The first-order Sobolev space is , with derivatives understood as weak derivatives and norm squared .
The printed normal boundary condition must be distinguished from a conormal condition. Take symmetric positive definite, as required for the symmetric matrix requested later. Integration by parts givesThe natural boundary term contains the conormal derivative , not the ordinary normal derivative . On a smooth boundary, writing for its unit tangent, the literal condition leaves the term , where . Its weak form therefore retains a boundary pairing:Here the tangential derivative of the Sobolev trace can be interpreted in and paired against on a smooth boundary. This form is generally nonsymmetric; the requested usual symmetric energy construction does not follow from the literal boundary condition.
For an explicit failure of the claimed mean-zero compatibility, take the unit disk, and . It has on the circle, butThus replacing the printed normal condition by a zero conormal flux is not harmless.
For the intended zero-conormal derivative problem, the requested variational and finite element conclusions are as follows. Seek withPutting gives . On a connected domain this condition permits a solution unique modulo constants; the Poincare-Wirtinger inequality gives coercivity after fixing the mean.
The energy is . A minimizer satisfies . Conversely, a weak solution satisfiesso it is a minimizer. Testing by gives the minimum valueThis value is independent of the arbitrary additive constant when . If the compatibility fails, constant shifts make unbounded below.
Write . The Galerkin method givesSymmetry of gives . For , . Equality forces constant by positive definiteness and connectedness. Since the basis sums to one, the coefficient vector represents that constant, givingThus the stiffness matrix is symmetric positive semidefinite and singular; the displayed compatibility condition is necessary and sufficient for the finite system. Positive definiteness of controls every gradient direction, preventing additional zero-energy directions and supplying ellipticity. A degenerate coefficient can introduce further kernel modes, while an indefinite one destroys the minimizing-energy argument.
Take the affine trial space and the test space . Multiplication by and integration by parts incorporate the right Neumann boundary condition as a load:For the continuous piecewise-quadratic trial space, impose the left value exactly and use the same equation for every piecewise-quadratic test function vanishing at . With a basis of that test space and , the finite element equations areThe Endpoint Poincaré inequality, reflected about the interval midpoint, makes the derivative norm a norm on . Galerkin orthogonality then gives the exact best-approximation identity: for every admissible ,Therefore minimizes the derivative error over all admissible piecewise-quadratic functions.
To prove the requested error bound, assume . Then and . We need an elementary Poincare-Wirtinger inequality on each element of length : if has mean zero, its continuous representative has a zero somewhere, and the fundamental theorem of calculus and Cauchy-Schwarz inequality give .
Choose an affine function whose slope is the average of on and whose average equals the average of . Then and both have mean zero. Applying the just-proved bound twice yieldsDefine a quadratic interpolant on by integrating from the true left-endpoint value. The equal-average condition ensures that it reaches the true right-endpoint value, so these pieces join to an admissible continuous piecewise-quadratic function . Sum the squared estimates and use the best-approximation property:Only the maximum element length is used; equal spacing is unnecessary.
For the Aubin–Nitsche duality argument, let and solve , , . Explicitly , so . Integration by parts and Galerkin orthogonality givewhere is its nodal piecewise-linear interpolant, which belongs to the quadratic test space. On each element is the average of , so the same mean-zero inequality gives . Canceling when nonzero proves the additional order:
The bilinear square finite element contains the terms . In anticlockwise corner order beginning at , its shape functions areThe mass matrix has entries . Each product separates into one-dimensional factors, with and . Diagonal, adjacent-corner and opposite-corner entries are respectively , , . ThusNumber global grid nodes by , with , and . For an interior node, four elements contribute to its diagonal, two to each axial neighbour and one to each diagonal neighbour. Its global row therefore has the nine-point stencilIn the stated ordering the axial entries occur at columns and ; the four diagonal ones occur at . No boundary degrees of freedom have been removed.
For general valid quadrilaterals, use an isoparametric finite element. Map the unit square to an element by and define physical shape functions . Require a one-to-one nondegenerate map and compatible common edges. On a shared edge the map and the trace of each shape function are linear between the same endpoints; the neighbouring traces therefore agree. The assembled functions are continuous and lie in , giving a conforming finite element space. On a non-parallelogram the pulled-back functions are generally not bilinear polynomials in the physical coordinates themselves.
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