Abstract
We introduce the transitive closure operator on the set of square matrices over a class of semirings, and then define the transitive closure of a matrix. We characterize the surjective linear transformations of matrices preserving (strongly preserving) transitive closures, and show that a surjective linear transformation preserves the transitive closures if and only if it commutes with , which is equivalent to preserving the kernel of . We also deduce that the strong linear preservers of transitive closure on matrices over certain inclines are surjective. In particular, we provide a complete characterization of strong linear preservers of transitive closure on matrices over the binary Boolean semiring.
MSC:
15A86; 16Y60
1. Introduction
Linear preserver problems (LPPs) concern the characterization of linear transformations on matrix spaces that leave certain functions, subsets, relations etc., invariant. LPPs have been a classical and active topic in matrix algebra and operator theory (see [1,2]). Over the past few years, extensive results have been obtained for matrices over fields or various semirings. For instance, Beasley et al. [3,4] characterized linear preservers of matrix rank. Catalano et al. [5] described linear transformations preserving products equal to a diagonalizable matrix. Chen et al. [6] studied strong commutativity linear preservers of strictly triangular matrix Lie algebras. Costara [7] investigated linear transformations preserving fixed values of products of matrices at fixed vectors. Guterman et al. [8] classified linear isomorphisms preserving Green’s relations for matrices over anti-negative semifields. Kang et al. [9,10] studied linear preservers of regularity. Nikita et al. [11] characterized linear transformations preserving square roots of idempotent and rank-one nilpotent matrices. Pshenitsyna [12] classified linear preservers of invertibility. Deng et al. [13] investigated linear preservers of Kleene stars on matrices over inclines.
Despite these advances, some issues concerning linear preservers on matrices over inclines remain unresolved. Inclines are a special and important class of idempotent semirings that have wide applications in areas such as automata theory, the design of switching circuits, logic of binary relations, Markov chains, information systems, and fuzzy mathematics [14,15]. Transitive closure is a fundamental concept in graph theory and combinatorial matrix theory, which records the existence of paths between vertices in the associated digraph. The transitive closure can be naturally extended to matrices over semirings. While transitive closure linear preservers have been studied on tropical matrices [16], the case of incline matrices has not been systematically investigated. This paper aims to fill this gap.
The main contributions of this paper are as follows. In Section 3, we introduce the transitive closure operator for matrices over commutative inclines without zero divisors, and define the transitive closure of such a matrix. In Section 4, we characterize the surjective linear transformations preserving (or strongly preserving) transitive closures (see Theorem 1). In Section 5, we prove that a surjective linear transformation preserves transitive closures if and only if it commutes with , if and only if it preserves the kernel of (see Theorem 4). In Section 6, we show that strong linear preservers of transitive closure on matrices over certain inclines are surjective (see Theorems 6 and 7). In particular, we completely characterize strong linear preservers of transitive closure on square matrices over the binary Boolean semiring (see Theorem 8). These results extend the theory of linear preserver problems to incline matrices and enrich the connections between semiring matrix theory and graph-theoretic closure operations.
2. Preliminaries
A semiring is a nonempty set R together with two binary operations + (addition) and · (multiplication) such that is a commutative monoid with identity 0, is a monoid with identity 1, multiplication distributes over addition from either side, and for all . For simplicity we denote by .
Let R be a semiring and . a is a left zero divisor (right zero divisor, respectively) if (, respectively) for some and a is a zero divisor if it is both a left and a right zero divisor. The semiring R is commutative if for all , R is anti-negative if implies that for all , R is idempotent if for all (see [3,17]). An idempotent semiring R is called an incline if and for all (see [14]). It is easily seen that if a semiring R is idempotent, then R is anti-negative and so the incline is anti-negative.
Now define a binary relation ≤ on an idempotent semiring R by
Then ≤ is a partial order on R (see [18]). Also, ≤ is compatible with + and ·, that is, for any ,
In the sequel, S always denotes the commutative incline without zero divisors and with multiplicative identity 1, where . Clearly,
It is well known that the binary Boolean semiring , the fuzzy semiring (where and ), (where is the set of non-positive real numbers, and is defined as the arithmetic sum of a and b) are examples of such incline S (see [4,9,15,19]).
