Preserving the trace of the Kronecker sum
Yorick Hardy, Ajda Fo\v{s}ner

TL;DR
This paper investigates linear transformations that preserve the trace of Kronecker sums and explores their relationship with preservers of determinants of Kronecker products, highlighting the roles of partial trace and partial determinant.
Contribution
It characterizes linear preservers of the trace of Kronecker sums and links them to preservers of determinants of Kronecker products using partial trace and partial determinant.
Findings
Characterization of linear preservers of Kronecker sum trace
Connection established between trace preservers and determinant preservers
Role of partial trace and partial determinant in these preservers
Abstract
The aim of this paper is to study linear preservers of the trace of Kronecker sums and their connection with preservers of determinants of Kronecker products. The partial trace and partial determinant play a fundamental role in characterizing the preservers of the trace of Kronecker sums and preservers of the determinant of Kronecker products respectively.
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Taxonomy
TopicsMatrix Theory and Algorithms · Graph theory and applications · Polynomial and algebraic computation
Preserving the trace of the Kronecker sum
Yorick Hardy
School of Mathematics,
University of the Witwatersrand,
Johannesburg,
Private Bag 3,
Wits 2050,
South Africa
and
Ajda Fošner
Faculty of Management,
University of Primorska,
Cankarjeva 5,
SI-6000 Koper,
Slovenia
Abstract.
The aim of this paper is to study linear preservers of the trace of Kronecker sums and their connection with preservers of determinants of Kronecker products. The partial trace and partial determinant play a fundamental role in characterizing the preservers of the trace of Kronecker sums and preservers of the determinant of Kronecker products respectively.
Key words and phrases:
Linear preserver; Kronecker product; Kronecker sum; trace; partial trace
2010 Mathematics Subject Classification:
15A69; 15A86
1. Introduction
For positive integers , let be the algebra of all matrices over some field and let . Here we consider or and define to be the Hermitian matrices in . Linear maps preserving properties of Kronecker products of matrices have received considerable attention in recent years. Such maps are closely connected to quantum information science (see, e.g., [1]). More recently, Ding et. al. considered linear preservers of determinants of Kronecker products of Hermitian matrices [2], i.e., linear maps satisfying
[TABLE]
where and are Hermitian. A few of the results in [2] are restricted to the case when and are positive or negative semidefinite matrices. In order to study this problem more generally, we make use of the identity
[TABLE]
where is the Kronecker sum, i.e.,
[TABLE]
where , denotes the identity matrix. Under exponentiation of Hermitian matrices, the Kronecker sum arises naturally as the unique map satisfying
[TABLE]
Moreover, over is non-singular if and only if for some [3, Example 6.2.15]. Thus, in studying linear maps preserving determinants of (non-singular) Kronecker products
[TABLE]
of non-singular matrices and , it suffices to study maps preserving the trace of Kronecker sums
[TABLE]
In this article we will confine our attention to linear maps satisfying (1). We denote by and the general and special linear groups in respectively. Thus, we are also interested in preservers of the determinant of Kronecker product in in terms of linear preservers of the Kronecker sum.
In what follows, are positive integers. For a positive integer , denotes the identity matrix, the zero matrix, and , , the matrix whose entries are all equal to zero except for the -th entry which is equal to one. As usual, the symbol denotes the Kronecker delta, i.e.,
[TABLE]
The partial trace plays a central role in our investigation. Let . Then can be written as a block matrix where and . In terms of the Kronecker product we write
[TABLE]
The second partial trace () maps each block of to its trace, i.e., , or equivalently
[TABLE]
Like the trace, the partial trace is a linear operation. Furthermore, the partial trace preserves the trace
[TABLE]
Similarly, we can define the first partial trace (). This definition provides
[TABLE]
Finally, we note that for any
[TABLE]
and similarly for any
[TABLE]
The transpose of the matrix will be denoted by . First, we define RT-symmetry, which plays a similar role in our analysis similar to that of symmetry in matrix analysis.
2. RT-Symmetry
Noting that is an -dimensional space, in general we have
[TABLE]
for some in the underlying field. We define the linear transform of by
[TABLE]
Clearly, . Let be the matrix representing the linear map in the standard basis, and be the matrix representing . Since
[TABLE]
it follows that
[TABLE]
Let denote the perfect shuffle (also known as the vec-permutation matrix) on [4, 5], i.e. . Then
[TABLE]
Consequently, if and only if . Equivalently, if and only if where is the rearrangement operator [6]. The rearrangement operator is linear, and defined by where is the vec operator [4].
Definition 2.1**.**
A linear map satisfying is said to be RT-symmetric. If then is said to be skew RT-symmetric.
The following lemma follows immediately from .
Lemma 2.2**.**
If the underlying field has characteristic not equal to 2, then every linear map is the sum of an RT-symmetric map and a skew RT-symmetric map.
Definition 2.3**.**
A linear map , over , satisfying is said to be RT-Hermitian. If then is said to be skew RT-Hermitian.
3. Linear trace preservers of Kronecker sums
We may write a linear map in the operator-sum form
[TABLE]
for some matrices , , of the appropriate sizes. If preserves the trace of a Kronecker sum , then the cyclic property of the trace yields
[TABLE]
and so we need only consider preservers of the form
[TABLE]
where
[TABLE]
and the remaining preservers are all obtained by representations (2) of . First we consider maps of the form , .
