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京都大学 情報学研究科 通信情報システム専攻 2024年8月実施 専門基礎A [A-1]

Author​

祭音Myyura

Description​

大学公表の原題

(1)​

(a) Evaluate the following integral:

I=∫−∞∞∫−∞∞e−(x2+y2)dxdy,x,y∈RI = \int_{-\infty}^{\infty} \int_{-\infty}^{\infty} e^{-(x^2 + y^2)} dx dy, \quad x, y \in \mathbb{R}

(b) Using the result of Question (a), evaluate the following integral:

J=∫−∞∞e−x2dx,x∈RJ = \int_{-\infty}^{\infty} e^{-x^2} dx, \quad x \in \mathbb{R}

(c) Gamma function is defined as follows:

Γ(x)=∫0∞e−ttx−1dt,x,t∈R\Gamma(x) = \int_0^\infty e^{-t} t^{x-1} dt, \quad x, t \in \mathbb{R}

Using the result from Question (b), find the value of Γ(12)\Gamma\left(\frac{1}{2}\right).

(2)​

Matrix AA is given as:

A=[012−232−113]A = \begin{bmatrix} 0 & 1 & 2 \\ -2 & 3 & 2 \\ -1 & 1 & 3 \end{bmatrix}

(a) Find all the eigenvalues and their corresponding eigenvectors of matrix AA.

(b) Let nn be a positive integer. Find AnA^n.

题目描述​

  1. 回答积分问题:

    1. 计算

      I=∫−∞∞∫−∞∞e−(x2+y2) dx dy.I=\int_{-\infty}^{\infty}\int_{-\infty}^{\infty} e^{-(x^2+y^2)}\,dx\,dy.
    2. 利用上问结果计算 Gaussian 积分

      J=∫−∞∞e−x2 dx.J=\int_{-\infty}^{\infty}e^{-x^2}\,dx.
    3. Gamma 函数定义为

      Γ(x)=∫0∞e−ttx−1 dt.\Gamma(x)=\int_0^\infty e^{-t}t^{x-1}\,dt.

      利用第 2 小问求 Γ(12)\Gamma(\frac12)。

  2. 给定

    A=[012−232−113].A=\begin{bmatrix}0&1&2\\-2&3&2\\-1&1&3\end{bmatrix}.
    1. 求 AA 的全部特征值及相应特征向量。
    2. 对正整数 nn,求 AnA^n。

Kai​

The integral defining Γ(x)\Gamma(x) converges for x>0x>0, which includes x=1/2x=1/2.

(1)​

(a)​

The integral I=∫−∞∞∫−∞∞e−(x2+y2)dxdyI=\int _{-\infty }^{\infty }\int _{-\infty }^{\infty }e^{-(x^{2}+y^{2})}dxdy can be solved using polar coordinates, where x2+y2=r2x^{2}+y^{2}=r^{2} and dx dy=r dr dθdx\,dy=r\,dr\,d\theta . The integral becomes:

I=∫02π∫0∞e−r2r dr dθI=\int _{0}^{2\pi }\int _{0}^{\infty }e^{-r^{2}}r\,dr\,d\theta

We use a substitution u=r2u=r^{2}, du=2r drdu=2r\,dr.

I=∫02π[∫0∞e−u12 du] dθI=\int _{0}^{2\pi }\left[\int _{0}^{\infty }e^{-u}\frac{1}{2}\,du\right]\,d\theta

The inner integral evaluates to 12[−e−u]0∞=12(0−(−1))=12\frac{1}{2}[-e^{-u}]_{0}^{\infty }=\frac{1}{2}(0-(-1))=\frac{1}{2}.

I=∫02π12 dθ=12[θ]02π=12(2π)=πI=\int _{0}^{2\pi }\frac{1}{2}\,d\theta =\frac{1}{2}[\theta ]_{0}^{2\pi }=\frac{1}{2}(2\pi )=\pi

(b)​

The integral J=∫−∞∞e−x2dxJ=\int _{-\infty }^{\infty }e^{-x^{2}}dx can be related to II by noting that I=J2I=J^{2}.

