Nodal domains of a non-separable problem - the right angled isosceles triangle
arXiv:1110.1521 · doi:10.1088/1751-8113/45/8/085209
Abstract
We study the nodal set of eigenfunctions of the Laplace operator on the right angled isosceles triangle. A local analysis of the nodal pattern provides an algorithm for computing the number of nodal domains for any eigenfunction. In addition, an exact recursive formula for the number of nodal domains is found to reproduce all existing data. Eventually we use the recursion formula to analyse a large sequence of nodal counts statistically. Our analysis shows that the distribution of nodal counts for this triangular shape has a much richer structure than the known cases of regular separable shapes or completely irregular shapes. Furthermore we demonstrate that the nodal count sequence contains information about the periodic orbits of the corresponding classical ray dynamics.
References in corpus (9)
- Random wave functions and percolation
- Experimental investigation of nodal domains in the chaotic microwave rough billiard
- Investigation of nodal domains in the chaotic microwave ray-splitting rough billiard
- Can one count the shape of a drum?
- Nodal Domain Statistics for Quantum Maps, Percolation and SLE
- Counting nodal domains on surfaces of revolution
- Nodal domain distribution of rectangular drums
- Inverse Nodal Problems
- Trace formula for counting nodal domains on the boundaries of chaotic 2D billiards
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- Exact eigenfunction amplitude distributions of integrable quantum billiards
- A nodal domain theorem for integrable billiards in two dimensions
- Courant-sharp eigenvalues of Neumann 2-rep-tiles
- Raising and lowering operators for quantum billiards
- On the Nodal Count Statistics for Separable Systems in any Dimension