How do Hypercomplex Numbers and Quaternions Work in Supersymmetry?

In summary, hypercomplex numbers are a class of complex numbers with a special property. They are used in supersymmetry and quantum probability theory.
  • #1
dimsun
27
0
Only recently I discovered that there is a class of complex numbers named hypercomplex numbers.

Hamilton invented (or discovered) the quaternions in 1843.
i² = j² = k² = ijk = -1

I understand how complex numbers work, but I don't understand how hypercomplex numbers work.

Can someone explain the following:
First, Hamilton tried to expand the two dimensional complex plane (Argand plane) to three dimensions. But he failed to work with tripleds.
Why?
for example, why does i² = j² = ij = -1 not work?

Second, how did he discover that in 4 dimensions he could work with entities called quaternions?
how did he invent i² = j² = k² = ijk = -1
ij = k
jk = i
ki = j
ji = -k
kj = -i
ik = -j


Third, can someone give me an example to work with quaternions? what can you do with them?

Dimsun
 
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  • #2
for example, why does i² = j² = ij = -1 not work?
Start with j2=ij, multiply both on the right by j, then using associative law, you get i=j.
 
  • #3
dimsun said:
Third, can someone give me an example to work with quaternions? what can you do with them?
Let v = (a, b, c) and w = (d, e, f) be two Euclidean 3-vectors.

We can represent them as quaternions:

s = ai + bj + ck
t = di + ej + fk

What is st?
 
  • #4
dimsun said:
can someone give me an example to work with quaternions? what can you do with them?

Dimsun

Quaternions are very useful for representing rotations.

I will use the notation
[tex]\mathcal Q = \bmatrix q_s \\ \vec q_v \endbmatrix[/tex]
to denote a quaternion whose real part is [itex]q_s[/itex] and "imaginary" part is [itex]\vec q_v[/itex].

Suppose [itex]\vec x[/itex] is a three-vector and [itex]\mathcal Q[/itex] is a quaternion. The quaternion product
[tex]Q\bmatrix 0\\ \vec x \endbmatrix Q^{-1} = \bmatrix 0\\ \vec x^R \endbmatrix[/tex]
where [itex]\vec x^R[/itex] is the original vector [itex]\vec x[/itex] rotated in three-space.

In particular, the unit quaternion
[tex]\mathcal Q =
\bmatrix \cos \frac \theta 2 \\ \hat u \sin \frac \theta 2 \endbmatrix[/tex]
will rotate a vector about some axis [itex]\hat u[/itex] by an angle [itex]\theta[/itex].

Edited to change \vect in LaTeX to \vec
 
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  • #5
Thanks mathman, i understand. maybe it is also the answer on my second question, Hamilton must have had a real flash of genius in which he questioned the commutative law.

But what if associative law doesn't work in the case of 3 dimensions?


hurkyl, so it is no different then calculating with ordinary vectors.
-(ad + be + cf) + (ae - bd)k + (cd - af)j + (bf - ce)i



DH, It is still a bit difficult, I gues i have to work on it.

Thanks, Dimsun
 
  • #6
dimsun said:
hurkyl, so it is no different then calculating with ordinary vectors.
-(ad + be + cf) + (ae - bd)k + (cd - af)j + (bf - ce)i

One way to look at complex numbers is to decompose them into real and imaginary parts. Quaternions can similarly be decomposed into real and imaginary parts, but with quaternions the imaginary part is a three-vector.

Let
[tex]\mathcal Q_1 = \bmatrix q_{s_1} \\ \vec q_{v_1} \endbmatrix[/tex]

[tex]\mathcal Q_2 = \bmatrix q_{s_2} \\ \vec q_{v_2} \endbmatrix[/tex]
be two quaternions with real parts [itex]q_{s_1}, q_{s_2}[/itex] and imaginary vector parts [itex]\vec q_{v_1}, \vec q_{v_2}[/itex]. With this notation, the quaternion product is
[tex]\mathcal Q_1 \, \mathcal Q_2 =
\bmatrix q_{s_1} q_{s_2} - \vec q_{v_1} \!\cdot \vec q_{v_2}\\ \vec q_{s_1} \vec q_{v_2} + q_{s_2} \vec q_{v_1} + q_{v_1} \times \vec q_{v_2}\endbmatrix[/tex]

