Step-by-Step, What is the solution for this system of linear equations?
7x + 2y -5z = -18
x + 5y - 3z = -40
2x -y -9z = -26
The correctly answer is (x = 2, y = -6, z = 4).
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Step-by-Step, What is the solution for this system of linear equations?
The correctly answer is (x = 2, y = -6, z = 4). |
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Well,use Gauss-Jordan...(use fractions ,if you think it´s better)
Ten you will get in your matrix,that in this point is in a reduced row echelon form,the answer you already had:first line is (1 0 0 2),second line(0 1 0 -6), third line (0 0 1 4).The one´s correnspond to x , y and z. |
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Without resorting to matrices as Austin does in his answer, you can first multiply the last equation ($2x-y-9z=-26$) by an appropriate constant so that when you add it to the first equation ($7x+2y-5z=-18$), the $y$ variable is canceled. Repeat the process but this time add the last equation to the second equation ($x+5y-3z=-40$). Now you're left with 2 equations in two variables. Use this same process to multiply one of the equations by a constant so that when you add then two together, you eliminate the $x$ variable. Finally you have a single linear equation to solve for $z$. Once you have a value for $z$, plug that into your original equations and look for a way to multiply one equation by a constant to make a variable disappear. I do recommend using matrices over this method. This takes longer, looks messier,and the process isn't as algorithmic as using Gaussian elimination. EDIT I thought it might be useful to show you how to set this up using Gaussian elimination. At each step the indicated operation will use $R_1$ for row 1, $R_2$ for row 2, and $R_3$ for row 3. $$ \begin{bmatrix} 1&5&-3&-40\\2&-1&-9&-26\\7&2&-5&-18 \end{bmatrix} \xrightarrow{-2R_1+R_2} \begin{bmatrix} 1&5&-3&-40\\0&-11&-3&54\\7&2&-5&-18 \end{bmatrix} \xrightarrow{-7R_1+R_3} \begin{bmatrix} 1&5&-3&-40\\0&-11&-3&54\\0&-33&16&262 \end{bmatrix} \xrightarrow{-3R_2+R_3} \begin{bmatrix} 1&5&-3&-40\\0&-11&-3&54\\0&0&25&100 \end{bmatrix} \xrightarrow{\frac{1}{25}R_3} \begin{bmatrix} 1&5&-3&-40\\0&-11&-3&54\\0&0&1&4 \end{bmatrix} \xrightarrow{\text{skipping steps}} \begin{bmatrix} 1&0&0&2\\0&1&0&-2\\0&0&1&4 \end{bmatrix} $$ |
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One way is to write a corresponding matrix equation. Let $$ A = \left[ \begin{array}{ccc} 7 & 2 & -5\\ 1 &5 & -3\\ 2 & -1 & -9 \end{array} \right], $$ $$ X = \left[ \begin{array}{c} x\\ y\\ z \end{array} \right], $$ and $$ B = \left[ \begin{array}{c} -18\\ -40\\ -26 \end{array} \right]. $$ You should convince yourself that the system of linear equations is exactly the same as the matrix equation $$ AX = B. $$ Multiplying both sides on the left by $A^{-1}$ (matrix multiplication does not commute) gives $$ A^{-1}AX = A^{-1}B $$ which simplifies to $$ X = A^{-1}B. $$ You can use a calculator to evaluate this last line. Note $A^{-1}$ may not always exist (you will know this is the case if your calculator gives a message like "singular matrix"). In this situation, you have either an inconsistent system (no solutions) or a dependent system (infinitely-many solutions). To handle these kinds of systems, you should resort to Gauss-Jordan elimination. |
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We tag the equations for convenience: $$\tag 1 7x + 2y -5z = -18$$ $$\tag 2 x + 5y - 3z = -40$$ $$\tag 3 2x -y -9z = -26$$ We first perform $(1)-7\times(2)$ which gives $$\tag 4-33y+16z=262$$ Now we perform $2\times(1)-7\times (3)$, which gives $$\tag 5 11 y+ {53} z=146 $$ Now we make $11\times(4)+33\times (5)$, which gives $$1925z=7700$$ so $z=7700/1925=4$. And now it's just a "chain reaction". Note we chose the constants so that the first term cancelled out. This method is called Gaussian elimination, or Gauss-Jordan method. |
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