Question
Question: The cost of 4 kg potato, 3 kg wheat and 2 kg of rice is Rs. 60. The cost of 1 kg potato, 2 kg wheat,...
The cost of 4 kg potato, 3 kg wheat and 2 kg of rice is Rs. 60. The cost of 1 kg potato, 2 kg wheat, and 3 kg rice is Rs. 45. The cost of 6 kg potato, 2 kg wheat, and 3 kg rice is Rs. 70. Find the cost of each item per kg by matrix method.
Solution
Hint: Assume that the cost of potato, wheat, and rice per kg is Rs. x, Rs. y, and Rs. z respectively. It is given that the cost of 4 kg potato, 3 kg wheat, and 2 kg of rice is Rs. 60. The cost of 1 kg potato, 2 kg wheat, and 3 kg rice is Rs. 45. The cost of 6 kg potato, 2 kg wheat, and 3 kg rice is Rs. 70. Now, form mathematical equations. Our system of linear equations is 4x+3y+2z=60 , x+2y+3z=45 , and 6x+2y+3z=70 . Express it in the form of AX=B , where A= 4 321 236 23 , X=x y z , and B=60 45 70 . Now check for consistency of these equations by getting the determinant value of matrix A. Solving further the equation AX=B , we get X=A−1B . Now, we need the value of A−1 . We know the formula, A−1=∣A∣adj[A] . The adjoint matrix is obtained after interchanging the rows with the columns of the cofactor matrix. Now, put the value of A−1 , X and B in the equation X=A−1B and solve it further.
Complete step by step solution:
First of all, let us assume the cost of potato, wheat, and rice per kg be Rs. x, Rs. y, and Rs. z respectively.
We have the cost of 4 kg potato, 3 kg wheat, and 2 kg of rice are Rs. 60. Expressing it in a mathematical equation, we get
4x+3y+2z=60 ……………………………….(1)
We have the cost of 1 kg potato, 2 kg wheat, and 3 kg of rice is Rs. 45. Expressing it in a mathematical equation, we get
x+2y+3z=45 ……………………………….(2)
We have the cost of 6 kg potato, 2 kg wheat, and 3 kg of rice is Rs. 70. Expressing it in a mathematical equation, we get
6x+2y+3z=70 ……………………………….(3)
Now, from equation (1), equation (2), and equation (3), we have the system of equations,
4x+3y+2z=60
x+2y+3z=45
6x+2y+3z=60
We can express these systems of equations in the form of matrices.