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== Guiding Questions and Comments by Eric Weinstein ==
== Guiding Questions and Comments by Eric Weinstein ==
<div class="toccolours mw-collapsible mw-collapsed" style="width:400px; overflow:auto;">
<div class="toccolours mw-collapsible mw-collapsed" style="width:400px; overflow:auto;">
<div style="font-weight:bold;line-height:1.6;">What is $$F_A$$ geometrically?</div>
<div style="font-weight:bold;line-height:1.6;">What is <math>F_A</math> geometrically?</div>
<div class="mw-collapsible-content">
<div class="mw-collapsible-content">
$$F_A$$ is the curvature tensor associated to the connection or vector potential $$A$$.
<math>F_A</math> is the curvature tensor associated with the connection or vector potential <math>A</math>.
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<div class="toccolours mw-collapsible mw-collapsed" style="width:400px; overflow:auto;">
<div class="toccolours mw-collapsible mw-collapsed" style="width:400px; overflow:auto;">
<div style="font-weight:bold;line-height:1.6;">What are $$R_{\mu v}$$ and $$R$$ geometrically?</div>
<div style="font-weight:bold;line-height:1.6;">What are <math>R_{\mu v}</math> and <math>R</math> geometrically?</div>
<div class="mw-collapsible-content">
<div class="mw-collapsible-content">
[https://www.youtube.com/watch?v=UfThVvBWZxM&t=12m6s Explanation of $$R$$]
[https://www.youtube.com/watch?v=UfThVvBWZxM&t=12m6s Explanation of <math>R</math>]


$$R$$ is a scalar value, describing the "curvature of the spacetime manifold" at each point along the manifold. It's based on a concept of 'parallel transport', where you move a vector around some path on the manifold.  
<math>R</math> is a scalar value, describing the "curvature of the spacetime manifold" at each point along the manifold. It's based on a concept of 'parallel transport', where you move a vector around some path on the manifold.  


$$R$$ can be computed at each point on the manifold, and describes the difference in the vector's angle after following an infinitesimally small path around the neighborhood of that point, vs. what it was originally. The video does a great job of visualizing when and why that vector angle change would happen, with flat vs. curved manifolds.
<math>R</math> can be computed at each point on the manifold, and describes the difference in the vector's angle after following an infinitesimally small path around the neighborhood of that point, vs. what it was originally. The video does a great job of visualizing when and why that vector angle change would happen, with flat vs. curved manifolds.


In the video, they focus first on the curvature of space. Hopefully they incorporate back in curvature in time, because that's less obvious.
In the video, they focus first on the curvature of space. Hopefully they incorporate back in curvature in time, because that's less obvious.


The same video then proceeds to explain $$R_{\mu v}$$. It progresses through some concepts.
The same video then proceeds to explain <math>R_{\mu v}</math>. It progresses through some concepts.
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First, just describing the length of a vector on a curved space is hard. It is given by:
First, just describing the length of a vector on a curved space is hard. It is given by:


$$Length^{squared} = g_{11}dX^{1}dX^{1} + g_{12}dX^{1}dX^{2} + g_{21}dX^{2}dX^{1} + g_{22}dX^{2}dX^{2}$$
<math>Length^{squared} = g_{11}dX^{1}dX^{1} + g_{12}dX^{1}dX^{2} + g_{21}dX^{2}dX^{1} + g_{22}dX^{2}dX^{2}</math>


Some notes:
Some notes:


* This is not Pythagorean theorem, because $$dX^{1}$$ and $$dX^{2}$$ are not perpendicular.  
* This is not Pythagorean theorem, because <math>dX^{1}</math> and <math>dX^{2}</math> are not perpendicular.  
* Instead, looks like a formula to get the diagonal from two opposite vertices in a parallelogram.  
* Instead, looks like a formula to get the diagonal from two opposite vertices in a parallelogram.  
* If $$dX^{1}$$ and $$dX^{2}$$ are perpendicular, then $$g_{12}$$ and $$g_{21}$$ would be 0, and we would get $$Length^{squared} = g_{11}(dX^{1})^{2} + g_{22}(dX^{2})^{2}$$
* If <math>dX^{1}</math> and <math>dX^{2}</math> are perpendicular, then <math>g_{12}</math> and <math>g_{21}</math> would be 0, and we would get <math>Length^{squared} = g_{11}(dX^{1})^{2} + g_{22}(dX^{2})^{2}</math>
* See: [https://www.youtube.com/watch?v=UfThVvBWZxM&t=14m27s the video @ 14m27s]
* See: [https://www.youtube.com/watch?v=UfThVvBWZxM&t=14m27s the video @ 14m27s]


