The comparison results for K-double splittings of one K-monotone matrix are established in the literatures. As comparison theorems between the spectral radii of different matrices are a useful tool for judging the efficiency of preconditioners, we propose some comparison results for K-nonnegative double splittings of different K-monotone matrices in this note. The obtained results generalize the previous ones.
Citation: Ting Huang, Shu-Xin Miao. On comparison results for K-nonnegative double splittings of different K-monotone matrices[J]. AIMS Mathematics, 2021, 6(7): 7741-7748. doi: 10.3934/math.2021450
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The comparison results for K-double splittings of one K-monotone matrix are established in the literatures. As comparison theorems between the spectral radii of different matrices are a useful tool for judging the efficiency of preconditioners, we propose some comparison results for K-nonnegative double splittings of different K-monotone matrices in this note. The obtained results generalize the previous ones.
Let Rn be the set of n-dimensional vectors, K be a proper cone in Rn. Let π(K) denote the set of n×n matrices which leave the proper cone K⊆Rn invariant, then π(K) is closed under multiplication and is a proper cone in Rn×n [1]. It should be noted that both the nonnegative cone Rn+ and the ice cream cone {x∈Rn|(x22+x23+⋯+x2n)12<x1} are particular proper cones.
In this note, we consider the linear system
Ax=b, | (1.1) |
where A∈Rn×n is a nonsingular matrix and A−1∈π(K), b∈Rn is given and x∈Rn is unknown. Woˊzniki in [18] introduced the double splitting of A as
A=P−R−S, | (1.2) |
where P is nonsingular, and the approximate solution xi+1 of Eq (1.1) is generated by three successive iterations:
xi+1=P−1Rxi+P−1Sxi−1+P−1b,i=1,2,⋯. | (1.3) |
It follows from [6] that the iterative scheme (1.3) can be rewritten in the following equivalent form
(xi+1xi)=(P−1RP−1SI0)(xixi−1)+(P−1b0),i=1,2,⋯, | (1.4) |
where I denotes the identity matrix with compatible size.
The iterative scheme (1.4) converges to the unique solution x⋆=A−1b of (1.1) if and only if the spectral radius of the iteration matrix
W=(P−1RP−1SI0) |
is less than one, i.e., ρ(W)<1. Hou [7] gave convergence and comparison theorems for K-double splittings of an K-monotone matrix. Wang [19] presented convergence and the comparison results for K-nonnegative double splittings of an K-monotone matrix.
The smaller ρ(W), the faster convergence of the iterative scheme (1.4). One approach for improving the convergence rate of the corresponding iterative method is the preconditioning techniques [2]. More precisely, we may solve the preconditioned linear systems
QAx=Qb |
instead of (1.1), here Q, called the preconditioner, is nonsingular. When there are two or more preconditioners for the linear system (1.1), which one is the most efficient one is worth studying. The comparison theorem between the spectral radii of iteration matrices is a useful tool for judging the efficiency of preconditioner [5]. Therefore, in this note we will present the comparison results between the spectral radii of the corresponding iteration matrices arising from K-nonnegative splittings of different preconditioned matrices. For this purpose, we assume that the preconditioned matrices QA with different preconditioners Q satisfy (QA)−1∈π(K). The obtained results of this paper are the generalizations of the corresponding results in [7,16,19].
The rest of this article is organized as follows. In Section 2, some definitions and results are reviewed. In Section 3, the main comparison results for K-nonnegative double splittings of different preconditioned matrices are given. Finally, in Section 4, conclusions are {drawn}.
In this section, some definitions and lemmas, which will be used throughout the paper, will be given.
Definition 2.1. A vector x in Rn is called K-nonnegative (K-positive) if x belongs to K (x belongs to intK, the the interior of K) and is denoted by x≥K0 (x>K0). If x,y∈Rn satisfying x−y≥K0 (x−y>K0), we denote x≥Ky (x>Ky).
Definition 2.2. An n×n real matrix A is called K-nonnegative (K-positive) if AK⊆K (respectively, A(K−{0})⊆intK) and is denoted as A≥K0 (A>K0). Similarly, for n×n real matrices A and B we denote A−B≥K0 (A−B>K0) by A≥KB (A>KB).
Clearly, A is K-nonnegative is equivalent to A∈π(K) [7]. Basic properties of the K-nonnegative matrix are given in [1,7,8]. It should be remarked that the properties of K-nonnegative matrices are very similar to the theory of nonnegative matrices, see for example [1,3,4,8].
Based on the definition of K-nonnegative matrix, we can give the definition of K-monotone matrix.
Definition 2.3. Let A∈Rn×n be nonsingular, A is called K-monotone if A−1≥K0, i.e., A−1∈π(K).
