Aquaculture in floating cages in Lake Maninjau has recorded significant growth, even as the largest contributor to total annual aquacultural production in West Sumatra Province. In this study, we assessed the output of floating net cages in Lake Maninjau, Indonesia. We analyzed the characteristics of fish farming, fish fry, feed supply, and production, and the challenges and opportunities for increasing aquacultural production in the future. We used purposive sampling in this study with an interview questionnaire to obtain information from 80 fish-cultivating households in Lake Maninjau. We then used descriptive statistical methods of data analysis. The results showed that in 2018, there were 17596 floating net cages. The majority (n = 33, 41.25%) of fish farmers have 20 to 40 floating net cages per household, and 67.5% (n = 54) are used for tilapia cultivation. We recorded that 77.5% (n = 62) of fingerlings were sourced from private hatcheries. Six companies supply commercial feed pellets in an amount of 2000 tons per month for aquaculture activities. Japfa Comfeed Indonesia Ltd. provides 35% of the feed. The fish species cultivated were Nile tilapia, common carp, giant gourami, Clarias catfish, and pangasius catfish, with gross yields (kg/m3/cycle) of 12, 11.5, 10.4, 7.88, and 8.89, respectively. Fish farmers face challenging conditions: poor water quality, mass mortality of tilapia, high fish feed prices and low fish sale prices, and noncash payments. We recommend ensuring the development of floating net cages in Lake Maninjau for a more sustainable future. Therefore, it is necessary to operate as many as 6000 nets to meet guidelines for carrying capacity and cultivation based on the Regional Regulation of Agam Regency Number 5 of 2014 concerning the management of Maninjau Lake, which is accessible proportionally by eight villages. Giant gourami is prioritized for cultivation because it is resistant to poor water quality and high market prices.
Citation: Junaidi, Hafrijal Syandri, Azrita, Abdullah Munzir. Floating cage aquaculture production in Indonesia: Assessment of opportunities and challenges in Lake Maninjau[J]. AIMS Environmental Science, 2022, 9(1): 1-15. doi: 10.3934/environsci.2022001
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Aquaculture in floating cages in Lake Maninjau has recorded significant growth, even as the largest contributor to total annual aquacultural production in West Sumatra Province. In this study, we assessed the output of floating net cages in Lake Maninjau, Indonesia. We analyzed the characteristics of fish farming, fish fry, feed supply, and production, and the challenges and opportunities for increasing aquacultural production in the future. We used purposive sampling in this study with an interview questionnaire to obtain information from 80 fish-cultivating households in Lake Maninjau. We then used descriptive statistical methods of data analysis. The results showed that in 2018, there were 17596 floating net cages. The majority (n = 33, 41.25%) of fish farmers have 20 to 40 floating net cages per household, and 67.5% (n = 54) are used for tilapia cultivation. We recorded that 77.5% (n = 62) of fingerlings were sourced from private hatcheries. Six companies supply commercial feed pellets in an amount of 2000 tons per month for aquaculture activities. Japfa Comfeed Indonesia Ltd. provides 35% of the feed. The fish species cultivated were Nile tilapia, common carp, giant gourami, Clarias catfish, and pangasius catfish, with gross yields (kg/m3/cycle) of 12, 11.5, 10.4, 7.88, and 8.89, respectively. Fish farmers face challenging conditions: poor water quality, mass mortality of tilapia, high fish feed prices and low fish sale prices, and noncash payments. We recommend ensuring the development of floating net cages in Lake Maninjau for a more sustainable future. Therefore, it is necessary to operate as many as 6000 nets to meet guidelines for carrying capacity and cultivation based on the Regional Regulation of Agam Regency Number 5 of 2014 concerning the management of Maninjau Lake, which is accessible proportionally by eight villages. Giant gourami is prioritized for cultivation because it is resistant to poor water quality and high market prices.
