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.
Energetic space
Formally, consider a real Hilbert space with the inner product and the norm . Let be a linear subspace of and be a strongly monotone symmetric linear operator, that is, a linear operator satisfying
* for all in
* for some constant and all in
The energetic inner product is defined as : for all in and the energetic norm is: for all in
The set together with the energetic inner product is a pre-Hilbert space. The energetic space is defined as the completion of in the energetic norm. can be considered a subset of the original Hilbert space since any Cauchy sequence in the energetic norm is also Cauchy in the norm of (this follows from the strong monotonicity property of ).
The energetic inner product is extended from to by: where and are sequences in "Y" that converge to points in in the energetic norm.
Energetic extension
The operator admits an energetic extension
:
defined on with values in the dual space that is given by the formula
: for all in
Here, denotes the duality bracket between and so actually denotes
If and are elements in the original subspace then
:
by the definition of the energetic inner product. If one views which is an element in as an element in the dual via the Riesz representation theorem, then will also be in the dual (by the strong monotonicity property of ). Via these identifications, it follows from the above formula that In different words, the original operator can be viewed as an operator and then is simply the function extension of from to
An example from physics
Consider a string whose endpoints are fixed at two points