Applicability of perturbation theory

In summary, the probability of a system in an initial state transitioning to another state can be calculated using time dependent perturbation theory. However, for this method to be valid, the first order probability must be much smaller than 1. This is because if the first order contribution is significant, then the approximation scheme is not justified.
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CAF123
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Consider some system in some initial state ##|k^{(0)}\rangle##. The probability that such a state makes a transition to some other state ##|m^{(0)}\rangle## can be computed to various orders in time dependent perturbation theory.

E.g the total first order probability that the system has made a transition from the initial state is $$P^{(1)}(t) = \sum_{m \neq k} p_{mk}^{(1)}(t)$$

For the perturbation theory to be valid, one requires that ##P^{(1)}(t) \ll 1##. Can someone explain why this is the case? Is it something to do with the fact that we require all the corrections to the transition probability to be small so that when we sum all further contributions, they converge to 1? (Assuming we also include the probability that the state does not transit in time ##t## and then the transition probability will be 1 so that the system is definitely in one state after time ##t##)

Thanks!
 
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If the first order contribution alone is of significant order then the whole approximation scheme is unjustified.
 
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1. What is perturbation theory and how is it used?

Perturbation theory is a mathematical tool used to approximate solutions to complex problems that cannot be solved exactly. It is commonly used in physics, engineering, and other scientific fields to analyze systems that are subject to small changes or disturbances. Perturbation theory allows for the calculation of approximate solutions by breaking down the problem into simpler, solvable parts.

2. What are the limitations of perturbation theory?

While perturbation theory is a useful tool, it has its limitations. It can only be applied to systems that are subject to small changes or disturbances, and it may not accurately predict the behavior of systems with large perturbations. Additionally, perturbation theory assumes that the perturbed system is close to the unperturbed system, which may not always be the case.

3. How does perturbation theory differ from other approximation methods?

Perturbation theory differs from other approximation methods in that it focuses on small changes or disturbances to a system. Other approximation methods, such as numerical techniques, may be better suited for solving systems with larger deviations from the unperturbed system. Perturbation theory also allows for the calculation of higher-order corrections to the approximate solution, which can improve the accuracy of the results.

4. What are the applications of perturbation theory in science?

Perturbation theory has a wide range of applications in science, including in quantum mechanics, statistical mechanics, fluid dynamics, and celestial mechanics. It is also used in fields such as chemistry, biology, and economics to analyze systems that are subject to small changes or disturbances.

5. Can perturbation theory be applied to nonlinear systems?

Yes, perturbation theory can be applied to nonlinear systems, but the calculations become more complex and may require the use of advanced techniques. In some cases, perturbation theory may not be able to accurately predict the behavior of highly nonlinear systems, and other methods may need to be used.

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