... | @@ -5,14 +5,14 @@ f(y,t) \equiv \dfrac{1}{i}(\hat{H}(\{\varphi_n\},t)-\langle H\rangle_n)\varphi_n |
... | @@ -5,14 +5,14 @@ f(y,t) \equiv \dfrac{1}{i}(\hat{H}(\{\varphi_n\},t)-\langle H\rangle_n)\varphi_n |
|
for four time steps back: $`f_{k-1}`$, $`f_{k-2}`$, $`f_{k-3}`$, $`f_{k-4}`$.
|
|
for four time steps back: $`f_{k-1}`$, $`f_{k-2}`$, $`f_{k-3}`$, $`f_{k-4}`$.
|
|
|
|
|
|
# Starting from a stationary state
|
|
# Starting from a stationary state
|
|
In the case of a stationary state, $`\varphi_n`$ are eigenstates of the hamiltonian, and the instantaneous quasi-particle energies are equal to quasiparticle energies $`E_n=\textrm{const}`$. Then, as long as the hamiltonian does not depend we obtain:
|
|
In the case of a stationary state, $`\varphi_n`$ are eigenstates of the hamiltonian, and the instantaneous quasi-particle energies are equal to quasiparticle energies $`E_n=\textrm{const}`$. Then, as long as the hamiltonian does not depend on the time we obtain:
|
|
```math
|
|
```math
|
|
f_{k-1}=f_{k-2}=f_{k-3}=f_{k-4}=0
|
|
f_{k-1}=f_{k-2}=f_{k-3}=f_{k-4}=0
|
|
```
|
|
```
|
|
|
|
|
|
To use this prescription for initialization of ABM algorithm you need to select in the input file:
|
|
To use this prescription for initialization of ABM algorithm, you need to select in the input file:
|
|
```bash
|
|
```bash
|
|
selfstart 0 # use Taylor expansion for first 5 steps?
|
|
selfstart 0 # use Taylor expansion for the first 5 steps?
|
|
```
|
|
```
|
|
|
|
|
|
|
|
|
... | @@ -21,9 +21,9 @@ In this case, we need to generate the first five steps using single step method. |
... | @@ -21,9 +21,9 @@ In this case, we need to generate the first five steps using single step method. |
|
```math
|
|
```math
|
|
\varphi_n(\bm{r},t+\Delta t) = e^{-i(\hat{H}(\{\varphi_n\},t)-\langle H\rangle_n)\Delta t}\varphi_n(\bm{r},t)\approx \sum_{k=0}^{4}\frac{(-i\Delta t)^k}{k!}(\hat{H}(\{\varphi_n\},t)-\langle H\rangle_n)^k\varphi_n(\bm{r},t)
|
|
\varphi_n(\bm{r},t+\Delta t) = e^{-i(\hat{H}(\{\varphi_n\},t)-\langle H\rangle_n)\Delta t}\varphi_n(\bm{r},t)\approx \sum_{k=0}^{4}\frac{(-i\Delta t)^k}{k!}(\hat{H}(\{\varphi_n\},t)-\langle H\rangle_n)^k\varphi_n(\bm{r},t)
|
|
```
|
|
```
|
|
where we expanded the evolution operator into Taylor series up to the same order as the precision of the ABM algorithm.
|
|
where we expanded the evolution operator into the Taylor series up to the same order as the precision of the ABM algorithm.
|
|
|
|
|
|
In order to use the Taylor expansion method for the generation of the first five steps you need to select in the input file:
|
|
To use the Taylor expansion method for the generation of the first five steps, you need to select in the input file:
|
|
```bash
|
|
```bash
|
|
selfstart 1 # use Taylor expansion for first 5 steps?
|
|
selfstart 1 # use Taylor expansion for first 5 steps?
|
|
``` |
|
``` |
|
|
|
\ No newline at end of file |