(a) Reread of Exercises 3.3. In that problem you were | StudySoup
A First Course in Differential Equations with Modeling Applications | 10th Edition | ISBN: 9781111827052 | Authors: Dennis G. Zill

Table of Contents

A.I
A.II

APPENDIX I
GAMMA FUNCTION

APPENDIX II
MATRICES

1
Introduction to Differential Equations
1.R
1.1
Definitions and Terminology
1.1
Definitions and Terminology
1.2
Initial-Value Problems
1.2
Initial-Value Problems
1.3
Differential Equations as Mathematical Models
1.3
Differential Equations as Mathematical Models

2
First-order Differential Equations
2.R
2.1
Solution Curves Without a Solution
2.1
Solution Curves Without a Solution
2.2
Separable Equations
2.2
Separable Equations
2.3
Linear Equations
2.3
Linear Equations
2.4
Exact Equations
2.4
Exact Equations
2.5
Solutions by Substitutions
2.5
Solutions by Substitutions
2.6
A Numerical Method
2.6
A Numerical Method

3
Modeling with First-Order Differential Equations
3.R
3.1
Linear Models
3.1
Linear Models
3.2
Nonlinear Models
3.2
Nonlinear Models
3.3
Modeling with Systems of First-Order DEs
3.3
Modeling with Systems of First-Order DEs

4
Higher-Order Differential Equations
4.R
4.1
Preliminary Theory—Linear Equations
4.1
Preliminary Theory—Linear Equations
4.10
Nonlinear Differential Equations
4.2
Reduction of Order
4.2
Reduction of Order
4.3
Homogeneous Linear Equations with Constant Coefficient
4.3
Homogeneous Linear Equations with Constant Coefficient
4.4
Undetermined Coefficients—Superposition Approach
4.4
Undetermined Coefficients—Superposition Approach
4.5
Undetermined Coefficients—Annihilator Approach
4.5
Undetermined Coefficients—Annihilator Approach
4.6
Variation of Parameters
4.6
Variation of Parameters
4.7
Cauchy-Euler Equation
4.7
Cauchy-Euler Equation
4.8
Green’s Functions
4.8
Green’s Functions
4.9
Solving Systems of Linear DEs by Elimination
4.9
Solving Systems of Linear DEs by Elimination

5
Modeling with Higher-Order Differential Equations
5.R
5.1
Linear Models: Initial-Value Problems
5.1
Linear Models: Initial-Value Problems
5.2
Linear Models: Boundary-Value Problems
5.2
Linear Models: Boundary-Value Problems
5.3
Nonlinear Models
5.3
Nonlinear Models

6
Series Solutions of Linear Equations
6.R
6.1
Review of Power Series
6.1
Review of Power Series
6.2
Solutions About Ordinary Points
6.2
Solutions About Ordinary Points
6.3
Solutions About Singular Points
6.3
Solutions About Singular Points
6.4
Special Functions
6.4
Special Functions

7
The Laplace Transform
7.R
7.1
Definition of the Laplace Transform
7.1
Definition of the Laplace Transform
7.2
Inverse Transforms and Transforms of Derivatives
7.2
Inverse Transforms and Transforms of Derivatives
7.3
Operational Properties I
7.3
Operational Properties I
7.4
Operational Properties II
7.4
Operational Properties II
7.5
The Dirac Delta Function
7.5
The Dirac Delta Function
7.6
Systems of Linear Differential Equations
7.6
Systems of Linear Differential Equations

8
Systems of Linear First-Order Differential Equations
8.R
8.1
Preliminary Theory—Linear Systems
8.1
Preliminary Theory—Linear Systems
8.2
Homogeneous Linear Systems
8.2
Homogeneous Linear Systems
8.3
Nonhomogeneous Linear Systems
8.3
Nonhomogeneous Linear Systems
8.4
Matrix Exponential
8.4
Matrix Exponential

