What are the normalized vectors in polar coordinates?

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SUMMARY

The discussion clarifies the concept of normalized vectors in polar coordinates, specifically focusing on the vectors \(\hat{\mathbf{r}}\) and \(\hat{\theta}\). The vector \(\hat{\mathbf{r}}\) is defined as \(\frac{\mathbf{r}}{|\mathbf{r}|}\) where \(\mathbf{r} = (x, y) = (r \cos \theta, r \sin \theta)\), resulting in \(\hat{\mathbf{r}} = \left(\cos \theta, \sin \theta\right)\). The vector \(\hat{\theta}\) is derived from the partial derivative of \(\mathbf{r}\) with respect to \(\theta\), yielding \(\hat{\theta} = \left(-\sin \theta, \cos \theta\right)\). The discussion emphasizes the importance of consistent frame of reference when defining angles in polar coordinates.

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  • Understanding of polar coordinates and their representation.
  • Familiarity with vector calculus, including normalization of vectors.
  • Knowledge of trigonometric functions and their applications in geometry.
  • Basic comprehension of parametric curves and their tangent and normal vectors.
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Mathematicians, physicists, engineers, and students studying vector calculus and polar coordinates will benefit from this discussion.

Bruno Tolentino
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If the vector r is (x,y), so, what is the vector θ? BY THE WAY is (y,-x) ?
 
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I have no idea what you mean by "the vector \theta". Could you please explain that? Where did you see a reference to a "vector \theta"?
 
The question "is (y,-x)?" doesn't make sense either.
 
Bruno Tolentino said:
If the vector r is (x,y), so, what is the vector θ? BY THE WAY is (y,-x) ?
I didn't notice the "(y, -x)"! If a vector is given by r= (x, y) then its length is |r|= \sqrt{x^2+ y^2} and the angle it makes with the x-axis, it that is what you mean by "\theta", is given by arctan(y/x) as long as x is not 0, \pi/2 if x= 0 and y is positive, 3\pi/2 if x= 0 and y is negative.

Given a vector (x, y), the vector (y, -x) is the result of rotating (x, y) through an angle of pi/2 radians.
 
HallsofIvy said:
I didn't notice the "(y, -x)"! If a vector is given by r= (x, y) then its length is |r|= \sqrt{x^2+ y^2} and the angle it makes with the x-axis, it that is what you mean by "\theta", is given by arctan(y/x) as long as x is not 0, \pi/2 if x= 0 and y is positive, 3\pi/2 if x= 0 and y is negative.

Given a vector (x, y), the vector (y, -x) is the result of rotating (x, y) through an angle of pi/2 radians.

The angle ##\theta## depends on your frame of reference : the positive x-axis does not have to represent the angle ## 0 ## , it can represent anything as long as the choices are made consistently, i.e., the angle with the negative x-axis must be ##\pi ## larger than the choice on the positive x-axis, as is done, e.g., with branches of the Complex logarithm.
 
Well, that depends on exactly what Bruno Tolentino means by "the vector \theta". I asked that earlier and he still hasn't answered.
 
Another possible interpretation is that ##\theta(x,y)=(-y,x)## is a _vector field_ , assigning to each point/tangent space at ##(x,y)##, the
vector ##(-y,x)##.
 
The ideia of vector θ come from following: if the vector dr is the tangent vector to parametric curve and the o vector dn is the normal vector:

333.png


And if the UNIT vector r^ is normal to UNIT vector θ^:

70d796839d040d2b0fa8bcfc6a21df62.png

0087580bf7a31a2e9556f337f6f14145.png


So: the vector dn = dθ and therefore θ = (-y,x)!?

EDIT: but confront with the following: if θ = (-y,x), so θ = (- r sin(θ), r cos(θ)) = r (- sin(θ), cos(θ)) = r θ^

Is known that the vector r = r r^

But, is correct to affirm that: θ = r θ^?

The vector θ wouldn't: θ = θ θ^
 
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In this context (polar coordinates), there's no standard definition of the notation θ. It's definitely non-standard to use that notation for the vector ##r\hat{\theta}##.

I think I see what you were thinking now: Since ##\hat{\mathbf r}## is a normalized version of ##\mathbf r##, it makes sense to ask if there's a vector that you can normalize to get ##\hat\theta##. There is, but it's not denoted by θ.

The vectors ##\hat{\mathbf r}## and ##\hat\theta## are defined as what you get when you normalize ##\frac{\partial\mathbf r}{\partial r}## and ##\frac{\partial\mathbf r}{\partial\theta}##.
\begin{align*}
&\mathbf r=(x,y)=(r\cos\theta,r\sin\theta)\\
&\hat{\mathbf r}=\frac{\frac{\partial\mathbf r}{\partial r}}{\left|\frac{\partial\mathbf r}{\partial r}\right|} =\frac{(\cos\theta,\sin\theta)}{1} =\frac{\mathbf r}{r}=\frac{(x,y)}{\sqrt{x^2+y^2}}\\
&\hat{\theta} =\frac{\frac{\partial\mathbf r}{\partial\theta}}{\left|\frac{\partial\mathbf r}{\partial\theta}\right|} =\frac{(-r\sin\theta,r\cos\theta)}{r} =\frac{(-y,x)}{\sqrt{x^2+y^2}}
\end{align*}
 
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