Circular coordinate space using an orthonormal basis

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Discussion Overview

The discussion revolves around the representation of points on a unit circle in R² using two orthonormal vectors A and B. Participants explore how to express any point on this circle through linear combinations of A and B, considering the implications of rigid rotation and the mathematical properties of the vectors involved.

Discussion Character

  • Exploratory
  • Mathematical reasoning
  • Conceptual clarification

Main Points Raised

  • One participant suggests using the expression A*cos(θ) + B*sin(θ) to describe points on the unit circle, while questioning the validity of A*sin(θ) + B*cos(θ).
  • Another participant discusses the relationship between the rotation matrix and the transformation of coordinates, emphasizing the construction of a vector from a basis rather than rotating an existing vector.
  • A different perspective is introduced, stating that any vector in the plane spanned by A and B can be expressed as P=xA+yB, and if the length of P is one, then (x,y) lies on the unit circle.
  • It is noted that there are multiple ways to represent points on the unit circle, such as using (y,x) or even more complex functions like x=sin(5θ), y=cos(5θ), indicating flexibility in representation.
  • One participant expresses appreciation for the clarification provided by another, linking the concept of a vector's norm to the unit circle and reinforcing the idea that trigonometric functions can describe points on the circle.

Areas of Agreement / Disagreement

Participants express various viewpoints on how to represent points on the unit circle, with no consensus reached on a single preferred method. The discussion remains open to multiple interpretations and approaches.

Contextual Notes

Participants acknowledge the freedom in representing points on the unit circle, highlighting that the choice of trigonometric functions or coordinate representations can vary without affecting the underlying geometric principles.

brydustin
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If we have any two orthonormal vectors A and B in R^2 and we wish to describe the circle they create under rigid rotation (i.e. they rotate at a fixed point and their length is preserved), how can we describe any point along this (unit) circle using a linear combination of A and B? I was thinking that it would be something along the lines of A*cos(θ) + B*sin(θ), but I'm not too sure, for example why not use A*sin(θ)+B*cos(θ). Regardless, I know that any point along this circle can be found because A and B are linearly independent and span all of R^2. I suppose what I'm really interested in, is computations that restrict to this "internal frame", this unit circle (not necessarily centered at(0,0)).

I feel this is very much related to the idea that a rotation matrix like [cosθ, -sinθ ; sinθ , cosθ] can rotation a pair of numbers (x,y) to a new pair (x',y') my treating (x,y) as a vector and applying the matrix.
At the same time though, this isn't quite my problem; I'm not starting with anything and then rotating it; I have a basis and want to construct a vector. Actually, my full problem (too long to describe here) is embedded in R^3 but this is a subproblem restricted to a 2-dimensional space spanned by A and B.
 
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brydustin said:
If we have any two orthonormal vectors A and B in R^2 and we wish to describe the circle they create under rigid rotation (i.e. they rotate at a fixed point and their length is preserved), how can we describe any point along this (unit) circle using a linear combination of A and B? I was thinking that it would be something along the lines of A*cos(θ) + B*sin(θ), but I'm not too sure, for example why not use A*sin(θ)+B*cos(θ). Regardless, I know that any point along this circle can be found because A and B are linearly independent and span all of R^2. I suppose what I'm really interested in, is computations that restrict to this "internal frame", this unit circle (not necessarily centered at(0,0)).

I feel this is very much related to the idea that a rotation matrix like [cosθ, -sinθ ; sinθ , cosθ] can rotation a pair of numbers (x,y) to a new pair (x',y') my treating (x,y) as a vector and applying the matrix.
At the same time though, this isn't quite my problem; I'm not starting with anything and then rotating it; I have a basis and want to construct a vector. Actually, my full problem (too long to describe here) is embedded in R^3 but this is a subproblem restricted to a 2-dimensional space spanned by A and B.

Hey brydustin.

The best way to show yourself is to find a rotation vector corresponding to an angle of x where you are rotating something c radians.

You use the fact that for some initial vector in two dimensions: then your x component is rsin(b) and your y component is rcos(b) for some angle b (again in radians).

We then find rcos(c+b) and rsin(c+b) which corresponds to our rotated vector. Using this gives us:

rcos(c+b) = rcos(c)cos(b) - rsin(c)sin(b) and rsin(c+b) = rsin(c)cos(b) + rcos(c)sin(b)

since LHS is x' and y' (rotated vector) and since x = rsin(b) and y = rcos(b) we get our matrix:

[cos(c) sin(c)]
[-sin(c) cos(c)]

Which is what we expect a rotation matrix to be.
 
Here is another way to consider it. Any vector of the plane spanned by A,B can be expressed as P=xA+yB. Using the dot product, the length of P is sqrt(x^2+y^2), so if that length is one then (x,y) must be a point on the unit circle in R2. Therefore, there exists some theta such that x=cos(theta), y=sin(theta). Of course, this is not the only way to represent x and y.

It is also true that (y,x) is a point on the unit circle. So whether you set x=cos(theta), y=sin(theta) or the other way around does not matter. You could also set x=sin(5theta), y=cos(5theta) if you want. So you have freedom in how to represent the point. Ultimately, the only real restriction is that (x,y) lies on the unit circle in R2.
 
Vargo said:
Here is another way to consider it. Any vector of the plane spanned by A,B can be expressed as P=xA+yB. Using the dot product, the length of P is sqrt(x^2+y^2), so if that length is one then (x,y) must be a point on the unit circle in R2. Therefore, there exists some theta such that x=cos(theta), y=sin(theta). Of course, this is not the only way to represent x and y.

It is also true that (y,x) is a point on the unit circle. So whether you set x=cos(theta), y=sin(theta) or the other way around does not matter. You could also set x=sin(5theta), y=cos(5theta) if you want. So you have freedom in how to represent the point. Ultimately, the only real restriction is that (x,y) lies on the unit circle in R2.

Yeah! That's more what I was looking for, that really cleared things up for me; I was having difficulty because I was stuck on thinking that it only made sense to use trig functions like this if it is to describe something like the way chiro did. But your analogy with the norm of p shows that p is like a "ray" and its "graph" {(x,y) , Norm(p) = sqrt(x^2+y^2)=1} makes it isomorphic to the unit circle, so we can describe it full with unit circle trig. Thanks to both of you!
 

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