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0.2 Scalar Product

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We can use it to find that angle or to calculate lengths; ... for obtuse angles, cos t is -ve. ... ve if t is obtuse. 6. Vector Projection of u on v: ... – PowerPoint PPT presentation

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Title: 0.2 Scalar Product


1
0.2 Scalar Product ProjectionsSt Bk
Readings in App A Stewart Ch 9_________________
__________________________________________________
__________________________________________________
____________
  • What Why?
  • --------------------------
  • Scalar or Dot Product is a single number that
    holds information about the angle between 2
    vectors.
  • We can use it to find that angle or to calculate
    lengths
  • And to test for perpendicularity very
    important!
  • And to calculate Projections Components. These
    tell us how far a given vector extends in some
    direction of interest!

2
  • Defn of Dot (or Scalar) Product
  • (a1, a2) . (b1,b2) a1b1 a2b2
    NB
  • eg ( 3, -1) . ( 2, 4)
    6 - 4 2.
  • The dot product of a vector with itself gives
    the sq of its length
  • (a, b) . (a. b) a2 b2
    .
  • ie u . u
    u2 NB
  • Know the Rules for Dot Product Study Book
    p12.
  • Defn of the angle between two vectors
  • it is the smallest non-negative (ie
    unsigned) angle.
  • Using the Cosine Rule
  • Th 2, App A, p 166, proves u . v u
    v cos t NB!
  • Hence dot product can be used to find angle t
    cos t u.v

3
  • In u . v u v cos t ,
  • the lengths u v are always ve.
  • Hence the SIGN of u . v is determined by the
    factor cos t .
  • Now for acute angles, cos t is ve
  • for obtuse angles, cos t is -ve.
  • Hence the sign of their dot product of tells us
    about the size of the angle between two vectors
    t
  • they pull together if and only if their dot
    product is ve.
  • they pull apart if and only if their dot
    product is -ve.
  • t

4
  • Tests for Parallel Perpendicular vectors
  • Parallel vectors have angle 0 or ? between
    them
  • They are scalar multiples of each other (App A,
    Th3, p 167).
  • Example (3, -1) (-6, 2) are
    parallel
  • see that (-6, 2) - 2 (3, -1) .
  • Orthogonal (ie perpendicular) vectors make a
    right angle.
  • Substituting cos t 0 for t ?/2 into
    cos t u . v / uv
  • gives the dot product test for non-zero
    vectors u v
  • u v are perpendicular if only
    if u . v 0.

5
  • Scalar Component of u in the direction of v
  • u
  • t v
  • this length ???
  • How far does u project in the direction of v?
  • Using trig, this scalar component is u
    cos t NB
  • But since u . v u v cos t
  • another way to calculate scalar component is
    u .v / v .
  • Eg the scalar projection of (3,1) on ( 3, 4)
    is (94) / 5 .
  • Scalar projection/component is a signed
    distance
  • because cos t is ve if t is acute,
  • - ve if t is obtuse.

6
  • Vector Projection of u on v
  • To express the scalar component or projection as
    a vector quantity, we point it in the direction
    of unit vector v
  • v
  • Projv u u . v v u
    . v v
  • v v v 2
  • We can then decompose (or resolve) u into the
  • sum of two orthogonal vectors u
  • u-p
  • p
  • One is the projection p , which can be found by
    this formula. The other is then simply u - p ,
    found by subtraction.

7
Examples Exercises
8
Homework Read Study Book Section 0.2
  • Without a calculator, give exact values for the
    sine, cos tan of 0 , ?/2 , ? , ?/6 ,
    ?/4 , ?/3 , 3? /4 , -? /4 .
  • The 30/60/90 degree 45/45/90 triangles are
    a big help
  • 1 sqrt2 2 2
  • sqrt 3
  • 1 1 1
  • Appendix A Problems 3.2 Master 1-16, 21-26,
    39.
  • Write full solutions to Q 2, 9, 10, 12, 14, 16,
    34, 39.
  • Study Book Th 1 p 12 try to prove the rules.

9
  • Objectives
  • Be able to
  • use dot product to find angles
  • to determine the relative direction of 2
    vectors
  • spot parallel vectors - as multiples of each
    other
  • use dot product to test for perpendicularity
  • prove use the rules for dot product
  • find the scalar component of one vector on
    another
  • find the vector projection of one on another
  • decompose a vector into the sum of two that are
  • mutually orthogonal
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