and related ideas, we can prove a number of
             results. When the chain is of length three and $k> 3/2$ we
             show that there exists a unique invariant measure. If $k >
             2$ we further show that the system does not relax
             exponentially fast to this equilibrium by demonstrating that
             zero is in the essential spectrum of the generator of the
             dynamics. When the chain has five or more oscillators and
             $k> 3/2$ we show that the generator again has zero in its
             essential spectrum. In addition to these rigorous results, a
             theory is given for the rate of decrease of the energy when
             it is concentrated in one of the oscillators without
             dissipation. Numerical simulations are included which
             confirm the theory.},
   Key = {fds163256}
}

@article{fds152882,
   Author = {J.C. Mattingly and Martin Hairer},
   Title = {Spectral gaps in Wasserstein distances and the 2D stochastic
             Navier-Stokes equations},
   Journal = {Annals of Probability},
   Number = {6},
   Pages = {993--1032},
   Year = {2008},
   MRNUMBER = {2478676},
   Abstract = {We develop a general method that allows to show the
             existence of spectral gaps for Markov semigroups on Banach
             spaces. Unlike most previous work, the type of norm we
             consider for this analysis is neither a weighted supremum
             norm nor an L^p-type norm, but involves the derivative of
             the observable as well and hence can be seen as a type of
             1--Wasserstein distance. This turns out to be a suitable
             approach for infinite-dimensional spaces where the usual
             Harris or Doeblin conditions, which are geared to total
             variation convergence, regularly fail to hold. In the first
             part of this paper, we consider semigroups that have uniform
             behaviour which one can view as an extension of Doeblin's
             condition. We then proceed to study situations where the
             behaviour is not so uniform, but the system has a suitable
             Lyapunov structure, leading to a type of Harris condition.
             We finally show that the latter condition is satisfied by
             the two-dimensional stochastic Navier-Stokers equations,
             even in situations where the forcing is extremely
             degenerate. Using the convergence result, we show shat the
             stochastic Navier-Stokes equations' invariant measures
             depend continuously on the viscosity and the structure of
             the forcing.},
   Key = {fds152882}
}

@article{fds155602,
   Author = {J.C. Mattingly and Iyer, Gautam and Mattingly, Jonathan},
   Title = {A stochastic-{L}agrangian particle system for the
             {N}avier-{S}tokes equations},
   Journal = {Nonlinearity},
   Volume = {21},
   Number = {11},
   Pages = {2537--2553},
   Year = {2008},
   ISSN = {0951-7715},
   MRCLASS = {76D05 (35Q30 35R60 60H10 60H30)},
   MRNUMBER = {MR2448230 (2009h:76060)},
   Key = {fds155602}
}

@article{fds157004,
   Author = {Mattingly, Jonathan C. and Suidan, Toufic
             M.},
   Title = {Transition measures for the stochastic {B}urgers
             equation},
   Journal = {, Integrable systems and random matrices},
   Volume = {458},
   Series = {Contemp. Math.},
   Pages = {409--418},
   Booktitle = {Integrable systems and random matrices},
   Publisher = {Amer. Math. Soc.},
   Address = {Providence, RI},
   Year = {2008},
   MRCLASS = {60Hxx (35Q53 35R60 60Jxx 76M35)},
   MRNUMBER = {MR2411921},
   Key = {fds157004}
}

@article{fds139724,
   Author = {David Anderson and Jonathan C. Mattingly},
   Title = {Propagation of fluctuations in biochemical systems, II:
             nonlinear chains},
   Journal = {IET Systems Biology},
   Volume = {1},
   Number = {6},
   Pages = {313-325},
   Year = {2007},
   Month = {November},
   Key = {fds139724}
}

