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Chapter 5 �Dot, Inner and Cross Products

5.1 Length of a vector

5.2 Dot Product

5.3 Inner Product

5.4 Cross Product

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5.1 Length and Dot Product in Rn

  • Length:

The length of a vector in Rn is given by

  • Notes: Properties of length

is called a unit vector.

  • Notes: The length of a vector is also called its norm.

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  • Ex 1:

(a) In R5, the length of is given by

(b) In R3 the length of is given by

(v is a unit vector)

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  • A standard unit vector in Rn:

u and v have the same direction

u and v have the opposite direction

  • Notes: (Two nonzero vectors are parallel)
  • Ex:

the standard unit vector in R2:

the standard unit vector in R3:

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  • Thm 5.1: (Length of a scalar multiple)

Let v be a vector in Rn and c be a scalar. Then

Pf:

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  • Thm 5.2: (Unit vector in the direction of v)

If v is a nonzero vector in Rn, then the vector

has length 1 and has the same direction as v. This vector u is called the unit vector in the direction of v.

Pf:

v is nonzero

(u has the same direction as v)

(u has length 1 )

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  • Notes:

(1) The vector is called the unit vector in the direction of v.

(2) The process of finding the unit vector in the direction of v

is called normalizing the vector v.

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  • Ex 2: (Finding a unit vector)

Find the unit vector in the direction of ,

and verify that this vector has length 1.

is a unit vector.

Sol:

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  • Distance between two vectors:

The distance between two vectors u and v in Rn is

  • Notes: (Properties of distance)

(1)

(2) if and only if

(3)

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  • Ex 3: (Finding the distance between two vectors)

The distance between u=(0, 2, 2) and v=(2, 0, 1) is

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5.2 Dot Product

  • Dot product in Rn:

The dot product of and

is the scalar quantity

  • Ex 4: (Finding the dot product of two vectors)

The dot product of u=(1, 2, 0, -3) and v=(3, -2, 4, 2) is

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  • Thm 5.3: (Properties of the dot product)

If u, v, and w are vectors in Rn and c is a scalar,

then the following properties are true.

(1)

(2)

(3)

(4)

(5) , and if and only if

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  • Euclidean n-space:

Rn was defined to be the set of all order n-tuples of real numbers. When Rn is combined with the standard operations of vector addition, scalar multiplication, vector length, and the dot product, the resulting vector space is called Euclidean n-space.

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Sol:

  • Ex 5: (Finding dot products)
  1. (b) (c) (d) (e)

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  • Ex 6: (Using the properties of the dot product)

Given

Sol:

Find

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  • Ex 7: (An example of the Cauchy - Schwarz inequality)

Verify the Cauchy - Schwarz inequality for u=(1, -1, 3)

and v=(2, 0, -1)

  • Thm 5.4: (The Cauchy - Schwarz inequality)

If u and v are vectors in Rn, then

( denotes the absolute value of )

Sol:

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  • The angle between two vectors in Rn:

  • Note:

The angle between the zero vector and another vector is not defined.

Opposite

direction

Same

direction

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  • Ex 8: (Finding the angle between two vectors)

Sol:

u and v have opposite directions.

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  • Orthogonal vectors:

Two vectors u and v in Rn are orthogonal if

  • Note:

The vector 0 is said to be orthogonal to every vector.

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  • Ex 10: (Finding orthogonal vectors)

Determine all vectors in Rn that are orthogonal to u=(4, 2).

Let

Sol:

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  • Thm 5.5: (The triangle inequality)

If u and v are vectors in Rn, then

Pf:

  • Note:

Equality occurs in the triangle inequality if and only if

the vectors u and v have the same direction.

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  • Thm 5.6: (The Pythagorean theorem)

If u and v are vectors in Rn, then u and v are orthogonal

if and only if

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  • Dot product and matrix multiplication:

(A vector in Rn

is represented as an n×1 column matrix)

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5.3 Inner Product

  • Inner product:

Let u, v, and w be vectors in a vector space V, and let c be any scalar. An inner product on V is a function that associates a real number <u, v> with each pair of vectors u and v and satisfies the following axioms.

(1)

(2)

(3)

(4) and if and only if

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  • Note:
  • Note:

A vector space V with an inner product is called an inner product space.

Vector space:

Inner product space:

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  • Ex 1: (The Euclidean inner product for Rn)

Show that the dot product in Rn satisfies the four axioms of an inner product.

Sol:

By Theorem 5.3, this dot product satisfies the required four axioms. Thus it is an inner product on Rn.

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  • Ex 2: (A different inner product for Rn)

Show that the function defines an inner product on R2, where and .

Sol:

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  • Note: (An inner product on Rn)

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  • Ex 3: (A function that is not an inner product)

Show that the following function is not an inner product on R3.

Sol:

Let

Axiom 4 is not satisfied.

Thus this function is not an inner product on R3.

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  • Thm 5.7: (Properties of inner products)

Let u, v, and w be vectors in an inner product space V, and let c be any real number.

(1)

(2)

(3)

  • Norm (length) of u:
  • Note:

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u and v are orthogonal if .

  • Distance between u and v:
  • Angle between two nonzero vectors u and v:
  • Orthogonal:

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  • Notes:

(1) If , then v is called a unit vector.

(2)

(the unit vector in the

direction of v)

not a unit vector

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  • Ex 6: (Finding inner product)

is an inner product

Sol:

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  • Properties of norm:

(1)

(2) if and only if

(3)

  • Properties of distance:

(1)

(2) if and only if

(3)

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  • Thm 5.8:

Let u and v be vectors in an inner product space V.

(1) Cauchy-Schwarz inequality:

(2) Triangle inequality:

(3) Pythagorean theorem :

u and v are orthogonal if and only if

Theorem 5.5

Theorem 5.6

Theorem 5.4

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  • Orthogonal projections in inner product spaces:

Let u and v be two vectors in an inner product space V, such that . Then the orthogonal projection of u onto v is given by

  • Note:

If v is a init vector, then .

The formula for the orthogonal projection of u onto v takes the following simpler form.

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  • Ex 10: (Finding an orthogonal projection in R3)

Use the Euclidean inner product in R3 to find the orthogonal projection of u=(6, 2, 4) onto v=(1, 2, 0).

Sol:

  • Note:

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  • Thm 5.9: (Orthogonal projection and distance)

Let u and v be two vectors in an inner product space V, such that . Then

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5.4 Cross Product

  • Cross product in R3:

The cross product of and

is the vector quantity

  • Ex 11: (Finding the cross product of two vectors)

The cross product of u=(1, 2, 0) and v=(3, -2, 4) is

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  • Thm 5.10: Relationships involving cross product and dot product

Let u, v and w be 3 vectors in R3, then:

  • Thm 5.11: Properties of involving cross product

Let u, v and w be 3 vectors in R3 and k a scalar, then:

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  • Thm 5.12: Scalar triple product

Let u, v and w be 3 vectors in R3, then:

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