this post was submitted on 17 Apr 2024
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I think you can make arbitrarily complicated roots if you move over to G^n^ which includes the R and C roots...
For example the grade 4 blade
(3e1e2e3e4)^2 = 9
in G^4^Complex roots are covered because the grade 2 blade
(e1e2)^2 = -1
making it identical toi
so G^n^ (n>=2) includes C.G^n^ also includes all the scalars (grade 0 blades) so all the real roots are included.
G^n^ also includes all the vectors (grade 1 blades) so any vector with length 3 will square to 9 because
u^2 = u dot u = |u|^2
whereu
is a vector.All blades will square to a scalar but blades are not the only thing in G^n^ so things get weird with the multivectors(sums of different grades). Any blade with grade
n%4 < 2
will square to a positive scalar and the other grades will square to a negative, with the abs of the scalar equal to the norm^2^ of the blade. Can pretty much just make as many roots as you want if you are willing to move into higher dimensional spaces and use a way cooler product.You lost me at "arbitrarily complicated," sorry.
Lost me at "I think". I don't, apparently.
I don't think therefore I never was
I wish it was that easy! I stopped thinking and I'm still stuck here... Stupid Descartes
I thought this would be related to quaternions, octonions etc. but no, it's multivectors and wedge products. Very neat, I didn't know you could use them like that.
Oh no, you were right on the money. In G^2^ you have two basis vectors
e1
ande2
. The geometric product of vectors specifically is equivalent touv = u dot v + u wedge v
.. the dot returns a scalar, the wedge returns a bivector. When you have two vectors be orthonormal like the basis vectors, thedot
goes to 0 and you are just left withu wedge v
. Soe1e2
returns a bivector with norm 1, its the only basis bivector for G^2^.e1e2^2 = (e1e2)*(e1e2) = e1e2e1e2
A nice thing about the geometric product is its associative so you can rewrite as
e1*(e2e1)*e2
.. again that middle product is still just a wedge but the wedge product is anti commutative soe2e1 = -e1e2
. Meaning you can rewrite the above ase1*(-e1e2)*e2 = -(e1e1)*(e2e2) = -(e1 dot e1)*(e2 dot e2) = -(1)*(1) = -1
.. Thuse1e2
squares to -1 and is the same asi
. And now you can think of the geometric product of two vectors asuv = u dot v + u wedge v = a + bi
which is just a complex number.In G^3^ you can do the same but now you have 3 basis vectors to work with,
e1, e2, e3
. Meaning you can construct 3 new basis bivectorse1e2, e2e3, e3e1
. You can flip them to bee2e1, e3e2, e1e3
without any issues its just convention and then its the same as quaternions. They all square to -1 ande2e1*e3e2*e1e3 = -e2e1e2e3e1e3 = e2e1e2e1e3e3 = e2e1e2e1 = -1
which is the same as i,j,k of quaternions. So just like in G^2^ the bivectors + scalars form C you get the quaternions in G^3^. Both of them are just bivectors and they work the same way. Octonions and beyond can be made in higher dimensions. Geometric algebra is truly some cool shit.Then you can extend to arbitrary algebra