1. Introduction and Preliminaries
In functional analysis, particularly in the context of operator theory, the Euclidean operator radius refers to the supremum (least upper bound) of the norms of operators acting on a Hilbert space. If we have a bounded linear operator 
T on a Hilbert space 
, then its norm is defined as 
, where 
 denotes the norm of the vector 
x in the Hilbert space. The Euclidean operator radius extends this concept to a tuple of operators or matrices (see [
1,
2,
3,
4]).
This study delves into Euclidean operator spaces and their associated inequalities, likely in a finite-dimensional context. It explores symmetries and operator norms and derives new inequalities governing various operator properties. While not directly related to the existence of Hilbert spaces, this research contributes to our understanding of functional analysis, which is closely intertwined with Hilbert space theory, demonstrating its significance within the broader mathematical landscape.
Numerous scholars have extensively studied the theory of Hilbert modules over non-commutative 
-algebras, as demonstrated by various works, such as [
5,
6,
7,
8,
9,
10,
11,
12]. The notion of symmetry plays a pivotal role in exploring non-commutative topology, extensions of 
-algebras, and the field of 
K-theory. Symmetry is closely linked with the attributes of Hilbert modules, and grasping their symmetrical aspects offers valuable insights into how they differ from Hilbert spaces.
In non-commutative topology, symmetry shows up in how different algebraic structures relate and change. Hilbert modules, which do not follow the usual commutative rules, have their own kind of symmetry that is different from what we see in Hilbert spaces. They do not have this special “self-dual” quality that Hilbert spaces often do, which marks a big difference in their symmetry.
Another way that Hilbert modules stand apart from Hilbert spaces is that they do not have properties like being orthogonally complementary. In Hilbert spaces, being orthogonal and complementary are important for symmetry, especially when it comes to self-adjoint and unitary operators. Since Hilbert modules lack these properties, they have a kind of imbalance that shapes their unique mathematical features.
Studying symmetry here helps us see the subtle contrasts between Hilbert modules and Hilbert spaces more clearly. It shows us how the absence of specific symmetrical aspects in Hilbert modules affects how they work in non-commutative topology, extensions of -algebras, and K-theory. By looking into these symmetrical details, mathematicians obtain a better grasp of the patterns and connections in these areas of math, making functional analysis and operator theory more interesting and comprehensive.
Hilbert 
-modules extend the concept of Hilbert spaces by allowing scalars to belong to a 
-algebra instead of being restricted to real or complex numbers. In these modules, an operator matrix refers to a matrix with entries being operators acting within the module, serving as linear mappings from one part of the module to another. Exploring inequalities related to the Euclidean operator radius of 
n-tuple operators and operator matrices within Hilbert 
-modules typically involves an examination of norm behaviors and inequalities amidst various operations, such as addition, scalar multiplication, and operator composition. This exploration also entails delving into the characteristics of 
-algebras and their associated modules, along with methods for analyzing operator and operator matrix norms within these frameworks. For more detail, the reader should refer to [
8,
9,
10,
13].
We begin with the definition of a -algebra.
Definition 1 ([
14])
. A -algebra  is a (non-empty) set with the following algebraic operations:- (i) 
- Addition, which is commutative and associative; 
- (ii) 
- Multiplication, which is associative; 
- (iii) 
- Multiplication by complex scalars; 
- (iv) 
- An involution  (that is,  for all ). 
Both types of multiplication distribute over addition. For , we have . The involution is conjugate linear; that is, for  and , we have . For  and , we have  and . In addition,  has a norm in which it is a Banach algebra; that is,
- (N1) 
- ; 
- (N2) 
- ; 
- (N3) 
for all  and , and  is complete in the metric . Moreover, for all , we have .
 Let us revisit how a Hilbert module over a 
-algebra 
 is defined, as described in [
6].
Definition 2 ([
6])
. Consider a linear space  over a complex field endowed with the structure of a right -module. We assume that , where ξ belongs to , a belongs to , and λ is a complex number. The space  is referred to as a pre-Hilbert -module if it possesses an inner product  that adheres to the following conditions:- (i) 
-  and  if and only if ; 
- (ii) 
- ; 
- (iii) 
- ; 
- (iv) 
- , 
where , , and . Set . This is a norm on . If  is complete,  is called a Hilbert module over .
 Let us consider Hilbert -modules  and . We define  as the set containing all mappings , where there exists another mapping  satisfying  for every  and . It is widely known that t must meet the criteria of being a bounded -linear mapping, indicating that t is a linear mapping that satisfies certain boundedness conditions. Additionally, it satisfies  for all  and .
In the event that , then  forms a -algebra, complete with the operator norm.
Definition 3 ([
11])
. Consider a -algebra denoted by . A linear functional ψ acting on  is deemed positive if it satisfies the condition  for all a within . In the scenario where  possesses a unit element (i.e., it is unital), the linear functional ψ is referred to as a state if it is positive and, furthermore, . It is worth noting that when ψ is a linear functional operating on a unital -algebra  and , then ψ automatically qualifies as a state. We represent the collection of all states of  as .   2. Euclidean Operator Radius of n-Tuple Operators
In this section, we explore the fundamental characteristics of the joint numerical radius and various other operator radii related to the Euclidean operator radius of an n-tuple of operators denoted by . A general guideline emerges: for , it holds that . However, these two concepts coincide with the classical numerical radius when . We present precise inequalities and demonstrate that the operator radius within  forms a norm that is equivalent to both the operator norm and the joint numerical radius.
Definition 4 ([
8])
. Let  and . Then,where . It is known from [
8] that 
 is a norm on 
. And if 
 is a Hilbert space, then 
.
The following result was investigated in [
8].
Definition 5. Let  and . The joint numerical radius for  is defined bywhere the supremum is taken over all families of vectors  with , where  is the free semigroup with the generators  and the neutral element .  Definition 6. Let  be an n-tuple operator. Then, Ƒ is said to be commuting if  for all .
 For n-tuple operators , we write ,  and  for any scalar .
Definition 7. Let  be an n-tuple of bounded linear operators on . The Euclidean operator norm is defined by  Lemma 2.  defines a norm on .
 Theorem 1 ([
9])
. Let . If  is a Hilbert -Modules, then Recall that an operator  is said to be self-adjoint if .
Theorem 2 ([
9])
. If  is self-adjoint, then Definition 8. Let  be an n-tuple of bounded linear operators on . The Euclidean operator radius is defined byThe joint (spatial) numerical range of , defined by  In general, when , .
Theorem 3. The joint numerical radius and Euclidean operator radius coincide with the classical numerical radius of an operator  if , i.e.,  Proof.  If 
 and 
, 
, 
		Taking 
, we obtain 
. On the other hand, let 
, 
 and 
 and define 
, 
, where 
. It is easy to see that 
 and
        
