Put , , with fixed positive . Insert a smooth exact solution and divide the residual by :
Taylor expansion gives
The differential equation cancels the leading part, leaving normalized local truncation error . Since contains mixed derivatives, there is no fixed positive Courant number canceling this leading error for every smooth solution. Thus the method is second order in time and space. Global second-order convergence also requires stability and initial values at both time levels accurate enough to retain this order.
Use a spatial discrete Fourier mode . Its recurrence and amplification polynomial of a multilevel finite difference scheme are
The polynomial roots are . For both have modulus one and are separated. Since , a fixed bounds their separation below by . The two-level companion matrix is therefore diagonalizable with uniformly bounded eigenvector matrix and inverse. To see the uniform bound explicitly, write . Its determinant is ; all its entries have modulus one, and those of are bounded by the reciprocal of the root separation. The companion matrix powers are , bounded independently of frequency and step number. Parseval's identity converts this into a mesh-independent discrete bound for arbitrary perturbations at the two initial levels.
If , choose . Then , and one polynomial root has modulus . On periodic meshes with the number of points divisible by four, this is an actual grid mode, producing exponential linear instability.
At the same phases give . The companion matrix is not a scalar matrix, so the double polynomial root has a nontrivial Jordan block. The solution has bounded starting amplitudes but grows like . On a fixed physical time interval is of order , so no mesh-independent stability bound exists. Consequently
is the stability interval under the standard two-level definition. Testing only polynomial root moduli would misleadingly include the endpoint. A special startup selecting the non-growing branch at that endpoint restricts the perturbations and does not establish stability of the full recurrence. This is the two-dimensional leapfrog stability threshold.

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