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. 2017 Jun 27;2017(1):152. doi: 10.1186/s13660-017-1428-6

Two S-type Z-eigenvalue inclusion sets for tensors

Yanan Wang 1, Gang Wang 1,
PMCID: PMC5487936  PMID: 28680255

Abstract

In this paper, we present two S-type Z-eigenvalue inclusion sets involved with a nonempty proper subset S of N for general tensors. It is shown that the new sets are tighter than those provided by Wang et al. (Discrete Contin. Dyn. Syst., Ser. B 22(1):187-198, 2017). Furthermore, we obtain upper bounds for the spectral radius of weakly symmetric nonnegative tensors, which are sharper than existing results.

Keywords: Z-eigenvalue inclusion sets, weakly symmetric nonnegative tensors, largest Z-eigenvalue

Introduction

Let C (R) be the set of all complex (real) numbers and N={1,2,,n}. A real m-order n-dimensional tensor A consists of nm elements:

A=(ai1i2im),ai1i2imR,i1,i2,,imN.

A is called nonnegative (positive) if ai1i2im0 (ai1i2im>0).

The following two definitions of eigenpairs were introduced by Qi [2] and Lim [3], respectively.

Definition 1

Let A be a tensor with order m and dimension n. If there exist a nonzero vector x=[x1,x2,,xn]TCn and a number λC satisfying the equation

Axm1=λx[m1],

then (λ,x) is called an eigenvalue-eigenvector of A, where

Axm1=(i2,,im=1naii2imxi2xim)1in

and x[m1]=[x1m1,x2m1,,xnm1]T. (λ,x) is called an H-eigenpair of A if they are all real.

Definition 2

Let A be a tensor with order m and dimension n. We say that (λ,x)C×(Cn{0}) is an E-eigenpair of A if

Axm1=λxandxTx=1.

(λ,x) is called a Z-eigenpair if they are real.

As we know, the Z-eigenpair for nonnegative tensors plays an important role in some applications such as high order Markov chains [4, 5] and best rank-one approximations in statistical data analysis [6, 7]. Some effective algorithms for finding Z-eigenvalue and the corresponding eigenvector of tensors have been implemented [8, 9]. Generally, we cannot judge that Z-eigenvalues generated by the above algorithms are the largest Z-eigenvalues. Therefore, the following definitions were introduced and used by Qi [2] and by Chang [8] for studying important characterizations of the largest Z-eigenvalue of a tensor.

Definition 3

[2]

Let A be a tensor with order m and dimension n. We define σ(A) the Z-spectrum of A by the set of all Z-eigenvalues of A. Assume σ(A). Then the Z-spectral radius of A is denoted as

ρ(A)=max{|λ|:λσ(A)}.

Definition 4

[8]

Let A be a tensor with order m and dimension n. A is weakly symmetric if the associated homogeneous polynomial Axm satisfies

Axm=mAxm1.

Based on the weakly symmetric condition, Chang et al. [8] established the equivalent relation between the largest Z-eigenvalue and Z-spectral radius of nonnegative tensors. On the basis of the relationship between the Gelfand formula and the spectral radius, Song et al. [10] gave the Z-spectral radius bound for nonnegative tensors. He et al. [1113] presented the largest Z-eigenvalue for weakly symmetric nonnegative (positive) tensors. Furthermore, Li et al. [14] improved some bounds for the eigenvector and Z-spectral radius. For general tensors, Wang et al. [1] established Gershgorin-type Z-eigenvalue inclusion theorems. Moreover, Zhao et al. [15] extended some results of [1]. Very recently, Li et al. [16] introduced an S-partition method and established S-type H-eigenvalue localization sets, which may reduce computations. Therefore, we want to use the S-partition method and propose S-type Z-eigenvalue inclusion sets for general tensors.

The remainder of this paper is organized as follows. In Section 2, we establish S-type Z-eigenvalue inclusion sets for general tensors by breaking N into a disjoint subset S and its complement, which is proved to be tighter than the sets in [1]. In Section 3, as applications of the above results, we propose some new bounds on the Z-spectral radius of a weakly symmetric tensor and show that they are tighter than the existing bounds in [1, 8, 1012, 14] by Example 2.

S-Type Z-eigenvalue inclusion sets

In this section, we give S-type Z-eigenvalue inclusion sets of the tensor A by dividing N into disjoint subsets S and , where is the complement of S in N. Furthermore, we establish comparisons among different Z-eigenvalue inclusion sets.

In what follows, we introduce a lemma for a general tensor.

