Shape optimization for low Neumann and Steklov eigenvalues

By A. Girouard, Iosif Polterovich. 2008

59 citations recorded by the source corpus.

We give an overview of results on shape optimization for low eigenvalues of the Laplacian on bounded planar domains with Neumann and Steklov boundary conditions. These results share a common feature: they are proved using methods of complex analysis. In particular, we present modernized proofs of the classical inequalities due to Szegö and Weinstock for the first nonzero Neumann and Steklov eigenvalues. We also extend the inequality for the second nonzero Neumann eigenvalue, obtained recently by Nadirashvili and the authors, to nonhomogeneous membranes with log‐subharmonic densities. In the homogeneous case, we show that this inequality is strict, which implies that the maximum of the second nonzero Neumann eigenvalue is not attained in the class of simply connected membranes of a given mass. The same is true for the second nonzero Steklov eigenvalue, as follows from our results on the Hersch–Payne–Schiffer inequalities. Copyright © 2009 John Wiley & Sons, Ltd.

Subfields: Applied Mathematics, Computational Theory and Mathematics, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/0692fc15a7dc62323a27c6a6581e466c09acad93

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Applied Mathematics

  1. G. Kokarev
  2. A. Fraser
  3. Iosif Polterovich
  4. R. Schoen
  5. David A. Sher
  6. M. Li
  7. A. Girouard
  8. R. Petrides

In Computational Theory and Mathematics

  1. G. Kokarev
  2. David A. Sher
  3. A. Fraser
  4. R. Schoen
  5. Iosif Polterovich
  6. A. Girouard
  7. S. Raju
  8. V. Millot

In Control and Systems Engineering

  1. G. Kokarev
  2. Iosif Polterovich

Citations in the corpus