| 1. | The initial state and transition matrix can be reduced to,
|
| 2. | Krylov basis construction uses the actual transition matrix instead of random walk Laplacian.
|
| 3. | The cyclic model of succession can be displayed in terms of a transition matrix.
|
| 4. | An eigenvector of the transition matrix with eigenvalue 1 corresponds to a steady state.
|
| 5. | This gives us the updated transition matrix:
|
| 6. | The transition matrix is characterized entirely by its upper-left block { T }.
|
| 7. | The human brain has neither a discrete set of states nor a simple transition matrix.
|
| 8. | The embedded Markov chain has transition matrix
|
| 9. | V channels are governed by a transition matrix whose rates are voltage-dependent in a complicated way.
|
| 10. | The state-transition matrix must be determined before analysis on the time-varying solution can continue.
|
