Regarding an approximation of p as 1 over r

I am wondering why that is the case. In summary, the question asks why we can always approximate the momentum as 1 over r in quantum physics, as it is done in the given homework problem. This approximation is commonly used in quantum physics and is related to the uncertainty principle, which sets an upper limit on the precision of measurements. The reason for this approximation is not fully understood and is still being studied.
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Homework Statement



estimate the ground energy of a bound qqbar system , the total hamiltonian can be written as ,
H(r)=2m-a/r+br+p^2/m,where a=0.5, b=0.18Gev^2, m being the mass of quark or antiquark the book kinds of gives Hint " p may be approximated as 1 over r" ,natural unit is assumed ,(c=hbar=1)

Homework Equations


In particular , my question ," why we could always argue that p may be approximated as 1 over r" the uncertainty principle can be essentially delivered by an inequalitiy deltax*deltap>=1/2, where deltax is understood as x-<x>, it imposes , according to the widely accepted understanding of quantum physics, an upper limit to the degree of precision we may
reach in measurement . nevertheless , in "this "homework " , why we'd just approximate p as 1 over r , as we do all the time , like we argue that an electron may never fall into nucleus.
we seem to always approximate momentum as inverse r , and that is why?
sorry for the sloppy language ,and it's technically a homework problem , I wanted to post it in other sections ,though.

The Attempt at a Solution


 
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I am trying to solve this problem , but I just find it odd that we can always approximate the momentum as inverse r
 

FAQ: Regarding an approximation of p as 1 over r

What does "approximation of p as 1 over r" mean?

Approximation of p as 1 over r refers to a mathematical concept where the value of p, which represents the probability of an event, is approximated or estimated by dividing 1 by the value of r, which represents the number of possible outcomes. This is often used in probability calculations where the exact value of p is unknown or difficult to determine.

How is "approximation of p as 1 over r" used in scientific research?

"Approximation of p as 1 over r" is commonly used in scientific research to estimate probabilities of certain events when the exact value of p is unknown. This approximation can help researchers make predictions and draw conclusions about their experiments or observations.

What are the limitations of using "approximation of p as 1 over r"?

One limitation of using "approximation of p as 1 over r" is that it assumes a uniform distribution of outcomes, which may not always be the case in real-world scenarios. It also does not take into account any potential biases or confounding factors that may affect the probability of the event.

Can "approximation of p as 1 over r" be applied to all types of events?

No, "approximation of p as 1 over r" is not suitable for all types of events. It is most commonly used for events with a finite number of possible outcomes, such as coin tosses or dice rolls. It may not be accurate for continuous events or events with a large number of possible outcomes.

How can the accuracy of "approximation of p as 1 over r" be improved?

The accuracy of "approximation of p as 1 over r" can be improved by increasing the sample size or by using more precise methods of calculating probabilities, such as using statistical models. It is also important to consider any potential biases or external factors that may affect the probability of the event.

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