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Unit C1 · Solutions第C1单元 · 解答

Vectors and the Geometry of Space · Solutions向量与空间解析几何 · 解答

Companion to the University-Style Practice Set大学风格练习题配套解答

MEDIUM HARD CORE PROOF APPLIED

Sections 1 to 7: 3-D coordinates, vectors, dot product, cross product, lines, planes, quadric surfaces1 至 7 节:三维坐标、向量、点积、叉积、直线、平面、二次曲面CALC III



PART I  ·  CORE TECHNIQUESComputational fluency · 28 marks计算流畅度 · 28分

Worked Solutions详解

Q1MEDIUMCOREvectors: components, magnitude, unit vector向量:分量、模长、单位向量[8 marks]

Let $\mathbf{u} = \langle 2,-1,3 \rangle$ and $\mathbf{v} = \langle -1,4,-2 \rangle$. (a) Compute $|\mathbf{u}|$ and the unit vector $\hat{\mathbf{u}}$. (b) Compute $3\mathbf{u} - 2\mathbf{v}$ and its magnitude. (c) For $\mathbf{w} = \overrightarrow{PQ}$ with $P=(1,-2,4)$ and $Q=(3,0,1)$, write $\mathbf{w}$ in component form and verify $|\mathbf{w}| \ne |\mathbf{u}|$.设 $\mathbf{u} = \langle 2,-1,3 \rangle$,$\mathbf{v} = \langle -1,4,-2 \rangle$。(a) 计算 $|\mathbf{u}|$ 及单位向量 $\hat{\mathbf{u}}$。(b) 计算 $3\mathbf{u} - 2\mathbf{v}$ 及其模长。(c) 对于 $\mathbf{w} = \overrightarrow{PQ}$,$P=(1,-2,4)$,$Q=(3,0,1)$,写出 $\mathbf{w}$ 的分量形式,并验证 $|\mathbf{w}| \ne |\mathbf{u}|$。

Answers:答案:  (a) $|\mathbf{u}|=\sqrt{14}$, $\hat{\mathbf{u}}=\tfrac{1}{\sqrt{14}}\langle 2,-1,3\rangle$  ·  (b) $\langle 8,-11,13\rangle$, magnitude模长 $\sqrt{354}$  ·  (c) $\mathbf{w}=\langle 2,2,-3\rangle$, $|\mathbf{w}|=\sqrt{17}\ne\sqrt{14}$

(a) Magnitude and unit vector(a) 模长与单位向量 M1·A1·A1

Apply $|\mathbf{u}| = \sqrt{u_1^2 + u_2^2 + u_3^2}$: (M1)代入公式 $|\mathbf{u}| = \sqrt{u_1^2 + u_2^2 + u_3^2}$:(M1)

$$ |\mathbf{u}| = \sqrt{2^2 + (-1)^2 + 3^2} = \sqrt{4+1+9} = \sqrt{14}. $$

(A1) The unit vector is $\hat{\mathbf{u}} = \dfrac{\mathbf{u}}{|\mathbf{u}|} = \dfrac{1}{\sqrt{14}}\langle 2,-1,3 \rangle$. (A1)(A1) 单位向量为 $\hat{\mathbf{u}} = \dfrac{\mathbf{u}}{|\mathbf{u}|} = \dfrac{1}{\sqrt{14}}\langle 2,-1,3 \rangle$。(A1)

(b) Linear combination and its magnitude(b) 线性组合及其模长 M1·A1·A1

Compute $3\mathbf{u} - 2\mathbf{v}$ component by component: (M1)逐分量计算 $3\mathbf{u} - 2\mathbf{v}$:(M1)

$$ 3\langle 2,-1,3\rangle - 2\langle -1,4,-2\rangle = \langle 6-(-2),\,-3-8,\,9-(-4)\rangle = \langle 8,-11,13\rangle. $$

(A1) Its magnitude is $\sqrt{64+121+169} = \sqrt{354}$. (A1)(A1) 其模长为 $\sqrt{64+121+169} = \sqrt{354}$。(A1)

(c) Vector between two points(c) 两点间的向量 M1·A1

$\mathbf{w} = Q - P = \langle 3-1,\,0-(-2),\,1-4\rangle = \langle 2,2,-3\rangle$. (M1)

$|\mathbf{w}| = \sqrt{4+4+9} = \sqrt{17}$. Since $\sqrt{17} \ne \sqrt{14}$, we have $|\mathbf{w}| \ne |\mathbf{u}|$. (A1)$|\mathbf{w}| = \sqrt{4+4+9} = \sqrt{17}$。因为 $\sqrt{17} \ne \sqrt{14}$,所以 $|\mathbf{w}| \ne |\mathbf{u}|$。(A1)

Insight. The magnitude formula is the 3-D Pythagorean theorem: add the squares of all three components. A unit vector has magnitude exactly $1$ and points in the same direction; dividing by $|\mathbf{u}|$ scales without rotating. Two vectors with the same magnitude need not be equal or even parallel, since their directions can differ entirely.模长公式是三维勾股定理:将三个分量的平方相加再开方。单位向量的模长恰好为 $1$,方向与原向量相同;除以 $|\mathbf{u}|$ 只改变大小而不改变方向。两个模长相同的向量不一定相等甚至不一定平行,因为它们的方向可以完全不同。
Q2MEDIUMCOREdot product: angle, scalar projection, work点积:夹角、标量投影、功[10 marks]

Let $\mathbf{a} = \langle 1,2,-2\rangle$ and $\mathbf{b} = \langle 3,-1,2\rangle$. (a) Compute $\mathbf{a}\cdot\mathbf{b}$. (b) Find the angle $\theta$ between $\mathbf{a}$ and $\mathbf{b}$. (c) Find the scalar and vector projections of $\mathbf{a}$ onto $\mathbf{b}$. (d) Find the work done by $\mathbf{F}=\langle 2,3,-1\rangle$ N along the path from $A=(0,0,0)$ to $B=(4,-1,2)$.设 $\mathbf{a} = \langle 1,2,-2\rangle$,$\mathbf{b} = \langle 3,-1,2\rangle$。(a) 计算 $\mathbf{a}\cdot\mathbf{b}$。(b) 求 $\mathbf{a}$ 与 $\mathbf{b}$ 之间的夹角 $\theta$。(c) 求 $\mathbf{a}$ 在 $\mathbf{b}$ 上的标量投影与向量投影。(d) 求力 $\mathbf{F}=\langle 2,3,-1\rangle$ N 沿从 $A=(0,0,0)$ 到 $B=(4,-1,2)$ 路径所做的功。

Answers:答案:  (a) $-3$  ·  (b) $\theta = \arccos\!\bigl(-\tfrac{1}{\sqrt{14}}\bigr)$, obtuse钝角  ·  (c) scalar proj标量投影 $= -\tfrac{3}{\sqrt{14}}$, vector proj向量投影 $= \tfrac{-3}{14}\langle 3,-1,2\rangle$  ·  (d) $W = 3$ J

(a) The dot product(a) 点积 M1·A1

Multiply corresponding components and sum: (M1)将对应分量相乘后求和:(M1)

$$ \mathbf{a}\cdot\mathbf{b} = (1)(3) + (2)(-1) + (-2)(2) = 3 - 2 - 4 = -3. $$

(A1)

(b) Angle from the dot product formula(b) 由点积公式求夹角 M1·A1·A1

Use $\mathbf{a}\cdot\mathbf{b} = |\mathbf{a}||\mathbf{b}|\cos\theta$. First compute the magnitudes: (M1)利用 $\mathbf{a}\cdot\mathbf{b} = |\mathbf{a}||\mathbf{b}|\cos\theta$。先计算模长:(M1)

$$ |\mathbf{a}| = \sqrt{1+4+4} = 3, \qquad |\mathbf{b}| = \sqrt{9+1+4} = \sqrt{14}. $$

(A1) Therefore $\cos\theta = \dfrac{-3}{3\sqrt{14}} = \dfrac{-1}{\sqrt{14}}$, so $\theta = \arccos\!\left(\dfrac{-1}{\sqrt{14}}\right)$. (A1)(A1) 因此 $\cos\theta = \dfrac{-3}{3\sqrt{14}} = \dfrac{-1}{\sqrt{14}}$,故 $\theta = \arccos\!\left(\dfrac{-1}{\sqrt{14}}\right)$。(A1)

