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Balance the chemical equations in Exercise 5-10 using the vector equation approach discussed in this section.

If possible, use exact arithmetic or rational format for calculations in balancing the following chemical reaction:

\(Pb{N_6} + CrM{n_2}{O_8} \to P{b_3}{O_4} + C{r_2}{O_3} + Mn{O_2} + NO\)

Short Answer

Expert verified

\(15Pb{N_6} + 44CrM{n_2}{O_8} \to 5P{b_3}{O_4} + 22C{r_2}{O_3} + 88Mn{O_2} + 90NO\)

Step by step solution

01

Formation of vectors for the number of atoms of chemicals

The number of atoms of the chemical compound participating in the chemical reaction can be represented in the form of vectors.

The following vectors represent the number of atoms of lead (Pb), nitrogen (N), chromium (Cr), manganese (Mn), and oxygen (O) for the chemical compounds participating in the chemical reaction.

\({\rm{Pb}}{{\rm{N}}_6}:\left[ {\begin{array}{*{20}{c}}1\\6\\0\\0\\0\end{array}} \right]\), \({\rm{CrMn}}{{\rm{O}}_2}{\rm{:}}\left[ {\begin{array}{*{20}{c}}0\\0\\1\\2\\8\end{array}} \right]\), \({\rm{P}}{{\rm{b}}_3}{{\rm{O}}_4}:\left[ {\begin{array}{*{20}{c}}3\\0\\0\\0\\4\end{array}} \right]\), \({\rm{C}}{{\rm{r}}_2}{{\rm{O}}_3}{\rm{:}}\left[ {\begin{array}{*{20}{c}}0\\0\\2\\0\\3\end{array}} \right]\), \({\rm{Mn}}{{\rm{O}}_2}{\rm{:}}\left[ {\begin{array}{*{20}{c}}0\\0\\0\\1\\2\end{array}} \right]\),and \({\rm{NO:}}\left[ {\begin{array}{*{20}{c}}0\\1\\0\\0\\1\end{array}} \right]\)

02

Writing a balanced equation using the vectors of the number of atoms

In the chemical equation, using the vectors, the coefficients of the chemical compound can be determined.

Let the chemical reaction be:

\({x_1} \cdot Pb{N_6} + {x_2} \cdot CrM{n_2}{O_8} \to {x_3} \cdot P{b_3}{O_4} + {x_4} \cdot C{r_2}{O_3} + {x_5} \cdot Mn{O_2} + {x_6} \cdot NO\)

The above reaction must satisfy the equation:

\({x_1}\left[ {\begin{array}{*{20}{c}}1\\6\\0\\0\\0\end{array}} \right] + {x_2}\left[ {\begin{array}{*{20}{c}}0\\0\\1\\2\\8\end{array}} \right] = {x_3}\left[ {\begin{array}{*{20}{c}}3\\0\\0\\0\\4\end{array}} \right] + {x_4}\left[ {\begin{array}{*{20}{c}}0\\0\\2\\0\\3\end{array}} \right] + {x_5}\left[ {\begin{array}{*{20}{c}}0\\0\\0\\1\\2\end{array}} \right] + {x_6}\left[ {\begin{array}{*{20}{c}}0\\1\\0\\0\\1\end{array}} \right]\)

03

Writing the augmented matrix using the vectors

The vector equation for the chemical compound is used to write the augmented matrix.

Theaugmented matrix for the equation \({x_1}\left[ {\begin{array}{*{20}{c}}1\\6\\0\\0\\0\end{array}} \right] + {x_2}\left[ {\begin{array}{*{20}{c}}0\\0\\1\\2\\8\end{array}} \right] = {x_3}\left[ {\begin{array}{*{20}{c}}3\\0\\0\\0\\4\end{array}} \right] + {x_4}\left[ {\begin{array}{*{20}{c}}0\\0\\2\\0\\3\end{array}} \right] + {x_5}\left[ {\begin{array}{*{20}{c}}0\\0\\0\\1\\2\end{array}} \right] + {x_6}\left[ {\begin{array}{*{20}{c}}0\\1\\0\\0\\1\end{array}} \right]\) is:

\(\left[ {\begin{array}{*{20}{c}}1&0&{ - 3}&0&0&0&0\\6&0&0&0&0&{ - 1}&0\\0&1&0&{ - 2}&0&0&0\\0&2&0&0&{ - 1}&0&0\\0&8&{ - 4}&{ - 3}&{ - 2}&{ - 1}&0\end{array}} \right]\)

04

Simplification of the augmented matrix using row operations

Row operations do not affect a linear system.

At row 2, multiply row 1 with 6 and subtract it from row 2, i.e., \({R_2} \to {R_2} - 6{R_1}\).

