For a monotone discrete elliptic operator, a nonnegative mesh function with can bound errors through the discrete maximum principle. If and the boundary error is zero, the subsolutions yield . On different subregions one may use different lower bounds for and different truncation-error bounds, taking the maximum of their ratios. Nonnegativity, or an explicit subtraction of the minimum when , is essential for the unshifted estimate.
For a normalized two-dimensional discrete Laplacian satisfying the discrete maximum principle, suppose quadratic functions are differentiated exactly and . In a domain of diameter , choose in the domain and . Then and . Applying the discrete elliptic barrier argument to zero-boundary error gives the displayed bound. A mere sign pattern of the stencil does not determine this constant: rescaling the whole operator changes the error-to-residual ratio without changing the domain diameter.
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