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The system of mixing tanks shown in Figure 8.2.7is a closed system. The tanks A,B,and C initially contain the number of gallons of brine indicated in the figure.

Construct a mathematical model in the form of a linear system of first-order differential equations for the number of pounds of salt x1(t),x2(t) and x3(t) in the tanks A,B and Cat time respectively t. Write the system in matrix form.

(b) Use the eigenvalue method of this section to solve the linear system in part (a) subject to x1(0) = 30, x2(0) =20, x3(0) = 5.

Short Answer

Expert verified

(a) The System in Matrix form is X'=-1200110120-12000120-110X

(b) The Initial value condition forlocalid="1668092070341" X'=-1200110120-12000120-110XisX(t)=11221+2cos120t+sin120t-cos120t-sin120tte-110t-6-cos120t+sin120t-sin120t-cos120tte-110t

Step by step solution

01

Determine the complex Eigen values

The polynomial of degree n of the variable λis the characteristic polynomial of the n x n matrix A.

p(λ)=det(λI-A)

Its root is the eigenvalue of A.

02

Determine the system in matrix form

(a)

For tank A,

dx1dt=Input Rate of Salt - Output Rate of Salt

=-5100x1+550x3

=-120x1+110x3

For tank B,

dx2dt=Input Rate of Brine - Output Rate of Brine

=5100x1-5100x2

=120x1-120x2

For tank C,

dx2dt=Input Rate of Brine - Output Rate of Brine
=5100x2-550x3

=120x2-110x3

So now we have

dx1dt=-120x1+110x3dx2dt=120x1-120x2dx3dt=120x2-110x3

Which can be written in the matrix form

X'=-1200110120-12000120-110X

WhereA=-1200110120-12000120-110

The System inthe matrix form is A=-1200110120-12000120-110

03

Determine the Eigen values

(b) Obtaining the eigenvalues of the coefficient matrix,

det(A-λI)=0-120-λ0110120-120-λ00120-110-λ=0-120-λ-120-λ0120-110-λ+110120-120-λ0120=0-120-λ2-110-λ+14000=0

1400+110λ+λ2-110-λ+1400=0

-14000-1100λ-110λ2-1400λ-110λ2-λ3+14000=0

-λ3-15λ2-180λ=0

λ-λ2-15λ-180=0

For-λ2-15λ-180=0, we have

λ=0.2±(0.2)2-4(-1)(-0.0125)2(-1)

=0.2±0.1i-2

=-110±i20

=-0.1±0.05i

So our eigenvalues are λ1=0,λ2=-0.1+0.05iand λ3=λ2¯=-0.1-0.05i

04

Determine the Eigen vector and a corresponding solution vector

For λ1=0

A-0I|0=-0.05-000.100.05-0.05-00000.05-0.1-00=-0.0500.100.05-0.050000.05-0.10

From the first row we have

-0.05k1+0.1k2=0k1=2k3

Choosing k3=1 yields k1=2.

And from the second row we see that

0.05k1-0.05k2=0k1=k2

Sok2 =2.

This gives an eigenvector and a corresponding solution vector

K1=221,X1=221

Forλ-2=-0.1+0.05i:

(A-(-0.1+0.05i)L|0)=0.05-0.05i00.100.050.05-0.05i0000.05-0.05i0

From the first row we have

(0.05-0.05i)k1+0.1k3=0k1=(-1-i)k3

And from the third row

0.05k2-0.05ik3=0k2=ik3

Choosing k3=i yields k1=1-i and k2=-1.

This gives an eigenvector

K2=1-i-1i=1-10+i-101

And column vectors

B1=1-10,B2=-101

05

Determine the general solution of the system

Also,

λ=α+βiλ=-110+120i

Whereα=-110andβ=120

So the corresponding solution vectors are

X2=B1cosβt-B2sinβteαt=1-10cos120t--101sin120te-110t=cos120t+sin120t-cos120t-sin120te-110t

And,

X3=B2cosβt+B1sinβteαt=-101cos120t+1-10sin120te-110t=-cos120t+sin120t-sin120tcos120te-110t

The general solution of the system is therefore,

X=c1X1+c2X2+c3X3=c1221+c2cos120t+sin120t-cos120t-sin120te-110t+c3-cos120t+sin120t-sin120tcos120te-110t

06

Determine the initial value condition

Applying the initial value condition

X(0)=3020530205=c1221+c21-10+c3-101

Here we have

2c1+c2-c3=30.........(1)2c1-c2=20.......(2)c1+c3=5.........(3)

Rearranging equation (2),

c2=2c1-20

We substitute this into (1),

2c1+2c1-20-c3=304c1-c3=50

Adding this equation to (3) yields

5c1=55c1=11

To solve for c2 we substitute this value of c1 that we obtained into(2),

2(11)-c2=20c2=2

And to solve for c3 we substitute the value of c1 into (3),

11+c3=5c3=-6

Therefore, the solution that satisfies the initial condition is

X(t)=11221+2cos120t+sin120t-cos120t-sin120tte-110t-6-cos120t+sin120t-sin120t-cos120tte-110t

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