0% found this document useful (0 votes)
25 views8 pages

06b Examples Spectra

The document discusses spectra of operators on Hilbert spaces. It provides general properties of spectra including that the spectrum of a continuous operator is non-empty, compact, and bounded by the operator norm. It gives examples of positive operators including multiplication operators that have specified eigenvalues.

Uploaded by

Willy the Will
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as PDF, TXT or read online on Scribd
0% found this document useful (0 votes)
25 views8 pages

06b Examples Spectra

The document discusses spectra of operators on Hilbert spaces. It provides general properties of spectra including that the spectrum of a continuous operator is non-empty, compact, and bounded by the operator norm. It gives examples of positive operators including multiplication operators that have specified eigenvalues.

Uploaded by

Willy the Will
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as PDF, TXT or read online on Scribd
You are on page 1/ 8

(November 1, 2020)

Examples of operators and spectra


Paul Garrett garrett@math.umn.edu http://www.math.umn.edu/egarrett/
[This document is http://www.math.umn.edu/˜garrett/m/fun/notes 2012-13/06b examples spectra.pdf]
1. Generalities on spectra
2. Positive examples
3. Simplest Rellich compactness lemma
4. Cautionary examples: non-normal operators
The usefulness of the notion of spectrum of an operator on a Hilbert space is the analogy to eigenvalues of
operators on finite-dimensional spaces. Naturally, things become more complicated in infinite-dimensional
vector spaces.

1. Generalities on spectra
It is convenient to know that spectra of continuous operators are non-empty, compact subsets of C.
Knowing this, every non-empty compact subset of C is easily made to appear as the spectrum of a continuous
operator, even normal ones, as below.

[1.0.1] Proposition: The spectrum σ(T ) of a continuous linear operator T : V → V on a Hilbert space V
is bounded by the operator norm |T |op .

Proof: For |λ| > |T |op , an obvious heuristic suggests an expression for the resolvent Rλ = (T − λ)−1 :
T −1  T T 2 
(T − λ)−1 = −λ−1 · 1 − = −λ−1 · 1 + + + ...
λ λ λ
The infinite series converges in operator norm for |T /λ|op < 1, that is, for |λ| > |T |op . Then
 T T 2 
(T − λ) · (−λ−1 ) · 1 + + + ... = 1
λ λ
giving a continuous inverse (T − λ)−1 , so λ 6∈ σ(T ). ///

[1.0.2] Remark: The same argument applied to T n shows that σ(T n ) is inside the closed ball of radius
|T n |op . By the elementary identity

T n − λn = (T − λ) · (T n−1 + T n−2 λ + . . . + T λn−2 + λn−1 )


1/n
(T − λ)−1 exists for |λn | > |T n |op , that is, for |λ| > |T n |op . That is, σ(T ) is inside the closed ball of radius
1/n
inf n≥1 |T n |op . The latter expression is the spectral radius of T . This notion is relevant to non-normal
operators, such as the Volterra operator, whose spectral radius is 0, while its operator norm is much larger.

[1.0.3] Proposition: The spectrum σ(T ) of a continuous linear operator T : V → V on a Hilbert space V
is compact.

Proof: That λ 6∈ σ(T ) is that there is a continuous linear operator (T −λ)−1 . We claim that for µ sufficiently
close to λ, (T − µ)−1 exists. Indeed, a heuristic suggests an expression for (T − µ)−1 in terms of (T − λ)−1 .
The algebra is helpfully simplified by replacing T by T + λ, so that λ = 0. With µ near 0 and granting
existence of T −1 , the heuristic is
 
(T − µ)−1 = (1 − µT −1 )−1 · T −1 = 1 + µT −1 + (µT −1 )2 + . . . · T −1

1
Paul Garrett: Examples of operators and spectra (November 1, 2020)

The geometric series converges in operator norm for |µT −1 |op < 1, that is, for |µ| < |T −1 |−1
op . Having found
the obvious candidate for an inverse,
 
(1 − µT −1 ) · 1 + µT −1 + (µT −1 )2 + . . . = 1

and  
(T − µ) · 1 + µT −1 + (µT −1 )2 + . . . · T −1 = 1

so there is a continuous linear operator (T − µ)−1 , and µ 6∈ σ(T ). Having already proven that σ(T ) is
bounded, it is compact. ///

[1.0.4] Proposition: The spectrum σ(T ) of a continuous linear operator on a Hilbert space V 6= {0} is
non-empty.

