# Question: solve the following set of equations using numpys linear algebra...

###### Question details

Solve the following set of equations using numpy’s linear algebra capabilities as well as on paper

- First, on paper, put the equation in the form
. Remember, each column of the coefficient matrix*Ax=b*represents coefficients of one of the variables. You’ll need to rewrite the equations above in that format before creating the A matrix.*A* - Next, create arrays in Python for the
and*A*matrices.*b* - Use numpy’s solve() function to solve for the
matrix. Record the results on paper.*x* - Finally, verify the solution by printing the matrix product
to show that it is indeed*Ax*.*b* - Just for fun, calculate
, the inverse of*A*^{-1}. Show that the product*A**A*^{-1}gives the same result for*b**x***.**Record the result on paper.