\mcv4U\vectors\collinear and coplanar.doc
MCV 4U Collinear and Coplanar Vectors
1. Two vectors are collinear if one is a scalar multiple of the other.
Ex. If
= , where ‘
k
‘ is a real number,
then
are collinear
2. i) Any two (2) non-collinear vectors are coplanar.
ii) If three non-collinear vectors are coplanar, any one of them can be expressed as a
linear combination of the other two.
i) ii)
3. Non-coplanar vectors
4. Linearly Dependent vectors.
i) collinear in 2-space,
R
R
2
2
= , where
ℜ∈
i
i
i
i
)
)
coplanar in 3-space,
R
R
3
3
+= , where
5. Linearly Independent vectors
No simple equation relating the vectors either linearly or in the same plane
6. Example
Given:
−=
,
8,4,6 −−=
b
and
−=
.
Find: Determine whether
ba
,
and
form a basis of a plane (ie. whether they are
coplanar and can be written as a linear combination).
*We must first check whether they’re non-collinear (ie. none are scalar multiples of others)
cmbka
,≠
∴none are collinear
Sol’n: Let
s
and
t
be scalars such that
+=
.
][ ][ ][
][ ][ ][
][ ][
tststs
tttsss
ts
btasc
84,4,634,3,7
8,4,64,1,34,3,7
8,4,64,1,34,3,7
−−−+=−
−−+−=−
−−+−=−
+=
All on the
same
surface
3
1
3
5
==
satisfy all three
equations, the linear combination
exists and vectors
cba
,,
are
coplanar (ie. form a basis of a plane)