Hans Lindblad

lindblad@math.jhu.edu       
curriculum vitae
publications

Teaching:

741 Topics in Partial Differential Equations: Blow up for Euler's equations.
212 Honors Linear Algebra.
712 Topics in Mathematical Physics: Energy estimates for the wave equation on curved background.
637 Functional Analysis.
741 Topics in Partial Differential Equations: Linear Stability of Black Holes.
201 Linear Algebra.
712 Topics in Mathematical Physics: Scattering for Nonlinear Klein Gordon.
211 Honors Multivariable Calculus.
633 Harmonic Analysis: Fourier Analysis
742 Topics in Partial Differential Equations: The Analysis of Black Holes
712 Topics in Mathematical Physics: Fluid Mechanics
439 Introduction To Differential Geometry
712 Topics in Mathematical Physics: Existence for Einstein's equations.
302 Differential Equations.
631 Partial differential equations I: Linear Equations mostly Elliptic.
632 Partial differential equations II: Variable coefficient and nonlinear Equations mostly hyperbolic.

Research:

My research concerns basic mathematical questions about nonlinear wave equations arising in Physics. I am interested in existence, stability and behavior of solutions to hyperbolic differential equations. Many important equations in physics can be written as systems of nonlinear wave equations, e.g. equations of continuum mechanics and Euler's equations, describing the motion of elastic bodies and fluids, Einstein's equations of general relativity, that relate the geometry of space-time to the motion of matter, Yang-Mills' equations that generalize Maxwell's equations of electromagnetism. Specifically I work on My preprints can be downloaded at arXiv. Slides for some recent talks can be download here:
Global existence and scattering for Einstein's equations and related equations satisfying the weak null condition. Harvard October 2019
Scattering from infinity with singular asymptotics for wave equations satisfying the weak null condition. AMS Sectional Meeting March 2021.
Scattering for wave equations with slowly decaying sources and data. Princeton April 2023.