Mathematics · Chapter 4
Study notes aligned to the official NEB syllabus.
A vector is a quantity with both magnitude and direction, such as displacement, velocity or force; a plain number with magnitude only is a scalar. In coordinates we write a vector in space as $\vec{a} = a_1\hat{i} + a_2\hat{j} + a_3\hat{k}$, where $\hat{i}, \hat{j}, \hat{k}$ are the unit vectors along the axes. Its magnitude is $|\vec{a}| = \sqrt{a_1^2 + a_2^2 + a_3^2}$. This chapter studies when vectors point along one line or lie in one plane, how any vector can be built from a few basic ones, and the scalar (dot) product together with its geometry and uses.
Two vectors are collinear (parallel) if they lie along the same line or parallel lines, that is, if one is a scalar multiple of the other:
$$\vec{a} \parallel \vec{b} \iff \vec{b} = \lambda,\vec{a} \ \text{ for some scalar } \lambda.$$
In components, $\vec{a} = a_1\hat i + a_2\hat j + a_3\hat k$ and $\vec{b} = b_1\hat i + b_2\hat j + b_3\hat k$ are collinear when their components are proportional, $\dfrac{b_1}{a_1} = \dfrac{b_2}{a_2} = \dfrac{b_3}{a_3}$. Three points $A, B, C$ are collinear when $\vec{AB} = \lambda,\vec{AC}$ for some scalar $\lambda$.
Vectors are coplanar if they lie in (or are parallel to) one common plane. Any two vectors are always coplanar; the real question is about three. Three vectors $\vec a, \vec b, \vec c$ are coplanar exactly when one of them can be written as a linear combination of the other two, or equivalently when their scalar triple product vanishes:
$$\vec a \cdot (\vec b \times \vec c) = \begin{vmatrix} a_1 & a_2 & a_3\ b_1 & b_2 & b_3\ c_1 & c_2 & c_3 \end{vmatrix} = 0.$$
Note that all collinear vectors are automatically coplanar, but coplanar vectors need not be collinear.
Worked example. Show that $\vec a = \hat i + 2\hat j$, $\vec b = \hat j + \hat k$ and $\vec c = \hat i + 3\hat j + \hat k$ are coplanar. The triple product is
$$ \begin{aligned} \begin{vmatrix} 1 & 2 & 0\ 0 & 1 & 1\ 1 & 3 & 1 \end{vmatrix} &= 1(1\cdot 1 - 1\cdot 3) - 2(0\cdot 1 - 1\cdot 1) + 0 \ &= 1(-2) - 2(-1) + 0 = -2 + 2 = 0, \end{aligned} $$
so the three vectors are coplanar. Indeed $\vec c = \vec a + \vec b$, a linear combination of the other two.
A vector is a quantity with both magnitude and direction, such as displacement, velocity or force; a plain number with magnitude only is a scalar. In coordinates we write a vector in space as , where are the unit vectors along the axes. Its magnitude is . This chapter studies when vectors point along one line or lie in one plane, how any vector can be built from a few basic ones, and the scalar (dot) product together with its geometry and uses.
Two vectors are collinear (parallel) if they lie along the same line or parallel lines, that is, if one is a scalar multiple of the other:
In components, and are collinear when their components are proportional, . Three points are collinear when for some scalar .
Vectors are coplanar if they lie in (or are parallel to) one common plane. Any two vectors are always coplanar; the real question is about three. Three vectors are coplanar exactly when one of them can be written as a linear combination of the other two, or equivalently when their scalar triple product vanishes:
Note that all collinear vectors are automatically coplanar, but coplanar vectors need not be collinear.
Worked example. Show that , and are coplanar. The triple product is
so the three vectors are coplanar. Indeed , a linear combination of the other two.