What are the normalized vectors in polar coordinates?

In summary, the vector θ is not equal to (-y,x), as it is non-standard to use θ to denote a vector. However, the unit vector θ^ can be obtained by normalizing the partial derivative of r with respect to θ, which is (-y,x).
  • #1
Bruno Tolentino
97
0
If the vector r is (x,y), so, what is the vector θ? BY THE WAY is (y,-x) ?
 
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  • #2
I have no idea what you mean by "the vector [itex]\theta[/itex]". Could you please explain that? Where did you see a reference to a "vector [itex]\theta[/itex]"?
 
  • #3
The question "is (y,-x)?" doesn't make sense either.
 
  • #4
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|= [itex]\sqrt{x^2+ y^2}[/itex] and the angle it makes with the x-axis, it that is what you mean by "[itex]\theta[/itex]", is given by [itex]arctan(y/x)[/itex] as long as x is not 0, [itex]\pi/2[/itex] if x= 0 and y is positive, [itex]3\pi/2[/itex] 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 [itex]pi/2[/itex] radians.
 
  • #5
HallsofIvy said:
I didn't notice the "(y, -x)"! If a vector is given by r= (x, y) then its length is |r|= [itex]\sqrt{x^2+ y^2}[/itex] and the angle it makes with the x-axis, it that is what you mean by "[itex]\theta[/itex]", is given by [itex]arctan(y/x)[/itex] as long as x is not 0, [itex]\pi/2[/itex] if x= 0 and y is positive, [itex]3\pi/2[/itex] 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 [itex]pi/2[/itex] 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.
 
  • #6
Well, that depends on exactly what Bruno Tolentino means by "the vector [itex]\theta[/itex]". I asked that earlier and he still hasn't answered.
 
  • #7
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)##.
 
  • #8
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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  • #9
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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Related to What are the normalized vectors in polar coordinates?

1. What does "vector theta" represent?

Vector theta represents a mathematical concept used in linear algebra and statistics. It is a vector that contains the parameters or coefficients of a statistical model, often used in regression analysis.

2. How is "vector theta" calculated?

The calculation of vector theta depends on the specific statistical model being used. In general, it involves finding the values of the parameters that best fit the data and minimize the error between the model and the observed data.

3. What is the difference between a vector and a scalar theta?

A vector theta contains multiple values, while a scalar theta only contains a single value. In statistical models, vector theta is often used to represent multiple parameters or coefficients, while scalar theta may represent a single intercept or slope.

4. How is "vector theta" used in machine learning?

In machine learning, vector theta is used to represent the weights or coefficients for a given model. These weights are adjusted during the learning process to minimize the error between the predicted outputs and the actual outputs.

5. Can vector theta be negative?

Yes, vector theta can contain negative values, depending on the statistical model being used. In some models, negative values for the parameters may indicate a negative relationship between the variables, while in others it may have a different interpretation.

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