Lemma 1

Theorem 3.1 of [1]

Let A be a tensor with order m and dimension n2. Then all Z-eigenvalues of A are located in the union of the following sets:

σ(A)K(A)=iNKi(A),

where Ki(A)={zC:|z|Ri(A)} and Ri(A)=i2,,imN|aii2im|.

By using the partition technique in [16], we present the following notations. Let A be an mth order n-dimensional tensor and S be a nonempty proper subset of N. Set

ΔN:={(i2,i3,,im):each ijN for j=2,,m},ΔS:={(i2,i3,,im):each ijS for j=2,,m},ΔS=ΔNΔS.

Then

Ri(A)=i2,,imN|aii2im|=RiΔS(A)+RiΔS(A),iS,

where

RiΔS(A)=(i2,,im)ΔS|aii2im|,RiΔS(A)=(i2,,im)ΔS|aii2im|.

Theorem 1

Let A be a tensor with order m and dimension n2 and S be a nonempty proper subset of N. Then all Z-eigenvalues of A are located in the union of the following sets:

σ(A)GS(A)=(iS,jS¯Gi,jS(A))(iS¯,jSGi,jS¯(A)),

where

Gi,jS(A)={zC:|z|(|z|RjΔS(A))Ri(A)RjΔS(A)},Gi,jS¯(A)={zC:|z|(|z|RjΔS¯(A))Ri(A)RjΔS¯(A)}.

Proof

Let λ be a Z-eigenvalue of A with corresponding eigenvector x, i.e.,

Axm1=λx,xTx=1. 1

Let |xt|=max{|xi|:iS}, |xs|=max{|xi|:iS¯}. Then at least one of |xt| and |xs| is nonzero. We next divide the proof into three parts.

(i) If xtxs0 and |xs||xt|, then |xs|=max{|xi|:iN}>0. From equality (1), we have

λxs=(i2,,im)ΔSasi2imxi2xim+(i2,,im)ΔSasi2imxi2xim.

Noting that |xt|m1|xt|1, |xs|m1|xs|1 and taking modulus in the above equation, one has

|λ||xs|(i2,,im)ΔS|asi2im||xi2||xim|+(i2,,im)ΔS|asi2im||xi2||xim|(i2,,im)ΔS|asi2im||xt|m1+(i2,,im)ΔS|asi2im||xs|m1RsΔS(A)|xt|+RsΔS(A)|xs|. 2

Dividing both sides by |xs| in (2), we get

|λ|RsΔS(A)|xt||xs|+RsΔS(A). 3

On the other hand, by (1), we obtain

|λ||xt|i2,,imN|ati2im||xi2||xim|i2,,imN|ati2im||xs|m1.

Dividing both sides by |xt| in the above inequality and from |xs|m1|xs|, one has

|λ|i2,,imN|ati2im||xs|m1|xt|i2,,imN|ati2im||xs||xt|=Rt(A)|xs||xt|. 4

Multiplying (3) by (4), we see

|λ|(|λ|RsΔS(A))Rt(A)RsΔS(A),

thus, λGt,sS(A)GS(A).

(ii) If xtxs0 and |xt||xs|, then |xt|=max{|xi|:iN}. Similar to the proof of (i), we can get that

|λ|RtΔS¯(A)RtΔS¯(A)|xs||xt|

and

|λ|Rs(A)|xt||xs|,

which implies

|λ|(|λ|RtΔS¯(A))Rs(A)RtΔS¯(A),

that is, λGs,tS¯(A)GS(A).

(iii) If xtxs=0, without loss of generality, let |xt|=0 and |xs|0. It follows from (3) that

|λ|RsΔS(A)0.

For any iS, we have

|λ|(|λ|RsΔS(A))0Ri(A)RsΔS(A),

that is, λGi,sS(A)GS(A).

The result follows from (i), (ii) and (iii). □

Corollary 1

Let A be a tensor with order m and dimension n2, and S be a nonempty proper subset of N. Then

σ(A)GS(A)K(A),

where K(A) is a Z-eigenvalue inclusion set in Lemma 1.

Proof

Let z be a point of K(A). Two cases are discussed as follows:

(i) There exist tS and sS¯ such that zGt,sS(A), i.e.,

|z|(|z|RsΔS(A))Rt(A)RsΔS(A). 5

If Rt(A)RsΔS(A)=0, then z=0 or |z|RsΔS(A)0. Hence, zKt(A)Ks(A). Otherwise, it follows from (5) that

|z|Rt(A)|z|RsΔS(A)RsΔS(A)1. 6

Furthermore,

|z|Rt(A)1or|z|RsΔS(A)RsΔS(A)1,

that is, zKt(A) or zKs(A). This implies zKt(A)Ks(A)K(A).

