Physicist Melvin Vopson, of Universidade of Ele based his thesis on the behavior of information on physical, biological and atomic scales. The proposal introduces the second law of infodynamics, which states that information entropy in physical systems tends to decrease or remain constant over time.
This dynamic contrasts with the second law of thermodynamics, established in the 19th century, which predicts an increase in physical entropy and greater disorder in isolated systems. Vopson observed that systems containing states of information exhibit the opposite, with reduction or stability in informational entropy. The conclusion arises from analyzes of digital data, biological genomes and atomic structures.
Application in digital and biological systems
The second law of infodynamics has been tested in digital data storage. Arquivos in memory devices show a tendency to minimize redundancies over time.
In viral RNA genomes, mutations follow patterns that reduce informational entropy. Isso suggests optimization rather than random degradation.
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Evidence in atomic physics
Atomic orbitals follow filling rules that minimize information entropy. Elétrons preferentially occupy states of low informational entropy.
Abundant mathematical symmetries in nature correspond to states of low informational entropy. Alta symmetry reduces the amount of information needed to describe systems.
Cosmological implications of the proposed law
The expansion of the universe without heat exchange requires constant total entropy. The second law of thermodynamics indicates an increase in physical entropy, but infodynamics balances this with a reduction in informational entropy.
This compensation suggests data optimization mechanism on a cosmic scale. The universe minimizes computational requirements, similar to compression algorithms in software.
Gravity as an informational optimization process
Recent studies derive the gravitational force from minimizing informational entropy. Objetos attract each other to reduce information entropy associated with matter in space.
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This mechanism is similar to compression routines in computer simulations. Gravidade appears as an informational entropic force, aligned with the second law of infodynamics.
Connection to simulated universe hypothesis
The constant minimization of informational entropy indicates data optimization inherent in the cosmos. A complex universe would require compression mechanisms to run efficiently in simulation.
Patterns observed in digital data, biology, atoms and cosmology support this view. The proposed law provides empirical support for the idea of computational reality.
Experiments proposed for future validation
Collisions of particles and antiparticles could reveal traces of informational erasure. Frequências specific number of photons emitted would test the mass-energy-information equivalence.
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These observations would strengthen the second law of infodynamics. Positive Resultados would indicate fundamental informational nature of physical reality.
Vopson’s research integrates quantum physics, data science and information theory. Ela challenges traditional views by treating information as an essential component of the universe.