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Linear Equation System Using Determinants

The topic on the explanation of Linear Equation System Using Determinants will look at the concept of linear equations concerning determinants and matrix.

A Linear equation is a mathematical branch that consists of a singular or more than one linear equation with the same group of variables. It would be easier to understand, when one assumes that there exist three equations with three variables- like a, b, and c. The fundamental portion of linear equation in the field of mathematics is a theory within the linear system, which is a subject used in the majority portion of modern mathematics. The system and concept of the linear equation can be understood with the help of determinants and the matrix method. This procedure is commonly known as the Cramer’s rule. 

Before we move on with the concept of linear equations using determinants, let us look at the meaning of determinants. Determinants are calculated with the help of a square matrix. Singular determinants are the determinants with a zero matrix. The matrices are usually ordered in a rectangular manner with arrays of numbers. These matrices are later useful in expressing linear equations. These matrices use several operations of mathematics- subtraction, addition, multiplication, and division. 

Explanation using sample equations

The system and concept of the linear equation can be understood with the help of determinants and the matrix method. This procedure is commonly known as the Cramer’s rule. However, the Cramer’s rule is comparatively slow, as this rule requires us to find the solutions to each of the variables in the equations. 

The Cramer’s rule can be explained with the help of the following relation-

Let there be two equations as m1x + n1y + d1 = 0 and  m2x + n2y + d2 = 0

Now, if these equations are consistent in nature- the equation will have solutions. These solutions can be of Unique or infinite number of solutions. 

  • Unique solutions: The given equations will have intersecting lines. The solution will be of  m2 n1 – n2 m1 = 0. 
  • Infinite Solutions: The given equations will represent the coincident lines. The solutions will be such that the ratio of each of the respective variables- m1 and m2, n1 and n2, d1and d2 – will be equal. 
  • When linear equations with three variables are solved using the determinant and matrix method, then if the variables satisfy the third equation in terms of the “z”, then the equations are consistent and have many solutions. 
  • When linear equations with three variables are solved using the determinant and matrix method, then if the variables do not satisfy the third equation in terms of the “z”, then the equations are inconsistent and have no solutions. 

And, if the given equations are found to be inconsistent in nature- the equation will have no precise solutions. In this case, the equations will point out parallel lines which are disjoint in nature. 

  • The solutions will be such that the ratio of the variables will equal; however, the ratio of the respective variables with the constants will be unequal. That is,   the ratio of  m1 and m2,  n1 and n2  will be equal. However, the ratio of d1and d2 will not be equal to them. 

Now, let us look at the linear equations which are homogeneous in nature. The homogeneous equations will have no less than one solution. When the solutions for homogeneous equations will have a nontrivial solution, then it will have an infinite number of solutions. 

Conclusion

The linear equation is a mathematical branch that consists of a singular or more than one linear equation with the same group of variables. The fundamental portion of linear equation in the field of mathematics is a theory within the linear system, which is a subject used in the majority portion of modern mathematics. The system and concept of the linear equation can be understood with the help of determinants and the matrix method. This procedure is commonly known as the Cramer’s rule. There also exist homogeneous linear equations. The homogeneous equations will have no less than one solution. 

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