Proof: The argument reduces the issue to Liouville’s theorem from complex analysis, that a bounded entire
(holomorphic) function is constant. Further, an entire function that goes to 0 at ∞ is identically 0.

Suppose the resolvent Rλ = (T − λ)−1 is a continuous linear operator for all λ ∈ C. The operator norm is
readily estimated for large λ:

T T 2
|Rλ |op = |λ|−1 · 1 + + + ...
λ λ op

 T T 2
 1 1
≤ |λ|−1 · 1 + + + ... = ·
λ op λ op |λ| |T |op
1−
|λ|
This goes to 0 as |λ| → ∞. Hilbert’s identity asserts the complex differentiability as operator-valued function:

Rλ − Rµ (T − µ) − (T − λ)
= Rλ · · Rµ = Rλ · Rµ −→ Rλ2 (as µ → λ)
λ−µ λ−µ

since µ → Rµ is continuous for large µ, by the same identity:

|Rλ − Rµ |op ≤ |λ − µ| · |Rµ · Rλ |op

Thus, the scalar-valued functions λ → hRλ v, wi for v, w ∈ V are complex-differentiable, and satisfy

1 1
|hRλ v, wi| ≤ |Rλ v| · |w| ≤ |Rλ |op · |v| · |w| ≤ · · |v| · |w|
|λ| |T |op
1−
|λ|

By Liouville, hRλ v, wi = 0 for all v, w ∈ V , which is impossible. Thus, the spectrum is not empty. ///

[1.0.5] Proposition: The entire spectrum, both point-spectrum and continuous-spectrum, of a self-adjoint
operator is a non-empty, compact subset of R. The entire spectrum of a unitary operator is a non-empty,
compact subset of the unit circle.

Proof: For self-adjoint T , we claim that the imaginary part of h(T − µ)v, vi is at least hv, vi times the
imaginary part of µ. Indeed, hT v, vi is real, since

hT v, vi = hv, T ∗ vi = hv, T vi = hT v, vi

so
h(T − µ)v, vi = hT v, vi − µ · hv, vi

2
Paul Garrett: Examples of operators and spectra (November 1, 2020)

and
|Im h(T − µ)v, vi| = |Im µ| · hv, vi
and by Cauchy-Schwarz-Bunyakowsky

|(T − µ)v| · |v| ≥ |h(T − µ)v, vi| ≥ |Im µ| · hv, vi = |Im µ| · |v|2

Dividing by |v|,
|(T − µ)v| ≥ |Im µ| · |v|
This inequality shows more than the injectivity of T − µ. Namely, the inequality gives a bound on the
operator norm of the inverse (T − µ)−1 defined on the image of T − µ. The image is dense since µ is not an
eigenvalue and there is no residual spectrum for normal operators T . Thus, the inverse extends by continuity
to a continuous linear map defined on the whole Hilbert space. Thus, T − µ has a continuous linear inverse,
and µ is not in the spectrum of T .
For T unitary, |T v| = |v| for all v implies T |op = 1. Thus, σ(T ) is contained in the unit disk, by the general
bound on spectra in terms of operator norms. From (T − λ)∗ = T ∗ − λ, the spectrum of T ∗ is obtained by
complex-conjugating the spectrum of T . Thus, for unitary T , the spectrum of T −1 = T ∗ is also contained
in the unit disk. At the same time, the natural

T − λ = −T · (T −1 − λ−1 ) · λ

gives
(T − λ)−1 = −λ−1 · (T −1 − λ−1 )−1 · T −1
so λ−1 ∈ σ(T −1 ) exactly when λ ∈ σ(T ). Thus, the spectra of both T and T ∗ = T −1 are inside the unit
circle. ///

2. Positive examples
This section gives non-pathological examples. Let `2 be the usual space of square-summable sequences
(a1 , a2 , . . .), with standard orthonormal basis

ej = (0, . . . , 0, 1, 0, . . .)
| {z }
1 at jth position

[2.1] Multiplication operators with specified eigenvalues Given a countable, bounded list of complex
numbers λj , the operator T : `2 → `2 by