        for any 
. Hence, we deduce the inequality 
, which proves our assertion, i.e., 
.    □
 The result outcomes are highly relevant for the subsequent discussions, as detailed in [
9].
Lemma 3. Let  and . Then, the following are equivalent:
- (a) 
-  for every  with ; 
- (b) 
-  for every . 
 Lemma 4. Let . Then,  if and only if  for every  and .
 Lemma 5. Let . Then, for every  and ,  Theorem 4. If , thenOr, equivalently,Here, the constants  and 1 are the best possible.  Theorem 5.  defines a norm that is equivalent to the norm on .
 Consider an n-dimensional complex Hilbert 
-module denoted by 
, equipped with an orthonormal basis 
, where 
n is a natural number or 
. We introduce the full Fock space of 
, defined as follows:
	  Here, 
, and 
 represents the Hilbert tensor product of 
k copies of 
. We define the left creation operators 
, where 
, as follows:
	  Now, let 
 denote the unital free semigroup on 
n generators 
, along with the identity element 
. We define the length of 
 as 
, where 
 for 
, and 
 for 
. We also introduce 
 and set 
. It is evident that 
 forms an orthonormal basis for 
.
The joint spectral radius linked with an 
n-tuple of operators 
 is defined as follows:
      where 
 denotes the norm.
Theorem 6. The joint numerical radius  for n-tuples of operators satisfies the following properties:
- (a) 
-  for any operator  in ; 
- (b) 
-  for any unitary operator  in ; 
- (c) 
- ; 
- (d) 
- . 
 Proof.  (a) Let 
 be an arbitrary sequence of vectors in 
 such that 
. Fix an operator 
 and define the vectors 
, 
, where 
. Observe that 
 and 
. On the other hand, we have
        