Since $\cos\theta < 0$, the angle is obtuse.由于 $\cos\theta < 0$,该角为钝角。

(c) Scalar and vector projections(c) 标量投影与向量投影 M1·A1·A1

The scalar projection of $\mathbf{a}$ onto $\mathbf{b}$ is $\operatorname{comp}_{\mathbf{b}}\mathbf{a} = \dfrac{\mathbf{a}\cdot\mathbf{b}}{|\mathbf{b}|}$: (M1)$\mathbf{a}$ 在 $\mathbf{b}$ 上的标量投影为 $\operatorname{comp}_{\mathbf{b}}\mathbf{a} = \dfrac{\mathbf{a}\cdot\mathbf{b}}{|\mathbf{b}|}$:(M1)

$$ \operatorname{comp}_{\mathbf{b}}\mathbf{a} = \frac{-3}{\sqrt{14}}. $$

(A1) The vector projection is $\operatorname{proj}_{\mathbf{b}}\mathbf{a} = \dfrac{\mathbf{a}\cdot\mathbf{b}}{|\mathbf{b}|^2}\,\mathbf{b}$:(A1) 向量投影为 $\operatorname{proj}_{\mathbf{b}}\mathbf{a} = \dfrac{\mathbf{a}\cdot\mathbf{b}}{|\mathbf{b}|^2}\,\mathbf{b}$:

$$ \operatorname{proj}_{\mathbf{b}}\mathbf{a} = \frac{-3}{14}\langle 3,-1,2\rangle = \left\langle \frac{-9}{14},\,\frac{3}{14},\,\frac{-3}{7}\right\rangle. $$

(A1)

(d) Work as a dot product(d) 用点积计算功 M1·A1

The displacement vector is $\overrightarrow{AB} = \langle 4,-1,2\rangle$. Work is $W = \mathbf{F}\cdot\overrightarrow{AB}$: (M1)位移向量为 $\overrightarrow{AB} = \langle 4,-1,2\rangle$。功为 $W = \mathbf{F}\cdot\overrightarrow{AB}$:(M1)

$$ W = (2)(4) + (3)(-1) + (-1)(2) = 8 - 3 - 2 = 3 \text{ J}. $$

(A1)

Insight. The dot product encodes the component of one vector along another: a negative dot product means the angle exceeds $90^\circ$. Projections split $\mathbf{a}$ into a part parallel to $\mathbf{b}$ (the vector projection) and a residual perpendicular to $\mathbf{b}$. Work captures only the component of force along the direction of motion; force perpendicular to displacement does no work.点积反映一个向量沿另一个向量方向的分量:点积为负表示夹角超过 $90^\circ$。投影将 $\mathbf{a}$ 分解为平行于 $\mathbf{b}$ 的部分(向量投影)和垂直于 $\mathbf{b}$ 的余量。功只计算力沿运动方向的分量;垂直于位移的力不做功。
Q3HARDCOREcross product: area, orthogonality, scalar triple product叉积:面积、正交性、混合积[10 marks]

Let $\mathbf{p}=\langle 1,3,-2\rangle$, $\mathbf{q}=\langle -2,1,4\rangle$, $\mathbf{r}=\langle 0,2,1\rangle$. (a) Compute $\mathbf{p}\times\mathbf{q}$. (b) Verify $\mathbf{p}\times\mathbf{q}$ is orthogonal to both $\mathbf{p}$ and $\mathbf{q}$. (c) Find the area of the parallelogram and triangle with sides $\mathbf{p}$, $\mathbf{q}$. (d) Compute $\mathbf{p}\cdot(\mathbf{q}\times\mathbf{r})$ and find the volume of the parallelepiped.设 $\mathbf{p}=\langle 1,3,-2\rangle$,$\mathbf{q}=\langle -2,1,4\rangle$,$\mathbf{r}=\langle 0,2,1\rangle$。(a) 计算 $\mathbf{p}\times\mathbf{q}$。(b) 验证 $\mathbf{p}\times\mathbf{q}$ 与 $\mathbf{p}$ 和 $\mathbf{q}$ 均正交。(c) 求以 $\mathbf{p}$、$\mathbf{q}$ 为边的平行四边形和三角形的面积。(d) 计算 $\mathbf{p}\cdot(\mathbf{q}\times\mathbf{r})$,并求平行六面体的体积。

Answers:答案:  (a) $\langle 14,0,7\rangle$  ·  (b) both dot products equal $0$两个点积均等于 $0$  ·  (c) parallelogram平行四边形 $7\sqrt{5}$, triangle三角形 $\tfrac{7\sqrt{5}}{2}$  ·  (d) triple product混合积 $7$, volume体积 $7$

(a) Cross product via the determinant(a) 用行列式计算叉积 M1·M1·A1·A1

Expand along the first row of the $3\times 3$ determinant: (M1)沿 $3\times 3$ 行列式第一行展开:(M1)

$$ \mathbf{p}\times\mathbf{q} = \begin{vmatrix} \mathbf{i} & \mathbf{j} & \mathbf{k} \\ 1 & 3 & -2 \\ -2 & 1 & 4 \end{vmatrix}. $$

$\mathbf{i}$-component: $3\cdot 4 - (-2)\cdot 1 = 12 + 2 = 14$. (M1)$\mathbf{i}$ 分量:$3\cdot 4 - (-2)\cdot 1 = 12 + 2 = 14$。(M1)

$\mathbf{j}$-component: $-(1\cdot 4 - (-2)\cdot(-2)) = -(4-4) = 0$.$\mathbf{j}$ 分量:$-(1\cdot 4 - (-2)\cdot(-2)) = -(4-4) = 0$。

$\mathbf{k}$-component: $1\cdot 1 - 3\cdot(-2) = 1+6 = 7$. (A1 for each pair; A1 for assembled answer)$\mathbf{k}$ 分量:$1\cdot 1 - 3\cdot(-2) = 1+6 = 7$。(每对 A1;组合结果 A1)

$$ \mathbf{p}\times\mathbf{q} = \langle 14,\,0,\,7\rangle. $$

(b) Orthogonality checks(b) 正交性验证 A1·A1

Compute $\mathbf{p}\cdot(\mathbf{p}\times\mathbf{q}) = \langle 1,3,-2\rangle\cdot\langle 14,0,7\rangle = 14 + 0 - 14 = 0$. (A1)计算 $\mathbf{p}\cdot(\mathbf{p}\times\mathbf{q}) = \langle 1,3,-2\rangle\cdot\langle 14,0,7\rangle = 14 + 0 - 14 = 0$。(A1)

Compute $\mathbf{q}\cdot(\mathbf{p}\times\mathbf{q}) = \langle -2,1,4\rangle\cdot\langle 14,0,7\rangle = -28 + 0 + 28 = 0$. (A1)计算 $\mathbf{q}\cdot(\mathbf{p}\times\mathbf{q}) = \langle -2,1,4\rangle\cdot\langle 14,0,7\rangle = -28 + 0 + 28 = 0$。(A1)

Both are zero, confirming orthogonality.两者均为零,证实了正交性。

(c) Areas of parallelogram and triangle(c) 平行四边形与三角形面积 M1·A1

The area of the parallelogram is $|\mathbf{p}\times\mathbf{q}|$: (M1)平行四边形的面积为 $|\mathbf{p}\times\mathbf{q}|$:(M1)

$$ |\langle 14,0,7\rangle| = \sqrt{196+0+49} = \sqrt{245} = 7\sqrt{5}. $$

The triangle has half that area: $\dfrac{7\sqrt{5}}{2}$. (A1)三角形面积为其一半:$\dfrac{7\sqrt{5}}{2}$。(A1)

