Sunset Geometry (2016)
shapeoperator.com
shapeoperator.com
The Pauli matrices in this context are isomorphic to quaternions, which certainly have been used to solve geometric problems in 3 dimensions (although not necessarily by physicists), as has been discussed many many times here on HN. The property of describing spin-1/2 particles (i.e. generating SU(2)) is precisely the same property that makes the quaternions amenable for use in reasoning about 3D rotations!
[0] - https://en.wikipedia.org/wiki/Exceptional_isomorphism#Spin_g...
This has the relationship backwards. Particles have this spin group because they can rotate in 3-dimensional space, not because they have some mysterious association with the complex plane.
That we can represent rotations using 2x2 unitary matrices of unit determinant is just a coincidence. There are a bunch of such coincidental isomorphism between groups. The explanation is comparable to the “strong law of small numbers” https://en.wikipedia.org/wiki/Strong_law_of_small_numbers
(The unitary matrices come about when we take points on the 2-sphere and stereographically project them onto the plane, representing points in the plane by complex numbers. Then concentric rotations of 3-space of correspond to particular Möbius transformations of the complex plane, which can be represented as the special unitary matrices. This works out cleanly when projecting onto a 2-dimensional plane, but representing rotations gets trickier in higher dimensions.)
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But you are missing Jason’s point. There are clearly many possible ways of representing the same relationships. The underlying relationships don’t change if you e.g. use classical spherical trigonometry. The question he is trying to ask instead is: which representation is most conceptually clear and intuitive to work with (after some experience), has the nicest and easiest to manipulate notation, etc.
There are valid reasons to use a stereographic representation of points on the sphere. (For instance, it involves 2 coordinates instead of 3.) And from there, representing spherical rotations as Möbius transformations is convenient and effective. But conceptually, if trying to solve arbitrary problems with pen and paper, representing points as vectors and rotations as scalar+bivector "quaternions" is a lot more natural. Especially if you have a problem where some parts are not confined to the sphere.
For more on representing spherical geometry stereographically, cf. https://observablehq.com/@jrus/planisphere – there are some tools even here where we get leverage out of treating stereographically projected points as 2D vectors rather than as complex numbers, and separating the concepts of scalar, vector, and bivecor.
Whoa, that is not insignificant error. What contributes to an error of this size?
"we can see the Sun even when it is geometrically just below the horizon, at both sunrise and sunset. This is because of the refraction of the light from the Sun by the Earth's atmosphere--the Earth's atmosphere bends the path of the light so that we see the Sun in a position slightly different from where it really is."
see http://curious.astro.cornell.edu/our-solar-system/52-our-sol...
Not sure what the GP intended, but one possible effect is that increasing the focal length ('zooming in') would change the relative size of two objects (one closer, one further away) depending on their relative distance to the camera (I think the closer object might appear relatively larger).
But if the sun and the horizon are the intended objects, they are both effectively at infinity, from the camera's perspective, so I wouldn't expect focal length to change anything in this case.
I am curious: has this argument, historally, ever been used against the idea that the world is flat?
The fact that you have to flip the sign of pseudovectors sometimes feels like a hint that they aren't the right representation, somehow.
In terms of Lie theory, the rotors are a Lie group and the bivectors are the corresponding Lie algebra.
When you properly treat bivectors as bivectors instead of cramming both bivectors and vectors down into one type of object, all of the trickiness about sign flips under reflection etc. go away.
Almost every time you see a cross product in a formula, you should really have a wedge product, and the result should be a bivector.
In GA, vector identities all generalize cleanly to any dimension (the trick of representing bivectors as vectors only works in 3D).
Okay, so next question: if you formulate the laws of physics in terms of geometric algebra, does CP violation still exist?