Consider the following mth degree homogeneous polynomial of n variables f(x) as
f(x)=∑i1,i2,…,im∈Nai1i2⋯imxi1xi2⋯xim, | (1.1) |
where x=(x1,x2,⋯,xn)∈Rn. When m is even, f(x) is called positive definite if
f(x)>0,foranyx∈Rn,x≠0. |
The homogeneous polynomial f(x) in (1.1) can be expressed as the tensor product of a symmetric tensor A with m-order, n-dimension and xm defined by
f(x)≡Axm=∑i1,i2,…,im∈Nai1i2⋯imxi1xi2⋯xim, | (1.2) |
where
A=(ai1i2⋯im),ai1i2⋯im∈C(R),ij=1,2,⋯,n,j=1,2,⋯,m, |
C(R) presents complex (real) number fields. The symmetric tensor A is called positive definite if f(x) in (1.2) is positive definite [1]. Moreover, a tensor I=(δi1i2⋯im) is called the unit tensor[2], where
δi1i2⋯im={1,ifi1=⋯=im,0,otherwise. |
The positive definiteness of tensor has received much attention of researchers' in recent decade [3,4,5]. Based on the Sturm theorem, the positive definiteness of a multivariate polynomial form can be checked for n≤3 [6]. For n>3 and m≥4, it is difficult to determine the positive definiteness of f(x) in (2). Ni et al.[1] provided an eigenvalue method for identifying positive definiteness of a multivariate form. However, all the eigenvalues of the tensor are needed in this method, thus the method is not practical when tensor order or dimension is large.
Recently, based on the criteria of H-tensors, Li et al.[7] provided a practical method for identifying the positive definiteness of an even-order symmetric tensor. H-tensor is a special kind of tensors and an even order symmetric H-tensor with positive diagonal entries is positive definite. Due to this, we may identify the positive definiteness of a tensor via identifying H-tensor. For the latter, with the help of generalized diagonally dominant tensor, various criteria for H-tensors and M-tensors is established [8,9,10,11,12,13,14,15,16], which only depends on the elements of the tensors and is more effective to determine whether a given tensor is an H-tensor (M-tensor) or not. For example, the following result is given in [16]:
Theorem 1. Let A=(ai1⋯im) be a complex tensor with m-order, n-dimension. If
|aii⋯i|>∑i2,i3,…,im∈Nm−1∖Nm−13δii2…im=0|aii2⋯im|+∑i2i3⋯im∈Nm−13maxj∈{i2,i3,⋯,im}Λj(A)|ajj⋯j||aii2⋯im|, ∀i∈N1∪N2, |
then A is an H-tensor.
In this paper, we continue to present new criterions based on H-tensors for identifying positive definiteness of homogeneous polynomial forms. The obtained results extend the corresponding conclusions [16,17,18]. The validity of our proposed methods are theoretically guaranteed and the numerical experiments show their effciency.
In this section, some notation, definitions and lemmas are given.
Let S be a nonempty subset of N={1,2,⋯,n} and let N∖S be the complement of S in N. Given an m-order n-dimension complex tensor A=(ai1⋯im), we denote
Λi(A)=∑i2,…,im∈Nδii2…im=0|aii2⋯im|=∑i2,…,im∈N|aii2⋯im|−|aii⋯i|;N1=N1(A)={i∈N:0<|aii⋯i|=Λi(A)};N2=N2(A)={i∈N:0<|aii⋯i|<Λi(A)};N3=N3(A)={i∈N:|aii⋯i|>Λi(A)};Nm−10=Nm−1∖(Nm−12∪Nm−13);q=maxi∈N2Λi(A)−|aii⋯i|Λi(A);Pi(A)=q(∑i2,…,im∈Nm−10|aii2⋯im|+∑i2,…,im∈Nm−12|aii2⋯im|+∑i2,…,im∈Nm−13δii2…im=0|aii2⋯im|),∀i∈N3;t=maxi∈N3q(∑i2⋯im∈Nm−10|aii2⋯im|+∑i2⋯im∈Nm−12|aii2⋯im|)Pi(A)−∑i2⋯im∈Nm−13δii2⋯im=0maxj∈{i2,i3,⋯,im}Pj(A)|ajj⋯j||aii2⋯im|. |
In this paper, we always assume that neither N1 or N2 is empty. Otherwise, we assume that A satisfies: aii⋯i≠0,Λi(A)≠0,∀i∈N.
we may define the following structured tensors extended from matrices.