@article{fds139695,
   Author = {Mattingly, Jonathan C. and Suidan, Toufic and Vanden-Eijnden, Eric},
   Title = {Simple systems with anomalous dissipation and energy
             cascade},
   Journal = {Communications in Mathematical Physics},
   Volume = {276},
   Number = {1},
   Pages = {189--220},
   Year = {2007},
   ISSN = {0010-3616},
   MRCLASS = {37L99 (37C99 37N10 76D05 76F02)},
   MRNUMBER = {MR2342292 (2008m:37135)},
   Abstract = {We analyze a class of dynamical systems of the type
             \dot{a}_n(t) = c_{n−1} a_{n−1}(t) − c_n a_{n+1}(t) +
             f_n(t), n ∈ N, a0 = 0, where f_n(t)is a forcing term with
             f_n(t) ̸= 0onlyforn ≤ n⋆ < ∞ and the coupling coef-
             ficients c_n satisfy a condition ensuring the formal
             conservation of energy 1 ␣ |a_n(t)|2. 2n Despite being
             formally conservative, we show that these dynamical systems
             support dissipative solutions (suitably defined) and, as a
             result, may admit unique (statistical) steady states when
             the forcing term fn(t) is nonzero. This claim is
             demonstrated via the complete characterization of the
             solutions of the system above for specific choices of the
             coupling coefficients cn. The mechanism of anomalous
             dissipations is shown to arise via a cascade of the energy
             towards the modes with higher n; this is responsible for
             solutions with interesting energy spectra, namely E|an|2
             scales as n−α as n → ∞. Here the exponents α depend
             on the coupling coefficients cn and E denotes expectation
             with respect to the equilibrium measure. This is reminiscent
             of the conjectured properties of the solutions of the
             Navier-Stokes equations in the inviscid limit and their
             accepted relationship with fully developed turbulence.
             Hence, these simple models illustrate some of the heuristic
             ideas that have been advanced to characterize turbulence,
             similar in that respect to the random passive scalar or
             random Burgers equation, but even simpler and fully
             solvable.},
   Key = {fds139695}
}

@article{fds139688,
   Author = {Lamba, H. and Mattingly, J. C. and Stuart, A.
             M.},
   Title = {An adaptive {E}uler-{M}aruyama scheme for {SDE}s:
             convergence and stability},
   Journal = {IMA Journal of Numerical Analysis},
   Volume = {27},
   Number = {3},
   Pages = {479--506},
   Year = {2007},
   ISSN = {0272-4979},
   MRCLASS = {60H35 (60H10 65C30)},
   MRNUMBER = {MR2337577},
   Key = {fds139688}
}

@article{fds139690,
   Author = {Anderson, David F. and Mattingly, Jonathan C. and Nijhout,
             H. Frederik and Reed, Michael C.},
   Title = {Propagation of fluctuations in biochemical systems. {I}.
             {L}inear {SSC} networks},
   Journal = {Bulletin of Mathematical Biology},
   Volume = {69},
   Number = {6},
   Pages = {1791--1813},
   Year = {2007},
   ISSN = {0092-8240},
   MRCLASS = {92E20 (34F05 60H10 60H30)},
   MRNUMBER = {MR2329180},
   Key = {fds139690}
}

@article{fds139685,
   Author = {Mattingly, Jonathan C. and Suidan, Toufic M. and Vanden-Eijnden, Eric},
   Title = {Anomalous dissipation in a stochastically forced
             infinite-dimensional system of coupled oscillators},
   Journal = {Journal of Statistical Physics},
   Volume = {128},
   Number = {5},
   Pages = {1145--1152},
   Year = {2007},
   ISSN = {0022-4715},
   MRCLASS = {37Lxx (60H10 82C05)},
   MRNUMBER = {MR2348788},
   Abstract = {We analyze a class of linear shell models subject to
             stochastic forcing in finitely many degrees of freedom. The
             unforced systems considered formally conserve energy.
             Despite being formally conservative, we show that these
             dynamical systems support dissipative solutions (suitably
             defined) and, as a result, may admit unique (statistical)
             steady states when the forcing term is nonzero. This claim
             is demonstrated via the complete characterization of the
             solutions of the system above for specific choices of the
             coupling coefficients. The mechanism of anomalous
             dissipations is shown to arise via a cascade of the energy
             towards the modes ($a_n$) with higher $n$; this is
             responsible for solutions with interesting energy spectra,
             namely $\EE |a_n|^2$ scales as $n^{-\alpha}$ as
             $n\to\infty$. Here the exponents $\alpha$ depend on the
             coupling coefficients $c_n$ and $\EE$ denotes expectation
             with respect to the equilibrium measure. This is reminiscent
             of the conjectured properties of the solutions of the
             Navier-Stokes equations in the inviscid limit and their
             accepted relationship with fully developed turbulence.
             Hence, these simple models illustrate some of the heuristic
             ideas that have been advanced to characterize turbulence,
             similar in that respect to the random passive scalar or
             random Burgers equation, but even simpler and fully
             solvable.},
   Key = {fds139685}
}