(d) Scalar triple product and parallelepiped volume(d) 混合积与平行六面体体积 M1·A1

First compute $\mathbf{q}\times\mathbf{r} = \langle -2,1,4\rangle\times\langle 0,2,1\rangle$: (M1)先计算 $\mathbf{q}\times\mathbf{r} = \langle -2,1,4\rangle\times\langle 0,2,1\rangle$:(M1)

$$ \mathbf{q}\times\mathbf{r} = \langle 1\cdot 1 - 4\cdot 2,\;4\cdot 0-(-2)\cdot 1,\;(-2)\cdot 2 - 1\cdot 0\rangle = \langle 1-8,\;0+2,\;-4-0\rangle = \langle -7,2,-4\rangle. $$

Then $\mathbf{p}\cdot(\mathbf{q}\times\mathbf{r}) = \langle 1,3,-2\rangle\cdot\langle -7,2,-4\rangle = -7+6+8 = 7$.再计算 $\mathbf{p}\cdot(\mathbf{q}\times\mathbf{r}) = \langle 1,3,-2\rangle\cdot\langle -7,2,-4\rangle = -7+6+8 = 7$。

Volume $= |\,7\,| = 7$. (A1)体积 $= |\,7\,| = 7$。(A1)

Insight. The $\mathbf{j}$-component of the cross product carries a minus sign in the cofactor expansion; missing it is the most common arithmetic error. The fact that $\mathbf{p}\cdot(\mathbf{p}\times\mathbf{q})=0$ is not just a numerical coincidence but a theorem: the cross product is always perpendicular to both factors. The scalar triple product is signed; its absolute value gives volume, while the sign encodes orientation (whether $\mathbf{a},\mathbf{b},\mathbf{c}$ form a right-handed or left-handed triple).叉积的 $\mathbf{j}$ 分量在余子式展开中带负号,遗漏这个负号是最常见的计算错误。$\mathbf{p}\cdot(\mathbf{p}\times\mathbf{q})=0$ 不只是数值上的巧合,而是一个定理:叉积始终垂直于两个因子。混合积是有符号的;其绝对值给出体积,符号则反映方向($\mathbf{a},\mathbf{b},\mathbf{c}$ 构成右手系还是左手系)。
PART II  ·  DEFINITIONS AND PROOFRigorous arguments · 26 marks严谨论证 · 26分

Worked Solutions详解

Q4HARDPROOFcross product is orthogonal to both factors叉积与两个因子均正交[8 marks]

Let $\mathbf{u}=\langle u_1,u_2,u_3\rangle$, $\mathbf{v}=\langle v_1,v_2,v_3\rangle$, $\mathbf{w}=\mathbf{u}\times\mathbf{v}$. (a) Write $\mathbf{w}$ in full component form. (b) Prove $\mathbf{u}\cdot\mathbf{w}=0$. (c) Explain why $\mathbf{v}\cdot\mathbf{w}=0$ and state the geometric conclusion.设 $\mathbf{u}=\langle u_1,u_2,u_3\rangle$,$\mathbf{v}=\langle v_1,v_2,v_3\rangle$,$\mathbf{w}=\mathbf{u}\times\mathbf{v}$。(a) 写出 $\mathbf{w}$ 的完整分量形式。(b) 证明 $\mathbf{u}\cdot\mathbf{w}=0$。(c) 解释为何 $\mathbf{v}\cdot\mathbf{w}=0$,并陈述几何结论。

Answers:答案:  (a) $\mathbf{w}=\langle u_2v_3-u_3v_2,\;u_3v_1-u_1v_3,\;u_1v_2-u_2v_1\rangle$  ·  (b) $\mathbf{u}\cdot\mathbf{w}=0$ by term cancellation$\mathbf{u}\cdot\mathbf{w}=0$,各项相消  ·  (c) same structure; $\mathbf{u}\times\mathbf{v}$ is normal to the plane of $\mathbf{u}$ and $\mathbf{v}$结构相同;$\mathbf{u}\times\mathbf{v}$ 是 $\mathbf{u}$ 和 $\mathbf{v}$ 所在平面的法向量

(a) The determinant definition(a) 行列式定义 B1·A1

The cross product is defined by expanding the formal $3\times 3$ determinant: (B1)叉积由展开形式 $3\times 3$ 行列式来定义:(B1)

$$ \mathbf{u}\times\mathbf{v} = \begin{vmatrix}\mathbf{i}&\mathbf{j}&\mathbf{k}\\u_1&u_2&u_3\\v_1&v_2&v_3\end{vmatrix} = \langle u_2v_3-u_3v_2,\;u_3v_1-u_1v_3,\;u_1v_2-u_2v_1\rangle. $$

So $w_1=u_2v_3-u_3v_2$, $w_2=u_3v_1-u_1v_3$, $w_3=u_1v_2-u_2v_1$. (A1)故 $w_1=u_2v_3-u_3v_2$,$w_2=u_3v_1-u_1v_3$,$w_3=u_1v_2-u_2v_1$。(A1)

(b) Proof that $\mathbf{u}\cdot\mathbf{w}=0$(b) 证明 $\mathbf{u}\cdot\mathbf{w}=0$ M1·A1·R1

Compute $\mathbf{u}\cdot\mathbf{w} = u_1w_1+u_2w_2+u_3w_3$. Substituting the components from (a): (M1)计算 $\mathbf{u}\cdot\mathbf{w} = u_1w_1+u_2w_2+u_3w_3$。代入 (a) 的分量:(M1)

$$ \mathbf{u}\cdot\mathbf{w} = u_1(u_2v_3-u_3v_2) + u_2(u_3v_1-u_1v_3) + u_3(u_1v_2-u_2v_1). $$

Expand: (A1)展开:(A1)

$$ = u_1u_2v_3 - u_1u_3v_2 + u_2u_3v_1 - u_1u_2v_3 + u_1u_3v_2 - u_2u_3v_1. $$

Each term $u_iu_jv_k$ appears exactly twice with opposite signs and cancels, leaving $0$. (R1)每个形如 $u_iu_jv_k$ 的项都以相反符号出现恰好两次,相消后剩余 $0$。(R1)

(c) Analogous argument for $\mathbf{v}$ and geometric conclusion(c) 对 $\mathbf{v}$ 的类似论证及几何结论 M1·A1·R1

Compute $\mathbf{v}\cdot\mathbf{w} = v_1w_1+v_2w_2+v_3w_3$. Substituting: (M1)计算 $\mathbf{v}\cdot\mathbf{w} = v_1w_1+v_2w_2+v_3w_3$。代入:(M1)

$$ \mathbf{v}\cdot\mathbf{w} = v_1(u_2v_3-u_3v_2)+v_2(u_3v_1-u_1v_3)+v_3(u_1v_2-u_2v_1). $$

Expanding gives terms of the form $v_iu_jv_k$ and $-v_iu_jv_k$ (with $i=k$ in each pair), so every term cancels and $\mathbf{v}\cdot\mathbf{w}=0$. (A1)展开后得到形如 $v_iu_jv_k$ 与 $-v_iu_jv_k$(每对中 $i=k$)的项,所有项相消,故 $\mathbf{v}\cdot\mathbf{w}=0$。(A1)

Since $\mathbf{w}$ is perpendicular to both $\mathbf{u}$ and $\mathbf{v}$, it is perpendicular to every vector in the plane spanned by $\mathbf{u}$ and $\mathbf{v}$. Therefore $\mathbf{u}\times\mathbf{v}$ is a normal vector to that plane. (R1)由于 $\mathbf{w}$ 同时垂直于 $\mathbf{u}$ 和 $\mathbf{v}$,它垂直于 $\mathbf{u}$ 和 $\mathbf{v}$ 张成平面中的每一个向量。因此 $\mathbf{u}\times\mathbf{v}$ 是该平面的法向量。(R1)

Insight. The cancellation in (b) is not accidental: it reflects the fact that the scalar triple product $\mathbf{u}\cdot(\mathbf{u}\times\mathbf{v})$ equals the volume of a degenerate parallelepiped whose two edge directions $\mathbf{u}$ and $\mathbf{u}$ coincide, which has zero volume. That algebraic identity is the engine behind the cross product's geometric role as a normal vector to a plane.(b) 中的相消并非偶然:它反映了混合积 $\mathbf{u}\cdot(\mathbf{u}\times\mathbf{v})$ 等于一个退化平行六面体的体积(其两条棱方向 $\mathbf{u}$ 重合),体积为零。正是这个代数恒等式支撑了叉积作为平面法向量的几何意义。
Q5HARDPROOFvector projection formula and distance from a point to a line向量投影公式与点到直线距离[10 marks]

