For , the Jacobi method iteration matrix has zero diagonal, nonnegative axial entries , and diagonal-neighbour entries . Its row sums are at most one; they are strictly below one at grid points next to the Dirichlet boundary. Its graph is connected by the positive axial entries.
To prove the strict spectral radius bound, let with and choose a component of maximum magnitude . Thenso . If equality held, every positive-weight neighbour of a maximal component would also have modulus , and that row would have sum one. Propagating along axial edges reaches a boundary-adjacent row, whose sum is strictly less than one, a contradiction. This also covers a one-point interior grid, for which . HenceThe standard convergence theorem for a stationary linear iteration says it converges from every initial vector exactly when its iteration matrix has spectral radius below one. Since is invertible by (i), the error satisfies andWeak row diagonal dominance alone would not prove convergence; the connection to a strictly deficient boundary row supplies the required strictness.
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