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Linear systems of equations 21/03

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Linear systems of equations 21/03

Summary

Here is a linear system of m equations in n unknowns:

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a11x1+ · · · + a1nxn = b1 a21x1+ · · · + a2nxn = b2

· · ·

· · ·

am1x1+ · · · + amnxn = bm.

It is equivalent to the single matrix equation

AX = B

(also written A x = b ) (1) where

A = (aij) ∈ Rm,n

is the matrix of assigned coefficients visible on the left (so i = 1, . . . , m and j = 1, . . . , n ),

X = (xj) ∈ Rn,1

is the column of unknowns (variables), and B = (bi) ∈ Rm,1

is the column of assigned numbers on the right.

A solution is merely a column vector X satisfying (1);

it represents one set of values of x1, . . . , xn satisfying all m equations simultaneously. The system is said to be inconsistent (or the equations incompatible) if there is no such solution.

The system is homogeneous if B = 0. This always has the trivial solution X = 0, meaning x1 = · · · = xn = 0 . There may or may not be other solutions.

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