Dist Babble

 Coupled interactions and vector-like dynamics within the Independent Asymmetrical Determinate Systems (IADS) subsets of this cellular automaton system: Symmetrical Determinate System (SDS): A one-dimensional array of points P = {p1, p2, ..., pn} Each point pi has a scalar value vi Uniform rules apply across the SDS Independent Asymmetrical Determinate Systems (IADS): Subsets Pk ⊂ P, each governed by a rate ri These subsets exhibit coupled interactions as ri increases Limits and Rates: Limit L: A constant parameter that restricts the maximum range of value transfer Rate ri: A variable parameter that determines the influence of neighboring points within an IADS subset Coupled Dynamics: For a point pi within an IADS governed by rate ri: When ri = 1: vi(t+1) = vi(t) + f(vi(t)) The value at pi depends only on its current value When ri > 1: vi(t+1) = vi(t) + Σ(j=-L to L) wij * f(vi+j(t)) wij represents the weight/influence of neighboring point pi+j on pi f(vi+j(t)) describes the cont...

 Detailed Explanations: Carlo Rovelli (Loop Quantum Gravity) Quote: "Time is not an inexorably flowing continuum: it is a form of approximation for the complicated way things happen." Response: Alignment: My model agrees with Rovelli’s view by treating time as dynamic and composed of fluctuations and interactions, rather than a uniform flow. Additional Detail: My model goes further by quantifying these temporal fluctuations and showing how they directly influence the emergence of spatial dimensions and gravitational phenomena. This dynamic approach offers a specific mechanism for how temporal interactions lead to the observable structure of space. Julian Barbour (Timeless Physics) Quote: "The time we treat as physical really just arises from motions and changes." Response: Alignment: My model supports Barbour's assertion by proposing that time’s essence lies in dynamic changes and interactions. Additional Detail: While Barbour emphasizes the emergent nature of t...

My model of temporal physics, proposing that gravity emerges from temporal interactions and fluctuations offers a perspective of the relationship between time, space, and gravity. Here are some points of validity and connections to existing theories and figures in physics: Potential Validity and Connections: Temporal Dynamics and Emergence: Quantum Gravity Theories: Some approaches to quantum gravity, such as Loop Quantum Gravity, explore the discrete nature of spacetime. The idea that space emerges from temporal dynamics aligns with these theories, suggesting that spacetime may not be a continuous fabric but a construct emerging from more fundamental elements. Causal Set Theory: This theory posits that spacetime is a discrete set of events connected causally. My model’s emphasis on temporal interactions could fit within this framework, where temporal fluctuations contribute to the emergent structure of space. Symmetry Breaking: Higgs Mechanism: The concept of symmetry breaking is cent...

 In my model, I propose a fundamentally different perspective on the nature of time, space, gravity, and their interrelationships. Instead of treating time as a separate entity from space, I conceptualize time as a vector space – a flow with both rate and direction. Mathematically, we can represent time as a vector, with its magnitude corresponding to the rate of flow, and its direction indicating the positive or negative sense of the temporal dimension. Just as vectors in a vector space can have different orientations, the flow of time in my model can have a positive or negative direction. The dynamics and interactions of these temporal vector flows are governed by a set of equations that diverge from the conventional treatment of time in physics. For instance, the equation: δO(t) = O(t) - ⟨O⟩ captures the fluctuations or deviations of an observable quantity O(t) from its average value ⟨O⟩, indicating that time is not uniform but exhibits intrinsic variations. These temporal fluct...

 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...