Spacetime temporal symmetry breaking
matrix formulation to capture the relationship between time and space: T = [ [t_11, t_12, t_13, ..., t_1n], [t_21, t_22, t_23, ..., t_2n], [t_31, t_32, t_33, ..., t_3n], ... [t_m1, t_m2, t_m3, ..., t_mn] ] Where the matrix T represents the temporal dynamics and rate interactions at different points in time and space. And the transformation between time and space was expressed as: [r_1(t), r_2(t), r_3(t)] = S × T Where the matrix S contained the transformation coefficients that mapped the temporal dynamics (T) to the spatial coordinates (r_1, r_2, r_3). Now, with the incorporation of temporal symmetry breaking, we can further refine this matrix-based representation: T = [ [t_11 + δO_11, t_12 + δO_12, t_13 + δO_13, ..., t_1n + δO_1n], [t_21 + δO_21, t_22 + δO_22, t_23 + δO_23, ..., t_2n + δO_2n], [t_31 + δO_31, t_32 + δO_32, t_33 + δO_33, ..., t_3n + δO_3n], ... [t_m1 + δO_m1, t_m2 + δO_m2, t_m3 + δO_m3, ..., t_mn + δO_mn] ] In this matrix T, each element t_ij includes the correspon...