Essential spectrum

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In mathematics, the essential spectrum of a bounded operator (or, more generally, of a densely defined closed linear operator) is a certain subset of its spectrum, defined by a condition of the type that says, roughly speaking, "fails badly to be invertible".

The essential spectrum of self-adjoint operators

In formal terms, let X be a Hilbert space and let T be a self-adjoint operator on X.

Definition

The essential spectrum of T, usually denoted σess(T), is the set of all real numbers λ such that

TλIX

is not a Fredholm operator, where IX denotes the identity operator on X, so that IX(x)=x, for all xX. (An operator is Fredholm if its kernel and cokernel are finite-dimensional.)

The definition of essential spectrum σess(T) will remain unchanged if we allow it to consist of all those complex numbers λ (instead of just real numbers) such that the above condition holds. This is due to the fact that the spectrum of self-adjoint consists only of real numbers.

Properties

The essential spectrum is always closed, and it is a subset of the spectrum σ(T). As mentioned above, since T is self-adjoint, the spectrum is contained on the real axis.

The essential spectrum is invariant under compact perturbations. That is, if K is a compact self-adjoint operator on X, then the essential spectra of T and that of T+K coincide, i.e. σess(T)=σess(T+K). This explains why it is called the essential spectrum: Weyl (1910) originally defined the essential spectrum of a certain differential operator to be the spectrum independent of boundary conditions.

Weyl's criterion is as follows. First, a number λ is in the spectrum σ(T) of the operator T if and only if there exists a sequence {ψk}kX in the Hilbert space X such that ψk=1 and

limk(Tλ)ψk=0.

Furthermore, λ is in the essential spectrum if there is a sequence satisfying this condition, but such that it contains no convergent subsequence (this is the case if, for example {ψk}k is an orthonormal sequence); such a sequence is called a singular sequence. Equivalently, λ is in the essential spectrum σess(T) if there exists a sequence satisfying the above condition, which also converges weakly to the zero vector 𝟎X in X.

The discrete spectrum

The essential spectrum σess(T) is a subset of the spectrum σ(T) and its complement is called the discrete spectrum, so

σdisc(T)=σ(T)σess(T).

If T is self-adjoint, then, by definition, a number λ is in the discrete spectrum σdisc of T if it is an isolated eigenvalue of finite multiplicity, meaning that the dimension of the space

 span{ψX:Tψ=λψ}

has finite but non-zero dimension and that there is an ε>0 such that μσ(T) and |μλ|<ε imply that μ and λ are equal. (For general, non-self-adjoint operators S on Banach spaces, by definition, a complex number λ is in the discrete spectrum σdisc(S) if it is a normal eigenvalue; or, equivalently, if it is an isolated point of the spectrum and the rank of the corresponding Riesz projector is finite.)

The essential spectrum of closed operators in Banach spaces

Let X be a Banach space and let T:D(T)X be a closed linear operator on X with dense domain D(T). There are several definitions of the essential spectrum, which are not equivalent.[1]

  1. The essential spectrum σess,1(T) is the set of all λ such that TλIX is not semi-Fredholm (an operator is semi-Fredholm if its range is closed and its kernel or its cokernel is finite-dimensional).
  2. The essential spectrum σess,2(T) is the set of all λ such that the range of TλIX is not closed or the kernel of TλIX is infinite-dimensional.
  3. The essential spectrum σess,3(T) is the set of all λ such that TλIX is not Fredholm (an operator is Fredholm if its range is closed and both its kernel and its cokernel are finite-dimensional).
  4. The essential spectrum σess,4(T) is the set of all λ such that TλIX is not Fredholm with index zero (the index of a Fredholm operator is the difference between the dimension of the kernel and the dimension of the cokernel).
  5. The essential spectrum σess,5(T) is the union of σess,1(T) with all components of σess,1(T) that do not intersect with the resolvent set σ(T).

Each of the above-defined essential spectra σess,k(T), 1k5, is closed. Furthermore,

σess,1(T)σess,2(T)σess,3(T)σess,4(T)σess,5(T)σ(T),

and any of these inclusions may be strict. For self-adjoint operators, all the above definitions of the essential spectrum coincide.

Define the radius of the essential spectrum by

ress,k(T)=max{|λ|:λσess,k(T)}.

Even though the spectra may be different, the radius is the same for all k=1,2,3,4,5.

The definition of the set σess,2(T) is equivalent to Weyl's criterion: σess,2(T) is the set of all λ for which there exists a singular sequence.

The essential spectrum σess,k(T) is invariant under compact perturbations for k=1,2,3,4, but not for k=5. The set σess,4(T) gives the part of the spectrum that is independent of compact perturbations, that is,

σess,4(T)=KB0(X)σ(T+K),

where B0(X) denotes the set of compact operators on X (D.E. Edmunds and W.D. Evans, 1987).

The spectrum of a closed, densely defined operator T can be decomposed into a disjoint union

σ(T)=σess,5(T)σdisc(T),

where σdisc(T) is the discrete spectrum of T.

See also

References

Template:Reflist The self-adjoint case is discussed in

A discussion of the spectrum for general operators can be found in

  • D.E. Edmunds and W.D. Evans (1987), Spectral theory and differential operators, Oxford University Press. Template:ISBN.

The original definition of the essential spectrum goes back to

  • H. Weyl (1910), Über gewöhnliche Differentialgleichungen mit Singularitäten und die zugehörigen Entwicklungen willkürlicher Funktionen, Mathematische Annalen 68, 220–269.

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