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Ioan Bejenaru

Ioan Bejenaru

· Professor

University of California, San Diego · Mathematics

Active 2001–2025

h-index21
Citations1.4k
Papers675 last 5y
Funding$322k
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About

Ioan Bejenaru received his Ph.D. in Mathematics from the University of California, Berkeley, in 2003. He has held academic positions at UCLA as a Hedrick Assistant Professor from 2004 to 2007, at Texas A&M University as an Assistant Professor from 2007 to 2008, and at the University of Chicago as an Assistant Professor from 2008 to 2012. Since 2012, he has been a faculty member at UC San Diego. His research interests are in the field of Nonlinear Partial Differential Equations and Harmonic Analysis. His work covers a variety of topics including nonlinear Schrödinger equations, systems of dispersive equations, geometric partial differential equations, and the stability of solitons.

Research topics

  • Computer Science
  • Mathematics
  • Pure mathematics
  • Mathematical analysis
  • Geometry
  • Mathematical optimization

Selected publications

  • Global Well-Posedness and Scattering for the Massive Dirac-Klein-Gordon System in Two Dimensions

    Communications in Mathematical Physics · 2025-12-06

    article1st authorCorresponding
  • Global well-posedness and scattering for the massive Dirac-Klein-Gordon system in two dimensions

    arXiv (Cornell University) · 2025-01-07

    preprintOpen access1st authorCorresponding

    We prove global well-posedness and scattering for the massive Dirac-Klein-Gordon system with small and low regularity initial data in dimension two. To achieve this, we impose a non-resonance condition on the masses.

  • Near soliton evolution for $2$-equivariant Schrödinger Maps in two space dimensions

    arXiv (Cornell University) · 2024-08-30

    preprintOpen access1st authorCorresponding

    We consider equivariant solutions for the Schrödinger Map equation in $2+1$ dimensions, with values into $\mathbb{S}^2$. Within each equivariance class $m \in \mathbb{Z}$ this admits a lowest energy nontrivial steady state $Q^m$, which extends to a two dimensional family of steady states by scaling and rotation. If $|m| \geq 3$ then these ground states are known to be stable in the energy space $\dot H^1$, whereas instability and even finite time blow-up along the ground state family may occur if $|m| = 1$. In this article we consider the most delicate case $|m| = 2$. Our main result asserts that small $\dot H^1$ perturbations of the ground state $Q^2$ yield global in time solutions, which satisfy global dispersive bounds. Unlike the higher equivariance classes, here we expect solutions to move arbitrarily far along the soliton family; however, we are able to provide a time dependent bound on the growth of the scale modulation parameter. We also show that within the equivariant class the ground state is stable in a slightly stronger topology $X \subset \dot H^1$.

  • The multilinear restriction estimate: almost optimality and localization

    Mathematical Research Letters · 2022 · 5 citations

    1st authorCorresponding
    • Mathematics
    • Mathematical optimization
    • Pure mathematics

    The first result in this paper provides a very general $\epsilon$-removal argument for the multilinear restriction estimate. The second result provides a refinement of the multilinear restriction estimate in the case when some terms have appropriate localization properties; this generalizes a prior result of the author.

  • The Almost Optimal Multilinear Restriction Estimate for Hypersurfaces with Curvature: The Case of<i>n-1</i>Hypersurfaces in ℝn

    International Mathematics Research Notices · 2021 · 4 citations

    1st authorCorresponding
    • Computer Science
    • Mathematics
    • Pure mathematics

    Abstract In this paper, we establish the optimal multilinear restriction estimate for $n-1$ hypersurfaces with some curvature, where $n$ is the dimension of the underlying space. The result is sharp up to the end point and the role of curvature is made precise in terms of the shape operator.

  • The almost optimal multilinear restriction estimate for hypersurfaces with curvature: the case of $n-1$ hypersurfaces in R^n

    arXiv (Cornell University) · 2020 · 2 citations

    1st authorCorresponding
    • Computer Science
    • Mathematics
    • Pure mathematics

    In this paper we establish the optimal multilinear restriction estimate for n-1 hypersurfaces with some curvature, where $n$ is the dimension of the underlying space. The result is sharp up to the endpoint and the role of curvature is made precise in terms of the shape operator.

  • The almost optimal multilinear restriction estimate for hypersurfaces\n with curvature: the case of $n-1$ hypersurfaces in R^n

    arXiv (Cornell University) · 2020-02-27

    preprintOpen access1st authorCorresponding

    In this paper we establish the optimal multilinear restriction estimate for\nn-1 hypersurfaces with some curvature, where $n$ is the dimension of the\nunderlying space. The result is sharp up to the endpoint and the role of\ncurvature is made precise in terms of the shape operator.\n

  • The multilinear restriction estimate: almost optimality and localization

    arXiv (Cornell University) · 2019-12-13

    preprintOpen access1st authorCorresponding

    The first result in this paper provides a very general $ε$-removal argument for the multilinear restriction estimate. The second result provides a refinement of the multilinear restriction estimate in the case when some terms have appropriate localization properties; this generalizes a prior result of the author.

  • The multilinear restriction estimate: a short proof and a refinement

    Mathematical Research Letters · 2017-01-01 · 2 citations

    preprintOpen access1st authorCorresponding

    We provide an alternative and self contained proof of the main result of Bennett, Carbery, Tao regarding the multilinear restriction estimate. The approach is inspired by the recent result of Guth about the Kakeya version of multilinear restriction estimate. At lower levels of multilinearity we provide a refined estimate in the context of small support for one of the terms involved.

  • Optimal Bilinear Restriction Estimates for General Hypersurfaces and the Role of the Shape Operator

    International Mathematics Research Notices · 2016-10-13 · 2 citations

    preprintOpen access1st authorCorresponding

    It is known that under some transversality and curvature assumptions on the hypersurfaces involved, the bilinear restriction estimate holds true with better exponents than what would trivially follow from the corresponding linear estimates. This subject was extensively studied for conic and parabolic surfaces with sharp results proved by Wolff and Tao, and with later generalizations by Lee. In this paper we provide a unified theory for general hypersurfaces and clarify the role of curvature in this problem, by making statements in terms of the shape operators of the hypersurfaces involved.

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