Concept understanding — Adjoint, Inverse and Solving Linear Equations
The adjointadj(A) is the transpose of A's cofactor matrix; for 2×2 it is the quick "swap the diagonal, negate the off-diagonal" shortcut. A matrix is singular if ∣A∣=0 (no inverse) and non-singular otherwise, with inverse A−1=∣A∣1adj(A), satisfying AA−1=I. …
A three-variable system is solved by forming the main coefficient determinant and three modified determinants, one for each unknown, then taking their ratios. …
Substituting the constants into the wrong column when forming Dy or Dz (a very common slip in three-variable Cramer's Rule); sign errors in the 3×3 cofactor expansion, which is exactly why a …
Input-output analysis, a matrix-based technique for modelling the interdependence of industries in an economy, was invented by Prof. Wassily W. Leontief.
In the Tamil Nadu HSC Class-11 Business Mathematics syllabus, the Matrices and Determinants chapter introduces input-output analysis as an application of matrices. In this model the inter-industry demand of an economy is written as a matrix equation X=AX+D, whose solution X=(I−A)−1D needs the matrix inverse.
Q.The number of Hawkin's-Simon conditions for the viability of an input-output analysis is :
(a) 4
(b) 1
(c) 2
(d) 3
›Reveal solutionSolution
The Hawkins-Simon conditions for the viability of an input-output model are two in number, so the answer is option (c) 2.
In Leontief's input-output analysis the technology matrix B (or the matrix I−A, where A is the coefficient matrix) must satisfy conditions that guarantee the system produces non-negative output levels able to meet the final demand.
The Hawkins-Simon conditions state that:
The main diagonal elements of (I−A) must be positive, and …