\(\left[ {\begin{array}{*{20}{c}}1&0&{ - 3}&0&0&0&0\\{6 - 6\left( 1 \right)}&{0 - 0}&{0 - 6\left( { - 3} \right)}&{0 - 0}&{0 - 0}&{ - 1 - 0}&{0 - 0}\\0&1&0&{ - 2}&0&0&0\\0&2&0&0&{ - 1}&0&0\\0&8&{ - 4}&{ - 3}&{ - 2}&{ - 1}&0\end{array}} \right]\)

After the row operation, the matrix will become:

\(\left[ {\begin{array}{*{20}{c}}1&0&{ - 3}&0&0&0&0\\0&0&{18}&0&0&{ - 1}&0\\0&1&0&{ - 2}&0&0&0\\0&2&0&0&{ - 1}&0&0\\0&8&{ - 4}&{ - 3}&{ - 2}&{ - 1}&0\end{array}} \right]\)

Interchange the second row and third row, i.e., \({R_2} \leftrightarrow {R_3}\).

\(\left[ {\begin{array}{*{20}{c}}1&0&{ - 3}&0&0&0&0\\0&1&0&{ - 2}&0&0&0\\0&0&{18}&0&0&{ - 1}&0\\0&2&0&0&{ - 1}&0&0\\0&8&{ - 4}&{ - 3}&{ - 2}&{ - 1}&0\end{array}} \right]\)

05

Simplification of the augmented matrix using row operations

At row 4, multiply row 2 with 2 and subtract it from row 4, i.e., \({R_4} \to {R_4} - 2{R_2}\).

\(\left[ {\begin{array}{*{20}{c}}1&0&{ - 3}&0&0&0&0\\0&1&0&{ - 2}&0&0&0\\0&0&{18}&0&0&{ - 1}&0\\0&{2 - 2\left( 1 \right)}&{0 - 0}&{0 - 2\left( { - 2} \right)}&{ - 1 - 0}&{0 - 0}&{0 - 0}\\0&8&{ - 4}&{ - 3}&{ - 2}&{ - 1}&0\end{array}} \right]\)

After the row operation, the matrix will become:

\(\left[ {\begin{array}{*{20}{c}}1&0&{ - 3}&0&0&0&0\\0&1&0&{ - 2}&0&0&0\\0&0&{18}&0&0&{ - 1}&0\\0&0&0&4&{ - 1}&0&0\\0&8&{ - 4}&{ - 3}&{ - 2}&{ - 1}&0\end{array}} \right]\)

At row 5, multiply row 2 with 8 and subtract it from row 5, i.e., \({R_5} \to {R_5} - 8{R_2}\).

\(\left[ {\begin{array}{*{20}{c}}1&0&{ - 3}&0&0&0&0\\0&1&0&{ - 2}&0&0&0\\0&0&{18}&0&0&{ - 1}&0\\0&0&0&4&{ - 1}&0&0\\0&{8 - 8\left( 1 \right)}&{ - 4 - 0}&{ - 3 - 8\left( { - 2} \right)}&{ - 2 - 0}&{ - 1 - 0}&{0 - 0}\end{array}} \right]\)

After the row operation, the matrix will become:

\(\left[ {\begin{array}{*{20}{c}}1&0&{ - 3}&0&0&0&0\\0&1&0&{ - 2}&0&0&0\\0&0&{18}&0&0&{ - 1}&0\\0&0&0&4&{ - 1}&0&0\\0&0&{ - 4}&{13}&{ - 2}&{ - 1}&0\end{array}} \right]\)

06

Simplification of the augmented matrix using row operations

Divide row 3 by 18, i.e., \({R_3} \to \frac{{{R_3}}}{{18}}\).

\(\left[ {\begin{array}{*{20}{c}}1&0&{ - 3}&0&0&0&0\\0&1&0&{ - 2}&0&0&0\\0&0&1&0&0&{\frac{{ - 1}}{{18}}}&0\\0&0&0&4&{ - 1}&0&0\\0&0&{ - 4}&{13}&{ - 2}&{ - 1}&0\end{array}} \right]\)

At row 5, multiply row 3 with 4 and add it to row 5, i.e., \({R_5} \to {R_5} + 3{R_4}\).

