Friedrichs Extension
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functional analysis Functional analysis is a branch of mathematical analysis, the core of which is formed by the study of vector spaces endowed with some kind of limit-related structure (for example, Inner product space#Definition, inner product, Norm (mathematics ...
, the Friedrichs extension is a
canonical The adjective canonical is applied in many contexts to mean 'according to the canon' the standard, rule or primary source that is accepted as authoritative for the body of knowledge or literature in that context. In mathematics, ''canonical exampl ...
self-adjoint In mathematics, an element of a *-algebra is called self-adjoint if it is the same as its adjoint (i.e. a = a^*). Definition Let \mathcal be a *-algebra. An element a \in \mathcal is called self-adjoint if The set of self-adjoint elements ...
extension of a non-negative densely defined symmetric operator. It is named after the mathematician Kurt Friedrichs. This extension is particularly useful in situations where an operator may fail to be essentially self-adjoint or whose essential self-adjointness is difficult to show. An operator ''T'' is non-negative if : \langle \xi \mid T \xi \rangle \geq 0 \quad \xi \in \operatorname\ T


Examples

Example. Multiplication by a non-negative function on an ''L''2 space is a non-negative self-adjoint operator. Example. Let ''U'' be an open set in R''n''. On ''L''2(''U'') we consider
differential operator In mathematics, a differential operator is an operator defined as a function of the differentiation operator. It is helpful, as a matter of notation first, to consider differentiation as an abstract operation that accepts a function and retur ...
s of the form : \phix) = -\sum_ \partial_ \ \quad x \in U, \phi \in \operatorname_c^\infty(U), where the functions ''a''''i j'' are infinitely differentiable real-valued functions on ''U''. We consider ''T'' acting on the dense subspace of infinitely differentiable complex-valued functions of compact support, in symbols : \operatorname_c^\infty(U) \subseteq L^2(U). If for each ''x'' ∈ ''U'' the ''n'' × ''n'' matrix : \begin a_(x) & a_(x) & \cdots & a_(x) \\ a_(x) & a_ (x) & \cdots & a_(x) \\ \vdots & \vdots & \ddots & \vdots \\ a_(x) & a_(x) & \cdots & a_(x) \end is non-negative semi-definite, then ''T'' is a non-negative operator. This means (a) that the matrix is
hermitian {{Short description, none Numerous things are named after the French mathematician Charles Hermite (1822–1901): Hermite * Cubic Hermite spline, a type of third-degree spline * Gauss–Hermite quadrature, an extension of Gaussian quadrature me ...
and : \sum_ a_(x) c_i \overline \geq 0 for every choice of complex numbers ''c''1, ..., ''c''n. This is proved using
integration by parts In calculus, and more generally in mathematical analysis, integration by parts or partial integration is a process that finds the integral of a product of functions in terms of the integral of the product of their derivative and antiderivati ...
. These operators are elliptic although in general elliptic operators may not be non-negative. They are however bounded from below.


Definition of Friedrichs extension

The definition of the Friedrichs extension is based on the theory of closed positive forms on Hilbert spaces. If ''T'' is non-negative, then : \operatorname(\xi, \eta) = \langle \xi \mid T \eta \rangle + \langle \xi \mid \eta \rangle is a sesquilinear form on dom ''T'' and : \operatorname(\xi, \xi) = \langle \xi \mid T \xi\rangle + \langle \xi \mid \xi \rangle \geq \, \xi\, ^2. Thus Q defines an inner product on dom ''T''. Let ''H''1 be the completion of dom ''T'' with respect to Q. ''H''1 is an abstractly defined space; for instance its elements can be represented as
equivalence class In mathematics, when the elements of some set S have a notion of equivalence (formalized as an equivalence relation), then one may naturally split the set S into equivalence classes. These equivalence classes are constructed so that elements ...
es of
Cauchy sequence In mathematics, a Cauchy sequence is a sequence whose elements become arbitrarily close to each other as the sequence progresses. More precisely, given any small positive distance, all excluding a finite number of elements of the sequence are le ...
s of elements of dom ''T''. It is not obvious that all elements in ''H''1 can be identified with elements of ''H''. However, the following can be proved: The canonical inclusion : \operatorname T \rightarrow H extends to an ''injective'' continuous map ''H''1 → ''H''. We regard ''H''1 as a subspace of ''H''. Define an operator ''A'' by : \operatorname\ A = \ In the above formula, ''bounded'' is relative to the topology on ''H''1 inherited from ''H''. By the
Riesz representation theorem The Riesz representation theorem, sometimes called the Riesz–Fréchet representation theorem after Frigyes Riesz and Maurice René Fréchet, establishes an important connection between a Hilbert space and its continuous dual space. If the un ...
applied to the linear functional φξ extended to ''H'', there is a unique ''A'' ξ ∈ ''H'' such that : \operatorname(\xi,\eta) = \langle A \xi \mid \eta \rangle \quad \eta \in H_1 Theorem. ''A'' is a non-negative self-adjoint operator such that ''T''1=''A'' - I extends ''T''. ''T''1 is the Friedrichs extension of ''T''. Another way to obtain this extension is as follows. Let : L:H_1\rightarrow H be the bounded inclusion operator. The inclusion is a bounded injective with dense image. Hence LL^*:H\rightarrow H is a bounded injective operator with dense image, where L^* is the adjoint of L as an operator between abstract Hilbert spaces. Therefore, the operator A:=(LL^*)^ is a non-negative self-adjoint operator whose domain is the image of LL^* . Then A-I extends T.


Krein's theorem on non-negative self-adjoint extensions

M. G. Krein has given an elegant characterization of all non-negative self-adjoint extensions of a non-negative symmetric operator ''T''. If ''T'', ''S'' are non-negative self-adjoint operators, write : T \leq S if, and only if, * \operatorname(S^) \subseteq \operatorname(T^) * \langle T^ \xi \mid T^ \xi \rangle \leq \langle S^ \xi \mid S^ \xi \rangle \quad \forall \xi \in \operatorname(S^) Theorem. There are unique self-adjoint extensions ''T''min and ''T''max of any non-negative symmetric operator ''T'' such that : T_ \leq T_, and every non-negative self-adjoint extension ''S'' of ''T'' is between ''T''min and ''T''max, i.e. : T_ \leq S \leq T_.


See also

* Energetic extension * Extensions of symmetric operators


Notes

{{Reflist


References

* N. I. Akhiezer and I. M. Glazman, ''Theory of Linear Operators in Hilbert Space'', Pitman, 1981. Operator theory Linear operators