Check another visualise vector expression

In summary, the conversation discusses the equation $\left(\vec{r} - \vec{a}\right)\cdot\vec{r} = 0$ and its relation to a circle with a radius of $\frac{\|\vec{a}\|}{2}$ centered at $\left(\frac{a_x}{2}, \frac{a_y}{2}, \frac{a_z}{2}\right)$. It is clarified that the dot product should not be denoted by $r^2$ and the shape should be referred to as a sphere instead of a circle. The radius is also corrected to be $\dfrac{\sqrt{\vec{a}\cdot\vec{a}}}{2}$.
  • #1
ognik
643
2
$ \left( \vec{r} - \vec{a} \right). \vec{r} = 0 $ Please check this:

Then, $ r^2 - a.r = 0 $, then $ \left( r - \frac{a}{2} \right)^2 - \left(\frac{a}{2}\right)^2 = 0 $, then
$ \left( x - \frac{a}{2}\right)^2 + \left(y - \frac{a}{2}\right)^2 + \left( z - \frac{a}{2}\right)^2 = \left(\frac{a}{2}\right)^2$

This is a circle radius $ \frac{a}{2} $, centred at $\left(\frac{a}{2} , \frac{a}{2} , \frac{a}{2} \right) $?
 
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  • #2
ognik said:
$ \left( \vec{r} - \vec{a} \right). \vec{r} = 0 $ Please check this:

Then, $ r^2 - a.r = 0 $, then $ \left( r - \frac{a}{2} \right)^2 - \left(\frac{a}{2}\right)^2 = 0 $, then
$ \left( x - \frac{a}{2}\right)^2 + \left(y - \frac{a}{2}\right)^2 + \left( z - \frac{a}{2}\right)^2 = \left(\frac{a}{2}\right)^2$

This is a circle radius $ \frac{a}{2} $, centred at $\left(\frac{a}{2} , \frac{a}{2} , \frac{a}{2} \right) $?
Close. You have forgotten that a is a vector so \(\displaystyle r^2 - \vec{a} \cdot \vec{r} = 0 \implies (x^2 + y^2 + z^2) - (a_x \cdot x + a_y \cdot y + a_z \cdot z) = 0\), which says
\(\displaystyle \left ( x - \frac{a_x}{2} \right ) ^2 + \left ( y - \frac{a_y}{2} \right ) ^2 + \left ( z - \frac{a_z}{2} \right ) ^2 = \frac{a^2}{4}\)

This is a circle with center \(\displaystyle \left ( \frac{a_x}{2},~ \frac{a_y}{2},~ \frac{a_z}{2} \right )\) and radius \(\displaystyle | \vec{a} \cdot \vec{a}|/2\).

-Dan
 
  • #3
Thanks, needed that reminder.

Radius $ \frac{ |a ⃗ ⋅a ⃗ |}{2} $ or $ \frac{\sqrt{ |a ⃗ ⋅a ⃗ |}}{2} $?
 
  • #4
ognik said:
Thanks, needed that reminder.

Radius $ \frac{ |a ⃗ ⋅a ⃗ |}{2} $ or $ \frac{\sqrt{ |a ⃗ ⋅a ⃗ |}}{2} $?
\(\displaystyle | \vec{a} \cdot \vec{b} | \equiv \sqrt{a_x b_x + a_y b_y +a_z b_z}\) so the "square root" of \(\displaystyle \frac{a^2}{4}\) is \(\displaystyle \frac{ | \vec{a} \cdot \vec{a} |}{2}\).

-Dan
 
  • #5
Please stop calling $\vec{r}\cdot \vec{r}$ by $r^2$. The dot product is not a binary operation on vectors, it's a bilinear functional. It's important (except in the case where one is talking about an extension field) to distinguish between vectors and scalars.

Also, it's not a circle. Circles live in planes, the word to properly describe this shape is a *sphere*.

It has radius $\sqrt{\dfrac{\vec{a}\cdot\vec{a}}{4}} = \dfrac{\sqrt{\vec{a}\cdot\vec{a}}}{2} = \dfrac{\|\vec{a}\|}{2}$.
 
  • #6
Deveno said:
Please stop calling $\vec{r}\cdot \vec{r}$ by $r^2$. The dot product is not a binary operation on vectors, it's a bilinear functional. It's important (except in the case where one is talking about an extension field) to distinguish between vectors and scalars.
You are right and with all due apologies! My Physics background is coming into play here.

-Dan
 
  • #7
Thanks, all useful
 

FAQ: Check another visualise vector expression

What is a visualise vector expression?

A visualise vector expression is a mathematical representation of a vector using coordinates and arrows to visually represent its magnitude and direction. It is commonly used in physics and engineering to describe the movement and forces acting on an object.

How do you check a visualise vector expression?

To check a visualise vector expression, you can use the Pythagorean theorem to calculate the magnitude of the vector and compare it to the given magnitude in the expression. You can also use trigonometric functions to calculate the direction of the vector and compare it to the given direction in the expression.

Why is it important to check a visualise vector expression?

Checking a visualise vector expression is important to ensure its accuracy and validity. It allows you to verify that the given magnitude and direction are correct and that the vector is being properly represented. This is crucial in fields such as physics and engineering where precise calculations are necessary.

What are some common mistakes when visualising vector expressions?

Some common mistakes when visualising vector expressions include incorrect calculation of the magnitude or direction, mixing up the coordinates, and forgetting to include the direction of the vector. It is also important to pay attention to the units used in the expression as they can affect the accuracy of the visualisation.

Can visualise vector expressions be used in higher dimensions?

Yes, visualise vector expressions can be used in higher dimensions (e.g. 3D or 4D) to represent vectors with more complex magnitudes and directions. In higher dimensions, the vector expression would include more coordinates and arrows to accurately depict the vector's magnitude and direction.

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