9
Numerical Solutions of Ordinary Differential Equations
9.R
9.1
Euler Methods and Error Analysis
9.1
Euler Methods and Error Analysis
9.2
Runge-Kutta Methods
9.2
Runge-Kutta Methods
9.3
Multistep Methods
9.3
Multistep Methods
9.4
Higher-Order Equations and Systems
9.4
Higher-Order Equations and Systems
9.5
Second-Order Boundary-Value Problems
9.5
Second-Order Boundary-Value Problems

Textbook Solutions for A First Course in Differential Equations with Modeling Applications

Chapter 4.9 Problem 27E

Question

(a) Reread Problem 8 of Exercises 3.3. In that problem you were asked to show that the system of differential equations

\(\frac{d x_{1}}{d t}=-\frac{1}{50} x_{1}\)

\(\frac{d x_{2}}{d t}=\frac{1}{50} x_{1}-\frac{2}{75} x_{2}\)

\(\frac{d x_{3}}{d t}=\frac{2}{75} x_{2}-\frac{1}{25} x_{3}\)

is a model for the amounts of salt in the connected mixing tanks A, B, and C shown in Figure 3.3.7. Solve the system subject to \(x_{1}(0)=15\), \(x_{2}(t)=10\), \(x_{3}(t)=5\).

(b) Use a CAS to graph \(x_{1}(t)\), \(x_{2}(t)\), and \(x_{3}(t)\) in the same coordinate plane (as in Figure 4.9.1) on the interval [0, 200].

(c) Because only pure water is pumped into Tank A, it stands to reason that the salt will eventually be flushed out of all three tanks. Use a root-finding application of a CAS to determine the time when the amount of salt in each tank is less than or equal to 0.5 pound. When will the amounts of salt \(x_{1}(t)\), \(x_{2}(t)\), and \(x_{3}(t)\) be simultaneously less than or equal to 0.5 pound?

Text Transcription:

fracd x_1dt=-frac150x_1

fracd x_2dt=\frac150x_1-frac275x_2

fracd x_3dt=\frac275x_2-frac125x_3

x_1(0)=15

x_2(t)=10

x_3(t)=5

x_1(t)

x_2(t)

x_3(t)

Solution

Step 1 of 5)

The first step in solving 4.9 problem number 27 trying to solve the problem we have to refer to the textbook question: (a) Reread Problem 8 of Exercises 3.3. In that problem you were asked to show that the system of differential equations\(\frac{d x_{1}}{d t}=-\frac{1}{50} x_{1}\)\(\frac{d x_{2}}{d t}=\frac{1}{50} x_{1}-\frac{2}{75} x_{2}\)\(\frac{d x_{3}}{d t}=\frac{2}{75} x_{2}-\frac{1}{25} x_{3}\)is a model for the amounts of salt in the connected mixing tanks A, B, and C shown in Figure 3.3.7. Solve the system subject to \(x_{1}(0)=15\), \(x_{2}(t)=10\), \(x_{3}(t)=5\).(b) Use a CAS to graph \(x_{1}(t)\), \(x_{2}(t)\), and \(x_{3}(t)\) in the same coordinate plane (as in Figure 4.9.1) on the interval [0, 200].(c) Because only pure water is pumped into Tank A, it stands to reason that the salt will eventually be flushed out of all three tanks. Use a root-finding application of a CAS to determine the time when the amount of salt in each tank is less than or equal to 0.5 pound. When will the amounts of salt \(x_{1}(t)\), \(x_{2}(t)\), and \(x_{3}(t)\) be simultaneously less than or equal to 0.5 pound?Text Transcription:fracd x_1dt=-frac150x_1fracd x_2dt=\frac150x_1-frac275x_2fracd x_3dt=\frac275x_2-frac125x_3x_1(0)=15x_2(t)=10x_3(t)=5x_1(t)x_2(t)x_3(t)
From the textbook chapter Solving Systems of Linear DEs by Elimination you will find a few key concepts needed to solve this.

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Title A First Course in Differential Equations with Modeling Applications 10 
Author Dennis G. Zill
ISBN 9781111827052

(a) Reread of Exercises 3.3. In that problem you were

Chapter 4.9 textbook questions

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