For , direct differentiation yields
Since the planar Laplacian is , the required eigenvalue of is
On the sides the first sine factor vanishes, and on the second sine factor vanishes. Thus the homogeneous Dirichlet boundary condition holds on the whole boundary. The eigenfunction is nonzero, for instance at , where its value is one.
The five-point Laplacian on the square grid is
It adds the second-order central differences in the two coordinate directions and uses the given zero Dirichlet boundary conditions when a neighbouring node lies on the boundary.
The sine addition formula implies
Apply this identity with in the direction and with in the direction. For , it gives
Hence the discrete eigenvalues are
Both sine factors vanish on their respective boundary sides. Also , since and lie strictly between zero and . Thus each array is a nonzero discrete eigenvector, rather than merely the zero solution of the homogeneous system. The separated structure is also described by the five-point Dirichlet Laplacian as a Kronecker sum.
Set , so . The formulas in (a) and (b) give
For , and . Therefore
These trigonometric inequalities imply
Substitution yields the explicit eigenvalue error bound
This constant is asymptotically sharp: Taylor's theorem gives , so . Here denotes Big O notation.
For every admissible , the trigonometric inequality for gives
Thus , in particular for and every .
For these highest-index eigenvalues, use and to obtain
Divide by and take the limit:
For example, eventually the normalized difference exceeds , so the unnormalized difference is at least and tends to . This does not contradict (c): there the indices stay fixed as the grid is refined; here the eigenfunctions oscillate increasingly quickly, with wavelength comparable to the mesh spacing. It illustrates the high-frequency eigenvalue error of the discrete Laplacian.

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