T : (a1 , a2 , . . .) −→ (λ1 · a1 , λ2 · a2 , . . .)

has λj -eigenvector the standard basis element ej . Clearly

T ∗ : (a1 , a2 , a3 , . . .) −→ (λ1 · a1 , λ2 · a2 , λ3 · a3 , . . .)

so T is normal, in the sense that T T ∗ = T ∗ T . To see that there are no other eigenvalues, suppose T v = µ · v
with µ not among the λj . Then

µ · hv, ej i = hT v, ej i = hv, T ∗ ej i = hv, λj ej i = λj · hv, ej i

Thus, (µ − λj ) · hv, ej i = 0, and hv, ej i = 0 for all j. Since ej form an orthonormal basis, v = 0. ///

3
Paul Garrett: Examples of operators and spectra (November 1, 2020)

[2.2] Every compact subset of C is the spectrum of an operator Grant for the moment a countable
dense subset {λj } of a non-empty compact subset [1] C of C, and as above let

T : (a1 , a2 , a3 , . . .) −→ (λ1 · a1 , λ2 · a2 , λ3 · a3 , . . .)

We saw that there are no further eigenvalues. Since spectra are closed, the closure C of {λj } is contained in
σ(T ).
It remains to show that the continuous spectrum is no larger than the closure C of the eigenvalues, in this
example. That is, for µ 6∈ C, exhibit a continuous linear (T − µ)−1 .
For µ 6∈ C, there is a uniform lower bound 0 < δ ≤ |µ − λj |. That is, supj |µ − λj |−1 ≤ δ −1 . Thus, the
naturally suggested map
 
(a1 , a2 , . . .) −→ (λ1 − µ)−1 · a1 , (λ2 − µ)−1 · a2 , . . .

is a bounded linear map, and gives (T − µ)−1 .

[2.3] Two-sided shift has no eigenvalues Let V be the Hilbert space of two-sided sequences
(. . . , a−1 , a0 , a1 , . . .) with natural inner product

h(. . . , a−1 , a0 , a1 , . . .), (. . . , b−1 , b0 , b1 , . . .)i = . . . + a−1 b−1 + a0 b0 + a1 b1 + . . .

The right and left two-sided shift operators are

(R · a)n = an−1 (L · a)n = an+1

These operators are mutual adjoints, mutual inverses, so are unitary. Being unitary, their operator norms
are 1, so their spectra are non-empty compact subsets of the unit circle.

They have no eigenvalues: indeed, for Rv = λ · v, if there is any index n with vn 6= 0, then the relation
Rv = λ · v gives vn+k+1 = λ · vn+k for k = 0, 1, 2, . . .. Since |λ| = 1, such a vector is not in `2 .
Nevertheless, we claim that λ ∈ σ(L) for every λ with |λ| = 1, and similarly for R. Indeed, for λ not in the
spectrum, there is a continuous linear operator (L − λ)−1 , so |(L − λ)v| ≥ δ · |v| for some δ > 0. It is easy
to make approximate eigenvectors for L for any |λ| = 1: let

v (`) = (. . . , 0, . . . , 0, 1, λ, λ2 , λ3 , . . . , λ` , 0, 0, . . .)

Obviously it doesn’t matter where the non-zero entries begin. From

(L − λ)v (`) = (. . . , 0, . . . , 0, 1, 0, . . . , 0, λ`+1 , 0, 0, . . .)


√ √
|(L − λ)v (`) | = 1 + 1, while |v (`) | = ` + 1. Thus, |(L − λ)v (`) |/|v (`) | −→ 0, and there can be no (L − λ)−1 .
Thus, every λ on the unit circle is in σ(R).

[2.4] Compact multiplication operators on `2 For a sequence of complex numbers λn → 0, we claim


that the multiplication operator

T : (a1 , a2 , . . .) −→ (λ1 · a1 , λ2 · a2 , . . .)

[1] To make a countable dense subset of C, for n = 1, 2, . . . cover C by finitely-many disks of radius 1/n, each meeting
C, and in each choose a point of C. The union over n = 1, 2, . . . of these finite sets is countable and dense in C.

