68 CHAPTER 5. FUNDAMENTALS
a vector, the vector which is meant, is this position vector just described. Another termassociated with this is standard position. A vector is in standard position if the tail isplaced at the origin.
It is customary to identify the point in Rn with its position vector.The magnitude of a vector determined by a directed line segment−→pq is just the distance
between the point p and the point q. By the distance formula this equals(n
∑k=1
(qk− pk)2
)1/2
= |p−q|
and for v any vector in Rn the magnitude of v equals(∑
nk=1 v2
k
)1/2= |v|.
Example 5.8.3 Consider the vector v ≡ (1,2,3) in Rn. Find |v| .
First, the vector is the directed line segment (arrow) which has its base at 0 ≡ (0,0,0)and its point at (1,2,3) . Therefore,
|v|=√
12 +22 +32 =√
14.
What is the geometric significance of scalar multiplication? If a represents the vectorv in the sense that when it is slid to place its tail at the origin, the element of Rn at its pointis a, what is rv?
|rv|=
(n
∑k=1
(rai)2
)1/2
=
(n
∑k=1
r2 (ai)2
)1/2
=(r2)1/2
(n
∑k=1
a2i
)1/2
= |r| |v| .
Thus the magnitude of rv equals |r| times the magnitude of v. If r is positive, then thevector represented by rv has the same direction as the vector v because multiplying by thescalar r, only has the effect of scaling all the distances. Thus the unit distance along anycoordinate axis now has length r and in this re-scaled system the vector is represented bya. If r < 0 similar considerations apply except in this case all the ai also change sign. Fromnow on, a will be referred to as a vector instead of an element of Rn representing a vectoras just described. The following picture illustrates the effect of scalar multiplication.
v 2v −2v
Note there are n special vectors which point along the coordinate axes. These are
ei ≡ (0, · · · ,0,1,0, · · · ,0)