The common pitfall is attempting to calculate the matrix
A directly. Instead, we utilize the fundamental relationship:
X=A−1B
Recalling the definition of the inverse matrix,
A−1=∣A∣1adj A, we can rewrite the system as:
X=∣A∣1(adj A)B
To find
∣A∣, we employ the standard property of determinants:
∣adj A∣=∣A∣n−1
Given that our matrix is
3×3, we have
n=3, which simplifies the relation to
∣adj A∣=∣A∣2. Calculating the determinant of the provided adjoint matrix:
∣adj A∣=4(0−(−10))−2(−15−5)+2(10−0)=40+40+20=100
Since
∣A∣2=100, we must account for both possible roots:
∣A∣=±10
We calculate the product of the adjoint matrix and the constant matrix
B:
Substituting this into our master equation, we obtain:
This yields the individual variables:
x=±1020,y=±10−10,z=±1010
To find
∣x+y+z∣, we sum the components first:
x+y+z=±101(20−10+10)=±1020=±2
Taking the absolute value of the result:
∣±2∣=2