The weak equation implies in distributions, hence . Its nodal interpolant satisfies
These follow interval by interval: the interpolation error vanishes at both endpoints, and its derivative has mean zero, so two Poincaré inequalities apply. If and are the continuity and coercivity constants, Céa's lemma gives
All constants are independent of the mesh size.
Testing against compactly supported smooth functions gives the distributional identity . The right side belongs to , since and is bounded. Therefore and . This also makes the endpoint derivative traces meaningful, and integrating the weak form by parts recovers the Robin conditions.
The standard piecewise linear finite element interpolation estimate is
with constants independent of . Hence for . By Céa's lemma, with the fixed continuity and coercivity constants of ,
The constant depends on the continuous problem but not on mesh refinement.
The Sobolev space consists of functions with a weak first derivative in , with norm
In one dimension these functions have absolutely continuous representatives and well-defined endpoint Sobolev traces. Put
This is a closed subspace, hence a Hilbert space. Both trial and test functions belong to ; one does not impose a derivative boundary condition in this space.
Integrate the differential equation against :
The printed condition uses the ordinary derivative, , so the weak form is
Seek with for all . The coefficient in the endpoint term must be retained: replacing the ordinary derivative with the conormal flux would change the boundary problem.
Let . The Poincaré inequality on can be stated as . Also . Consequently
proving coercivity. By Cauchy-Schwarz inequality and the trace bound,
Thus continuity holds with . The load is continuous if , and the Lax-Milgram theorem gives a unique weak solution.
Choose a finite-dimensional conforming subspace , such as continuous piecewise linear functions vanishing at , and solve for every . Subtracting the weak equations gives Galerkin orthogonality .
Céa's lemma states, for a continuous coercive bilinear form with constants on a Hilbert space,
To prove it, put and use orthogonality to write for any . Coercivity and continuity give . If the claim is immediate; otherwise cancel its norm and take the infimum. Any approximation theorem making the infimum tend to zero under mesh refinement therefore gives strong convergence in .
Finally, is symmetric and positive definite on . It is an inner product, so is an energy norm on all of : homogeneity and definiteness are immediate, and Cauchy-Schwarz inequality for this inner product gives the triangle inequality. No smaller space is required. In this norm the continuity and coercivity constants are one. More precisely, Galerkin orthogonality gives
so
The finite element solution is the exact best energy-norm approximation.
A real bilinear form is a coercive bilinear form on when for all and some fixed . It is a bounded bilinear form, equivalently continuous, when for one finite . A continuous linear functional satisfies .
The Galerkin method seeks with for all . Subtraction from the continuous equations gives Galerkin orthogonality: for every . Under the stated continuity and coercivity assumptions, Céa's lemma says
Indeed, with and any , Galerkin orthogonality eliminates :
If the claim is immediate; otherwise cancel and take the infimum. No symmetry of was used. These statements define an approximation when it exists; a finite-dimensional gives existence and uniqueness by the Lax-Milgram theorem, as does a closed vector subspace.
For the interval example write and . The one-dimensional Sobolev representative of satisfies
by the Cauchy-Schwarz inequality. The representation follows by taking the absolutely continuous function primitive of the weak derivative; its difference from has zero weak derivative, hence is constant, and fixes that constant. Integrating the estimate gives the Endpoint Poincaré inequality
Thus the nonnegative potential gives
For continuity, , the Cauchy-Schwarz inequality for the two integrals, and then its two-dimensional version give
Similarly , proving continuity of the linear functional.
For the last displayed integral take and retain the endpoint condition , the domain-consistent interpretation of the changed formula. The changed form is still coercive. A negative potential on part of the interval does not by itself destroy coercivity. The sharper pointwise estimate above gives
Discarding only the positive part of the potential yields
The proved Endpoint Poincaré inequality with gives , and therefore
This is a concrete application of negative-potential domination by endpoint control. The constant is sufficient, without claiming to be optimal.