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 gives
The 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, but
Thus 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 with
Putting 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 satisfies
so it is a minimizer. Testing by gives the minimum value
This value is independent of the arbitrary additive constant when . If the compatibility fails, constant shifts make unbounded below.
Write . The Galerkin method gives
Symmetry of gives . For , . Equality forces constant by positive definiteness and connectedness. Since the basis sums to one, the coefficient vector represents that constant, giving
Thus 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 are
The 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 yields
Define 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 give
where 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 are
The mass matrix has entries . Each product separates into one-dimensional factors, with and . Diagonal, adjacent-corner and opposite-corner entries are respectively , , . Thus
Number 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 stencil
In 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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