Can You Plot the Parametrization for 3D Geometric Algebra?

In summary, the conversation discusses 3D geometric algebra and the parametrization of a line, with the parameter running from minus infinity to plus infinity. It is shown that for all points on the line, the vector x wedged with u is equal to y wedged with u. It is also shown that the vector d, pointing from the origin to a point on the line with the shortest length, is perpendicular to u. This vector d can be expressed as (y wedged with u) multiplied by the inverse of u. Finally, it is mentioned that for two lines to intersect, the wedge product of (y1-y2) and (u1-u2) must be proportional to the wedge product of u1 and u
  • #1
scariari
18
0
Consider 3D geometric algebra. Let all points on a line be given by the parametrization x=tu+y, in which the parameter runs from minus infinity to plus infinity.

a. Show that for all points on the line we have
x(wedge)u=y(wedge)u.


b. Show that the vector d pointing from the origin onto a point on the line, such that d has the shortest length, satisfies
d. u=0.


c. Show no that this vector d is given by
d=(y(wedge)u)(u)^(-1).


d. Given two lines given by parametrizations
s u1+y1 and
r u2+y2,
where the parameters s and r run from minus to plus infinity.
Show that for the two lines to have an intersection we must have that
(y1-y2)(wedge)(u1-u2)
is proportional to
u1)(wedge)(u2.



I posted this because i wanted help first plotting the parametrization and i figured ill be asking questions about the rest of it later, thus i typed out the whole problem. I realize this plotting is hard to explain on an internet thread, but maybe some tips?
 
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  • #2
let's just deal with a first.

if x = u + ty

then wedging with u on both sides gives you...?

b is geometrically obvious by the triangle inequality amogst other things. Just think about descirbing the distance vectr from the origin to a point on the line in terms of traveling to the line first in the most direct manner then along the line

c and d are left to you
 
  • #3


Yes, it is possible to plot the parametrization for 3D geometric algebra. However, it may be difficult to explain the process in a written response as it involves visualizing and manipulating geometric objects in three dimensions.

To plot the parametrization x=tu+y, you can start by choosing values for the parameter t and then calculating the corresponding values for the vector x. For example, if t=0, then x=y. This means that for every value of t, the vector x will lie on the same line as the vector y, but at a different position along the line.

To visualize this, you can plot the vector y as a fixed point on the line and then plot x for different values of t to see how it moves along the line. You can also plot multiple points on the line by varying the values of t and connecting them to create a visual representation of the entire line.

Now, let's move on to the given statements and their proofs:

a. To show that for all points on the line we have x(wedge)u=y(wedge)u, we can use the properties of the wedge product, which is a multiplication operation in geometric algebra. Since the vectors x and y lie on the same line, they are parallel and can be expressed as x=ay and y=bx for some scalars a and b. Therefore, we have x(wedge)u=(ay)(wedge)u=a(y(wedge)u) and y(wedge)u=(bx)(wedge)u=b(x(wedge)u). Since a and b are scalars, they can be pulled out of the wedge product, giving us a(y(wedge)u) and b(x(wedge)u). Since x=y, we have a=b, and therefore, a(y(wedge)u)=b(x(wedge)u). This proves that x(wedge)u=y(wedge)u for all points on the line.

b. To show that the vector d pointing from the origin onto a point on the line, such that d has the shortest length, satisfies d. u=0, we can use the properties of the dot product, which is another multiplication operation in geometric algebra. The dot product between two parallel vectors is equal to the product of their lengths. Since d is the vector pointing from the origin onto a point on the line, its length is the shortest possible distance from the origin to the line.
 

What is 3D Geometric Algebra?

3D Geometric Algebra is a mathematical framework that extends traditional algebra to include geometric operations and concepts. It combines the rules of vector algebra with the principles of geometric transformations, allowing for a more powerful and intuitive way to represent and manipulate 3D objects.

How is 3D Geometric Algebra different from other types of algebra?

Unlike traditional algebra, which is mainly concerned with numerical calculations, 3D Geometric Algebra deals with both numerical values and geometric objects. It also incorporates the concept of vector spaces, which allows for the representation of multiple dimensions and transformations.

What are the practical applications of 3D Geometric Algebra?

3D Geometric Algebra has a wide range of applications in various fields such as computer graphics, robotics, physics, and computer vision. It is particularly useful in modeling and simulating 3D objects and their transformations, making it an essential tool for computer-aided design and engineering.

How does 3D Geometric Algebra relate to other areas of mathematics?

3D Geometric Algebra has connections to many other areas of mathematics, including linear algebra, differential geometry, and projective geometry. It combines elements from these fields to provide a unified framework for representing and manipulating 3D objects.

What are some resources for learning 3D Geometric Algebra?

There are various online resources, textbooks, and courses available for learning 3D Geometric Algebra. Some recommended resources include "Geometric Algebra for Computer Science" by Leo Dorst, "Geometric Algebra for Physicists" by Chris Doran and Anthony Lasenby, and the Geometric Algebra Project website. Additionally, there are online tutorials and interactive demonstrations that can help with visualizing and understanding the concepts of 3D Geometric Algebra.

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