Unified Theory of Matter Evolution (UTME)

Definition

The evolution of matter is a hierarchical process governed by the principle of optimal energy dissipation.

Systems increase in complexity to maximize efficiency of energy dissipation, and activate structured regression to previous stable states when balance is disrupted.

Base Formula

r = \frac{P_{in}}{\pi \cdot P_{out}}

• r > 1 → complexity (evolution),

• r = 1 → stabilization (cycle),

• r < 1 → regression.

Phases

1. Complexification — growth of structures under excess energy.

2. Stabilization — balance of input and output, closed cycles (π).

3. Regression — return to simpler, stable states under imbalance.

   
   

Comparison with Fundamental Laws

1. 

First Law of Thermodynamics (Conservation of Energy)

Physics: Energy cannot be created or destroyed, only transformed.

UTME: P_{in} never disappears — it becomes P_{out} or regresses. Energy always cycles through π.

2. Second Law of Thermodynamics (Entropy)

Physics: In a closed system, entropy always increases.

UTME: Complexity does not negate entropy — it optimizes it, creating structures to dissipate energy more efficiently. Regression is the fallback to simpler states.

3. 

Third Law of Thermodynamics (Absolute Zero)

Physics: As temperature approaches 0 K, entropy approaches a minimum.

UTME: This is the final regression protocol of matter — with no P_{in}, the system collapses to a “zero state.”

4. 

Law of Universal Gravitation (Newton, Einstein)

Physics: Masses attract with force F = G \frac{m_1 m_2}{r^2}.

UTME: Gravity = a fundamental “holding protocol” that stabilizes energy into structures (galaxies, planets).

5. 

Uncertainty Principle (Heisenberg)

Physics: Position and momentum cannot both be precisely measured.

UTME: On the quantum level, regression and complexity are intertwined; uncertainty represents the “tension” between these phases.

6. 

Newton’s Third Law (Action and Reaction)

Physics: Every action has an equal and opposite reaction.

UTME: Direct reflection of P_{in} \leftrightarrow P_{out}. When input rises, output increases; otherwise, regression occurs.

7.  Conservation of Momentum

Physics: Momentum in a closed system remains constant.

UTME: Momentum is the “vector of complexity.” Even under regression, it redistributes but never disappears.

8. Electromagnetism (Maxwell’s Laws)

Physics: Changing electric fields create magnetic fields, and vice versa.

UTME: This is a fractal Pin–Pout cycle: electricity ↔ magnetism is an ideal closed stabilization loop.

Conclusion

• UTME does not contradict fundamental physical laws; instead, it reframes them as specific expressions of the universal cycle: complexity → stabilization (π) → regression.

• Each physical law addresses a level: mechanical, thermodynamic, quantum, or cosmological.

• UTME unifies them into one universal “algorithm of matter evolution.”

Cycle of Matter Evolution up to Neurons (UTME)

Beginning: The Big Bang

• Pin: an immense burst of energy, singularity expands outward.

• Phase: Complexification → emergence of space, time, and fields.

2. 

Physical Level

• Elementary particles (quarks, electrons, protons).

• They combine → atoms (hydrogen, helium).

• Stabilization: atomic structures form.

• Regression: particle decay under extreme conditions (radiation, collapse).

3. 

Chemical Level

• Heavier atoms (carbon, oxygen) form inside stars.

• Molecules appear (H₂O, organics).

• Stabilization: chemical bonds create stable molecules.

• Regression: bonds break under heat or radiation.

4. 

Biological Level

• First cells = complexification of chemistry into life systems.

• Evolution: unicellular → multicellular → organisms.

• Stabilization: metabolism, homeostasis, reproduction.

• Regression: cell death, apoptosis, cancer.

5. 

Organisms and Nervous Systems

• Organisms grow more complex → tissues and organs develop.

• Nervous cells (neurons) emerge.

• Stabilization: synapses create networks for memory and behavior.

• Regression: failures lead to dementia, degradation of neural networks.

6. 

Neuron

• The neuron = product of a multi-billion-year cycle of complexification.

• It stores and transmits information via electrical impulses.

• Pin: incoming signals (neurotransmitters, electricity).

• Pout: output (impulse, transmission forward).

• Stabilization: neural networks function as a whole.

• Regression: loss of connections, disruption of transmission.

Conclusion

• The cycle unfolds as: energy → particles → atoms → molecules → cells → organisms → neurons.

• At every stage, the same principle operates: complexification (growth), stabilization (cycle, π), regression (return to simplicity).

• The neuron is currently the peak of matter’s complexification: a living unit that unites physics, chemistry, and biology into consciousness.

I don't see the need for multiple threads on this subject.

One is more than sufficient.

