A New Theory Is Developed to Explain Real World Randomness

A New Theory Is Developed to Explain Real World Randomness

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Researchers from various countries in Europe came up with a new theory to explain the randomness of real life. The researchers' new theory was created based on Levy's march.
Brownian motion defines the random movement of particles in a liquid. However, this model can only explain when a liquid is static or stable. In real life, liquids often contain particles that float themselves. The movement of these particles causes mixing in the liquid, removing the liquid from the equilibrium state.

Previous experiments showed that immobile particles act interestingly when interacting with liquids that contain more moving particles. These movements do not match the traditional particle behavior defined by Brownian movements.

Now researchers from London's Queen Mary University, Tsukuba University, École Polytechnique Fédérale de Lausanne and Imperial College London have introduced a new theory to explain the movement of particles observed in dynamic environments.

"Brownian motion cannot be used to describe the motion of particles in an active system"

Researchers suggest that the new model can help make predictions about the behavior patterns of life in biological systems, such as the diet of algae and bacteria. Dr. is a faculty of applied mathematics at Queen Mary University in London. Regarding their theory, Adrian Baule said, "Brown's movement is widely used to describe the transition between physics, chemistry and biology. However, it cannot be used to describe the motion of particles in more active systems that we often observe in real life. "

The researchers obtained an effective model for the movement of particles in active liquids that explained experimental observations by solving the dynamics of motion between passive particles that do not move and particles that move.

The researchers' extensive calculations revealed that particle dynamics effectively followed Levy's movements, which were used to describe movements in complex systems such as ecological systems or earthquake dynamics.

Scientists think that the density of microorganisms that are actively floating around them also affects the duration of Levy's gait, they can use Levy's gait to develop the best food search strategies in different environments.

Dr. Adrian Baule said, the results might depend on the optimal microorganism food discovery strategy in their environment. "For example, while active searches on creatures that look for prey with higher densities are more successful, lower densities may not be as successful as expected," Baule said.

This collaboration of scientists not only explains the search for nutrients from floating microorganisms or how particles such as plastic interact with more passive particles. It also explains how randomness in an unstable environment arises. The researchers say that their theory can be used not only in science such as physics or biology, but also in financial markets.
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