(ii) There exist sS¯ and tS such that zGs,tS¯(A), i.e.,

|z|(|z|RtΔS¯(A))Rs(A)RtΔS¯(A),

similar to (i), we obtain zKs(A)Kt(A)K(A). So, the result holds. □

Based on an exact characterization of (1), another S-type Z-eigenvalue localization set involved with a proper subset S of N is given below.

Theorem 2

Let A be a tensor with order m and dimension n2 and S be a nonempty proper subset of N. Then

σ(A)ΩS(A)=(iS,jS¯(Ωi,jS(A)Φi,jS(A)))(iS¯,jS(Ωi,jS¯(A)Φi,jS¯(A))),

where

Ωi,jS(A)={zC:(|z|RiΔS(A))(|z|RjΔS(A))RiΔS(A)RjΔS(A)},Ωi,jS¯(A)={zC:(|z|RiΔS¯(A))(|z|RjΔS¯(A))RiΔS¯(A)RjΔS¯(A)},Φi,jS(A)={zC:|z|RiΔS(A),|z|RjΔS(A)},Φi,jS¯(A)={zC:|z|RiΔS¯(A),|z|RjΔS¯(A)}.

Proof

Let λ be a Z-eigenvalue of A with corresponding eigenvector x. Let |xt|=maxiS|xi| and |xs|=maxiS¯|xi|. Similar to the proof of Theorem 1, we also divide the proof into three cases as follows.

(i) If xtxs0 and |xs||xt|, then |xs|=max{|xi|:iN}. By an exact characterization of (1), one has

|λ||xt|(i2,,im)ΔS|ati2im||xi2||xim|+(i2,,im)ΔS|ati2im||xi2||xim|RtΔS(A)|xt|m1+RtΔS(A)|xs|m1RtΔS(A)|xt|+RtΔS(A)|xs|,

since |xt|m1|xt|1, |xs|m1|xs|1 hold. Furthermore,

(|λ|RtΔS(A))|xt|RtΔS(A)|xs|. 7

When |λ|>RsΔS(A) or |λ|>RtΔS(A) holds, multiplying (2) by (7), we see

(|λ|RtΔS(A))(|λ|RsΔS(A))RtΔS(A)RsΔS(A).

This shows λΩt,sS(A)ΩS(A). Otherwise, when |λ|RsΔS(A) and |λ|RtΔS(A) hold, one has λΦt,sS(A)ΩS(A).

(ii) If xtxs0 and |xt||xs|, then |xt|=max{|xi|:iN}. Similarly, by equality (1), we get

(|λ|RtΔS¯(A))|xt|RtΔS¯(A)|xs|

and

(|λ|RsΔS¯(A))|xs|RsΔS¯(A)|xt|.

When |λ|RsΔS¯(A)>0 or |λ|RtΔS¯(A)>0 holds, we obtain

(|λ|RsΔS¯(A))(|λ|RtΔS¯(A))RtΔS¯(A)RsΔS¯(A),

which implies λΩs,tS¯(A)ΩS(A). When |λ|RsΔS¯(A)0 and |λ|RtΔS¯(A)0 hold, one has λΦs,tS¯(A)ΩS(A).

(iii) If |xt||xs|=0, we could assume that |xs|=0 and |xt|0. It follows from (7) that

|λ|RtΔS(A)0.

For any jS¯, when |λ|RjΔS(A)>0 holds, we get

(|λ|RtΔS(A))(|λ|RjΔS(A))RtΔS(A)RjΔS(A),

that is, λΩt,jS(A)ΩS(A); otherwise, when |λ|RjΔS(A)0 holds, λΦt,jS(A)ΩS(A). It follows from (i), (ii) and (iii) that the results hold. □

Corollary 2

Let A be a tensor with order m and dimension n2.

  • (I)
    If there exists SN such that
    • (i)
      for all iS, jS¯, RjΔS(A)|z|Ri(A) and RiΔS(A)RjΔS(A)>0 hold;
    • (ii)
      for all iS¯, jS, RjΔS¯(A)|z|Ri(A) and RiΔS¯(A)RjΔS¯(A)>0 hold, then
      GS(A)ΩS(A).
  • (II)
    If there exists SN such that
    • (i)
      for all iS, jS¯, |z|min{RiΔS(A),RjΔS(A)} holds; or |z|max{Ri(A),RjΔS(A)} and RiΔS(A)RjΔS(A)>0 are satisfied;
    • (ii)
      for all iS¯, jS, |z|min{RiΔS¯(A),RjΔS¯(A)} holds; or |z|max{Ri(A),RjΔS¯(A)} and RiΔS¯(A)RjΔS¯(A)>0 are satisfied, then
      ΩS(A)GS(A).