Let $\ell$ pass through $A$ with direction $\mathbf{d}$, $P$ a point not on $\ell$, $\mathbf{v}=\overrightarrow{AP}$. (a) Prove $d(P,\ell)=|\mathbf{v}\times\mathbf{d}|/|\mathbf{d}|$. (b) Apply to $P=(2,1,-1)$, $A=(0,0,0)$, $\mathbf{d}=\langle 1,2,2\rangle$. (c) Confirm by computing $\overrightarrow{FP}$ directly.设 $\ell$ 过点 $A$,方向向量为 $\mathbf{d}$,$P$ 为不在 $\ell$ 上的点,$\mathbf{v}=\overrightarrow{AP}$。(a) 证明 $d(P,\ell)=|\mathbf{v}\times\mathbf{d}|/|\mathbf{d}|$。(b) 应用于 $P=(2,1,-1)$,$A=(0,0,0)$,$\mathbf{d}=\langle 1,2,2\rangle$。(c) 通过直接计算 $\overrightarrow{FP}$ 验证结果。

Answers:答案:  (a) $d=|\mathbf{v}\times\mathbf{d}|/|\mathbf{d}|$ (from the cross product sine formula)$d=|\mathbf{v}\times\mathbf{d}|/|\mathbf{d}|$(由叉积正弦公式推导)  ·  (b) $\tfrac{5\sqrt{2}}{3}$  ·  (c) $|\overrightarrow{FP}|=\tfrac{5\sqrt{2}}{3}$

(a) Proof of the distance formula(a) 距离公式的证明 M1·M1·A1·M1·A1

Decompose $\mathbf{v}$ into the part along $\mathbf{d}$ and the part perpendicular to $\mathbf{d}$. The foot of the perpendicular is $F = A + \operatorname{proj}_{\mathbf{d}}\mathbf{v}$, so: (M1)将 $\mathbf{v}$ 分解为沿 $\mathbf{d}$ 方向的部分与垂直于 $\mathbf{d}$ 的部分。垂足为 $F = A + \operatorname{proj}_{\mathbf{d}}\mathbf{v}$,故:(M1)

$$ \operatorname{proj}_{\mathbf{d}}\mathbf{v} = \frac{\mathbf{v}\cdot\mathbf{d}}{|\mathbf{d}|^2}\,\mathbf{d}, \qquad \overrightarrow{FP} = \mathbf{v} - \frac{\mathbf{v}\cdot\mathbf{d}}{|\mathbf{d}|^2}\,\mathbf{d}. $$

The distance from $P$ to $\ell$ is $|\overrightarrow{FP}|$. (M1) Now use the cross product: since $\mathbf{v}\times\mathbf{d} = |\mathbf{v}||\mathbf{d}|\sin\theta\,\hat{\mathbf{n}}$ where $\theta$ is the angle between $\mathbf{v}$ and $\mathbf{d}$, we have $|\mathbf{v}\times\mathbf{d}|=|\mathbf{v}||\mathbf{d}|\sin\theta$. (A1) The perpendicular distance from $P$ to the line is$P$ 到 $\ell$ 的距离为 $|\overrightarrow{FP}|$。(M1) 利用叉积:由于 $\mathbf{v}\times\mathbf{d} = |\mathbf{v}||\mathbf{d}|\sin\theta\,\hat{\mathbf{n}}$,其中 $\theta$ 为 $\mathbf{v}$ 与 $\mathbf{d}$ 的夹角,故 $|\mathbf{v}\times\mathbf{d}|=|\mathbf{v}||\mathbf{d}|\sin\theta$。(A1) $P$ 到直线的垂直距离为

$$ d(P,\ell) = |\mathbf{v}|\sin\theta = \frac{|\mathbf{v}||\mathbf{d}|\sin\theta}{|\mathbf{d}|} = \frac{|\mathbf{v}\times\mathbf{d}|}{|\mathbf{d}|}. $$

(M1 for identifying $|\mathbf{v}|\sin\theta$ as the perpendicular component; A1 for the final assembly)(M1:将 $|\mathbf{v}|\sin\theta$ 识别为垂直分量;A1:最终整合)

(b) Applying the formula(b) 应用公式 M1·A1·A1

Here $\mathbf{v}=\overrightarrow{AP}=\langle 2,1,-1\rangle$ and $\mathbf{d}=\langle 1,2,2\rangle$. Compute $\mathbf{v}\times\mathbf{d}$: (M1)此处 $\mathbf{v}=\overrightarrow{AP}=\langle 2,1,-1\rangle$,$\mathbf{d}=\langle 1,2,2\rangle$。计算 $\mathbf{v}\times\mathbf{d}$:(M1)

$$ \mathbf{v}\times\mathbf{d} = \begin{vmatrix}\mathbf{i}&\mathbf{j}&\mathbf{k}\\2&1&-1\\1&2&2\end{vmatrix} = \langle 1\cdot 2-(-1)\cdot 2,\;(-1)\cdot 1-2\cdot 2,\;2\cdot 2-1\cdot 1\rangle = \langle 4,-5,3\rangle. $$

(A1) $|\mathbf{v}\times\mathbf{d}|=\sqrt{16+25+9}=\sqrt{50}=5\sqrt{2}$. Then $|\mathbf{d}|=\sqrt{1+4+4}=3$, so (A1)(A1) $|\mathbf{v}\times\mathbf{d}|=\sqrt{16+25+9}=\sqrt{50}=5\sqrt{2}$。又 $|\mathbf{d}|=\sqrt{1+4+4}=3$,故 (A1)

$$ d(P,\ell) = \frac{5\sqrt{2}}{3}. $$

(c) Confirmation via the perpendicular vector(c) 通过垂直向量验证 M1·A1

The scalar projection of $\mathbf{v}$ onto $\mathbf{d}$ is $\dfrac{\mathbf{v}\cdot\mathbf{d}}{|\mathbf{d}|^2} = \dfrac{2+2-2}{9} = \dfrac{2}{9}$. (M1) So:$\mathbf{v}$ 在 $\mathbf{d}$ 上的标量系数为 $\dfrac{\mathbf{v}\cdot\mathbf{d}}{|\mathbf{d}|^2} = \dfrac{2+2-2}{9} = \dfrac{2}{9}$。(M1) 故:

$$ \operatorname{proj}_{\mathbf{d}}\mathbf{v} = \frac{2}{9}\langle 1,2,2\rangle = \left\langle\frac{2}{9},\frac{4}{9},\frac{4}{9}\right\rangle. $$ $$ \overrightarrow{FP} = \left\langle 2-\frac{2}{9},\;1-\frac{4}{9},\;-1-\frac{4}{9}\right\rangle = \left\langle\frac{16}{9},\,\frac{5}{9},\,-\frac{13}{9}\right\rangle. $$ $$ |\overrightarrow{FP}| = \frac{1}{9}\sqrt{256+25+169} = \frac{\sqrt{450}}{9} = \frac{15\sqrt{2}}{9} = \frac{5\sqrt{2}}{3}. \quad \checkmark $$

(A1)

Insight. The cross product formula $d = |\mathbf{v}\times\mathbf{d}|/|\mathbf{d}|$ is powerful precisely because it avoids finding the foot $F$ explicitly. The confirmation in (c) shows that the longer route (projection, subtraction, then magnitude) gives the same answer, and reinforces that $\sin\theta = |\overrightarrow{FP}|/|\mathbf{v}|$ is the ratio behind both calculations.叉积公式 $d = |\mathbf{v}\times\mathbf{d}|/|\mathbf{d}|$ 的优势正在于无需显式求垂足 $F$。(c) 的验证表明较繁的路径(投影、作差、求模)给出相同结果,并强化了 $\sin\theta = |\overrightarrow{FP}|/|\mathbf{v}|$ 是两种计算背后共同的比值这一认识。
Q6HARDPROOFscalar triple product volume formula and coplanarity混合积体积公式与共面性[8 marks]