Definition 1. [10] Let A=(ai1i2⋯im) be an m-order n-dimension complex tensor. A is called an H-tensor if there is a positive vector x=(x1,x2,⋯,xn)T∈Rn such that
|aii⋯i|xm−1i>∑i2,…,im∈Nδii2…im=0|aii2⋯im|xi2⋯xim,∀i∈N. |
Definition 2. [2] An m-order n-dimension complex tensor A=(ai1i2⋯im) is called reducible if there exists a nonempty proper index subset I⊂N such that
ai1i2⋯im=0,∀i1∈I,∀i2,⋯,im∉I. |
Otherwise, we say A is irreducible.
Example 1. Consider the 4-order 4-dimension tensor A given
a1111=a2222=a3333=a4444=a1444=a2333=2, |
and zero elsewhere. Then ai1i2i3i4=0 for all i1∈{1,4} and for all i2,i3,i4∈{2,3}. From Definition 2, we have that A is reducible.
Definition 3. [12] Let A=(ai1i2⋯im) be an m-order n-dimension complex tensor, for i,j∈N(i≠j), if there exist indices k1,k2,⋯,kr with
∑i2,…,im∈Nδksi2…im=0,ks+1∈{i2,…,im}|aksi2⋯im|≠0,s=0,1,…,r, |
where k0=i,kr+1=j, we call that there is a nonzero elements chain from i to j.
It is shown that for any H-tensor, there exists at least one strictly diagonally dominant row [7]. Further, we have the following conclusion.
Lemma 1. [10] If A is a strictly diagonally dominant tensor, then A is an H-tensor.
Lemma 2. [7] Let A=(ai1⋯im) be a complex tensor with m-order, n-dimension. If there exists a positive diagonal matrix X such that AXm−1 is an H-tensor, then A is an H-tensor.
Lemma 3. [7] Let A=(ai1⋯im) be a complex tensor with m-order, n-dimension. If A is irreducible,
|ai⋯i|≥Λi(A),∀i∈N, |
and strictly inequality holds for at least one i, then A is an H-tensor.
Lemma 4. [12] Let A=(ai1⋯im) be a complex tensor with m-order, n-dimension. If
● (i) |aii⋯i|≥Λi(A),∀i∈N,
● (ii) N3={i∈N:|aii⋯i|>Λi(A)}≠∅,
● (iii) For any i∉N3, there exists a nonzero elements chain from i to j such that j∈N3,
then A is an H-tensor.
In this section, we give some new criteria for H-tensors.
Theorem 2. Let A=(ai1⋯im) be a complex tensor with m-order, n-dimension. If for i∈N2,
|aii⋯i|>Λi(A)Λi(A)−|aii⋯i|[q(∑i2i3⋯im∈Nm−10|aii2⋯im|+∑i2i3⋯im∈Nm−12δii2⋯im=0|aii2⋯im|)+∑i2i3⋯im∈Nm−13maxj∈{i2,i3,⋯,im}tPj(A)|ajj⋯j||aii2⋯im|], | (3.1) |
and for i∈N1, |aii⋯i|≠∑i2i3⋯im∈Nm−10δii2⋯im=0|aii2⋯im|, then A is an H-tensor.
Proof. From the definition of q, we know that 0≤q<1, q≥Λi(A)−|aii⋯i|Λi(A)(∀i∈N2), so for any i∈N3,
Pi(A)=q(∑i2,…,im∈Nm−10|aii2⋯im|+∑i2,…,im∈Nm−12|aii2⋯im|+∑i2,…,im∈Nm−13δii2…im=0|aii2⋯im|)=qΛi(A)<q|aii⋯i|, |
that is
q>Pi(A)|aii⋯i|. | (3.2) |
By the definition of Pi(A), we have
q(∑i2i3⋯im∈Nm−10|aii2⋯im|+∑i2i3⋯im∈Nm−12|aii2⋯im|)Pi(A)−∑i2i3⋯im∈Nm−13δii2⋯im=0maxj∈{i2,i3,⋯,im}Pj(A)|ajj⋯j||aii2⋯im|=Pi(A)−q∑i2…im∈Nm−13δii2…im=0|aii2⋯im|Pi(A)−∑i2i3⋯im∈Nm−13δii2…im=0maxj∈{i2,i3,⋯,im}Pj(A)|ajj⋯j||aii2⋯im|≤1. |
For any i∈N3, from Inequality (3.2) and 0≤t≤1, we conclude that
q>tPi(A)|aii⋯i|,∀i∈N3. | (3.3) |
For any i∈N2, by Inequality (3.1), it holds that
|aii⋯i|Λi(A)−|aii⋯i|Λi(A)>q(∑i2⋯im∈Nm−10|aii2⋯im|+∑i2⋯im∈Nm−12δii2⋯im=0|aii2⋯im|)+∑i2⋯im∈Nm−13maxj∈{i2,i3,⋯,im}tPj(A)|ajj⋯j||aii2⋯im|. | (3.4) |
By Inequality (3.3) and Inequality (3.4), there exists a sufficiently small positive number ε such that
q>tPi(A)|aii⋯i|+ε,∀i∈N3, | (3.5) |
and
|aii⋯i|Λi(A)−|aii⋯i|Λi(A)>q(∑i2⋯im∈Nm−10|aii2⋯im|+∑i2⋯im∈Nm−12δii2⋯im=0|aii2⋯im|)+∑i2⋯im∈Nm−13maxj∈{i2,i3,⋯,im}tPj(A)|ajj⋯j||aii2⋯im|+ε∑i2⋯im∈Nm−13|aii2⋯im|,∀i∈N2, |
that is,
ε∑i2⋯im∈Nm−13|aii2⋯im|<|aii⋯i|Λi(A)−|aii⋯i|Λi(A)−q(∑i2⋯im∈Nm−10|aii2⋯im|+∑i2⋯im∈Nm−12δii2⋯im=0|aii2⋯im|)−∑i2⋯im∈Nm−13maxj∈{i2,i3,⋯,im}tPj(A)|ajj⋯j||aii2⋯im|, ∀i∈N2. | (3.6) |
By the definition of t, it holds that
t≥q(∑i2⋯im∈Nm−10|aii2⋯im|+∑i2⋯im∈Nm−12|aii2⋯im|)Pi(A)−∑i2⋯im∈Nm−13δii2⋯im=0maxj∈{i2,i3,⋯,im}Pj(A)|ajj⋯j||aii2⋯im|,∀i∈N2, |
that is
q(∑i2⋯im∈Nm−10|aii2⋯im|+∑i2⋯im∈Nm−12|aii2⋯im|)+t∑i2⋯im∈Nm−13δii2⋯im=0maxj∈{i2,i3,⋯,im}Pj(A)|ajj⋯j||aii2⋯im|≤tPi(A),∀i∈N2. | (3.7) |
Let the matrix D=diag(d1,d2,⋯,dn), and denote B=ADm−1=(bi1i2⋯im), where
di={q1m−1,i∈N1,(Λi(A)−|aii⋯i|Λi(A))1m−1,i∈N2,(ε+tPi(A)|aii⋯i|)1m−1,i∈N3. |
For any i∈N1, by q>tPi(A)|aii⋯i|(∀i∈N3), we conclude that
Λi(B)=q∑i2⋯im∈Nm−10δii2⋯im=0|aii2⋯im|+∑i2⋯im∈Nm−12|aii2⋯im|(Λi2(A)−|ai2i2⋯i2|Λi2(A))1m−1⋯(Λim(A)−|aimim⋯im|Λim(A))1m−1+∑i2⋯im∈Nm−13|aii2⋯im|(tPi2(A)|ai2i2⋯i2|+ε)1m−1⋯(tPim(A)|aimim⋯im|+ε)1m−1≤q(∑i2⋯im∈Nm−10δii2⋯im=0|aii2⋯im|+∑i2⋯im∈Nm−12|aii2⋯im|)+∑i2⋯im∈Nm−13|aii2⋯im|(maxj∈{i2,i3,⋯,im}tPj(A)|ajj⋯j|+ε)<q(∑i2⋯im∈Nm−10δii2⋯im=0|aii2⋯im|+∑i2⋯im∈Nm−12|aii2⋯im|)+q∑i2⋯im∈Nm−13|aii2⋯im|=q|aii⋯i|=|bii⋯i|. |
