Zhandos_01

You dismissed it immediately without carefully considering it

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 Complexification — growth of structures under excess energy. Stabilization — balance of input and output, closed cycles (π). 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.

That’s exactly what I was writing about. I’m not a physicist, and I’m asking for help — it works. I’m writing through a translator. Do you understand physics?

According to our theory: No, simply dividing a sphere by three axes (or shafts) would not in itself “preserve” or create free energy. UTEM Invariant. Free (available) energy in a system is maintained only if r=\frac{P_{in}}{\max(P_{out},\varepsilon)} \ge 1. Dividing the geometry (a sphere into 8 octants by three orthogonal axes) does not change P_{in} and usually increases P_{out} (new boundaries, friction, leakage). Thus r normally decreases, not increases. If the axes are imaginary (mathematical). Geometry changes, but physical flows do not. So P_{in} and P_{out} remain the same → no gain in free energy. If the axes are real partitions/shafts. Passive partitions add surfaces → more dissipation → P_{out}↑ → r↓. Active rotating shafts create friction and heating → again P_{out}↑ unless externally supplied. Without an external gradient, no useful work can be extracted (law of conservation + 2nd law). When is free energy “maintained”? Only if a stable input flow P_{in} (temperature/chemical/light, etc.) is ≥ total losses P_{out}. Geometry (like dividing) can at best reduce leakage or redirect flows, but cannot be a source itself. Conclusion (UTEM): dividing a sphere into parts is a change of form, not of flows. Without a source of gradient and architecture that reduces P_{out}, free energy is not “maintained” and certainly not created. To retain it, P_{in}\ge P_{out} must hold; axes/partitions may only adjust dissipation, but they never cancel the laws.

Good day! My name is Zhandos. I discovered a certain pattern five days ago. Thanks to this pattern, I mastered all three laws of thermodynamics in just two days. I myself work as a lawyer and have always been far from physics and mathematics. I found the pattern in biology. And in the process, I realized that this law works everywhere. I know the answer to all the paradoxes of physics. At one point it seemed to me that I had gone crazy, but then I realized — it works!!!!!!!!! I saw on the Internet that you are working on a similar theory and decided to write to you. I ask for your help: if I am right, humanity will enter a new phase. Just in case, my phone number is personal data removed. Please help me. P.S. I understand the underlying reason behind the number π, as well as the Fibonacci sequence. 📑 UTEM — Unified Theory of Matter Evolution 1. Core Definition The evolution of matter is a hierarchical process governed by the principle of optimal energy dissipation. Complexification = growth of structures for more efficient energy dissipation. Regression = return to the previous stable state when balance is disrupted. 2. Basic Formula (Invariant) r = \frac{P_{in}}{\max(P_{out}, \varepsilon)} P_{in} — incoming flow of energy/resource. P_{out} — current expenditures/dissipation. r > 1 → complexification. r = 1 \pm \delta → stabilization. r < 1 → regression. This is the universal condition of phase transitions at all levels of matter. 3. Examples (Physics) Law of conservation of energy = Core limitation: energy never disappears, only redistributes across phases. Second law of thermodynamics = formulation of the tendency toward regression (entropy growth), but UTEM adds the phase of complexification (local entropy decrease when P_{in} > P_{out}). Gravitational collapse = regression at Level 2 (physics). Photosynthesis = complexification at Level 4 (biology), direct confirmation of the mechanism P_{in} > P_{out}. 4. Predictions Fractality: the same cycle “complexification → stabilization → regression” applies from atoms to civilizations. Variability of constants: fundamental values may drift toward the optimum for maximal dissipation. Black holes: regression protocol down to the level of elementary particles. 5. Key Idea for Physicists UTEM does not abolish physical laws but unites them into a single meta-algorithm: Physical laws = particular manifestations of one principle — the balance of energy flows. This text has been translated (errors are possible).