A biologist doing an experiment has a bacteria population cultured in a petri dish. After measuring, she finds that there are 81.1 million bacteria infected with the zeta-virus and 47 million infection-free bacteria. Her theory predicts that 80% of infected bacteria will remain infected over the next hour, while the

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Chapter2: Second-order Linear Odes
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O a)
42.7 million
b)
0. million
c)
105 million
d)
23.3 million
Transcribed Image Text:O a) 42.7 million b) 0. million c) 105 million d) 23.3 million
A biologist doing an experiment has a bacteria population
cultured in a petri dish. After measuring, she finds that there
are
81.1 million bacteria infected with the zeta-virus and 47
million
infection-free bacteria. Her theory predicts that 80% of
infected bacteria will remain infected over the next hour,
while the
remaining of the infected manage to fight off the virus in
that hour.
Similarly, she predicts that 10% of the healthy bacteria will
remain healthy over the hour while the remaining of the
healthy will
succumb to the affliction. Modeling this as a Markov chain,
use her theory to predict the population of non-infected
bacteria after a week (i.e. steady state).
0.8 0.9
[Hint: The transition matrix, P=
0.2 0.1
has eigenvalue/eigenvector pairs:
0.9
{2=-0.1, v=
} and (2=1, v=
0.2
[Answers are rounded to 3 significant figures.]
Transcribed Image Text:A biologist doing an experiment has a bacteria population cultured in a petri dish. After measuring, she finds that there are 81.1 million bacteria infected with the zeta-virus and 47 million infection-free bacteria. Her theory predicts that 80% of infected bacteria will remain infected over the next hour, while the remaining of the infected manage to fight off the virus in that hour. Similarly, she predicts that 10% of the healthy bacteria will remain healthy over the hour while the remaining of the healthy will succumb to the affliction. Modeling this as a Markov chain, use her theory to predict the population of non-infected bacteria after a week (i.e. steady state). 0.8 0.9 [Hint: The transition matrix, P= 0.2 0.1 has eigenvalue/eigenvector pairs: 0.9 {2=-0.1, v= } and (2=1, v= 0.2 [Answers are rounded to 3 significant figures.]
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