CSCC Matrix Dimensionality @portalsandmagicghostnumbercube
CSCC Matrix Dimensionality  @portalsandmagicghostnumbercube
Uploaded August 2026 | Updated September 2026, 2 weeks ago
I think the correct way to look at these matrix diagrams is as a series of vector spaces, starting with a 3-dimensional vector space, 2-dimensional vector space, 1-dimensional vector space and finally the zero point scalar output, which is contained in all the other vector spaces as well.

In this video, I show that you can potentially have many more numbers in each vector space than the 8 corner numbers in the 3D vector space, 4 corner numbers in the 2D vector space and 2 end numbers in the 1D vector space that I've been restricting myself to study.

I ran out of matrix diagrams, but the question that I'll resolve tomorrow will be if you can have many randomly chosen numbers in any of the vector spaces.

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youtu.be/RDdx2WCphPQ?is=viLDJEbLDnFwPKrq

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youtu.be/h2BcbgLUbi4?is=_1bBrAUmV6ijGgkR

#cube #matrix #vector #scalar #mathematics
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CSCC Matrix Dimensionality

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