Seeking advice about solving an ODE

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The discussion focuses on solving the time-dependent Schrödinger equation represented by the ordinary differential equation (ODE) $$y''=-iA\sin{(\omega t)}y'-B^2y$$ with initial conditions ##y(0)=0## and ##y'(0)=B##. The user seeks an analytical solution, particularly interested in the dependence of ##y## on the parameter ##B##, which is significantly smaller than ##A## and ##\omega##. The proposed method involves an asymptotic expansion of the solution in terms of a small parameter ##\epsilon = B/\omega##, leading to a series of equations that can be solved iteratively. The discussion also touches on the simplification of the ODE by omitting the ##-B^2 y## term to derive an approximate solution.

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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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