where P =n+p+h is the total population, and a and b are some real numbers (which you do not need to bother calculating.) (e) Use the result of part (d) to show that, no matter what the initial state of the population, the proportion of people in the population who are negative, positive, and hospitalised will, over time, stabilise to fixed percentages of the population. What are these percentages?
where P =n+p+h is the total population, and a and b are some real numbers (which you do not need to bother calculating.) (e) Use the result of part (d) to show that, no matter what the initial state of the population, the proportion of people in the population who are negative, positive, and hospitalised will, over time, stabilise to fixed percentages of the population. What are these percentages?
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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Question
Please just answer d) and e)
The last time I posted it and due to the rules only a),b),c) were answered.
Much apprciated!
![In this question, the real numbers in your answers should be given with three significant digits of accuracy after the
decimal point.
The public health authorities of a small town have divided the population into three categories: covid-negative,
covid-positive, and hospitalised. After performing regular, extensive tests, they have observed that in each successive
week:
• Among those who are negative, 95% remain so, 4% become positive, and 1% need to be hospitalised.
• Among those who are positive, 75% recover and become negative, 20% stay positive, and 5% need to be
hospitalised.
• Among those who are hospitalised, 60% recover and become negative, 30% are released from hospital but
remain positive, and 10% remain hospitalised.
(a) After representing the population in a given week as a column vector v = [n; p; h], where n, p, and h represent
the number of people in the population who are negative, positive, and hospitalised respectively, write down a
matrix M for which [n', p',h'] = M[n; p; h], where [n',p', h'] represents the column vector of negative, positive,
and hospitalised members of the population in the following week.
(b) Show that M is diagonalisable over R and write down its three eigenvalues, ordered in such a way that
d1 > A2 > A3. (You may use the computer to do this calculation if you prefer, e.g., by using the mateigen command
in Pari-GP.)
(C) Write down eigenvectors V1, V2, V3 attached to A1, A, and A3 respectively.
(d) Show that v1 can be normalised so the the sum of its coordinates is equal to 1, and, with this normalisation,
show that, for any triple v = [n; p; h],
= Pv1 + av2 + bv3](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F903bcea2-e845-4b45-99af-655f247cb22b%2Fc24c0d57-d79c-49b0-96a7-ef4a690e55b0%2Fzbeawq_processed.jpeg&w=3840&q=75)
Transcribed Image Text:In this question, the real numbers in your answers should be given with three significant digits of accuracy after the
decimal point.
The public health authorities of a small town have divided the population into three categories: covid-negative,
covid-positive, and hospitalised. After performing regular, extensive tests, they have observed that in each successive
week:
• Among those who are negative, 95% remain so, 4% become positive, and 1% need to be hospitalised.
• Among those who are positive, 75% recover and become negative, 20% stay positive, and 5% need to be
hospitalised.
• Among those who are hospitalised, 60% recover and become negative, 30% are released from hospital but
remain positive, and 10% remain hospitalised.
(a) After representing the population in a given week as a column vector v = [n; p; h], where n, p, and h represent
the number of people in the population who are negative, positive, and hospitalised respectively, write down a
matrix M for which [n', p',h'] = M[n; p; h], where [n',p', h'] represents the column vector of negative, positive,
and hospitalised members of the population in the following week.
(b) Show that M is diagonalisable over R and write down its three eigenvalues, ordered in such a way that
d1 > A2 > A3. (You may use the computer to do this calculation if you prefer, e.g., by using the mateigen command
in Pari-GP.)
(C) Write down eigenvectors V1, V2, V3 attached to A1, A, and A3 respectively.
(d) Show that v1 can be normalised so the the sum of its coordinates is equal to 1, and, with this normalisation,
show that, for any triple v = [n; p; h],
= Pv1 + av2 + bv3

Transcribed Image Text:where P = n+p+h is the total population, and a and b are some real numbers (which you do not need to
bother calculating.)
(e) Use the result of part (d) to show that, no matter what the initial state of the population, the proportion of people
in the population who are negative, positive, and hospitalised will, over time, stabilise to fixed percentages of the
population. What are these percentages?
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