For ∀i∈N2, by Inequality (3.6), then
Λi(B)=q∑i2⋯im∈Nm−10|aii2⋯im|+∑i2⋯im∈Nm−12δii2⋯im=0|aii2⋯im|(Λi2(A)−|ai2i2⋯i2|Λi2(A))1m−1⋯(Λim(A)−|aimim⋯im|Λim(A))1m−1+∑i2⋯im∈Nm−13|aii2⋯im|(tPi2(A)|ai2i2⋯i2|+ε)1m−1⋯(tPim(A)|aimim⋯im|+ε)1m−1≤q(∑i2⋯im∈Nm−10|aii2⋯im|+∑i2⋯im∈Nm−12δii2⋯im=0|aii2⋯im|)+∑i2⋯im∈Nm−13|aii2⋯im|(maxj∈{i2,i3,⋯,im}tPj(A)|ajj⋯j|+ε)=q(∑i2⋯im∈Nm−10|aii2⋯im|+∑i2⋯im∈Nm−12δii2⋯im=0|aii2⋯im|)+∑i2⋯im∈Nm−13maxj∈{i2,i3,⋯,im}tPj(A)|ajj⋯j||aii2⋯im|+ε∑i2⋯im∈Nm−13|aii2⋯im|<q(∑i2⋯im∈Nm−10|aii2⋯im|+∑i2⋯im∈Nm−12δii2⋯im=0|aii2⋯im|)+∑i2⋯im∈Nm−13maxj∈{i2,i3,⋯,im}tPj(A)|ajj⋯j||aii2⋯im|+[|aii⋯i|Λi(A)−|aii⋯i|Λi(A)−q(∑i2⋯im∈Nm−10|aii2⋯im|+∑i2⋯im∈Nm−12δii2⋯im=0|aii2⋯im|)−∑i2⋯im∈Nm−13maxj∈{i2,i3,⋯,im}tPj(A)|ajj⋯j||aii2⋯im|]=|aii⋯i|Λi(A)−|aii⋯i|Λi(A)=|bii⋯i|. |
Finally, for any i∈N3, by Inequality (3.7), thus
Λi(B)=q∑i2⋯im∈Nm−10|aii2⋯im|+∑i2⋯im∈Nm−12|aii2⋯im|(Λi2(A)−|ai2i2⋯i2|Λi2(A))1m−1⋯(Λim(A)−|aimim⋯im|Λim(A))1m−1+∑i2⋯im∈Nm−13δii2⋯im=0|aii2⋯im|(tPi2(A)|ai2i2⋯i2|+ε)1m−1⋯(tPim(A)|aimim⋯im|+ε)1m−1≤q(∑i2⋯im∈Nm−10|aii2⋯im|+∑i2⋯im∈Nm−12|aii2⋯im|)+∑i2⋯im∈Nm−13δii2⋯im=0|aii2⋯im|(maxj∈{i2,i3,⋯,im}tPj(A)|ajj⋯j|+ε)=q(∑i2⋯im∈Nm−10|aii2⋯im|+∑i2⋯im∈Nm−12|aii2⋯im|)+∑i2⋯im∈Nm−13δii2⋯im=0maxj∈{i2,i3,⋯,im}tPj(A)|ajj⋯j||aii2⋯im|+ε∑i2⋯im∈Nm−13δii2⋯im=0|aii2⋯im|≤tPi(A)+ε∑i2⋯im∈Nm−13δii2⋯im=0|aii2⋯im|<tPi(A)+ε|aii⋯i|=|bii⋯i|. |
Therefore, we obtain that |bii⋯i|>Λi(B)(∀i∈N). From Lemma 1, B is an H-tensor. Further, by Lemma 2, A is an H-tensor.
Remark 1. From Theorem 2, we conclude that 0≤p<1, 0≤t≤1, and for any i∈N3,
tPi(A)|aii⋯i|<Λi(A)|aii⋯i|<1. |
Thus, all conditions in Theorem 2 are weaker than that in Theorem 1. Example 2 illustrates the superiority of Theorem 2.
Theorem 3. Let A=(ai1⋯im) be a complex tensor with m-order, n-dimension. If A is irreducible, and for all i∈N2,
|aii⋯i|≥Λi(A)Λi(A)−|aii⋯i|[q(∑i2i3⋯im∈Nm−10|aii2⋯im|+∑i2i3⋯im∈Nm−12δii2⋯im=0|aii2⋯im|)+∑i2i3⋯im∈Nm−13maxj∈{i2,i3,⋯,im}tPj(A)|ajj⋯j||aii2⋯im|], | (3.8) |
and at least one strict inequality in (3.8) holds, then A is an H-tensor.