Edge-vectors $\mathbf{a}$, $\mathbf{b}$, $\mathbf{c}$ from a common vertex. (a) Prove volume of parallelepiped $=|\mathbf{a}\cdot(\mathbf{b}\times\mathbf{c})|$. (b) State and prove the coplanarity criterion. (c) Test $\mathbf{a}=\langle 1,2,3\rangle$, $\mathbf{b}=\langle 0,1,-1\rangle$, $\mathbf{c}=\langle 2,3,7\rangle$.$\mathbf{a}$、$\mathbf{b}$、$\mathbf{c}$ 为平行六面体从公共顶点出发的棱向量。(a) 证明平行六面体体积 $=|\mathbf{a}\cdot(\mathbf{b}\times\mathbf{c})|$。(b) 陈述并证明共面性判定准则。(c) 检验 $\mathbf{a}=\langle 1,2,3\rangle$,$\mathbf{b}=\langle 0,1,-1\rangle$,$\mathbf{c}=\langle 2,3,7\rangle$。

Answers:答案:  (a) $V=\text{base area}\times\text{height}=|\mathbf{b}\times\mathbf{c}|\,|\mathbf{a}||\cos\phi|=|\mathbf{a}\cdot(\mathbf{b}\times\mathbf{c})|$$V=\text{底面积}\times\text{高}=|\mathbf{b}\times\mathbf{c}|\,|\mathbf{a}||\cos\phi|=|\mathbf{a}\cdot(\mathbf{b}\times\mathbf{c})|$  ·  (b) coplanar iff triple product $=0$共面当且仅当混合积 $=0$  ·  (c) $\mathbf{a}\cdot(\mathbf{b}\times\mathbf{c})=0$, so coplanar$\mathbf{a}\cdot(\mathbf{b}\times\mathbf{c})=0$,故共面

(a) Volume formula(a) 体积公式 M1·A1·M1·A1

The base of the parallelepiped is the parallelogram spanned by $\mathbf{b}$ and $\mathbf{c}$. Its area is $|\mathbf{b}\times\mathbf{c}|$. (M1) Let $\hat{\mathbf{n}} = \dfrac{\mathbf{b}\times\mathbf{c}}{|\mathbf{b}\times\mathbf{c}|}$ be the unit normal to the base.平行六面体的底面是由 $\mathbf{b}$ 和 $\mathbf{c}$ 张成的平行四边形,面积为 $|\mathbf{b}\times\mathbf{c}|$。(M1) 设 $\hat{\mathbf{n}} = \dfrac{\mathbf{b}\times\mathbf{c}}{|\mathbf{b}\times\mathbf{c}|}$ 为底面的单位法向量。

The height of the parallelepiped is the length of the component of $\mathbf{a}$ in the direction of $\hat{\mathbf{n}}$, that is, $h = |\mathbf{a}\cdot\hat{\mathbf{n}}|$. (A1) Therefore: (M1)平行六面体的高为 $\mathbf{a}$ 在 $\hat{\mathbf{n}}$ 方向上分量的长度,即 $h = |\mathbf{a}\cdot\hat{\mathbf{n}}|$。(A1) 因此:(M1)

$$ V = \text{base area}\times h = |\mathbf{b}\times\mathbf{c}|\,\left|\mathbf{a}\cdot\frac{\mathbf{b}\times\mathbf{c}}{|\mathbf{b}\times\mathbf{c}|}\right| = \left|\mathbf{a}\cdot(\mathbf{b}\times\mathbf{c})\right|. $$

(A1)

(b) Coplanarity criterion(b) 共面性判定准则 R1·A1

Statement: $\mathbf{a}$, $\mathbf{b}$, $\mathbf{c}$ are coplanar if and only if $\mathbf{a}\cdot(\mathbf{b}\times\mathbf{c})=0$.命题:$\mathbf{a}$、$\mathbf{b}$、$\mathbf{c}$ 共面,当且仅当 $\mathbf{a}\cdot(\mathbf{b}\times\mathbf{c})=0$。

Proof: by part (a), $V=|\mathbf{a}\cdot(\mathbf{b}\times\mathbf{c})|$. The parallelepiped has volume zero if and only if its three edge vectors are coplanar (i.e. all lie in a common plane through the origin, which happens exactly when $\mathbf{a}$ is a linear combination of $\mathbf{b}$ and $\mathbf{c}$, so the height $h=0$). Therefore $V=0 \Leftrightarrow \mathbf{a}\cdot(\mathbf{b}\times\mathbf{c})=0 \Leftrightarrow$ the vectors are coplanar. (R1·A1)证明:由 (a),$V=|\mathbf{a}\cdot(\mathbf{b}\times\mathbf{c})|$。平行六面体体积为零当且仅当三条棱向量共面(即均位于过原点的某一平面内,这恰好发生在 $\mathbf{a}$ 是 $\mathbf{b}$ 与 $\mathbf{c}$ 的线性组合时,高 $h=0$)。因此 $V=0 \Leftrightarrow \mathbf{a}\cdot(\mathbf{b}\times\mathbf{c})=0 \Leftrightarrow$ 向量共面。(R1·A1)

(c) Numerical test(c) 数值验证 M1·A1

Compute $\mathbf{b}\times\mathbf{c} = \langle 0,1,-1\rangle\times\langle 2,3,7\rangle$: (M1)计算 $\mathbf{b}\times\mathbf{c} = \langle 0,1,-1\rangle\times\langle 2,3,7\rangle$:(M1)

$$ \mathbf{b}\times\mathbf{c} = \langle 1\cdot 7-(-1)\cdot 3,\;(-1)\cdot 2-0\cdot 7,\;0\cdot 3-1\cdot 2\rangle = \langle 10,-2,-2\rangle. $$

Then $\mathbf{a}\cdot(\mathbf{b}\times\mathbf{c}) = \langle 1,2,3\rangle\cdot\langle 10,-2,-2\rangle = 10-4-6 = 0$. (A1)再计算 $\mathbf{a}\cdot(\mathbf{b}\times\mathbf{c}) = \langle 1,2,3\rangle\cdot\langle 10,-2,-2\rangle = 10-4-6 = 0$。(A1)

Since the triple product is zero, the three vectors are coplanar by the criterion in (b).由于混合积为零,由 (b) 的判定准则可知三个向量共面。

Insight. The scalar triple product is the signed volume of a parallelepiped, so a zero value literally means the parallelepiped has collapsed flat, which geometrically means all three vectors lie in one plane. For the test in (c), this is confirmed: one can check that $\mathbf{c} = 2\mathbf{a} - \mathbf{b}$ (since $\langle 2,3,7\rangle = 2\langle 1,2,3\rangle - \langle 0,1,-1\rangle$), so $\mathbf{c}$ is indeed a linear combination of $\mathbf{a}$ and $\mathbf{b}$.混合积是平行六面体的有符号体积,值为零意味着平行六面体退化为平面,几何上即三个向量共面。(c) 的验证可进一步通过 $\mathbf{c} = 2\mathbf{a} - \mathbf{b}$(因为 $\langle 2,3,7\rangle = 2\langle 1,2,3\rangle - \langle 0,1,-1\rangle$)来确认,说明 $\mathbf{c}$ 确实是 $\mathbf{a}$ 与 $\mathbf{b}$ 的线性组合。
PART III  ·  APPLICATIONS AND SYNTHESISExtended problems · 28 marks综合应用题 · 28分

Worked Solutions详解

Q7MEDIUMAPPLIEDlines in space: vector, parametric, symmetric equations空间直线:向量式、参数式、对称式方程[8 marks]

Line $\ell$ through $P_0=(1,-2,3)$ with direction $\mathbf{d}=\langle 2,1,-1\rangle$. (a) Vector and parametric equations. (b) Symmetric equations. (c) Does $Q=(5,0,1)$ lie on $\ell$? (d) The parallel line $m$ through $R=(0,1,-1)$.直线 $\ell$ 过点 $P_0=(1,-2,3)$,方向向量为 $\mathbf{d}=\langle 2,1,-1\rangle$。(a) 向量方程与参数方程。(b) 对称式方程。(c) 点 $Q=(5,0,1)$ 是否在 $\ell$ 上?(d) 过 $R=(0,1,-1)$ 且与 $\ell$ 平行的直线 $m$。

