A question about perturbation series inversion

In summary, the conversation discusses the possibility of inverting a series expansion for a physical quantity, m, in terms of a 'bare' value, m0, and other finite quantities and a regulator, u=log(\Lambda). It is suggested that this can be achieved by solving a formal equation involving the series and comparing coefficients.
  • #1
zetafunction
391
0
let be m a measures (by expermients) physical quantity and m0 a 'bare' value of these physical quantity , let us suppose that we can expand

[tex] m= m_{0}+f(k,m_{0})+ \sum_{n} u^{n}c_{n} [/tex]

for some finite quantities c_n and [tex] u=log(\Lambda) [/tex] with lambda a regulator

can we then invert the series above to express

[tex] log(\Lambda)= g( f(k,m_{0}) , m , m_{0}) [/tex]

how about if instead of logarithms of regulator there are also powers of regulator i mean quantities proportional to [tex] \Lambda ^{k} [/tex]
 
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  • #2
zetafunction said:
let us suppose that we can expand

[tex] m= m_{0}+f(k,m_{0})+ \sum_{n} u^{n}c_{n} [/tex]

for some finite quantities c_n and [tex] u=log(\Lambda) [/tex] with lambda a regulator

can we then invert the series above to express

[tex] log(\Lambda)= g( f(k,m_{0}) , m , m_{0}) [/tex]

One can formally solve every equation [tex]\sum_{n=1}^\infty c_nu^n=x [/tex]
with nonzero c_1 to an equation [tex]\sum_{n=1}^\infty d_nx^n=u [/tex]; simply substitute one into the other and compare coefficients to get recurrence relations.
 

Related to A question about perturbation series inversion

1. What is a perturbation series inversion?

A perturbation series inversion is a method used in mathematical and scientific fields to approximate solutions to complex equations. It involves breaking down a complicated equation into a series of simpler equations and solving them iteratively, making small adjustments or "perturbations" to the initial conditions until a satisfactory solution is reached.

2. When is perturbation series inversion used?

Perturbation series inversion is commonly used in fields such as physics, chemistry, and engineering to solve problems that involve small variations or disturbances to a known system. It is particularly useful when an exact solution to the problem is difficult or impossible to obtain.

3. What are the limitations of perturbation series inversion?

Perturbation series inversion relies on the assumption that the perturbations made to the initial conditions are small and do not significantly alter the overall behavior of the system. If this assumption is not valid, the solution obtained through perturbation series inversion may be inaccurate or even divergent.

4. How does perturbation series inversion compare to other numerical methods?

Compared to other numerical methods, perturbation series inversion is often more efficient and accurate for problems that involve small perturbations. However, it may not be suitable for problems with large variations or nonlinear behavior.

5. Are there any real-world applications of perturbation series inversion?

Yes, perturbation series inversion has been used in various real-world applications, such as calculating the trajectory of a satellite in orbit, predicting the behavior of chemical reactions, and analyzing the stability of structures under different loading conditions.

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