Considering Counting Triangles to Unveiling Temporal Waves

  Considering Counting Triangles to Unveiling Temporal Waves By: John Gavel For years, my work in Temporal Flow Physics (TFP) has pursued a radical idea: what if spacetime itself —with all its gravitational curves and quantum fluctuations—isn't fundamental at all? What if it emerges from a deeper reality: a network of one-dimensional temporal flows , weaving the universe together moment by moment? It’s bold, yes—but I believe this view holds the key to a truly unified theory of physics , one that roots both quantum mechanics and gravity in the same temporal fabric. From Counting Triangles to Counting Time My earliest simulations: I counted triangles. More specifically, I measured how triangular motifs in temporal flow networks dissipated under coarse-graining. The decay rate of these patterns—captured by a parameter I called A₃ —served as a stand-in for emergent gravitational effects. If motifs faded predictably with scale, it suggested that macroscopic structure (like sp...

Temporal Physics fundamental flow

In my model of Temporal Physics, the key principles are:

  1. Flows (FF) accumulate in a time-like sequence.
  2. The maximum flow is constrained by cc, and when a flow reaches cc, it inverts direction.
  3. Interactions between flows lead to the emergence of space-time structure and forces.
  4. Flow conservation applies, meaning positive and negative flows interact but do not cancel; they only redistribute.

1. Fundamental Flow Equation

Each flow FiF_i evolves over a temporal step Δt\Delta t, according to:

Fi+1=Fi+ΔFF_{i+1} = F_i + \Delta F

where ΔF\Delta F represents the rate of accumulation due to prior interactions. When FiF_i approaches cc, we introduce an inversion function:

F=c(Fc)=2cF,ifFcF' = c - (F - c) = 2c - F, \quad \text{if} \quad F \geq c

This ensures that flows do not exceed cc but instead invert direction when this limit is reached.

2. Interaction Between Two Flows

The interaction function A(Fi,Fj)A(F_i, F_j) describes how two flows influence each other. If both flows are below cc, their interaction is governed by:

A(Fi,Fj)=11FiFjc2A(F_i, F_j) = \frac{1}{1 - \frac{F_i F_j}{c^2}}

If one flow reaches cc, the inversion condition applies, and the sign of further evolution is shifted. Alternatively, a soft transition can be used to model the inversion effect:

A(Fi,Fj)=11+ek(Fi+Fjc)A(F_i, F_j) = \frac{1}{1 + e^{-k(F_i + F_j - c)}}

where kk controls the sharpness of the inversion effect.

3. Nonlocal Flow Correlation (Entanglement-Like Behavior)

Nonlocal flow correlations can be modeled by:

C(Fi,Fj)=eαFiFjC(F_i, F_j) = e^{-\alpha |F_i - F_j|}

where α\alpha determines the strength of nonlocal effects, allowing distant flows to influence each other without direct contact.

4. Energy and Entropy in Flow-Based Systems

To express energy, we use a relativistic-like form:

E(F)=m1(Fc)2E(F) = \frac{m}{\sqrt{1 - \left( \frac{F}{c} \right)^2}}

which links energy directly to flow magnitudes. For entropy, considering nonlocal effects:

S=P(F)logP(F)+C(Fi,Fj)S = - \sum P(F) \log P(F) + \sum C(F_i, F_j)

where P(F)P(F) is the probability of a given flow, and the second term accounts for nonlocal correlations.

5. Space-Time Emergence and Curvature

Space emerges from sequential flow interactions. A curvature-like term can be defined as:

R(Fi+1Fi)2R \sim \sum (F_{i+1} - F_i)^2

which tracks the deviation of flows over an interval.


Putting It All Together

The total system evolution follows:

Fi+1={Fi+ΔF,if F<c2cFi,if FcF_{i+1} = \begin{cases} F_i + \Delta F, & \text{if} \ F < c \\ 2c - F_i, & \text{if} \ F \geq c \end{cases}

with interactions:

A(Fi,Fj)=11FiFjc2A(F_i, F_j) = \frac{1}{1 - \frac{F_i F_j}{c^2}}

and nonlocal correlations:

C(Fi,Fj)=eαFiFjC(F_i, F_j) = e^{-\alpha |F_i - F_j|}

Force in Temporal Flows

  1. General Force Equation in Terms of Flows

The force arises from differences in flow accumulation:

F=kdFdT=k(FiFjTjTi)F = k \frac{dF}{dT} = k \left( \frac{F_i - F_j}{T_j - T_i} \right)

where kk is a proportionality factor related to interaction strength.