Proof. Notice that A is irreducible, this implies that for any i∈N3, Pi(A)>0, t>0 (Otherwise, A is reducible).
For any i∈N2, by Inequality (3.8), we obtain
|aii⋯i|Λi(A)−|aii⋯i|Λi(A)≥q(∑i2i3⋯im∈Nm−10|aii2⋯im|+∑i2i3⋯im∈Nm−12δii2⋯im=0|aii2⋯im|)+∑i2i3⋯im∈Nm−13maxj∈{i2,i3,⋯,im}tPj(A)|ajj⋯j||aii2⋯im|. | (3.9) |
Let the matrix D=diag(d1,d2,⋯,dn), denote B=ADm−1=(bi1i2⋯im), where
di={q1m−1,i∈N1,(Λi(A)−|aii⋯i|Λi(A))1m−1,i∈N2,(tPi(A)|aii⋯i|)1m−1,i∈N3. |
For any i∈N1, by q>tPi(A)|aii⋯i|(∀i∈N3), we conclude that
Λi(B)=q∑i2⋯im∈Nm−10δii2⋯im=0|aii2⋯im|+∑i2⋯im∈Nm−12|aii2⋯im|(Λi2(A)−|ai2i2⋯i2|Λi2(A))1m−1⋯(Λim(A)−|aimim⋯im|Λim(A))1m−1+∑i2⋯im∈Nm−13|aii2⋯im|(tPi2(A)|ai2i2⋯i2|)1m−1⋯(tPim(A)|aimim⋯im|)1m−1≤q(∑i2⋯im∈Nm−10δii2⋯im=0|aii2⋯im|+∑i2⋯im∈Nm−12|aii2⋯im|)+∑i2⋯im∈Nm−13maxj∈{i2,i3,⋯,im}tPj(A)|ajj⋯j||aii2⋯im|<q(∑i2⋯im∈Nm−10δii2⋯im=0|aii2⋯im|+∑i2⋯im∈Nm−12|aii2⋯im|)+q∑i2⋯im∈Nm−13|aii2⋯im|=q|aii⋯i|=|bii⋯i|. |
For any i∈N2, by Inequality (3.9), it holds that
Λi(B)=q∑i2⋯im∈Nm−10|aii2⋯im|+∑i2⋯im∈Nm−12δii2⋯im=0|aii2⋯im|(Λi2(A)−|ai2i2⋯i2|Λi2(A))1m−1⋯(Λim(A)−|aimim⋯im|Λim(A))1m−1+∑i2⋯im∈Nm−13|aii2⋯im|(tPi2(A)|ai2i2⋯i2|)1m−1⋯(tPim(A)|aimim⋯im|)1m−1≤q(∑i2⋯im∈Nm−10|aii2⋯im|+∑i2⋯im∈Nm−12δii2⋯im=0|aii2⋯im|)+∑i2⋯im∈Nm−13maxj∈{i2,i3,⋯,im}tPj(A)|ajj⋯j||aii2⋯im|≤|aii⋯i|Λi(A)−|aii⋯i|Λi(A)=|bii⋯i|. |
Next, for any i∈N3, by Inequality (3.7), then
Λi(B)=q∑i2⋯im∈Nm−10|aii2⋯im|+∑i2⋯im∈Nm−12|aii2⋯im|(Λi2(A)−|ai2i2⋯i2|Λi2(A))1m−1⋯(Λim(A)−|aimim⋯im|Λim(A))1m−1+∑i2⋯im∈Nm−13δii2⋯im=0|aii2⋯im|(tPi2(A)|ai2i2⋯i2|)1m−1⋯(tPim(A)|aimim⋯im|)1m−1≤q(∑i2⋯im∈Nm−10|aii2⋯im|+∑i2⋯im∈Nm−12|aii2⋯im|)+∑i2⋯im∈Nm−13δii2⋯im=0maxj∈{i2,i3,⋯,im}tPj(A)|ajj⋯j||aii2⋯im|≤tPi(A)=tPi(A)|aii⋯i|×|aii⋯i|=|bii⋯i|. |
Therefore, |bii⋯i|≥Λi(B) (∀i∈N), and for all ∀i∈N2, at least one strict inequality in (10) holds, that is, there exists an i0∈N2 such that |bi0i0⋯i0|>Λi0(B).
