Put and . The primal solution and its finite element approximation lie in the same affine space with value one at the right endpoint, so . Use
Define the dual solution by
Equivalently satisfies for every . Positivity of gives a unique solution, and one-dimensional regularity gives .
Then . The nodal interpolant belongs to the homogeneous finite element test space, so Galerkin orthogonality gives . Set . Using the primal weak equation,
Integrate the derivative term separately on each element. Since vanishes at every mesh node, all endpoint flux and flux-jump terms vanish. Therefore
The absence of jump terms here follows specifically from one-dimensional nodal interpolation; it is not an assumption that the finite element flux itself is continuous.
Let , , , and . Testing the dual equation with gives
Consequently and . From ,
On an element of length , the interpolation error vanishes at both endpoints and its derivative has zero mean. Two Poincaré inequalities give
Apply Cauchy-Schwarz to the residual identity, with factors and :
If the error is nonzero, cancel its norm after the regularity estimate; if it is zero the conclusion is immediate. One explicit reliable constant is
This proves the requested dual residual bound entirely in terms of the coefficient functions.
Compute from part (b), solve the finite element equations, and calculate the element indicators . Let . Stop when ; the proved reliability bound then certifies the requested true-error tolerance.
Otherwise mark elements carrying a chosen fraction of the total indicator, bisect them, and repeat. To ensure termination as well as a valid stopping test, include a uniform-refinement safeguard, for example bisect every element on every second unsuccessful pass. This preserves adaptive refinement on the other passes while forcing .
Here termination can be justified directly. On each element , so its global norm stays bounded if stays bounded. That stability follows from coercivity after subtracting the fixed lift one at the right endpoint. Hence
The safeguarded algorithm therefore eventually satisfies the strict tolerance. Reliable numerical evaluation of the residual integrals, or an upper bound for their quadrature errors, is part of using the certificate in an implementation.

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