Nonlinear equation and state superposition

In summary, there is a non-linear equation for a scalar field that is being studied in quantum mechanics. To obtain a state superposition, a probability density over the function space is being used. The time evolution of this probability density may be challenging to describe, but one potential approach could be using the Hamiltonian formalism. It may also be helpful to consult with other experts or research existing methods for handling this problem.
  • #1
kroni
80
10
Hi,

In quantum physics, solution of Shrodinger equation live in a Hilbert space which is a vector space. The state superposition is obtained by mixing solution of the équation which is LINEAR so a linear combination of solution is a solution.

Now i have a non-linear equation of a scalar field named Q. So a linear combination of solution of Q is not a solution. To obtain a state superposition, i define a probability density P over the space of all scalar field which is a functionnal space. Is it a good way ? did you know similar approach ?

Because, now at the oposite of Shrodinger equation, the time evolution is a modification of density P over time. I have strong difficulties to write the equation which control P over time because it need to derivate a scalar field defined over a function space.

Thanks for your answer.
 
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  • #2


Hi,

Thank you for your question. It is interesting that you have a non-linear equation for a scalar field and are trying to find a way to obtain a state superposition. In quantum mechanics, the Schrödinger equation is indeed linear, but there are also non-linear equations used in other areas of physics, such as in fluid dynamics.

In terms of your approach, using a probability density over the function space may be a good way to handle the non-linearity of the equation. This is similar to how the wave function in quantum mechanics represents the probability of finding a particle in a certain state.

As for the time evolution, it is indeed a challenge to write an equation that can control the probability density over time. One possible approach could be to use the Hamiltonian formalism, where the time evolution is described by the Hamiltonian operator acting on the probability density. This is similar to how the Schrödinger equation describes the time evolution of the wave function.

I am not familiar with a similar approach being used in quantum mechanics, but there may be some research on this topic that you could look into. I suggest consulting with other physicists or conducting further research to see if there are any existing methods that could be applied to your problem.

I hope this helps and good luck with your research!
 

Related to Nonlinear equation and state superposition

1. What is a nonlinear equation?

A nonlinear equation is an equation in which the variables are not all raised to the first power. This means that the relationship between the variables is not a straight line and cannot be represented by a linear function.

2. How is a nonlinear equation different from a linear equation?

A linear equation has a constant rate of change, meaning that the relationship between the variables is always a straight line. Nonlinear equations have varying rates of change, making the relationship between the variables more complex.

3. What is state superposition in relation to nonlinear equations?

State superposition is a principle in physics that states that when two or more states of a system are combined, the resulting state is a combination of the individual states. In the context of nonlinear equations, this means that the solution to a nonlinear equation can be found by combining multiple simpler equations or states.

4. What are some real-world applications of nonlinear equations?

Nonlinear equations are used to model and understand complex systems in various fields such as physics, engineering, economics, and biology. They can be used to describe phenomena such as population growth, fluid dynamics, and chemical reactions.

5. How are nonlinear equations solved?

Unlike linear equations, there is no general method for solving nonlinear equations. The approach for solving them depends on the specific equation and may involve techniques such as iteration, substitution, or graphing. In some cases, nonlinear equations can only be solved numerically using computer algorithms.

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