Divergence of the Kalman filter
Kalman filter: historically, it was introduced for simple linear models which were slightly damped
Integration of forecast error covariances as t ® ¥:
Analysis error variance is always less than that of B
Gain matrix K ® 0 as well
Divergence of the Kalman filter: observations are no longer able to correct the forecast