東京大学 新領域創成科学研究科 人間環境学専攻 2020年8月実施 微分方程
Author
思齐塾 , 祭音Myyura
Description
(1) 次の連立微分方程式を解くことを考える。
d y d x = A y + f ( x ) (1) \frac{dy}{dx} = Ay + f(x) \tag{1} d x d y = A y + f ( x ) ( 1 )
ここで、
y = [ y 1 ( x ) y 2 ( x ) ] , A = [ 3 2 1 4 ] , f ( x ) = [ e x e 2 x ] y = \begin{bmatrix} y_1(x) \\ y_2(x) \end{bmatrix}, A = \begin{bmatrix} 3 & 2 \\ 1 & 4 \end{bmatrix}, f(x) = \begin{bmatrix} e^x \\ e^{2x} \end{bmatrix} y = [ y 1 ( x ) y 2 ( x ) ] , A = [ 3 1 2 4 ] , f ( x ) = [ e x e 2 x ]
とする。
P − 1 A P P^{-1}AP P − 1 A P が対角行列となるような、行列 P P P を求めよ。またその逆行列 P − 1 P^{-1} P − 1 を求めよ。
z = [ z 1 ( x ) z 2 ( x ) ] = P − 1 y z = \begin{bmatrix} z_1(x) \\ z_2(x) \end{bmatrix} = P^{-1}y z = [ z 1 ( x ) z 2 ( x ) ] = P − 1 y とおき、式 (1) を z z z に関する連立微分方程式に変換する。
この z z z に関する連立微分方程式の一般解を求めよ。
なお、非同次方程式 d g d x = p ( x ) g + q ( x ) \frac{dg}{dx} = p(x)g + q(x) d x d g = p ( x ) g + q ( x ) の一般解 g = g ( x ) g = g(x) g = g ( x ) は、 q ( x ) = 0 q(x) = 0 q ( x ) = 0 とおいた同次方程式の一般解 g = g 0 ( x ) g = g_0(x) g = g 0 ( x ) を用いて式 (2) のように表されることを用いてもよい。
g ( x ) = g 0 ( x ) ∫ q ( x ) g 0 ( x ) d x + C g 0 ( x ) (2) g(x) = g_0(x) \int \frac{q(x)}{g_0(x)} dx + Cg_0(x) \tag{2} g ( x ) = g 0 ( x ) ∫ g 0 ( x ) q ( x ) d x + C g 0 ( x ) ( 2 )
ここで、 C C C は任意の定数である。
题目描述
考虑非齐次线性微分方程组
d y d x = A y + f ( x ) , (1) \frac{dy}{dx}=Ay+f(x), \tag{1} d x d y = A y + f ( x ) , ( 1 )
其中
y = [ y 1 ( x ) y 2 ( x ) ] , A = [ 3 2 1 4 ] , f ( x ) = [ e x e 2 x ] . y=\begin{bmatrix}y_1(x)\\y_2(x)\end{bmatrix},
\qquad
A=\begin{bmatrix}3&2\\1&4\end{bmatrix},
\qquad
f(x)=\begin{bmatrix}e^x\\e^{2x}\end{bmatrix}. y = [ y 1 ( x ) y 2 ( x ) ] , A = [ 3 1 2 4 ] , f ( x ) = [ e x e 2 x ] .
求一个可逆矩阵 P P P ,使 P − 1 A P P^{-1}AP P − 1 A P 为对角矩阵,并求出 P − 1 P^{-1} P − 1 。
令
z = [ z 1 ( x ) z 2 ( x ) ] = P − 1 y . z=\begin{bmatrix}z_1(x)\\z_2(x)\end{bmatrix}=P^{-1}y. z = [ z 1 ( x ) z 2 ( x ) ] = P − 1 y .
