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Calculus-III
by Dr. Umer Farooq
Comsats Institute of Information Technology (CIIT), Islamabad
Lecture No 3
Outlines of Lecture 02
•Vector Addition, Subtraction and Scalar Multiplication•Unit Vector, Normalization of a Vector•Vectors Determined by Length and Angle•Resultant of Two and Three Forces
Dot Product and Projections
Definition: If and are vectors in 2-space then the
dot product between and is defined as and is defined as Similarly, if and are
vectors in 3-Space then the dot product is defined as
),( 21 uuu
),( 21 vvv
u
v
vu
2211 vuvuvu
),,( 321 uuuu
),,( 321 vvvv
332211 vuvuvuvu
Dot Product and Projections
Example 3.1 Find the dot product in the following cases.
Solution:
Dot Product and Projections
vIf , and are three vectors , then the following results hold
u
w
Dot Product and Projections
uTheorem: If and are vectors in 2-space or 3-space and if is the angle between them then
Proof:
v
Dot Product and Projections
Dot Product and Projections
Example 3.2 Find the angle between the vector and(a) (b) (c)
Solution:
kjiu22
kjiv263
kjiw672
kjiz663
Dot Product and Projections
Dot Product and Projections
Dot Product and Projections
Perpendicular and Parallel Vectors:
Dot Product and Projections
Direction Angles In an xy-coordinate system, the direction of a non-
zero vector is completely determined by the angles and between and the unit vectors and .
v
v i j
Fig.3.1
Dot Product and Projections
Fig.3.2
Direction Angles
Dot Product and Projections
Direction Cosines In both 2-space and 3-space the angle between a
non-zero vector and , and are called the direction angles of , and the cosines of those angles are called the direction cosines of .
If
v ij
k
v
v
Dot Product and Projections
Example 3.3 Find the direction cosines of the vector
and approximate the direction angles to the nearest degree.
Solution:
kjiv442
Dot Product and Projections
Dot Product and Projections
Example 3.4 Find the angle between a diagonal of the cube and one of its
edges.
Solution:
Decomposing Vectors into Orthogonal Vectors : In many applications it is desirable to “decompose” a
vector into a sum of two orthogonal vectors with convenient specified directions. For example fig. 3.3 shows an inclined plane. The downward force that gravity exerts on the block can be decomposed into the sum
Dot Product and Projections
F
21
FFF
Fig.3.3
Dot Product and Projections Decomposing Vectors into Orthogonal Vectors : where the force is parallel to the ramp and the
force is perpendicular to the ramp. The forces
and are useful because is the force that pulls the block along the ramp and is the force that block exerts against the ramp.
1
F2
F
1
F 2
F 1
F
2
F
Dot Product and Projections Decomposing Vectors into Orthogonal Vectors :
Dot Product and Projections Decomposing Vectors into Orthogonal Vectors :
Dot Product and Projections Decomposing Vectors into Orthogonal Vectors :
Dot Product and Projections
Example 3.5 Let , and
Find the scalar and vector components of along andSolution:
)3,2(
v )2
1,2
1(1 e )
2
1,2
1(2 e
v 1e
2e
Dot Product and Projections
Dot Product and Projections
Example 3.6 A rope is attached to a 100 lb block on a ramp that is inclined
at an angle of with the ground. How much force does the block exert against the ramp, and how much force must be applied to a rope in a direction parallel to the ramp to prevent the block from sliding down the ramp?
Solution:
30
Dot Product and Projections
Dot Product and Projections
Orthogonal Projections
Dot Product and Projections
Dot Product and Projections
Example 3.7Find the orthogonal projection of on and then find the vector component of orthogonal
to .Solution:
kjiv
jib22
v
b
Dot Product and Projections
Dot Product and Projections
Example 3.8 Find so that the vector from the point
to the point is orthogonal to the vector from to the point
Solution:
)3,1,1( A
)5,0,3(B
A ),,,( rrrP
r
Dot Product and Projections
Example 3.9 Find two unit vectors in 2-space that make an angle
of with . Solution:
Dot Product and Projections
45 ji34
Dot Product and Projections
Dot Product and Projections
Have a Nice Day Thank You
Vectors