Question 7.3.2: Three brine tanks If V1 = 20, V2 = 40, V3 = 50, r = 10 (gal/...

Three brine tanks If V_{1} = 20, V_{2} = 40, V_{3} = 50, r = 10 (gal/min), and the initial amounts of salt in the three brine tanks, in pounds, are

x_{1}(0) = 15, x_{2}(0) = x_{3}(0) = 0,

find the amount of salt in each tank at time t \geqq 0.

The blue check mark means that this solution has been answered and checked by an expert. This guarantees that the final answer is accurate.
Learn more on how we answer questions.

Substituting the given numerical values in (14) and (15), we get the initial value problem

x^{′}_{1} = -k_{1} x_{1},

x^{′}_{2} = k_{1} x_{1} – k_{2} x_{2},

x^{′}_{3} = k_{2} x_{2} – k_{3} x_{3},           (14)

k_{i} = \frac{r}{V_{i}} , i = 1, 2, 3.                     (15)

\textbf{x}^{′}(t) = \left [ \begin{matrix} -0.5 & 0.0 & 0.0 \\ 0.5 & -0.25 & 0.0 \\ 0.0 & 0.25 & -0.2 \end{matrix} \right ] \textbf{x},\textbf{x}(0) = \left [ \begin{matrix} 15 \\ 0 \\ 0 \end{matrix} \right ]                   (16)

for the vector x(t) = [x_{1}(t)     x_{2}(t)     x_{3}(t)]^{T} . The simple form of the matrix

A – λI = \left [ \begin{matrix} -0.5-\lambda & 0.0 & 0.0 \\ 0.5 & -0.25-\lambda & 0.0 \\ 0.0 & 0.25 & -0.2-\lambda \end{matrix} \right ]        (17)

leads readily to the characteristic equation

|A – λI| = (-0.5 – λ)(-0.25 – λ)(-0.2 – λ) = 0.

Thus, the coefficient matrix A in (16) has the distinct eigenvalues λ_{1} = -0.5, λ_{2} = -0.25, and λ_{3} = -0.2 and therefore has three linearly independent eigenvectors.
CASE 1: λ_{1} = -0.5. Substituting λ = -0.5 in (17), we get the equation

\left [ \begin{matrix} \textbf{A}+ (0.5)\cdot \textbf{I} \end{matrix} \right ]\textbf{v} = \left [ \begin{matrix} 0.0 & 0.0 & 0.0 \\ 0.5 & 0.25 & 0.0 \\ 0.0 & 0.25 & 0.3 \end{matrix} \right ] \left [ \begin{matrix} a \\ b \\ c \end{matrix} \right ] =\left [ \begin{matrix} 0 \\ 0 \\ 0 \end{matrix} \right ]

for the associated eigenvector v = [a   b   c]^{T} . The last two rows, after division by 0.25 and 0:05, respectively, yield the scalar equations

2a + b = 0,
5b + 6c = 0.

The second equation is satisfied by b = -6 and c = 5, and then the first equation gives a = 3. Thus the eigenvector

\textbf{v}_{1} = [3     -6     5]^{T}

is associated with the eigenvalue λ_{1} = -0.5.

CASE 2: λ_{2} = -0.25. Substituting λ = -0.25 in (17), we get the equation

\left [ \begin{matrix} \textbf{A}+ (0.25)\cdot \textbf{I} \end{matrix} \right ]\textbf{v} = \left [ \begin{matrix} -0.25 & 0 & 0 \\ 0.5 & 0 & 0 \\ 0 & 0.25 & 0.05 \end{matrix} \right ] \left [ \begin{matrix} a \\ b \\ c \end{matrix} \right ] =\left [ \begin{matrix} 0 \\ 0 \\ 0 \end{matrix} \right ]

for the associated eigenvector v = [a  b  c]^{T} . Each of the first two rows implies that a = 0, and division of the third row by 0.05 gives the equation