4
Paul Garrett: Examples of operators and spectra (November 1, 2020)

is compact. We already showed that it has eigenvalues exactly λ1 , λ2 , . . ., and spectrum the closure of {λj }.
Thus, the spectrum includes 0, but 0 is an eigenvalue only when it appears among the λj , which may range
from 0 times to infinitely-many times.
To prove that the operator is compact, we prove that the image of the unit ball is pre-compact, by showing
that it is totally bounded. Given ε > 0, take k such that |λi | < ε for i > k. The ball in Ck of radius
max{|λj | : j ≤ k} is precompact, so has a finite cover by ε-balls, centered at points v 1 , . . . , v N . For
v = (v1 , v2 , . . .) with |v| ≤ 1,

T v = (λ1 v1 , λ2 v2 , . . . , λk vk , 0, 0, . . .) + (0, . . . , 0, λk+1 vk+1 , λk+2 vk+2 , . . .)

With v j the closest of the v 1 , . . . , v N to (λ1 v1 , λ2 v2 , . . . , λk vk , 0, 0, . . .),

|T v−v j | < ε+|(0, . . . , 0, λk+1 vk+1 , λk+2 vk+2 , . . .)| < ε + ε·|(0, . . . , 0, vk+1 , vk+2 , . . .)| ≤ ε+ε·|v| ≤ 2ε

Thus, the image of the unit ball under T is covered by finitely-many 2ε-balls. ///

[2.5] Multiplication operators on L2 [a, b] For ϕ ∈ C o [a, b], we claim that the multiplication operator
Mϕ : L2 [a, b] −→ L2 [a, b]

by
Mϕ f (x) = ϕ(x) · f (x)
is normal, and has spectrum the image ϕ[a, b] of ϕ. The eigenvalues are λ such that ϕ(x) = λ on a subset of
[a, b] of positive measure. The normality is clear, so, beyond eigenvalues, we need only examine continuous
spectrum, not residual.
On one hand, if ϕ(x) = λ on a set of positive measure, there is an infinite-dimensional sub-space of L2 [0, 1]
of functions supported there, and all these are eigenvectors. On the other hand, if f 6= 0 in L2 [0, 1] and
ϕ(x) · f (x) = λ · f (x), even if f is altered on a set of measure 0, it must be that ϕ(x) = λ on a set of positive
measure.
To understand the continuous spectrum, for ϕ(xo ) = λ make approximate eigenvectors by taking L2 functions
f supported on [xo − δ, xo + δ], where δ > 0 is small enough so that |ϕ(x) − ϕ(xo )| < ε for |x − xo | < δ. Then
Z
2
|(Mϕ − λ)f |L2 = |ϕ(x) − λ|2 · |f (x)|2 dx ≤ ε2 · |f |2L2

Thus, inf f 6=0 |(Mϕ − λ)f |L2 /|f |L2 = 0, so Mϕ − λ is not invertible. If λ is not an eigenvalue, it is in the
continuous spectrum. On the other hand, if ϕ(x) 6= λ, then there is some δ > 0 such that |ϕ(x) − λ| ≥ δ for
all x ∈ [0, 1], by the compactness of [0, 1]. Then
Z 1 Z 1
|(Mϕ − λ)f |2L2 = |ϕ(x) − λ|2 · |f (x)|2 dx ≥ δ 2 · |f (x)|2 dx = δ 2 · |f |2L2
0 0

Thus, there is a continuous inverse (Mϕ − λ), and λ is not in the spectrum.

3. Simplest Rellich compactness lemma


One characterization of the sth Levi-Sobolev space of functions H s (A) on a product A = (S 1 )×n of circles
S 1 = R/2πZ is as the closure of the function space of finite Fourier series with respect to the Levi-Sobolev
norm (squared)
X 2 X
cξ eiξ·x = |cξ |2 · (1 + |ξ|2 )s (s ∈ R, on finite Fourier series)
Hs
ξ∈Zn ξ∈Zn

5
Paul Garrett: Examples of operators and spectra (November 1, 2020)

The standard orthonormal basis for H s (A) is

1 eiξ·x
· (with ξ ∈ Zn )
(2π)n/2 (1 + |ξ|2 )s/2

By the Plancherel theorem, the map from L2 (Zn ) (with counting measure) to L2 (A) by