Answers:答案:  (a) $\mathbf{r}=\langle 1+2t,-2+t,3-t\rangle$  ·  (b) $\frac{x-1}{2}=\frac{y+2}{1}=\frac{z-3}{-1}$  ·  (c) Yes, at $t=2$是,$t=2$ 时  ·  (d) $x=2t,\,y=1+t,\,z=-1-t$; distinct since $R\notin\ell$因 $R\notin\ell$ 故为不同直线

(a) Vector and parametric equations(a) 向量方程与参数方程 B1·A1

The vector equation is $\mathbf{r}(t) = \mathbf{r}_0 + t\mathbf{d}$: (B1)向量方程为 $\mathbf{r}(t) = \mathbf{r}_0 + t\mathbf{d}$:(B1)

$$ \mathbf{r}(t) = \langle 1,-2,3\rangle + t\langle 2,1,-1\rangle = \langle 1+2t,\;-2+t,\;3-t\rangle. $$

Parametric form: $x=1+2t$, $y=-2+t$, $z=3-t$. (A1)参数形式:$x=1+2t$,$y=-2+t$,$z=3-t$。(A1)

(b) Symmetric equations(b) 对称式方程 A1

Solve each parametric equation for $t$ and equate: (A1)从每个参数方程解出 $t$ 并令其相等:(A1)

$$ \frac{x-1}{2} = \frac{y+2}{1} = \frac{z-3}{-1}. $$

(c) Does $Q=(5,0,1)$ lie on $\ell$?(c) 点 $Q=(5,0,1)$ 是否在 $\ell$ 上? M1·A1·A1

Substitute into the parametric equations and test consistency. From $x=5$: $1+2t=5 \Rightarrow t=2$. (M1) Check $y$: $-2+2=0$ ✓. Check $z$: $3-2=1$ ✓. (A1) All three equations are satisfied at $t=2$, so $Q$ lies on $\ell$. (A1)代入参数方程并验证一致性。由 $x=5$:$1+2t=5 \Rightarrow t=2$。(M1) 验证 $y$:$-2+2=0$ ✓。验证 $z$:$3-2=1$ ✓。(A1) 三个方程在 $t=2$ 时均满足,故 $Q$ 在 $\ell$ 上。(A1)

(d) The parallel line $m$ through $R=(0,1,-1)$(d) 过 $R=(0,1,-1)$ 且与 $\ell$ 平行的直线 $m$ A1·A1

A line parallel to $\ell$ has the same direction vector $\mathbf{d}=\langle 2,1,-1\rangle$. Using $R$ as the base point: (A1)与 $\ell$ 平行的直线具有相同方向向量 $\mathbf{d}=\langle 2,1,-1\rangle$。以 $R$ 为基点:(A1)

$$ m:\quad x=2t,\quad y=1+t,\quad z=-1-t. $$

To confirm $m\ne\ell$, check whether $R=(0,1,-1)\in\ell$. From $x=0$: $t=-\tfrac{1}{2}$; then $y=-2-\tfrac{1}{2}=-\tfrac{5}{2}\ne 1$. So $R\notin\ell$, confirming $m$ and $\ell$ are distinct parallel lines. (A1)为确认 $m\ne\ell$,验证 $R=(0,1,-1)$ 是否在 $\ell$ 上。由 $x=0$:$t=-\tfrac{1}{2}$;则 $y=-2-\tfrac{1}{2}=-\tfrac{5}{2}\ne 1$。故 $R\notin\ell$,确认 $m$ 与 $\ell$ 是不同的平行直线。(A1)

Insight. The symmetric equations are the parametric equations with $t$ eliminated, useful for checking point membership without introducing the parameter explicitly. Parallel lines share a direction but not a point; the distinctness check reduces to verifying that the second line's base point does not satisfy the first line's parametric equations.对称式方程是消去参数 $t$ 后的参数方程形式,适用于无需显式引入参数即可判断点是否在直线上的情况。平行直线共享方向但不共点;确认不同性只需验证第二条直线的基点不满足第一条直线的参数方程。
Q8HARDAPPLIEDplanes: equation from three points, distance from a point平面:由三点确定方程、点到平面距离[8 marks]

Points $A=(1,0,0)$, $B=(0,2,0)$, $C=(0,0,3)$ determine plane $\Pi$. (a) Find a normal $\mathbf{n}$ via cross product. (b) Write the scalar equation. (c) Distance from $O=(0,0,0)$ to $\Pi$. (d) Is $\Pi'$: $6x+3y+2z=0$ parallel to, perpendicular to, or at an angle to $\Pi$?三点 $A=(1,0,0)$、$B=(0,2,0)$、$C=(0,0,3)$ 确定平面 $\Pi$。(a) 用叉积求法向量 $\mathbf{n}$。(b) 写出标量方程。(c) 求原点 $O=(0,0,0)$ 到 $\Pi$ 的距离。(d) 判断 $\Pi'$:$6x+3y+2z=0$ 与 $\Pi$ 是平行、垂直还是成一定角度。

Answers:答案:  (a) $\mathbf{n}=\langle 6,3,2\rangle$  ·  (b) $6x+3y+2z=6$  ·  (c) $\tfrac{6}{7}$  ·  (d) $\Pi'$ passes through the origin and its normal is $\mathbf{n}' = \langle 6,3,2\rangle$, parallel to $\mathbf{n}$, so $\Pi\parallel\Pi'$$\Pi'$ 过原点,其法向量 $\mathbf{n}' = \langle 6,3,2\rangle$ 平行于 $\mathbf{n}$,故 $\Pi\parallel\Pi'$

(a) Normal vector from the cross product(a) 用叉积求法向量 M1·M1·A1

Two vectors lying in $\Pi$ are $\overrightarrow{AB}=\langle -1,2,0\rangle$ and $\overrightarrow{AC}=\langle -1,0,3\rangle$. (M1) Compute $\mathbf{n}=\overrightarrow{AB}\times\overrightarrow{AC}$: (M1)平面 $\Pi$ 内的两个向量为 $\overrightarrow{AB}=\langle -1,2,0\rangle$ 和 $\overrightarrow{AC}=\langle -1,0,3\rangle$。(M1) 计算 $\mathbf{n}=\overrightarrow{AB}\times\overrightarrow{AC}$:(M1)

$$ \mathbf{n} = \begin{vmatrix}\mathbf{i}&\mathbf{j}&\mathbf{k}\\-1&2&0\\-1&0&3\end{vmatrix} = \langle 2\cdot 3-0\cdot 0,\;0\cdot(-1)-(-1)\cdot 3,\;(-1)\cdot 0-2\cdot(-1)\rangle = \langle 6,3,2\rangle. $$

(A1)

(b) Scalar plane equation(b) 平面的标量方程 M1·A1

Using point $A=(1,0,0)$ and normal $\langle 6,3,2\rangle$: $6(x-1)+3(y-0)+2(z-0)=0$. (M1) Simplify: $6x+3y+2z=6$. (A1)用点 $A=(1,0,0)$ 和法向量 $\langle 6,3,2\rangle$:$6(x-1)+3(y-0)+2(z-0)=0$。(M1) 化简:$6x+3y+2z=6$。(A1)

(c) Distance from the origin to $\Pi$(c) 原点到 $\Pi$ 的距离 M1·A1

The point-to-plane distance formula gives, for the origin $(0,0,0)$ and plane $6x+3y+2z=6$: (M1)对原点 $(0,0,0)$ 和平面 $6x+3y+2z=6$ 应用点到平面距离公式:(M1)

$$ d = \frac{|6(0)+3(0)+2(0)-6|}{\sqrt{6^2+3^2+2^2}} = \frac{6}{\sqrt{36+9+4}} = \frac{6}{\sqrt{49}} = \frac{6}{7}. $$

(A1)