The vector cross product can thusly be expressed in terms of the quaternion product:
[tex]\bmatrix 0 \\ \vec a \times \vec b \endbmatrix =
\frac 1 2 \left(
\bmatrix 0 \\ \vec a \endbmatrix \, \bmatrix 0 \\ \vec b \endbmatrix -
\bmatrix 0 \\ \vec b \endbmatrix \, \bmatrix 0 \\ \vec a \endbmatrix\right)[/tex]

The development of the quaternions by Hamilton preceded and motivated the three-vector cross product. Maxwell's equations were originally expressed in quaternion notation. Oliver Heaviside re-expressed these quaternion forms in vector notation, using the now-familiar vector dot product and cross product.
 
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  • #7
dimsun said:
hurkyl, so it is no different then calculating with ordinary vectors.
-(ad + be + cf) + (ae - bd)k + (cd - af)j + (bf - ce)i
If I rememer my history right, quaternion arithmetic is how the dot and cross products were discovered!
 
  • #8
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  • #9
Heaviside must have more credit for his representation of the Maxwell equations.


I have some more questions about the hypercomplex:

What kind of hypercomplex numbers (or what kind of algebra) are used in supersymmetry?

complex numbers are also used in the quantum description of probability waves, why not hypercomplex numbers?

In special relativity X = iCt.
Can special relativity also be written in hypercomplex numbers?

and are there ultimate hypercomplex numbers?
thus are they limited to n-dimensional and not 'bigger' than n-dimensions?
 
  • #10
I try to be more specific.

In the book "Hyperspace" by Micho Kaku, he writes in chapter 6 about supergravity. he tells that it is based on a new kind of number system.

if a and b are supernumbers then a X b = - b X a
and a X a = 0 even when a ≠ 0.

On wikipedia I have read about different kinds of (hyper-)complex numbers.
(and please correct me if I am wrong):

After Hamilton invented the quaternions in 1843, James Cockle came with 4-dimensional tessarines. this concept includes complex numbers and split-complex numbers.

2 dimensional
Complex numbers have an imaginary base with i² = -1
Split-complex numbers have an non-real base with i² = 1.
Dual numbers have a nilpotent i² = 0.
Dual numbers complements complex numbers and split-complex numbers.

more dimensional
the extend of Complex nummers are the Cayley-Dickson construction.
4 dimensional => quarternions
8 dimensional => octonions
16 dimensional => sedenions

multiplication of quaternions is not commutative. multiplication of octonions is not commutative and not associative. multiplication of sedenions is not commutative and not associative, and the form not a normed space with multiplicative norm (whatever that means) but they still have the property of power associativity.
Because of this falling apart of operations I wonder if hypercomplex numbers are limited to a fixed number of dimensions.
Maybe this question is related to the hypercomplex number definiton by Kantor and Solodovnikov.

The extend of split-complex numbers is the split-complex algebra

For me it's not clear what clifford algebra is.

My goal is to understand which and how these hypercomplex algebras are used in supersymmetry.

Dimsun
 

1. What are triplets and quaternions?

Triplets and quaternions are mathematical concepts used to represent rotations in three-dimensional space. They are similar to complex numbers but have three and four components respectively, instead of two.

2. How do triplets and quaternions differ from each other?

The main difference between triplets and quaternions is the number of components they have. Triplets have three components (a, b, c) while quaternions have four components (a, b, c, d). This extra component in quaternions allows for more complex rotations and is useful for 3D graphics and robotics applications.

3. What are the advantages of using triplets and quaternions?

One advantage of using triplets and quaternions is that they can represent rotations in three-dimensional space without any singularities, unlike other methods such as Euler angles. This makes them particularly useful in robotics and computer graphics applications.

4. How are triplets and quaternions used in computer graphics?

In computer graphics, triplets and quaternions are used to represent the orientation of objects in 3D space. They are also used in animation to smoothly interpolate between different orientations. Quaternions are particularly useful for this as they can avoid gimbal lock, a problem that can occur when using other rotation representations.

5. Are triplets and quaternions used in any real-world applications?

Yes, triplets and quaternions are used in a variety of real-world applications, including robotics, computer graphics, and physics simulations. They are also used in engineering to represent the orientation of objects in 3D space and to calculate rotations and transformations.

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