. Let \(\Delta=\begin{vmatrix}1+a^{2}-b^{2} & 2 a b & -2 b \\ 2 a b & 1-a^{2}+b^{2} & 2 a \\ 2 b & -2 a & 1-a^{2}-b^{2}\end{vmatrix}\)
Apply \(C_{1} \rightarrow C_{1}-b C_{3}\) and \(C_{2}\)
\(\rightarrow a C_{3}+C_{2}\)
\(\Delta=\begin{vmatrix}1+a^{2}-b^{2}+2 b^{2} & 2 a b-2 a b & -2 b \\ 2 a b-2 a b & 1-a^{2}+b^{2}+2 a^{2} & 2 a \\ 2 b-b+a^{2} b+b^{3} & -2 a+a-a^{3}-a b^{2} & 1-a^{2}-b^{2}\end{vmatrix}\)
\(=\begin{vmatrix}\left(1+a^{2}+b^{2}\right) & 0 & -2 b \\ 0 & \left(1+a^{2}+b^{2}\right) & 2 a \\ b\left(1+a^{2}+b^{2}\right) & -a\left(1+a^{2}+b^{2}\right) & \left(1-a^{2}-b^{2}\right)\end{vmatrix}\)
\(=\left(1+a^{2}+b^{2}\right)^{2}\begin{vmatrix}1 & 0 & -2 b \\ 0 & 1 & 2 a \\ b & -a & \left(1-a^{2}-b^{2}\right)\end{vmatrix}\)
\(=\left(1+a^{2}+b^{2}\right)^{2}\left\{\left(1-a^{2}-b^{2}+2 a^{2}\right)+2 b^{2}\right\}\)
\(=\left(1+a^{2}+b^{2}\right)^{2}\left(1+a^{2}+b^{2}\right)=\left(1+a^{2}+b^{2}\right)^{3}\)
Determinants have several characteristics that are highly helpful since they enable us to produce the same outcomes using various and less complex entry (element) combinations. These determinant features make it easier to evaluate by ensuring that there are never more than a certain number of zeros in a row or column. For determinants of any order, these characteristics are true.
The major characteristics of determinants are the following ten: reflection, all-zero, proportionality or repetition, switching, scalar multiple, sum, invariance, factor, triangle, and cofactor matrix features.
A square matrix's decimal value is a determinant. We can assign a real or complex integer to every square matrix. The determinant of the square matrix is this particular integer. It may be viewed as a mapping function that links a certain real or complex integer to a square matrix.
As a result, we can state that a square matrix A with order 'n' and the same number of rows and columns will contain a single real or complex integer that encapsulates significant matrix information. The square matrix A's determinant is represented by this integer. Denoted by det A or |A|.
A determinant can be defined in many ways for a square matrix.
The first and most simple way is to formulate the determinant by taking into account the top-row elements and the corresponding minors. Take the first element of the top row and multiply it by its minor, then subtract the product of the second element and its minor. Continue to alternately add and subtract the product of each element of the top row with its respective min or until all the elements of the top row have been considered.
For example let us consider a 1×1 matrix A.
A=[a1…….an]
Read More: Properties of Determinants
Second Method to find the determinant:
The second way to define a determinant is to express in terms of the columns of the matrix by expressing an n x n matrix in terms of the column vectors.
Consider the column vectors of matrix A as A = [ a1, a2, a3, …an] where any element aj is a vector of size x.
Then the determinant of matrix A is defined such that
Det [ a1 + a2 …. baj+cv … ax ] = b det (A) + c det [ a1+ a2 + … v … ax ]
Det [ a1 + a2 …. aj aj+1… ax ] = – det [ a1+ a2 + … aj+1 aj … ax ]
Det (I) = 1
Where the scalars are denoted by b and c, a vector of size x is denoted by v, and the identity matrix of size x is denoted by I.
Read More: Minors and Cofactors
We can infer from these equations that the determinant is a linear function of the columns. Further, we observe that the sign of the determinant can be interchanged by interchanging the position of adjacent columns. The identity matrix of the respective unit scalar is mapped by the alternating multi-linear function of the columns. This function is the determinant of the matrix.