Best Answer

Both matrix and determinants are the part of business mathematics. Both are useful for solving business problem. Both are helpful for calculation of each other. For calculation of inverse of matrix, we need to calculate the determinant. For calculating the value of 3X3 matrix or more matrix, we need to divide determinants in sub-matrix. but there are many differences between matrix and determinants which we can explain in following points.

1. Matrix is the set of numbers which are covered by two brackets. Determinants is also set of numbers but it is covered by two bars.

2. It is not necessary that number of rows will be equal to the number of columns in matrix. But it is necessary that number of rows will be equal to the number of columns in determinant.

3. Matrix can be used for adding, subtracting and multiplying the coefficients. Determinant can be used for calculating the value of x, y and z with Cramer's Rule.

By Er. Hafijullah

Q: What is the difference between matrices and determinants?

Write your answer...

Submit

Still have questions?

Continue Learning about Math & Arithmetic

No. Determinants are only defined for square matrices.No. Determinants are only defined for square matrices.

actually MATRICES is the plural of matrix which means the array of numbers in groups and columns in a rectangular table... and determinant is used to calculate the magnitude of a matrix....

In math, the purpose of Cramer's rule is to be able to find the solution of a system of linear equations by using determinants and matrices. Cramer's rule makes it easy to find a system of equations that have many unknown variables.

The matrices must have the same dimensions.

Only square matrices have a determinant

Related questions

ggdjhfgujpkj

No. Determinants are only defined for square matrices.No. Determinants are only defined for square matrices.

H. W. Turnbull has written: 'Introduction to the theory of canonical matrices' -- subject(s): Matrices, Transformations (Mathematics) 'The great mathematicians' 'the theory of determinants, matrices anD invariants' 'An introduction to the theory of canonical matrices' -- subject(s): Matrices, Transformations (Mathematics) 'The theory of determinants, matrices, and invariants' -- subject(s): Determinants, Matrices, Invariants 'Some memories of William Peveril Turnbull' 'The mathematical discoveries of Newton' -- subject(s): Mathematics, History

actually MATRICES is the plural of matrix which means the array of numbers in groups and columns in a rectangular table... and determinant is used to calculate the magnitude of a matrix....

The square matrix have determinant because they have equal numbers of rows and columns. <<>> Determinants are not defined for non-square matrices because there are no applications of non-square matrices that require determinants to be used.

V. L. Girko has written: 'Theory of random determinants' -- subject(s): Determinants, Stochastic matrices 'An introduction to statistical analysis of random arrays' -- subject(s): Eigenvalues, Multivariate analysis, Random matrices

Matrices can't be "computed" as such; only operations like multiplication, transpose, addition, subtraction, etc., can be done. What can be computed are determinants. If you want to write a program that does operations such as these on matrices, I suggest using a two-dimensional array to store the values in the matrices, and use for-loops to iterate through the values.

Determinants are mathematical values associated with square matrices that reveal important information about the matrix, such as invertibility and solutions to systems of linear equations. The determinant of a 2x2 matrix is found by subtracting the product of the diagonals, while for larger matrices, it involves more complex calculations.

A determinant is defined only for square matrices, so a 2x3 matrix does not have a determinant.Determinants are defined only for square matrices, so a 2x3 matrix does not have a determinant.

S. Marlow has written: 'Fortran subroutines for the solution of linear equations, inversion of matrices and evaluation of determinants' 'Fortran subroutines for the solution of linear equations' 'Flexible specialisation and the large enterprise'

In math, the purpose of Cramer's rule is to be able to find the solution of a system of linear equations by using determinants and matrices. Cramer's rule makes it easy to find a system of equations that have many unknown variables.

Only square matrices have inverses.