Energetic space
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In mathematics, more precisely in functional analysis, an energetic space is, intuitively, a subspace of a given real Hilbert space equipped with a new "energetic" inner product. The motivation for the name comes from physics, as in many physical problems the energy of a system can be expressed in terms of the energetic inner product. An example of this will be given later in the article.
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[edit] Energetic space
Formally, consider a real Hilbert space X with the inner product
and the norm
. Let Y be a linear subspace of X and
be a strongly monotone symmetric linear operator, that is, a linear operator satisfying
for all u,v in Y
for some constant c > 0 and all u in Y.
The energetic inner product is defined as
for all u,v in Y
and the energetic norm is
for all u in Y.
The set Y together with the energetic inner product is a pre-Hilbert space. The energetic space XE is defined as the completion of Y in the energetic norm. XE can be considered a subset of the original Hilbert space X, since any Cauchy sequence in the energetic norm is also Cauchy in the norm of X (this follows from the strong monotonicity property of B).
The energetic inner product is extended from Y to XE by
where (un) and (vn) are sequences in Y that converge to points in XE in the energetic norm.
[edit] Energetic extension
The operator B admits an energetic extension BE
defined on XE with values in the dual space
that is given by the formula
for all u,v in XE.
Here,
denotes the duality bracket between
and XE, so
actually denotes (BEu)(v).
If u and v are elements in the original subspace Y, then
by the definition of the energetic inner product. If one views Bu, which is an element in X, as an element in the dual X * via the Riesz representation theorem, then Bu will also be in the dual
(by the strong monotonicity property of B). Via these identifications, it follows from the above formula that BEu = Bu. In different words, the original operator
can be viewed as an operator
and then
is simply the function extension of B from Y to XE.
[edit] An example from physics
Consider a string whose endpoints are fixed at two points a < b on the real line (here viewed as a horizontal line). Let the vertical outer force density at each point x
on the string be
, where
is a unit vector pointing vertically and
Let u(x) be the deflection of the string at the point x under the influence of the force. Assuming that the deflection is small, the elastic energy of the string is
and the total potential energy of the string is
The deflection u(x) minimizing the potential energy will satisfy the differential equation
with boundary conditionss
To study this equation, consider the space X = L2(a,b), that is, the Lp space of all square integrable functions
in respect to the Lebesgue measure. This space is Hilbert in respect to the inner product
with the norm being given by
Let Y be the set of all twice continuously differentiable functions
with the boundary conditionss u(a) = u(b) = 0. Then Y is a linear subspace of X.
Consider the operator
given by the formula
so the deflection satisfies the equation Bu = f. Using integration by parts and the boundary conditions, one can see that
for any u and v in Y. Therefore, B is a symmetric linear operator.
B is also strongly monotone, since, by the Friedrichs' inequality
for some C > 0.
The energetic space in respect to the operator B is then the Sobolev space
We see that the elastic energy of the string which motivated this study is
so it is half of the energetic inner product of u with itself.
To calculate the deflection u minimizing the total potential energy F(u) of the string, one writes this problem in the form
for all v in XE.
Next, one usually approximates u by some uh, a function in a finite-dimensional subspace of the true solution space. For example, one might let uh be a continuous piecewise-linear function in the energetic space, which gives the finite element method. The approximation uh can be computed by solving a linear system of equations.
The energetic norm turns out to be the natural norm in which to measure the error between u and uh, see Céa's lemma.
[edit] See also
[edit] References
- Zeidler, Eberhard (1995). Applied functional analysis: applications to mathematical physics. New York: Springer-Verlag. ISBN 0387944427.
- Johnson, Claes (1987). Numerical solution of partial differential equations by the finite element method. Cambridge University Press. ISBN 0521345146.