(d) Relationship between $\Pi$ and $\Pi'$(d) $\Pi$ 与 $\Pi'$ 的位置关系 A1

The normal to $\Pi'$ is $\mathbf{n}'=\langle 6,3,2\rangle$, which is identical to $\mathbf{n}$, the normal to $\Pi$. Since the normals are parallel, the planes are parallel. (Note that $\Pi'$ passes through the origin, since $6(0)+3(0)+2(0)=0$, while $\Pi$ does not. So the planes are distinct and parallel.) (A1)$\Pi'$ 的法向量 $\mathbf{n}'=\langle 6,3,2\rangle$ 与 $\Pi$ 的法向量 $\mathbf{n}$ 完全相同。由于法向量平行,两平面平行。(注意 $\Pi'$ 过原点,因为 $6(0)+3(0)+2(0)=0$,而 $\Pi$ 不过原点。故两平面不同且平行。)(A1)

Insight. Three non-collinear points determine a plane uniquely because two vectors in the plane determine a normal via the cross product, and a single point pins down the constant. The $6/7$ distance to the origin has a neat interpretation: the intercept form of $\Pi$ is $\tfrac{x}{1}+\tfrac{y}{2}+\tfrac{z}{3}=1$, and the origin is the point being measured from. Two planes with proportional normals are parallel; equal normals and equal constants mean the same plane.三个不共线的点唯一确定一个平面,这是因为平面内两个向量通过叉积确定法向量,再由一个点定出常数项。$6/7$ 的距离有一个简洁的解释:$\Pi$ 的截距式为 $\tfrac{x}{1}+\tfrac{y}{2}+\tfrac{z}{3}=1$,原点是被测量的点。法向量成比例的两个平面平行;法向量相同且常数项相同则为同一平面。
Q9HARDAPPLIEDdistance between skew lines; line-plane intersection; intersection of two planes异面直线距离;直线与平面交点;两平面的交线[6 marks]

(a) $L_1: \mathbf{r}_1=\langle 1,0,0\rangle+t\langle 1,1,0\rangle$, $L_2: \mathbf{r}_2=\langle 0,1,0\rangle+s\langle 0,1,1\rangle$. Show they are skew and find the distance between them. (b) The line $\mathbf{r}=\langle 2,0,-1\rangle+t\langle 1,-1,3\rangle$ meets $x+2y+z=7$; find the point.(a) $L_1: \mathbf{r}_1=\langle 1,0,0\rangle+t\langle 1,1,0\rangle$,$L_2: \mathbf{r}_2=\langle 0,1,0\rangle+s\langle 0,1,1\rangle$。证明它们是异面直线并求距离。(b) 直线 $\mathbf{r}=\langle 2,0,-1\rangle+t\langle 1,-1,3\rangle$ 与平面 $x+2y+z=7$ 相交,求交点。

Answers:答案:  (a) skew (non-parallel, non-intersecting); distance $=\tfrac{2\sqrt{3}}{3}$异面(不平行、不相交);距离 $=\tfrac{2\sqrt{3}}{3}$  ·  (b) $(5,-3,8)$

(a) Skew lines and the distance formula(a) 异面直线与距离公式 M1·A1·M1·A1

The direction vectors are $\mathbf{d}_1=\langle 1,1,0\rangle$ and $\mathbf{d}_2=\langle 0,1,1\rangle$. Since $\mathbf{d}_1$ is not a scalar multiple of $\mathbf{d}_2$, the lines are not parallel. (M1)方向向量为 $\mathbf{d}_1=\langle 1,1,0\rangle$ 和 $\mathbf{d}_2=\langle 0,1,1\rangle$。由于 $\mathbf{d}_1$ 不是 $\mathbf{d}_2$ 的数量倍,两直线不平行。(M1)

Compute the common perpendicular direction: $\mathbf{d}_1\times\mathbf{d}_2 = \langle 1,-1,1\rangle$ (since $\langle 1\cdot 1-0\cdot 1,\;0\cdot 0-1\cdot 1,\;1\cdot 1-1\cdot 0\rangle=\langle 1,-1,1\rangle$). Now check whether the lines actually intersect: the vector connecting a point on $L_1$ to a point on $L_2$ is $\overrightarrow{P_1P_2}=\langle 0,1,0\rangle-\langle 1,0,0\rangle=\langle -1,1,0\rangle$. For intersection we would need $\overrightarrow{P_1P_2}=t\mathbf{d}_1-s\mathbf{d}_2$ to be solvable; computing $\overrightarrow{P_1P_2}\cdot(\mathbf{d}_1\times\mathbf{d}_2)=\langle -1,1,0\rangle\cdot\langle 1,-1,1\rangle=-1-1+0=-2\ne 0$, which proves the lines are skew. (A1)计算公垂线方向:$\mathbf{d}_1\times\mathbf{d}_2 = \langle 1,-1,1\rangle$(因为 $\langle 1\cdot 1-0\cdot 1,\;0\cdot 0-1\cdot 1,\;1\cdot 1-1\cdot 0\rangle=\langle 1,-1,1\rangle$)。检验两直线是否相交:连接 $L_1$ 上一点与 $L_2$ 上一点的向量为 $\overrightarrow{P_1P_2}=\langle 0,1,0\rangle-\langle 1,0,0\rangle=\langle -1,1,0\rangle$。若相交,方程 $\overrightarrow{P_1P_2}=t\mathbf{d}_1-s\mathbf{d}_2$ 须有解;计算 $\overrightarrow{P_1P_2}\cdot(\mathbf{d}_1\times\mathbf{d}_2)=\langle -1,1,0\rangle\cdot\langle 1,-1,1\rangle=-1-1+0=-2\ne 0$,证明两直线为异面直线。(A1)

The distance between skew lines is $d = \dfrac{|\overrightarrow{P_1P_2}\cdot(\mathbf{d}_1\times\mathbf{d}_2)|}{|\mathbf{d}_1\times\mathbf{d}_2|}$. (M1)异面直线间的距离为 $d = \dfrac{|\overrightarrow{P_1P_2}\cdot(\mathbf{d}_1\times\mathbf{d}_2)|}{|\mathbf{d}_1\times\mathbf{d}_2|}$。(M1)

$$ |\mathbf{d}_1\times\mathbf{d}_2| = |\langle 1,-1,1\rangle| = \sqrt{3}. \qquad d = \frac{|-2|}{\sqrt{3}} = \frac{2}{\sqrt{3}} = \frac{2\sqrt{3}}{3}. $$

(A1)

(b) Line-plane intersection(b) 直线与平面的交点 M1·A1

Substitute the parametric equations $x=2+t$, $y=-t$, $z=-1+3t$ into the plane $x+2y+z=7$: (M1)将参数方程 $x=2+t$,$y=-t$,$z=-1+3t$ 代入平面 $x+2y+z=7$:(M1)

$$ (2+t)+2(-t)+(-1+3t)=7 \implies 2+t-2t-1+3t=7 \implies 1+2t=7 \implies t=3. $$

(A1) The intersection point is $\langle 2+3,\;0-3,\;-1+9\rangle = (5,-3,8)$. Check: $5+2(-3)+8=5-6+8=7$ ✓.(A1) 交点为 $\langle 2+3,\;0-3,\;-1+9\rangle = (5,-3,8)$。验证:$5+2(-3)+8=5-6+8=7$ ✓。

Insight. The key test for skew lines is $\overrightarrow{P_1P_2}\cdot(\mathbf{d}_1\times\mathbf{d}_2)\ne 0$: the vector connecting points on the two lines has a nonzero projection onto the mutual perpendicular, which is exactly what "not coplanar with both direction vectors" means. For the line-plane intersection, substituting the parametric form turns a 3-D geometry question into a single linear equation in $t$.异面直线的关键判定是 $\overrightarrow{P_1P_2}\cdot(\mathbf{d}_1\times\mathbf{d}_2)\ne 0$:连接两直线上各点的向量在公垂线方向上的投影不为零,这正是"与两方向向量不共面"的含义。对于直线与平面的交点,代入参数形式将三维几何问题转化为关于 $t$ 的单个线性方程。
Q10HARDAPPLIEDtorque via cross product; intersection line of two planes; quadric surface classification叉积求力矩;两平面交线;二次曲面分类[6 marks]

