Scalar product and vector product

In summary, The cross product of A and B is defined as a vector that is perpendicular to both A and B, while the dot product of A and B can be proven using the cosine rules for addition and difference of two vectors. Additionally, the definition for the magnitude of a vector is given by the inner product of the vector with itself, and there is no proof for a definition.
  • #1
prashant singh
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why do we take cross product of A X B as a line normal to the plane which contains A and B. I also need a proof of A.B = |A||B|cos(theta), I have seen many proves but they have used inter product ,A.A = |A|^2, which is a result of dot product with angle = 0, we can't use this too prove the dot product formula.
First one is more important please help.
 
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  • #2
prashant singh said:
why do we take cross product of A X B as a line normal to the plane which contains A and B.
You asked why, well it's because a vector product is defined that way. It's defined such that the result of the product is perpendicular to any linear combination of A and B.
prashant singh said:
I also need a proof of A.B = |A||B|cos(theta)
Consider the cosine rules for the addition and the difference between two vectors.
$$
|\vec{A}+\vec{B}|^2 = |\vec{A}|^2 + |\vec{B}|^2 + 2|\vec{A}||\vec{B}| \cos\theta \\
|\vec{A}-\vec{B}|^2 = |\vec{A}|^2 + |\vec{B}|^2 - 2|\vec{A}||\vec{B}| \cos\theta \\
$$
 
  • #3
Regarding the first question: We need some fundamental operation that reflects rotations in R3 from direction A to direction B. A nice operation would be linear in both A and B and would be anti-commutative ( AxB = -BxA ). The definition of the cross product fits the bill.
 
  • #4
In euclidean 2D space, if [itex]\mathbf{a} = (a \cos \phi, a \sin \phi)[/itex] and [itex]\mathbf{b} = (b \cos \alpha, b \sin \alpha)[/itex] then by basic trigonometry [tex]\mathbf{a} \cdot \mathbf{b} = (a \cos \phi, a \sin \phi) \cdot (b \cos \alpha, b \sin \alpha) = ab \cos \phi \cos\alpha + ab \sin \phi \sin \alpha = ab \cos(\phi - \alpha),[/tex] or [tex]
\mathbf{a} \cdot \mathbf{b} = \|\mathbf{a}\|\|\mathbf{b}\| \cos\theta[/tex] where [itex]\theta = \phi - \alpha[/itex] is the angle between [itex]\mathbf{a}[/itex] and [itex]\mathbf{b}[/itex].

In arbitrary inner product spaces, [itex]\|a\| = (a \cdot a)^{1/2}[/itex] is the definition of [itex]\|a\|[/itex], and after one has proven from basic properties of the inner product that [itex]|a \cdot b| \leq \|a\|\|b\|[/itex] one can then define [itex]\theta[/itex] by [itex]a \cdot b = \|a\|\|b\| \cos \theta[/itex].
 
  • #5
So you are saying that ||a|| = (a.a)^1/2 is the defination given by the founders and there is no proof for this . But why there is no proof .
 
  • #6
prashant singh said:
So you are saying that ||a|| = (a.a)^1/2 is the defination given by the founders and there is no proof for this . But why there is no proof .
In general, there is no proof for a definition. That would not be logical.

The definition tells the some meaning of something.
 
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FAQ: Scalar product and vector product

1. What is the difference between scalar and vector quantities?

Scalar quantities are described by magnitude alone, while vector quantities have both magnitude and direction. Examples of scalar quantities include temperature and mass, while examples of vector quantities include displacement and velocity.

2. What is the formula for calculating the scalar product of two vectors?

The formula for calculating the scalar product (also known as dot product) of two vectors, A and B, is A · B = |A||B|cosθ, where |A| and |B| are the magnitudes of the two vectors and θ is the angle between them.

3. How do you find the direction of the vector product?

The direction of the vector product (also known as cross product) of two vectors, A and B, is perpendicular to both A and B. The right-hand rule can be used to determine the direction: point your right-hand fingers in the direction of A and curl them towards B. Your thumb will then point in the direction of the vector product.

4. What is the geometric interpretation of the scalar product?

The scalar product of two vectors represents the product of their magnitudes and the cosine of the angle between them. Geometrically, it can be interpreted as the projection of one vector onto the other, multiplied by the length of the other vector.

5. Can the scalar product of two vectors be negative?

Yes, the scalar product of two vectors can be negative if the angle between them is greater than 90 degrees. This indicates that the two vectors are pointing in opposite directions.

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