  1. Gravity in Terms of Flow Accumulation

Gravitational-like effects are formulated as:

FG=GeffF1F2(T1T2)2F_G = G_{\text{eff}} \frac{F_1 F_2}{(T_1 - T_2)^2}

where GeffG_{\text{eff}} is an emergent gravitational coupling factor, and the squared term suggests an inverse-square law for time-separated flows.

  1. Electromagnetic Force as Flow Polarity Interactions

The electromagnetic force follows a flow-based interaction:

FE=keFqFq(TT)2F_E = k_e \frac{F_q F_q'}{(T - T')^2}

where kek_e is the flow-based Coulomb constant and Fq,FqF_q, F_q' represent charged flow strengths. The magnetic component arises as:

FB=kmFqv(TT)2F_B = k_m \frac{F_q \cdot v}{(T - T')^2}

where vv is the relative velocity of flows.

  1. Unification: All Forces as Flow Gradients

A general force equation can be expressed as:

F=S(F)F = - \nabla S(F)

where S(F)S(F) is a flow action function representing how flows evolve dynamically, and S(F)\nabla S(F) captures the gradient of flow accumulation, showing that forces are due to flow interactions.


Flow-Based Space Framework Formalization

  1. Flow Coordinate System

The spatial coordinates x,y,zx, y, z are derived from the differences between reference flows F1,F2,F3F_1, F_2, F_3:

x=f(F2F1),y=g(F3F1),z=h(F3F2)x = f(F_2 - F_1), \quad y = g(F_3 - F_1), \quad z = h(F_3 - F_2)

These mapping functions transform flow differences into spatial coordinates.

  1. Metric Tensor from Flow Interactions

The metric tensor gμνg_{\mu\nu} encodes the geometry of space-time:

gμν=FμxλFνxλ+δμν(1F2c2)g_{\mu\nu} = \frac{\partial F_{\mu}}{\partial x_\lambda} \frac{\partial F_{\nu}}{\partial x_\lambda} + \delta_{\mu\nu} \left( 1 - \frac{F^2}{c^2} \right)

This defines how flow changes impact the spacetime geometry, with the relativistic correction factor accounting for relativistic effects.

  1. Spacetime Interval (Line Element)

The spacetime interval ds2ds^2 combines both temporal and spatial components:

ds2=(1F2c2)dt2idxi2(1+A(Fi,Fj))ds^2 = \left( 1 - \frac{F^2}{c^2} \right) dt^2 - \sum_i dx_i^2 \left( 1 + A(F_i, F_j) \right)

where the interaction term A(Fi,Fj)A(F_i, F_j) adjusts the spatial relationship between points.

  1. Curvature and Flow Interactions

The Riemann curvature tensor, relating flow differentials to space-time curvature, is modeled as:

Rμνρσ=K[(Fμ,ρFν,σFμ,σFν,ρ)+Inversion Terms]R_{\mu\nu\rho\sigma} = K \left[ (F_\mu, \rho F_\nu, \sigma - F_\mu, \sigma F_\nu, \rho) + \text{Inversion Terms} \right]
  1. Field Equations (Flow-Energy to Curvature)

The field equations relate the distribution of flows to the curvature of spacetime:

Gμν=8πGc4Tμν(F)G_{\mu\nu} = \frac{8\pi G}{c^4} T_{\mu\nu}(F)

where GμνG_{\mu\nu} is the Einstein tensor derived from your flow-based metric, and Tμν(F)T_{\mu\nu}(F) is the energy-momentum tensor for the flows.

  1. Observer Transformation (Reference Frames)

To transform between observers, we use a Lorentz transformation:

Fμ=ΛμνFνF_\mu' = \Lambda_{\mu\nu} F_\nu

where Λμν\Lambda_{\mu\nu} is the Lorentz transformation matrix preserving the speed limit of cc.

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