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Ch. 9 - Differential Equations
Briggs - Calculus: Early Transcendentals 3rd Edition
Briggs3rd EditionCalculus: Early TranscendentalsISBN: 9780136847243당신이 사용하는 게 아니라요?교과서 변경
9장, 문제 9.5.38d

U.S. population projections According to the U.S. Census Bureau, the nation’s population (to the nearest million) was 296 million in 2005 and 321 million in 2015. The Bureau also projects a 2050 population of 398 million. To construct a logistic model, both the growth rate and the carrying capacity must be estimated. There are several ways to estimate these parameters. Here is one approach:


d. Estimations of this kind must be made and interpreted carefully. Suppose the projected population for 2050 is 410 million rather than 398 million. What is the value of the carrying capacity in this case?

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Understand that the logistic growth model is given by the differential equation: \[\frac{dP}{dt} = rP\left(1 - \frac{P}{K}\right)\] where \(P\) is the population at time \(t\), \(r\) is the intrinsic growth rate, and \(K\) is the carrying capacity.
Identify the known data points: population in 2005 (\(P_0 = 296\) million), population in 2015 (\(P_{10} = 321\) million), and the projected population in 2050 (\(P_{45} = 410\) million). Here, \(t=0\) corresponds to the year 2005.
Use the logistic growth solution formula: \[P(t) = \frac{K}{1 + Ae^{-rt}}\] where \(A\) is a constant determined by initial conditions. At \(t=0\(, \[P(0) = \frac{K}{1 + A} = 296\] which allows you to express \)A\) in terms of \(K\) and known initial population.
Set up two equations using the populations at \(t=10\) and \(t=45\(: \[321 = \frac{K}{1 + Ae^{-r \cdot 10}}\] and \[410 = \frac{K}{1 + Ae^{-r \cdot 45}}.\] Substitute \)A\) from the initial condition into these equations to create a system with two unknowns, \(r\) and \(K\).
Solve the system of equations simultaneously to find the values of \(r\) and \(K\). The value of \(K\) you find will be the carrying capacity corresponding to the projected 2050 population of 410 million.

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주요 개념

질문에 올바르게 답하기 위해 반드시 이해해야 하는 핵심 개념들은 다음과 같습니다.

Logistic Growth Model

The logistic growth model describes population growth that starts exponentially but slows as the population approaches a maximum limit called the carrying capacity. It is represented by a differential equation where growth rate decreases as population nears this limit, modeling realistic constraints like resources.
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09:29
Exponential Growth & Decay

Carrying Capacity

Carrying capacity is the maximum population size that an environment can sustain indefinitely given available resources. In logistic models, it acts as an upper bound, causing growth to slow and stabilize as the population approaches this value.
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07:39
Intro to the Chain Rule Example 2

Parameter Estimation in Population Models

Estimating parameters like growth rate and carrying capacity involves using known data points to fit the logistic model. This often requires solving equations based on population values at different times to find the best values that describe the population trend.
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가이드 코스
05:59
Estimating the Area Under a Curve with Right Endpoints & Midpoint
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교과서 질문

52-56. In this section, several models are presented and the solution of the associated differential equation is given. Later in the chapter, we present methods for solving these differential equations.


where P(t) is the population, for t ≥ 0, and r > 0 and K > 0 are given constants.


d. Find lim(t→∞) P(t) and check that the result is consistent with the graph in part (c).

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교과서 질문

27–30. Predator-prey models Consider the following pairs of differential equations that model a predator-prey system with populations x and y. In each case, carry out the following steps.


e. Sketch a representative solution curve in the xy-plane and indicate the direction in which the solution evolves.


x′(t) = −3x + 6xy, y′(t) = y − 4xy

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교과서 질문

Explain why or why not Determine whether the following statements are true and give an explanation or counterexample


d. According to Newton’s Law of Cooling, the temperature of a hot object will reach the ambient temperature after a finite amount of time.

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교과서 질문

A physiological model A common assumption in modeling drug assimilation is that the blood volume in a person is a single compartment that behaves like a stirred tank. Suppose the blood volume is a four-liter tank that initially has a zero concentration of a particular drug. At time t = 0, an intravenous line is inserted into a vein (into the tank) that carries a drug solution with a concentration of 500 mg/L. The inflow rate is 0.06 L/min. Assume the drug is quickly mixed thoroughly in the blood and that the volume of blood remains constant.

d. After how many minutes does the drug mass reach 90% of its steady-state level? 

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교과서 질문

27–30. Predator-prey models Consider the following pairs of differential equations that model a predator-prey system with populations x and y. In each case, carry out the following steps.

d. Identify the four regions in the first quadrant of the xy-plane in which x' and y' are positive or negative.


x′(t) = 2x − 4xy, y′(t) = −y + 2xy

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교과서 질문

29–32. {Use of Tech} Errors in Euler’s method Consider the following initial value problems.


d. In general, how does halving the time step affect the error at t=0.2 and t=0.4?


y′(t) = y/2, y(0) = 2; y(t) = 2eᵗᐟ²

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