Analyzing the Setup
Welcome, future engineers! Today, we are going to peel back the layers of a classic linear algebra problem. Imagine you are standing in a 3D room, and these three equations represent three planes.
Consistency is simply the question: "Do these planes meet?" If they meet at a single point, the system is consistent with a unique solution. If they meet along a line or coincide, they are still consistent, but with infinitely many solutions. If they never meet, the system is inconsistent.
Our goal is to find the values of k for which this system is consistent.
The Determinant as a Gatekeeper
To analyze this, we use the main coefficient determinant, Δ. This determinant is the gatekeeper of our system. If $\Delta
eq 0$, the system is guaranteed to have a unique solution, and thus, it is consistent.
The matrix is formed by the coefficients of x, y, and z:
Expanding this along the first row, we get:
Δ=−k(4(3)−1(−k))−3((−15)(3)−(−4)(−k))−14((−15)(1)−(−4)(4))
Simplifying this, we find:
Δ=−k(12+k)−3(−45−4k)−14(−15+16)
This reduces beautifully to:
The Danger Zones
Now, the plot thickens. If Δ=0, we are in a "danger zone" where the system might be inconsistent. Setting 121−k2=0 gives us k=11 and k=−11.
For any other value of k, the system is perfectly consistent. But what happens at these two critical points? We must test them.
We use Cramer's Rule: if Δ=0 and at least one of the auxiliary determinants (Δx,Δy,Δz) is non-zero, the system is inconsistent.
Let's test k=11 by calculating Δz:
After careful expansion, we find Δz=26, which is clearly not zero. Since Δ=0 and $\Delta_z
eq 0$, the system is inconsistent at k=11.
Repeating this for k=−11, we find Δz=312, which is also non-zero. Thus, the system is inconsistent at both k=11 and k=−11.
The Final Verdict
We have systematically dismantled the problem. The system is consistent for all real numbers except for the two points where it breaks down.
Therefore, the set of consistent values is R−{−11,11}.
You have successfully navigated the logic of linear systems. Keep this analytical mindset, and no problem will ever be too daunting!