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Solving Linear Equations - Matrix Algebra, CSIR-NET Mathematical Sciences | Mathematics for IIT JAM, GATE, CSIR NET, UGC NET PDF Download

The matrix method of solving systems of linear equations is just the elimination method in disguise. By using matrices, the notation becomes a little easier.

Suppose you have a system of linear equations such as:

Solving Linear Equations - Matrix Algebra, CSIR-NET Mathematical Sciences | Mathematics for IIT JAM, GATE, CSIR NET, UGC NET

The first step is to convert this into a matrix. Make sure all equations are in standard form Solving Linear Equations - Matrix Algebra, CSIR-NET Mathematical Sciences | Mathematics for IIT JAM, GATE, CSIR NET, UGC NET and use the coefficients of each equation to form each row of the matrix. It may help you to separate the right column with a dotted line.

Solving Linear Equations - Matrix Algebra, CSIR-NET Mathematical Sciences | Mathematics for IIT JAM, GATE, CSIR NET, UGC NET

Next, we use the matrix row operations to change the 2×2 matrix on the left side to the identity matrix . First, we want to get a zero in Row 1 , Column 2 . So, add 4 times Row 2 to Row 1 .

Solving Linear Equations - Matrix Algebra, CSIR-NET Mathematical Sciences | Mathematics for IIT JAM, GATE, CSIR NET, UGC NET

Next we want a 1 in the top left corner.

Solving Linear Equations - Matrix Algebra, CSIR-NET Mathematical Sciences | Mathematics for IIT JAM, GATE, CSIR NET, UGC NET

Now we want a zero in the bottom left corner.

Solving Linear Equations - Matrix Algebra, CSIR-NET Mathematical Sciences | Mathematics for IIT JAM, GATE, CSIR NET, UGC NET

Finally, we want a 1 in Row 2 , Column 2 .

Solving Linear Equations - Matrix Algebra, CSIR-NET Mathematical Sciences | Mathematics for IIT JAM, GATE, CSIR NET, UGC NET

Now that we have the 2×2 identity matrix on the left, we can read off the solutions from the right column:

x = 3

y = -1

The same method can be used for nn linear equations in n unknowns; in this case you would create an n×(n−1) matrix, and use the matrix row operations to get the identity n×n matrix on the left side.

Important Note: If the equations represented by your original matrix represent parallel lines, you will not be able to get the identity matrix using the row operations. In this case, the solution either does not exist or there are infinitely many solutions to the system.

The document Solving Linear Equations - Matrix Algebra, CSIR-NET Mathematical Sciences | Mathematics for IIT JAM, GATE, CSIR NET, UGC NET is a part of the Mathematics Course Mathematics for IIT JAM, GATE, CSIR NET, UGC NET.
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FAQs on Solving Linear Equations - Matrix Algebra, CSIR-NET Mathematical Sciences - Mathematics for IIT JAM, GATE, CSIR NET, UGC NET

1. What is matrix algebra in the context of solving linear equations?
Ans. Matrix algebra is a branch of mathematics that deals with the manipulation and study of matrices. In the context of solving linear equations, matrix algebra provides a systematic way to represent and solve a system of linear equations using matrix operations such as addition, subtraction, multiplication, and inverse.
2. How can matrix algebra be used to solve linear equations?
Ans. Matrix algebra allows us to represent a system of linear equations as a matrix equation of the form AX = B, where A is the coefficient matrix, X is the variable matrix, and B is the constant matrix. We can then use various matrix operations, such as row operations and matrix inversion, to simplify the equation and find the values of the variables.
3. What is the importance of matrix inversion in solving linear equations using matrix algebra?
Ans. Matrix inversion is an important operation in solving linear equations using matrix algebra because it allows us to find the inverse of a matrix. The inverse of a matrix A, denoted as A^-1, has the property that when it is multiplied by A, the result is the identity matrix I. Using matrix inversion, we can solve a system of linear equations by multiplying both sides of the matrix equation AX = B by A^-1 to isolate the variable matrix X.
4. Can matrix algebra be used to solve non-linear equations as well?
Ans. No, matrix algebra is specifically designed for solving linear equations. Non-linear equations involve variables raised to powers other than 1 and cannot be represented or solved using matrix operations alone. Non-linear equations require specialized methods such as numerical methods, iterative techniques, or calculus-based approaches for finding their solutions.
5. How can matrix algebra be applied in practical applications beyond solving linear equations?
Ans. Matrix algebra has numerous practical applications beyond solving linear equations. It is widely used in various fields such as computer graphics, data analysis, optimization problems, cryptography, physics, and engineering. Matrix algebra provides a convenient and efficient way to represent and manipulate data, perform transformations, and solve complex problems in these domains.
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