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The direction of a vector. Let us find the angle between two vectorsand .

The direction of a vector. Let us find the angle between two vectorsand . - раздел Образование, Chapter 2. Analytic Geometry Consider The Inner Product ...

Consider the inner product

.

We have

. (*)

Writing the product and absolute values in coordinates, we obtain

. (**)

Example 3. Find an angle between vectors and . By using formula (**), we find

,

Example 4. Find the ort-vector for the vector .

Let us determine a condition for vectors to be perpendicular. Suppose that vectors and are perpendicular, i.e., ; then , and

. (7)

This is the condition for vectors to be perpendicular.

z

0 y

x

Consider the angles between a vector and the unit vectors . We denote these angles by

; ; .

Take the product of and any unit vector, say, =

.

By formula (*), the cosine of the angle a from it is

.

Similarly the cosines of the other angles are

, , . (8)

These cosines are called the directional cosines of the vector.

The sum of the squared directional cosines equals one:

.

To prove this, it sufficies to square the cosines by formula (8) and sum them:

.

Example 5. For what a are the vectors

and

perpendicular?

We use the perpendicularity condition (7) and write the inner product of the given vectors in coordinates:

; , a=10.

Example 6. Given the vectors and , find the inner product .

, .

The required product is

.

 

Example 7. Prove that the sum of the squared lengths of the diagonals in a parallelogram equals the sum of the squared sides of this parallelogram (by using inner product).

Consider the parallelogram

 

The sum of the inner squares of the diagonals equals

 

.

Since, the inner square of a vector equals the square of its absolute value, we obtain

.

– Конец работы –

Эта тема принадлежит разделу:

Chapter 2. Analytic Geometry

Vector Algebra Operations on Vectors... Definition A directed interval or an ordered pair of points is called a vector...

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Все темы данного раздела:

Linear Operations on Vectors
Definition. The product of a vector and a real number l is the vector

Decomposition of vectors.
Theorem 1. An arbitrary vectorin the plane can be decomposed into two noncollinear vectors:

When a vector is multiplied by a number l, each coordinate of this vector is multiplied by this number.
Remark.Relation (2) is a written in vector notation; the coordinate notation of a vector is

Inner Product of Vectors and its Properties
Definition. The inner product of two vectors and

The inner product of vectors in coordinates. Consider two vectors
and . The last proper

The inner product of vectors is equal to the sum of products of their coordinates.
Example 1. -? and

Vector Product and Its Properties
  We have considered a product of two vectors equal to a number (inner product) .

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