Hou and Li [8] proposed the definition of the K-nonnegative single splittings, and Wang [19] introduced the K-nonnegative double splittings as:
Definition 2.4. Let A be a nonsingular matrix. Then,
(i). the single splitting A=M−N is a K-nonnegative single splitting if M−1N≥K0 [8];
(ii). the double splitting A=P−R−S is a K-nonnegative double splitting if P−1R≥K0 and P−1S≥K0 [19].
It should be remarked that the K-nonnegative single splitting is termed as K-weak splitting in [9] or K-weak splitting of the first type in [8]. Moreover, rewriting (1.2) as
A=P−(R+S), | (2.1) |
then it is a single splitting of A. If the double splitting (1.2) is K-nonnegative, then the single splitting (2.1) is also K-nonnegative.
In this section, we will present the comparison results for the K-nonnegative double splittings of different K-monotone matrices. Assume that there are two preconditioners Q1 and Q2 for the linear system (1.1), then we have two preconditioned linear systems with coefficient matrices A1=Q1A and A2=Q2A, respectively. Moreover, we further assume that the preconditioned matrices A1 and A2 are K-monotone matrices. Some excellent comparison results for K-nonnegative single splittings of A1 and A2 are given in [9,11].
Let
A1=P1−R1−S1andA2=P2−R2−S2 | (3.1) |
be K-nonnegative double splittings of A1 and A2, respectively. Define the corresponding iteration matrices
W1=(P−11R1P−11S1I0)andW2=(P−12R2P−12S2I0). |
For i=1,2, if we split
Ai=(Ai0−II) |
as
Ai=Mi−Ni | (3.2) |
with
Mi=(PiSi0I),Ni=(Ri+SiSiI0), |
then Wi=M−1iNi. Therefore, we can get comparison results for the double splitting (3.1) by investigating the splitting (3.2).
Theorem 3.1. Let A1 and A2 be K-monotone matrices, the splittings (3.1) be K-nonnegative and convergent. Suppose A−12≥KA−11, S2≥KS1 and R2+S2≥KR1+S1, then
ρ(W1)≤ρ(W2). |
Proof. Firstly, it is easy to see that the splittings Ai=Mi−Ni are K-nonnegative as the splittings (3.1) are K-nonnegative. Secondly, note that
A−12=(A−120A−12I)≥K(A−110A−11I)=A−11≥K0 |
and
N2=(R2+S2S2I0)≥K(R1+S1S1I0)=N1 |
hold under the assumptions. Hence, it follows from [9,Theorem 3.13] that ρ(W1)≤ρ(W2).
The conditions S2≥KS1 and R2≥KR1 imply S2≥KS1 and R2+S2≥KR1+S1, so from Theorem 3.1, we have the following corollary.
Corollary 3.2. Let A1 and A2 be K-monotone matrices, the splittings (3.1) be K-nonnegative and convergent. Suppose A−12≥KA−11, S2≥KS1 and R2≥KR1, then
ρ(W1)≤ρ(W2). |
Remark 3.3. When we pay our attention to the particular proper cone K=Rn+, then Theorem 3.1 and Corollary 3.2 are Theorem 3.12 and Corollary 3.13 in [16], respectively.
The following example shows that the conditions that the splittings (3.1) are convergent cannot be dropped in Theorems 3.1.
Example 3.4. Let K={x∈R3|(x22+x23)12<x1}. Assume that
A=(−1200−11054001454),P1=(−400−120003)andP2=(−200−120003). |
Then we have
A1=(200310520034154)andA2=(100310520034154). |
If A1 and A2 are splitted as
A1=P1−R1−S1andA2=P2−R2−S2, | (3.3) |
respectively, here
R1=(−300−25−1400−38−38),S1=(−300−910−1400−38−38) |
and
R2=(−3200−25−1400−34−38),S2=(−3200−910−14000−38). |
It is easy to see that
A−11=(1200−3502503250−225415) |
and
A−12=(100−3252503125−225415), |
i.e., A1 and A2 are K-monotone matrices, although A1 and A2 are not monotone matrices. By calculating, we have
P−11R1=(3400740−1800−18−18),P−11S1=(3400−340−1800−18−18) |
and
P−12R2=(3400740−1800−14−18),P−12S2=(3400−340−18000−18). |
Here the splittings (3.3) are not nonnegative double splittings, but K-nonnegative double splittings. It is easy to verify that A−12≥KA−11, S2≥KS1 and R2+S2≥KR1+S1, but ρ(W1)>1 and ρ(W2)>1. In fact, we have
ρ(W1)=1.3187=ρ(W2). |
In particular, if we restrict our discussion on the different K-nonnegative double splittings of one K-monotone matrix A, then from Theorem 3.1, Corollary 3.2 and [9,Theorem 3.5], the following corollaries are obtained.
