A new vector-product for geometric algebra?

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SUMMARY

The discussion centers on the exploration of a new vector-product termed "spin-product" within the context of Geometric Algebra (GA). This product involves a random rotation of a direction-vector, followed by an inner product of the aligned vectors, with specific mathematical properties outlined. The author presents equations demonstrating the relationships between the vectors and their expected outcomes, questioning the existence and necessity of such a vector-product in GA. The spin-product allows for various combinations of vector transformations, emphasizing the need for clear specification of the variant used.

PREREQUISITES
  • Understanding of Geometric Algebra (GA)
  • Familiarity with vector mathematics and inner products
  • Knowledge of random rotation and its implications in vector transformations
  • Basic grasp of complex dynamics in mathematical contexts
NEXT STEPS
  • Research the mathematical foundations of Geometric Algebra
  • Explore existing vector-products in Geometric Algebra literature
  • Investigate the implications of random rotation in vector mathematics
  • Study the applications of spin-products in complex dynamics
USEFUL FOR

Mathematicians, physicists, and researchers interested in advanced vector mathematics, particularly those exploring new concepts in Geometric Algebra and its applications in complex systems.

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I am investigating the mathematical properties of a vector-product. I am wondering if it might be old-hat in GA (which is new to me)?

I am using the working-title "spin-product" for a vector-product that combines RANDOM rotation-only of a direction-vector [a unit 1-vector; say \boldsymbol{\sigma_1}] ONTO another direction-vector [say \hat{a}] FOLLOWED BY an inner product of the now-aligned vectors. The randomness follows from this fact: I am here treating the "spun" vector (the one rotated) as an unknown (ie, hidden) direction-vector associated with complex dynamics.* By way of example:

Let: \boldsymbol{\sigma_1}+\boldsymbol{\sigma_2}=0. (1)
Given: \hat{a}\circ\boldsymbol{\sigma_1}=+1; (2)
Then: \hat{a}\circ\boldsymbol{\sigma_2}=-\hat{a}\circ\boldsymbol{\sigma_1}=-1. (3)

In general: \hat{a}\circ\boldsymbol{\sigma}=\pm\hat{a}.\hat{a}<br /> =\sigma_{\hat{a}}=\pm1. (4)
Expectations: \left\langle \hat{a}\!\circ\!\boldsymbol{\sigma}\right\rangle =0;<br /> \left\langle (\hat{a}\!\circ\!\boldsymbol{\sigma})^{2}\right\rangle =1<br />. (5)

Question: Does such a vector-product exist in GA? More cheekily: Should it?
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* The proposed "spin-product" allows all sorts of interesting combinations: eg, combine random or non-random rotation-and-reduction, rotation-only, rotation-and-dilation of a vector onto another followed by another vector-product of the now-aligned vectors; etc.

Clearly, a user of this product needs to specify the variant being utilised; maybe with variant spin-symbols like:
a\circb, a\circb, a\circb, a\bulletb; etc. But I digress!
 
Physics news on Phys.org
GA meaning Genetic Algorithms?

Oops got it Geometric Algebra.
 

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