Let denote the set of all matrices over S. For and , define , , by
Notice that and are both commutative. Then and . With respect to the above addition and multiplication, forms an idempotent semiring with an additive identity element (the matrix with all entries 0) and a multiplicative identity element (the matrix with all diagonal entries 1 and all off-diagonal ones 0). Also, with respect to the above addition and scalar multiplication, forms a S-semimodule.
Let denote the set . For any , if in the sense of (1), then
By (2), for any ,
Denote by the matrix with all entries 1. Obviously, for all . An matrix is called a permutation matrix if it is formed from the identity matrix by reordering its columns and/or rows. Let denote the symmetric group on . Then for any permutation matrix , there exists a unique such that for all and other entries of P are all 0. We usually denote P by . Clearly, . Thus the inverse matrix of is , i.e., . For , denote by the transpose of A and by the iterated product , in which A occurs k times. Since S is commutative, it follows that for any .
Let T be a linear transformation on , that is, for any and ,
Suppose that and that ∼ is an equivalence relation on . We say that T preserves if implies that and say that T strongly preserves if if and only if . We say that T preserves ∼ if implies that and say that T strongly preserves ∼ if if and only if .
3. Transitive Closures
Recall that a digraph (see [20]) is a pair where V is a nonempty finite set whose elements are called the vertices of D, and E is a subset of whose elements are called the arcs of D. Any arc of the form is a loop. A sequence of vertices in D is a path (in D) if or and for all . We also say that is a path from to . The transitive closure of the digraph D is a digraph which contains an arc whenever there is a path from i to j in D.
Let . The digraph associated with A is denoted by , where is the vertex set and is the arc set. Define a mapping by
We shall verify later that the transitive closure of digraph is . Motivated by this result, we say that is the transitive closure operator on , and say that is the transitive closure of A. Firstly, we have
Proposition 1.
Suppose that and be defined as above. Let . Then for any ,
Proposition 2.
Let and be defined as above. Then for all . Moreover, for all .
Proof.
Let . If , then by the definition of . Now suppose that . Let and . Then for any ,
Since , we deduce that are not pairwise different in . By (3), . Thus . Hence for all . □
Proposition 3.
Let . Then the transitive closure of is .
Proof.
Let and . Then
where
Suppose that . If there exist such that is a path in , then and so . Thus since S has no zero divisors. Let . Then since S is anti-negative. By Proposition 2, and so . Hence . This shows that the transitive closure of the digraph is . □
Denote by the set of images of matrices under , i.e., . As a consequence of Proposition 2, we immediately have
Corollary 1.
Let . Then if and only if .
By Corollary 1, it is easily seen that if and only if for all . Thus for any , that is, the restriction of to is the identity mapping. In particular, . Notice that is a permutation matrix; it is natural to consider the images of all permutation matrices under . In general, for any permutation matrix , write as a product of m disjoint permutation cycles with lengthes , that is
where and . Let us denote
Let . Since , we deduce that
That is, for any , the -submatrix of is an matrix with all entries 1, and for any with , the -submatrix of is an matrix with all entries 0. Now we immediately have
Proposition 4.
Let be a permutation matrix in . Then if and only if σ is a permutation cycle of order n.
Let be a linear transformation and be the transitive closure operator. We say that T commutes with if for any . Denote by the kernel of , that is,
Clearly, is an equivalence relation on .
Proposition 5.
Let be a linear transformation. Then T commutes with if and only if T preserves and preserves .
Proof.
Suppose that T commutes with . Let . Then and so . Thus T preserves . Now suppose that and . Then and so . Hence and so . This shows that T preserves .
Conversely, suppose that T preserves and preserves . Let . Notice that . Then and so . Since , we have and so . Thus . This shows that T commutes with . □
4. Surjective Linear Preservers of
In this section, we consider surjective linear transformations on that preserve . Let denote the matrix with 1 in the -th position and 0 elsewhere. It is easily seen that
For , we have . Let T be a linear transformation on . Then . This implies that T is completely determined by the images . Beasley and Guterman have given a characterization of surjective linear transformations on matrices over anti-negative semirings without zero divisors (see [3] (Theorem 2.14)).
