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Dive into the research topics where Percy Deift is active.

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Featured researches published by Percy Deift.


Journal of the American Mathematical Society | 1999

On the distribution of the length of the longest increasing subsequence of random permutations

Jinho Baik; Percy Deift; Kurt Johansson

Let SN be the group of permutations of 1,2,..., N. If 7r E SN, we say that 7(i1),... , 7F(ik) is an increasing subsequence in 7r if il < i2 < ... < ik and 7r(ii) < 7r(i2) < ...< 7r(ik). Let 1N(r) be the length of the longest increasing subsequence. For example, if N = 5 and 7r is the permutation 5 1 3 2 4 (in one-line notation: thus 7r(1) = 5, 7r(2) = 1, ... ), then the longest increasing subsequences are 1 2 4 and 1 3 4, and N() = 3. Equip SN with uniform distribution,


Annals of Mathematics | 1993

A steepest descent method for oscillatory Riemann-Hilbert problems. Asymptotics for the MKdV equation

Percy Deift; X. Zhou

In this article we present a new and general approach to analyzing the asymptotics of oscillatory Riemann-Hilbert problems. Such problems arise, in particular, when evaluating the long-time behavior of nonlinear wave equations solvable by the inverse scattering method. We will restrict ourselves here exclusively to the modified Korteweg-de Vries (MKdV) equation


Communications on Pure and Applied Mathematics | 1999

Uniform asymptotics for polynomials orthogonal with respect to varying exponential weights and applications to universality questions in random matrix theory

Percy Deift; T. Kriecherbauer; K. T-R McLaughlin; Stephanos Venakides; X. Zhou

We consider asymptotics for orthogonal polynomials with respect to varying exponential weights wn(x)dx = e−nV(x)dx on the line as n ∞. The potentials V are assumed to be real analytic, with sufficient growth at infinity. The principle results concern Plancherel-Rotach-type asymptotics for the orthogonal polynomials down to the axis. Using these asymptotics, we then prove universality for a variety of statistical quantities arising in the theory of random matrix models, some of which have been considered recently in [31] and also in [4]. An additional application concerns the asymptotics of the recurrence coefficients and leading coefficients for the orthonormal polynomials (see also [4]). The orthogonal polynomial problem is formulated as a Riemann-Hilbert problem following [19, 20]. The Riemann-Hilbert problem is analyzed in turn using the steepest-descent method introduced in [12] and further developed in [11, 13]. A critical role in our method is played by the equilibrium measure dμV for V as analyzed in [8].


Communications in Mathematical Physics | 1979

Pointwise bounds on eigenfunctions and wave packets in

Percy Deift; Walter Hunziker; Barry Simon; E. Vock

AbstractWe describe several new techniques for obtaining detailed information on the exponential falloff of discrete eigenfunctions ofN-body Schrödinger operators. An example of a new result is the bound (conjectured by Morgan)


Communications in Mathematical Physics | 1983

N

Percy Deift; Barry Simon


Archive | 1993

-body quantum systems. IV

Percy Deift; Alexander Its; X. Zhou

\left| {\psi (x_1 \ldots x_N )} \right| \leqq C\exp ( - \sum\limits_1^N {\alpha _n r_n )}


Geometric and Functional Analysis | 2000

Almost periodic Schrödinger operators. III. The absolutely continuous spectrum in one dimension

Jinho Baik; Percy Deift; Kurt Johansson


Communications on Pure and Applied Mathematics | 2007

Long-Time Asymptotics for Integrable Nonlinear Wave Equations

Percy Deift; Dimitri Gioev

for an eigenfunction ω of


Communications in Mathematical Physics | 1989

On the distribution of the length of the second row of a Young diagram under Plancherel measure

Stanley Alama; Percy Deift; Rainer Hempel


Communications in Mathematical Physics | 1986

Universality at the edge of the spectrum for unitary, orthogonal, and symplectic ensembles of random matrices

Percy Deift; Rainer Hempel

H_N = - \sum\limits_{i = 1}^N {(\Delta _i - } \left. {\frac{Z}{{\left| {x_i } \right|}}} \right) + \sum\limits_{i< j} {\left| {x_i - x_j } \right|^{ - 1} }

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