@article{fds139686,
   Author = {Bakhtin, Yuri and Mattingly, Jonathan C.},
   Title = {Malliavin calculus for infinite-dimensional systems with
             additive noise},
   Journal = {Journal of Functional Analysis},
   Volume = {249},
   Number = {2},
   Pages = {307--353},
   Year = {2007},
   ISSN = {0022-1236},
   MRCLASS = {60H07 (76D05 76M35)},
   MRNUMBER = {MR2345335},
   Abstract = {We consider an infinite-dimensional dynamical system with
             polynomial nonlinearity and additive noise given by a finite
             number of Wiener processes. By studying how randomness is
             spread by the system we develop a counterpart of Hormander's
             classical theory in this setting. We study the distributions
             of finite-dimensional projections of the solutions and give
             conditions that provide existence and smoothness of
             densities of these distributions with respect to the
             Lebesgue measure. We also apply our results to concrete
             SPDEs such as Stochastic Reaction Diffusion Equation and
             Stochastic 2D Navier--Stokes System.},
   Key = {fds139686}
}

@article{fds49711,
   Author = {Jonathan C. Mattingly and Etienne Pardoux},
   Title = {Malliavin calculus for the Stochastic 2D Navier Stokes
             Equation},
   Journal = {Communications on Pure and Applied Mathematics},
   Volume = {59},
   Number = {12},
   Pages = {1742 - 1790},
   Year = {2006},
   Month = {December},
   Abstract = {We consider the incompressible, two dimensional Navier
             Stokes equation with periodic boundary conditions under the
             effect of an additive, white in time, stochastic forcing.
             Under mild restrictions on the geometry of the scales
             forced, we show that any finite dimensional projection of
             the solution possesses a smooth density with respect to
             Lebesgue measure. We also show that under natural
             assumptions the density of such a projection is everywhere
             strictly positive. In particular, our conditions are
             viscosity independent. We are mainly interested in forcing
             which excites a very small number of modes. All of the
             results rely on the nondegeneracy of the infinite
             dimensional Malliavin matrix.},
   Key = {fds49711}
}

@article{fds49712,
   Author = {Martin Hairer and J.C. Mattingly},
   Title = {Ergodicity of the 2D Navier-Stokes Equations with Degenerate
             Stochastic Forcing},
   Journal = {Annals of Mathematics},
   Volume = {164},
   Number = {3},
   Year = {2006},
   Month = {November},
   Abstract = {The stochastic 2D Navier-Stokes equations on the torus
             driven by degenerate noise are studied. We characterize the
             smallest closed invariant subspace for this model and show
             that the dynamics restricted to that subspace is ergodic. In
             particular, our results yield a purely geometric
             characterization of a class of noises for which the equation
             is ergodic in L^2 of the torus. Unlike in previous works,
             this class is independent of the viscosity and the strength
             of the noise. The two main tools of our analysis are the
             asymptotic strong Feller property, introduced in this work,
             and an approximate integration by parts formula. The first,
             when combined with a weak type of irreducibility, is shown
             to ensure that the dynamics is ergodic. The second is used
             to show that the first holds under a Hormander-type
             condition. This requires some interesting non-adapted
             stochastic analysis.},
   Key = {fds49712}
}

@article{fds49730,
   Author = {H. Frederik Nijhout and Michael C. Reed and David F. Anderson and Jonathan C. Mattingly and S. Jill james and Cornelia M.
             Ulrich},
   Title = {Long-Range Allosteric Interactions between the Folate and
             Methionine Cycles Stabilize DNA Methylation Reaction Rate,
             Epigenetics},
   Journal = {Epigenetics},
   Volume = {1},
   Number = {2},
   Pages = {81-87},
   Year = {2006},
   Key = {fds49730}
}

