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System of Linear Equations | Linear Algebra
Mathematics for Data Analysis and Modeling

System of Linear EquationsSystem of Linear Equations

A system of linear equations (SLE) is a set of equations where each equation is a linear combination of variables. The goal is to find a solution that satisfies all the equations simultaneously.

Example

Let's look at the example of a system of linear equations:

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We have 3 unknown variables x, y and z and have 3 equations that include all of these variables.

Solving the system

How can we solve the system? Firstly, let's rewrite it in a matrix form:

content

Expressing the system of linear equations in matrix form provides us with a straightforward approach for solving the system utilizing the inverse matrix:

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To use this approach we have to be sure that matrix A can be inversed:
The square matrix A can be inversed if and only if its determinant is nonzero.

Example 1

We have found the solution using the inverted matrix.

Example 2

The code above produces an error - the matrix is singular (has zero determinant) so we can't solve the system of equations.
The explanation for this is quite simple: the matrix rows are linearly dependent (the third row is the sum of the first two). As a result, the third equation doesn't provide any additional information, and we are left with a system of 3 variables but only 2 unique equations. As a result such a system either have no solutions or there are lots of solutions.

Все було зрозуміло?

Секція 2. Розділ 7
course content

Зміст курсу

Mathematics for Data Analysis and Modeling

System of Linear EquationsSystem of Linear Equations

A system of linear equations (SLE) is a set of equations where each equation is a linear combination of variables. The goal is to find a solution that satisfies all the equations simultaneously.

Example

Let's look at the example of a system of linear equations:

content

We have 3 unknown variables x, y and z and have 3 equations that include all of these variables.

Solving the system

How can we solve the system? Firstly, let's rewrite it in a matrix form:

content

Expressing the system of linear equations in matrix form provides us with a straightforward approach for solving the system utilizing the inverse matrix:

content

To use this approach we have to be sure that matrix A can be inversed:
The square matrix A can be inversed if and only if its determinant is nonzero.

Example 1

We have found the solution using the inverted matrix.

Example 2

The code above produces an error - the matrix is singular (has zero determinant) so we can't solve the system of equations.
The explanation for this is quite simple: the matrix rows are linearly dependent (the third row is the sum of the first two). As a result, the third equation doesn't provide any additional information, and we are left with a system of 3 variables but only 2 unique equations. As a result such a system either have no solutions or there are lots of solutions.

Все було зрозуміло?

Секція 2. Розділ 7
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