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Example sentences for: ν

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Thus, we can write w ( d ) = exp(-α d ) with α = 1 - ν/( L κ- L ). The condition that the fraction of neutral mutants ν/( L κ- L ) is much larger than the total fraction of viable mutants among all possible sequences is crucial for the exponential decay of w ( d ). Consider by contrast the Russian Roulette model by Gavrilets and Gravner [ 40 ] , in which all sequences are randomly assigned a fitness value of either 0 or 1. The total fraction p of viable sequences in this model is equal to the expected fraction of neutral mutants of any sequence with fitness 1, and w ( d ) ≈ p for d > 0 in this model.
If the number of neutral neighbors (the neutrality, ν) of all viable sequences is approximately the same, and the fraction of neutral mutations of a viable sequence is on average much larger than the probability that a completely random sequence is viable, then w ( d + 1) can be approximated by [ν/( L κ- L )] w ( d ), where L is sequence length and κ denotes the number of different bases that can occur (κ = 4 for RNA).
If ν changes systematically with increasing d , then w ( d ) will decay slightly faster or slower than a perfect exponential.
In the general case, ν is not constant.