Question 2: Each Variable Changes over Time Next, let's make some assumptions about the rates of change of our dependent variables. No one is added to the susceptible group, since we ignore birth and migration. The only way an individual leaves the susceptible group is by becoming infected. The number of susceptibles depends on the number already susceptible, the number of individuals already infected and the contact between the two groups. Let us suppose that the coefficient beta, B, represents the contacts per day between the infected and the susceptible that are sufficient to spread the disease. If we assume homogeneous mixing of the populations, each infected individual generates B * s(t) new infected individuals per day. We also assume that a fixed fraction, mu, µ, of the infected group will recover during any given day. For example, if the average duration of infection is three days, then, on average, one-third of the currently infected population recovers each day. We will ignore the "recovered" (non- infectious) people, for now, who still feel miserable, and might even die later from other complications. As a result, we have the following differential equations: • The Susceptible Equation: ds = -ß * s(t) * i(t) dt • The Recovered Equation: dr = u * i(t) dt • The Infected Equation: di = B * s(1) * i(t) – µ * i(t) dt Answer the following questions in the space provided. 2a. di ds Explain why dt + af = 0 ? dt dt 2b. Describe both components of the infected equation. 2c. What do the minus signs represent?
Question 2: Each Variable Changes over Time Next, let's make some assumptions about the rates of change of our dependent variables. No one is added to the susceptible group, since we ignore birth and migration. The only way an individual leaves the susceptible group is by becoming infected. The number of susceptibles depends on the number already susceptible, the number of individuals already infected and the contact between the two groups. Let us suppose that the coefficient beta, B, represents the contacts per day between the infected and the susceptible that are sufficient to spread the disease. If we assume homogeneous mixing of the populations, each infected individual generates B * s(t) new infected individuals per day. We also assume that a fixed fraction, mu, µ, of the infected group will recover during any given day. For example, if the average duration of infection is three days, then, on average, one-third of the currently infected population recovers each day. We will ignore the "recovered" (non- infectious) people, for now, who still feel miserable, and might even die later from other complications. As a result, we have the following differential equations: • The Susceptible Equation: ds = -ß * s(t) * i(t) dt • The Recovered Equation: dr = u * i(t) dt • The Infected Equation: di = B * s(1) * i(t) – µ * i(t) dt Answer the following questions in the space provided. 2a. di ds Explain why dt + af = 0 ? dt dt 2b. Describe both components of the infected equation. 2c. What do the minus signs represent?
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
Related questions
Question
100%
Need help with this one please thank you;)
Expert Solution
This question has been solved!
Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.
This is a popular solution!
Trending now
This is a popular solution!
Step by step
Solved in 2 steps
Knowledge Booster
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, advanced-math and related others by exploring similar questions and additional content below.Recommended textbooks for you
Advanced Engineering Mathematics
Advanced Math
ISBN:
9780470458365
Author:
Erwin Kreyszig
Publisher:
Wiley, John & Sons, Incorporated
Numerical Methods for Engineers
Advanced Math
ISBN:
9780073397924
Author:
Steven C. Chapra Dr., Raymond P. Canale
Publisher:
McGraw-Hill Education
Introductory Mathematics for Engineering Applicat…
Advanced Math
ISBN:
9781118141809
Author:
Nathan Klingbeil
Publisher:
WILEY
Advanced Engineering Mathematics
Advanced Math
ISBN:
9780470458365
Author:
Erwin Kreyszig
Publisher:
Wiley, John & Sons, Incorporated
Numerical Methods for Engineers
Advanced Math
ISBN:
9780073397924
Author:
Steven C. Chapra Dr., Raymond P. Canale
Publisher:
McGraw-Hill Education
Introductory Mathematics for Engineering Applicat…
Advanced Math
ISBN:
9781118141809
Author:
Nathan Klingbeil
Publisher:
WILEY
Mathematics For Machine Technology
Advanced Math
ISBN:
9781337798310
Author:
Peterson, John.
Publisher:
Cengage Learning,