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早稲田大学 創造理工学研究科 経営システム工学専攻 2021年8月実施 线性代数

Author

思齐塾, 祭音Myyura

Description

RR を実数集合 (set of real numbers) とし、

A=[112211313210]A = \begin{bmatrix} 1 & 1 & 2 \\ 2 & -1 & 1 \\ 3 & 1 & 3 \\ 2 & -1 & 0 \end{bmatrix}

とし、線形写像 (linear transformation) f:R3R4f: R^3 \to R^4

f(x)=Ax,xR3f(\mathbf{x}) = A\mathbf{x}, \quad \mathbf{x} \in R^3

と表せるとする。このとき、 f(x)=f(y)f(\mathbf{x}) = f(\mathbf{y}) ならば x=y\mathbf{x} = \mathbf{y} であることを示せ。

题目描述

记实数集为 R\mathbb R,令

A=[112211313210],A=\begin{bmatrix} 1&1&2\\ 2&-1&1\\ 3&1&3\\ 2&-1&0 \end{bmatrix},

并定义线性映射

f:R3R4,f(x)=Ax(xR3).f:\mathbb R^3\to\mathbb R^4,\qquad f(\mathbf x)=A\mathbf x\quad(\mathbf x\in\mathbb R^3).

证明:若 f(x)=f(y)f(\mathbf x)=f(\mathbf y),则 x=y\mathbf x=\mathbf y

Kai

We want to show that if f(x)=f(y)f(\mathbf{x}) = f(\mathbf{y}) , then x=y\mathbf{x} = \mathbf{y} . This is equivalent to showing that f(x)=Axf(\mathbf{x}) = A\mathbf{x} is injective (one-to-one).

If f(x)=f(y)f(\mathbf{x}) = f(\mathbf{y}) , then Ax=AyA\mathbf{x} = A\mathbf{y} . Thus, AxAy=0A\mathbf{x} - A\mathbf{y} = \mathbf{0} , which means A(xy)=0A(\mathbf{x} - \mathbf{y}) = \mathbf{0} . Let z=xy\mathbf{z} = \mathbf{x} - \mathbf{y} . We want to show that Az=0A\mathbf{z} = \mathbf{0} implies z=0\mathbf{z} = \mathbf{0} .

In other words, we want to show that the kernel (null space) of AA is only the zero vector. We can determine this by row reducing AA .

A=[112211313210][112033023034][112011023034][112011001001][112011001000][110010001000][100010001000]A = \begin{bmatrix} 1 & 1 & 2 \\ 2 & -1 & 1 \\ 3 & 1 & 3 \\ 2 & -1 & 0 \end{bmatrix} \sim \begin{bmatrix} 1 & 1 & 2 \\ 0 & -3 & -3 \\ 0 & -2 & -3 \\ 0 & -3 & -4 \end{bmatrix} \sim \begin{bmatrix} 1 & 1 & 2 \\ 0 & 1 & 1 \\ 0 & -2 & -3 \\ 0 & -3 & -4 \end{bmatrix} \sim \begin{bmatrix} 1 & 1 & 2 \\ 0 & 1 & 1 \\ 0 & 0 & -1 \\ 0 & 0 & -1 \end{bmatrix} \sim \begin{bmatrix} 1 & 1 & 2 \\ 0 & 1 & 1 \\ 0 & 0 & 1 \\ 0 & 0 & 0 \end{bmatrix} \sim \begin{bmatrix} 1 & 1 & 0 \\ 0 & 1 & 0 \\ 0 & 0 & 1 \\ 0 & 0 & 0 \end{bmatrix} \sim \begin{bmatrix} 1 & 0 & 0 \\ 0 & 1 & 0 \\ 0 & 0 & 1 \\ 0 & 0 & 0 \end{bmatrix}

Since the row reduced echelon form of AA has rank 3, which is the number of columns, the kernel of AA is {0}\{\mathbf{0}\} . Thus, Az=0A\mathbf{z} = \mathbf{0} implies z=0\mathbf{z} = \mathbf{0} . Since z=xy\mathbf{z} = \mathbf{x} - \mathbf{y} , we have xy=0\mathbf{x} - \mathbf{y} = \mathbf{0} , so x=y\mathbf{x} = \mathbf{y} .