Seeking advice about solving an ODE

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Discussion Overview

The discussion revolves around solving the time-dependent Schrödinger equation for a 2x2 system, specifically focusing on the ordinary differential equation (ODE) derived from it. Participants explore both analytical and numerical approaches to solve the ODE, considering initial conditions and the influence of parameters.

Discussion Character

  • Exploratory
  • Technical explanation
  • Mathematical reasoning

Main Points Raised

  • One participant presents the ODE $$y''=-iA\sin{(\omega t)}y'-B^2y$$ and expresses interest in finding an analytical solution while noting the significance of the parameter relationship ##B<
  • Another participant suggests transforming the variables and proposes an asymptotic expansion for the solution, indicating that the ODE can be expressed in terms of a series expansion dependent on a small parameter ##\epsilon##.
  • A different approach is proposed by omitting the ##-B^2 y## term, leading to a simplified ODE that can be solved analytically, with a suggestion to compare this solution with numerical results.
  • Another participant discusses the possibility of obtaining a power series solution by reformulating the system as a matrix equation, providing a method to compute coefficients iteratively.

Areas of Agreement / Disagreement

Participants present various methods to approach the problem, with no consensus on a single solution method. Multiple competing views on how to handle the ODE remain, and the discussion is unresolved regarding the best approach to take.

Contextual Notes

Participants note that the validity of the asymptotic expansion depends on certain conditions related to the small parameter ##\epsilon##, and the simplification of the ODE by omitting terms may affect the accuracy of the solution.

BillKet
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Hello! I am trying to solve the time dependent Schrödinger equation for a 2x2 system and I ended up with this ODE:

$$y''=-iA\sin{(\omega t)}y'-B^2y$$

with the initial conditions ##y(t=0)=0## and ##y'(t=0)=B##. I can look at it numerically but I was wondering if there is a way to get something analytical out of it. In my case I have ##B<<A,\omega## (not sure if that helps), but I am interested in the way ##y## depends on B, so I can't just drop that term either. Any advice would be greatly appreciated. Thank you!
 
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First set \tau = \omega t so that <br /> \frac{d^2 y}{d\tau^2} + i\alpha\sin(\tau) \frac{dy}{d\tau} + \epsilon^2 y = 0 subject to y(0) = 0, y&#039;(0) = \epsilon where \alpha = A/\omega and \epsilon = B/\omega \ll 1.

Pose an asymptotic expansion <br /> y(t) \sim \sum_{k=0}^\infty \epsilon^ky_k(t) in the limit \epsilon \to 0. Then the ODE becomes <br /> (y&#039;&#039;_0 + i\alpha\sin(\tau) y&#039;_0) + \epsilon(y&#039;&#039;_1 + i\alpha\sin(\tau) y&#039;_1) \\<br /> + \sum_{k=2}^\infty \epsilon^k \left(y&#039;&#039;_k + i\alpha\sin(\tau)y&#039;_k + y_{k-2}\right) = 0 so that considering coefficients of \epsilon^k we have <br /> \begin{split}<br /> y&#039;&#039;_0 + i\alpha \sin(\tau) y_0&#039; &amp;= 0 \\<br /> y&#039;&#039;_1 + i\alpha \sin(\tau) y_1&#039; &amp;= 0 \\<br /> y&#039;&#039;_k + i\alpha \sin(\tau) y_k&#039; &amp;= -y_{k-2} \end{split} subject to the initial conditions
\begin{gather*}y_k(0) = y&#039;_k(0) = 0, \quad k \neq 1 \\<br /> y_1(0) = 0, \quad y_1&#039;(0) = 1.\end{gather*} The equation for y_k can be solved by an integrating factor once y_0, \dots, y_{k-1} are known. ("Solved" in the sense that the solution can be written in terms of integrals, but the integrals may or may be expressible in terms of elementary functions.) It seems that y_{2k} \equiv 0 so only the odd terms contribute.
Note that this expansion is only valid so long as <br /> \left| \frac{y_{2k+3}}{y_{2k+1}} \right| &lt; \frac 1{\epsilon^2}.
 
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If we omit ##-B^2 y## in RHS, we can solve the simplified ODE,
y=B\int_0^t du \ e^{\frac{iA}{\omega}\cos \omega u}
We may be able to expect that in a short time the solution of the original ODE does not so much different from it. I would appreciate it If you could check the difference with your numerical solution.
 
It i spossible to obtain a power series solution. The system is of the form <br /> \dot x = M(t)x for x \in \mathbb{R}^2 where x = (y, \dot y)^T and <br /> M = \begin{pmatrix} 0 &amp; 1 \\ -B^2 &amp; -iA\sin \omega t \end{pmatrix}. Then setting \begin{split}<br /> x(t) &amp;= \sum_{n=0}^\infty a_nt^n \\<br /> M(t) &amp;= \sum_{n=0}^\infty M_nt^n \end{split} we have <br /> \sum_{n=0}^\infty (n+1)a_{n+1}t^n = \sum_{n=0}^\infty t^n \left[ <br /> \sum_{m=0}^n M_{n-m}a_m<br /> \right] whence <br /> a_{n+1} = \frac{1}{n+1} \sum_{m=0}^n M_{n-m} a_m, \qquad n \geq 0<br /> with a_0 = (0, B)^T.
 

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