The calculator solves systems of simultaneous linear equations by applying Gaussian Elimination and row-reduction (RREF) operations. It converts the given system into an augmented matrix, performs step-by-step row operations, and simplifies it to find the solution.
Our tool helps you in many ways, such that:
✔️ It quickly reduces matrices without manual calculations, saving you time.
✔️ Displays step-by-step solution, which helps to understand the row operations easily.
✔️ Handles complex calculations that reduce any human error
✔️ Helps students and educators visualize how augmented matrices are used in solving equations.
An augmented matrix is a method by which a system of linear equations is represented in an organized way to find its solution.
You can make an augmented matrix by combining two matrices:
Suppose we have the following system of equations:
2x + y - z = 5
x - 3y + 2z = -1
Its augmented matrix is given as:
[ 2 1 -1 | 5 ]
[ 1 -3 2 | -1 ]
Entering these entities in our augmented matrix calculator lets you get accurate values for variables ‘x’ and ‘y’, which satisfies the given equations as well.
Let us assume that there is “m” column in the first matrix and “n” column in the second matrix then in the augmented matrix there would be m + n columns. Look at the three linear equations to understand the concept of
a1x + b1y + c1z = d1
a2x + b2y + c2z = d2
a3x + b3y + c3z = d3
Matrix of coefficient -A =
$$ \begin{bmatrix}a_1&b_1&c_1\\a_2&b_2&c_2\\a_3&b_3&c_3\end{bmatrix} $$
Matrix of constant -B =
$$ \begin{bmatrix}d_1\\d_2\\d_3\end{bmatrix} $$
Matrix of variable -C =
$$ \begin{bmatrix}x\\y\\z\end{bmatrix} $$
This augmented matrix calculator 2x3 has the capability to enhance your calculations but manual calculations are also important. To understand the manual calculations look at the example below.
Assume that there is the following system of linear equations:
4x + 5y = 12
7x + 11y = 10
$$ \begin{bmatrix}4 & 5 & 12 \\ 7 & 11 & 10 \\\end{bmatrix} $$
Divide row 0 by 4: R0 = R0/4
$$ \left[ \begin{array}{cc|c}1& \frac{5}{4}&3 \\ 7&11&10 \\\end{array}\right] $$
In an augmented matrix, the vertical line is placed to indicate the series of equal signs and divide the term into two sides.
Subtract row 1 multiplied by 7 from row R0: R1 = R1 - 7R0
$$ \left[\begin{array}{cc|c}1& \frac{5}{4}&3 \\ 0& \frac{9}{4}&-11 \\\end{array}\right] $$
Multiply row 1 by 4/9: R1 = 4/9 R1
$$ \left[\begin{array}{cc|c}1& \frac{5}{4}&3 \\0&1& \frac{-44}{9} \\\end{array}\right] $$
Subtract row 0 multiplied by 5/4 from row R1: R0 = R0 - 5/4R1
$$ \left[\begin{array}{cc|c}1&0& \frac{82}{9}\\0&1& \frac{-44}{9}\\\end{array}\right] $$
The maximum input size of the matrix supported by our augmented matrix calculator is 10 x 10.
No, the tool does not solve for any complex numbers.
Gaussian elimination is simply an iterative method to solve a system of simultaneous linear equations to find the solution to the given variables.
Vertical lines are used in the matrix to indicate the series of equal signs and it divides the term into two sides.
If the determinant is equal to zero then we say that it is linearly dependent
If the determinant is not equal to zero then it is linearly independent.
From the source Wikipedia: Augmented matrix, To find the inverse of a matrix, Existence, and number of solutions, Solution of a linear system.
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