@article{fds43490,
   Author = {Bakhtin, Yuri and Mattingly, Jonathan C.},
   Title = {Stationary solutions of stochastic differential equations
             with memory and stochastic partial differential
             equations},
   Journal = {Communications in Contemporary Mathematics},
   Volume = {7},
   Number = {5},
   Pages = {553--582},
   Publisher = {World Scientific},
   Year = {2005},
   MRNUMBER = {MR2175090},
   Abstract = {We explore ItÆo stochastic di erential equations where the
             drift term has possibly infinite dependence on the past.
             Assuming the existence of a Lyapunov function, we prove the
             existence of a stationary solution assuming only minimal
             continuity of the coe cients. Uniqueness of the stationary
             solution is proved if the dependence on the past decays su -
             ciently fast. The results of this paper are then applied to
             stochastically forced dissipative partial di erential
             equations such as the stochastic Navier-Stokes equation and
             stochastic Ginsburg-Landau equation.},
   Key = {fds43490}
}

@article{b:MattinglySuidan05,
   Author = {Mattingly, Jonathan C. and Suidan, Toufic
             M.},
   Title = {The small scales of the stochastic Navier-Stokes equations
             under rough forcing},
   Journal = {Journal of Statistical Physics},
   Volume = {118},
   Number = {1-2},
   Pages = {343--364},
   Year = {2005},
   MRNUMBER = {MR2122959},
   Abstract = {We prove the small scale structure of the stochastically
             forced Navier Stokes equations converge to those of the
             naturally associated Ornstien-Uhlenbeck process as the scale
             is taken to zero. In addition, we prove that the Navier
             Stokes equations with su cient hyperviscosity and its
             natural Ornstien-Uhlenbeck process induce equivalent
             measures on path space. This gives a simple proof of unique
             ergodicity for the hyperviscous Navier Stokes
             system.},
   Key = {b:MattinglySuidan05}
}

@article{b:HairerMattingly04b,
   Author = {Hairer, Martin and Mattingly, Jonathan C.},
   Title = {Ergodic properties of highly degenerate {2D} stochastic
             {N}avier-{S}tokes equations},
   Journal = {Comptes Rendus Math\'ematique. Acad\'emie des Sciences.
             Paris},
   Volume = {339},
   Number = {12},
   Pages = {879--882},
   Year = {2004},
   MRNUMBER = {MR2111726},
   Key = {b:HairerMattingly04b}
}

@article{fds29478,
   Author = {Martin Hairer and Jonathan C. Mattingly and Étienne
             Pardoux},
   Title = {Malliavin calculus for highly degenerate 2D stochastic
             Navier–Stokes equations},
   Journal = {Comptes Rendus Mathematique},
   Volume = {339},
   Number = {11},
   Pages = {793-796},
   Year = {2004},
   MRNUMBER = {MR2110383},
   Key = {fds29478}
}

@article{fds13566,
   Author = {J.C. Mattingly},
   Title = {On Recent Progress for the Stochastic Navier Stokes
             Equations},
   Journal = {Journées "Équations aux Dérivées Partielles"
             (Forges-les-Eaux, 2003)},
   Volume = {XV},
   Pages = {viii+298},
   Publisher = {Universit\'e de Nantes, Nantes},
   Year = {2003},
   Month = {Summer},
   MRNUMBER = {MR2050586(2004j:00022)},
   url = {http://www.math.duke.edu/~jonm/PaperArchive/03/ForgesLesEaux/forgesLesEaux2003.pdf},
   Abstract = {We give an overview of the ideas central to some recent
             developments in the ergodic theory of the stochastically
             forced Navier Stokes equations and other dissipative
             stochastic partial differential equations. Since our desire
             is to make the core ideas clear, we will mostly work with a
             specific example: the stochastically forced Navier Stokes
             equations. To further clarify ideas, we will also examine in
             detail a toy problem. A few general theorems are given.
             Spatial regularity, ergodicity, exponential mixing, coupling
             for a SPDE, and hypoellipticity are all discussed.},
   Key = {fds13566}
}

@article{fds10349,
   Author = {Mattingly, Jonathan C.},
   Title = {The dissipative scale of the stochastics Navier-Stokes
             equation: regularization and analyticity},
   Journal = {J. Statist. Phys.},
   Volume = {108},
   Number = {5-6},
   Pages = {1157--1179},
   Year = {2002},
   MRNUMBER = {2004e:76035},
   url = {http://www.math.duke.edu/~jonm/PaperArchive/01/SnsGevery/snsGevrey.pdf},
   Abstract = {We prove that the two dimensional Naiver-Stokes equations
             posses an exponentially attracting invariant measure. This
             result is in fact the consequence of a more general
             "Harris-like" ergodic theorem applicable to many dissipative
             stochastic PDEs and stochastic processes with memory. A
             simple iterated map example is also presented to help build
             intuition and showcase the central ideas in a less
             encumbered setting. To analyze the iterated map, a general
             "Doeblin-like" theorem is proven. One of the main features
             of this paper is the novel coupling construction used to
             prove the central results.},
   Key = {fds10349}
}

