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(0) is a lower- Consider the matrix equation Lx u, where L triangular square matrix and x = (p and u = (u) are column vecto

Solve the n equations for the n variables x1,x2, . . . , rn respectively. 1-12, .

Example 97 We can find general formulas that characterize the procedure used in the previous example. Suppose we want to solv

(0) is a lower- Consider the matrix equation Lx u, where L triangular square matrix and x = (p" and u = (u)' are column vectors. In view of Example 97:
Solve the n equations for the n variables x1,x2, . . . , rn respectively. 1-12, .
Example 97 We can find general formulas that characterize the procedure used in the previous example. Suppose we want to solve the equation Ux = v, where x = (x)' and v-(v)' are column vectors. Then we may write the system of equations corresponding to this matrix equation as: n. We may solve these n equations for the n variables 1, 2,... . Xn respectively: 1 1 n. n. Now, beginning at the last equation and working back to the first, we may solve for the variables z',z"-1, . . .12.ri one by one, as long as u; 0 for all J-1, . . . ,n. There is a similar formula for the solution of Lx = v, which we leave as an exercise
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