1 X eiξ·x
{cξ : ξ ∈ Zn } −→ n/2

(2π) n
(1 + |ξ|2 )s/2
ξ∈Z

is an isometric isomorphism.
For s > t, there is a continuous inclusion H s (A) → H t (A). In terms of these orthonormal bases, there is a
commutative diagram
L2 (A)
T / L2 (A)

≈ ≈
 
H s (A) / H t (A)
inc

given by

/ (1 + |ξ|2 ) t−s
n o
T
{cξ } 2 · cξ

≈ ≈
 
1 X eiξ·x / 1 X
2 t−s eiξ·x
cξ (1 + |ξ| ) 2 · c ξ
(2π)n/2 ξ (1 + |ξ|2 )s/2 inc (2π)n/2 ξ (1 + |ξ|2 )t/2

t−s
Since s > t, the number λξ = (1 + |ξ|2 ) 2 are bounded by 1, and have unique limit point 0. In particular,
T : L2 (A) → L2 (A) is compact.
Thus, we have the simplest instance of Rellich’s compactness lemma: the inclusion H s (A) → H t (A) is
compact for s > t.

4. Cautionary examples: non-normal operators

[4.1] Shift operators on one-sided `2 We claim the following: The right-shift

R : (a1 , a2 , . . .) −→ (0, a1 , a2 , . . .)

and the left-shift


L : (a1 , a2 , a3 , . . .) −→ (a2 , . . .)
are mutual adjoints. These operators are not normal, since L ◦ R = 1`2 but

R ◦ L : (a1 , a2 , . . .) −→ (0, a2 , . . .)

The eigenvalues of the left-shift L are all complex numbers in the open unit disk in C. In particular, there
is a continuum of eigenvalues and eigenvectors, so they cannot be mutually orthogonal. The spectrum σ(L)
is the closed unit disk.

6
Paul Garrett: Examples of operators and spectra (November 1, 2020)

The right-shift R has no eigenvalues, has continuous spectrum the unit circle, and residual spectrum the
open unit disk with 0 removed.
Indeed, suppose
(0, a1 , a2 , . . .) = R(a1 , a2 , . . .) = λ · (a1 , a2 , . . .)
With n the lowest index such that an 6= 0, the nth component in the eigenvector relation gives 0 = an−1 =
λ · an , so λ = 0. Then, the (n + 1)th component gives an = λ · an+1 = 0, contradiction. This proves that R
has no eigenvalues.
Oppositely, for |λ| < 1,
L(1, λ, λ2 , . . .) = (λ, λ2 , . . .) = λ · (1, λ, λ2 , . . .)
so every such λ is an eigenvector for L. On the other hand, for |λ| = 1, in an eigenvector relation

(a2 , . . .) = L(a1 , a2 , . . .) = λ · (a1 , a2 , . . .)

let n be the smallest index n with an 6= 0. Then an+1 = λ · an , an+2 = λ · an+1 , . . ., so

(a1 , a2 , . . .) = (0, . . . , 0, an , λan , λ2 an , . . .)

But this is not in `2 for |λ| = 1 and an 6= 0, so λ on the unit circle is not an eigenvalue.
For |λ| = 1, we can make approximate λ-eigenvectors for L by

v [N ] = (1, λ, λ2 , . . . , λN , 0, 0, . . .)

since

(L − λ) v [N ] = (λ, λ2 , . . . , λN , 0, 0, 0, . . .) − λ · (1, λ, λ2 , . . . , λN , 0, 0, . . .) = (0, 0, . . . , 0, 0, λN +1 , 0, 0, . . .)

Since
|(L − λ)v [N ] | |λ|N +1 1
[N ]
= 2 2N 1/2
= √ −→ 0
|v (1 + |λ| + . . . + |λ| ) N +1
there can be no continuous (L − λ)−1 . Thus, λ on the unit circle is in the spectrum, but not in the point
spectrum.
That the unit circle is in the spectrum also follows from the observation above that all λ with |λ| < 1 are
eigenvalues, and the fact that the spectrum is closed.
The spectrum of L is bounded by the operator norm |L|op , and |L|op is visibly 1, so is nothing else in the
spectrum.
To see that the unit circle is the continuous spectrum of L, as opposed to residual, we show that L − λ has
dense image for |λ| = 1. Indeed, for w such that, for all v ∈ `2 ,

