Find the general flow pattern of the network shown in the figure. Assuming that the flows are all non-negative, what is the largest possible values for \({x_3}\) ?

Short Answer

Expert verified

The largest value of \({x_3}\) is 20.

Step by step solution

01

Equation at nodes

First, write down all the equations at each node. Since the flows are non-negative, the value of the flow will always be positive.

We know that the incoming flow at each node will be equal to the outgoing flow.

For node A:

\({x_1} + {x_3} = 20\)

For node B:

\({x_2} = {x_4} + {x_3}\)

For node C:

\({x_1} + {x_2} = 80\)

The total flow of the system:

\({x_4} + 20 = 80\)

02

Reduce the matrix

Re-arrange all the above equations to get the augmented matrix.

\(\begin{array}{c}{x_1} + {x_3} = 20\\{x_2} - {x_3} - {x_4} = 0\\{x_1} + {x_2} = 80\\{x_4} = 60\end{array}\)

Write down the equations in an augmented matrix form.

\(\left[ {\begin{array}{*{20}{c}}1&0&1&0&{20}\\0&1&{ - 1}&{ - 1}&0\\1&1&0&0&{80}\\0&0&0&1&{60}\end{array}} \right]\)

03

Echelon matrix

Reduce the augmented matrix into an echelon matrix.

Apply row operation \({R_3} \to {R_3} - {R_1}\) .

\(\left[ {\begin{array}{*{20}{c}}1&0&1&0&{20}\\0&1&{ - 1}&{ - 1}&0\\0&1&{ - 1}&0&{60}\\0&0&0&1&{60}\end{array}} \right]\)

Apply row operation \({R_3} \to {R_3} - {R_2}\) .

\(\left[ {\begin{array}{*{20}{c}}1&0&1&0&{20}\\0&1&{ - 1}&{ - 1}&0\\0&0&0&1&{60}\\0&0&0&1&{60}\end{array}} \right]\)

Apply row operation \({R_4} \to {R_4} - {R_3}\) .

\(\left[ {\begin{array}{*{20}{c}}1&0&1&0&{20}\\0&1&{ - 1}&{ - 1}&0\\0&0&0&1&{60}\\0&0&0&0&0\end{array}} \right]\)

04

Largest Value of flow

The general flow pattern of the system is given by:

\[\left\{ \begin{array}{c}{x_1} = 20 - {x_3}\\{x_2} = 60 + {x_3}\\{x_3}\,{\rm{is}}\,{\rm{free}}\\{x_4} = 60\end{array} \right.\]

Since \({x_1}\) cannot be negative as all the flows are non-negative, the value of \({x_1}\) is 0.

Hence, the largest value of \({x_3}\) is 20.

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Most popular questions from this chapter

In Exercises 23 and 24, key statements from this section are either quoted directly, restated slightly (but still true), or altered in some way that makes them false in some cases. Mark each statement True or False, and justify your answer.(If true, give the approximate location where a similar statement appears, or refer to a definition or theorem. If false, give the location of a statement that has been quoted or used incorrectly, or cite an example that shows the statement is not true in all cases.) Similar true/false questions will appear in many sections of the text.

24.

a. Elementary row operations on an augmented matrix never change the solution set of the associated linear system.

b. Two matrices are row equivalent if they have the same number of rows.

c. An inconsistent system has more than one solution.

d. Two linear systems are equivalent if they have the same solution set.

If Ais an \(n \times n\) matrix and the equation \(A{\bf{x}} = {\bf{b}}\) has more than one solution for some b, then the transformation \({\bf{x}}| \to A{\bf{x}}\) is not one-to-one. What else can you say about this transformation? Justify your answer.a

Suppose the system below is consistent for all possible values of \(f\) and \(g\). What can you say about the coefficients \(c\) and \(d\)? Justify your answer.

27. \(\begin{array}{l}{x_1} + 3{x_2} = f\\c{x_1} + d{x_2} = g\end{array}\)

Let \(A = \left[ {\begin{array}{*{20}{c}}1&0&{ - 4}\\0&3&{ - 2}\\{ - 2}&6&3\end{array}} \right]\) and \(b = \left[ {\begin{array}{*{20}{c}}4\\1\\{ - 4}\end{array}} \right]\). Denote the columns of \(A\) by \({{\mathop{\rm a}\nolimits} _1},{a_2},{a_3}\) and let \(W = {\mathop{\rm Span}\nolimits} \left\{ {{a_1},{a_2},{a_3}} \right\}\).

  1. Is \(b\) in \(\left\{ {{a_1},{a_2},{a_3}} \right\}\)? How many vectors are in \(\left\{ {{a_1},{a_2},{a_3}} \right\}\)?
  2. Is \(b\) in \(W\)? How many vectors are in W.
  3. Show that \({a_1}\) is in W.[Hint: Row operations are unnecessary.]

Determine h and k such that the solution set of the system (i) is empty, (ii) contains a unique solution, and (iii) contains infinitely many solutions.

a. \({x_1} + 3{x_2} = k\)

\(4{x_1} + h{x_2} = 8\)

b. \( - 2{x_1} + h{x_2} = 1\)

\(6{x_1} + k{x_2} = - 2\)

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