\(\left[ {\begin{array}{*{20}{c}}1&0&{ - 3}&0&0&0&0\\0&1&0&{ - 2}&0&0&0\\0&0&1&0&0&{\frac{{ - 1}}{{18}}}&0\\0&0&0&4&{ - 1}&0&0\\0&0&{ - 4 + 4\left( 1 \right)}&{13 + 0}&{ - 2 + 0}&{ - 1 + 4\left( { - \frac{1}{{18}}} \right)}&0\end{array}} \right]\)

After the row operation, the matrix will become:

\(\left[ {\begin{array}{*{20}{c}}1&0&{ - 3}&0&0&0&0\\0&1&0&{ - 2}&0&0&0\\0&0&1&0&0&{\frac{{ - 1}}{{18}}}&0\\0&0&0&4&{ - 1}&0&0\\0&0&0&{13}&{ - 2}&{ - \frac{{11}}{9}}&0\end{array}} \right]\)

Divide row 4 by 4, i.e., \({R_4} \to \frac{1}{4}{R_4}\).

\(\left[ {\begin{array}{*{20}{c}}1&0&{ - 3}&0&0&0&0\\0&1&0&{ - 2}&0&0&0\\0&0&1&0&0&{\frac{{ - 1}}{{18}}}&0\\0&0&0&1&{ - \frac{1}{4}}&0&0\\0&0&0&{13}&{ - 2}&{ - \frac{{11}}{9}}&0\end{array}} \right]\)

07

Simplification of the augmented matrix using row operations

At row 5, multiply row 4 with 13 and subtract it from row 5, i.e., \({R_5} \to {R_5} - 13{R_4}\).

\(\left[ {\begin{array}{*{20}{c}}1&0&{ - 3}&0&0&0&0\\0&1&0&{ - 2}&0&0&0\\0&0&1&0&0&{\frac{{ - 1}}{{18}}}&0\\0&0&0&1&{ - \frac{1}{4}}&0&0\\0&0&0&{13 - 13\left( 1 \right)}&{ - 2 - 13\left( { - \frac{1}{4}} \right)}&{ - \frac{{11}}{9} - 0}&0\end{array}} \right]\)

After the row operation, the matrix will become:

\(\left[ {\begin{array}{*{20}{c}}1&0&{ - 3}&0&0&0&0\\0&1&0&{ - 2}&0&0&0\\0&0&1&0&0&{\frac{{ - 1}}{{18}}}&0\\0&0&0&1&{ - \frac{1}{4}}&0&0\\0&0&0&0&{\frac{5}{4}}&{ - \frac{{11}}{9}}&0\end{array}} \right]\)

Multiply row 5 with \(\frac{4}{5}\), i.e., \({R_5} \to \frac{4}{5}{R_5}\).

\(\left[ {\begin{array}{*{20}{c}}1&0&{ - 3}&0&0&0&0\\0&1&0&{ - 2}&0&0&0\\0&0&1&0&0&{\frac{{ - 1}}{{18}}}&0\\0&0&0&1&{ - \frac{1}{4}}&0&0\\0&0&0&0&1&{ - \frac{{44}}{{45}}}&0\end{array}} \right]\)

For row 4, multiply row 5 with \(\frac{1}{4}\) and add it to row 4, i.e., \({R_4} \to {R_4} + \frac{1}{4}{R_5}\).

\(\left[ {\begin{array}{*{20}{c}}1&0&{ - 3}&0&0&0&0\\0&1&0&{ - 2}&0&0&0\\0&0&1&0&0&{\frac{{ - 1}}{{18}}}&0\\{0 + 0}&{0 + 0}&{0 + 0}&{1 + 0}&{ - \frac{1}{4} + \frac{1}{4}\left( 1 \right)}&{0 + \frac{1}{4}\left( { - \frac{{44}}{{45}}} \right)}&{0 + 0}\\0&0&0&0&1&{ - \frac{{44}}{{45}}}&0\end{array}} \right]\)

After the row operation, the matrix will become:

\(\left[ {\begin{array}{*{20}{c}}1&0&{ - 3}&0&0&0&0\\0&1&0&{ - 2}&0&0&0\\0&0&1&0&0&{\frac{{ - 1}}{{18}}}&0\\0&0&0&1&0&{ - \frac{{11}}{{45}}}&{0 + 0}\\0&0&0&0&1&{ - \frac{{44}}{{45}}}&0\end{array}} \right]\)

08

Simplification of the augmented matrix using row operations

At row 2, multiply row 4 with 2 and add with row 2, i.e., \({R_2} \to {R_2} + 2{R_4}\).