Lemma 1
([3], Theorem 2.14). Let R be an anti-negative semiring without zero divisors and be a linear transformation. Then the following statements are equivalent:
- (i)
- T is bijective;
- (ii)
- T is surjective;
- (iii)
- There exists a permutation and units such that for all , where is the center of R.
Notice that the incline S which we consider in this paper is commutative, anti-negative and has no zero divisors. Also, we can verify that S contains the unique unit 1 (in fact, if and , then and so ). Now we have the following result which is a special case of Lemma 1.
Lemma 2.
Let be a linear transformation. Then the following statements are equivalent:
- (i)
- T is bijective;
- (ii)
- T is surjective;
- (iii)
- There exists such that for all .
Let T be a surjective linear transformation on . By Lemma 2, . In particular, if , then and . Thus T is the identity transformation on . In the following, we always assume that . Let
Then and are both finite sets. For , let us denote
Proposition 6.
Let () be a surjective linear transformation preserving . Then . Moreover, and .
Proof.
By Lemma 2, there exists such that
This implies that has exactly n entries equal to 1, and all other entries are 0. We claim that is a permutation matrix. Otherwise, there are two possibilities of .
Case 1. for some . Then there exists such that for some with . Since T is surjective, by Lemma 2, for some with . Let . Then and so . Let and . Then and for all . Also, . Notice that . Then by Corollary 1. This contradicts that T preserves .
Case 2. for some . Then there exists such that for some with . Since T is surjective, by Lemma 2, for some with . Let . Then and so . A similar argument as in Case 1 establishes that , a contradiction.
From the above discussion, is a permutation matrix. Since , we have and so . Thus . Moreover, notice that , are both finite sets. Then and . □
Lemma 3.
Let () be a surjective linear transformation preserving , and . Then the following statements hold:
- (i)
- If and , then either or ;
- (ii)
- If and , then either or .
Proof.
Suppose that and . If , then by Proposition 6. If , we assert . Otherwise, assume that and . Then and . We consider the following two possibilities of u:
Case 1. . Firstly, we show that . Otherwise, if , let . Then . Since T preserves , we have and so . Suppose that , , then . Notice that the -entry of is 0 and the -entry of is 1; this contradicts with . Thus . Now let
Then and . Since T preserves , we have and so . Thus or . It is a contradiction.
Case 2. . Firstly, we shall show that . Otherwise, if , let . Then . Since T preserves , we have and so . Suppose that , , then . Notice that the -entry of is 0 and the -entry of is 1; this contradicts with . Thus . Now let
Then and . Since T preserves , we have and so . Thus or . It is a contradiction.
We have shown (i) holds. A similar argument as in (i) establishes (ii). □
Lemma 4.
Let () be a surjective linear transformation preserving ; are pairwise different. Then the following statements hold:
- (i)
- If and , then either or ;
- (ii)
- If and , then either or .
Proof.
Suppose that and , then and by Proposition 6. If , then since T is bijective. If , we assert . Otherwise, if , let , then . Since T preserves , we have . Notice that , then or by Lemma 3.
If , then , a contradiction. If , then , a contradiction. Thus, and (i) holds. The proof of (ii) follows by a similar argument as in (i). □
Lemma 5.
Let () be a surjective linear transformation preserving and . Then
- (i)
- or ;
- (ii)
- or .
Proof.
(i) Suppose , . Then or . If , then (i) holds. Now suppose that . For any , let , then . By Lemmas 3 and 4, if , then ; if , then . Thus (i) holds.
(ii) Suppose , . Then or . If , then (i) holds. Now suppose that . For any , let , then . By Lemmas 3 and 4, if , then ; if , then . Thus (ii) holds. □
Lemma 6.
Let () be a surjective linear transformation preserving and . Then the following statements hold:
- (i)
- If , then for any , there exists such that ;
- (ii)
- If , then for any , there exists such that ;
- (iii)
- If , then for any , there exists such that ;
- (iv)
- If , then for any , there exists such that .
Proof.
We shall show that (i) holds. The proofs of (ii), (iii) and (iv) are similar to those of (i). If , then . For any , let , . We assert . Otherwise, by Lemma 5. Thus there exist such that and . This contradicts that T is bijective. Thus (i) holds. □
Lemma 7.
Let () be a surjective linear transformation preserving . Then for any ,
- (i)
- if and only if ;
- (ii)
- if and only if .
