Animated Solution for Mathematics - Matrices and Determinants: The system of linear equations x+y+z=2, 2x+3y+2z=5, 2x+3y+(a2−1)z=a+1
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Visualized Solution
System of Linear Equations
x+y+z=2
2x+3y+2z=5
2x+3y+(a2−1)z=a+1
Coefficient Determinant D
D=12213312a2−1
Expanding D
Expanding along R1:
D=1[3(a2−1)−6]−1[2(a2−1)−4]+1[6−6]
Simplifying D
D=(3a2−3−6)−(2a2−2−4)+0
D=(3a2−9)−(2a2−6)
D=a2−3
Condition for Inconsistency
For inconsistency, D=0.
a2−3=0⟹a2=3
∣a∣=3
Auxiliary Determinant D3
Evaluate D3 to check inconsistency.
Replace z-column with constants:
D3=12213325a+1
Row Operation on D3
Apply R3→R3−R2:
D3=12013025a−4
Expanding D3
Expanding along R3:
D3=(a−4)(1×3−1×2)
D3=a−4
Evaluating D3 at ∣a∣=3
At ∣a∣=3, a=±3.
If a=3, D3=3−4=0.
If a=−3, D3=−3−4=0.
Final Conclusion
Since D=0 and D3=0 for ∣a∣=3.
The system is inconsistent.
Correct option is (2).
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The Sigma Insight: Solution of System of Linear Equations (Matrix Method and Cramer's Rule)
Solution Diagram
Analyzing the Setup
My dear students, welcome to the heart of linear algebra. Today, we are not just solving a system of equations; we are investigating the very nature of existence—or in this case, non-existence.
We are given a system of three linear equations:
x+y+z=22x+3y+2z=52x+3y+(a2−1)z=a+1
Our mission is to uncover the values of a that render this system inconsistent. In the language of geometry, this means we are looking for the scenario where these three planes refuse to meet at a single point, or even a line.
Phase 1
The Gatekeeper—The Determinant D
To understand the behavior of any system of linear equations, we must first consult the 'Gatekeeper': the determinant of the coefficient matrix, D. This value tells us whether the system has a unique solution.
If $D
eq 0$, the system is well-behaved, and a unique solution exists. But we are hunting for inconsistency, which forces us to look where D=0. Let us construct our matrix:
D=12213312a2−1
Expanding this along the first row is our most reliable path. We calculate:
D=1[3(a2−1)−6]−1[2(a2−1)−4]+1[6−6]
Notice the elegance here—the third term vanishes! Simplifying this, we get:
D=(3a2−3−6)−(2a2−2−4)+0
D=(3a2−9)−(2a2−6)=a2−3
There it is. The condition for our system to lose its unique solution is a2−3=0, or ∣a∣=3. This is our critical bifurcation point.
Phase 2
The Truth Teller—The Auxiliary Determinant D3
Now, here is where many students stumble. They assume that D=0 automatically means the system is inconsistent. But wait! D=0 is a necessary condition for inconsistency, but it is not sufficient.
It could also mean the system has infinitely many solutions. To distinguish between these two, we must check the auxiliary determinant, D3 (or Dz). We replace the third column of our matrix with the constants from the right-hand side of our equations:
D3=12213325a+1
We could expand this directly, but let us be smarter. Let us use the power of row operations. If we perform R3→R3−R2, we get:
D3=12013025a−4
This is the beauty of linear algebra! By creating those two zeros in the third row, the expansion becomes trivial. Expanding along the third row, we get:
D3=(a−4)(1×3−1×2)=a−4
Phase 3
The Final Synthesis
We have our two critical pieces of information: D=a2−3 and D3=a−4. For the system to be inconsistent, we require D=0 AND $D_3
eq 0$.
When ∣a∣=3, we know D=0. Now, let us check D3 at these points:
If a=3, then D3=3−4, which is clearly not zero.
If a=−3, then D3=−3−4, which is also not zero.
Since D=0 and $D_3
eq 0$, the system is undeniably inconsistent. We have navigated the logic, avoided the traps, and arrived at the truth. The system is inconsistent for a=±3.