Between the von Neumann inequality and the Crouzeix conjecture
Patryk Pagacz, Pawe{\l} Pietrzycki, Micha{\l} Wojtylak

TL;DR
This paper introduces a family of deformed numerical ranges $W^\rho(T)$ for operators, exploring their properties, including convexity, spectral containment, and dilation relations, extending classical numerical range concepts.
Contribution
It defines and analyzes the new deformed numerical range $W^\rho(T)$, connecting it to spectral properties and dilation theory, and generalizing existing concepts like the numerical range.
Findings
$W^\rho(T)$ is convex and contains the spectrum of $T$.
$W^\rho(T)$ is decreasing in $\rho$ and coincides with the numerical range at $\rho=2$.
$W^\rho(T)$ is contained in the unit disc iff $T$ has a $\rho$-unitary dilation.
Abstract
A new concept of a deformed numerical range is introduced. Here is a bounded linear operator or a matrix and is a parameter. Each is a closed convex set that contains the spectrum of . Furthermore, is decreasing with respect to and coincides with the numerical range. It is also shown that is contained in the closed unit disc if and only if has a unitary dilation in the sense of N\'agy-Foia\c s. The spectral constants of are investigated, it is shown that it is monotone and continuous with respect to the parameter .
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Between the von Neumann inequality and the Crouzeix conjecture.
Patryk Pagacz, Paweł Pietrzycki, and Michał Wojtylak
Faculty of Mathematics and Computer Science, Jagiellonian University, Łojasiewicza 6, 30-348 Krakow, Poland
{patryk.pagacz, pawel.pietrzycki, michal.wojtylak}@im.uj.edu.pl
Abstract.
A new concept of a deformed numerical range is introduced. Here is a bounded linear operator or a matrix and is a parameter. Each is a closed convex set that contains the spectrum of . Furthermore, is decreasing with respect to and coincides with the numerical range. It is also shown that is contained in the closed unit disc if and only if has a unitary dilation in the sense of Nágy-Foiaş. The spectral constants of is investigated, it is shown that it is monotone and continuous with respect to the parameter .
Key words and phrases:
von Neumann inequality, Crouzeix conjecture, deformed numerical range, class of power bounded operators
2010 Mathematics Subject Classification:
Primary 47A12, 47A25, 47A63; Secondary 47A10, 47A20, 47A56
MW gratefully acknowledges the support of the Humboldt Foundation with a short research stay grant
1. Introduction
The celebrated von Neumann inequality states that if is a bounded operator on a complex Hilbert space and is a polynomial then
[TABLE]
where stands for the open unit disc. The second seminal result of interest is the following one
[TABLE]
where by we denote the numerical range of , i.e.,
[TABLE]
The constant on the right hand side was initially prove to exist in [10]. Crouzeix in [6] established that and conjectured that for any bounded operator . The conjecture is true for matrices (see [5]) and a simple matrix example show that the constant is the best possible. Up to now the proof of Crouzeix conjecture is know only for some special cases (see [4, 13]). The current best estimate was obtained by Crouzeix and Palencia in [8], see also Ransford and Schwenninger [24].
Usually one expresses the inequality (1) by saying that the disc of radius is a -spectral set, analogously the numerical range is a -spectral set (cf. (2)). The goal of the present paper is to construct intermediate spectral sets. For this aim we define the deformed numerical range as the closed convex hull of
[TABLE]
where
[TABLE]
The definition for is more technical, see Section 2 for details. Note that equals (the closure of) the numerical range. Our main results concerning these sets are the following. In Theorem 2 we show that the spectrum of is contained in , in Theorem 15 we show that is monotone and continuous in the Hausdorff metric with respect to . Furthermore, we show that there exists a constant such that
[TABLE]
and that is continuous with respect to , see Theorem 22.