Corollary 3.5. Let A be K-monotone matrix, the splittings A=P1−R1−S1=P2−R2−S2 be K-nonnegative and convergent. Suppose S2≥KS1 and R2+S2≥KR1+S1, then
ρ(W1)≤ρ(W2). |
Corollary 3.6. Let A be K-monotone matrix, the splittings A=P1−R1−S1=P2−R2−S2 be K-nonnegative and convergent. Suppose S2≥KS1 and R2≥KR1, then
ρ(W1)≤ρ(W2). |
Corollary 3.5 and 3.6 are just Theorem 2 and Corollary 1 in [19], respectively. In summary, Theorem 3.1 extends some results in [16] and [19].
In what follows, taking the inverses of P1 and P2 into account, we will derive another comparison theorem. Note that for i=1,2,
M−1i=(P−1i−P−1iSi0I). |
Hence, M−11≥KM−12 if P−11≥KP−12 and P−11S1≤KP−12S2. If we assume A1≥KA2 additionally, then the conditions of [9,Theorem 3.15] are satisfied. Therefore, from [9,Theorem 3.15], we have the following comparison result.
Theorem 3.7. Let A1 and A2 be K-monotone matrices, the splittings (3.1) be K-nonnegative and convergent. Suppose A1≥KA2, P−11≥KP−12 and P−11S1≤KP−12S2, then
ρ(W1)≤ρ(W2). |
If we turn our attention to the particular proper cone K=Rn+, then following conclusion is a direct consequence of Theorem 3.7.
Corollary 3.8. Let A1 and A2 be monotone matrices, the splittings (3.1) be nonnegative and convergent. Suppose A1≥A2, P−11≥P−12 and P−11S1≤P−12S2, then
ρ(W1)≤ρ(W2). |
Moreover, if we consider the different nonnegative double splittings of one matrix A, then from Theorem 3.7, Corollary 3.8, the following corollaries are obtained.
Corollary 3.9. Let A be K-monotone matrix, the splittings A=P1−R1−S1=P2−R2−S2 be K-nonnegative and convergent. Suppose P−11≥KP−12 and P−11S1≤KP−12S2, then
ρ(W1)≤ρ(W2). |
Remark 3.10. Corollary 3.9 extends [7,Theorem 3.1 (ii)] and [7,Theorem 3.3 (ii)].
Corollary 3.11. Let A be monotone matrices, the splittings A=P1−R1−S1=P2−R2−S2 be nonnegative and convergent. Suppose P−11≥P−12 and P−11S1≤P−12S2, then
ρ(W1)≤ρ(W2). |
Remark 3.12. We assume in Corollary 3.11 that the splittings A=P1−R1−S1=P2−R2−S2 be nonnegative and convergent, while it assumed that A=P1−R1−S1 be regular, A=P2−R2−S2 be nonegative and both be convergent in [16,Theorem 3.9]. So Corollary 3.11 is a new comparison results for different nonnegative double splittings of one monotone matrix, which has weaker conditions than Theorem 3.9 in [16].
The regular splitting A=P1−R1−S1 is nonnegative, but not vice versa. The following example shows that the inequality ρ(W1)≤ρ(W2) holds for nonnegative splittings A=P1−R1−S1=P2−R2−S2 of {one monotone matrix A } instead of the regular splitting A=P1−R1−S1 and the nonnegative splitting A=P2−R2−S2.
Example 3.13. Let the monotone matrix
A=(4−2−25) |
be splitted as A=P1−R1−S1=P2−R2−S2 with
P1=(5016),R1=(11234),S1=(01114) |
and
P2=(5026),R2=(11212),S2=(01212). |
Some calculations yield
A−1=(516181814),P−11=(150−13016)andP−12=(150−11516). |
It should be noted that both splittings A=P1−R1−S1=P2−R2−S2 are nonnegative splittings, not regular splittings. It is easy to see that
P−11S1=(015161120)≤(01513160)=P−12S2. |
It follows from Corollary 3.11 that ρ(W1)≤ρ(W2). In fact, we have
ρ(W1)=0.6751<0.7172=ρ(W2). |
In this paper, we established the comparison results for two K-nonnegative double splittings of different K-monotone matrices, the obtained results generalized the corresponding results in [7,16,19].
This work was supported by the Natural Science Foundation of Northwest Normal University (No. NWNU-LKQN-17-5), the Postgraduate Research Funding Project of Northwest Normal University (No. 2020KYZZ001118) and the National Natural Science Foundation of China (No. 61967014).
The authors declare no conflict of interest.
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