The real origin of the universe

The origin of existence can be attributed to the spontaneous breakdown or decay of a nonentity equilibrium also can be termed as quantum vacuum.


If you like, this can answer the question, what existed before the university in the very initial state of absolute emptiness.

The state of absolute emptiness or absolute quantum vacuum was a state of probabilistic equilibrium where every possibility was nullified by equal and opposite, for example we can be sure that possible entities were nullified by anti entities resulting in


probabilistic equilibrium.

But spontaneously this condition failed by itself leading to a breakdown of the equilibrium.

When equilibrium collapsed or decayed energy entities got manifestation and evolution begun.

So time could be traced way back to the breakdown of equilibrium when entities began to evolve.

This triggered the emergence of existence and its fabric, including time. 

Quantum vacuum equilibrium or nonentity equilibrium is where all probabilistic energy forms cancel out.

Like highlighted above this process is driven by probabilistic fluctuations, giving rise to the interplay between emergence (E) and de-emergence (D) or dissipation.

The dynamics of E and D are governed by a nonlinear, adaptive process, where each tries to inhibit the other. This struggle leads to the emergence of dominant string patterns and pathways that guide evolutionary processes.

The universality of E and D is postulated, suggesting that all entities, including energy and time, are composed of units or subunits that are subject to this interplay.

Mathematical Framework

To describe the interplay between E and D, we propose a stochastic differential equation (SDE) framework:

dE = μ_E * E * (1 - E/K) dt + σ_E * dW_E

dD = μ_D * D * (1 - D/K) dt + σ_D * dW_D

where:

- E and D represent the emergence and de-emergence processes, respectively

- μ_E and μ_D are the growth rates of E and D

- K is the carrying capacity, representing the maximum value of E or D

- σ_E and σ_D are the volatility coefficients, capturing the probabilistic fluctuations

- dW_E and dW_D are Wiener processes, representing the stochastic nature of the interplay

The interaction between E and D can be modeled using a coupling term:

dE = μ_E * E * (1 - E/K) dt + σ_E * dW_E - α * E * D dt

dD = μ_D * D * (1 - D/K) dt + σ_D * dW_D - β * E * D dt

where α and β represent the coupling coefficients, capturing the inhibitory effects between E and D.

This mathematical framework provides a starting point for exploring the dynamics of emergence and de-emergence. 

Further development and analysis of this model can help uncover the underlying mechanisms driving the evolution of complex systems.

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