Can a microprocessor simulate physical processes using machine language?

In summary, machine language can be used to simulate physical processes such as differential equations, integrals, and recursive formulas. It is also possible to simulate capacitive and inductive feedback using machine code. However, there are numerical methods available to solve any differential equation, so the limitations are minimal.
  • #1
juan avellaneda
37
0
what kind of physical proceses can be simulated with a microprocessor using machine language
is possible to simulate a differential equation?, or integral?, or just can be used with processes that involve integer or rational numbers
i think also to use in recursive formulas, but i could not find any example of a process that uses this formulas
any sugestion??
thks
 
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  • #2
This all depends on your ability to generate machine language code. Numerical methods exist to solve any differential equation you can come up with. You must remember that all computers run ONLY machine language code. The list of problems which cannot be numerically simulated is much shorter that then those that can be.

Do you have any specific questions?
 
  • #3
I realize that you're asking about machine language, but what about capacitive and inductive feedback? Is that an option for you. Integration can be accomplished with an opamp using capacitive feedback and differentiation can be accomplished with an opamp using inductive feedback. If it must be machine code, then I would suspect that there is probably a way to model or simulate these simple circuit configurations using machine code which has been well developed.
 
  • #4
Turin

Thank heaven you can do differentiation without inductors, otherwise many filters would be impractical.
 
  • #5
A feedback loop with actual physical inductors is generally different than a feedback loop with an inductive characteristic. The nature of the feedback can be inductive while using only capacitors and resistors in the feedback loop (electronically, of course, not physically). This is similar to the difference between a simple low pass filter using an inductor and a simple lowpass filter using a capacitor.
 

1. What is a linear system in physics?

A linear system in physics refers to a physical system that follows the principles of linearity, meaning that the output of the system is directly proportional to the input. This means that if the input is doubled, the output will also double. Linear systems are described using mathematical equations and are used to model and understand various physical phenomena.

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Linear systems are used in physics to model and understand a wide range of phenomena, including mechanical, electrical, and thermal systems. They are also used to analyze data and make predictions about the behavior of physical systems. In addition, linear systems are essential in the study of vibrations, waves, and other oscillatory phenomena.

3. What are the key properties of a linear system?

The key properties of a linear system include additivity, homogeneity, and superposition. Additivity means that the output of the system is the sum of the outputs from each individual input. Homogeneity means that the output is directly proportional to the input. Superposition means that the output of the system for multiple inputs is equal to the sum of the outputs for each individual input.

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