5b + c = 0,

which is satisfied by b = 1, c = -5. Thus the eigenvector

\textbf{v}_{2} = [0     1     -5]^{T}

is associated with the eigenvalue λ_{2} = -0.25.
CASE 3: λ_{3} = -0.2. Substituting λ = -0.2 in (17), we get the equation

\left [ \begin{matrix} \textbf{A}+ (0.2)\cdot \textbf{I}\end{matrix} \right ]\textbf{v} = \left [ \begin{matrix} -0.3 & 0.0 & 0.0 \\ 0.5 & -0.05 & 0.0 \\ 0.0 & 0.25 & 0.0 \end{matrix} \right ] \left [ \begin{matrix} a \\ b \\ c \end{matrix} \right ] =\left [ \begin{matrix} 0 \\ 0 \\ 0 \end{matrix} \right ]

for the eigenvector v. The first and third rows imply that a = 0, and b = 0, respectively, but the all-zero third column leaves c arbitrary (but nonzero). Thus

\textbf{v}_{3} = [0     0    1]^{T}

is an eigenvector associated with λ_{3} = -0.2.
The general solution

\textbf{x}(t) = c_{1}\textbf{v}_{1}e^{λ_{1}t} + c_{2} \textbf{v}_{2}e^{λ_{2}t} + c_{3} \textbf{v}_{3}e^{λ_{3}t}

therefore takes the form

\textbf{x}(t) = c_{1} \left [ \begin{matrix} 3 \\ -6 \\ 5 \end{matrix} \right ] e^{(-0.5)t} + c_{2} \left [ \begin{matrix} 0 \\ 1 \\ -5 \end{matrix} \right ] e^{(-0.25)t} +c_{3} \left [ \begin{matrix} 0 \\ 0 \\ 1 \end{matrix} \right ]e^{(-0.2)t} .

The resulting scalar equations are

x_{1}(t) = 3c_{1} e^{(-0.5)t} ,

x_{2}(t) = -6c_{1} e^{(-0.5)t} + c_{2}e^{(-0.25)t} ,

x_{3}(t) = 5c_{1}e^{(-0.5)t} – 5c_{2} e^{(-0.25)t} + c_{3} e^{(-0.2)t}.

When we impose the initial conditions x_{1}(0) = 15, x_{2}(0) = x_{3}(0) = 0, we get the equations

3c_{1} = 15,

-6c_{1} + c_{2} = 0,

5c_{1} – 5c_{2} + c_{3} = 0

that are readily solved (in turn) for c_{1} = 5, c_{2} = 30,  and  c_{3} = 125. Thus, finally, the amounts of salt at time t in the three brine tanks are given by

x_{1}(t) = 15e^{(-0.5)t} ,

x_{2}(t) = -30 e^{(-0.5)t} + 30e^{(-0.25)t} ,

x_{3}(t) = 25e^{(-0.5)t} – 150e^{(-0.25)t} + 125e^{(-0.2)t} .

Figure 7.3.3 shows the graphs of x_{1}(t), x_{2}(t),  and  x_{3}(t). As we would expect, tank 1 is rapidly “flushed” by the incoming fresh water, and x_{1}(t) → 0  as  t → + \infty. The amounts x_{2}(t)  and   x_{3}(t) of salt in tanks 2 and 3 peak in turn and then approach zero as the whole three-tank system is purged of salt as t → + \infty.

7.3.3

Related Answered Questions

Question: 7.6.3

Verified Answer:

In Example 2 we found that the coefficient matrix ...
Question: 7.6.1

Verified Answer:

The characteristic equation of the coefficient mat...
Question: 7.4.13

Verified Answer:

Although we could directly apply the eigenvalue/ei...
Question: 7.4.12

Verified Answer:

The coefficient matrix A = \begin{bmatrix} ...
Question: 7.4.11

Verified Answer:

The coefficient matrix A = \begin{bmatrix}...
Question: 7.6.4

Verified Answer:

The characteristic equation of the coefficient mat...
Question: 7.3.3

Verified Answer:

The coefficient matrix A = \begin{bmatrix} ...
Question: 7.3.1

Verified Answer:

The matrix form of the system in (9) is x^...