Trying to understand isotropic vectors.

In summary: These programs can handle complex numbers and allow for easy graphing and manipulation of equations. Java is not particularly difficult to learn, and there are many resources available online. It is also free to download and use.
  • #1
Spinnor
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From: http://www.sjsu.edu/faculty/watkins/spinor.htm

"Let X=(x1, x2, x3) be an element of the vector space C^3. The dot product of X with itself, X·X, is (x1x1+x2x2+x3x3). Note that if x1=a+ib then x1·x1=x1^2=a2+b2 + i(2ab), rather that a2+b2, which is x1 times the conjugate of x1.

A vector X is said to be isotropic if X·X=0. Isotropic vectors could be said to be orthogonal to themselves, but that terminology causes mental distress."

also from the same web page:


"It is impossible to visual depict isotropic vectors and spinors because three dimensional complex vectors involve six dimensions and spinors as two dimensional complex vectors involve four dimensions."

I would like to see these isotropic vectors. Does this help or work?

For an isotropic vector,

X·X = x1x1+x2x2+x3x3 = 0, so,

x1x1+x2x2 = -x3x3 (This defines a surface in C^3? What are some of its symmetries?)


Let us plot the real parts of x1 and x2 on a 3D graph with z = 0, with a red point and at the same time plot the imaginary parts of x1 and x2 with a green point. These two points lead to two pairs of solutions to x1x1+x2x2 = -x3x3? Plot the solutions on the above graph's z axis coloring real and imaginary points as above. Imagine a java program that allowed us to move the red and green plot points in the z=0 plane and have it automatically calculate solutions to,

x1x1+x2x2 = -x3x3

such a program might allow us to investigate the complex surface X·X=0 ? Is Java hard to learn? Is it expensive?


Also from the same web page:

"It can be shown that the set of isotropic vectors in C^3 form a two dimensional surface. This two dimensional surface can be parametrized by two coordinates, z0 and z1 where

z0 = [(x1-ix2)/2]1/2
z1 = i[(x1+ix2)/2]1/2.

The complex two dimensional vector Z=(z0, z1) Cartan calls a spinor. "

Since z0 and z1 are complex does this surface need four numbers to label a point of this surface?

Thank you for any thoughts.
 
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  • #2
Spinnor said:
From: http://www.sjsu.edu/faculty/watkins/spinor.htm

I would like to see these isotropic vectors. Does this help or work?

Hi Spinnor! :smile:

I have never heard of isotropic vectors, and nor has wikipedia.

This guy Watkins (a specialist in mathematical economics … see http://www.sjsu.edu/faculty/watkins/resume2.htm) seems to have invented them.

Spinors are a lot easier than that :rolleyes:

I suggest you forget isotropic vectors, and use some other website. :smile:
 
  • #3
tiny-tim said:
Hi Spinnor! :smile:

I have never heard of isotropic vectors, and nor has wikipedia.

This guy Watkins (a specialist in mathematical economics … see http://www.sjsu.edu/faculty/watkins/resume2.htm) seems to have invented them.

Spinors are a lot easier than that :rolleyes:

I suggest you forget isotropic vectors, and use some other website. :smile:

Not yet %^)

Definition of Isotropic vector at

http://eom.springer.de/i/i052950.htm

and at

http://books.google.com/books?id=bS...i4vd8J&sa=X&oi=book_result&ct=result&resnum=8

Thank you for your reply!
 
  • #4
Spinnor said:
Imagine a java program that allowed us to move the red and green plot points in the z=0 plane and have it automatically calculate solutions to,

x1x1+x2x2 = -x3x3

such a program might allow us to investigate the complex surface X·X=0 ? Is Java hard to learn? Is it expensive?

This sounds like a task more suited for something like Matlab or Maple or Mathematica, though something like Java or Python would also work.
 

1. What are isotropic vectors?

Isotropic vectors are mathematical entities that have both magnitude and direction, but unlike regular vectors, they have the same magnitude in all directions. This means that they are equally strong in all directions and do not have a preferred orientation.

2. How are isotropic vectors different from regular vectors?

Isotropic vectors are different from regular vectors in that they have the same magnitude in all directions, while regular vectors have varying magnitudes depending on their direction. Isotropic vectors also do not have a preferred orientation, unlike regular vectors which have a specific direction.

3. What are some examples of isotropic vectors?

Some common examples of isotropic vectors include electric and magnetic fields, sound waves, and light waves. These entities have the same magnitude in all directions and do not have a preferred orientation.

4. How are isotropic vectors used in science?

Isotropic vectors are used in many fields of science, such as physics, engineering, and geology. They are particularly useful in analyzing and understanding wave phenomena, as well as in describing the properties of materials and substances.

5. How can I visualize an isotropic vector?

Since isotropic vectors have the same magnitude in all directions, they can be visualized as a sphere with an arrow pointing outwards from the center. This represents the strength and direction of the vector, with the sphere representing the isotropic nature of the vector.

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