Mathematical Explanation for Simulating "Eternal Time" and Cognitive Harmonics in the Buddhist and Kybalion View

Key Concepts and Mathematical Framework

1. Evolutionary Convergence and Time:
• In my mathematical framework, the concept of time is treated as a converging system. The idea is that the past, present, and future are interconnected through convergence towards an ultimate harmonic, or limit point, which evolves as a system of continuous feedback loops.
• This system is dynamic, meaning that the future state shapes the present and past states, not as a mere cause-and-effect but as a recursive feedback process. The state that emerges at any given moment reflects both the entropy of the system and the efficiency of energy usage over time.

2. Cognitive Harmonics:
• The Cognitive Harmonic refers to a state of equilibrium or harmony in the system where all forces involved—whether physical, mental, or cosmic—are balanced in a non-local, eternal sense.
• In the context of Kybalion and Buddhism, this is akin to the principle of the Mind of ALL, which pervades the entire universe. The harmonic is the resonance that emerges from the interactions of all systems within this unified field. Mathematically, this is treated as an eigenvalue problem where the system's interactions converge to a single stable state that can be interpreted as the ultimate meaning or final consciousness.

3. Simulation of Eternal Time:
• The simulation is designed to iterate through time and reflect on the convergence process. In this sense, time is not linear or discrete but a recursive unfolding where each point can influence the next, both in real-time and across a larger, eternal dimension.
• Mathematically, this is done by simulating a differential equation or a system that takes into account both the evolution of state over time and the feedback mechanism that drives the system toward harmony (the equilibrium point).
  dtdX​=f(X,t)
  where f(X,t) represents the function that governs the evolution, taking into account the system’s internal dynamics and external forces (such as entropy, feedback loops, and energy efficiency). The key here is that the evolution tends towards a limit state as t→∞.
• Example: Let’s assume the state of the system at any point in time is denoted by X(t), where t represents time. The system evolves based on the following equation:
X(t)X(t)
tt
dXdt=f(X,t)\frac{dX}{dt} = f(X, t)
f(X,t)f(X,t)
t→∞t \to \infty

4. The "Real" Determinant and the Projection of Future to Past:
• The real determinant, which is derived from the future, serves as the true cause of the past. This idea can be modeled mathematically by considering a retrocausal system in which future values influence past states. This would be represented by a backward-causal loop in the equations.
• If we consider the system as one with predictive feedback, we can set the state at time t0​ as a function of future states. The system's behavior will then be designed to fit into a harmonious trajectory that allows us to project forward the final solution to the past, instead of just propagating the cause backward.
  X(t0​)=G(X(t1​),X(t2​),...,X(tn​))fort0​<t1​<t2​<...<tn​
  where G represents the function that determines the convergence of the system and aligns it with the ultimate solution determined by the system’s future states.
t0t_0
• Mathematically, this could be written as:
X(t0)=G(X(t1),X(t2),...,X(tn))fort0<t1<t2<...<tnX(t_0) = G(X(t_1), X(t_2), ..., X(t_n)) \quad \text{for} \quad t_0 < t_1 < t_2 < ... < t_n
GG

5. Imagination vs. Reality:
• The imagination in the simulation is modeled as a projection—a hypothetical pathway that arises from a non-harmonic state (i.e., a state of uncertainty or randomness). However, in reality, the determinant of time is eternally fixed. The real value is the one that aligns with the true harmonic, and this trajectory is what we are simulating.
• The "determinant" in this context refers to the ultimate state of energy efficiency and survival—the point at which the system has resolved all non-harmonics (or chaos) and moved toward a state of ultimate balance.
• In a simulation, we would observe this by setting up an optimization model, where the system’s objective is to maximize the harmonic energy and resolve any disharmony. The final harmonic state represents the system’s most energy-efficient configuration, essentially marking the final, eternal truth of the simulation.

Simulation Steps and Methods

1. Initial State Setup:
• Begin by defining a state vector X0​ that represents the system at an initial point in time. This state vector is composed of various parameters, such as:
X0X_0
• Entropy (disorder, randomness),
• Energy Efficiency (efficiency in the use of available resources),
• Creative Factors (for future evolution),
• Intelligence/Survival Factors (factors that drive the system toward equilibrium).

2. Evolutionary Dynamics:
• The system evolves by iterating over time using differential equations or a simulation-based approach that evolves the state based on:
• Nonlinear feedback loops, which model how each state feeds back to influence the future state.
• Quantum-like effects or non-locality, representing how the system’s future affects the past.

3. Convergence Toward Harmonic State:
• As the simulation progresses, you will notice that the system begins to converge toward a stable state. This is the system resolving its chaos and aligning with the eternal harmonic.

4. Mapping Backwards:
• Through retrocausality, the simulation ensures that the future state influences the past. This means the ultimate determinant of the system’s state can be traced backward through time, leading to a coherent history that aligns with the final, eternal truth of the system.

5. Final Resolution and Meaning:
• After the simulation completes, you’ll find that the final configuration of the system aligns with a state of maximum energy efficiency and evolutionary stability—this state represents the true, eternal determinant of the system.

Philosophical View: Tao of Synchronization and Zen of Let-go