Lecture Note: §12 Vectors and the Geometry of Space

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Last Update: 2026-04-09


§12.1 Three-Dimensional Coordinate Systems

  • Three-Dimensional Coordinate Systems
    • The direction of the $z$-axis is determined by the right-hand rule
  • Distance in Three Dimensions \(\lvert P_1 P_2\rvert = \sqrt{(x_2 - x_1)^{2} + (y_2 - y_1)^{2} + (z_2 - z_1)^{2}}\)
    • Equation of a Sphere: $(x - x_0)^{2} + (y - y_0)^{2} + (z - z_0)^{2} = a^{2}$

§12.2 Vectors

  • Definition: The vector represented by the directed line segment $\overrightarrow{AB}$ has initial point $A$ and terminal point $B$, and its length is denoted by $\lvert\overrightarrow{AB}\rvert$. Two vectors are equal if they have the same length and direction.
    • The component form of $\vec{v}$ is \(\vec{v} = \langle v_1, v_2 \rangle\quad\text{or}\quad \vec{v} = \langle v_1, v_2, v_3 \rangle.\)
    • If $\vec{v} \neq \vec{0}$, then
      • $\dfrac{\vec{v}}{\lvert\vec{v}\rvert}$ is a unit vector called the direction of $\vec{v}$;
      • the equation $\vec{v} = \lvert\vec{v}\rvert \dfrac{\vec{v}}{\lvert\vec{v}\rvert}$ expresses $\vec{v}$ as its length times its direction.
  • The magnitude or length of the vector $\vec{v}$ \(\lvert \vec{v}\rvert = \sqrt{v_1^2 + v_2^2 + v_3^2}\)

  • Vector Operations
    • Addition: $\vec{u} + \vec{v} = \langle u_1 + v_1,\ u_2 + v_2,\ u_3 + v_3 \rangle$
    • Scalar multiplication: $k\vec{u} = \langle k u_1,\ k u_2,\ k u_3 \rangle$
    • Properties of Vector Operations
  • Unit Vectors. A vector $\vec{v}$ of length $1$ is called a unit vector. The standard unit vectors are \(\vec{i} = \langle 1, 0, 0 \rangle, \quad \vec{j} = \langle 0, 1, 0 \rangle, \quad \text{and} \quad \vec{k} = \langle 0, 0, 1 \rangle.\)

  • The midpoint $M$ of the line segment joining points $P_1(x_1, y_1, z_1)$ and $P_2(x_2, y_2, z_2)$ is the point \(\left( \frac{x_1 + x_2}{2},\ \frac{y_1 + y_2}{2},\ \frac{z_1 + z_2}{2} \right).\)

§12.3 The Dot Product

  • Dot Product \(\vec{u} \cdot \vec{v} = u_1 v_1 + u_2 v_2 + u_3 v_3.\)
    • The angle $\theta$ between two nonzero vectors $\mathbf{u}$ and $\mathbf{v}$ is \(\theta = \arccos\left( \frac{\mathbf{u} \cdot \mathbf{v}}{|\mathbf{u}| |\mathbf{v}|} \right).\)
    • $\vec{u} \cdot \vec{v} = \lvert \vec{u}\rvert \lvert \vec{v}\rvert \cos\theta$.
    • Properties of the Dot Product
  • Orthogonal. Vectors $\vec{u}$ and $\vec{v}$ are orthogonal if $\vec{u} \cdot \vec{v} = 0$.

  • The vector projection of $\vec{u}$ onto $\vec{v}$ is the vector \(\operatorname{proj}_{\vec{v}} \vec{u} = \left( \dfrac{\vec{u} \cdot \vec{v}}{\lvert\vec{v}\rvert^{2}} \right) \vec{v} = \left( \dfrac{\vec{u} \cdot \vec{v}}{\lvert\vec{v}\rvert} \right) \dfrac{\vec{v}}{\lvert\vec{v}\rvert}.\)

