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Neumann Eigenvalue Sums on Triangles Are (Mostly) Minimal for Equilaterals by Laugesen, R. S.; Pan, Z. C.; Son, S. S. is a scholarly article available to read on EtoBox.

What is Neumann Eigenvalue Sums on Triangles Are (Mostly) Minimal for Equilaterals about?

We prove that among all triangles of given diameter, the equilateral triangle minimizes the sum of the first $n$ eigenvalues of the Neumann Laplacian, when $n \geq 3$. The result fails for $n=2$, because the second eigenvalue is known to be minimal for the degenerate acute isosceles triangle (rather than for the equilateral) while the first eigenvalue is 0 for every triangle. We show the third eigenvalue is minimal for the equilateral triangle.

Author

Laugesen, R. S.; Pan, Z. C.; Son, S. S.

Published

2011

Language

EN