将式 (1) 化为关于 z z z 的微分方程组,并求该方程组的一般解。
可以使用以下一阶非齐次线性方程公式:若
d g d x = p ( x ) g + q ( x ) , \frac{dg}{dx}=p(x)g+q(x), d x d g = p ( x ) g + q ( x ) ,
且把 q ( x ) q(x) q ( x ) 置为 0 0 0 后所得齐次方程的通解记为 g 0 ( x ) g_0(x) g 0 ( x ) ,则非齐次方程可写为
g ( x ) = g 0 ( x ) ∫ q ( x ) g 0 ( x ) d x + C g 0 ( x ) , (2) g(x)=g_0(x)\int\frac{q(x)}{g_0(x)}\,dx+Cg_0(x), \tag{2} g ( x ) = g 0 ( x ) ∫ g 0 ( x ) q ( x ) d x + C g 0 ( x ) , ( 2 )
其中 C C C 为任意常数。
Kai
To find matrix P P P such that P − 1 A P P^{-1}AP P − 1 A P is a diagonal matrix, we first need to find the eigenvalues of matrix A A A .
A = [ 3 2 1 4 ] A = \begin{bmatrix} 3 & 2 \\ 1 & 4 \end{bmatrix} A = [ 3 1 2 4 ]
The characteristic equation is given by det ( A − λ I ) = 0 \det(A - \lambda I) = 0 det ( A − λ I ) = 0 , where I I I is the identity matrix.
∣ 3 − λ 2 1 4 − λ ∣ = ( 3 − λ ) ( 4 − λ ) − 2 = λ 2 − 7 λ + 12 − 2 = λ 2 − 7 λ + 10 = ( λ − 2 ) ( λ − 5 ) = 0 \begin{vmatrix} 3 - \lambda & 2 \\ 1 & 4 - \lambda \end{vmatrix} = (3 - \lambda)(4 - \lambda) - 2 = \lambda^2 - 7\lambda + 12 - 2 = \lambda^2 - 7\lambda + 10 = (\lambda - 2)(\lambda - 5) = 0 3 − λ 1 2 4 − λ = ( 3 − λ ) ( 4 − λ ) − 2 = λ 2 − 7 λ + 12 − 2 = λ 2 − 7 λ + 10 = ( λ − 2 ) ( λ − 5 ) = 0
So, the eigenvalues are λ 1 = 2 \lambda_1 = 2 λ 1 = 2 and λ 2 = 5 \lambda_2 = 5 λ 2 = 5 .
Now, we find the eigenvectors corresponding to each eigenvalue.
For λ 1 = 2 \lambda_1 = 2 λ 1 = 2 :
( A − 2 I ) v 1 = 0 ⇒ [ 1 2 1 2 ] [ x y ] = [ 0 0 ] ⇒ x + 2 y = 0 (A - 2I)v_1 = 0 \Rightarrow \begin{bmatrix} 1 & 2 \\ 1 & 2 \end{bmatrix} \begin{bmatrix} x \\ y \end{bmatrix} = \begin{bmatrix} 0 \\ 0 \end{bmatrix} \Rightarrow x + 2y = 0 ( A − 2 I ) v 1 = 0 ⇒ [ 1 1 2 2 ] [ x y ] = [ 0 0 ] ⇒ x + 2 y = 0
Let y = 1 y = 1 y = 1 , then x = − 2 x = -2 x = − 2 . So, the eigenvector v 1 = [ − 2 1 ] v_1 = \begin{bmatrix} -2 \\ 1 \end{bmatrix} v 1 = [ − 2 1 ] .
For λ 2 = 5 \lambda_2 = 5 λ 2 = 5 :
( A − 5 I ) v 2 = 0 ⇒ [ − 2 2 1 − 1 ] [ x y ] = [ 0 0 ] ⇒ x − y = 0 (A - 5I)v_2 = 0 \Rightarrow \begin{bmatrix} -2 & 2 \\ 1 & -1 \end{bmatrix} \begin{bmatrix} x \\ y \end{bmatrix} = \begin{bmatrix} 0 \\ 0 \end{bmatrix} \Rightarrow x - y = 0 ( A − 5 I ) v 2 = 0 ⇒ [ − 2 1 2 − 1 ] [ x y ] = [ 0 0 ] ⇒ x − y = 0
Let x = 1 x = 1 x = 1 , then y = 1 y = 1 y = 1 . So, the eigenvector v 2 = [ 1 1 ] v_2 = \begin{bmatrix} 1 \\ 1 \end{bmatrix} v 2 = [ 1 1 ] .
