Here we continue with the previous section on time dependent perturbation theory

💼 Case: lets consider an oscillatory perturbation to our system of the form

$$ \hat V(t)=\left \{ \begin{matrix} 0 & \text{for} & t\le 0 \\ \hat V_0 e^{-i\omega t} & \text{for} & t>0 \end{matrix} \right . $$

where $\hat V_0$ is not time dependent. 🧽 Assume: initially the state is $\ket{i}$

⚽ Goal: find the probability of transitioning to a final state $\ket{f}$ so calculating $P_{i\to f}(t)=|c_f^{(1)}(t)|^2$

💎 Conclusion: we have our probability lets now analyse it for different parameters

Fermi’s golden rule

Lets take a closer look at Fermi’s golden rule


💼 Case: lets do it, an oscillating electric field $E_0\vec \epsilon \cos(\omega t)$ where $\vec \epsilon$ is a unit vector field direction


To avoid unphysical results, consider $E_0\equiv E_0(\omega)$, representing the monochromaticity of our field