Proof.
We shall show that (i) holds. The proof of (ii) is similar to that of (i). Suppose that , then . By Lemma 5 (ii), or . If , then for , there exist such that and . This contradicts that T is bijective. Thus .
Conversely, if , then . By Lemma 5 (i), or . If , then for , there exist such that and . This contradicts that T is bijective. Thus . □
Lemma 8.
Let be a transformation. If there exists such that for all or for all , then T is a surjective linear transformation strongly preserving .
Proof.
Suppose that for all . It is easily seen that T is linear and surjective. Moreover, for any ,
Thus T is a surjective linear transformation strongly preserving .
Now suppose that for all . Notice that . Then and so T is a linear surjective transformation. Since if and only if , we deduce that T strongly preserves . □
Theorem 1.
Let be a surjective linear transformation. Then the following statements are equivalent:
- (i)
- T preserves ;
- (ii)
- T strongly preserves ;
- (iii)
- There exists such that either for all or for all .
Proof.
By Lemma 8, (iii) implies (ii). (ii) implies (i) is clear. We shall show that (i) implies (iii). Suppose that T is a surjective linear transformation preserving . If , then T is the identity transformation on . Thus (i) ⇒ (iii). Now we consider . Let . By Lemma 5, we consider the following two cases of .
Case 1. . By Lemma 6 (i), (ii) and Lemma 7 (i), for any , there exists such that and . Thus for any , . Hence for any ,
Case 2. . By Lemma 6 (iii), (iv) and Lemma 7 (ii), for any , there exists such that and . Thus for any , . Hence for any ,
□
Theorem 2.
Let be a surjective linear transformation. Then T preserves if and only if T commutes with .
Proof.
By Proposition 5, the converse holds. Now suppose that T is a surjective linear transformation preserving . By Theorem 1, there exists such that for all or for all . In both cases, we can verify that . Thus T commutes with . □
5. Equivalent Statements
In this section, we consider surjective linear transformations that preserve , and then provide some equivalent statements to determine whether a surjective linear transformation preserves . Notice that every surjective linear transformation on is the identity transformation. In the following, we always assume that .
Proposition 7.
Let () be a surjective linear transformation preserving . Then the following statements hold:
- (i)
- For any cycle of order n, there exists a cycle of order n such that ;
- (ii)
- and . Moreover, .
Proof.
(i) Let be a cycle of order n. Then and so . Since T preserves , we have and so . By Lemma 2, . Thus . Clearly, is an matrix with exactly n entries 1, and all other entries 0. By Proposition 4, we deduce that for some cycle of order n.
(ii) Let . Then T is bijective on by (i). Notice that . Then
By Lemma 2, and . Moreover, . □
Lemma 9.
Let () be a surjective linear transformation preserving , and . Then the following statements hold:
- (i)
- If and , then either or ;
- (ii)
- If and , then either or .
Proof.
Suppose that and . If , then by Proposition 7. If , we assert . In fact, let and . Then and . Since and T preserves , we have and so . Clearly, . Notice that
We have and so (i) holds. The proof of (ii) follows by a similar argument as in (i). □
Proposition 7 tells us that if T is a surjective linear transformation preserving , then T is bijective on and , respectively. As a consequence of Lemma 9, we have
Corollary 2.
Let () be a surjective linear transformation preserving , and . Then the following statements hold:
- (i)
- If and , then ;
- (ii)
- If and , then .
Lemma 10.
Let () be a surjective linear transformation preserving , are pairwise different. Then the following statements hold:
- (i)
- If and , then either or ;
- (ii)
- If and , then either or .
Proof.
Suppose that and , then and by Proposition 7. If , then since T is bijective. If , we assert . Otherwise, if , let . Then . By Corollary 2, . Then . Since and T preserves , we have and so . Clearly, . Notice that
It is a contradiction. Thus and so (i) holds. The proof of (ii) follows by a similar argument as in (i). □
As a consequence of Lemmas 9 and 10, we have
Corollary 3.
Let () be a surjective linear transformation preserving , . Then the following statements hold:
- (i)
- If and , then either or ;
- (ii)
- If and , then either or .
Theorem 3.
Let be a surjective linear transformation. Then T preserves if and only if T commutes with .
Proof.
