Normal eigenvalue explained

In mathematics, specifically in spectral theory, an eigenvalue of a closed linear operator is called normal if the space admits a decomposition into a direct sum of a finite-dimensional generalized eigenspace and an invariant subspace where

AI

has a bounded inverse.The set of normal eigenvalues coincides with the discrete spectrum.

Root lineal

Let

ak{B}

be a Banach space. The root lineal

ak{L}λ(A)

of a linear operator

A:ak{B}\toak{B}

with domain

ak{D}(A)

corresponding to the eigenvalue

λ\in\sigmap(A)

is defined as

ak{L}λ(A)=cupk\in\N\{x\inak{D}(A):(A-λIak{B

})^j x\in\mathfrak(A)\,\forall j\in\N,\,j\le k;\, (A-\lambda I_)^k x=0\}\subset\mathfrak,

where

Iak{B

} is the identity operator in

ak{B}

.This set is a linear manifold but not necessarily a vector space, since it is not necessarily closed in

ak{B}

. If this set is closed (for example, when it is finite-dimensional), it is called the generalized eigenspace of

A

corresponding to the eigenvalue

λ

.

Definition of a normal eigenvalue

λ\in\sigmap(A)

of a closed linear operator

A:ak{B}\toak{B}

in the Banach space

ak{B}

with domain

ak{D}(A)\subsetak{B}

is called normal (in the original terminology,

λ

corresponds to a normally splitting finite-dimensional root subspace
), if the following two conditions are satisfied:
  1. The algebraic multiplicity of

λ

is finite:

\nu=\dimak{L}λ(A)<infty

, where

ak{L}λ(A)

is the root lineal of

A

corresponding to the eigenvalue

λ

;
  1. The space

ak{B}

could be decomposed into a direct sum

ak{B}=ak{L}λ(A)ak{N}λ

, where

ak{N}λ

is an invariant subspace of

A

in which

AIak{B

} has a bounded inverse.

That is, the restriction

A2

of

A

onto

ak{N}λ

is an operator with domain

ak{D}(A2)=ak{N}λ\capak{D}(A)

and with the range

ak{R}(A2-λI)\subsetak{N}λ

which has a bounded inverse.[1] [2] [3]

Equivalent characterizations of normal eigenvalues

Let

A:ak{B}\toak{B}

be a closed linear densely defined operator in the Banach space

ak{B}

. The following statements are equivalent[4] (Theorem III.88):

λ\in\sigma(A)

is a normal eigenvalue;

λ\in\sigma(A)

is an isolated point in

\sigma(A)

and

AIak{B

} is semi-Fredholm;

λ\in\sigma(A)

is an isolated point in

\sigma(A)

and

AIak{B

} is Fredholm;

λ\in\sigma(A)

is an isolated point in

\sigma(A)

and

AIak{B

} is Fredholm of index zero;

λ\in\sigma(A)

is an isolated point in

\sigma(A)

and the rank of the corresponding Riesz projector

Pλ

is finite;

λ\in\sigma(A)

is an isolated point in

\sigma(A)

, its algebraic multiplicity

\nu=\dimak{L}λ(A)

is finite, and the range of

AIak{B

} is closed.

If

λ

is a normal eigenvalue, then the root lineal

ak{L}λ(A)

coincides with the range of the Riesz projector,

ak{R}(Pλ)

.

Relation to the discrete spectrum

The above equivalence shows that the set of normal eigenvalues coincides with the discrete spectrum, defined as the set of isolated points of the spectrum with finite rank of the corresponding Riesz projector.[5]

Decomposition of the spectrum of nonselfadjoint operators

The spectrum of a closed operator

A:ak{B}\toak{B}

in the Banach space

ak{B}

can be decomposed into the union of two disjoint sets, the set of normal eigenvalues and the fifth type of the essential spectrum:

\sigma(A)=\{normaleigenvaluesofA\}\cup\sigmaess,5(A).

See also

Notes and References

  1. Gohberg, I. C. Kreĭn, M. G.. Основные положения о дефектных числах, корневых числах и индексах линейных операторов. Fundamental aspects of defect numbers, root numbers and indexes of linear operators. Uspekhi Mat. Nauk . New Series. 12. 2(74). 1957. 43–118. Amer. Math. Soc. Transl. (2).
  2. Gohberg, I. C. Kreĭn, M. G.. Fundamental aspects of defect numbers, root numbers and indexes of linear operators. American Mathematical Society Translations. 13. 1960. 185–264. 10.1090/trans2/013/08.
  3. Book: Gohberg, I. C. Kreĭn, M. G.. Introduction to the theory of linear nonselfadjoint operators. 1969. American Mathematical Society, Providence, R.I..
  4. Book: Boussaid, N.. Comech, A.. Nonlinear Dirac equation. Spectral stability of solitary waves. 2019. American Mathematical Society, Providence, R.I.. 978-1-4704-4395-5.
  5. Book: Reed, M.. Simon, B.. Methods of modern mathematical physics, vol. IV. Analysis of operators. 1978. Academic Press [Harcourt Brace Jovanovich Publishers], New York.