For energy stability for variable-coefficient reaction diffusion, let , let be the Dirichlet discrete Laplacian, and set . Use the mesh-weighted inner product with the corresponding discrete L2 norm. For zero boundary values, summation by parts gives
For a solution, or a difference of two solutions, the energy method gives
The Gronwall inequality therefore proves
The constant is independent of , so this is stability of a numerical method on every fixed finite time interval. The bound allows physical growth if ; stability here does not mean uniform boundedness as .
There is also a uniform maximum-norm bound. At a positive spatial maximum the second difference is nonpositive. Applying this observation to and to its negative gives . With a perturbing source , the Duhamel principle gives the corresponding initial-data bound plus in either norm. Thus the estimate controls accumulated residuals as well as initial perturbations.
The original PDF has on the left of the update; the converted TeX omits its . Use the Forward Euler method with and . The explicit time stepping for bounded reaction diffusion update matrix is
When , the heat update has nonnegative stencil weights and row sums at most one. Hence its induced maximum operator norm is at most one. It is also a symmetric matrix with eigenvalues
all in , so its discrete L2 norm operator bound is at most one too. Let . In either of these norms,
Iteration gives the mesh-uniform stability estimate
The same estimate applies to differences of solutions. Adding a per-step defect gives .
This proof only requires and bounded reaction coefficients. It does not assume the full update is nonnegative: a negative can make its middle stencil weight negative when . Nor does it claim contractivity or an all-time bound for every coefficient. The required stability is a bound uniform in the discretization on fixed finite intervals.

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