Information Flow Decomposition in Feedback Systems: Linear   Time-Invariant Systems with Gaussian Channels
  In our companion paper [1], an information identity decomposition has been derived, which can be interpreted as a law of conservation of information flows in feedback systems. In this paper, we further investigate this decomposition result when specified to linear time-invariant(LTI) systems connected with additive white Gaussian noise(AWGN) channels. It is shown that the quantities in the decomposition are characterized in sensitivity function and the law of conservation is verified. 
Bertrand Wechsler and Dan Eilat and Nicolas Limal
cs.SY