find determinant 3x3 matrix using shortcut easy method for GATE 20017 PSU'S EXAM

    Find determinant 3x3 matrix using shortcut easy method

How to find determinant 3x3 matrix using shortcut easy method for GATE 20017 PSU'S EXAM

This article is about determinants in mathematics. For determinants in epidemiology, see risk factor.

In linear algebra, the determinant is a useful value that can be computed from the elements of a square matrix. The determinant of a matrix A is denoted det(A), detA , or |A|. It can be viewed as the scaling factor of the transformation described by the matrix.
In the case of a 2 × 2 matrix, the specific formula for the determinant:

${\displaystyle {\begin{aligned}|A|={\begin{vmatrix}a&b\\c&d\end{vmatrix}}=ad-bc.\end{aligned}}}$

Similarly, suppose we have a 3 × 3 matrix A, and we want the specific formula for its determinant |A|:

${\displaystyle {\begin{aligned}|A|={\begin{vmatrix}a&b&c\\d&e&f\\g&h&i\end{vmatrix}}&=a\,{\begin{vmatrix}e&f\\h&i\end{vmatrix}}-b\,{\begin{vmatrix}d&f\\g&i\end{vmatrix}}+c\,{\begin{vmatrix}d&e\\g&h\end{vmatrix}}\\&=aei+bfg+cdh-ceg-bdi-afh.\end{aligned}}}$

Each determinant of a 2 × 2 matrix in this equation is called a "minor" of the matrix A. The same sort of procedure can be used to find the determinant of a 4 × 4 matrix, the determinant of a 5 × 5 matrix, and so forth.
Determinants occur throughout mathematics. For example, a matrix is often used to represent the coefficients in a system of linear equations, and the determinant can be used to solve those equations, although more efficient techniques are actually used, some of which are determinant-revealing and consist of computationally effective ways of computing the determinant itself. The use of determinants in calculus includes the Jacobian determinant in the change of variables rule for integrals of functions of several variables. Determinants are also used to define the characteristic polynomial of a matrix, which is essential for eigenvalue problems in linear algebra. In analytical geometry, determinants express the signed n-dimensional volumes of n-dimensional parallelepipeds. Sometimes, determinants are used merely as a compact notation for expressions that would otherwise be unwieldy to write down.

When the entries of the matrix are taken from a field (like the real or complex numbers), it can be proven that any matrix has a unique inverse if and only if its determinant is nonzero. Various other theorems can be proved as well, including that the determinant of a product of matrices is always equal to the product of determinants; and, the determinant of a Hermitian matrix is always real.





FIND EIGENVALUES OF 3X3 MATRIX USING SHORTCUT

• SUM OF EIGEN VALUE   = TRACE SUM OF DIAGONAL VALUE

                                                  = 1+5+1=7

• PRODUCT OF EIGEN VALUE  =  det(A)  =   determinant of A                                                                                            =  (1x5x1+1x1x3+3x1x1) - (3x5x3+1x1x1+1x1x1)

                                                            =  ( 11 - 47 ) = - 36  

         Answer (c) = -2,3,6

        beacause :- SUM              = -2+3+6= 7

                         PRODUCT    = -2x3x6 =  -36

Definition: A scalar λ is called an eigenvalue of the n × n matrix A is there is a nontrivial solution x of Ax = λx. Such an x is called an eigenvector corresponding to the eigenvalue λ.
FORE MORE EIGEN VALUE   CLICK HERE