Another direction of research is to analyse spectral constants connected with simple regions containing the numerical range. E.g, it is known since [23] that for any polynomial
[TABLE]
where stands for the numerical radius of , i.e. In fact, the above inequality holds with any disc containing in place of . In our paper we show that
[TABLE]
where stands for the deformed spectral radius of , i.e. (cf. [1]). This constitutes a continuous passage between (1) and (4). Our work in this direction was motivated other recent methods for obtaining spectral constants for discs by Caldwell, Greenbaum and Lie [2] and for annuli by Crouzeix and Greenbaum [7].
Most of the results we obtained are true both for complex matrices and for bounded operators on Hilbert spaces, however, some of them concern only one of these classes. This influences the organisation of the paper. And so, in Section 2 we define the deformed numerical range and show its basic properties for matrices and operators. The main outcome, the inclusion , is showed in the matrix case only. Then, in Section 3 we give examples of for matrices. The next part, Section 4, is devoted to quasinilpotent operators in a Hilbert space. Analysis of this class is necessary to complete the proof of in the operator case. Subsequently, in Section 5 we return to the general setting and show the connection of with the Nágy-Foiaş dilation theory. In Section 6 we show the announced monotonicity and continuity of with respect to . This is applied in Section 7 to analyse the spectral constants . In the last Section we present the relation of to the known concepts from dilation theory: Mathias-Okubo formula for -numerical range, the -numerical range, normalised numerical range and Davies-Wielandt shell.
The following notation will be used. The fields of real and complex numbers are denoted by and , respectively. All Hilbert spaces considered in this paper are assumed to be complex, and stands for the inner product and the corresponding norm, respectively. In the finite dimensional case we assume that and stands for the usual inner product. We denote by the spectrum of and by and we mean the point spectrum (eigenvalues) and approximative spectrum of , respectively. Furthermore, as the letters and are already reserved, we denote the spectral radius of by . By , and we mean the closure, the interior and the boundary of . We will use without further notice the fact that one may interchange the order of taking the convex hull and the closure, i.e. , for any bounded subset of the complex plain. As it was already used, is an open disc centred at origin with radius .
2. Deformed numerical range: definition and basic properties
Let us begin with defining the main objects. For and with we set
[TABLE]
Here and in the sequel the auxiliary variable was introduced for better clarity of the formulas. Note that the mapping is a increasing bijection and is mapped to . Later on we see that corresponds to the numerical range. We denote the domain of the function as
[TABLE]
and we set
[TABLE]
Note that if and then precisely for . Such vectors will require separate treatment in the course of the paper, especially in Theorems 2 and 9. Observe also that the definition of in (3) the Introduction coincides with (8) above, we will use the latter one for further reasoning. We now list the basic properties of the functions and .
Proposition 1**.**
For any bounded operator on a Hilbert space the following holds.
- (i)
If then and , for . 2. (ii)
If and with , then if and only if is an eigenvector of . 3. (iii)
* for .* 4. (iv)
, for with , . 5. (v)
If for a unit and some then and for . 6. (vi)
*If for all and then for for some . *
Proof.
For a fixed unit we treat and as functions of the parameter , see (6) above. The first part of statement (i) follows from the fact that for a fixed with we have
[TABLE]
Now let and let . An elementary calculation shows that
[TABLE]
and the equality holds if and only if . This shows the second part of (i) and (ii).
Statements (iii) and (iv) are obvious.
To see (v) note that , for . As , we have clearly for . For (v) follows from directly (7) and (8).
Let us now show (vi). Take as in the statement, then and by elementary expression
[TABLE]
we have for for some , which is exactly the claim. ∎
Further for we define the deformed numerical range of a nonzero operator as
[TABLE]
and the deformed numerical radius as
[TABLE]
Observe that, almost trivially,
[TABLE]
where stands for the numerical range of . Theorem 2 shows the main properties of the deformed numerical range.
Theorem 2**.**
For a bounded operator on a Hilbert space and the following holds.
- (i)
If then ; 2. (ii)
* for any unitary operator on ;* 3. (iii)
* for any ;* 4. (iv)
*if is a subspace of invariant for , then ; * 5. (v)
; 6. (vi)
.