By Proposition 5, the converse holds. Now suppose that T is a surjective linear transformation preserving . We shall show that T preserves . Let and . Then for any , we have
Clearly, the -entry of is . Let . If , then or by Corollary 3. Moreover, if , then ; if , then . By (4), we have . Since and , we have
Hence and so . Thus T preserves . By Proposition 5, T commutes with . □
We summarize the results of Theorems 1–3 in a single theorem as follows.
Theorem 4.
Let be a surjective linear transformation. Then the following statements are equivalent:
- (i)
- T preserves ;
- (ii)
- T preserves ;
- (iii)
- T commutes with ;
- (iv)
- T strongly preserves ;
- (v)
- T strongly preserves ;
- (vi)
- There exists such that either for all or for all .
In the remainder of this section, we provide examples to show that there exist non-surjective linear transformations that preserve , commute with or preserve .
Example 1.
Let be defined by for all . Clearly, T is linear and non-surjective. We can verify that T commutes with , preserves and preserves .
Example 2.
Let and be a transformation such that for all . Then T is a non-surjective linear transformation commuting with . Consequently, T preserves and , respectively.
It is clear that T is linear and non-surjective. For any , by a simple calculation, we obtain that
Thus . This shows that T commutes with . By Proposition 5, T preserves and , respectively.
Example 3.
Let and be a transformation such that for all . Then T is a non-surjective linear transformation preserving . However, T does not preserve or commute with .
Obviously, T is linear and non-surjective. Suppose that and . Then . We deduce that and . Thus and so . This shows that T preserves . Notice that but . Then T does not preserve . By Proposition 5, T does not commute with .
Example 4.
Let () be a transformation such that for all . Then T is a non-surjective linear transformation preserving . However, T does not preserve or commute with .
It is clear that T is linear and non-surjective. Notice that for any . Then T preserves . Now let . Then and . Thus , and so T does not commute with . By Proposition 5, T does not preserve .
Example 5.
Let and () be a transformation such that for all , where . Then T is a non-surjective linear transformation preserving . However, T does not preserve or commute with .
Clearly, T is linear and non-surjective. Suppose that . Let and . If , then and so for all . We shall show that , that is, . Now let , , , and . Notice that . We consider the following two cases of .
Case 1. . Then . Since and , we have and . Then .
Case 2. . Then . Let
and
By Proposition 1, and . Since , we have . We claim that if and only if . In fact, if , then there exist distinct such that . Hence . Since , we have and so . Thus . By (3), we deduce that . Similarly, if , then . Moreover, since . For any , and . If , then and so . If , then and . Thus .
We have shown that . Thus and so T preserves . Notice that but . Then T does not preserve . By Proposition 5, T does not commute with .
6. Strong Linear Preservers of
In this section, we stipulate that for any , or . That is, the partial order ≤ defined by (1) is a total order on incline S. We shall consider linear transformations strongly preserving on . In particular, we characterize the strong linear preservers on , and .
Now we give some notations that will be used later. If and , we denote . Let . If and for any , we denote ; if and for any , we denote . Let . Denote , where
Notice that . Take and define by for any . It is clear that T strongly preserves . In the following, we consider .
Proposition 8.
Let () be a linear transformation strongly preserving . Then for any , there is no such that . Consequently, and .
Proof.
Assume that for some . If or , then . Notice that . This contradicts that T strongly preserves . If and , then or (). Hence and . Notice that , a contradiction.
Thus for any , there is no such that . Clearly, and . □
We now consider strong linear preservers of on . Firstly, it is easily verified that
Proposition 9.
Let . Then .
Let T be a linear transformation strongly preserving . In the following, we denote
Notice that . Then . By Proposition 9,
Moreover, we have the following conclusions.
Lemma 11.
Let be a linear transformation strongly preserving . Then the following statements hold:
- (i)
- , ;
- (ii)
- , ;
- (iii)
- , ;
- (iv)
- , .
Proof.
(i) Assume that . Then and
Thus . This contradicts that T strongly preserves . Hence . Moreover, and so . Since S contains no zero divisors, we deduce that .
(ii) Assume that . Then and
Thus . This contradicts that T strongly preserves . Hence . Moreover, and so . Since S contains no zero divisors, we deduce that .
