Quantization over quantization

In summary, the conversation discusses the role of Bohmian mechanics in determining trajectories in quantum mechanics. The equations and methods used to obtain these trajectories are compared and it is pointed out that the mathematical methods used have no relation to the supposed emerging dynamics in time. The concept of a "quantum potential" in Bohmian mechanics is also discussed and its role in the equations of motion for particles. It is noted that Bohmian mechanics can be seen as either a fudge factor or a small change in Newton's equation to obtain the predictions of quantum theory.
  • #1
eljose
492
0
let,s suppose Bohmian mechanics was true then we would have trajectories in the form:

[tex]m\frac{d^{2}x}{dt^2}=-\nabla(V+U_{b}) [/tex] (1) [tex]U_{b}=-\frac{\hbar^2}{2m}\nabla^{2}\psi [/tex] being psi the solution to schroedinguer equation...but the trajectories in (1) comes from the Hamiltonian..
[tex]H=H_0+U_b [/tex] with this we could form the new Schroedinguer equation with function [tex]\psi_{1}(x)[/tex],with new trajectories...proceeding this infinite times we would have that the real trajectories..(after quantizying infinite times) are:

[tex]m\frac{d^{2}x}{dt^2}=-\nabla(V+U_{total}) [/tex]

with U total [tex]U_{total}=-\frac{\hbar^2}{2m}\nabla(\sum_{n=0}^{\infty}\psi_{n}(x)) [/tex]
 
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  • #2
eljose said:
let,s suppose Bohmian mechanics was true then we would have trajectories in the form:

[tex]m\frac{d^{2}x}{dt^2}=-\nabla(V+U_{b}) [/tex] (1) [tex]U_{b}=-\frac{\hbar^2}{2m}\nabla^{2}\psi [/tex] being psi the solution to schroedinguer equation...but the trajectories in (1) comes from the Hamiltonian..
[tex]H=H_0+U_b [/tex] with this we could form the new Schroedinguer equation with function [tex]\psi_{1}(x)[/tex],with new trajectories...proceeding this infinite times we would have that the real trajectories..(after quantizying infinite times) are:

[tex]m\frac{d^{2}x}{dt^2}=-\nabla(V+U_{total}) [/tex]

with U total [tex]U_{total}=-\frac{\hbar^2}{2m}\nabla(\sum_{n=0}^{\infty}\psi_{n}(x)) [/tex]


Your approach makes me think of an error a PhD student made (when I was still a lowly undergrad) in applied optics - he was one of my TA, and I couldn't make him see the error. The point is the following:
The mathematical method to obtain a solution of a set of stationary equations (like by doing iterations) HAS NOTHING TO DO WITH ANY SUPPOSED EMERGING DYNAMICS IN TIME :-)
What he did was in fact solving a set of coupled equations:
1) the light propagation through some optical setup
2) that light density affected of course 2 things: 1) population densities of electrons and holes and so on and 2) it heated his apparatus which also changed the optics

He solved his system by iteration: take initial values for populations and temperature, calculate the optical properties, calculate the optics and the light densities, and recalculate from that the adjustments for populations and temperature. And he found a lot of funny (even chaotic) "dynamics" that way, which he mapped through a fudge factor on a real time axis.
Only, for 2) he only used STEADY STATE equations without explicit time derivatives, so my question to him was: how can you hope to get out any DYNAMICAL PICTURE from your static equations ?
And he just replied that it came out of his computer :bugeye:

BTW, to be more to the point: the "quantum potential" in Bohmian mechanics only appears in the equation of motion for the particles and NOT in the potential in the Schroedinger equation, so the iteration doesn't even take place. If you don't like Bohmian mechanics, you can say that it is the fudge term added in Newton's equation to make it come out the same as quantum theory after you already got out the right answer from quantum theory. If you like Bohmian mechanics, you can say that with just a small change in Newton's equation, you succeeded in obtaining all predictions of quantum theory (well, almost :smile:).

cheers,
Patrick.
 
  • #3


I would approach this content with caution and skepticism. While Bohmian mechanics is a valid interpretation of quantum mechanics, it is not the only one and has its own limitations and criticisms. Additionally, the concept of "quantizing infinite times" is not well-defined and raises questions about the validity and applicability of the resulting equations.

Furthermore, the idea of infinite quantization leading to the "true" trajectories is not supported by experimental evidence and goes against the principles of Occam's razor, which states that the simplest explanation is usually the most accurate.

In order to fully understand and test the validity of this concept, more research and evidence would be needed. It is important to approach scientific theories with an open mind, but also to critically evaluate and test them before accepting them as truth.
 

What is quantization over quantization?

Quantization over quantization refers to the process of dividing a continuous variable or signal into discrete values or levels. This is often done in digital signal processing to represent analog signals in a digital form.

Why is quantization over quantization important?

Quantization over quantization is important because it allows us to represent and manipulate analog signals in a digital environment. This is necessary for many digital technologies and applications, such as audio and video processing, data compression, and digital communication systems.

What is the difference between quantization and quantization over quantization?

The main difference between quantization and quantization over quantization is that quantization involves dividing a continuous variable into discrete values, while quantization over quantization involves dividing a signal into discrete values over multiple levels. In other words, quantization over quantization is a more complex process that involves quantization of multiple variables or signals.

What are the challenges of quantization over quantization?

One of the main challenges of quantization over quantization is finding the right balance between preserving the fidelity of the original signal and reducing the amount of data needed to represent it. This can be particularly difficult when dealing with complex signals, such as audio or video, as quantization can introduce distortion and affect the quality of the signal.

How is quantization over quantization used in practical applications?

Quantization over quantization is used in a variety of practical applications, such as digital audio and video processing, data compression, and digital communication systems. It is also used in scientific research, particularly in fields such as neuroscience and signal analysis.

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