Theorem 3.1**.**
Let be a map given by for some . Then for all and , if and only if
[TABLE]
Proof.
First, let us write in block matrix form, where each for . In other words,
[TABLE]
Since is linear, the map preserves the trace of Kronecker sums if and only if preserves traces of Kronecker products of the form and of the form . Thus, we have
[TABLE]
and
[TABLE]
It follows that
[TABLE]
For Kronecker products of the form , we find
[TABLE]
where
[TABLE]
Consequently,
[TABLE]
Conversely, suppose that and . Then
[TABLE]
Corollary 3.2**.**
Let be a map given by for some , where
[TABLE]
Here, is the tensor rank of over and , for . Then , if and only if for .
Proof.
By theorem 3.1 we need only show that and if and only if for . The proof of is immediate. For , suppose and . It follows that
[TABLE]
Since is the tensor rank of , the set is a linearly independent set and for . Similarly, for . ∎
As a consequence of Theorem 3.1, we have that satisfies if and only if and . In general, this statement is true modulo a traceless matrix. We note that any linear map can be written in the form
[TABLE]
where and for . In the following we will use the commutation operation corresponding to the Lie product of matrices and of the appropriate sizes.
Lemma 3.3**.**
Let be a linear map given by
[TABLE]
Then for all and , if and only if
[TABLE]
and
[TABLE]
Proof.
The linear map can be written in the form
[TABLE]
where and for . Since if and only if and for all and , we consider these two cases separately. In the first case we have
[TABLE]
for all . This equation holds if and only if
[TABLE]
where is the commutator and
[TABLE]
is traceless (i.e., ). Similarly, the second case yields that if and only if
[TABLE]
The commutators in this lemma highlight the traceless character. However, the anti-commutator plays a similar role. Here, the anti-commutator of matrices and is given by . We state the following lemma without proof, which is almost identical to the previous.
Lemma 3.4**.**
Let be a linear map given by
[TABLE]
Then for all and , if and only if
[TABLE]
and
[TABLE]
Lemma 3.3 shows that the partial traces of the identity matrix must be preserved modulo a traceless matrix. However, this traceless matrix is not arbitrary but precisely defined in terms of . The following theorem shows that plays a fundamental role in the characterization of , and provides an succint characterization for RT-symmetric and skew RT-symmetric maps in the subsequent two corollaries.
Theorem 3.5**.**
Let be a linear map. Then for all and if and only if
[TABLE]
Proof.
Using the representation of from Lemma 3.3 provides
[TABLE]
and subtracting these two equations yields
[TABLE]
Similarly,
[TABLE]
From Lemma 3.3, for all and if and only if
[TABLE]
if and only if
[TABLE]
Corollary 3.6**.**
Let be an RT-symmetric map. Then for all and if and only if
[TABLE]
Corollary 3.7**.**
Let be a skew RT-symmetric map. Then for all and if and only if
[TABLE]
It is straightforward to extend Corollaries 3.6 and 3.7 to the RT-Hermitian and skew RT-Hermitian cases since if and only if .
Now we are ready to consider the connection with the work in [2]. The connection is provided by the exponential map, i.e.,
[TABLE]
4. Determinant preservers of Kronecker products
The condition given in Lemma 3.3 implies that we may characterize a class of determinant preservers of Kronecker products in terms of partial determinants. However, the relationship between the partial trace and the partial determinant is not straightforward. If we restrict our attention to matrices over the complex numbers, , then we have [7]
[TABLE]
where and for , and is the multiplicative group of -th roots of unity in . Furthermore, [7] showed that
[TABLE]
Let denote the set of matrices in with each eigenvalue satisfying . Thus we associate with every non-singular matrix a unique matrix such that . Let be a linear map and let be the non-linear map
[TABLE]
The map is well defined since is uniquely determined for every matrix in . We have
[TABLE]
so that if and only if . By linearity of the trace and , this holds if and only if . Clearly, linear preservers of the trace of Kronecker sums also preserve the of Kronecker sums. Thus, Lemma 3.3 provides the following corollary. We use the same form for as in Lemma 3.3.
Corollary 4.1**.**
Let be a linear map. The map given by
[TABLE]
satisfies if and only if for and for , where
[TABLE]
The matrices and are not arbitrary. Theorem 3.5 and Corollaries 3.6 and 3.7 provide a stronger condition, which we present as our final theorem.
Theorem 4.2**.**
Let be an RT-symmetric or RT-Hermitian map. The map given by
[TABLE]
satisfies if and only if
[TABLE]
Theorem 4.3**.**
Let be a skew RT-symmetric or skew RT-Hermitian map. The map given by
[TABLE]
satisfies if and only if
[TABLE]
Funding
The first author is supported by the National Research Foundation (NRF), South Africa. This work is based on the research supported in part by the National Research Foundation of South Africa (Grant Numbers: 105968). Any opinions, findings and conclusions or recommendations expressed is that of the author(s), and the NRF accepts no liability whatsoever in this regard.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
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