(iii) Assume that . Then and
Thus . This contradicts that T strongly preserves . Hence . Moreover, and so . Since S contains no zero divisors, we deduce that .
(iv) Assume that . Then and
Thus . This contradicts that T strongly preserves . Hence . Moreover, and so . Since S contains no zero divisors, we deduce that . □
Lemma 12.
Let be a linear transformation strongly preserving . Then either (I) or (II) .
Proof.
By Lemma 11 (iii) and (iv),
Assume that the conclusion does not hold. Then or . Thus
and so . Notice that . This contradicts that T strongly preserves . □
Lemma 13.
Let be a linear transformation strongly preserving . Then . Moreover, either (I) , , , or (II) , , , .
Proof.
Firstly, let , we assert . Otherwise, if , then
Since T preserves , we have . Thus
and
By Lemma 12, there are two cases to consider:
Since , we deduce that
and so . Notice that . This contradicts that T strongly preserves .
Since , we deduce that
and so . Notice that . This contradicts that T strongly preserves .
From the above discussion, and so . Secondly, let , we assert . Otherwise, if , then
Since T preserves , we have . By Lemma 12, or . A similar discussion as above shows that . This contradicts that T strongly preserves . Thus and so .
Finally, by Lemma 11, we have
Assume that , , , or , , , . Then or . By Proposition 8, it’s a contradiction. Thus the conclusion holds. □
Lemma 14.
Let be a linear transformation strongly preserving . Then . Moreover, either (I) , , , or (II) , , , .
Proof.
Firstly, let , we assert . Otherwise, if , by Lemma 13, there are two cases to consider:
Case 1. . Then we have
Since , we have and so
Notice that ; we deduce that
Thus . However, . It is a contradiction.
Case 2. . Then we have
Since , we have and so
Notice that ; we deduce that
Thus . However, . It is a contradiction. From the above discussion, we have and so .
Secondly, let , we assert . Otherwise, if , by Lemma 13, there are also two cases to consider:
Case 1. . Then we have
Since , we have and so
Notice that ; we deduce that
Thus . However, . It is a contradiction.
Case 2. . Then we have
Since , we have and so
Notice that ; we deduce that
Thus . However, . It is a contradiction. From the above discussion, we have and so .
Finally, by Lemma 12, the conclusion holds. □
Lemma 15.
Let be a linear transformation strongly preserving . Then either (I) , , or (II) , , .
Proof.
By Lemma 13, there are two cases to consider:
Case 1. .
We assert . Otherwise, without loss of generality, assume that . By Lemma 14, if , then
Since , we have and so . Thus . Notice that , a contradiction.
If , then
Since , we have and so . Thus . Notice that , a contradiction.
Case 2. .
We assert . Otherwise, without loss of generality, assume that . By Lemma 14, if , then
Since , we have and so . Thus . Notice that , a contradiction.
If , then
Since , we have and so . Thus . Notice that , a contradiction.
From the above discussion, the conclusion holds. □
Theorem 5.
Let be a linear transformation strongly preserving . Then T satisfies one of the following conditions:
- (i)
- , and ;
- (ii)
- , and ;
- (iii)
- , and ;
- (iv)
- , and .
Proof.
By Lemmas 14 and 15, there are four cases to consider:
Case 1. , , , , , , .
Let . Then , , , . Moreover, we have
Since T strongly preserves , we deduce that .
Case 2. , , , , , , .
Let . Then , , , . Moreover, we have
Since T strongly preserves , we deduce that .
Case 3. , , , , , , .
Let . Then , , , . A similar discussion to Case 1 shows that .
Case 4. , , , , , , .
Let . Then , , , . A similar discussion to Case 2 shows that . □
As an application of Theorem 5, we characterize strong linear preservers of transitive closure on , and . Recall that for , denotes the Hadamard (or Schur) product, i.e., the -entry of is .
Theorem 6.
Let be a linear transformation. Then T strongly preserves if and only if there exist and with such that for all or for all .
Proof.
First we show the sufficiency. Suppose that and . Let . Then it is easily verified that
Moreover, since the multiplication in is the usual arithmetic sum, we deduce that
Thus T strongly preserves .