1 hour ago, Zhandos_01 said:

Unified Theory of Matter Evolution (UTME)

Definition

The evolution of matter is a hierarchical process governed by the principle of optimal energy dissipation.

Systems increase in complexity to maximize efficiency of energy dissipation, and activate structured regression to previous stable states when balance is disrupted.

Base Formula

r = \frac{P_{in}}{\pi \cdot P_{out}}

• r > 1 → complexity (evolution),

• r = 1 → stabilization (cycle),

• r < 1 → regression.

Phases

1. Complexification — growth of structures under excess energy.

2. Stabilization — balance of input and output, closed cycles (π).

3. Regression — return to simpler, stable states under imbalance.

   
   

Comparison with Fundamental Laws

1. 

First Law of Thermodynamics (Conservation of Energy)

Physics: Energy cannot be created or destroyed, only transformed.

UTME: P_{in} never disappears — it becomes P_{out} or regresses. Energy always cycles through π.

2. Second Law of Thermodynamics (Entropy)

Physics: In a closed system, entropy always increases.

UTME: Complexity does not negate entropy — it optimizes it, creating structures to dissipate energy more efficiently. Regression is the fallback to simpler states.

3. 

Third Law of Thermodynamics (Absolute Zero)

Physics: As temperature approaches 0 K, entropy approaches a minimum.

UTME: This is the final regression protocol of matter — with no P_{in}, the system collapses to a “zero state.”

4. 

Law of Universal Gravitation (Newton, Einstein)

Physics: Masses attract with force F = G \frac{m_1 m_2}{r^2}.

UTME: Gravity = a fundamental “holding protocol” that stabilizes energy into structures (galaxies, planets).

5. 

Uncertainty Principle (Heisenberg)

Physics: Position and momentum cannot both be precisely measured.

UTME: On the quantum level, regression and complexity are intertwined; uncertainty represents the “tension” between these phases.

6. 

Newton’s Third Law (Action and Reaction)

Physics: Every action has an equal and opposite reaction.

UTME: Direct reflection of P_{in} \leftrightarrow P_{out}. When input rises, output increases; otherwise, regression occurs.

7.  Conservation of Momentum

Physics: Momentum in a closed system remains constant.

UTME: Momentum is the “vector of complexity.” Even under regression, it redistributes but never disappears.

8. Electromagnetism (Maxwell’s Laws)

Physics: Changing electric fields create magnetic fields, and vice versa.

UTME: This is a fractal Pin–Pout cycle: electricity ↔ magnetism is an ideal closed stabilization loop.

Conclusion

• UTME does not contradict fundamental physical laws; instead, it reframes them as specific expressions of the universal cycle: complexity → stabilization (π) → regression.

• Each physical law addresses a level: mechanical, thermodynamic, quantum, or cosmological.

• UTME unifies them into one universal “algorithm of matter evolution.”

Cycle of Matter Evolution up to Neurons (UTME)

Beginning: The Big Bang

• Pin: an immense burst of energy, singularity expands outward.

• Phase: Complexification → emergence of space, time, and fields.

2. 

Physical Level

• Elementary particles (quarks, electrons, protons).

• They combine → atoms (hydrogen, helium).

• Stabilization: atomic structures form.

• Regression: particle decay under extreme conditions (radiation, collapse).

3. 

Chemical Level

• Heavier atoms (carbon, oxygen) form inside stars.

• Molecules appear (H₂O, organics).

• Stabilization: chemical bonds create stable molecules.

• Regression: bonds break under heat or radiation.

4. 

Biological Level

• First cells = complexification of chemistry into life systems.

• Evolution: unicellular → multicellular → organisms.

• Stabilization: metabolism, homeostasis, reproduction.

• Regression: cell death, apoptosis, cancer.

5. 

Organisms and Nervous Systems

• Organisms grow more complex → tissues and organs develop.

• Nervous cells (neurons) emerge.

• Stabilization: synapses create networks for memory and behavior.

• Regression: failures lead to dementia, degradation of neural networks.

6. 

Neuron

• The neuron = product of a multi-billion-year cycle of complexification.

• It stores and transmits information via electrical impulses.

• Pin: incoming signals (neurotransmitters, electricity).

• Pout: output (impulse, transmission forward).

• Stabilization: neural networks function as a whole.

• Regression: loss of connections, disruption of transmission.

Conclusion

• The cycle unfolds as: energy → particles → atoms → molecules → cells → organisms → neurons.

• At every stage, the same principle operates: complexification (growth), stabilization (cycle, π), regression (return to simplicity).

• The neuron is currently the peak of matter’s complexification: a living unit that unites physics, chemistry, and biology into consciousness.

Reads like Ai crap