| I am intrigued by your ideas and wish to subscribe to your newsletter. Lol, this is not the first time that I am mocked here :) How does Stokes' theorem in a discrete setting just amount to associativity? Manifolds are modeled by graphs, and calculus on manifolds becomes linear algebra using the matrices naturally associated to these graphs. Consider a graph with n vertices and m edges. The most important matrix is the oriented incidence matrix B, of size mxn, that has a single +1 and a single -1 on each row, indicating the vertices connected by the corresponding edge. Scalar fields := functions defined over the vertices = vectors of R^n Vector fields := functions defined over the edges = vectors of R^m When you interpret matrices as linear operators: B : R^n -> R^m is the gradient operator
-B' : R^m -> R^n is the divergence operator
-B'.B : R^n -> R^n is the laplacian
A subset of the vertices is given by a binary vector M \in R^n. The integral of a scalar field f over M is M'.fThe outwards boundary of a subset M is -B.M. The flux of a vector field F through this boundary is (-B.M)'.F Stokes theorem is thus the trivial identity (-B.M)'.F = M'.(-B'.F) (I use a dot for matrix products because the star breaks the formatting. You can also define the divergence without the minus sign, but I like my laplacians to be negative-definite, it feels weird otherwise.) |
I think this is in fact the same thing as the "true by definition" found in the second of my links above -- but I hadn't thought hard enough about how that cashes out concretely to see that you can express it as the associativity of a three-way product. Nice.