Any geometrical meaning of multiplication of quaternions?

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Discussion Overview

The discussion explores the geometrical meaning of quaternion multiplication, particularly focusing on unit quaternions. Participants consider the implications of quaternion multiplication in relation to geometric transformations and higher-dimensional spaces.

Discussion Character

  • Exploratory
  • Technical explanation
  • Conceptual clarification
  • Debate/contested

Main Points Raised

  • One participant describes how the multiplication of unit quaternions can represent rotations in three-dimensional space, specifically noting the formula for rotating a purely imaginary quaternion.
  • Another participant suggests that understanding quaternion multiplication geometrically becomes complex and proposes Geometric Algebra as a systematic approach to treat geometric concepts with algebraic operations.
  • A different participant mentions the relationship between unit quaternions and the special unitary group, indicating that quaternion multiplication corresponds to geometric operations on the 3-sphere.
  • One participant expresses a preference for using matrix representations of quaternions, particularly referencing a book on Lie theory, as a way to understand their geometric implications.

Areas of Agreement / Disagreement

Participants express differing views on the best approach to understand the geometric meaning of quaternion multiplication, with some favoring Geometric Algebra and others preferring matrix representations. No consensus is reached on a singular interpretation.

Contextual Notes

Some participants note the complexity and learning curve associated with Geometric Algebra, as well as the challenges in translating quaternion concepts into this framework. There are also references to specific mathematical structures that may require further exploration.

Who May Find This Useful

This discussion may be of interest to those studying advanced mathematics, particularly in the fields of geometry, algebra, and theoretical physics, as well as individuals exploring the applications of quaternions in higher-dimensional spaces.

Kumar8434
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Let's just talk about unit quaternions.
I know that $$\left(\cos{\frac{\theta}{2}}+v\sin{\frac{\theta}{2}}\right)\cdot p \cdot \left(\cos{\frac{\theta}{2}}-v\sin{\frac{\theta}{2}}\right)$$
where ##p## and ##v## are purely imaginary quaternions, gives another purely imaginary quaternion which corresponds to ##p## rotated by an angle ##\theta## about the axis specified by ##v##. So the product ##q\cdot p \cdot q'## has a geometrical meaning.

But what about any arbitrary unit quaternion multiplication ##q_1\cdot q_2##? What does it mean geometrically (just like unit complex number multiplication means adding their angles)?

If ##z_1\cdot z_2=z_3##, then ##z_3## is the point we end up at when we rotate point ##z_1## by the argument of ##z_2## or vice-versa. Now, if ##q_1\cdot q_2=q_3##, then ##q_1,q_2,q_3## are points in four dimensions. What is the relation between these three points?
 
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It gets complicated. In my opinion, the best geometric treatment of 3D and higher is with Geometric Algebra. It systematically treats many geometric concepts with algebraic operations.
(see )

PS. A word of warning. Although Geometric Algebra consolidates and replaces a lot of specialized mathematical "gimic" algebras, it is not well known, the learning curve is not trivial, and translating the more popular algebras to it is not always easy.
 
For the unit quaternions we have ##U(1,\mathbb{H}) \cong SU(2,\mathbb{C}) \cong \mathbb{S}^3## (cp. section 3 in https://www.physicsforums.com/insights/journey-manifold-su2mathbbc-part/).
Thus the multiplication is the same as in the special unitary group, or on the 3-sphere. Both, ## SU(2,\mathbb{C}) ## and ## \mathbb{S}^3 ## are geometric objects, so the multiplication directly translates into geometry.
 
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I tried a book on geometric algebra a while ago but it didn't speak that much to me.

For quarternions, thinking about them as part of special unitary group, and in particular using a matrix representation, as done in Stillwell's Naive Lie Theory, is how I'd do it.
 

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