| 1. | The transition probability can be written as the product of them:
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| 2. | The probabilities associated with various state changes are called transition probabilities.
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| 3. | The transition probabilities are trained on databases of authentic classes of compounds.
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| 4. | Figure 3 illustrates the superposition of transition probabilities of several lattice modes.
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| 5. | The theorem states that a reversible if and only if its transition probabilities satisfy
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| 6. | So the ratio of the transition probabilities of going from one state to another is
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| 7. | Thus, the N \ times N matrix of transition probabilities is a Markov matrix.
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| 8. | EIT is based on the destructive interference of the transition probability amplitude between atomic states.
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| 9. | Remarkably, in the formula above there is no Markov assumption of independent transition probabilities.
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| 10. | The Wiener-Hopf factorization gives the transition probability kernel in the discrete time case.
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