where A,X,B are of orders 3×3, 3×1, 3×1 respectively.
The derivation. If the system's solution exists, A must be non-singular, so A−1 exists (found either by the elementary-transformation method or the adjoint method of section 2.2). Pre-multiplying both sides of AX=B by A−1:
A−1(AX)=A−1(B)
i.e.(A−1A)X=A−1B
i.e.IX=A−1B
i.e.X=A−1B,
which gives the required solution -- every unknown is read off from the single matrix product A−1B.
Worked Example -- two equations. Solve 2x+5y=1 and 3x+2y=7 by the method of inversion. Writing AX=B with A=[2352], X=[xy], B=[17]: ∣A∣=2(2)−3(5)=4−15=−11, and adjA=[2−3−52], so A−1=−111[2−3−52]. Then
Worked Example -- three equations. Solve x−y+z=4, 2x+y−3z=0, x+y+z=2 by the method of inversion. The matrix equation is 121−1111−31xyz=402, i.e. AX=B. Here adjA=4−5120−2253 and ∣A∣=10, so A−1=1014−5120−2253. Then
Misc 2.3.1aSolved Examples 1-2 -- solving a two-variable and a three-variable system by the method of inversion
Worked out. Example 1 sets up two linear equations as AX=B, finds A^-1 by the adjoint formula, and multiplies A^-1 by B to read off both unknowns; Example 2 repeats the same three-step process (set up AX=B, find A^-1 via its adjoint and determinant, compute A^-1 B) for a three-equation, three-unknown system, reading off all three unknowns from the resulting column matrix. …