@article{fds10350,
   Author = {Mattingly, J. C.},
   Title = {Contractivity and ergodicity of the random map
             {$x\mapsto\vert x-\theta\vert $}},
   Journal = {Teor. Veroyatnost. i Primenen.},
   Volume = {47},
   Number = {2},
   Pages = {388--397},
   Year = {2002},
   MRNUMBER = {2004f:60148},
   url = {http://www.math.duke.edu/~jonm/PaperArchive/01/AbsMap/absMap.pdf},
   Abstract = {The long time behavior of the random map $x_n \mapsto
             x_{n+1} |x_n-\theta_n|$ is studied under various assumptions
             on the distribution of the $\theta_n$. One of the
             interesting features of this random dynamical system is that
             for a single fixed deterministic $\theta$ the map is not a
             contraction, while the composition is almost surely a
             contraction if $\theta$ is picked randomly with only mild
             assumptions on the distribution of the $\theta$'s. The
             system is useful as an explicit model where more abstract
             ideas can be explored concretely. We explore various
             measures of convergence rates, hyperbolically from
             randomness, and the structure of the random
             attractor.},
   Key = {fds10350}
}

@article{fds10329,
   Author = {Mattingly, J. C. and Stuart, A. M.},
   Title = {Geometric ergodicity of some hypo-elliptic diffusions for
             particle motions},
   Journal = {Markov Process. Related Fields},
   Volume = {8},
   Number = {2},
   Pages = {199--214},
   Year = {2002},
   MRNUMBER = {2003g:60101},
   url = {https://www.math.duke.edu/~jonm/PaperArchive/01/StuartParticles/cergy.pdf},
   Abstract = {Two degenerate SDEs arising in statistical physics are
             studied. The first is a Langevin equation with
             state-dependent noise and damping. The second is the
             equation of motion for a particle obeying Stokes' law in a
             Gaussian random field; this field is chosen to mimic certain
             features of turbulence. Both equations are hypo-elliptic and
             smoothness of probability densities may be established. By
             developing appropriate Lyapunov functions and by studying
             the necessary control problems, geometric ergodicity is
             proved.},
   Key = {fds10329}
}

@article{fds10352,
   Author = {Mattingly, J. C. and Stuart, A. M. and Higham, D.
             J.},
   Title = {Ergodicity for {SDE}s and approximations: locally Lipschitz
             vector fields and degenerate noise},
   Journal = {Stochastic Process. Appl.},
   Volume = {101},
   Number = {2},
   Pages = {185--232},
   Year = {2002},
   MRNUMBER = {2003i:60103},
   url = {https://www.math.duke.edu/~jonm/PaperArchive/00/HarrisNumerics/harrisNumerics.pdf},
   Abstract = {The ergodic properties of SDEs, and various time
             discretizations for SDEs, are studied. The ergodicity of
             SDEs is established by using techniques from the theory of
             Markov chains on general state spaces. Application of these
             Markov chain results leads to straightforward proofs of
             ergodicity for a variety of SDEs, in particular for problems
             with degenerate noise and for problems with locally
             Lipschitz vector fields. The key points which need to be
             verified are the existence of a Lyapunov function inducing
             returns to a compact set, a uniformly reachable point from
             within that set, and some smoothness of the probability
             densities; the last two points imply a minorization
             condition. Together the minorization condition and Lyapunov
             structure give geometric ergodicity. Applications include
             the Langevin equation, the Lorenz equation with degenerate
             noise and gradient systems. The ergodic theorems proved are
             strong, yielding exponential convergence of expectations for
             classes of measurable functions restricted only by the
             condition that they grow no faster than the Lyapunov
             function. The same Markov chain theory is then used to study
             time-discrete approximations of these SDEs. It is shown that
             the minorization condition is robust under approximation.
             For globally Lipschitz vector fields this is also true of
             the Lyapunov condition. However in the locally Lipschitz
             case the Lyapunov condition fails for explicit methods such
             as Euler-Maruyama; it is, in general, only inherited by
             specially constructed implicit discretizations. Examples of
             such discretization based on backward Euler methods are
             given, and approximation of the Langevin equation studied in
             some detail.},
   Key = {fds10352}
}