\(\left[ {\begin{array}{*{20}{c}}1&0&{ - 3}&0&0&0&0\\{0 + 0}&{1 + 0}&{0 + 0}&{ - 2 + 2\left( 1 \right)}&{0 + 0}&{0 + 2\left( { - \frac{{11}}{{45}}} \right)}&0\\0&0&1&0&0&{\frac{{ - 1}}{{18}}}&0\\0&0&0&1&0&{ - \frac{{11}}{{45}}}&{0 + 0}\\0&0&0&0&1&{ - \frac{{44}}{{45}}}&0\end{array}} \right]\)

After the row operation, the matrix will become:

\(\left[ {\begin{array}{*{20}{c}}1&0&{ - 3}&0&0&0&0\\0&1&0&0&0&{ - \frac{{22}}{{45}}}&0\\0&0&1&0&0&{\frac{{ - 1}}{{18}}}&0\\0&0&0&1&0&{ - \frac{{11}}{{45}}}&{0 + 0}\\0&0&0&0&1&{ - \frac{{44}}{{45}}}&0\end{array}} \right]\)

At row 1, multiply row 3 with 3 and add it to row 1, i.e., \({R_1} \to {R_1} + 3{R_3}\).

\(\left[ {\begin{array}{*{20}{c}}{1 + 0}&{0 + 0}&{ - 3 + 3\left( 1 \right)}&{0 + 0}&{0 + 0}&{0 + 3\left( { - \frac{1}{{18}}} \right)}&0\\0&1&0&0&0&{ - \frac{{22}}{{45}}}&0\\0&0&1&0&0&{\frac{{ - 1}}{{18}}}&0\\0&0&0&1&0&{ - \frac{{11}}{{45}}}&{0 + 0}\\0&0&0&0&1&{ - \frac{{44}}{{45}}}&0\end{array}} \right]\)

After the row operation, the matrix will become:

\(\left[ {\begin{array}{*{20}{c}}1&0&0&0&0&{ - \frac{1}{6}}&0\\0&1&0&0&0&{ - \frac{{22}}{{45}}}&0\\0&0&1&0&0&{\frac{{ - 1}}{{18}}}&0\\0&0&0&1&0&{ - \frac{{11}}{{45}}}&{0 + 0}\\0&0&0&0&1&{ - \frac{{44}}{{45}}}&0\end{array}} \right]\)

09

Finding the general solution

Thegeneral solution for the coefficients of the chemical reaction is:

\({x_1} = \frac{1}{6}{x_6}\), \({x_2} = \frac{{22}}{{45}}{x_6}\), \({x_3} = \frac{1}{{18}}{x_6}\), \({x_4} = \frac{{11}}{{45}}{x_6}\), and \({x_5} = \frac{{44}}{{45}}{x_6}\).

Let \({x_6} = 90\), then

\({x_1} = 15\), \({x_2} = 44\), \({x_3} = 5\), \({x_4} = 22\), and \({x_5} = 88\)

So, the balanced chemical reaction is:

\(15Pb{N_6} + 44CrM{n_2}{O_8} \to 5P{b_3}{O_4} + 22C{r_2}{O_3} + 88Mn{O_2} + 90NO\)

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Most popular questions from this chapter

Let \(T:{\mathbb{R}^n} \to {\mathbb{R}^n}\) be an invertible linear transformation, and let Sand U be functions from \({\mathbb{R}^n}\) into \({\mathbb{R}^n}\) such that \(S\left( {T\left( {\mathop{\rm x}\nolimits} \right)} \right) = {\mathop{\rm x}\nolimits} \) and \(\)\(U\left( {T\left( {\mathop{\rm x}\nolimits} \right)} \right) = {\mathop{\rm x}\nolimits} \) for all x in \({\mathbb{R}^n}\). Show that \(U\left( v \right) = S\left( v \right)\) for all v in \({\mathbb{R}^n}\). This will show that Thas a unique inverse, as asserted in theorem 9. (Hint: Given any v in \({\mathbb{R}^n}\), we can write \({\mathop{\rm v}\nolimits} = T\left( {\mathop{\rm x}\nolimits} \right)\) for some x. Why? Compute \(S\left( {\mathop{\rm v}\nolimits} \right)\) and \(U\left( {\mathop{\rm v}\nolimits} \right)\)).

Use Theorem 7 in section 1.7 to explain why the columns of the matrix Aare linearly independent.

\(A = \left( {\begin{aligned}{*{20}{c}}1&0&0&0\\2&5&0&0\\3&6&8&0\\4&7&9&{10}\end{aligned}} \right)\)

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 de铿乶ition 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.

In Exercises 33 and 34, Tis a linear transformation from \({\mathbb{R}^2}\) into \({\mathbb{R}^2}\). Show that T is invertible and find a formula for \({T^{ - 1}}\).

34. \(T\left( {{x_1},{x_2}} \right) = \left( {6{x_1} - 8{x_2}, - 5{x_1} + 7{x_2}} \right)\)

Question:Let A be the n x n matrix with 0's on the main diagonal, and 1's everywhere else. For an arbitrary vector bin n, solve the linear system Ax=b鈬赌, expressing the components x1,.......,xnof xin terms of the components of b鈬赌. See Exercise 69 for the case n=3 .

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