Английская Википедия:Dissipative operator

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In mathematics, a dissipative operator is a linear operator A defined on a linear subspace D(A) of Banach space X, taking values in X such that for all λ > 0 and all xD(A)

<math>\|(\lambda I-A)x\|\geq\lambda\|x\|.</math>

A couple of equivalent definitions are given below. A dissipative operator is called maximally dissipative if it is dissipative and for all λ > 0 the operator λIA is surjective, meaning that the range when applied to the domain D is the whole of the space X.

An operator that obeys a similar condition but with a plus sign instead of a minus sign (that is, the negation of a dissipative operator) is called an accretive operator.[1]

The main importance of dissipative operators is their appearance in the Lumer–Phillips theorem which characterizes maximally dissipative operators as the generators of contraction semigroups.

Properties

A dissipative operator has the following properties:[2]

  • From the inequality given above, we see that for any x in the domain of A, if ‖x‖ ≠ 0 then <math>\|(\lambda I-A)x\|\ne 0,</math> so the kernel of λIA is just the zero vector and λIA is therefore injective and has an inverse for all λ > 0. (If we have the strict inequality <math>\|(\lambda I-A)x\|>\lambda\|x\|</math> for all non-null x in the domain, then, by the triangle inequality, <math>\|\lambda x\|+\|Ax\|\ge\|(\lambda I-A)x\|>\lambda\|x\|,</math> which implies that A itself has an inverse.) We may then state that
<math>\|(\lambda I-A)^{-1}z\|\leq\frac{1}{\lambda}\|z\|</math>
for all z in the range of λIA. This is the same inequality as that given at the beginning of this article, with <math>z=(\lambda I-A)x.</math> (We could equally well write these as <math>\|(I-\kappa A)^{-1}z\|\leq\|z\|\text{ or }\|(I-\kappa A)x\|\geq\|x\|</math> which must hold for any positive κ.)
  • λIA is surjective for some λ > 0 if and only if it is surjective for all λ > 0. (This is the aforementioned maximally dissipative case.) In that case one has (0, ∞) ⊂ ρ(A) (the resolvent set of A).
  • A is a closed operator if and only if the range of λI - A is closed for some (equivalently: for all) λ > 0.

Equivalent characterizations

Define the duality set of xX, a subset of the dual space X' of X, by

<math>J(x):=\left\{x'\in X':\|x'\|_{X'}^2=\|x\|_{X}^2=\langle x',x\rangle \right\}.</math>

By the Hahn–Banach theorem this set is nonempty.[3] In the Hilbert space case (using the canonical duality between a Hilbert space and its dual) it consists of the single element x.[4] More generally, if X is a Banach space with a strictly convex dual, then J(x) consists of a single element.[5] Using this notation, A is dissipative if and only if[6] for all xD(A) there exists a x' ∈ J(x) such that

<math>{\rm Re}\langle Ax,x'\rangle\leq0.</math>

In the case of Hilbert spaces, this becomes <math>{\rm Re}\langle Ax,x\rangle\leq0</math> for all x in D(A). Since this is non-positive, we have

<math>\|x-Ax\|^2=\|x\|^2+\|Ax\|^2-2{\rm Re}\langle Ax,x\rangle\geq\|x\|^2+\|Ax\|^2+2{\rm Re}\langle Ax,x\rangle=\|x+Ax\|^2</math>
<math>\therefore\|x-Ax\|\geq\|x+Ax\|</math>

Since I−A has an inverse, this implies that <math>(I+A)(I-A)^{-1}</math> is a contraction, and more generally, <math>(\lambda I+A)(\lambda I-A)^{-1}</math> is a contraction for any positive λ. The utility of this formulation is that if this operator is a contraction for some positive λ then A is dissipative. It is not necessary to show that it is a contraction for all positive λ (though this is true), in contrast to (λI−A)−1 which must be proved to be a contraction for all positive values of λ.

Examples

<math>x \cdot A x = x \cdot (-x) = - \| x \|^{2} \leq 0,</math>
so A is a dissipative operator.
  • So long as the domain of an operator A (a matrix) is the whole Euclidean space, then it is dissipative if and only if A+A* (the sum of A and its adjoint) does not have any positive eigenvalue, and (consequently) all such operators are maximally dissipative. This criterion follows from the fact that the real part of <math>x^{*}Ax,</math> which must be nonpositive for any x, is <math>x^{*}\frac{A+A^{*}}2x.</math> The eigenvalues of this quadratic form must therefore be nonpositive. (The fact that the real part of <math>x^{*}Ax,</math> must be nonpositive implies that the real parts of the eigenvalues of A must be nonpositive, but this is not sufficient. For example, if <math>A=\begin{pmatrix}-1 & 3 \\0 & -1\end{pmatrix}</math> then its eigenvalues are negative, but the eigenvalues of A+A* are −5 and 1, so A is not dissipative.) An equivalent condition is that for some (and hence any) positive <math>\lambda, \lambda-A</math> has an inverse and the operator <math>(\lambda+A)(\lambda-A)^{-1}</math> is a contraction (that is, it either diminishes or leaves unchanged the norm of its operand). If the time derivative of a point x in the space is given by Ax, then the time evolution is governed by a contraction semigroup that constantly decreases the norm (or at least doesn't allow it to increase). (Note however that if the domain of A is a proper subspace, then A cannot be maximally dissipative because the range will not have a high enough dimensionality.)
  • Consider H = L2([0, 1]; R) with its usual inner product, and let Au = u′ (in this case a weak derivative) with domain D(A) equal to those functions u in the Sobolev space <math>H^1([0,\;1];\;\mathbf{R})</math> with u(1) = 0. D(A) is dense in L2([0, 1]; R). Moreover, for every u in D(A), using integration by parts,
<math>\langle u, A u \rangle = \int_{0}^{1} u(x) u'(x) \, \mathrm{d} x = - \frac1{2} u(0)^{2} \leq 0.</math>
Hence, A is a dissipative operator. Furthermore, since there is a solution (almost everywhere) in D to <math>u-\lambda u'=f</math> for any f in H, the operator A is maximally dissipative. Note that in a case of infinite dimensionality like this, the range can be the whole Banach space even though the domain is only a proper subspace thereof.
<math>\langle u, \Delta u \rangle = \int_\Omega u(x) \Delta u(x) \, \mathrm{d} x = - \int_\Omega \big| \nabla u(x) \big|^{2} \, \mathrm{d} x = - \| \nabla u \|^2_{L^{2} (\Omega; \mathbf{R})} \leq 0,</math>
so the Laplacian is a dissipative operator.

Notes

Шаблон:Reflist

References

  1. Шаблон:Cite encyclopedia
  2. Engel and Nagel Proposition II.3.14
  3. The theorem implies that for a given x there exists a continuous linear functional φ with the property that φ(x)=‖x‖, with the norm of φ equal to 1. We identify ‖x‖φ with x'.
  4. Engel and Nagel Exercise II.3.25i
  5. Engel and Nagel Example II.3.26
  6. Engel and Nagel Proposition II.3.23