@article{fds23989,
   Author = {J.C. Mattingly},
   Title = {Exponential convergence for the stochastically forced
             Navier-Stokes equations and other partially dissipative
             dynamics},
   Journal = {Comm. Math. Phys.},
   Volume = {230},
   Number = {3},
   Pages = {421--462},
   Year = {2002},
   MRNUMBER = {2004a:76039},
   url = {http://www.math.duke.edu/~jonm/PaperArchive/01/NsMixing/nsMixing.pdf},
   Key = {fds23989}
}

@article{fds10311,
   Author = {E, Weinan and Mattingly, Jonathan C.},
   Title = {Ergodicity for the Navier-Stokes equation with degenerate
             random forcing: finite-dimensional approximation},
   Journal = {Comm. Pure Appl. Math.},
   Volume = {54},
   Number = {11},
   Pages = {1386--1402},
   Year = {2001},
   MRNUMBER = {2002g:76075},
   url = {http://www.math.duke.edu/~jonm/PaperArchive/00/GalerkinNS/galerkinNS.pdf},
   Abstract = {We study stationary measures for the two-dimensional
             Navier-Stokes equation with periodic boundary condition and
             random forcing. We prove uniqueness of the stationary
             measure under the condition that all ``determining modes''
             are forced. The main idea behind the proof is to study the
             Gibbsian dynamics of the low modes obtained by representing
             the high modes as functionals of the time-history of the low
             modes.},
   Key = {fds10311}
}

@article{fds10443,
   Author = {Holmes, P. J. and Mattingly, J. C. and Wittenberg, R.
             W.},
   Title = {Low-dimensional models of turbulence or, The dynamics of
             coherent structures},
   Journal = {From finite to infinite dimensional dynamical systems
             (Cambridge, 1995), vol. 19, pp. 177--215, 2001, Kluwer Acad.
             Publ., Dordrecht, From finite to infinite dimensional
             dynamical systems (Cambridge, 1995)},
   Volume = {19},
   Pages = {177--215},
   Booktitle = {From finite to infinite dimensional dynamical systems
             (Cambridge, 1995)},
   Publisher = {Kluwer Acad. Publ., Dordrecht},
   Year = {2001},
   MRNUMBER = {2004h:76106},
   Key = {fds10443}
}

@article{fds23992,
   Author = {W. E and J.C. Mattingly and Ya Sinai},
   Title = {Gibbsian dynamics and ergodicity for the stochastically
             forced Navier-Stokes equation},
   Journal = {Comm. Math. Phys.},
   Volume = {224},
   Number = {1},
   Pages = {83--106},
   Year = {2001},
   MRNUMBER = {2002m:76024},
   url = {http://www.math.duke.edu/~jonm/PaperArchive/00/Gibbsian/gibbsian.pdf},
   Key = {fds23992}
}

@article{fds10313,
   Author = {Mattingly, Jonathan C.},
   Title = {Ergodicity of 2D Navier-Stokes equations with random forcing
             and large viscosity},
   Journal = {Comm. Math. Phys., vol. 206, no. 2, pp. 273--288,
             1999},
   MRNUMBER = {2000k:76040},
   url = {http://www.math.duke.edu/~jonm/PaperArchive/98/LargeNu/largeNu.pdf},
   Key = {fds10313}
}

@article{fds10314,
   Author = {Mattingly, J. C. and Sinai, Ya. G.},
   Title = {An elementary proof of the existence and uniqueness theorem
             for the Navier-Stokes equations},
   Journal = {Commun. Contemp. Math., vol. 1, no. 4, pp. 497--516,
             1999},
   MRNUMBER = {2000j:35226},
   url = {http://www.math.duke.edu/~jonm/PaperArchive/98/ElementaryExistanceNS/elementaryExistanceNS.pdf},
   Abstract = {The purpose of this paper is to show that some results
             concerning solutions of the Navier-Stokes systems can be
             proven by purely elementary methods using imagery from
             Dynamical Systems.},
   Key = {fds10314}
}

