Manual Linear algebra c-1 - Linear equations, matrices and determinants

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Linear equations, matrices and determinants
Contents:
  1. Determinant
  2. Linear Systems of Two Variables and Cramer’s Rule
  3. The Matrix and Solving Systems with Matrices – She Loves Math
  4. Primary Sidebar

From the last enquiry,.

Determinant

Case I. In this case we have,. Hence unique value of x, y, z will be obtained. System of homogeneous linear equations. A system of linear equations is said to be homogenous if sum of the powers of the variables in each term is same.

In other words we can say that if constant term is a zero in a system of linear equations. Let's consider the system of linear homogeneous equations to be. This solution is known as trivial solution. For non-trivial solution, consider first two equations from above system. This is required condition for the above system of above homogeneous linear equations to have non-trivial solution.

For non-trivial solution i. The system has no solution.

Homogeneous Systems of Linear Equations - Trivial and Nontrivial Solutions, Part 1

We also provide Study material and you can come and read them free of cost from home just by visiting askIITians. Also browse for more study materials on Mathematics here. Dear , Preparing for entrance exams? In this section, we introduce a theorem which enables us to solve a system of linear equations by means of determinants only.

The proof of the general case is best left to a course in Linear Algebra. The following example fleshes out this method.

Linear Systems of Two Variables and Cramer’s Rule

Our last application of determinants is to develop an alternative method for finding the inverse of a matrix. This is no coincidence.


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In other words, we are solving three equations the reader is encouraged to stop and think this through. We can solve each of these systems using Cramer's Rule.

The Matrix and Solving Systems with Matrices – She Loves Math

Focusing on the first system, we have. We're not going to get into column operations in this text, but they do make some of what we're trying to say easier to follow. Cramer's Rule tells us. So by calculating the inverse of the matrix and multiplying this by the vector b we can find the solution to the system of equations directly. And from earlier we found that the inverse is given by.

Primary Sidebar

From the above it is clear that the existence of a solution depends on the value of the determinant of A. There are three cases:. Starting with equation below,. The first term x 1 above can be found by replacing the first column of A by.