Statements (i), (ii), (iii), and (iv) are elementary, (v) follows directly from statements (i) and (iv) of Proposition 1. Also it follows directly from Proposition 1(v) that the eigenvalues are contained in for any , hence (vi) is showed if is a matrix. The proof in the operator case will be completed in Section 4 and requires some additional preparation concerning quasinilpotent operators. Now let us study the simplest examples and instances.
Remark 3**.**
In addition to Theorem 2(iii) note that, except the case , is in general not equal to . This can be seen in various ways, we present here a general reason in case when is a matrix and . Note that for a matrix the deformed numerical range is contained in the closed right half-plane if and only if has this property, hence for a fixed the set is contained in the closed right half-plane if and only if . Furthermore, is compact and convex. Hence, if for any matrix and any , then, by [15, Theorem 1.4.2], , which clearly is a contradiction with the definition of , see e.g. Theorem 15 below.
Remark 4**.**
Let be a nonzero complex square matrix. Then
[TABLE]
for all from and for all from except a finite set.
First note that the set on the right hand side of (13) is closed, by compactness of the unit sphere. The inclusion ’’ in (13) is in this light obvious. The converse inclusion for follows from Proposition 1(iii). The hard work is to show the inclusion ‘’ for . For this aim consider the function
[TABLE]
Assume that is not a weak local maximal value of and let and be related as usual, . Take an arbitrary unit vector for which . If then and, by definition, . Assume now that , note that one has . Due to our assumption, for every there exists a vector with and . Setting we have , i.e., . Due to we get that with . Hence, and the inclusion ‘’ in (13) is shown for this .
Seeing is a real rational function in real parameters (real and imaginary coordinates of ) we observe that has only a finite number of weak local maximal values, which finishes the proof of the first statement.
3. Examples
In this section we will deal with matrices.
Example 5**.**
Figure 1 shows the set for , recall that the closure of the convex hull of this set is, by definition, the deformed numerical range. We will discuss the connectivity of for in Subsection 8.4.
Figure 2 shows the set for . Note that in many instances the plotted set itself is not convex and for can happen to be not connected.
Later on, on Section 6 it will become clear that the location with respect to the origin plays here the essential role. In particular, note that for a normal matrix the deformed numerical range is not the convex hull of its eigenvalues.
The next example, due to its importance and length of the argument, is presented as a proposition.
Proposition 6**.**
If , then
[TABLE]
Proof.
For the result is known, hence, assume that . As in Section 2 we take , . Let , so that
[TABLE]
The deformed numerical range of has the following form
[TABLE]
Observe that is circular and since it is also convex, it is a disc centred at the origin. We prove now that its radius equals . Applying (11) we obtain
[TABLE]
It is a matter of elementary calculation that for we have .
Setting
[TABLE]
we see that in fact .
∎
4. The deformed numerical range of an operator
First, let us consider the case of a quasinilpotent operator, interesting for itself and needed later on in the proof of the inclusion .
Proposition 7**.**
Let be a bounded and quasinilpotent but not nilpotent operator on a Hilbert space . Then there exist a sequence such that for and
[TABLE]
In consequence, for any , is nonempty, [math] is an accumulation point of , and .
Proof.
Fix and define a function by
[TABLE]
Since is quasinilpotent, we infer from the root test [25, page 199] that is an entire -valued function. Observe that
[TABLE]
Note that since is not nilpotent, is not constant and implies . Hence,
[TABLE]
By [26, Theorem 3.32] there exist a sequence such that , which gives and
[TABLE]
Setting finishes the proof of (15).
Note that by (9) for a fixed there exists such that for . For those we define . Note that as and
[TABLE]
To finish the proof we need to prove that , in the light of (18) and since it is enough to show that is bounded. Observe that
[TABLE]
Note that on the right hand side the first factor converges, by (6) and (15), to , where , and the second factor converges to by (18), which finishes the proof. ∎
We are able now to complete the proof of the inclusion , , showed so far in the finite dimensional case.
Proof of Theorem 2 (vi).
First we show that . Take . Then there exists a sequence of unit vectors in such that . This implies that , and consequently , for large enough, and . Hence, .