Now we show the necessity. Suppose that T strongly preserves . Notice that the additive identity element is and the multiplicative identity element is 0. By Theorem 5, there are four cases to consider:
Case 1. , and .
We assert . Otherwise, . Since is the arithmetic sum of and , we have and so , that is, . Notice that
However, . This contradicts that T strongly preserves . Thus . Let and . Then . Moreover, we can verify that for all .
Case 2. , and .
A similar discussion to Case 1 shows that . Let and , . Then . Moreover, we can verify that for all .
Case 3. , and .
A similar discussion to Case 1 shows that . Let and , . Then . Moreover, we can verify that for all , where .
Case 4. , and .
A similar discussion to Case 1 shows that . Let and , . Then . Moreover, we can verify that for all , where . □
Theorem 7.
Let be a linear transformation. Then T strongly preserves if and only if there exists such that for all or for all .
Proof.
By Lemma 8, the sufficiency holds. Now we show the necessity. By Theorem 5, there are four cases to consider:
Case 1. , and .
We assert . In fact, notice that in ; we have
Since T strongly preserves , we deduce that . Thus . Notice that ; we have . Thus for all .
Case 2. , and .
A similar discussion to Case 1 shows that . Thus for all .
Case 3. , and .
A similar discussion to Case 1 shows that . Thus for all , where .
Case 4. , and .
A similar discussion to Case 1 shows that . Thus for all , where . □
Theorem 8.
Let be a linear transformation. Then T strongly preserves if and only if there exists such that for all or for all .
Proof.
By Lemma 8, the sufficiency holds. We need to show the necessity. Notice that . If , then T is bijective on by Theorem 5. Thus T is surjective by Lemma 2. Consequently, the necessity holds by Theorem 1.
Now we consider . We first show that for any . Otherwise, it follows from Proposition 8 that there exist such that for some . Let
Then . For any , select a unique such that . Let be the set of such elements . Then . Take , then
Since , we have . This contradicts that T strongly preserves . Thus for any . By Proposition 8, for any . Thus T is bijective on . By Lemma 2, T is surjective on . Hence the necessity holds by Theorem 1. □
7. Conclusions and Future Work
In this paper, we have systematically studied transitive closure linear preservers for square matrices over a class of commutative inclines without zero divisors. We introduced the transitive closure operator and studied its relation to the digraph transitive closure (Proposition 3). Our main results provide a complete classification of surjective linear preservers of transitive closures (Theorem 1), establish the equivalence between preserving transitive closures, commuting with , and preserving the kernel of (Theorem 4), and characterize strong linear preservers of transitive closure on matrices over certain inclines (Theorems 6 and 7). As an important special case, we showed that strong linear preservers of transitive closure on Boolean matrices are precisely the transformations given by permutation similarity or permutation similarity combined with transposition (Theorem 8). Several examples (Examples 1–5) demonstrate that the surjectivity condition in our main characterizations is essential.
The results presented in this paper are restricted to the following setting: the underlying semiring is a commutative incline without zero divisors; the linear preservers considered in Section 4 and Section 5 are surjective. Whether these conditions can be relaxed remains an open question.
In the future work, it would be interesting to explore whether similar characterizations hold for non-commutative inclines or more general semirings. Additionally, Examples 1–5 show that non-surjective linear transformations may also preserve transitive closures, or commute with or preserve the kernel of , but a complete classification of such non-surjective linear preservers is still lacking, and we hope that the results and examples presented in this paper will provide useful insights for further studies on linear preservers of matrices over semirings and incline algebras.
Author Contributions
Conceptualization, W.D.; methodology, W.D. and B.Y.; formal analysis, W.D. and B.Y.; investigation, W.D. and B.Y.; data curation, B.Y.; writing—original draft, W.D.; writing—review & editing, W.D. and B.Y.; visualization, B.Y.; project administration, W.D.; and funding acquisition, W.D. All authors have read and agreed to the published version of the manuscript.
Funding
The paper is supported by the National Natural Science Foundation of China (12301024, 12371024), the Youth Backbone Teachers Program of Huanghuai University, the Natural Science Foundation of Henan (262300421857, 242300421392), and the Science and Technology Key Project of Henan Province of China (242102210167).
Data Availability Statement
No new data were created or analyzed in this study.
Conflicts of Interest
The authors declare no conflicts of interest.
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