You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
I've already derived an expansion for the fluctuation that gives a third-order polynomial:
$$ \Xi_k^2 (\mu) &= \langle \mu | H_k^2| \mu \rangle - \langle \mu | H_k| \mu \rangle^2 \
&\approx \langle \mu | (\Gamma_0 + s\Gamma_1 + \frac{s^2}{2} \Gamma_2 + \frac{s^3}{6} \Gamma_3)^2| \mu \rangle -\langle \mu | \Gamma_0 + s\Gamma_1 + \frac{s^2}{2} \Gamma_2 + \frac{s^3}{6} \Gamma_3| \mu \rangle^2\
&\approx \text{Var}(\Gamma_0) +2s\text{Cov}(\Gamma_0,\Gamma_1)+s^2(\text{Var}\left(\Gamma_1)+\text{Cov}(\Gamma_0,\Gamma_2)\right)+\frac{s^3}{3}\left(\text{Cov}(\Gamma_0,\Gamma_3)+3\text{Cov}(\Gamma_1,\Gamma_2)\right) $$ https://www.overleaf.com/read/fcqswmyqcskf# (see part 4)
Finding the roots of its derivative gives an estimation of the optimal rotation step.
I've got some formulas for applying gradient descent for finding D but they also depend on how we parametrize this operator. This is also applicable for the full DBI and I think it may be good to discuss how the general case should be implemented first
No description provided.
The text was updated successfully, but these errors were encountered: