LINEAR ALGEBRA/Student Engineering Notebook
Page 04·notes
SYSTEMS OF LINEAR EQUATIONS & DETERMINANTS—~30 MIN READ

Gaussian Elimination & Linear System Solvability

“Augmented matrices, REF/RREF, Rouché-Capelli theorem, unique solutions, infinite solutions, and inconsistency.”

1.Linear Systems, Row Reduction & Solvability Regimes

Consider the linear system of m equations in n unknowns: Ax = b.

Elementary Row Operations:

1. Swap two rows (R_i <-> R_j).

2. Multiply a row by non-zero scalar (R_i -> c * R_i).

3. Add a scalar multiple of one row to another (R_i -> R_i + c * R_j).

Row Echelon Form (REF) vs Reduced Row Echelon Form (RREF):

In RREF, every leading entry (pivot) is 1, and each pivot is the ONLY non-zero entry in its entire column.

The Three Solvability Regimes:

Let r = Rank(A) and r_aug = Rank([A | b]):

- r < r_aug: Inconsistent (0 = c contradiction; No solution).

- r = r_aug = n: Consistent & Unique (all columns have pivots).

- r = r_aug < n: Consistent & Infinite (n - r free parameters).

WORKED EXAM ANALYSIS · STEP-BY-STEP DERIVATION2 Marks (Original Practice Problem · Modeled on GATE DA Pattern)

2. Worked Practice Problem: Parameterized System Consistency Analysis

⚠️ Pitfall Warning:

Distinguish when the augmented column introduces an extra pivot versus when it falls into existing pivot structure.

Problem: Consider the system of linear equations in variables x, y, z:

x + y + z = 6

x + 2y + 3z = 10

x + 2y + k*z = mu

Determine the values of parameters k and mu for which the system has: (a) a unique solution, (b) infinitely many solutions, (c) no solution.

Step 1: Set up the augmented matrix [A | b]:

[ [1, 1, 1 | 6], [1, 2, 3 | 10], [1, 2, k | mu] ]

Step 2: Apply row operations to reach upper triangular form:

R2 -> R2 - R1: [ 0, 1, 2 | 4 ]

R3 -> R3 - R1: [ 0, 1, k - 1 | mu - 6 ]

R3 -> R3 - R2: [ 0, 0, k - 3 | mu - 10 ]

The reduced augmented matrix is:

[ [1, 1, 1 | 6], [0, 1, 2 | 4], [0, 0, k - 3 | mu - 10] ]

Step 3: Analyze the three cases:

Case (a) Unique Solution: Requires Rank(A) = 3 = n.

This requires k - 3 != 0 => k != 3 (mu can be any real value).

Case (b) Infinitely Many Solutions: Requires Rank(A) = Rank([A|b]) = 2 < 3.

This requires the entire last row to be zero:

k - 3 = 0 and mu - 10 = 0 => k = 3 and mu = 10.

Case (c) No Solution (Inconsistent): Requires Rank(A) = 2 != Rank([A|b]) = 3.

This requires k - 3 = 0 and mu - 10 != 0 => k = 3 and mu != 10.

Conclusion: Unique if k != 3; Infinite if k = 3, mu = 10; Inconsistent if k = 3, mu != 10.

SOURCE TRANSPARENCY & CITATIONS

Primary Academic References & Exam Sources

Every concept in Notes From a B.Tech Brain is synthesized from authoritative academic texts, seminal peer-reviewed research, verified exam archives, and renowned university lectures.

Curated University Lecture Series
Elementary Linear Algebra (11th Edition) ·
LECTURE SERIES