Some results on a generalized alternating iterative method

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Abstract

Climent and Perea [J.-J. Climent, C. Perea, Convergence and comparison theorems for a generalized alternating iterative method, Appl. Math. Comput. 143 (2003) 1–14] introduced a generalized alternating iterative method. In this paper, we establish convergence results for a nonsingular H-matrix, upper bound to the spectral radius of iterative matrix and comparison theorem for a monotone matrix. Moreover, we give some numerical examples to show our results.

Introduction

Firstly, let us introduce some alternating iterative methods which are used for the numerical solution of the real linear systemAx=b,where ARn×n is a given nonsingular matrix, xRn is unknown vector and bRn is given vector.

In paper [1], Benzi and Szyld introduced the following stationary alternating iterative method:

For x(0), k=0,1,2,,x(k+12)=M-1Nx(k)+M-1b,x(k+1)=P-1Qx(k+12)+P-1b,where A=M-N=P-Q are two splittings of A. Thusx(k+1)=Rx(k)+P-1(QM-1+I)b,whereR=P-1QM-1N.

In paper [2], Climent and Perea introduced the following nonstationary alternating iterative method:

For x(0), k=0,1,2,,x(k+12)=(M-1N)μ(k)x(k)+j=0μ(k)-1(M-1N)jM-1b,x(k+1)=(P-1Q)ν(k)x(k+12)+j=0ν(k)-1(P-1Q)jP-1b,where A=M-N=P-Q are two splittings of A. Thusx(k+1)=Sx(k)+(P-1Q)ν(k)j=0μ(k)-1(M-1N)jM-1+j=0ν(k)-1(P-1Q)jP-1b,whereS=(P-1Q)ν(k)(M-1N)μ(k).

Let A=Ml-Nl(l=1,2,,p), where Ml is nonsingular matrices.

In paper [2], Climent and Perea also introduced a generalized alternating iterative method:

For x(0), k=0,1,2,,x(k+lp)=(Ml-1Nl)μ(l,k)x(k+l-1p)+j=0μ(l,k)-1(Ml-1Nl)jMl-1b.Thusx(k+1)=Tx(k)+i=1pl=1p-i(Mp-l+1-1Np-l+1)μ(p-l+1,k)j=0μ(i,k)-1(Mi-1Ni)jMi-1b,whereT=l=1p(Mp-l+1-1Np-l+1)μ(p-l+1,k),l=10(Mp-l+1-1Np-l+1)μ(p-l+1,k)=I.

In Section 2, we introduce some results about the convergence of a generalized alternating iterative method when matrix A is a nonsingular H-matrix using H-splittings. In Section 3, we introduce upper bound to the spectral radius of the iterative matrix when matrix A is a nonsingular H-matrix using H-splittings. In Section 4, we introduce comparison result when A is monotone and the splittings are nonnegative.

Section snippets

Convergence theorems

Let A be an n×n real matrix, by A0 we denote the matrix whose entries are nonnegative.

In the following definitions we present the different types of splittings that appear in this paper.

Definition 2.1

Let A=B-C be a splitting of A. If B-10,B-1C0, then A = B  C is weak nonnegative splitting of the first type. If B-10,CB-10, then is weak nonnegative splitting of the second type [3]. If B-10,C0, then is regular splitting [4]. If B-10,B-1C0,CB-10, then is nonnegative splitting [5]. If B is an M-matrix, C0

Upper bound to the spectral radius of the iterative matrix

Lemma 3.1

[2]

Let ARn×n be a nonsingular and monotone matrix. If A=Ml-Nl(l=1,2,,p) are nonnegative and μ(l,k)=μ(l), then the following upper bound to the spectral radius of iterative matrix holdsρl=1p(Mp-l+1-1Np-l+1)μ(l)min1lp{ρ((Ml-1Nl)μ(l))}.

Theorem 3.1

Let ARn×n be a nonsingular H-matrix. If A=Ml-Nl(l=1,2,,p) are all H-splittings and μ(p-l+1,k)=μ(l), then the following upper bound to the spectral radius of iterative matrix holdsρ(T)min1lp{ρ((Ml-1|Nl|)μ(l))}.

Proof

LetBl=Mp-l+1-|Np-l+1|,l=1,2,,p.

FromA=Ml-Nl,l=

Comparison theorem

Lemma 4.1

[2]

Let ARn×n be a nonsingular and monotone matrix. If A=Ml-Nl(l=1,2,,p) are weak nonnegative of the first (respectively, second) type and μ(l,k)=μ(l), then the generalized alternating iterative method converges to the unique solution of system (1.1). Furthermore, the unique splitting A=B-C induced by matrix T is also weak nonnegative of the first (respectively, second) type.

Lemma 4.2

[11]

Let A-10, A=M1-N1=M2-N2 are all weak nonnegative splittings of the first type. If one of the following conditions

  • (1)

    N1N2;

  • (2)

    M1-1

Acknowledgement

The authors would like to thank the referees for their valuable comments and suggestions, which greatly improved the original version of this paper.

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