The matrix P P P is formed by using the eigenvectors as columns:
P = [ − 2 1 1 1 ] P = \begin{bmatrix} -2 & 1 \\ 1 & 1 \end{bmatrix} P = [ − 2 1 1 1 ]
Now, we find the inverse of P P P .
det ( P ) = ( − 2 ) ( 1 ) − ( 1 ) ( 1 ) = − 3 \det(P) = (-2)(1) - (1)(1) = -3 det ( P ) = ( − 2 ) ( 1 ) − ( 1 ) ( 1 ) = − 3
P − 1 = 1 − 3 [ 1 − 1 − 1 − 2 ] = [ − 1 / 3 1 / 3 1 / 3 2 / 3 ] P^{-1} = \frac{1}{-3} \begin{bmatrix} 1 & -1 \\ -1 & -2 \end{bmatrix} = \begin{bmatrix} -1/3 & 1/3 \\ 1/3 & 2/3 \end{bmatrix} P − 1 = − 3 1 [ 1 − 1 − 1 − 2 ] = [ − 1/3 1/3 1/3 2/3 ]
Given z = [ z 1 ( x ) z 2 ( x ) ] = P − 1 y z = \begin{bmatrix} z_1(x) \\ z_2(x) \end{bmatrix} = P^{-1}y z = [ z 1 ( x ) z 2 ( x ) ] = P − 1 y , we have y = P z y = Pz y = P z . Substitute this into the original equation:
d ( P z ) d x = A ( P z ) + f ( x ) \frac{d(Pz)}{dx} = A(Pz) + f(x) d x d ( P z ) = A ( P z ) + f ( x )
P d z d x = A P z + f ( x ) P \frac{dz}{dx} = APz + f(x) P d x d z = A P z + f ( x )
Multiply by P − 1 P^{-1} P − 1 on the left:
d z d x = P − 1 A P z + P − 1 f ( x ) \frac{dz}{dx} = P^{-1}APz + P^{-1}f(x) d x d z = P − 1 A P z + P − 1 f ( x )
Since P − 1 A P P^{-1}AP P − 1 A P is a diagonal matrix with eigenvalues on the diagonal, we have:
P − 1 A P = [ 2 0 0 5 ] P^{-1}AP = \begin{bmatrix} 2 & 0 \\ 0 & 5 \end{bmatrix} P − 1 A P = [ 2 0 0 5 ]
P − 1 f ( x ) = [ − 1 / 3 1 / 3 1 / 3 2 / 3 ] [ e x e 2 x ] = [ ( − e x + e 2 x ) / 3 ( e x + 2 e 2 x ) / 3 ] P^{-1}f(x) = \begin{bmatrix} -1/3 & 1/3 \\ 1/3 & 2/3 \end{bmatrix} \begin{bmatrix} e^x \\ e^{2x} \end{bmatrix} = \begin{bmatrix} (-e^x + e^{2x})/3 \\ (e^x + 2e^{2x})/3 \end{bmatrix} P − 1 f ( x ) = [ − 1/3 1/3 1/3 2/3 ] [ e x e 2 x ] = [ ( − e x + e 2 x ) /3 ( e x + 2 e 2 x ) /3 ]
So, the system of differential equations becomes:
d z 1 d x = 2 z 1 + − e x + e 2 x 3 \frac{dz_1}{dx} = 2z_1 + \frac{-e^x + e^{2x}}{3} d x d z 1 = 2 z 1 + 3 − e x + e 2 x
d z 2 d x = 5 z 2 + e x + 2 e 2 x 3 \frac{dz_2}{dx} = 5z_2 + \frac{e^x + 2e^{2x}}{3} d x d z 2 = 5 z 2 + 3 e x + 2 e 2 x
These are first-order linear differential equations. We can solve each one separately using an integrating factor or the formula given in the problem.
