Vector dot product in spherical co-ordinate

In summary, to evaluate the dot product of two vectors in a spherical coordinate system, you can use the formula (r1r2) cos(θ1) cos(θ2) + (r1r2) sin(θ1) sin(θ2) cos(ϕ1 - ϕ2). However, it may be easier to visualize and calculate the dot product in a Cartesian system. To convert the vectors into a Cartesian system, you can use the conversion formulas x = r sin(θ) cos(ϕ), y = r sin(θ) sin(ϕ), and z = r cos(θ). The angle between the two vectors in a Cartesian system can be calculated using the dot product formula as
  • #1
clumps tim
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Hi, I am interested to see how to use the vector dot product formula in spherical coordinate system,

$$ V_1= r + \theta, at (1,0,0)$$ and $$ V_2= r - \theta, at (1, \frac{\pi}{2}, \frac{\pi}{2})$$

how to evaluate their dot product? do I have to transfer them into cartesian system? what would be the angle between them in cartesian system , please help
 
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  • #2


Hello,

Thank you for your interest in using the vector dot product formula in a spherical coordinate system. To evaluate the dot product of two vectors in spherical coordinates, you do not necessarily have to transfer them into a Cartesian system. However, it may be easier to visualize and calculate the dot product in a Cartesian system.

To evaluate the dot product of two vectors, V1 and V2, in spherical coordinates, you can use the following formula:

V1 ⋅ V2 = (r1r2) cos(θ1) cos(θ2) + (r1r2) sin(θ1) sin(θ2) cos(ϕ1 - ϕ2)

In your case, V1 = r + θ at (1,0,0) and V2 = r - θ at (1, π/2, π/2). To evaluate their dot product, you would plug in the values of r, θ, and ϕ for each vector into the formula above.

Alternatively, if you would like to transfer the vectors into a Cartesian system, you can use the following conversion formulas:

x = r sin(θ) cos(ϕ)
y = r sin(θ) sin(ϕ)
z = r cos(θ)

Using these conversion formulas, you can transfer the vectors V1 and V2 into Cartesian coordinates and then calculate their dot product using the traditional formula:

V1 ⋅ V2 = x1x2 + y1y2 + z1z2

The angle between the two vectors in a Cartesian system can be calculated using the dot product formula as well:

cos(θ) = (V1 ⋅ V2) / (|V1| |V2|)

I hope this helps. Please let me know if you have any further questions. Good luck with your calculations!
 

1. What is the definition of a vector dot product in spherical co-ordinates?

The vector dot product in spherical co-ordinates, also known as the scalar product, is a mathematical operation that takes two vectors and returns a scalar value. It is calculated by multiplying the magnitudes of the two vectors and the cosine of the angle between them.

2. How is the vector dot product expressed in terms of the spherical co-ordinate system?

In the spherical co-ordinate system, the dot product is expressed as the product of the radial component (r) and the cosine of the angle between the two vectors. This is represented by the equation: A · B = |A| |B| cosθ, where A and B are the two vectors, |A| and |B| are their magnitudes, and θ is the angle between them.

3. What is the significance of the vector dot product in physics and engineering?

The vector dot product has many applications in physics and engineering, such as calculating work and energy, determining the direction of forces, and finding the angle between two vectors. It is also used in the calculation of torque and determining the orientation of objects in 3D space.

4. How does the vector dot product in spherical co-ordinates relate to the Cartesian coordinate system?

The vector dot product in spherical co-ordinates can be converted to the Cartesian coordinate system using the following equations: x = r sinθ cosφ, y = r sinθ sinφ, z = r cosθ. Once the values for x, y, and z are obtained, the dot product can be calculated using the traditional method of multiplying the corresponding components.

5. Are there any limitations or special considerations when using the vector dot product in spherical co-ordinates?

One limitation of using the vector dot product in spherical co-ordinates is that it is only applicable for three-dimensional vectors. Additionally, care must be taken when dealing with vectors that are pointing in opposite directions, as this can result in a negative value for the dot product. Lastly, it is important to keep in mind the different conventions for representing spherical co-ordinates, such as using either (r, θ, φ) or (r, φ, θ) order.

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