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広島大学 先進理工系科学研究科 情報科学プログラム 2019年8月実施 専門科目I 問題1

Author

samparker, 祭音Myyura

Description

数列

a0=0,a1=1an+2=an+1+an(n=0,1,2,)\begin{aligned} &a_0 = 0, a_1 = 1 \\ &a_{n+2} = a_{n+1} + a_n \quad (n = 0, 1, 2, \ldots) \end{aligned}

の漸化式は、行列 A=[1110]A = \begin{bmatrix} 1 & 1 \\ 1 & 0 \end{bmatrix} を用いて、

[an+2an+1]=[1110][an+1an]\begin{bmatrix} a_{n+2} \\ a_{n+1} \end{bmatrix} = \begin{bmatrix} 1 & 1 \\ 1 & 0 \end{bmatrix} \begin{bmatrix} a_{n+1} \\ a_{n} \end{bmatrix}

と表現することができる。以下の問題を答えよ。

(1) 行列 AA のすべての固有値と固有ベクトルを求めよ。

(2) この数列の一般項 ana_n を求めよ。


Let

a0=0,a1=1an+2=an+1+an(n=0,1,2,)\begin{aligned} &a_0 = 0, a_1 = 1 \\ &a_{n+2} = a_{n+1} + a_n \quad (n = 0, 1, 2, \ldots) \end{aligned}

be a sequence of numbers. The recurrence relation of this sequence can be represented by using matrix A=[1110]A = \begin{bmatrix} 1 & 1 \\ 1 & 0 \end{bmatrix} as

[an+2an+1]=[1110][an+1an]\begin{bmatrix} a_{n+2} \\ a_{n+1} \end{bmatrix} = \begin{bmatrix} 1 & 1 \\ 1 & 0 \end{bmatrix} \begin{bmatrix} a_{n+1} \\ a_{n} \end{bmatrix}

(1) Find all the eigenvalues and the corresponding eigenvectors of AA.

(2) Find a general term ana_n of this sequence.

题目描述

数列满足

a0=0,a1=1,an+2=an+1+an(n=0,1,2,),a_0=0,\qquad a_1=1,\qquad a_{n+2}=a_{n+1}+a_n\quad(n=0,1,2,\ldots),

其递推关系可借助

A=[1110]A=\begin{bmatrix}1&1\\1&0\end{bmatrix}

写成

[an+2an+1]=A[an+1an].\begin{bmatrix}a_{n+2}\\a_{n+1}\end{bmatrix} =A\begin{bmatrix}a_{n+1}\\a_n\end{bmatrix}.
  1. 求矩阵 AA 的全部特征值及对应的特征向量。
  2. 求该数列的通项 ana_n

考点

  • 特征值与特征向量:对递推矩阵作谱分解,并利用矩阵幂推导斐波那契型数列的通项公式。

Kai

(1)

Eigenvalues

det(AλE)=01λ11λ=λ2λ1=0\text{det}(A - \lambda E) = 0 \Rightarrow \begin{vmatrix} 1 - \lambda & 1 \\ 1 & -\lambda \end{vmatrix} = \lambda^2 - \lambda - 1 = 0
λ1=1+52,λ2=152\therefore \lambda_1 = \frac{1 + \sqrt{5}}{2}, \lambda_2 = \frac{1 - \sqrt{5}}{2}

Eigenvectors

v1=(1+52,1),v2=(152,1)v_1 = \left(\frac{1 + \sqrt{5}}{2}, 1 \right), v_2 = \left(\frac{1 - \sqrt{5}}{2}, 1 \right)

(2)

Let PP be the matrix formed by these eigenvectors, i.e.

P=[1+5215211]P = \begin{bmatrix} \frac{1 + \sqrt{5}}{2} & \frac{1 - \sqrt{5}}{2} \\ 1 & 1 \end{bmatrix}

Then

det(P)=λ1λ2=5\text{det}(P) = \lambda_1 - \lambda_2 = \sqrt{5}

In particular,

P1=15[1λ21λ1]P^{-1} = \frac{1}{\sqrt{5}} \begin{bmatrix} 1 & -\lambda_2 \\ -1 & \lambda_1 \end{bmatrix}

Then the diagonalization of AA is given by

A=[λ1λ211][λ100λ2]15[1λ21λ1]A = \begin{bmatrix} \lambda_1 & \lambda_2 \\ 1 & 1 \end{bmatrix} \begin{bmatrix} \lambda_1 & 0 \\ 0 & \lambda_2 \end{bmatrix} \frac{1}{\sqrt{5}} \begin{bmatrix} 1 & -\lambda_2 \\ -1 & \lambda_1 \end{bmatrix}

The nnth-power of AA is

An=[λ1λ211][λ1n00λ2n]15[1λ21λ1]=[λ1n+1λ2n+1λ1nλ2n]15[1λ21λ1]\begin{aligned} A^n &= \begin{bmatrix} \lambda_1 & \lambda_2 \\ 1 & 1 \end{bmatrix} \begin{bmatrix} \lambda_1^n & 0 \\ 0 & \lambda_2^n \end{bmatrix} \frac{1}{\sqrt{5}} \begin{bmatrix} 1 & -\lambda_2 \\ -1 & \lambda_1 \end{bmatrix} \\ &= \begin{bmatrix} \lambda_1^{n+1} & \lambda_2^{n+1} \\ \lambda_1^n & \lambda_2^n \end{bmatrix} \frac{1}{\sqrt{5}} \begin{bmatrix} 1 & -\lambda_2 \\ -1 & \lambda_1 \end{bmatrix} \end{aligned}

Then the (1,2)(1, 2)-entry of AnA_n is

an=15(λ1n+1λ2+λ2n+1λ1)=15λ1λ2(λ2nλ1n)=15(λ1nλ2n)=15((1+52)n(152)n)\begin{aligned} a_n &= \frac{1}{\sqrt{5}} (-\lambda_1^{n+1} \lambda_2 + \lambda_2^{n+1} \lambda_1) \\ &= \frac{1}{\sqrt{5}} \lambda_1 \lambda_2 (\lambda_2^n - \lambda_1^n) \\ &= \frac{1}{\sqrt{5}} (\lambda_1^n - \lambda_2^n) \\ &= \frac{1}{\sqrt{5}} \left( \left( \frac{1 + \sqrt{5}}{2} \right)^n - \left( \frac{1 - \sqrt{5}}{2} \right)^n \right) \end{aligned}