Definition: The Dot Product, aka the Scalar Product I − − If → v =< v1 , v2 > and → w =< w1 , w2 >, then def → − − v ·→ w = < v1 , v2 > · < w1 , w2 > = v1 w1 + v2 w2 I − − If → v =< v1 , v2 , v3 > and → w =< w1 , w2 , w3 >, then def → − − v ·→ w = < v1 , v2 , v3 > · < w1 , w2 , w3 > = v1 w1 + v2 w2 + v3 w3 . I − − In general, if → v =< v1 , v2 , . . . , vn > and → w =< w1 , w2 , . . . , wn >, then def → − − v ·→ w = < v1 , . . . , vn > · < w1 , . . . , wn > = v1 w1 + v2 w2 + · · · + vn wn . Math 236-Multi (Sklensky) In-Class Work February 6, 2013 1/8 Important Fact: The Dot/Scalar Product def → − − v ·→ v = v1 v1 + v2 v2 + · · · + vn vn = v12 + v22 + · · · + vn2 2 q 2 2 v1 + · · · + vn = def − = k→ v k2 The dot product of a vector with itself is equal to the square of the length of that vector. Math 236-Multi (Sklensky) In-Class Work February 6, 2013 2/8 In Class Work → − − − Let → a =< 3, 5 >, b =< 7, 2 >, and → c =< 1, 3, −2 >. → − − 1. Find → a · b , if possible. If it’s not possible, why not? → − − 2. Find b · → c , if possible. If it’s not possible, why not? → − − 3. Is the angle between → a and b acute, orthogonal, or obtuse? (Recall: → − − this implies the smaller of the two angles between → a and b .) Do (3) without calculating the angle. → − − 4. Find the angle between → a and b . → − 5. Find two vectors perpendicular to b . − 6. Find three vectors perpendicular to → c. Math 236-Multi (Sklensky) In-Class Work February 6, 2013 3/8 Solutions: → − − − Let → a =< 3, 5 >, b =< 7, 2 >, and → c =< 1, 3, −2 >. → − − 1. Find → a · b , if possible. If it’s not possible, why not? → − → − a · b =< 3, 5 > · < 7, 2 >= 21 + 10 = 31. → − − 2. Find b · → c , if possible. If it’s not possible, why not? → − − Because b sits in 2-dimensions and → c sits in 3, this is not possible. Math 236-Multi (Sklensky) In-Class Work February 6, 2013 4/8 Solutions: → − − − Let → a =< 3, 5 >, b =< 7, 2 >, and → c =< 1, 3, −2 >. → − − 3. Is the angle between → a and b acute, orthogonal, or obtuse? Do (5) without calculating the angle. We know that → − → − a · b = kak kbk cos(θ). → − → − − − a · b depends Since the magnitudes k→ a k, k b k are positive, the sign of → completely on the sign of cos(θ) ... which in turn depends completely on whether the angle is acute or obtuse. → − − Thus since → a · b > 0, θ must be acute. Math 236-Multi (Sklensky) In-Class Work February 6, 2013 5/8 Solutions: → − − − Let → a =< 3, 5 >, b =< 7, 2 >, and → c =< 1, 3, −2 >. → − − 4. Find the angle between → a and b . → − → − a · b = kak kbk cos(θ) √ √ 31 = 9 + 25 49 + 4 cos(θ) 31 √ √ = cos(θ) 34 53 31 θ = arccos √ ≈ arccos(0.73027) 1802 θ = .752 radians Math 236-Multi (Sklensky) In-Class Work February 6, 2013 6/8 Solutions: → − − − Let → a =< 3, 5 >, b =< 7, 2 >, and → c =< 1, 3, −2 >. → − 5. Find two vectors perpendicular to b . → − In order to be perpendicular to b , the dot product must be zero. < x, y > · < 7, 2 >= 0 ⇒ 7x + 2y = 0. The vectors < −2, 7 > and < 2, −7 > seem like the most obvious choices. Any other choice will turn out to be a multiple of these two, since there are only two directions perpendicular to this vector in 2-space. Math 236-Multi (Sklensky) In-Class Work February 6, 2013 7/8 Solutions: → − − − Let → a =< 3, 5 >, b =< 7, 2 >, and → c =< 1, 3, −2 >. − 6. Find three vectors perpendicular to → c. < x, y , z > · < 1, 3, −2 >= 0 ⇒ 1x + 3y − 2z = 0. I If x = 1 and y = 1, then 1 + 3 − 2z = 0, so z = 2. Thus < 1, 1, 2 > − is orthogonal to → c I If x = 1 and z = 1, then 1 + 3y − 2 = 0, so y = 31 . Thus < 1, 13 , 1 > − is orthogonal to → c as well. I If y = 1 and z = 1, then x + 3 − 2 = 0, so x = −1. Thus − < −1, 1, 1 > is a third vector orthogonal to → c. Notice: none of these three are multiples of any of the others. In space, there are an infinite number of directions perpendicular to any given vector. Math 236-Multi (Sklensky) In-Class Work February 6, 2013 8/8
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