Systems of Linear Equations
Short Notes
A system of linear equations can be represented as Ax = b where A is the coefficient matrix, x is the variable vector, and b is the constant vector.
- Consistent System: Has at least one solution
- Inconsistent System: Has no solution
- Homogeneous System: When b = 0 (always consistent, trivial solution exists)
Key Theories & Formulas
1. Existence and Uniqueness of Solutions
For a system Ax = b of n equations in n unknowns:
| Condition | Solution Type |
|---|---|
| rank(A) = rank(A | b) = n |
| rank(A) = rank(A | b) < n |
| rank(A) ≠ rank(A | b) |
2. Homogeneous Systems (Ax = 0)
- Always consistent (x = 0 is always a solution)
- Trivial solution only: if rank(A) = n (number of unknowns)
- Non-trivial solutions exist: if rank(A) < n
- Number of free variables = n - rank(A)
- Key Result: If m < n (fewer equations than unknowns), non-trivial solutions always exist.
3. Row Echelon Form (REF) & Reduced REF (RREF)
Steps for Gaussian Elimination:
- Convert to upper triangular form (REF)
- Further reduce to RREF (leading 1s, zeros above and below pivots)
Example: $\(\begin{pmatrix} 1 & 2 & 3 \\ 0 & 1 & 4 \\ 0 & 0 & 1 \end{pmatrix} \xrightarrow{RREF} \begin{pmatrix} 1 & 0 & 0 \\ 0 & 1 & 0 \\ 0 & 0 & 1 \end{pmatrix}\)$
4. Cramer's Rule
For a system with unique solution (det(A) ≠ 0): $\(x_i = \frac{\det(A_i)}{\det(A)}\)$ where \(A_i\) is A with column i replaced by b.
5. Matrix Inverse Method
If A is invertible: \(x = A^{-1}b\)
Example Problems
Problem 1: For what value of k does the system have infinite solutions? $\(\begin{align} x + 2y + 3z &= 4 \\ 2x + 3y + 4z &= 5 \\ 3x + 4y + 5z &= k \end{align}\)$
Solution:
- Form augmented matrix: \(\begin{pmatrix} 1 & 2 & 3 & | & 4 \\ 2 & 3 & 4 & | & 5 \\ 3 & 4 & 5 & | & k \end{pmatrix}\)
- \(R_2 \leftarrow R_2 - 2R_1\): \(\begin{pmatrix} 1 & 2 & 3 & | & 4 \\ 0 & -1 & -2 & | & -3 \\ 3 & 4 & 5 & | & k \end{pmatrix}\)
- \(R_3 \leftarrow R_3 - 3R_1\): \(\begin{pmatrix} 1 & 2 & 3 & | & 4 \\ 0 & -1 & -2 & | & -3 \\ 0 & -2 & -4 & | & k-12 \end{pmatrix}\)
- \(R_3 \leftarrow R_3 - 2R_2\): \(\begin{pmatrix} 1 & 2 & 3 & | & 4 \\ 0 & -1 & -2 & | & -3 \\ 0 & 0 & 0 & | & k-6 \end{pmatrix}\)
- For infinite solutions: \(k - 6 = 0 \Rightarrow \mathbf{k = 6}\)
Problem 2: Find the number of solutions for the homogeneous system with coefficient matrix: $\(A = \begin{pmatrix} 1 & 2 & 3 \\ 4 & 5 & 6 \\ 7 & 8 & 9 \end{pmatrix}\)$
Solution:
- det(A) = 0 (rows are in arithmetic progression)
- rank(A) = 2 < 3 (number of unknowns)
- Infinite solutions with 1 free variable
Hardest GATE Questions
Topic: Condition for Consistent System
Question (GATE 2016 Style): Consider the system: $\(\begin{align} x + y + z &= 1 \\ x + 2y + 3z &= 2 \\ x + 2y + (a^2-5)z &= a \end{align}\)$ For what values of 'a' does the system have (i) no solution, (ii) unique solution, (iii) infinite solutions?
Solution:
-
Augmented matrix after row operations: \(\begin{pmatrix} 1 & 1 & 1 & | & 1 \\ 0 & 1 & 2 & | & 1 \\ 0 & 0 & a^2-8 & | & a-2 \end{pmatrix}\)
-
Case 1: \(a^2 - 8 \neq 0\) (i.e., \(a \neq \pm 2\sqrt{2}\))
-
rank(A) = rank(A|b) = 3 → Unique solution
-
Case 2: \(a^2 - 8 = 0\) (i.e., \(a = \pm 2\sqrt{2}\))
- If \(a = 2\sqrt{2}\): \(a - 2 = 2\sqrt{2} - 2 \neq 0\) → No solution
- If \(a = -2\sqrt{2}\): \(a - 2 = -2\sqrt{2} - 2 \neq 0\) → No solution
Final Answer:
- No solution: \(a = \pm 2\sqrt{2}\)
- Unique solution: \(a \neq \pm 2\sqrt{2}\)
- Infinite solutions: Never (for this system)
Why it's hard: Requires careful case analysis and understanding when rank conditions fail.