For z 1 ( x ) z_1(x) z 1 ( x ) : d z 1 d x − 2 z 1 = − e x + e 2 x 3 \frac{dz_1}{dx} - 2z_1 = \frac{-e^x + e^{2x}}{3} d x d z 1 − 2 z 1 = 3 − e x + e 2 x
Let g 0 ( x ) = e 2 x g_0(x) = e^{2x} g 0 ( x ) = e 2 x , so z 1 ( x ) = e 2 x ∫ − e x + e 2 x 3 e 2 x d x + C e 2 x = e 2 x ∫ − e x + e 2 x 3 e 2 x d x + C e 2 x = e 2 x ∫ − e − x + 1 3 d x + C e 2 x = e 2 x ( e − x + x 3 ) + C e 2 x = e x + x e 2 x 3 + C e 2 x z_1(x) = e^{2x} \int \frac{\frac{-e^x + e^{2x}}{3}}{e^{2x}} dx + Ce^{2x} = e^{2x} \int \frac{-e^x + e^{2x}}{3e^{2x}} dx + Ce^{2x} = e^{2x} \int \frac{-e^{-x} + 1}{3} dx + Ce^{2x} = e^{2x}(\frac{e^{-x} + x}{3}) + Ce^{2x} = \frac{e^x + xe^{2x}}{3} + Ce^{2x} z 1 ( x ) = e 2 x ∫ e 2 x 3 − e x + e 2 x d x + C e 2 x = e 2 x ∫ 3 e 2 x − e x + e 2 x d x + C e 2 x = e 2 x ∫ 3 − e − x + 1 d x + C e 2 x = e 2 x ( 3 e − x + x ) + C e 2 x = 3 e x + x e 2 x + C e 2 x
For z 2 ( x ) z_2(x) z 2 ( x ) : d z 2 d x − 5 z 2 = e x + 2 e 2 x 3 \frac{dz_2}{dx} - 5z_2 = \frac{e^x + 2e^{2x}}{3} d x d z 2 − 5 z 2 = 3 e x + 2 e 2 x
Let g 0 ( x ) = e 5 x g_0(x) = e^{5x} g 0 ( x ) = e 5 x , so z 2 ( x ) = e 5 x ∫ e x + 2 e 2 x 3 e 5 x d x + C e 5 x = e 5 x ∫ e x + 2 e 2 x 3 e 5 x d x + C e 5 x = e 5 x ∫ e − 4 x + 2 e − 3 x 3 d x + C e 5 x = e 5 x ( − e − 4 x 12 − 2 e − 3 x 9 ) + C e 5 x = − e x 12 − 2 e 2 x 9 + C e 5 x z_2(x) = e^{5x} \int \frac{\frac{e^x + 2e^{2x}}{3}}{e^{5x}} dx + Ce^{5x} = e^{5x} \int \frac{e^x + 2e^{2x}}{3e^{5x}} dx + Ce^{5x} = e^{5x} \int \frac{e^{-4x} + 2e^{-3x}}{3} dx + Ce^{5x} = e^{5x}(\frac{-e^{-4x}}{12} - \frac{2e^{-3x}}{9}) + Ce^{5x} = -\frac{e^x}{12} - \frac{2e^{2x}}{9} + Ce^{5x} z 2 ( x ) = e 5 x ∫ e 5 x 3 e x + 2 e 2 x d x + C e 5 x = e 5 x ∫ 3 e 5 x e x + 2 e 2 x d x + C e 5 x = e 5 x ∫ 3 e − 4 x + 2 e − 3 x d x + C e 5 x = e 5 x ( 12 − e − 4 x − 9 2 e − 3 x ) + C e 5 x = − 12 e x − 9 2 e 2 x + C e 5 x
Therefore,
z ( x ) = [ e x + x e 2 x 3 + C 1 e 2 x − e x 12 − 2 e 2 x 9 + C 2 e 5 x ] , z(x) = \begin{bmatrix} \frac{e^x + xe^{2x}}{3} + C_1e^{2x} \\ -\frac{e^x}{12} - \frac{2e^{2x}}{9} + C_2e^{5x} \end{bmatrix}, z ( x ) = [ 3 e x + x e 2 x + C 1 e 2 x − 12 e x − 9 2 e 2 x + C 2 e 5 x ] ,
where C 1 C_1 C 1 and C 2 C_2 C 2 are independent arbitrary constants.