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If two rows of a determinant are interchanged what is true of the resulting determinant?
The resulting determinate is the negative, or opposite, of the original determinant.
What is the minor of determinant?
The minor is the determinant of the matrix constructed by removing the row and column of a particular element. Thus, the minor of a34 is the determinant of the matrix which has all the same rows and columns, except for the 3rd row and 4th column.
When can you not invert a matrix?
If it is not a square matrix. You cannot invert a square matrix if it is singular. That means that at least one of the rows of the matrix can be expressed as a linear combination of the other rows. A simple test is that a matrix cannot be inverted if its determinant is zero.
Why only square matrix have determinant?
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.
How many minors are there of a 3x4 order matrix?
Well, honey, a 3x4 matrix has 12 elements in total. So, technically speaking, there are 12 minors in a 3x4 order matrix. But let's be real, who's counting all those minors anyway? Just remember, when it comes to matrices, size does matter.
If two rows of a determinant are interchanged what is true of the resulting determinant?
The resulting determinate is the negative, or opposite, of the original determinant.
A rectangular arrangement of numbers in rows and columns?
It is a matrix or a determinant.
What is the minor of determinant?
The minor is the determinant of the matrix constructed by removing the row and column of a particular element. Thus, the minor of a34 is the determinant of the matrix which has all the same rows and columns, except for the 3rd row and 4th column.
When can you not invert a matrix?
If it is not a square matrix. You cannot invert a square matrix if it is singular. That means that at least one of the rows of the matrix can be expressed as a linear combination of the other rows. A simple test is that a matrix cannot be inverted if its determinant is zero.
When is a square matrix said to be diagonisable?
When its determinant is non-zero. or When it is a linear transform of the identity matrix. or When its rows are independent. or When its columns are independent. These are equivalent statements.
Why only square matrix have determinant?
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.
Why is matrix named matrix?
Matrix derives from Latin "Mater" which means "mother". It was called this because the determinant, which is very central to matrix mathematics, changes when we remove columns or rows, so with simple words it's because a little matrix can be a part of a larger matrix.
What is the value of the determinant if the corresponding elements of two rows of a determinant are proportional?
If two rows of a determinant are proportional, the value of the determinant is zero. This is because proportional rows indicate that one row can be expressed as a scalar multiple of the other, leading to linear dependence. Consequently, the determinant, which measures the volume of the parallelepiped formed by the rows, collapses to zero.
What does determine mean in maths?
In Algebra, the word determinant is a special number which is associated to any square matrix. Like for example, a rectangular array of numbers where the finite number of rows and columns are equal. Therefore, the meaning of a determinant is a scale factor for measuring wherever the matrix is regarded.
If any two rows or columns of a determinant are identical the value of the determinant becomes?
The Value of the Determinant becomes 0
What is the difference between matrices and determinants?
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
Why matrix multipliucation is possible by row vs column?
Matrix multiplication is possible by row versus column because it involves taking the dot product of the rows of the first matrix with the columns of the second matrix. Each element of the resulting matrix is computed by summing the products of corresponding entries from a row of the first matrix and a column of the second matrix. This operation aligns with the definition of matrix multiplication, where the number of columns in the first matrix must equal the number of rows in the second matrix. Thus, the row-column pairing enables systematic computation of the resulting matrix's elements.