@article{fds10320,
   Author = {Jonathan C. Mattingly},
   Title = {The Stochastic Navier-Stokes Equation: Energy Estimates and
             Phase Space Contraction},
   Journal = {PhD Thesis, Princeton University 1998},
   url = {http://www.math.duke.edu/~jonm/PaperArchive/98/Thesis/thesisC1.ps},
   Key = {fds10320}
}

@article{fds10315,
   Author = {Holmes, Philip J. and Lumley, John L. and Berkooz, Gal and Mattingly, Jonathan C. and Wittenberg, Ralf
             W.},
   Title = {Low-dimensional models of coherent structures in
             turbulence},
   Journal = {Phys. Rep., vol. 287, no. 4, pp. 337--384,
             1997},
   MRNUMBER = {98j:76065},
   url = {http://www.math.duke.edu/~jonm/PaperArchive/98/PhysRep/physrep.pdf},
   Key = {fds10315}
}


%% Papers Accepted   
@article{fds163255,
   Author = {J.C. Mattingly and Martin Hairer and Michael Scheutzow},
   Title = {Asymptotic coupling and a weak form of Harris' theorem with
             applications to stochastic delay equations},
   Year = {2009},
   Abstract = {There are many Markov chains on infinite dimensional spaces
             whose one-step transition kernels are mutually singular when
             starting from different initial conditions. We give results
             which prove unique ergodicity under minimal assumptions on
             one hand and the existence of a spectral gap under
             conditions reminiscent of Harris' theorem. The first uses
             the existence of couplings which draw the solutions together
             as time goes to infinity. Such "asymptotic couplings" were
             central to recent work on SPDEs on which this work builds.
             The emphasis here is on stochastic differential delay
             equations.Harris' celebrated theorem states that if a Markov
             chain admits a Lyapunov function whose level sets are
             "small" (in the sense that transition probabilities are
             uniformly bounded from below), then it admits a unique
             invariant measure and transition probabilities converge
             towards it at exponential speed. This convergence takes
             place in a total variation norm, weighted by the Lyapunov
             function. A second aim of this article is to replace the
             notion of a "small set" by the much weaker notion of a
             "d-small set," which takes the topology of the underlying
             space into account via a distance-like function d. With this
             notion at hand, we prove an analogue to Harris' theorem,
             where the convergence takes place in a Wasserstein-like
             distance weighted again by the Lyapunov function. This
             abstract result is then applied to the framework of
             stochastic delay equations.},
   Key = {fds163255}
}

@article{fds163257,
   Author = {J.C. Mattingly and Martin Hairer},
   Title = {Yet another look at Harris' ergodic theorem for Markov
             chains},
   Year = {2008},
   Month = {August},
   Abstract = {The aim of this note is to present an elementary proof of a
             variation of Harris' ergodic theorem of Markov chains. This
             theorem, dating back to the fifties essentially states that
             a Markov chain is uniquely ergodic if it admits a "small"
             set which is visited infinitely often. This gives an
             extension of the ideas of Doeblin to the unbounded state
             space setting. Often this is established by finding a
             Lyapunov function with "small" level sets. This topic has
             been studied by many authors (cf. Harris, Hasminskii,
             Nummelin, Meyn and Tweedie). If the Lyapunov function is
             strong enough, one has a spectral gap in a weighted supremum
             norm (cf. Meyn and Tweedie). Traditional proofs of this
             result rely on the decomposition of the Markov chain into
             excursions away from the small set and a careful analysis of
             the exponential tail of the length of these excursions.
             There have been other variations which have made use of
             Poisson equations or worked at getting explicit constants.
             The present proof is very direct, and relies instead on
             introducing a family of equivalent weighted norms indexed by
             a parameter $\beta$ and to make an appropriate choice of
             this parameter that allows to combine in a very elementary
             way the two ingredients (existence of a Lyapunov function
             and irreducibility) that are crucial in obtaining a spectral
             gap. The original motivation of this proof was the authors'
             work on spectral gaps in Wasserstein metrics. The proof
             presented in this note is a version of our reasoning in the
             total variation setting which we used to guide the
             calculations in arXiv:math/0602479. While we initially
             produced it for that purpose, we hope that it will be of
             interest in its own right.},
   Key = {fds163257}
}