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Then, they show parallel transport when following a parallelogram, but over a curved 3D manifold. To compute the vector rotation by components, they show:
Then, they show parallel transport when following a parallelogram, but over a curved 3D manifold. To compute the vector rotation by components, they show:


$$dV^{1} = dX^{1}dX^{2} (V^{1}R^{1}_{112} + V^{2}R^{1}_{212} + V^{3}R^{1}_{312})$$
<math>dV^{1} = dX^{1}dX^{2} (V^{1}R^{1}_{112} + V^{2}R^{1}_{212} + V^{3}R^{1}_{312})</math>


$$dV^{2} = dX^{1}dX^{2} (V^{1}R^{2}_{112} + V^{2}R^{2}_{212} + V^{3}R^{2}_{312})$$
<math>dV^{2} = dX^{1}dX^{2} (V^{1}R^{2}_{112} + V^{2}R^{2}_{212} + V^{3}R^{2}_{312})</math>


$$dV^{3} = dX^{1}dX^{2} (V^{1}R^{3}_{112} + V^{2}R^{3}_{212} + V^{3}R^{3}_{312})$$
<math>dV^{3} = dX^{1}dX^{2} (V^{1}R^{3}_{112} + V^{2}R^{3}_{212} + V^{3}R^{3}_{312})</math>




or, using $$i$$ to summarize across all 3 components (difference vectors):
or, using <math>i</math> to summarize across all 3 components (difference vectors):


$$dV^{i} = dX^{1}dX^{2} (V^{1}R^{i}_{112} + V^{2}R^{i}_{212} + V^{3}R^{i}_{312})$$
<math>dV^{i} = dX^{1}dX^{2} (V^{1}R^{i}_{112} + V^{2}R^{i}_{212} + V^{3}R^{i}_{312})</math>


or , using $$j$$ to index over all 3 components (original vector):
or , using <math>j</math> to index over all 3 components (original vector):


$$dV^{i} = dX^{1}dX^{2} \Sigma_{j} [(V^{j}R^{i}_{j12}]$$
<math>dV^{i} = dX^{1}dX^{2} \Sigma_{j} [(V^{j}R^{i}_{j12}]</math>


See: [https://www.youtube.com/watch?v=UfThVvBWZxM&t=19m33s the video @ 19m33s]
See: [https://www.youtube.com/watch?v=UfThVvBWZxM&t=19m33s the video @ 19m33s]
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Putting it all together
Putting it all together


Now, moving to 4D, we can compute $$R_{\mu v}$$ as:
Now, moving to 4D, we can compute <math>R_{\mu v}</math> as:


$$R_{00} = R^{0}_{000} + R^{1}_{010} + R^{2}_{020} + R^{3}_{030}$$
<math>R_{00} = R^{0}_{000} + R^{1}_{010} + R^{2}_{020} + R^{3}_{030}</math>


$$R_{10} = R^{0}_{100} + R^{1}_{110} + R^{2}_{120} + R^{3}_{130}$$
<math>R_{10} = R^{0}_{100} + R^{1}_{110} + R^{2}_{120} + R^{3}_{130}</math>


$$R_{01} = R^{0}_{001} + R^{1}_{011} + R^{2}_{021} + R^{3}_{030}$$
<math>R_{01} = R^{0}_{001} + R^{1}_{011} + R^{2}_{021} + R^{3}_{030}</math>


etc.
etc.
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Indexing i over all 4 component vectors / dimensions, we get:
Indexing i over all 4 component vectors / dimensions, we get:


$$R_{00} = \Sigma_{i} R^{i}_{0i0}$$
<math>R_{00} = \Sigma_{i} R^{i}_{0i0}</math>


$$R_{10} = \Sigma_{i} R^{i}_{1i0}$$
<math>R_{10} = \Sigma_{i} R^{i}_{1i0}</math>


$$R_{01} = \Sigma_{i} R^{i}_{0i1}$$
<math>R_{01} = \Sigma_{i} R^{i}_{0i1}</math>


etc.
etc.


Summarizing on $$\mu$$, we get:
Summarizing on <math>\mu</math>, we get:


$$R_{\mu 0} = \Sigma_{i} R^{i}_{\mu i0}$$
<math>R_{\mu 0} = \Sigma_{i} R^{i}_{\mu i0}</math>


$$R_{\mu 1} = \Sigma_{i} R^{i}_{\mu i1}$$
<math>R_{\mu 1} = \Sigma_{i} R^{i}_{\mu i1}</math>


etc
etc


Summarizing on $$v$$, we get:
Summarizing on <math>v</math>, we get:


$$R_{\mu v} = \Sigma_{i} R^{i}_{\mu iv}$$
<math>R_{\mu v} = \Sigma_{i} R^{i}_{\mu iv}</math>




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== Resources ==
== Resources ==
* [[Theory_of_Geometric_Unity|Eric Weinstein's Geometric Unity project]].
* [https://drive.google.com/file/d/1ZMT8nDyF6qT5nh6hiCjrHyX4giKKmGSA/view?usp=sharing New Graph-Wall Mind Map]
* [https://drive.google.com/file/d/16r60-56mhYCx4KKBvZv_6HDLOLw43X7y/view?usp=sharing Map of Witten's Physics and Geometry Essay]
* [https://docs.google.com/document/d/1t9AvvFZzODw1WiGRZwRsFFZdPdBzYVJGLHiqWNrMtIA/edit?usp=sharing Master Planning Doc]
* [https://drive.google.com/drive/folders/1706CBEJQEMppV60OU8OtcXxicluk2T3Y?usp=sharing Drive Folder]
* [https://docs.google.com/document/d/18rN-zfv41xeH3WFNOrZNb7Clz-yu1dgulP4bcEPKbcY/edit?usp=sharing List of Reference Material]
 
[[Category:Graph, Wall, Tome]]
[[Category:Graph, Wall, Tome]]
[[Category:Projects]]
[[Category:Projects]]