Unification through probability density gradients

In summary, the conversation discusses the concept of gravity being an effect of uncertainty gradients, which is supported by probabilistic phenomena in quantum mechanics. The idea is that uncertainty creates an expulsive effect on reality, causing an attraction towards reference masses and resulting in an observed gravitational force. This theory has potential implications for both applied and theoretical physics and could possibly lead to the unification of field theories. The conversation also mentions a paper on "Towards a Statistical Geometrodynamics" which explores the idea of deriving general relativity from information geometry and probabilistic reasoning.
  • #1
Instine
88
0
proposal: Gravity is an effect of uncertainty gradients.



Probability density currents are recognised phenomina in quantum mechanics/dynamics. A wave-particle's uncertainty is acknowledged as a fundamental property, oscillating through space and time.

The classic experimental evidence for this is passing single photons through a diffraction grating and observing the interference pattern build up beyond the grid. The photon is said to be interfering with its other possible positions. Painting a picture of fluidly dynamic probability fields writhing through space-time.

What if these currents and fields where macro, stella or even cosmic in scale?

And more crucially (and controversially, I'm sure) uncertainty creates an expulsive effect on reality. Perceptively expanding the reality away from the uncertain region, relative to more certain areas, which contain reference mass. Regions near a large mass would be very certain of their relative properties (location, velocity etc) relative to the nearby reference matter, compared to the less certain surroundings, not containing references. The 'bluring' effect of distance on the perceived relative properties (position, velocity etc) could cause an uncertainty gradient.

The observed effect would be an attraction towards reference masses. Proximity would exponentially increase the certainty of the relative property values, as observational information becomes more accurate, due to fundamental resolution effects, and thereby more certain, as is observed with gravitation.

This could possibly result in the unification of field theories if corroborated through experimental observation of probabilistic effects on the relative expansion of space-time.

If observable, the consequesnces are considerable both for applied and theoretical physics.



,
Phil Teare
 
Physics news on Phys.org
  • #2
I am not sure I received your message clearly, but I think the general associations are interesting.

Maybe you are thinking along the lines of information geometry? There are some ideas going on around this, but far more to come I think.

Check this paper, and see if it you can recognize the reasoning.

"Towards a Statistical Geometrodynamics"
--- Ariel, Caticha, http://arxiv.org/PS_cache/gr-qc/pdf/0301/0301061v1.pdf

He wants to derive GR from in terms of information geometry and probabilistic reasoning. There is no success yet but maybe you can check the paper for ideas.

/Fredrik
 
  • #3
Wow, great. Thanks. Just the sort of thing I'm after.

Will read and get back.
 

Related to Unification through probability density gradients

1. What is "Unification through probability density gradients"?

"Unification through probability density gradients" is a scientific concept that seeks to explain the underlying connections between seemingly unrelated phenomena through the use of probability density gradients. It suggests that all systems in the universe can be described and unified by a common set of mathematical principles.

2. How does this concept differ from other theories of unification?

Unlike other theories of unification, "Unification through probability density gradients" focuses on the use of probability density gradients, rather than traditional mathematical equations, to describe and connect different systems. This allows for a more holistic and universal approach to unification.

3. What evidence supports this concept?

There have been several studies and experiments that have shown the effectiveness of using probability density gradients to describe and connect different systems. This includes applications in fields such as physics, biology, and economics, where the concept has been able to successfully unify seemingly disparate phenomena.

4. What are the potential applications of this concept?

The concept of "Unification through probability density gradients" has the potential to have a wide range of applications in various fields, such as artificial intelligence, network theory, and complex systems. It could also provide a new approach to understanding and solving complex problems in areas such as climate change and economic stability.

5. Are there any criticisms or limitations to this concept?

As with any scientific theory, there are some criticisms and limitations to "Unification through probability density gradients." Some argue that it is too abstract and lacks empirical evidence to fully support its claims. Others suggest that it may oversimplify complex systems and ignore important factors. Further research and experimentation are needed to fully understand the potential of this concept.

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