Why can't we draw conclusions about the system itself from the properties within a system?
Hello everyone:
"According to modern physics, time, space, and matter came into being simultaneously. Times before this event and places outside the universe are physically indefinable. Therefore, in physics, there is neither a spatial outside nor a temporal "before," nor a cause of the universe. What we perceive as space and time is in reality the result of quantum processes at the microscopic level that are beyond our comprehension. Just as a character in a computer game could not explain how a computer runs the game works, physics cannot explain what exists outside the universe or what existed before it. One cannot infer the system itself from the properties within a system."
I've heard something like this before. But why is this true? Could one understand one's own system through intelligence (which we lack), or is that physically impossible, a contradiction in terms?
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Here's a parable:
Let's say you wake up one day in an elevator. You don't know how you got there. And the doors can't be opened. There's nothing that can penetrate you from outside.
Now you're unhealthy in this room.
What can you say about the elevator outside the system?
Nothing. Since you are unhealthy, you can derive that you are in space.
But: we can only do that. Because we know the universe. If you don't even know what the world is. And what, for example, is a circulating path around the planet. Then it'll be difficult.
And even this assessment is not correct yet. You can only close out that you are in the open. Whether this is somewhere between the stars. On a runway. Or whether in 10 seconds the impact comes to the ground because we fall on the earth. Can't be said.
From the example, one can conclude: if one wants to say something about the relationship from the system to a system outside. It is necessary to have the system out. It is only in this way that one can derive from the weightlessness that one is in the free fall.
But if you are part of the system. And the system to the external system (if available) is completed. Then you can't learn anything about the system.
Only if the system is outside and the system interacts with each other. You can learn something about the system. The question is, however, whether these effects do not belong to the system itself.
See again the example: we know that the person on the board is part of the university. If an ignorant one could see out in the chair. (The systems therefore interact with each other.) Then he would experience that his system is part of a larger system. And consider this larger system and its in turn as a whole system.
That's exactly what we did. We used to be unable to get off the earth. We saw something on the sky. But had no way to understand. (But not the medium) At some point we became clear that we live on a planet in a large university.
However, we do not consider the university as another system. We see ourselves as part of the universe system.
Consequently, one can follow:
If there is a separate system in which we are located. Then we won't be able to find out about it. If this system interacts with us. And we interact with him. Then our system becomes bigger.
The computer is another example: We outside the game know how the game works. We see the game itself as part of our system. Because the different electrical impulses are just blossoming, which are flowing and on a screen. As well as a membrane to vibrate. (picture and sound)
only the universe is accessible to physical modeling.
If I was kidnapped and found myself in a trunk and don't hear anything, I can find out a lot about the car, but nothing about where it stands or how it came here.
I find the example extremely plastic.
In order to be able to identify the boundaries within a system or to be able to identify boundaries at all, one must be able to see what divides the border. A border can only be perceived as a border if you can look beyond the border. Therefore, a color blinder cannot imagine any colors and without being able to recognize the other, everything would be me.
You'll think you'll see everything until you meet someone who sees more.
In general, it is difficult for several reasons to close the overall system itself solely for the properties observed in the system:
Incomplete information : The properties observed in a system give only a limited insight into the characteristics of the system. There may be aspects of the system which are not directly observable or which are not taken away from our measurements. Without a comprehensive understanding of all the characteristics and components of the system, it becomes difficult to close the system as a whole.
Emergent properties : Systems often have emergent properties, ie characteristics or behaviors resulting from the interactions and relationships between the components of the system. These emergent properties may not be obvious or unforeseeable if one considers only the properties of the individual components. In order to be able to close the system itself, it is necessary to understand these emerging features, which may require additional information or analysis.
Context and external influences : Systems are not isolated units and can be influenced by external factors or function in a larger context. These external influences can influence the behavior and characteristics of the system, so it is difficult to close the system solely due to internal observations. Understanding the external factors and their impact on the system is crucial for a comprehensive understanding of the system itself.
Complexity and nonlinearity: Many real systems are complex and have nonlinear relationships and interactions. Such systems often show behaviors which cannot easily be derived from or predicted from their properties. In complex systems, small changes in properties or initial conditions can lead to considerable deviations in the behavior of the system, so that it is difficult to close the system as a whole from the observed properties alone.
While the properties of a system can provide valuable insights and information about its characteristics, a combination of different approaches is usually required for the consideration of the overall system itself, including external knowledge, modeling, simulations and experiments. For a holistic understanding of the system, several sources of information often have to be integrated to take into account the complexity, the resulting characteristics and the external influences that determine the behavior of the system.