The proof now splits into several cases.
Case 1: . Recall that , see e.g. [16, Theorem 2.5]. Consequently,
[TABLE]
Case 2: . Then
[TABLE]
Case 3: [math] is an isolated point of . Then, by taking the Riesz projection and applying (iv) and Case 1 we see that is contained in . Hence, the proof of Case 3 reduces to considering . If [math] is an eigenvalue then we use Proposition 1(v). If then is a quasinilpotent, but not nilpotent operator. By Proposition 7 we have, in particular, that .
Case 4: and is a non-isolated point of . Then, by compactness of , [math] is a non-isolated point of . In consequence,
[TABLE]
∎
5. Connection with the classes of power bounded operators
First we show the connection of our deformed numerical range and radius with the dilation theory initiated by Sz.-Nágy and Foiaş in [28] and Durszt in [11]. It is known that the operator satisfies the following condition
[TABLE]
if and only if there exists a unitary operator in some Hilbert space containing as a subspace, such that for any polynomial with holds , where is the orthogonal projection from onto . Note that it follows that the spectrum of an operator satisfying (Iρ) is automatically contained in the closed unit disc. We refer to [29] for more details.
While for dilation theory the number is more natural, for technical purposes in the present paper it was much more convenient to use the parameter . We adapt the condition (Iρ) therefore.
Lemma 8**.**
For and condition (Iρ) is equivalent to the following.
[TABLE]
Proof.
First note that for both conditions (Iρ) and (Ir) are trivial. The implication (Iρ)(Ir) follows now by setting, for each , with and . To see the converse, consider first the case . Then equals the whole unit sphere in . Setting and using the inequality we get that (Ir) implies (Iρ) for . The case is trivial. Now let . Observe first that for unit with the inequality is automatically satisfied on , as is in such case a quadratic polynomial with the positive leading coefficient and at most one real root. In consequence, on for all unit , which, again by setting , is equivalent to (Iρ). ∎
It is well known that if and only if . We present the following generalisation.
Theorem 9**.**
Let be a bounded nonzero operator on a Hilbert space. Then has a dilation, i.e. , if and only if the deformed numerical range is contained in the closed unit disc.
Proof.
As before, we will use in the proof the auxiliary parameter . Assume first that , we show that (Ir) is also satisfied. The cases are known. Let , we fix . If then trivially , so we assume . Then, is a quadratic polynomial with the negative leading coefficient, and two different real roots
[TABLE]
Consider first the case . Note that
[TABLE]
where the last inequality follows by assumption that . Hence, for .
Now take unit with , . As , the set has an empty interior. (Indeed, supposing the contrary one may take in the interior of and arbitrary and note that
[TABLE]
getting , which contradicts .) Hence, there exists a sequence of unit vectors with converging to . Note that converges to pointwise in , which shows that for . Summarising, we have so far showed that (Ir) holds for .
Now let or equivalently , we fix . If then trivially , so we assume . Then is a quadratic polynomial with the positive leading coefficient, and two (possibly equal) real roots given by (19). Since we have and consequently
[TABLE]
This shows that on , i.e. (Ir) is satisfied.
Assume now that , i.e. (Ir) is satisfied. It is enough to show that for . Let us fix , as we may assume that . The cases () are known, let now . Then is a quadratic polynomial with the negative leading coefficient, and two different real roots (19). Note that
[TABLE]
and so as (Ir) is assumed we have that .
Let now . Assume that . Then is a quadratic polynomial with the positive leading coefficient and two different roots. Hence, and and (Ir) implies that . ∎
Immediately we get the following:
Corollary 10**.**
We have that
[TABLE]
Furthermore, .
As this fact is crucial for our investigations, the above proof of Theorem 9 is nontrivial, and it gives some insight in the definition of , we decided to present it in full detail.
