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In Exercises 29 – 32, (a) does the equation \(A{\mathop{\rm x}\nolimits} = {\mathop{\rm b}\nolimits} \) have a nontrivial solution and (b) does the equation \(Ax = b\) have at least one solution for every possible \({\mathop{\rm b}\nolimits} \)?

30. \(A\) is a \(3 \times 3\) matrix with three pivot positions.

Short Answer

Expert verified

a. The equation \(Ax = 0\) contains one free variable. Thus, the equation \(Ax = 0\) has a nontrivial solution.


b. The equation \(Ax = b\) cannot have a solution for every value of \(b\).

Step by step solution

01

Determine the basic variable and free variable of the matrix

The variables corresponding to pivot columns in the matrix are called basic variables.The other variable is called a free variable.

\(3 \times 3\) matrix has two basic variables and one free variable.

02

Determine whether the equation \(Ax = b\) has a nontrivial solution

(a)

The homogeneous equation \(Ax = 0\) will have anontrivial solutionif and only if the equation has at least one free variable.The system will have a nontrivial solution if a column in the coefficient matrix does not construct a pivot column.

\(A\) is a \(3 \times 3\) matrix with two pivot positions since the equation \(Ax = 0\) contains two basic variables and one free variable. Therefore, the equation \(Ax = 0\) has a nontrivial solution.

03

Determine whether the equation \(Ax = b\) has at least one solution for every possible \({\mathop{\rm b}\nolimits} \)

(b)

Theorem 4states that \(A\) is a \({\mathop{\rm m}\nolimits} \times n\) matrix. Hence, the following statement is equivalent. For a particular \(A\), either they are all true statements or false statements.

  1. For each \({\mathop{\rm b}\nolimits} \) in \({\mathbb{R}^m}\), the equation \(Ax = b\) has a solution.
  2. Each \({\mathop{\rm b}\nolimits} \) in \({\mathbb{R}^m}\) is a linear combination of the columns of A.
  3. The columns of \(A\) span .
  4. \(A\)has a pivot position in every row.

Since there are only two pivot positions in the matrix \(A\), so \(A\) cannot have a pivot position in every row. According to theorem 4, the equation \(Ax = b\) cannot have a solution for every value of \({\mathop{\rm b}\nolimits} \).

Thus, the equation \(Ax = b\) cannot have a solution for every value of \(b\).

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Most popular questions from this chapter

In Exercise 2, compute \(u + v\) and \(u - 2v\).

2. \(u = \left[ {\begin{array}{*{20}{c}}3\\2\end{array}} \right]\), \(v = \left[ {\begin{array}{*{20}{c}}2\\{ - 1}\end{array}} \right]\).

Suppose Ais an \(n \times n\) matrix with the property that the equation \(A{\mathop{\rm x}\nolimits} = 0\) has at least one solution for each b in \({\mathbb{R}^n}\). Without using Theorem 5 or 8, explain why each equation Ax = b has in fact exactly one solution.

An important concern in the study of heat transfer is to determine the steady-state temperature distribution of a thin plate when the temperature around the boundary is known. Assume the plate shown in the figure represents a cross section of a metal beam, with negligible heat flow in the direction perpendicular to the plate. Let \({T_1},...,{T_4}\) denote the temperatures at the four interior nodes of the mesh in the figure. The temperature at a node is approximately equal to the average of the four nearest nodes—to the left, above, to the right, and below. For instance,

\({T_1} = \left( {10 + 20 + {T_2} + {T_4}} \right)/4\), or \(4{T_1} - {T_2} - {T_4} = 30\)

33. Write a system of four equations whose solution gives estimates

for the temperatures \({T_1},...,{T_4}\).

Write the reduced echelon form of a \(3 \times 3\) matrix A such that the first two columns of Aare pivot columns and

\(A = \left( {\begin{aligned}{*{20}{c}}3\\{ - 2}\\1\end{aligned}} \right) = \left( {\begin{aligned}{*{20}{c}}0\\0\\0\end{aligned}} \right)\).

Suppose an experiment leads to the following system of equations:

\(\begin{aligned}{c}{\bf{4}}.{\bf{5}}{x_{\bf{1}}} + {\bf{3}}.{\bf{1}}{x_{\bf{2}}} = {\bf{19}}.{\bf{249}}\\1.6{x_{\bf{1}}} + 1.1{x_{\bf{2}}} = 6.843\end{aligned}\) (3)

  1. Solve system (3), and then solve system (4), below, in which the data on the right have been rounded to two decimal places. In each case, find the exactsolution.

\(\begin{aligned}{c}{\bf{4}}.{\bf{5}}{x_{\bf{1}}} + {\bf{3}}.{\bf{1}}{x_{\bf{2}}} = {\bf{19}}.{\bf{25}}\\1.6{x_{\bf{1}}} + 1.1{x_{\bf{2}}} = 6.8{\bf{4}}\end{aligned}\) (4)

  1. The entries in (4) differ from those in (3) by less than .05%. Find the percentage error when using the solution of (4) as an approximation for the solution of (3).
  1. Use your matrix program to produce the condition number of the coefficient matrix in (3).
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