On the other hand, since A is irreducible and so is B. Then, by Lemma 3, we have that B is an H-tensor. By Lemma 2, A is also an H-tensor.
Let
K(A)={i∈N2:|aii⋯i|>Λi(A)Λi(A)−|aii⋯i|[q(∑i2i3⋯im∈Nm−10|aii2⋯im|+∑i2i3⋯im∈Nm−12δii2⋯im=0|aii2⋯im|)+∑i2i3⋯im∈Nm−13maxj∈{i2,i3,⋯,im}tPj(A)|ajj⋯j||aii2⋯im|]}. |
Theorem 4. Let A=(ai1⋯im) be a complex tensor with m-order, n-dimension. For any i∈N2,
|aii⋯i|≥Λi(A)Λi(A)−|aii⋯i|[q(∑i2i3⋯im∈Nm−10|aii2⋯im|+∑i2i3⋯im∈Nm−12δii2⋯im=0|aii2⋯im|)+∑i2i3⋯im∈Nm−13maxj∈{i2,i3,⋯,im}tPj(A)|ajj⋯j||aii2⋯im|], |
and if for any i∈N∖K(A)≠∅, there exists a nonzero elements chain from i to j such that j∈K(A)≠∅, then A is an H-tensor.
Proof. Let the matrix D=diag(d1,d2,⋯,dn), and denote B=ADm−1=(bi1i2⋯im), where
di={q1m−1,i∈N1,(Λi(A)−|aii⋯i|Λi(A))1m−1,i∈N2,(tPi(A)|aii⋯i|)1m−1,i∈N3. |
A similar argument to that of Theorem 2, we can prove that |bii⋯i|≥Λi(B)(∀i∈N), and there exists at least an i∈N2 such that |bii⋯i|>Λi(B).
On the other hand, if |bii⋯i|=Λi(B), then i∈N∖K(A), by the assumption, we know that there exists a nonzero elements chain of A from i to j, such that j∈K(A). Hence, there exists a nonzero elements chain of B from i to j, such that j satisfying |bjj⋯j|>Λj(B).
Based on above analysis, we get that B satisfies the conditions of Lemma 4, so B is an H-tensor. By Lemma 2, A is an H-tensor.
Example 2. Consider the 3-order 3-dimension tensor A=(aijk) defined as follows:
A=[A(1,:,:),A(2,:,:),A(3,:,:)], |
A(1,:,:)=(12101601015),A(2,:,:)=(110060001),A(3,:,:)=(1000100016). |
Obviously,
|a111|=12, Λ1(A)=24, |a222|=6, Λ2(A)=3, |a333|=16, Λ3(A)=2. |
so N1=∅,N2={1},N3={2,3}. By calculations, we have
qi=1=24−1224=12=q, |
P2(A)=12(1+1+1)=32, P3(A)=12(0+1+1)=1, |
P2(A)|a222|=326=14, P3(A)|a333|=116, |
ti=2=12(1+1)32−14×1=45, ti=3=12(0+1)1−14×1=23, t=45. |
When i=1, we get
Λ1(A)Λ1(A)−|a111|[q(∑i2i3∈N20|a1i2i3|+∑i2i3∈N22δ1i2i3=0|a1i2i3|)+∑i2i3∈N23maxj∈{i2,i3}tPj(A)|ajjj||a1i2i3|]=2424−12[12(3+0)+45×14×21]=575<12=|a111|, |
so A satisfies the conditions of Theorem 2, then A is an H-tensor. However,
∑i2i3∈N2∖N23δ1i2i3=0|a1i2i3|+∑i2i3∈N23maxj∈{i2,i3}Λj(A)|ajjj||a1i2i3|=3+12×21=272>12=|a111|, |
so A does not satisfy the conditions of Theorem 1.
Based on the criteria of H-tensors in Section 3, we present some criteria for identifying the positive definiteness of an even-order real symmetric tensor. First, we recall the following lemma.
Lemma 5. [7] Let A=(ai1i2⋯im) be an even-order real symmetric tensor with m-order, n-dimension, and ak⋯k>0 for all k∈N. If A is an H-tensor, then A is positive definite.
From Theorems 2−4 and Lemma 5, we obtain easily the following result.