Proof

(I) Let zGS(A), then zGi,jS(A) or zGi,jS¯(A). We divide the proof into two parts.

(i) Suppose that zGi,jS(A), then there exist tS and sS¯ such that zGt,sS(A).

If Rt(A)=0, then RtΔS(A)=RtΔS(A)=0, we have z=0 or |z|RsΔS(A)0. Hence, zΩt,sS(A).

If Rt(A)RsΔS(A)>0, by (6), we have

|z|Rt(A)1or|z|RsΔS(A)RsΔS(A)1.

When |z|RsΔS(A)RsΔS(A)0 and |z|Rt(A)1, letting a=|z|, b=RtΔS(A), c=0, d=RtΔS(A)>0, from Lemma 5 in [16] and (6), we get

|z|RtΔS(A)RtΔS(A)|z|RsΔS(A)RsΔS(A)|z|Rt(A)|z|RsΔS(A)RsΔS(A)1.

Furthermore,

(|z|RtΔS(A))(|z|RsΔS(A))RtΔS(A)RsΔS(A),

which implies zΩt,sS(A). So,

zGt,sS(A)Ωt,sS(A)andGS(A)ΩS(A).

(ii) Suppose that zGS¯(A), then there exist sS¯ and tS such that zGs,tS¯(A). Similar to the proof of (i), the conclusion holds.

(II) Let zΩS(A), then ziS,jS¯Ωi,jS(A)Φi,jS(A) or ziS¯,jSΩi,jS¯(A)Φi,jS¯(A). We also divide the proof into two parts.

(i) Suppose that ziS,jS¯Ωi,jS(A)Φi,jS(A), then there exist tS and sS¯ such that zΩt,sS(A) or zΦt,sS(A).

If zΦt,sS(A), that is, |z|RtΔS(A) and |z|RsΔS(A), then it is easy to get that ΩS(A)GS(A).

If zΩt,sS(A), that is,

(|z|RtΔS(A))(|z|RsΔS(A))RtΔS(A)RsΔS(A). 8

We assume RtΔS(A)RsΔS(A)>0, it follows from (8) that

|z|RtΔS(A)RtΔS(A)|z|RsΔS(A)RsΔS(A)1. 9

When |z|RsΔS(A)RsΔS(A)0 and |z|Rt(A)1, letting a=|z|, b=RtΔS(A), c=0, d=RtΔS(A)>0, from Lemma 5 in [16] and (9), we obtain

|z|Rt(A)|z|RsΔS(A)RsΔS(A)|z|RtΔS(A)RtΔS(A)|z|RsΔS(A)RsΔS(A)1.

Moreover,

|z|(|z|RsΔS(A))Rt(A)RsΔS(A),

which implies zGt,sS(A). Hence,

zΩt,sS(A)Gt,sS(A)andΩS(A)GS(A).

(ii) Suppose that ziS¯,jS(Ωi,jS¯(A)Φi,jS¯(A)). Similar to the proof of (i), we arrive at the result. □

Owing to the uncertainty of S, we cannot compare GS(A) with ΩS(A) theoretically without the conditions of Corollary 2. Example 1 shows that they are different, since Gi,jS (A)(Gi,jS¯(A)) and Ωi,jS (A)(Ωi,jS¯(A)) do not include each other.

Example 1

Let A=(aijk)R[3,3] be a tensor with elements defined as follows:

aijk={a111=1;a121=1;a122=1;a133=1;a211=1;a213=1;a221=2;a233=1;a311=3;a322=1;a332=1;a333=1;aijk=0,otherwise.

According to Lemma 1, we have

K(A)=iNKi(A)={λC:|λ|6}.

Let S={1}. Obviously, S¯={2,3}. From Theorem 1, one has

σ(A)GS(A)={λC:|λ|3+572},

where

G1,2S(A)={λC:|λ|2+22},G1,3S(A)={λC:|λ|3+572},G2,1S¯(A)={λC:|λ|1+11},G3,1S¯(A)={λC:|λ|1+13}.

And it follows from Theorem 2 that

σ(A)ΩS(A)={λC:|λ|2+10},

where

Ω1,2S(A)={λC:|λ|5+212},Ω1,3S(A)={λC:|λ|2+10},Ω2,1S¯(A)={λC:|λ|3+332},Ω3,1S¯(A)={λC:|λ|5}.

