Dot & Vector Product
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Transcript of Dot & Vector Product
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6.4
Vectors and Dot Products
The Definition of the Dot Product of Two Vectors
The dot product of u = and v = is
€
u1,u2
€
v1,v2
€
u ⋅v = u1v1 + u2v2
Ex.’s Find each dot product.
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a. 4,5 ⋅ 2,3
b. 2,−1 ⋅ 1,2
c. 0,3 ⋅ 4,−2€
=4 2( ) + 5 3( ) = 23
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=2 1( ) + −1( ) 2( ) = 0
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=0 4( ) + 3 −2( ) = −6
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Properties of the Dot Product
Let u, v, and w be vectors in the plane or in space and let c be a scalar.
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u ⋅v = v ⋅u0 ⋅v = 0u ⋅ v + w( ) = u ⋅v + u ⋅w
v ⋅v = v 2
c u ⋅v( ) = cu ⋅v = u ⋅cv
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Let
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u = −1,3 , v = 2,−4 , and w = 1,−2
Find
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u ⋅v( )w First, find u . v
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u ⋅v = −1( ) 2( ) + 3 −4( ) = −14
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u ⋅v( )w
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=−14 1,−2 = −14,28
Find u . 2v = 2(u . v) = 2(-14) = -28
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The Angle Between Two Vectors
If is the angle between two nonzero vectors u and v, then
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θ
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cosθ = u ⋅vu v
Find the angle between
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u = 4,3 & v = 3,5€
v = 3,5
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u = 4,3
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cosθ =4,3 ⋅ 3,54,3 3,5
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=27
5 34
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θ =arccos 275 34
≈ 22.2°
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Definition of Orthogonal Vectors (90 degree angles)
The vectors u and v are orthogonal if u . v = 0
Are the vectors orthogonal?
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u = 2,−3 & v = 6,4
Find the dot product of the two vectors.
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u ⋅v = 2,−3 ⋅ 6,4 = 2 6( ) + −3( ) 4( ) = 0
Because the dot product is 0, the two vectors are orthogonal.
End of notes.
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Finding Vector ComponentsLet u and v be nonzero vectors such that u = w1 + w2
where w1 and w2 are orthogonal and w1 is parallel to(or a scalar multiple of) v. The vectors w1 and w2 are called vector components of u. The vector w1 is the projection of u onto v and is denoted by w1 = projvu.The vector w2 is given by w2 = u - w1.
w2
v
u
w1
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θ
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θ is acute
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{w1
u w2
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{
€
θ€
θ is obtuse
v
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Projection of u onto v
Let u and v be nonzero vectors. The projection of u onto v is
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projvu = u ⋅vv 2
⎛
⎝ ⎜ ⎜
⎞
⎠ ⎟ ⎟v
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Find the projection of onto Then write u as the the sum of two orthogonal vectors, one which is projvu.
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u = 3,−5
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v = 6,2 .
w1 = projvu =
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u ⋅vv 2
⎛
⎝ ⎜ ⎜
⎞
⎠ ⎟ ⎟v = 8
40 ⎛ ⎝ ⎜
⎞ ⎠ ⎟ 6,2 = 6
5, 25
w2 = u - w1 =
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3,5 − 65
,25
= 95
,− 275
So,
u = w1 + w2 =
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65
,25
+ 95
,− 275
= 3,−5