Taking in the dual problem, and using , gives
Hence . Testing with smooth compactly supported functions identifies in distributions. Therefore and , with
integration by parts with arbitrary endpoint test values also gives the natural Neumann boundary conditions .
Put and . Galerkin orthogonality gives , so the dual identity becomes
On , is constant and is zero at both endpoints. Consequently . Defining the element residual by
gives
No derivative-jump terms survive, because this interpolation error vanishes at every mesh node. This is the mechanism of the explicit one-dimensional dual residual bound in L2.
Two interval Poincaré inequalities give : the error has zero endpoint values and its derivative has zero mean. Apply Cauchy-Schwarz inequality on each interval and then to the sum:
Here . Taking and cancelling its norm, unless it is zero already, yields
For adaptive refinement, solve the discrete problem, compute , and stop when . Otherwise mark intervals carrying a fixed positive fraction of , bisect them, and repeat. Residual integration must be exact or have a certified upper bound if the stopping test is to certify the requested tolerance.
Use residual adaptation with a uniform-refinement safeguard, for example global bisection every second refinement, to ensure eventual termination. Discrete energy stability gives , so independently of the mesh. Thus tends to zero under the safeguard. Other iterations concentrate work where the residual is large.

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