Bounds on the largest Z-eigenvalue of weakly symmetric nonnegative tensors

In this section, by Theorem 1 and Theorem 2, we give new sharp upper bounds for weakly symmetric nonnegative tensors, which improve the results of [1, 8, 1012, 14] in a sense. We start this section with some fundamental results of nonnegative tensors [8].

Lemma 2

Theorem 3.11 of [8]

Assume that A is a weakly symmetric nonnegative tensor. Then ρ(A)=λ, where λ denotes the largest Z-eigenvalue.

Theorem 3

Suppose that an m-order n-dimensional nonnegative tensor A is weakly symmetric and S is a nonempty proper subset of N. Then

ρ(A)uS=max{uS,uS¯},

where

uS=maxiS,jS¯12{RjΔS(A)+(RjΔS(A))2+4Ri(A)RjΔS(A)},uS¯=maxiS¯,jS12{RjΔS¯(A)+(RjΔS¯(A))2+4Ri(A)RjΔS¯(A)}.

Proof

According to Lemma 2, we assume that ρ(A)=λ is the largest Z-eigenvalue of A. From Theorem 1, we get

ρ(A)iS,jS¯Gi,jS(A)

or

ρ(A)iS¯,jSGi,jS¯(A).

For the case that ρ(A)iS,jS¯Gi,jS(A), there exist tS, sS¯ such that

(ρ(A)RsΔS(A))ρ(A)Rt(A)RsΔS(A). 10

Solving ρ(A) in inequality (10), we obtain

ρ(A)12{RsΔS(A)+(RsΔS(A))2+4Rt(A)RsΔS(A)}. 11

Furthermore,

ρ(A)maxiS,jS¯12{RjΔS(A)+(RjΔS(A))2+4Ri(A)RjΔS(A)}. 12

For another case that ρ(A)iS¯,jSGi,jS¯(A), we also get

ρ(A)maxiS¯,jS12{RjΔS¯(A)+(RjΔS¯(A))2+4Ri(A)RjΔS¯(A)}. 13

It follows from (12) and (13) that the upper bound holds. □

On the basis of Theorem 2, we obtain another sharp bound of the largest Z-eigenvalue for a weakly symmetric nonnegative tensor.

Theorem 4

Suppose that an m-order n-dimensional nonnegative tensor A is weakly symmetric and S is a nonempty proper subset of N. Then

ρ(A)vS=max{maxiS,jS¯{vˆS,v˜S},maxiS¯,jS{vˆS¯,v˜S¯}},

where

vˆS=miniS,jS¯{RiΔS(A),RjΔS(A)},v˜S=12{RiΔS(A)+RjΔS(A)+(RiΔS(A)RjΔS(A))2+4RiΔS(A)RjΔS(A)}.

Proof

Similar to the proof of Theorem 3, according to Lemma 2 and Theorem 2, the conclusion holds. □

Remark 1

For a weakly symmetric nonnegative tensor A, as shown in the proofs of Theorem 3 and Theorem 4, it is not hard to obtain that

uSmaxiNRi(A)andvSmaxiNRi(A).

Next, we take the following example to show the efficiency of our new upper bounds.

Example 2

[12]

Consider 3 order 3 dimensional tensor A=(aijk) defined by

aijk={a111=12;a222=1;a333=3;aijk=13,otherwise.

By computation, we get (ρ(A),x)=(3.1970,(0.1927,0.1990,0.9609)).

From Proposition 3.3 of [8], we have

ρ(A)9.8150.

From Corollary 4.5 of [10], we have

ρ(A)5.6667.

From Theorem 2.7 of [11], we have

ρ(A)5.6079.

From Theorem 7 of [12], we have

ρ(A)5.3654.

From Theorem 3.3 of [14], we have

ρ(A)5.5494.

From Theorem 4.7 of [1], we have

ρ(A)5.2624.

Let S={3}, then S¯={1,2}. By Theorem 3, we obtain

ρ(A)5.2624;

according to Theorem 4, we obtain

ρ(A)5.0596.

Conclusions

In this paper, we consider the Z-eigenvalue for general tensors and obtain two new S-type Z-eigenvalue inclusion sets. According to the above results, we present upper bounds on the spectral radius of weakly symmetric nonnegative tensors and show that the results are sharper than the upper bounds provided by [1, 8, 1012, 14] in Example 2.

Acknowledgements

The authors are very indebted to the reviewers for their valuable comments and corrections, which improved the original manuscript of this paper. This research is supported by the Natural Science Foundation of China (11671228, 61403228) and the Natural Science Foundation of Shandong Province (ZR2016AM10).

Footnotes

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

All authors contributed equally to this work. All authors read and approved the final manuscript.

Publisher’s Note

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