0 = h(L − λ)v, wi = hv, (L∗ − λ)wi = hv, (R − λ)wi

we would have (R − λ)w = 0. However, we have seen that R has no eigenvalues. Thus, L − λ always has
dense image, and the unit circle is continuous spectrum for L.
Reversing that discussion, every λ with |λ| < 1 is in the residual spectrum of R, because such λ is not an
eigenvalue, and R − λ does not have dense image: for w a λ-eigenvector for L,

h(R − λ)v, wi = hv, (R∗ − λ)wi = hv, (L − λ)wi = hv, 0i = 0

That is, the image (R − λ)`2 is in the orthogonal complement to the eigenvector w. The same computation
shows that the unit circle is continuous spectrum for R, because it is not eigenvalues for L.

7
Paul Garrett: Examples of operators and spectra (November 1, 2020)
Rx
[4.2] Volterra operator We will show that the Volterra operator V f (x) = 0
f (t) dt on L2 [0, 1] is compact,
but not self-adjoint, that its spectrum is {0}, and that it has no eigenvalues.
A relation T f = λ · f for f ∈ L2 and λ 6= 0 implies f is continuous:
Z x+h
1
|λ| · |f (x + h) − f (x)| = |T f (x + h) − T f (x)| ≤ 1 · |f (t)| dt = ≤ |h| 2 · |f |L2
x

The fundamental theorem of calculus would imply f is continuously differentiable and λ · f 0 = (T f )0 = f .


Thus, f would be a constant multiple of ex/λ , by the mean value theorem. However, by Cauchy-Schwarz-
Bunyakowsky, for a λ-eigenfunction
1
|λ| · |f (x)| ≤ |x| 2 · |f |L2
No non-zero multiple of the exponential satisfies this. Thus, there are no eigenvectors for non-zero
eigenvalues.

For f ∈ L2 [0, 1] and T f = 0 ∈ L2 [0, 1], T f is almost everywhere 0. Since x → T g(x) is unavoidably
continuous, T f (x) is 0 for all x. Thus, for all x, y in the interval,
Z y
0 = 0 − 0 = T f (y) − T f (x) = f (t) dt
x

That is, x → T f (x) is orthogonal in L2 [0, 1] to all characteristic functions of intervals. Finite linear
combinations of these are dense in C o [0, 1] in the L2 topology, and C o [0, 1] is dense in L2 [0, 1]. Thus
f = 0, and there are no eigenvectors for the Volterra operator.
To see that T is compact, rewrite it as being given by an integral kernel K(x, y):
Z x Z 1 
0 (for 0 ≤ y < x)
T f (x) = f (y) dy = K(x, y) f (y) dy (with K(x, y) = )
0 0 1 (for x < y ≤ 1)

Thus, T is Hilbert-Schmidt, and compact. The adjoint T ∗ is given by the integral kernel K ∗ (x, y) = K(y, x),
visibly different from K(x, y), so T is not self-adjoint.
To see that the spectrum is at most {0}, show that the spectral radius is 0:
Z x Z xn−1 Z x2 Z x1 Z x Z xZ xn−1 Z x2 
T n f (x) = ... f (t) dt dx1 . . . dxn−1 = f (t) ... dx1 . . . dxn−1 dt
0 0 0 0 0 t t t

x
(x − t)n−1
Z
= f (t) · dt
0 (n − 1)!
n 1
From this, |T |op ≤ n! , and
 1 1/2n 1 1 X
log lim = − lim · log(2n)! = − lim log k
2n (2n)! 2n 2n 2n 2n
1≤k≤2n

1 X 1 X
= − lim (log k + log(2n − k + 1)) ≤ − lim (log k + log(2n − k + 1))
2n 2n 2n 2n n
1≤k≤n 1≤k≤ k

1 X log 2n
≤ − lim log 2n = − lim = −∞
2n 2n n
2n 2
1≤k≤ k

1/n
since k(2n − k) ≥ 2n for 1 ≤ k ≤ n, noting the sign. That is, limn |T n |op = 0, so the spectral radius is 0.
Since the spectrum is non-empty, it must be exactly {0}.

You might also like