		Taking the supremum over all sequences 
 with 
, we deduce inequality (a).
(b) A closer look reveals that, when  is a unitary operator, we have equality in the above inequality. Therefore, relation (b) holds true.
(c) Any vector 
 with 
, 
, has the form 
, where the sequence 
 is such that 
. If 
 are the left creation operators on the full Fock space 
, note that for 
,
        
		Hence, we infer that
        
		Conversely, it is a widely acknowledged fact that the classical numerical radius of an operator 
y adheres to the inequalities 
 (as established in ([
9], Theorem 2.13)). Utilizing relation (
4) and considering the orthogonal ranges of the left creation operators, we can derive
        
		Similarly, one can prove the first inequality in (c).
(d) To prove (vii), notice that, since 
, 
, we have
        
		Consequently, we deduce that
        
		Therefore, inequality (d) is established.    □
 In this section, we outline the fundamental characteristics of the Euclidean operator radius for an 
n-tuple of operators. We introduce a novel norm and a concept akin to the “spectral radius” on 
 by defining them as follows:
      where 
, i.e., the unit ball of 
.
And
      
      where 
 denotes the usual spectral radius of an operator 
. Notice that 
 is a norm 
,
      
	  In what follows, we show that 
 is equivalent to the operator norm on 
.
Theorem 7. If , thenwhere the constants 1 and  are the best possible, and  Proof.  Let 
 be the rotation-invariant normalized positive Borel measure on the unit sphere 
. Using the relations
        
        we have
        
		On the other hand, we have
        
		Now, notice that if 
 are the left creation operators, then
        
		This shows that the inequalities in (
7) are the best possible. In order to prove (
8), note that
        
 □
 The following outcome summarizes several key properties of the Euclidean operator radius for an n-tuple of operators.
Theorem 8. The Euclidean operator radius  for n-tuples of operators satisfies the following properties:
- (i) 
- ; 
- (ii) 
- ; 
- (iii) 
-  for any separable Hilbert -Modules; 
- (iv) 
-  is a continuous map in the norm topology. 
 Proof.  Observe that, for every 
 and 
,
        
		Consequently, we obtain
        
		It is known from [
9], Theorem 2.13, that
        
        for every 
. Applying these inequalities to the operator 
 for 
 and using relation (
10), we deduce (i) and (ii).
To prove (iii), we use relation (
10) and the fact that the classical numerical radius satisfies the equation 
. Indeed, we have
        
		According to (i) and Theorem (7), we obtain
        
		Therefore, we deduce that 
 is continuous in the norm topology. The proof is complete.    □
 We will now establish one of our central results, which provides an inequality involving the Euclidean operator radius.
Theorem 9. Let . Then, for every  and , the following inequality holds:  Proof.  Let 
 and 
 (
) be real numbers with 
. Then, we have
        
		Hence,
        
		Since 
 for all 
 and 
, 
. Consequently,
        
		Suppose 
 for all 
, and we choose 
 in such a way that 
 and 
 for all 
. Then, we have
        
		Therefore, the Cauchy–Schwartz inequality implies that
        
		Also, this inequality holds when 
 for all or some 
. This completes the proof.    □
 Utilizing Theorem 9, we obtain the following corollary.
Corollary 1. If , then  Proof.  From Theorem 9, together with
        
        we have
        
		Taking 
, we obtain
        
		This implies
        
		Therefore,
        
		Taking the supremum over all 
 with 
 and 
, we obtain the desired inequality.    □
 Definition 9. Let . Then, we define  by setting  Next, we obtain a refinement of the first inequality in (
3).
Theorem 10. If  and , then  Proof.  Taking 
 in (
11), we obtain
        
