Nonlinear Partial Differential Equations for Future Applications: Sendai, Japan, July 10?28 and October 2?6, 2017 (Springer Proceedings in Mathematics & Statistics, 346)

This volume features selected, original, and peer-reviewed papers on topics from a series of workshops on Nonlinear Partial Differential Equations for Future Applications that were held in 2017 at Tohoku University in Japan. 

 

The contributions address an abstract maximal regularity with applications to parabolic equations, stability, and bifurcation  for viscous compressible Navier–Stokes equations, new estimates for a compressible Gross–Pitaevskii–Navier–Stokes system, singular limits for the Keller–Segel system in critical spaces, the dynamic programming principle for stochastic optimal control, two kinds of regularity machineries for elliptic obstacle problems,  and new insight on topology of nodal sets of high-energy eigenfunctions of the Laplacian. 

 

This book aims to exhibit various theories and methods that appear in the study of nonlinear partial differential equations. 

 

This volume features selected, original, and peer-reviewed papers on topics from a series of workshops on Nonlinear Partial Differential Equations for Future Applications that were held in 2017 at Tohoku University in Japan. 

 

The contributions address an abstract maximal regularity with applications to parabolic equations, stability, and bifurcation  for viscous compressible Navier–Stokes equations, new estimates for a compressible Gross–Pitaevskii–Navier–Stokes system, singular limits for the Keller–Segel system in critical spaces, the dynamic programming principle for stochastic optimal control, two kinds of regularity machineries for elliptic obstacle problems,  and new insight on topology of nodal sets of high-energy eigenfunctions of the Laplacian. 

 

This book aims to exhibit various theories and methods that appear in the study of nonlinear partial differential equations.