Dot product: Difference between revisions

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The dot product, or scalar product, is a type of [[vector space|vector]] multiplication in the Euclidean spaces, and is widely used in many areas of mathematics and physics. In <math>\mathbb{R}^3</math> there is another type of multiplication called the [[cross product]] ( or vector product), but it is only defined and makes sense in general for this particular vector space. Both the dot product and the  cross product are widely used in in the study of optics, mechanics, electromagnetism, and gravitational fields, for example.
The dot product, or scalar product, is a type of [[vector space|vector]] multiplication in the Euclidean spaces, and is widely used in many areas of mathematics and physics. In <math>\mathbb{R}^3</math> there is another type of multiplication called the [[cross product]] ( or vector product), but it is only defined and makes sense in general for this particular vector space. Both the dot product and the  cross product are widely used in in the study of optics, mechanics, electromagnetism, and gravitational fields, for example.


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<b>A</b> • <b>B</b> = |<b>A</b>||<b>B</b>|cosθ<sub>AB</sub>
<b>A</b> • <b>B</b> = |<b>A</b>||<b>B</b>|cosθ<sub>AB</sub>


In cartesian coordinates of dimension ''n>3'' it has to be defined in a different way because it is no longer possible to visualize an "angle" between two vectors and there is no "natural" definition for it. In fact, in this case it is the inner product which is defined directly while the notion of an angle is ''derived'' from this definition. For ''n>3'', the dot product between <b>A</b> and <b>B</b> is defined as:
In cartesian coordinates of dimension ''n>3'' it has to be defined in a different way because it is no longer possible to visualize an "angle" between two vectors and there is no "natural" definition for it. In fact, in this case the contrary is true: it is the inner product which is defined directly while the notion of an angle is ''derived'' from this definition. For ''n>3'', the dot product between <b>A</b> and <b>B</b> is defined as:


<b>A</b> • <b>B</b> = A<sub>1</sub>B<sub>1</sub> + A<sub>2</sub>B<sub>2</sub> + ... + A<sub>n</sub>B<sub>n</sub>  
<b>A</b> • <b>B</b> = A<sub>1</sub>B<sub>1</sub> + A<sub>2</sub>B<sub>2</sub> + ... + A<sub>n</sub>B<sub>n</sub>  


and the angle θ<sub>AB</sub> between <b>A</b> and <b>B</b> is then defined as
and the cosine of the angle θ<sub>AB</sub> between <b>A</b> and <b>B</b> is then defined as


<math>\theta_{AB}=\frac{\mathbf A \cdot \mathbf B}{|\mathbf A||\mathbf B|},</math>  
<math>\cos \theta_{AB}=\frac{\mathbf A \cdot \mathbf B}{|\mathbf A||\mathbf B|},</math>  


where <math>|\mathbf A|=(\mathbf A \cdot \mathbf A)^{1/2}</math> and <math>|\mathbf B|=(\mathbf B \cdot \mathbf B)^{1/2}</math> are, respectively, the magnitudes of <b>A</b> and <b>B</b>.  
where <math>|\mathbf A|=(\mathbf A \cdot \mathbf A)^{1/2}</math> and <math>|\mathbf B|=(\mathbf B \cdot \mathbf B)^{1/2}</math> are, respectively, the magnitudes of <b>A</b> and <b>B</b>.  


The dot product is a scalar, not another vector (unlike the cross product in <math>\mathbb{R}^3</math>), and it obeys the following laws:
The dot product is a scalar, not another vector (unlike the [[cross product]] in <math>\mathbb{R}^3</math>), and it obeys the following laws:
#<b>A</b> • <b>B</b> = <b>B</b> • <b>A</b> (commutativity or symmetry)
#<b>A</b> • <b>B</b> = <b>B</b> • <b>A</b> (commutativity or symmetry)
#(<b>A</b><sub>1</sub> + <b>A</b><sub>2</sub>) • <b>B</b> = <b>A</b><sub>1</sub> • <b>B</b> + <b>A</b><sub>2</sub> • <b>B</b> (distributivity)     
#(<b>A</b><sub>1</sub> + <b>A</b><sub>2</sub>) • <b>B</b> = <b>A</b><sub>1</sub> • <b>B</b> + <b>A</b><sub>2</sub> • <b>B</b> (distributivity)     
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The first and second laws also imply that <b>A</b> • (<b>B</b><sub>1</sub> + <b>B</b><sub>2</sub>) = <b>A</b> • <b>B</b><sub>1</sub> + <b>A</b> • <b>B</b><sub>2</sub>
The first and second laws also imply that <b>A</b> • (<b>B</b><sub>1</sub> + <b>B</b><sub>2</sub>) = <b>A</b> • <b>B</b><sub>1</sub> + <b>A</b> • <b>B</b><sub>2</sub>
Two vectors with zero dot product are said to be ''orthogonal'' to each other.


=== Use in calculating [[work]] in physics ===
=== Use in calculating [[work]] in physics ===
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Work =  <b>F</b> • <b>L</b> (linear motion)
Work =  <b>F</b> • <b>L</b> (linear motion)


Work = <math>\int</math><b>F</b> • <b><math>d</math>L</b> (non-linear motion)
Work = <math>\int</math><b>F</b> • <b><math>d</math>L</b> (non-linear motion)[[Category:Suggestion Bot Tag]]
 
=== Circular cylindrical coordinates ===
 
=== Spherical coordinates ===

Latest revision as of 16:00, 8 August 2024

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The dot product, or scalar product, is a type of vector multiplication in the Euclidean spaces, and is widely used in many areas of mathematics and physics. In there is another type of multiplication called the cross product ( or vector product), but it is only defined and makes sense in general for this particular vector space. Both the dot product and the cross product are widely used in in the study of optics, mechanics, electromagnetism, and gravitational fields, for example.

Definition

Given two vectors, A = (A1, ... ,An) and B = (B1, ... ,Bn) in with , the dot product is defined as the product of the magnitude of A, the magnitude of B and the cosine of the smaller angle between them.

AB = |A||B|cosθAB

In cartesian coordinates of dimension n>3 it has to be defined in a different way because it is no longer possible to visualize an "angle" between two vectors and there is no "natural" definition for it. In fact, in this case the contrary is true: it is the inner product which is defined directly while the notion of an angle is derived from this definition. For n>3, the dot product between A and B is defined as:

AB = A1B1 + A2B2 + ... + AnBn

and the cosine of the angle θAB between A and B is then defined as

where and are, respectively, the magnitudes of A and B.

The dot product is a scalar, not another vector (unlike the cross product in ), and it obeys the following laws:

  1. AB = BA (commutativity or symmetry)
  2. (A1 + A2) • B = A1B + A2B (distributivity)
  3. (cA) • B= A • (cB)=c(AB) for any real number c

The first and second laws also imply that A • (B1 + B2) = AB1 + AB2

Two vectors with zero dot product are said to be orthogonal to each other.

Use in calculating work in physics

In mechanics, when a constant force F is applied over a straight displacement L, the work performed is FL cosθFL, more compactly written as the dot product below. Note in the special case the force and displacement are parallel, work = force distance.

Work = FL (linear motion)

Work = FL (non-linear motion)