Remark 11**.**
The equation (20) above was remarked without proof in [1] in the following slightly different form, namely:
[TABLE]
Due to Mathematical Reviews it can be found as well in [22], see also [21] for the case . As the proof does not seem to be clear (especially, for it is not clear if the set on the right hand side of (21) is equal to , see Remark 4), we have decided to show a complete proof of Theorem 9 above.
We also get some basic properties of , explaining the symbol for the spectral radius of .
Corollary 12**.**
The following holds for any bounded linear operator on a Hilbert space :
- (i)
the function is nonincreasing; 2. (ii)
* for ;* 3. (iii)
* for ;* 4. (iv)
; 5. (v)
* with ;*
Proof.
By Corollary 10 and by monotonicity of the classes with respect to (e.g. [29]), statement (i) follows.
Statement (ii) follows directly from (i) and Theorem 2(v). Statement (iii) follows directly from (i) Theorem 2(vi).
Statement (iv) is obvious. To see (v) let us fix and such that and . Since , one can get . Thus
[TABLE]
∎
As a second main result of this section we show that the disc with radius is a –spectral set.
Theorem 13**.**
For any bounded operator in a Hilbert space and for any polynomial we have
[TABLE]
Note that for we get (4) and for we get the von Neumann inequality (1).
Proof.
We fix . By Proposition 2(iii) we have , therefore, by Theorem 9 is of class . Hence, one has the inequality
[TABLE]
where is an –unitary dilation of and is any polynomial. Substituting for we get the claim. ∎
We conclude the section with a formula for , see further in Subsection 8.1 for yet another one. For this aim we define, following [8] and [10], two Hermitian-operator-valued measures on a circle ():
[TABLE]
and
[TABLE]
For brevity we will usually omit the variable and write .
Proposition 14**.**
Let be a bounded operator in a Hilbert space . Then
[TABLE]
where the Hermitian operator valued measure is defined as
[TABLE]
Proof.
First we show that on , which shows the inequality ’’ as by Corollary 12. For this aim let and note that the operator is of class by Theorem 9. Hence, condition (Iρ) for is satisfied, in particular for and we have
[TABLE]
which is equivalent to
[TABLE]
Hence,
[TABLE]
Replacing by and by we get
[TABLE]
with .
Now let on for some . Then satisfies clearly condition (Iρ). By analogous arguments as before for we have
[TABLE]
where Since , the above function is superharmonic. Thus the inequality (26) holds for . In other words satisfies (Iρ) with . In consequence, is of class and , by Corollary 10. ∎
6. Monotonicity and continuity of the deformed numerical range
Next we turn to the questions of monotonicity and continuity of the sets with respect to the parameter . The latter will be understood with respect to the Hausdorff distance on complex plane
[TABLE]
where are compact subsets on complex plane. We formulate now the main result on monotonicity and continuity of the mapping , below denotes the limit with respect to the Hausdorff metric.
Theorem 15**.**
For a bounded operator on a Hilbert space the following holds.
- (i)
If and then . 2. (ii)
If and then . 3. (iii)
If is finite dimensional, and then . 4. (iv)
The function is continuous on with to respect to the Hausdorff metric.
Remark 16**.**
First observe that Example 5 shows that the assumptions on location of the zero in (i)–(iii) are indispensable. Later on, in Section 7, we will assume that , which guarantees the monotonicity for all .
For the proof of the theorem we need three lemmas, the first of which is well known.
Lemma 17**.**
The convex hull operator , acting on the family of compact subsets of , satisfies a Lipschitz condition .
Proof.
Let ( be compact subsets of and let . Then there exist and such that and (it is enough to take by the Carathéodory theorem). Therefore,
[TABLE]
Thus . Reversing the roles of and completes the proof. ∎
For subsequent reasonings we need to define the following auxiliary sets. Let be a bounded operator on a Hilbert space, for we set
[TABLE]
Note that the definition is correct as by Proposition 1(i).
Lemma 18**.**
For the mapping
[TABLE]
is continuous with respect to the Hausdorff metric.
Proof.
