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Coplanar points

Coplanar points

Given any three points one may always find a plane containing all three of them. However, for more than three points, there may not always be a plane containing all of them. Coplanar points are three or more points that lie in the same plane. The problem of determining whether a set of points are coplanar is interesting in the case of more than three points since three or fewer are always coplanar.

One approach to determining whether a given set of vectors is coplanar is to write the equation of the plane for the first three points provided that they are not collinear (i.e. that they do not lie on the same line) and then to check that the remaining points satisfy the derived equation of the plane in the form rn=d\boldsymbol{r} \cdot \boldsymbol{n}=d.

We may also use the scalar triple product, a(b×c)\boldsymbol{a} \cdot(\boldsymbol{b} \times \boldsymbol{c}) to determine if a,b,c\boldsymbol{a}, \boldsymbol{b}, \boldsymbol{c} lie on the same plane through the origin. Now, b×c\boldsymbol{b} \times \boldsymbol{c} is perpendicular to the plane containing b\boldsymbol{b} and c\boldsymbol{c} (and the origin). If the scalar triple product, a(b×c)\boldsymbol{a} \cdot(\boldsymbol{b} \times \boldsymbol{c}) is 0 then the origin, a,b\boldsymbol{a}, \boldsymbol{b}, and c\boldsymbol{c} are coplanar.

Three vectors a,b,c\boldsymbol{a}, \boldsymbol{b}, \boldsymbol{c} are coplanar iff

a=λb+μc\boldsymbol{a}=\lambda \boldsymbol{b}+\mu \boldsymbol{c}

or

b=λa+μc\boldsymbol{b}=\lambda \boldsymbol{a}+\mu \boldsymbol{c}

or

c=λa+μb\boldsymbol{c}=\lambda \boldsymbol{a}+\mu \boldsymbol{b}

for some scalar λ,μ\lambda, \mu. Rearranging (9.34) we obtain

aλb+μc=0\boldsymbol{a}-\lambda \boldsymbol{b}+\mu \boldsymbol{c}=0

which implies that a,b\boldsymbol{a}, \boldsymbol{b}, and c\boldsymbol{c} are linearly dependent.

Definition 9.8 Linear dependence and independence

The vectors a,b\boldsymbol{a}, \boldsymbol{b}, and c\boldsymbol{c} are said to be linearly dependent if there exist real scalars α\alpha, β,γ\beta, \gamma, not all zero such that

αa+βb+γc=0\alpha \boldsymbol{a}+\beta \boldsymbol{b}+\gamma \boldsymbol{c}=\mathbf{0}

If a,b\boldsymbol{a}, \boldsymbol{b}, and c\boldsymbol{c} are not linearly dependent, they are linearly independent. This is expressed by

αa+βb+γc=0\alpha \boldsymbol{a}+\beta \boldsymbol{b}+\gamma \boldsymbol{c}=\mathbf{0}

provided that α=β=γ=0\alpha=\beta=\gamma=0. Example 9.6 Show that A=(2,3,4),B=(2,3,6),C=(1,1,1)A=(2,3,4), B=(2,3,6), C=(1,1,1), and D=(1,1,5)\mathrm{D}=(1,1,5) are coplanar.

Solution We start with the three points, say A,BA, B, and CC and define two direction vectors (there are more than one way to choose these) as follows

r1=AB=(0,0,2),r2=AC=(1,2,3)\boldsymbol{r}_{\mathbf{1}}=\overrightarrow{A B}=(0,0,2), \quad \boldsymbol{r}_{\mathbf{2}}=\overrightarrow{A C}=(-1,-2,-3)

We also denote the position vectors of points AA and DD as a\boldsymbol{a} and d\boldsymbol{d}, respectively. Using r1r_{1} and r2r_{2}, the points A,B,CA, B, C lie on a plane with equation

r=(2,3,4)+λr1+μr2\boldsymbol{r}=(2,3,4)+\lambda \boldsymbol{r}_{\mathbf{1}}+\mu \boldsymbol{r}_{\mathbf{2}}

Next, we need to show that the fourth point, DD also lies on the plane. We now define AD=(1,2,1)\overrightarrow{A D}=(-1,-2,1) which is equivalent to (da)(\boldsymbol{d}-\boldsymbol{a}) and ask if it lies on the same plane as the other 3 points. We proceed by taking the cross product of r1\boldsymbol{r}_{\mathbf{1}} and r2\boldsymbol{r}_{\mathbf{2}} which gives a vector that is perpendicular to the plane containing A,BA, B, and CC,

r1×r2=(4,2,0).\boldsymbol{r}_{1} \times \boldsymbol{r}_{2}=(4,-2,0) .

We expect the dot product between (da)(\boldsymbol{d}-\boldsymbol{a}) and r1×r2\boldsymbol{r}_{\mathbf{1}} \times \boldsymbol{r}_{\mathbf{2}} to be 0 if (da)(\boldsymbol{d}-\boldsymbol{a}) also lies in the plane. Indeed,

(1,2,1)(4,2,0)=0.(-1,-2,1) \cdot(4,-2,0)=0 .

Alternatively, we can show that the four points are coplanar by checking that the dot product of a\boldsymbol{a} with r1×r2\boldsymbol{r}_{\mathbf{1}} \times \boldsymbol{r}_{\mathbf{2}} gives the same result as the dot product of d\boldsymbol{d} with r1×r2\boldsymbol{r}_{\mathbf{1}} \times \boldsymbol{r}_{\mathbf{2}}. Since the dot product is a linear operator,

(da)(r1×r2)=d(r1×r2)a(r1×r2)(d-a) \cdot\left(r_{1} \times r_{2}\right)=d \cdot\left(r_{1} \times r_{2}\right)-a \cdot\left(r_{1} \times r_{2}\right)

Hence, the two terms on the RHS are equal if and only if the LHS is 0 .