		Hence,
        
		Taking the supremum over all 
 with 
 and 
, we obtain
        
        and so the result.    □
 We will now demonstrate the following inequalities for the joint operator norm of n-tuple normal operators. To this end, we will leverage the well-known characterization of normal operators. An operator t in  is considered normal if and only if  holds for all  in .
Theorem 11. Let  be an n-tuple normal operator. Then,  Proof.  Let 
 with 
 and 
. Then, we have
        
		Now,
        
		Also, we have
        
		Also,
        
		Therefore, the proof is complete.    □
 Remark 1. It is worth noting that if we choose  () as an  matrix where only the diagonal entries at position  are 1, and all other entries are zero, then the first inequality in Theorem 11 becomes an equality. Similarly, if we set  (where I is the  identity matrix) for , then the second inequality in Theorem 11 also becomes an equality. Therefore, it can be concluded that the inequalities presented in Theorem 11 are indeed sharp.
 In the subsequent theorem, we establish an inequality involving the joint numerical radius of n-tuple operators in terms of powers.
Theorem 12. If , then  Proof.  Suppose we have 
 such that 
 and 
. The inequality
        
        implies 
 for each 
. Thus, if 
, then 
 for each 
. The power inequality [
15] implies that 
 for each 
, whenever 
. Therefore, if 
, then
        
		Now, if we take 
 for all 
, then 
, where 
, and so 
. Thus, 
, and this gives 
.    □
 The example below illustrates Theorem 12.
Example 1. Let  be the vector space of all continuous real-valued functions on  with the norm defined byand the inner product defined byNow, let  with , . Then,Also,Now,Thus, the validity of the outcome stated in Theorem 12 is confirmed.  Applying Theorem 12, we derive the following inequality.
Corollary 2. Let . If , then  Proof.  It follows from inequality (
3), together with Theorem 12, that
        
 □
 Now, we will establish the inequalities for the Euclidean operator radius when multiplying n-tuple operators. To show the Euclidean operator norm’s submultiplicative property and the Euclidean operator radius’s subadditive property, we require the following lemma.
Lemma 6. Let , . Then, the following inequalities hold:
- (a) 
- . 
- (b) 
- . 
 Proof.  (a) Let 
 with 
 and 
. Then, we have
        
(b) See the proof of Theorem 5.    □
 Theorem 13. Let , . Then,  Proof.  We have 
, where the second inequality is derived from Lemma 6(a), and the third inequality is derived from (
3).    □
 Moreover, we derive an inequality concerning the collective numerical radius for the multiplication of two n-tuple operators  and , given the condition .
Theorem 14. Let , . If , i.e., ( for all ), then  Proof.  Assume that 
. Then, we have
        
		This proof is complete.    □
 The next bound for the product of two n-tuple normal operators reads as follows.
Theorem 15. Let , . If Ƒ and  are normal, then  Proof.  We have 
, where the last equality follows from 
 and 
, as 
 are both normal (see [
16]).    □
 We wrap up this section with the subsequent theorem concerning the joint spectral radius and joint numerical radius. We begin by introducing the notion of the joint approximate point spectrum for an 
n-tuple operator 
, represented by 
, which is defined as follows:    
	  This definition can be equivalently expressed as the existence of a sequence 
 with 
 such that 
 for all 
. For a commuting 
n-tuple operator 
, 
 represents the joint spectrum of 
, as defined in [
16]. Notably, it follows that 
.
For an n-tuple commuting operator , we introduce the non-negative number , defined as , which is referred to as the joint spectral radius of . For an n-tuple commuting operator , the inequality  is valid.
Theorem 16. Let  be commuting. Then, the following statements are equivalent.
- (i) 
- . 
- (ii) 
- . 
 Proof.  (i)⟹ (ii). Assume that . It follows from  that .
(ii) ⟹ (i). Let 
. Then, there exists a sequence 
 with 
 such that
        
		Without loss of generality, assume that 
 converges to 
, and the sequence 
 converges to 
b. Then, 
. Now,
        
