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Matrix and determinant//examples solved @ChemistryZone809
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Matrices and determinants are fundamental concepts in linear algebra. Here's a brief overview:
*Matrices:*
A matrix is a rectangular array of numbers, symbols, or expressions, arranged in rows and columns. For example:
| 1 2 3 |
| 4 5 6 |
| 7 8 9 |
Matrices can be used to represent systems of linear equations, linear transformations, and more.
*Determinants:*
The determinant of a square matrix (a matrix with the same number of rows and columns) is a scalar value that can be computed from the matrix's elements. It's denoted as det(A) or |A|.
The determinant has several key properties:
1. *Zero determinant*: If the determinant is zero, the matrix is singular (not invertible).
2. *Non-zero determinant*: If the determinant is non-zero, the matrix is invertible.
3. *Scalar multiplication*: The determinant of a matrix scaled by a scalar is equal to the scalar raised to the power of the matrix's dimension, multiplied by the original determinant.
Determinants are used in various applications, such as:
1. *Solving systems of linear equations*
2. *Finding the inverse of a matrix*
3. *Calculating the area or volume of a parallelogram or parallelepiped*
*Matrices:*
A matrix is a rectangular array of numbers, symbols, or expressions, arranged in rows and columns. For example:
| 1 2 3 |
| 4 5 6 |
| 7 8 9 |
Matrices can be used to represent systems of linear equations, linear transformations, and more.
*Determinants:*
The determinant of a square matrix (a matrix with the same number of rows and columns) is a scalar value that can be computed from the matrix's elements. It's denoted as det(A) or |A|.
The determinant has several key properties:
1. *Zero determinant*: If the determinant is zero, the matrix is singular (not invertible).
2. *Non-zero determinant*: If the determinant is non-zero, the matrix is invertible.
3. *Scalar multiplication*: The determinant of a matrix scaled by a scalar is equal to the scalar raised to the power of the matrix's dimension, multiplied by the original determinant.
Determinants are used in various applications, such as:
1. *Solving systems of linear equations*
2. *Finding the inverse of a matrix*
3. *Calculating the area or volume of a parallelogram or parallelepiped*