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The rows and columns of determinants have equal rights, that is, . Proof: The property follows from the definition of determinants. Really, is the sum of the same terms as . The only difference between them is the order of the terms that does not influence the value of the sum.
Multiplying any row or column of a determinant by a number , multiplies the determinant by that number:
This means that the common factor of a row (or column) can be taken outside the sign of a determinant. Proof: Every term of the sum
contains one and only one element of a given row or column of the determinant. If the row (or column) is multiplied by a number, each the term is multiplied by that number.
Interchanging any two rows (or columns) of a matrix changes the sign of the determinant:
Proof: By Theorem 1, any transposition changes the inversion parity of a given permutation. Therefore, each term of the sum
changes its sign.
If a determinant has a zero-row or zero-column then the determinant is equal to zero:
Proof: Every product of the sum
contains a zero factor and so equals zero.
If a determinant has two rows (or columns) equal then the determinant is equal to zero:
Proof: If the two identical rows (or columns) are interchanged, then by Property 3 the determinant changes its sign. On the other hand, the rows (or columns) are equal and so the determinant must keep its value:
If two rows (or columns) of a determinant are proportional to each other then the determinant is equal to zero:
Proof: Multiplying the i-th row of the determinant by the constant of proportionality we obtain the determinant with equal rows.
If each element of a row (or column) of a determinant is the sum of two items then
Proof:
A determinant holds its value if a row (column) multiplied by a number is added to another one:
Proof: The determinant on the right side hand can be represented as the sum of two determinant, one of which contains two rows proportional and so equals zero.
The determinant of a triangular matrix is equal to the product of the diagonal elements:
In particular, the determinant of an identity matrix is equal to unity. Proof: There is only a single non-zero element a1,1 on the first column. Then we have to ignore the first row and chose a non-zero element on the second column that is a2,2. Likewise, on the third column we can take only the element a3,3to get a non-zero product of elements, and so on. Therefore, all appropriate permutations of indexes give a zero yield to the determinant except the product of the diagonal elements. |