Why do mathematicians use i, j, and k to represent unit vectors in quaternions?

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Discussion Overview

The discussion revolves around the use of the symbols i, j, and k to represent unit vectors in quaternions, exploring the historical development and mathematical implications of these representations. It touches on concepts related to the cross product, vector analysis, and the evolution of mathematical notation in higher dimensions.

Discussion Character

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

Main Points Raised

  • Some participants discuss the properties of the cross product, noting that it is defined such that \( \mathbf{A} \times \mathbf{B} = -\mathbf{B} \times \mathbf{A} \), which follows the right-hand rule.
  • One participant suggests that the direction of the resulting vector from the cross product is arbitrary, as it can be defined to point either up or down, leading to the established convention.
  • Another participant proposes using determinants to compute the cross product, implying that this method clarifies the relationship between the vectors.
  • A participant mentions the importance of the magnitudes of the vectors being the same in the context of the cross product.
  • One participant provides a mathematical definition of the cross product using the epsilon tensor, emphasizing its antisymmetrical properties.
  • Another participant reflects on the historical development of quaternions by Hamilton, explaining that the symbols i, j, and k were introduced as an extension of complex numbers to four dimensions, with specific properties related to multiplication.
  • It is noted that Hamilton's quaternions were later seen as less useful than vector analysis, as highlighted by Heaviside's contributions to the field.
  • Some participants express that the answers provided do not fully address the original question regarding the use of i, j, and k in quaternions.

Areas of Agreement / Disagreement

Participants express differing views on the utility and historical context of quaternions versus vector analysis. There is no consensus on the best approach to understanding the use of i, j, and k, and the discussion remains unresolved regarding the clarity of the original question posed.

Contextual Notes

Some limitations include the dependence on historical context and definitions of mathematical concepts, as well as the unresolved nature of certain mathematical steps related to the cross product and quaternion multiplication.

Starwatcher16
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axb=-bxa, why?
 
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a or b = 0?
 
Starwatcher16 said:
axb=-bxa, why?

Because of the Right Hand Rule.
 
berkeman said:
Because of the Right Hand Rule.

I have two vectors perpendicular to each other in the xy plane, if I take their cross product, I get another vector in the z plane.

I don't understand why one should be going +z, as opposed to the other way.
 
Starwatcher16 said:
I have two vectors perpendicular to each other in the xy plane, if I take their cross product, I get another vector in the z plane.

I don't understand why one should be going +z, as opposed to the other way.
Because there is no logical way they should go so we just defined AxB as -BxA and it follows the right hand rule in a right handed coordinate system. The cross product is a vector perpendicular to both the crossed vectors and its length is the area of the parallelogram you get, the deal is that either up or down works for this definition so we just have to define either AxB or BxA as up and then the other down, which is why AxB=-BxA.
 
compute it using determinants and you should see why
 
|A\times B| = |A||B|\sin{(\theta_B-\theta_A)}

|B\times A| = |A||B|\sin{(\theta_A-\theta_B)}=|A||B|\sin{-(\theta_B-\theta_A)}=-|A||B|\sin{(\theta_B-\theta_A)} = - |A\times B|
 
Uhhh, qntty...

I believe the magnitudes of the two vectors are the same.

;(((
 
Why? Do the math with the definition of the cross product using the epsilon tensor which is antisymmetrical under the exchange of two indices:
(a \times b)_i &amp;=&amp; \sum_{j=1}^3 \sum_{k=1}^3 \epsilon_{ijk}a_jb_k \\<br /> &amp;=&amp; \sum_{j=1}^3 \sum_{k=1}^3 - \epsilon_{ikj}a_jb_k
renaming of indices changing summation order:
&amp;=&amp; \sum_{j=1}^3 \sum_{k=1}^3 - \epsilon_{ijk}a_k b_j \\<br /> &amp;=&amp; - (b \times a)_i
 
  • #10
0xDEADBEEF:

Wow, that was helpful.
 
  • #11
None of the answers so far really answer the question. The real answer is that the cross product defined in the way it is defined is an extremely useful concept.

Mathematics has a dirty little secret. Mathematicians stumble in developing concepts just like everyone else. Eventually they stumble across a very concise and coherent representation. Mathematics is taught sans all of the stumbling around. The development of vector analysis took a lot of stumbling around throughout much of the 1800s.

One of the key developments was that of quaternions by Hamilton. Ever wonder why we use i,j,k to represent the unit vectors? Simple: In complex analysis, i is the square root of -1. Hamilton saw a way to extend complex numbers to 4 dimensions, using two new symbols j and k. The quaternions have real and imaginary parts, but now the imaginary part is written in terms of i, j, and k. As with complex numbers, i2=-1. Those extra symbols? Just as i2=-1, j2=k2=-1. However, j and k are something separate from i. For one thing, ijk=-1. One consequence: ij=k, jk=i, and ki=j. Another consequence is that multiplication in the quaternions is not commutative. Hamilton described his quaternions as comprising a scalar part and a vector part (the word vector is Hamilton's invention).

Heaviside saw Hamilton's vectors as being more useful than his quaternions. He tied vectors to things like the area of a parallelogram (see post #7), electrodynamics (Maxwell's equations are a lot easier in vectors than in quaternions), and a host of other things.

The Levi-Cevita symbol (post #9)? That came along later than the concept of the cross product and is also far too advanced a concept for someone struggling with basic vector analysis.
 

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