Consider the same problem on a finite-dimensional subspace of so, in satisfies
for all in
By the Lax–Milgram theorem, each of these problems has exactly one solution. Céa's lemma states that
for all in
That is to say, the subspace solution is "the best" approximation of in up to the constant
The proof is straightforward
for all in
We used the -orthogonality of and
which follows directly from
for all in .
Note: Céa's lemma holds on complex Hilbert spaces also, one then uses a sesquilinear form instead of a bilinear one. The coercivity assumption then becomes for all in (notice the absolute value sign around ).
Error estimate in the energy norm
In many applications, the bilinear form is symmetric, so
for all in
This, together with the above properties of this form, implies that is an inner product on The resulting norm
is called the energy norm, since it corresponds to a physical energy in many problems. This norm is equivalent to the original norm
Hence, in the energy norm, the inequality in Céa's lemma becomes
for all in
(notice that the constant on the right-hand side is no longer present).
This states that the subspace solution is the best approximation to the full-space solution in respect to the energy norm. Geometrically, this means that is the projection of the solution onto the subspace in respect to the inner product (see the adjacent picture).
Using this result, one can also derive a sharper estimate in the norm . Since
Physically, the solution to this two-point boundary value problem represents the shape taken by a string under the influence of a force such that at every point between and the force density is (where is a unit vector pointing vertically, while the endpoints of the string are on a horizontal line, see the adjacent picture). For example, that force may be the gravity, when is a constant function (since the gravitational force is the same at all points).
Let the Hilbert space be the Sobolev space which is the space of all square-integrable functions defined on that have a weak derivative on with also being square integrable, and satisfies the conditions The inner product on this space is
for all and in
After multiplying the original boundary value problem by in this space and performing an integration by parts, one obtains the equivalent problem
for all in ,
with
,
and
It can be shown that the bilinear form and the operator satisfy the assumptions of Céa's lemma.
In order to determine a finite-dimensional subspace of consider a partition
of the interval and let be the space of all continuous functions that are affine on each subinterval in the partition (such functions are called piecewise-linear). In addition, assume that any function in takes the value 0 at the endpoints of It follows that is a vector subspace of whose dimension is (the number of points in the partition that are not endpoints).
Let be the solution to the subspace problem
for all in
so one can think of as of a piecewise-linear approximation to the exact solution By Céa's lemma, there exists a constant dependent only on the bilinear form such that
for all in
To explicitly calculate the error between and consider the function in that has the same values as at the nodes of the partition (so is obtained by linear interpolation on each interval from the values of at interval's endpoints). It can be shown using Taylor's theorem that there exists a constant that depends only on the endpoints and such that
for all in where is the largest length of the subintervals in the partition, and the norm on the right-hand side is the L2 norm.
This inequality then yields an estimate for the error
Then, by substituting in Céa's lemma it follows that
where is a different constant from the above (it depends only on the bilinear form, which implicitly depends on the interval ).
This result is of a fundamental importance, as it states that the finite element method can be used to approximately calculate the solution of our problem, and that the error in the computed solution decreases proportionately to the partition size Céa's lemma can be applied along the same lines to derive error estimates for finite element problems in higher dimensions (here the domain of was in one dimension), and while using higher order polynomials for the subspace
Johnson, Claes (1987). Numerical solution of partial differential equations by the finite element method. Cambridge University Press. ISBN0-521-34514-6.
Monk, Peter (2003). Finite element methods for Maxwell's equations. Oxford University Press. ISBN0-19-850888-3.