The logistic equation is the autonomous differential equation: dN =r· N [ 1 dt (1-#) K Where r and K are both positive constants. The logistic equation is used to model the size of a population subject to constrained growth. (1) In this problem we will discuss the meaning of constants r and K. (a) When the population size N is much smaller than K, explain why the logistic dN = r· N. In that dt equation behaves like the exponential growth equation: discuss how r can be thought of as the "initial growth rate" for a population subject to constrained growth. (b) When N is very close to K, explain why the logistic equation behaves like the sense, dN = 0. In this sense, discuss how K can be thought of dt differential equation: as the "carrying capacity" or "limiting capacity" for a population subject to constrained growth. (c) Assume that N(0) = No, where No is much smaller than K. Imagine a function that satisfies the differential equation in (a) for small values of t, and that has as a limit the solution to the differential equation in (b). Sketch the graph of such a function, be sure to label No and K in your graph.

Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
Publisher:David Poole
Chapter6: Vector Spaces
Section6.7: Applications
Problem 16EQ
icon
Related questions
Question
The logistic equation is the autonomous differential equation:
N(1 - *).
dN
= r.
dt
K
Where r and K are both positive constants.
The logistic equation is used to model the size of a population subject to constrained
growth.
(1) In this problem we will discuss the meaning of constants r and K.
(a) When the population size N is much smaller than K, explain why the logistic
dN
= r· N. In that
dt
equation behaves like the exponential growth equation:
sense, discuss how r can be thought of as the "initial growth rate" for a population
subject to constrained growth.
(b) When N is very close to K, explain why the logistic equation behaves like the
dN
differential equation:
dt
0. In this sense, discuss how K can be thought of
as the "carrying capacity" or “limiting capacity" for a population subject to
constrained growth.
(c) Assume that N(0) = No, where No is much smaller than K. Imagine a function
that satisfies the differential equation in (a) for small values of t, and that has
as a limit the solution to the differential equation in (b). Sketch the graph of
such a function, be sure to label No and K in your graph.
Transcribed Image Text:The logistic equation is the autonomous differential equation: N(1 - *). dN = r. dt K Where r and K are both positive constants. The logistic equation is used to model the size of a population subject to constrained growth. (1) In this problem we will discuss the meaning of constants r and K. (a) When the population size N is much smaller than K, explain why the logistic dN = r· N. In that dt equation behaves like the exponential growth equation: sense, discuss how r can be thought of as the "initial growth rate" for a population subject to constrained growth. (b) When N is very close to K, explain why the logistic equation behaves like the dN differential equation: dt 0. In this sense, discuss how K can be thought of as the "carrying capacity" or “limiting capacity" for a population subject to constrained growth. (c) Assume that N(0) = No, where No is much smaller than K. Imagine a function that satisfies the differential equation in (a) for small values of t, and that has as a limit the solution to the differential equation in (b). Sketch the graph of such a function, be sure to label No and K in your graph.
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 3 steps with 1 images

Blurred answer
Knowledge Booster
Differential Equation
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
Linear Algebra: A Modern Introduction
Linear Algebra: A Modern Introduction
Algebra
ISBN:
9781285463247
Author:
David Poole
Publisher:
Cengage Learning
Algebra & Trigonometry with Analytic Geometry
Algebra & Trigonometry with Analytic Geometry
Algebra
ISBN:
9781133382119
Author:
Swokowski
Publisher:
Cengage