Theorem 5. Let A=(ai1i2⋯im) be an even-order real symmetric tensor with m-order, n-dimension, and aii⋯i>0 for all i∈N. If one of the following holds:
● (i) A satisfies all the conditions of Theorem 2,
● (ii) A satisfies all the conditions of Theorem 3,
● (iii) A satisfies all the conditions of Theorem 4,
then A is positive definite.
Example 3. Let
f(x)=Ax4=16x41+20x42+30x43+33x44−8x31x4+12x21x2x3−12x2x23x4−24x1x2x3x4 |
be a 4th-degree homogeneous polynomial. We can get the 4-order 4-dimension real symmetric tensor A=(ai1i2i3i4), where
a1111=16, a2222=20, a3333=30, a4444=33,a1114=a1141=a1411=a4111=−2,a1123=a1132=a1213=a1312=a1231=a1321=1,a2113=a2131=a2311=a3112=a3121=a3211=1,a2334=a2343=a2433=a4233=a4323=a4332=−1,a3234=a3243=a3324=a3342=a3423=a3432=−1,a1234=a1243=a1324=a1342=a1423=a1432=−1,a2134=a2143=a2314=a2341=a2413=a2431=−1,a3124=a3142=a3214=a3241=a3412=a3421=−1,a4123=a4132=a4213=a4231=a4312=a4321=−1, |
and zero elsewhere. By calculations, we have
a1111=16<18=Λ1(A), |
and
a4444(a1111−Λ1(A)+|a1444|)=−66<0=Λ4(A)|a1444|. |
Then A is not strictly diagonally dominate as defined in [17] or quasidoubly strictly diagonally dominant as defined in [18]. Hence, we cannot use Theorem 3 in [17] and Theorem 4 in [18] to identify the positive definiteness of A. However, it can be verified that A satisfies all the conditions of Theorem 2.
Λ1(A)=18, Λ2(A)=12, Λ3(A)=15, Λ4(A)=11, |
so N1=∅,N2={1},N3={2,3,4}. By calculations, we have
qi=1=18−1618=19=q, |
P2(A)=19(9+0+3)=43, P3(A)=19(9+0+6)=53, P4(A)=19(6+2+3)=119, |
P2(A)|a2222|=4320=115, P3(A)|a3333|=5330=118, P4(A)|a4444|=11933=127, |
ti=2=19(9+0)43−115×3=1517, ti=3=19(9+1)53−115×6=1519, |
ti=4=19(6+2)119−115×3=1013, t=1517. |
When i=1, we get
Λ1(A)Λ1(A)−|a1111|[q(∑i2i3i4∈N30|a1i2i3i4|+∑i2i3i4∈N32δ1i2i3i4=0|a1i2i3i4|)+∑i2i3i4∈N33maxj∈{i2,i3,i4}tPj(A)|ajjjj||a1i2i3i4|]=1818−16[19(12+0)+1517×115×6]=25817<16=|a1111|. |
Therefore, from Theorem 5, we have that A is positive definite, that is, f(x) is positive definite.
In this paper, we given some inequalities to identify whether a tensor is an H-tensor, which was also used to identify the positive definiteness of an even degree homogeneous polynomial f(x)≡Axm. These inequalities were expressed in terms of the elements of A, so they can be checked easily.
The authors wish to give their sincere thanks to the anonymous referees for their valuable suggestions and helpful comments, which help improve the quality of the paper significantly. This work was supported by the National Natural Science Foundation of China (11861077), the Foundation of Science and Technology Department of Guizhou Province (20191161, 20181079), the Talent Growth Project Department of Guizhou Province ([2016]168) and the Research Foundation of Guizhou Minzu University (2019YB08).
The authors declare that they have no competing interests.
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1. | Dongjian Bai, Feng Wang, New Criterions-Based H-Tensors for Testing the Positive Definiteness of Multivariate Homogeneous Forms, 2022, 10, 2227-7390, 2416, 10.3390/math10142416 | |
2. | 鹏程 赵, New Criterions for H-Tensors and Its Applications, 2022, 11, 2324-7991, 5727, 10.12677/AAM.2022.118604 | |
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Wenbin Gong, Yan Li, Weiting Duan, Tao Wang, Yaqiang Wang,
New iterative schemes for identifying strong |