题目
The matrix is given by
where is a constant.
(a) The matrix represents a sequence of two geometrical transformations.
State the type of each transformation, and make clear the order in which they are applied.
(b) The triangle in the – plane is transformed by onto triangle .
Find, in terms of , the single matrix which transforms triangle onto triangle .
(c) Find the set of values of for which the transformation represented by has no invariant lines through the origin.
题目中文翻译
矩阵 为
其中 为常数。
(a) 矩阵 表示依次进行的两个几何变换。
写出每个变换的类型,并明确说明它们的作用顺序。
(b) – 平面内的三角形 经 变换后得到三角形 。
用 表示将三角形 变换为三角形 的单个矩阵。
(c) 求使 所表示的变换不存在经过原点的不变直线的 的取值集合。
原卷通用作答要求
Answer all questions. You should use a calculator where appropriate.
You must show all necessary working clearly; no marks will be given for unsupported answers from a calculator.
Give non-exact numerical answers correct to 3 significant figures, or 1 decimal place for angles in degrees, unless a different level of accuracy is specified in the question.
请回答所有题目。适当时应使用计算器。必须清楚展示所有必要的计算过程;仅给出计算器答案而没有过程,不予评分。除非题目另有精度要求,非精确数值答案保留 3 位有效数字,以度为单位的角度保留 1 位小数。
解答
(a)
解法一
思路
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先作用的是右侧剪切矩阵,再由左侧矩阵进行旋转。
答题过程
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The sequence is a shear followed by a rotation. The rotation is anticlockwise through about the origin.
(b)
解法一
思路
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反转两步次序并分别取逆,最后相乘成题目要求的单一矩阵。
答题过程
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Writing , its inverse is
This single matrix maps back onto .
(c)
解法一
思路
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用y=mx建立不变方向的二次方程,其判别式为负才没有实斜率。必须另查竖直线,尤其二次项系数为零的k=1不能混入答案。
答题过程
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Multiplying,
For a point on an invariant line, its image must satisfy . Cancelling the common scale factor gives
so
When , no real slopes exist exactly when the discriminant is negative:
The vertical line is invariant only if , because the image of has horizontal coordinate . The value is outside the interval above, and at that value the slope equation also has the real solution .
Thus the required set is
The endpoints are excluded because they give a repeated real invariant direction.
解法二
思路
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也可利用不变方向就是实特征向量方向,求特征方程是否有实根。矩阵行列式为1,特征值不会为零。
答题过程
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An invariant real line through the origin provides a real eigenvector of . Conversely a real eigenvector spans an invariant line. Since , no eigenvalue is zero.
The trace is , so the characteristic equation is
There are no real eigenvalues exactly when
Therefore there are no invariant real lines precisely when
At equality a real eigenvalue and eigenvector exist, so neither endpoint is included.