Fix and take with with some . For it means . By Theorem 2(iii) we may assume that , so that and for . In this setting it is clear that
[TABLE]
This implies the following inequality for the Hausdorff metric
[TABLE]
Observe that if is such that then
[TABLE]
and if is such that then
[TABLE]
Taking together (28), (29) and (30) and the fact that was arbitrary we get the claim.
∎
Lemma 19**.**
If and then .
Proof.
It is enough to show that any of the form with belongs to . If then trivially , so we assume that and hence and . Note that and . As we assumed that , we get . ∎
Proof of Theorem 15.
(i) The proof follows the same lines as the proof of Lemma 19 with replaced by , and (however, the statement itself is not a direct consequence of Lemma 19).
(ii) Assume that . We show that , which will finish the proof. Consider the set
[TABLE]
As the mapping is, by Lemmas 17 and 18, continuous, the set is nonempty and open in . Furthermore, by Lemma 19 we see that if then . Hence, to show that is closed in it is enough to take a decreasing sequence and show that . Applying once again Lemma 19 we have that and therefore, the distance of [math] to is bounded from below by some . By continuity of we get , which shows . To finish the proof note that since , we have .
(iii) In view of (i) and (ii) it is enough to show that . Take . Then for some . By Proposition 1(iii) we have . Hence, , as otherwise would lie in the interior of due to . Clearly, .
(iv) The statement follows directly from Lemmas 17, 18 and the fact that for .
∎
7. Spectral constants of the deformed numerical range
Following Crouzeix [5] we define
[TABLE]
where is an open, non empty, convex subset of and denotes the Hardy space. Note that , provided that , due to the Cauchy integral formula. Furthermore, we define
[TABLE]
The following result was proved as [5, Lemma 2.2] for , we show that it is true for all under the additional assumption that . Note that while for this assumption may be simply omitted, due to the law , , we cannot drop this assumption for .
Lemma 20**.**
Let be a matrix. Then for any closed set containing the numerical range we have
[TABLE]
In particular, if and then
[TABLE]
Proof.
Let be an eigenvalue of lying on the boundary of . As the eigenvalue lies also on the boundary of . Now, the proof follows the same lines as in [5, Lemma 2.2].
∎
Remark 21**.**
For the sake of completeness let us mention that it is also possible to show that for a finite dimensional the second statement of Lemma 20 holds for , where depends on . The proof is, however, rather technical and the result will not be used later on.
Note that in general the function is not continuous, as the example of the matrix with shows. Nonetheless, the function is continuous with respect to for fixed :
Theorem 22**.**
Let be a bounded operator on a Hilbert space with , then the function
[TABLE]
is continuous and increasing. If, additionally, is finite dimensional, then the function in (32) is either constantly equal to or strictly increasing.
Proof.
The proof is based on Lemma 2.2 from [5]. It was shown therein that for fixed the function is decreasing and continuous with respect to the Hausdorff metric, note that this part of the proof did not use the fact that is finite dimensional. Combining this information with Lemma 20 and Theorem 15 (iv) we get the desired continuity in (32).
Monotonicity in (32) results directly from Theorem 15(ii). To prove that the function in question is strictly increasing if we use Theorem 15(iii). In the light of this result, combined again with Lemma 20, it is enough to remark that if and , see again [5], Lemma 2.2.
∎
Remark 23**.**
If the condition is not satisfied, it is tempting to replace by , where is chosen apropriateltely, e.g., it is the barycentre of the spectrum of . However, one should be careful with such manipulations, as is not translable, see Remark 3 and Example 5. Hence, the corresponding spectral constants and may differ.
We are also able now to complete the analysis from Proposition 6.
Corollary 24**.**
For we have
[TABLE]
Proof.
Take any . By Proposition 6 we have that . Considering the polynomial we get . On the other hand Theorem 13 gives us the opposite inequality. ∎
Recall that the Crouzeix conjecture says that for any bounded operator , (equivalently: for any matrix , see [6]). Note the following corollary from our considerations above.
Corollary 25**.**
The Crouzeix conjecture does not hold if and only if there exists a matrix with and such that .
Proof.