%% Papers Submitted   
@article{fds164683,
   Author = {J.C. Mattingly and Andrew M. Stuart and M.V. Tretyakov},
   Title = {Convergence of Numerical Time-Averaging and Stationary
             Measures via Poisson Equations},
   Year = {2009},
   Abstract = {Numerical approximation of the long time behavior of a
             stochastic differential equation (SDE) is considered. Error
             estimates for time-averaging estimators are obtained and
             then used to show that the stationary behavior of the
             numerical method converges to that of the SDE. The error
             analysis is based on using an associated Poisson equation
             for the underlying SDE. The main advantage of this approach
             is its simplicity and universality. It works equally well
             for a range of explicit and implicit schemes including those
             with simple simulation of random variables, and for general
             hypoelliptic SDEs. An analogy between this approach and
             Stein's method is indicated. Some practical implications of
             the results are discussed.},
   Key = {fds164683}
}

@article{fds160937,
   Author = {J.C. Mattingly and David Anderson},
   Title = {A weak trapezoidal method for a class of stochastic
             differential equations},
   Year = {2009},
   Abstract = {We present a numerical method for the approximation of
             solutions for the class of stochastic differential equations
             driven by Brownian motions which induce stochastic variation
             in fixed directions. This class of equations arises
             naturally in the study of population processes and chemical
             reaction kinetics. We show that the method constructs paths
             that are second order accurate in the weak sense. The method
             is simpler than many second order methods in that it neither
             requires the construction of iterated Ito integrals nor the
             evaluation of any derivatives. The method consists of two
             steps. In the first an explicit Euler step is used to take a
             fractional step. This fractional point is then combined with
             the initial point to obtain a higher order, trapezoidal
             like, approximation. The higher order of accuracy stems from
             the fact that both the drift and the quadratic variation of
             the underlying SDE are approximated to second
             order.},
   Key = {fds160937}
}

@article{fds156904,
   Author = {J.C. Mattingly and Scott A. McKinley and Natesh S. Pillai},
   Title = {Geometric ergodicity of a bead-spring pair with stochastic
             Stokes forcing},
   Year = {2009},
   Abstract = {We consider a simple model for the fluctuating hydrodynamics
             of a flexible polymer in dilute solution, demonstrating
             geometric ergodicity for a pair of particles that interact
             with each other through a nonlinear spring potential while
             being advected by a stochastic Stokes fluid velocity field.
             This is a generalization of previous models which have used
             linear spring forces as well as white-in-time fluid velocity
             fields. We follow previous work combining control theoretic
             arguments, Lyapunov functions, and hypo-elliptic diffusion
             theory to prove exponential convergence via a Harris chain
             argument. To this, we add the possibility of excluding
             certain "bad" sets in phase space in which the assumptions
             are violated but from which the systems leaves with a
             controllable probability. This allows for the treatment of
             singular drifts, such as those derived from the
             Lennard-Jones potential, which is an novel feature of this
             work.},
   Key = {fds156904}
}

@article{fds151344,
   Author = {J.C. Mattingly and Martin Hairer},
   Title = {A Theory of Hypoellipticity and Unique Ergodicity for
             Semilinear Stochastic PDEs},
   Year = {2008},
   Key = {fds151344}
}


%% Preprints   
@article{fds139692,
   Author = {Martin Hairer and Jonathan C. Mattingly and Etienne
             Pardoux},
   Title = {Malliavin calculus and ergodic properties of highly
             degenerate 2D stochastic Navier--Stokes equation},
   Journal = {Comptes rendus Mathematique (CRAS), In press},
   Year = {2004},
   Month = {Summer},
   Abstract = {The objective of this note is to present the results from
             the two recent papers. We study the Navier--Stokes equation
             on the two--dimensional torus when forced by a finite
             dimensional white Gaussian noise. We give conditions under
             which both the law of the solution at any time t>0,
             projected on a finite dimensional subspace, has a smooth
             density with respect to Lebesgue measure and the solution
             itself is ergodic. In particular, our results hold for
             specific choices of four dimensional white Gaussian noise.
             Under additional assumptions, we show that the preceding
             density is everywhere strictly positive.},
   Key = {fds139692}
}

 

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