		Hence, 
, and so 
. This implies 
. Hence, 
.    □
   3. Euclidean Operator Radius of  Matrices
For 
, 
, the 
 operator matrix, whose entries are 
n-tuple operators 
, is defined as
      
	  Note that 
 is a Hilbert 
-Module with the inner product defined as
      
      for all 
 and 
. We prove the next lemma to start this section.
Lemma 7. Let , . Then, the following assertions hold:
- (i) 
- . 
- (ii) 
- . In particular, . 
- (iii) 
- . 
- (iv) 
-  for all . 
- (v) 
- . In particular, 
- (vi) 
- . In particular, . 
 Proof.  (i) Let 
 and 
 such that 
, i.e., 
. Then,
        
		Taking the supremum over all 
 with 
 and 
, we obtain
        
		Suppose 
 with 
 and 
. Then, we have
        
		Taking the supremum over all 
 with 
, we obtain
        
		This implies that 
. Similarly, 
. Hence, 
.
(ii) Let 
 and 
 such that 
, i.e., 
. Then,
        
		Taking the supremum over all 
 with 
 and 
, we obtain
        
		Suppose 
 with 
 and 
. Then, we have
        
		Taking the supremum over all 
 with 
, we obtain
        
		This implies that 
. Similarly, 
. Therefore,
        
		In particular, if 
, then 
 (because 
).
(iii) It follows from Theorem 11(b) that
        
        for every unitary operator 
. If we let 
, then
        
(iv) The proof follows from (
13) by taking 
.
(v) Let 
 and 
. Then, 
. Using (i) and (
13), we obtain 
. In particular, if we take 
, then 
.
(vi) Let 
 and 
 such that 
, i.e., 
. Then,
        
		Taking the supremum over all 
 with 
 and 
, we obtain
        
		Suppose 
 with 
 and 
. Then, we have
        
		Taking the supremum over all 
 with 
, we obtain
        
		This implies that 
. Similarly, 
. Therefore,
        
 □
 Hereafter, we set an upper limit for the Euclidean operator radius of  operator matrices, where the elements comprise n-tuple operators.
Theorem 17. Let , . Then,  Proof.  Let 
 and 
 such that 
, i.e., 
. Then, by Minkowski’s inequality, we have
        
		Thus,
        
 □
 As a consequence of Theorem 
3, we can conclude that 
 and 
. Additionally, it is evident that 
 for all 
. Hence, the subsequent corollary directly stems from Theorem 17.
Corollary 3. Let , . Then,  It is important to highlight that Theorem 17 provides a stronger bound compared to Corollary 3. To proceed with the next conclusion, we must refer to the following lemma.
Lemma 8 ([
15])
. Consider an  matrix , where  for all . In this case, , where  represents the spectral radius. The subsequent series of corollaries are derived by utilizing Lemma 8, Theorem 17, and Corollary 3.
Corollary 4. Let , . Then,where  and .  Corollary 5. Let , . Then,where  and .  Next, we establish a lower limit for the Euclidean operator radius of  operator matrices composed of n-tuple operators, utilizing the power inequality derived in Theorem 12.
Theorem 18. Let . Then,  Proof.  Let 
. Then, 
 for all 
. Using Lemma 7 and Theorem 12, we obtain
        
		So, the proof is complete.    □
 Next, we will establish the subsequent lower and upper bounds.
Theorem 19. Let . Then,  Proof.  It follows from Lemma 7(v) that
        
		By replacing 
 with 
, we have
        
		Consequently,
        
		To prove the second inequality, consider a unitary operator. Let 
. Then, we have
        
		The proof of the theorem is now concluded.    □
 The following example illustrates Theorem 19.
Example 2. Let , where , , , and . First, let us compute :Next, let us compute : Now, consider  and . We will evaluate the expression With these values, we haveTherefore, the inequality becomes  We derive the following inequalities by employing Theorem 19.
Corollary 6. Let  for all . Then,  Proof.  Replacing 
 with 
 in Theorem 19 and then using Lemma 7, we have
        
		This implies that
        
		But we know that 
 and so the result.    □