Suppose that there exists a matrix with . Observe that has a nonempty interior, otherwise is an affine transformation of a Hermitian matrix and , contradiction. Due to for , one can find a matrix with and . Application of Theorem 22 finishes the proof of the forward implication. The converse implication follows directly from the last statement of Theorem 22. ∎
8. Relations to other concepts
8.1. Dilation result
In [20] Mathias and Okubo showed that
[TABLE]
i.e. the sets and have the same maximal absolute value. We show the following.
Theorem 26**.**
For any complex square matrix we have
[TABLE]
Proof.
Let us take a point with . Without loss of generality, multiplying by a constant if necessary, we may assume that , so that
[TABLE]
where . Note that by the formula for the numerical range of a matrix (cf. e.g. [14, Chapter 1]) applied to
[TABLE]
we have . Hence, there exist a unit vector , , such that
[TABLE]
We set
[TABLE]
Note that is a unit vector in . Furthermore,
[TABLE]
which is the right hand side of (33). In consequence, .
∎
Remark 27**.**
Note that if is Hermitian, then is contained in the real line, while is usually not Hermitian. Hence, the converse inclusion clearly does not hold in general. Also, recall that , but, in general, is not a subset of due to .
Example 32 at the end of the paper contains a plot of the sets and for a non-normal matrix .
8.2. -numerical range
Let be a matrix. The -numerical range is defined as
[TABLE]
It is known that the -numerical range is convex and that
[TABLE]
(cf. [30]). Clearly, , in particular (31) holds for . In fact, by Theorem 2.7 of [17], all the eigenvalues of are in the interior of and (31) holds simply by continuity of the Cauchy integral. Furthermore, we have the following inclusion.
Theorem 28**.**
Let be a complex square matrix and let , . Then the inclusion
[TABLE]
hold, provided at least one of the following conditions is satisfied
- (i)
; 2. (ii)
* and ;* 3. (iii)
* and .*
Proof.
As is closed and convex, it is enough to show that for arbitrary unit vector , let us fix such . Without loss of generality, multiplying by a constant if necessary, we may assume that .
First let us consider the cases (i) and (ii) simultaneously. By formula (34), it is enough to show the inequalities
[TABLE]
where and . To see the right inequality of (36) note that in both cases (i) and (ii), due to . This can be written as
[TABLE]
Multiplying both sides by and adding to the right hand side we obtain
[TABLE]
Note that the left hand side above is nonnegative, due to the assumption . Taking square roots and adding to both sides, we get the desired right hand side of (36).
Now let us show the left hand side of (36). First observe that
[TABLE]
Indeed, in case (i) one simply has , while in case (ii) one has , and hence, the inequality (37) follows by simple manipulations of . Multiplying both sides of (37) by one obtains
[TABLE]
Hence,
[TABLE]
where the expression under the second square root is nonnegative due to . This finishes the proof of (36) and the proof in cases (i) and (ii).
Consider now the case (iii). Then, as , one needs to prove only the right hand inequality of (36). This follows the same lines as before, starting from . ∎
Example 32 at the end of the paper contains a plot of the sets and for a non-normal matrix .
8.3. Normalised numerical range
For a bounded operator on a Hilbert space the normalised numerical range is defined as
[TABLE]
Although the definition seems to be similar to (especially if ), there seems to be no clear relation as with the -numerical range or as above. However, while proving the spectral inclusion in Section 4 we have contributed to the following result.
Proposition 29**.**
For any nonzero bounded operator on a Hilbert space the closure of contains some point on the unit circle.
Proof.
It was shown in Proposition 7 of [12], see also [27, Proposition 1.2], that the result holds if there is a nonzero point in the approximative spectrum of . Hence, the only case left to consider is the case when the approximative spectrum equals , i.e., is a quasinilpotent operator.
