Coordinate on sphere(vector calculus)

In summary, the conversation discusses the problem of calculating the coordinates of Point 2 on the surface of a sphere, given the center and another point (P1). The solution involves setting up a Cartesian coordinate system and using the properties of position vectors and Euclidean distance to find the desired point. However, there is not enough information to uniquely determine the coordinates of Point 2 without additional conditions.
  • #1
TravelGirl
9
0
I have a sphere, with center x0,y0,z0 and a radius r.
Furthermore I have a point 1 outside the sphere x1,y1,z1.
But now I want to calculate the coordinates of Point 2, which is on the surface of the sphere, and the CenterP2P1 is 90 degrees there.

With these two points known points (Center & P1), I want to make a triangle.
Sides:
- Center - P1 (length calculated by Euclidean distance)
- Center - P2 (length = radius of the sphere)
- P1 - P2 (length = Pythagoras formula)

With Euclidean distances it is easy to calculate all the lengths of all the sides.

But can someone point me towards the possible very simple solution of this problem, how to calculate the coordinate of point 2?
 
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  • #2
You don't have enough information to calculate the co ordinates.

You need the distance from another known point.
 
  • #3
If we set up an orthonormal (Cartesian) coordinate system with its origin at the centre of the sphere, then we can represent point 2 with a position vector r extending from the origin to the surface of the sphere, and point 1 with another position vector p.

[tex]\left ( \textbf{p}-\textbf{r} \right ) \cdot \textbf{r} = 0[/tex]

[tex]\textbf{r} \cdot \textbf{p} = \textbf{r} \cdot \textbf{r} = \left \| \textbf{r} \right \|^2[/tex]

[tex]\left \| \textbf{p} \right \| \; \cos\left ( \textbf{p},\textbf{r} \right )=\left \| \textbf{r} \right \|[/tex]

[tex]\sum_{k=1}^{3}r_k \; p_k = \sum_{k=1}^{3}r_k \; r_k[/tex]

where [itex]r_1[/itex] is the x-component of r, and [itex]r_2[/itex] its y-component, and so on. And cos(p,r) is the cosine of the angle between the position vectors of the two points.

But there are infinitely many vectors r that satisfy this condition. They describe a circle on the surface of the sphere. You would need some other condition to uniquely identify a particular point P2 on the surface with this property.
 

FAQ: Coordinate on sphere(vector calculus)

1. What is a coordinate on a sphere?

A coordinate on a sphere is a set of values that specifies a point on the surface of a sphere. It is typically represented by two angles, such as latitude and longitude, or by a vector that points from the center of the sphere to the point on its surface.

2. How do you convert between different coordinate systems on a sphere?

There are various mathematical formulas and algorithms that can be used to convert between different coordinate systems on a sphere. These conversions often involve converting between spherical coordinates (such as latitude and longitude) and Cartesian coordinates.

3. What is the significance of the unit vector in vector calculus on a sphere?

In vector calculus, the unit vector on a sphere is a vector that has a magnitude of 1 and points in the direction of a particular point on the surface of the sphere. It is commonly used in calculations involving curvature and other geometric properties of the sphere.

4. How is the gradient of a scalar function defined on a sphere?

The gradient of a scalar function on a sphere is defined as the vector that points in the direction of the steepest increase of the function at a particular point on the surface of the sphere. It is calculated by taking the partial derivatives of the function with respect to the spherical coordinates.

5. What is the relationship between the divergence and the curl of a vector field on a sphere?

On a sphere, the divergence and curl of a vector field are related through the Gauss's divergence theorem and the Stokes' theorem. These theorems state that the divergence of a vector field is equal to the net flux of the field through a closed surface, while the curl of a vector field is equal to the line integral of the field around a closed loop.

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