§12.4 The Cross Product

  • Cross Product. \(\vec{u} \times \vec{v} = (\lvert\vec{u}\rvert \lvert\vec{v}\rvert \sin \theta)\ \vec{n}.\)
    • $\lvert \vec{u} \times \vec{v}\rvert = \lvert\vec{u}\rvert \lvert\vec{v}\rvert \sin \theta$ is the area of a parallelogram
    • Nonzero vectors $\vec{u}$ and $\vec{v}$ are parallel if and only if $\vec{u} \times \vec{v} = \vec{0}$.
    • Properties of the Cross Product
      1. $(r\vec{u}) \times (s\vec{v}) = (rs)(\vec{u} \times \vec{v})$
      2. $\vec{u} \times (\vec{v} + \vec{w}) = \vec{u} \times \vec{v} + \vec{u} \times \vec{w}$
      3. $\vec{v} \times \vec{u} = -(\vec{u} \times \vec{v})$
      4. $(\vec{v} + \vec{w}) \times \vec{u} = \vec{v} \times \vec{u} + \vec{w} \times \vec{u}$
      5. $\vec{0} \times \vec{u} = \vec{0}$
      6. $\vec{u} \times (\vec{v} \times \vec{w}) = (\vec{u} \cdot \vec{w})\vec{v} - (\vec{u} \cdot \vec{v})\vec{w}$
    • Calculating the Cross Product as a Determinant \(\vec{u} \times \vec{v} = \begin{vmatrix} \vec{i} & \vec{j} & \vec{k} \\ u_1 & u_2 & u_3 \\ v_1 & v_2 & v_3 \end{vmatrix}.\)
  • Triple Scalar or Box Product: $(\vec{u} \times \vec{v}) \cdot \vec{w}$
    • The absolute value of this product is the volume of the parallelepiped.
    • Calculating the Triple Scalar Product as a Determinant\((\vec{u} \times \vec{v}) \cdot \vec{w} = \begin{vmatrix} u_1 & u_2 & u_3 \\ v_1 & v_2 & v_3 \\ w_1 & w_2 & w_3 \end{vmatrix}\) —

§12.5 Lines and Planes in Space

  • Equation for a Line
    • Vector Equation: \(\vec{r}(t) = \vec{r}_0 + t\vec{v}, \quad -\infty < t < \infty,\)
    • Parametric Equation: \(x = x_0 + tv_1, \quad y = y_0 + tv_2, \quad z = z_0 + tv_3, \quad -\infty < t < \infty.\)
    • Symmetric Equation: \(\frac{x - x_0}{v_1} = \frac{y-y_0}{v_2} = \frac{z - z_0}{v_3}\)
    • Line of Intersection of Two Plane\(\begin{cases}A_1x + B_1y + C_1z = D_1\\ A_2 x + B_2y + C_2z = D_2\end{cases}\)
  • Distance from a Point $S$ to a Line Through $P$ Parallel to $\vec{v}$ \(d = \frac{\lvert\overrightarrow{PS} \times \vec{v}\rvert}{\lvert\vec{v}\rvert}\)

  • Equation for a Plane in Space.
    • Vector equation: \(\vec{n} \cdot \overrightarrow{P_0P} = 0\)
    • Component equation: \(A(x - x_0) + B(y - y_0) + C(z - z_0) = 0\)
    • Component equation simplified: \(Ax + By + Cz = D, \quad \text{where} \quad D = Ax_0 + By_0 + Cz_0\)
  • Distance from a Point $S$ to a Plane Through a Point $P$ with a Normal $\vec{n}$ \(d = \left\lvert \overrightarrow{PS} \cdot \frac{\vec{n}}{\lvert\vec{n}\rvert} \right\rvert\)
    • Distance between two parallel planes
    • Distance between skew lines

§12.6 Cylinders and Quadric Surfaces

  • Cylinder
    • A cylinder is a surface that is generated by moving a line that is parallel to the given line along the curve, while keeping it parallel to the given line. The curve is called a generating curve for the cylinder.
  • Quadratic Surfaces
    • A quadric surface is the graph in space of a second-degree equation in $x$, $y$, and $z$. The simplest equation \(Ax^{2} + By^{2} + Cz^{2} + Dz = E,\) where $A$, $B$, $C$, $D$, and $E$ are constants. The basic quadric surfaces are ellipsoids, paraboloids, elliptical cones, and hyperboloids. Spheres are special cases of ellipsoids.