If is nilpotent, then there exist two unit vectors , not necessarily orthogonal, such that , , . Then observe that with
[TABLE]
The remaining case of a qusinilpotent, but not nilpotent operator, is the essence of Proposition 7 above. ∎
8.4. Davies-Wielandt shell
In this subsection we will present some facts about the set
[TABLE]
Note that by definition our deformed numerical range equals if and in the opposite case. Also let us recall that the Davies-Wielandt shell is defined ([9, 31]) as
[TABLE]
See, e.g., [18] for basic properties, one of which is that is convex if .
We will follow the idea of presenting the set under investigation as a continuous image of the the Davies-Wielandt shell, applied in [19] to the normalised numerical range . In particular, it was shown in [19] that is path connected and simply connected. See also [3] for the connection with the -numerical range . However, the situation with the set is slightly more technical.
Proposition 30**.**
Let be a bounded operator on a Hilbert space with , assume that is not selfadjoint for all . Then for all the set defined above is path-connected. Furthermore, is disjoint with the open disc , where denotes the smallest singular value of .
Proof.
Observe that for the set is a continuous image of the following subset of the Davies-Wielandt shell
[TABLE]
Hence, is path-connected, provided that is path connected. The latter follows from the following reasoning. As is convex, it is either contained in an affine hyperplane or has a nonempty interior in . In the former case the projection on the first two variables is a homeomorphism. Note that is the image of this projection and it has, by assumption on , a nonempty interior in . Thus , and consequently , are path connected. In the latter case, i.e. if is homeomorphic with a closed ball in , path connectedness of follows from a simple topological reasoning.
The following estimate for arbitrary unit shows the second claim
[TABLE]
∎
Example 31**.**
Let be a Hermitian invertible matrix, having both positive and negative eigenvalues. By Theorem 2(i) the set () is contained in the real line. By Proposition 1(v) it contains the eigenvalues. Hence, by Proposition 30, is not connected.
The following Example shows a typical situation, where the set is connected, but not simply connected. We illustrate also the here the results from previous subsections.
Example 32**.**
Consider the matrix and the parameters , . In Figure 3 one may find the eigenvalues (black stars) and the plots of (green), (blue), and (red). The red circle is of radius , the magenta circle is of radius , both centred at the origin. Note the following additional facts:
- •
is a normal eigenvalue lying on the boundary of , cf. Lemma 20.
- •
Decreasing the parameter leads to extending the set , for the values of near this eigenvalue is no longer on the boundary of .
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The hole in the green set is due to Proposition 30, here .
- •
One may observe that , which is frequent situation. However, this is not true in general, e.g. for the inclusion does not hold.
Acknowledgment
The authors would like to express their gratitude to the anonymous referee. The interesting questions posed in the report resulted in the last section of the paper.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1[1] Catalin Badea, Michel Crouzeix, and Hubert Klaja. Spectral sets and operator radii. Bulletin of the London Mathematical Society , 50(6):986–996, 2018.
- 2[2] Trevor Caldwell, Anne Greenbaum, and Kenan Li. Some extensions of the Crouzeix–Palencia result. SIAM Journal on Matrix Analysis and Applications , 39(2):769–780, 2018.
- 3[3] Mao-Ting Chien and Hiroshi Nakazato. Davis–Wielandt shell and q-numerical range. Linear algebra and its applications , 340(1-3):15–31, 2002.
- 4[4] Daeshik Choi. A proof of Crouzeix’s conjecture for a class of matrices. Linear Algebra Appl. , 438(8):3247–3257, 2013.
- 5[5] Michel Crouzeix. Bounds for analytical functions of matrices. Integral Equations and Operator Theory , 48(4):461–477, 2004.
- 6[6] Michel Crouzeix. Numerical range and functional calculus in Hilbert space. Journal of Functional Analysis , 244(2):668–690, 2007.
- 7[7] Michel Crouzeix and Anne Greenbaum. Spectral sets: numerical range and beyond. SIAM Journal on Matrix Analysis and Applications , 40(3):1087–1101, 2019.
- 8[8] Michel Crouzeix and César Palencia. The numerical range is a ( 1 + 2 ) 1 2 (1+\sqrt{2}) -spectral set. SIAM Journal on Matrix Analysis and Applications , 38(2):649–655, 2017.
