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3.1 Vectors in 2-Space, 3-Space, and n-Space: Class Notes

Definition

If n is a positive integer, then an ordered 𝐧-tuple is a sequence of n real numbers (v1,v2,…,vn). The set of all ordered n-tuples is called real 𝐧-space, denoted by Rn.

If a vector 𝐯 in 2-space or 3-space is positioned with its initial point at the origin of a rectangular coordinate system, then the coordinates of its terminal point are components of 𝐯 relative to the coordinate system. The numbers in an n-tuple can be considered coordinates of a point or components of a vector.

#5

a. Find the terminal point of the vector that is equivalent to 𝐮=(1,2) and whose initial point is A(1,1).

b. Find the initial point of the vector that is equivalent to 𝐮=(1,1,3) and whose terminal point is B(−1,−1,2).

Solution

a. Equivalent vectors have the same length and direction. Start at A(1,1) and move by the components of u→=(1,2):

(1+1,1+2)=(2,3).

The vector u = (1, 2) drawn from the origin, and an equivalent copy drawn from A(1, 1) to (2, 3)

Coordinate axes. The vector u→=(1,2) is drawn from the origin. An equivalent copy starts at A(1,1) and ends at (2,3); the two arrows are parallel and the same length.

Check: the copy of u→ has components (terminal minus initial) (2−1,3−1)=(1,2).

Answer: (2,3)

b. (Formal approach) Let D=(a,b,c) be the initial point of u→. Terminal minus initial gives the components:

u→=(−1−a,−1−b,2−c)=(1,1,3),

so −1−a=1, −1−b=1, and 2−c=3. Then a=−2, b=−2, c=−1.

Answer: D(−2,−2,−1)

#7

Find the initial point P of a nonzero vector 𝐮=PQ→ with terminal point Q(3,0,−5) and such that

a. 𝐮 has the same direction as 𝐯=(4,−2,−1).

b. 𝐮 is oppositely directed to 𝐯=(4,−2,−1).

Solution

a. Let P(a,b,c). Then u→=(3−a,0−b,−5−c). Take u→=v→:

3−a=4,0−b=−2,−5−c=−1.

Answer: P(−1,2,−4)

Tip: Any positive multiple of v→ has the same direction, so other answers are possible; choosing u→=v→ gives the simplest one.

b. u→ oppositely directed to v→ means u→=−v→=(−4,2,1). Then, the same as part (a):

3−a=−4,0−b=2,−5−c=1.

Answer: P(7,−2,−6)

Definition

If 𝐯=(v1,v2,…,vn) and 𝐰=(w1,w2,…,wn) are vectors in Rn, and if k is any scalar, then we define

#12

Let 𝐮=(1,2,−3,5,0), 𝐯=(0,4,−1,1,2), and 𝐰=(7,1,−4,−2,3). Find the components of

a. 𝐯+𝐰

b. 3(2𝐮−𝐯)

c. (3𝐮−𝐯)−(2𝐮+4𝐰)

d. 12(𝐰−5𝐯+2𝐮)+𝐯

Solution

a. Add matching components of v→ and w→:

v→+w→=(0+7,4+1,−1+(−4),1+(−2),2+3)

Answer: (7,5,−5,−1,5)

b.

3(2u→−v→)=3(2−0,4−4,−6+1,10−1,0−2)=3(2,0,−5,9,−2)

Answer: (6,0,−15,27,−6)

c.

(3u→−v→)−(2u→+4w→)=(3−0,6−4,−9+1,15−1,0−2)= −(2+28,4+4,−6−16,10−8,0+12)=(3,2,−8,14,−2)−(30,8,−22,2,12)

Answer: (−27,−6,14,12,−14)

Geometrical vector addition

Vector addition: tip-to-tail on the left, parallelogram on the right, with u + v as the diagonal

Left: v→ is placed with its initial point at the tip of u→; u→+v→ goes from the tail of u→ to the tip of v→. Right: u→ and v→ share an initial point and form two sides of a parallelogram (other sides dashed); u→+v→ is the diagonal from the shared initial point.

Scalar multiplication

A vector u and a longer parallel vector k u with k greater than 1

For k>1, ku→ points the same direction as u→ and is k times as long.

Subtraction

Vectors u and v from a common point, with u minus v drawn from the tip of v to the tip of u

u→ and v→ share an initial point. u→−v→ goes from the tip of v→ to the tip of u→, since v→+(u→−v→)=u→.

The zero vector, 𝟎=(0,0,…,0), has length zero.

Written by hand, the zero vector is 0→.

Theorem 3.1.1

If 𝐮, 𝐯, and 𝐰 are vectors in Rn, and if k and m are scalars, then:

a) 𝐮+𝐯=𝐯+𝐮

b) (𝐮+𝐯)+𝐰=𝐮+(𝐯+𝐰)=𝐮+𝐯+𝐰

c) 𝐮+𝟎=𝟎+𝐮=𝐮

d) 𝐮+(−𝐮)=𝟎

e) k(𝐮+𝐯)=k𝐮+k𝐯

f) (k+m)𝐮=k𝐮+m𝐮

g) k(m𝐮)=(km)𝐮

h) 1𝐮=𝐮

Proof of (f)

This proof uses the components of the vectors. Let u→=(u1,u2,…,un) and k,m∈R.

(k+m)u→=((k+m)u1,(k+m)u2,…,(k+m)un)=by definition of scalar multiplication=(ku1+mu1,ku2+mu2,…,kun+mun)=distributive property for real numbers=(ku1,ku2,…,kun)+(mu1,mu2,…,mun)=by definition of vector addition=ku→+mu→=by definition of scalar multiplication

Tip: When we use properties of real numbers, we need to use them on real numbers: here the distributive property is applied to the components (k+m)ui, which are real numbers.

Theorem 3.1.2

If 𝐯 is a vector in Rn and k is a scalar, then:

a) 0𝐯=𝟎

b) k𝟎=𝟎

c) (−1)𝐯=−𝐯

Definition

If 𝐰 is a vector in Rn, then 𝐰 is said to be a linear combination of the vectors 𝐯1,𝐯2,…,𝐯r in Rn if it can be expressed in the form 𝐰=k1𝐯1+k2𝐯2+⋯+kr𝐯r, where each ki is a scalar. The scalars are called the coefficients of the linear combination. In the case where r=1, we have 𝐰=k1𝐯1, in which case the linear combination is a scalar multiple of the vector.

#17

Let 𝐮=(1,−1,3,5) and 𝐯=(2,1,0,−3). Find scalars a and b so that a𝐮+b𝐯=(1,−4,9,18).

Solution

Call the right side c→ and write the vectors as columns:

au→+bv→=c→ ⇒ [1−135]a+[210−3]b=[1−4918]

⇒ [a+2b−a+b3a5a−3b]=[1−4918] ⇒ a+2b=1−a+b=−43a=95a−3b=18

This system has augmented matrix with columns u→, v→, and c→. Row reduce:

[121−11−43095−318]→[12101−1000000]→[10301−1000000]

Answer: a=3, b=−1

Check:

3(1,−1,3,5)−(2,1,0,−3)=(3−2,−3−1,9−0,15+3)=(1,−4,9,18).

Tip: This is overkill, but it lets us practice a matrix approach.