Let us define A = Circ r ( a 0 , a 1 , … , a n ? 1 ) $A=operatorname{Circ}_{r}(a_{0},a_{1},ldots,a_{n-1})$ to be a n × n $nimes n$ r-circulant matrix. The entries in the first row of A = Circ r ( a 0 , a 1 , … , a n ? 1 ) $A=operatorname{Circ}_{r}(a_{0},a_{1},ldots,a_{n-1})$ are a i = F i $a_{i}=F_{i}$ , or a i = L i $a_{i}=L_{i}$ , or a i = F i L i $a_{i}=F_{i}L_{i}$ , or a i = F i 2 $a_{i}=F_{i}^{2}$ , or a i = L i 2 $a_{i}=L_{i}^{2}$ ( i = 0 , 1 , … , n ? 1 $i=0,1,ldots,n-1$ ), where F i $F_{i}$ and L i $L_{i}$ are the ith Fibonacci and Lucas numbers, respectively. This paper gives an upper bound estimation of the spectral norm for r-circulant matrices with Fibonacci and Lucas numbers. The result is more accurate than the corresponding results of S Solak and S Shen, and of J Cen, and the numerical examples have provided further proof.
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机译:让我们定义A = Circ r(a 0,a 1,…,an?1)$ A = operatorname {Circ} _ {r}(a_ {0},a_ {1}, ldots,a_ {n- 1})$是×n $ n 乘以n $ r循环矩阵。 A = Circ r(a 0,a 1,…,an?1)第一行中的条目$ A = operatorname {Circ} _ {r}(a_ {0},a_ {1}, ldots, a_ {n-1})$是ai = F i $ a_ {i} = F_ {i} $或ai = L i $ a_ {i} = L_ {i} $或ai = F i L i $ a_ {i} = F_ {i} L_ {i} $或ai = F i 2 $ a_ {i} = F_ {i} ^ {2} $或ai = L i 2 $ a_ {i} = L_ {i} ^ {2} $(i = 0,1,…,n?1 $ i = 0,1, ldots,n-1 $),其中F i $ F_ {i} $和L i $ L_ {i} $分别是第i个斐波那契数和卢卡斯数。本文给出了斐波那契数和卢卡斯数的r循环矩阵谱范数的上限估计。该结果比S Solak和S Shen和J Cen的相应结果更准确,并且数值示例提供了进一步的证明。
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