Understanding Vector Fields and Their Relationships to Circles

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Calpalned
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Oops. I just realized that this is the physics homework forum... This is actually calculus homework...

1. Homework Statement


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Homework Equations


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The Attempt at a Solution


I read, analyzed and reread the text, but I am still confused.

1) How was the position vector ##<x,y>## determined?

2) How is it related to the circle with centered at the origin?

3) We are trying to prove that ##F(x,y)## is tangent to a circle with center at the origin. Why then, are we taking a dot product? The dot product shows that ##F(x.y)## is perpendicular to the position vector ##<x,y>##. But isn't being perpendicular the opposite of being tangent?

4) The magnitude of the vector ##F(x,y)## is equal to the radius of the circle. If the circle wasn't centered at the origin, I believe that it will still be true. What is the significance of the magnitude in other vector fields, ones that don"t involve circles?

Thank you all so much!
 
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The position vector is simply the vector from the origin to a given point. A circle centered on the origin fulfills ##F(\vec x) = \vec x^2 = R^2## and is therefore a level surface of ##F##. The normal of a level surface is the gradient of the function and in this case it is proportional to ##\vec x##.

A tangent to a surface is orthogonal to its normal, so a tangent to the circle is necessarily also orthogonal to ##\vec x##.
 
Orodruin said:
The position vector is simply the vector from the origin to a given point. A circle centered on the origin fulfills ##F(\vec x) = \vec x^2 = R^2## and is therefore a level surface of ##F##. The normal of a level surface is the gradient of the function and in this case it is proportional to ##\vec x##.

A tangent to a surface is orthogonal to its normal, so a tangent to the circle is necessarily also orthogonal to ##\vec x##.

While your answer has helped me understand the answer to my first question, it has also raised new several new questions. For the circle centered in the origin, how was ##F(\vec x) = \vec x^2 = R^2## determined? Does ##R^2## mean two dimensional? A level surface is a projection (or shadow) of a 3D object onto the xy plane. The circle is not 3D. I agree that the normal to a level surface is the gradient, but I don't see how it's proportional to ##\vec x ##

Thank you Orodriun.

 
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Calpalned said:
While your answer has helped me understand the answer to my first question, it has also raised new several new questions. For the circle centered in the origin, how was ##F(\vec x) = \vec x^2 = R^2## determined? Does ##R^2## mean two dimensional?

No, ##R## is the radius of the circle.

Calpalned said:
A level surface is a projection (or shadow) of a 3D object onto the xy plane.

No, a level surface is the set of points where a function has a given value. It has a dimension of one less than the full space. For this reason, a level surface in two dimensions is a one dimensional curve.

Calpalned said:
agree that the normal to a level surface is the gradient, but I don't see how it's proportional to ##\vec x ##

Did you try taking the gradient of the function ##F(\vec x) = \vec x^2##?
 
Orodruin said:
The position vector is simply the vector from the origin to a given point. A circle centered on the origin fulfills ##F(\vec x) = \vec x^2 = R^2## and is therefore a level surface of ##F##. The normal of a level surface is the gradient of the function and in this case it is proportional to ##\vec x##.

A tangent to a surface is orthogonal to its normal, so a tangent to the circle is necessarily also orthogonal to ##\vec x##.

Calpalned said:
While your answer has helped me understand the answer to my first question, it has also raised new several new questions. For the circle centered in the origin, how was ##F(\vec x) = \vec x^2 = R^2## determined? Does ##R^2## mean two dimensional? A level surface is a projection (or shadow) of a 3D object onto the xy plane. The circle is not 3D. I agree that the normal to a level surface is the gradient, but I don't see how it's proportional to ##\vec x ##

Thank you Orodriun.
Calpalned said:
While your answer has helped me understand the answer to my first question, it has also raised new several new questions. For the circle centered in the origin, how was ##F(\vec x) = \vec x^2 = R^2## determined? Does ##R^2## mean two dimensional? A level surface is a projection (or shadow) of a 3D object onto the xy plane. The circle is not 3D. I agree that the normal to a level surface is the gradient, but I don't see how it's proportional to ##\vec x ##

Thank you Orodriun.
Is ##F(\vec x) = \vec x^2 \hat i = R^2 ## ?
 
Orodruin said:
No, ##\vec x^2 = \vec x \cdot \vec x = x^2 + y^2##, which is a scalar quantity. A vector can never be equal to a scalar. This is just the equation for a circle, ##x^2 + y^2 = R^2##.

Is the ##\vec x## the same as the ##x## two original equations? The one found in ##F(x,y) = -y \hat + x \hat j ## and/or ##x = x \hat i + y \hat j ##
 
Dear @Calpalned,
I would recommend you re-read everything you have on vectors to clear up some basic concepts before proceeding in your studies in Calculus III.
Otherwise I fear you will face a lot of confusion.