(a) Torque $\boldsymbol{\tau}=\mathbf{r}\times\mathbf{F}$ with $\mathbf{r}=\langle 2,-1,3\rangle$ m and $\mathbf{F}=\langle 0,4,-2\rangle$ N. (b) Intersection line of $x+y+z=6$ and $2x-y+z=3$. (c) Identify each quadric surface: (i) $x^2/4+y^2/9+z^2=1$, (ii) $z=x^2+y^2/4$, (iii) $x^2+y^2-z^2=1$.(a) 力矩 $\boldsymbol{\tau}=\mathbf{r}\times\mathbf{F}$,$\mathbf{r}=\langle 2,-1,3\rangle$ m,$\mathbf{F}=\langle 0,4,-2\rangle$ N。(b) 求平面 $x+y+z=6$ 与 $2x-y+z=3$ 的交线。(c) 判断各二次曲面类型:(i) $x^2/4+y^2/9+z^2=1$,(ii) $z=x^2+y^2/4$,(iii) $x^2+y^2-z^2=1$。

Answers:答案:  (a) $\boldsymbol{\tau}=\langle -10,4,8\rangle$ N m, $|\boldsymbol{\tau}|=6\sqrt{5}$ N m  ·  (b) direction $\langle 2,1,-3\rangle$, point $(3,3,0)$, parametric $x=3+2t$, $y=3+t$, $z=-3t$方向 $\langle 2,1,-3\rangle$,点 $(3,3,0)$,参数方程 $x=3+2t$,$y=3+t$,$z=-3t$  ·  (c) (i) ellipsoid, (ii) elliptic paraboloid (axis along $z$), (iii) hyperboloid of one sheet (axis along $z$)(i) 椭球面,(ii) 椭圆抛物面(轴沿 $z$ 轴),(iii) 单叶双曲面(轴沿 $z$ 轴)

(a) Torque as a cross product(a) 用叉积计算力矩 M1·A1·A1

Compute $\boldsymbol{\tau} = \mathbf{r}\times\mathbf{F}$ using the $3\times 3$ determinant: (M1)用 $3\times 3$ 行列式计算 $\boldsymbol{\tau} = \mathbf{r}\times\mathbf{F}$:(M1)

$$ \boldsymbol{\tau} = \begin{vmatrix}\mathbf{i}&\mathbf{j}&\mathbf{k}\\2&-1&3\\0&4&-2\end{vmatrix} = \langle (-1)(-2)-3\cdot 4,\;3\cdot 0-2\cdot(-2),\;2\cdot 4-(-1)\cdot 0\rangle = \langle 2-12,\;0+4,\;8-0\rangle = \langle -10,4,8\rangle. $$

(A1) The magnitude is $|\boldsymbol{\tau}|=\sqrt{100+16+64}=\sqrt{180}=6\sqrt{5}$ N m. (A1)(A1) 模长为 $|\boldsymbol{\tau}|=\sqrt{100+16+64}=\sqrt{180}=6\sqrt{5}$ N m。(A1)

The torque vector $\langle -10,4,8\rangle$ is perpendicular to both $\mathbf{r}$ and $\mathbf{F}$; its direction gives the axis of rotation by the right-hand rule.力矩向量 $\langle -10,4,8\rangle$ 同时垂直于 $\mathbf{r}$ 和 $\mathbf{F}$;其方向由右手定则给出转轴方向。

(b) Intersection line of two planes(b) 两平面的交线 M1·A1

Direction vector: $\mathbf{n}_1\times\mathbf{n}_2 = \langle 1,1,1\rangle\times\langle 2,-1,1\rangle$. (M1)方向向量:$\mathbf{n}_1\times\mathbf{n}_2 = \langle 1,1,1\rangle\times\langle 2,-1,1\rangle$。(M1)

$$ \mathbf{n}_1\times\mathbf{n}_2 = \langle 1\cdot 1-1\cdot(-1),\;1\cdot 2-1\cdot 1,\;1\cdot(-1)-1\cdot 2\rangle = \langle 2,1,-3\rangle. $$

Find a point: set $z=0$. Then $x+y=6$ and $2x-y=3$. Adding: $3x=9$, $x=3$, $y=3$. Point $(3,3,0)$ lies on both planes (verify: $3+3+0=6$ ✓; $6-3+0=3$ ✓). (A1) Parametric equations of the intersection line:求一个点:令 $z=0$。则 $x+y=6$,$2x-y=3$。两式相加:$3x=9$,$x=3$,$y=3$。点 $(3,3,0)$ 在两平面上(验证:$3+3+0=6$ ✓;$6-3+0=3$ ✓)。(A1) 交线的参数方程:

$$ x = 3+2t,\quad y = 3+t,\quad z = -3t. $$

(c) Quadric surface identification(c) 二次曲面识别 A1·A1

(i) $\dfrac{x^2}{4}+\dfrac{y^2}{9}+z^2=1$: this matches $\dfrac{x^2}{a^2}+\dfrac{y^2}{b^2}+\dfrac{z^2}{c^2}=1$ with $a=2$, $b=3$, $c=1$. It is an ellipsoid.(i) $\dfrac{x^2}{4}+\dfrac{y^2}{9}+z^2=1$:符合 $\dfrac{x^2}{a^2}+\dfrac{y^2}{b^2}+\dfrac{z^2}{c^2}=1$,其中 $a=2$,$b=3$,$c=1$。这是椭球面

(ii) $z = x^2+\dfrac{y^2}{4}$: this matches $z = \dfrac{x^2}{a^2}+\dfrac{y^2}{b^2}$ (opening in the positive $z$-direction). It is an elliptic paraboloid with axis along the $z$-axis.(ii) $z = x^2+\dfrac{y^2}{4}$:符合 $z = \dfrac{x^2}{a^2}+\dfrac{y^2}{b^2}$(沿正 $z$ 方向开口)。这是轴沿 $z$ 轴的椭圆抛物面

(iii) $x^2+y^2-z^2=1$: this matches $\dfrac{x^2}{a^2}+\dfrac{y^2}{b^2}-\dfrac{z^2}{c^2}=1$ with positive sum minus one squared term. It is a hyperboloid of one sheet with axis along the $z$-axis. (A1 for two correct; A1 for all three correct)(iii) $x^2+y^2-z^2=1$:符合 $\dfrac{x^2}{a^2}+\dfrac{y^2}{b^2}-\dfrac{z^2}{c^2}=1$,正项之和减去一个平方项。这是轴沿 $z$ 轴的单叶双曲面。(答对两个 A1;答对全部三个 A1)

Insight. The torque cross product encodes both the magnitude of the rotational effect and its axis: the right-hand rule turns $\mathbf{r}$ toward $\mathbf{F}$ and the thumb points along $\boldsymbol{\tau}$. For quadric surfaces, the standard classification rule is: all positive terms on the left equal to $1$ gives an ellipsoid; two positive and one negative give a hyperboloid of one sheet; one missing coordinate on the right of an equation gives a paraboloid. Hyperboloids of two sheets arise when there are two negative squared terms, giving $\tfrac{x^2}{a^2}+\tfrac{y^2}{b^2}-\tfrac{z^2}{c^2}=-1$ (or equivalently $\tfrac{z^2}{c^2}-\tfrac{x^2}{a^2}-\tfrac{y^2}{b^2}=1$).力矩叉积同时蕴含旋转效果的大小和轴:右手定则将 $\mathbf{r}$ 转向 $\mathbf{F}$,拇指指向 $\boldsymbol{\tau}$ 的方向。对于二次曲面,标准分类规则为:左边全正项等于 $1$ 为椭球面;两正一负为单叶双曲面;方程右边缺少一个坐标为抛物面。两叶双曲面出现在有两个负平方项时,形如 $\tfrac{x^2}{a^2}+\tfrac{y^2}{b^2}-\tfrac{z^2}{c^2}=-1$(等价于 $\tfrac{z^2}{c^2}-\tfrac{x^2}{a^2}-\tfrac{y^2}{b^2}=1$)。