I=(∫−∞∞e−x2dx)(∫−∞∞e−y2dy)=J2I=\left(\int _{-\infty }^{\infty }e^{-x^{2}}dx\right)\left(\int _{-\infty }^{\infty }e^{-y^{2}}dy\right)=J^{2}

Since I=πI=\pi, we have J2=πJ^{2}=\pi. As the integrand e−x2e^{-x^{2}} is positive, JJ must be positive. J=πJ=\sqrt{\pi}.

(c)​

Γ(12)=∫t=0+∞t12−1e−tdt=∫t=0+∞e−ttdt,\Gamma\left(\frac{1}{2}\right)=\intop_{t=0}^{+\infty}t^{\frac{1}{2}-1}e^{-t}dt=\intop_{t=0}^{+\infty}\frac{e^{-t}}{\sqrt{t}}dt,

and with y=t,dy=dt2ty = \sqrt{t}, dy=\frac{dt}{2\sqrt{t}}, we get

Γ(12)=2∫y=0+∞e−y2dy=∫y=−∞+∞e−y2dy=π.\Gamma\left(\frac{1}{2}\right)=2\intop_{y=0}^{+\infty}e^{-y^{2}}dy=\intop_{y=-\infty}^{+\infty}e^{-y^{2}}dy=\sqrt{\pi}.

(2)​

(a)​

We find the eigenvalues λ\lambda by solving the characteristic equation det⁡(A−λI)=0\det (A-\lambda I)=0, which yields λ3−6λ2+11λ−6=0\lambda ^{3}-6\lambda ^{2}+11\lambda -6=0. The roots are λ1=1\lambda _{1}=1, λ2=2\lambda _{2}=2, λ3=3\lambda _{3}=3.

We solve (A−λI)v=0(A-\lambda I)\mathbf{v}=\mathbf{0} for each eigenvalue to find the corresponding eigenvectors:

  • For λ1=1\lambda _{1}=1, the eigenvector is proportional to v1=[110]\mathbf{v}_{1}=\left[\begin{matrix}1\\ 1\\ 0\end{matrix}\right].
  • For λ2=2\lambda _{2}=2, the eigenvector is proportional to v2=[101]\mathbf{v}_{2}=\left[\begin{matrix}1\\ 0\\ 1\end{matrix}\right].
  • For λ3=3\lambda _{3}=3, the eigenvector is proportional to v3=[111]\mathbf{v}_{3}=\left[\begin{matrix}1\\ 1\\ 1\end{matrix}\right].

(b)​

The matrix AA is diagonalizable as A=PDP−1A=PDP^{-1}, where PP is the matrix of eigenvectors and DD is the diagonal matrix of eigenvalues. An=PDnP−1A^{n}=PD^{n}P^{-1}.

P=[111101011],Dn=[10002n0003n],P−1=[10−11−10−111]P=\left[\begin{matrix}1&1&1\\ 1&0&1\\ 0&1&1\end{matrix}\right],\quad D^{n}=\left[\begin{matrix}1&0&0\\ 0&2^{n}&0\\ 0&0&3^{n}\end{matrix}\right],\quad P^{-1}=\left[\begin{matrix}1&0&-1\\ 1&-1&0\\ -1&1&1\end{matrix}\right]

Hence The matrix AnA^{n} is:

An=[1+2n−3n−2n+3n−1+3n1−3n3n−1+3n2n−3n−2n+3n3n]\mathbf{A}^{\mathbf{n}}=\left[\begin{matrix}1+2^{n}-3^{n}&-2^{n}+3^{n}&-1+3^{n}\\ 1-3^{n}&3^{n}&-1+3^{n}\\ 2^{n}-3^{n}&-2^{n}+3^{n}&3^{n}\end{matrix}\right]