To be honest I like the Unzicker guy; he is from Germany I believe and he alsways attacks the standard model for particles. According to him there are zillions of problems with the standard model and likely he is right with that. But he fully buys the crap that electrons must be magnetic dipoles without any experimental confirmation at all. So that I post a video of him talking weird stuff about electrons is not a way to rediculize him. On the contrary, because he always tries to attack the idea’s inside the stadard model he in itself is a perfect example as why the physics community swallows all those weird explanations upon electron spin.
For myself speaking I think that electrons don’t have their spins ‘up’ or ‘down’. I don’t think that they are tiny magnets with two magnetic poles but in itself they are magnetic monopoles that come with only one magnetic charge… My estimate is that this magnetic charge is a permanent charge, that means there is no such thing as spin flip of an individual electron.
In the Unzicker video Alexander asks for help about differentiation on the quaternions or so. Well have I done my utmost best to craft all kinds of spaces where you can integate and differentiate, stuff like 3D complex numbers, 4D complex numbers etc, comes a weirdo along asking about the quaternions… On quaternions differentiating is a true horror and that is caused by the property that in general the quaternions don’t commute. I wrote a one picture long explanation for that. The problem is that differentiation on say the square function on the quaternions destroys information. That is why there is no so called ‘Complex analysis on the quaternions’, it just doesn’t exist. Ok, lets go to the first video. It is not that very good because he constantly throws in a lot of terms like SO2 and SO3, but for an audience like physics people that is allowed of course.
Because it is still the year 2022, it is still one hundred years back that the Stern-Gerlach experiment was done. The next short video is relatively good in it’s kind; there are a lot of videos’s out there about the SG experiment and most are worse. In this video from some German at least there are some more explanation like it is not the Lorentz force because these are silver atoms. But as always in all explanations out there it misses as why exactly electrons do anti-align themselves with the applied external magnetic field. For example water molecules are a tiny electric dipole, if you apply an electric field to clean water, all these tiny electric dipoles for 100% align with the electric field. So why do electrons not do that?
As always: electrons being magnetic monopoles is a far better explanation for what we observe. But all these physics people, one hundred percent of them have no problem at all when there is no experimental evidence that electrons are indeed ‘tiny magnets’. That is what I still don’t understand: Why don’t they see that their official explanations are not very logical when you start thinking on these explanations? Why this weird behavior?
Ok, lets hang in why differentiation on the quaternions is a total horror.
The last video is a short interview with John Wheeler where he explains the concept of positrons being electrons that travel back in time. At some point John talks about an electron and positron meeting and anihilate each other. Well it has to be remarked that this doesn’t always happen. They can scatter too and why could that be? Well it fits with my simple model as electrons being magnetic monopoles. Positrons and electrons only kill each other if they have also the opposite magnetic charge…
Ok, that was it for this post. Thanks for your attention.
A long long time ago you likely learned how to calculate the sine in a rectanglular triangle. And that was something like the length of the opposite side devided by the length of the hypotenuse. But now we have those simple expressions for the volume of a non-square matrix, we can craft ‘sine like’ quotients for the minors of a matix against it’s parent matrix. I took a simple 4×2 matrix so 4 rows and 2 columns, wrote out all six 2×2 minors and defined this sine like quotient for them. As far as I know this is one hundred percent useless knowledge, but it was fun to write anyway. Likely also a long time ago you learned that if you square the sine and cosine of some angle, these squares add up to one. In this post I formulated it a little bit different because I want to make just one sine like quotient and not six ones that are hard to tell them apart. Anyway, you can view these sine like quotients as the shrinking factor if you project the parent matrix onto such a particular minor. With a projection of course you leave two rows out in you 4×2 parent matrix, or you make these rows zero. It is just what you want. The parent 4×2 matrix A we use is just a two dimensional parallelogram that hangs in 4D space, so it’s “volume” is just an area. I skipped the fact that this area is the square root of 500. I also skipped calculating the six determinants of the minors, square them and add them up so we must get 500. But if you are new to this kind of matrix version of the good ol theorem of Pythagoras, you definitely must do that in order to gain some insight and a bit of confidence into how it all works and hangs together.
But this post is not about that, it only revolves around making these sine like quotients. And if you have these six quotients, if you square them and add them all up, the result is one. Just like sin^2 + cos^2 = 1 on the real line.
Please notice that the way I define sine like quotients in this post has nothing to do with taking the sine of a square matrix. That is a very different subject and is not a “high school definition” of the sine quotient. This post is just three pictures long, here we go:
So after all these years with only a bunch of variables in most matrices I show you, finally a matrix with just integer numbers in it… Now you have a bit of proof I can be as stupid as the average math professor…;)
But serious: The tiny fact all these squares of the six sines add up to one is some kind of idea that is perfectly equivalent to the Pythagoras expression as some sum of squares. Thanks for your attention.
The reason I name these two posts a sketch of (a proof) of the full theorem of Pythagoras is that I want to leave out all the hardcore technical details. After all it should be a bit readable and this is not a hardcore technical report or so. Beside this, making those extra matrix columns until you have a square matrix is so simple to understand: It is just not possible this method does not return the volume of those parallelepiped. I added four more pictures to this sketch, that should cover more or less what I skipped in the previous post. For example we start with a non-square matrix A, turn it into a square matrix M and this matrix M always has a non-negative determinant. But in many introductionary courses on linear algebra you are thought that if you swap two columns in a matrix, the determinant changes sign. So why does this not happen here? Well if you swap two columns in the parallelepiped A, the newly added columns to make it a square matrix change too. So the determinant always keeps on returning the positive value of the volume of any parallelepiped A. (I never mentioned that all columns of A must be lineary independent, but that is logical we only look at stuff with a non-zero volume.)
Just an hour ago I found another pdf on the Pythagoras stuff and the author Melvin Fitting has also found the extension of the cross product to higher dimensions. At the end of this post you can view his pdf.
Now what all these proof of the diverse versions of Pythagorean theorems have in common is that you have some object, say a simplex or a parallelepiped, these proof always need the technical details that come with such an object. But a few posts back when I wrote on it for the first time I remarked that those projections of a parallelogram in 3D space always make it shrink by a constant factor. See the post ‘Is this the most simple proof ever?’ for the details. And there it simply worked for all objects you have as long as they are flat. May be in a next post we will work that out for the matrix version of the Pythagoras stuff.
Ok, four more pictures as a supplement to the first part. I am to lazy to repair it but this is picture number 8 and not number 12: