MTH168 Mathematics II

Mathematics IIUnit 28 min read

Systems of Linear Equations & Matrices: Augmented Forms, Consistency & Solutions

Unit 2 of Mathematics II covers solving linear systems via augmented matrices, row operations, consistency criteria, and applications to real-world problems, with emphasis on Gaussian elimination and interpretation of results.

Core Concepts & Definitions

1. Systems of Linear Equations

A system of linear equations consists of m linear equations in n variables:

  • Solution: A vector that satisfies all equations simultaneously.
  • Consistency: A system is consistent if it has at least one solution; otherwise, it is inconsistent.

Types of Solutions

Type Description Example Condition
Unique Solution Exactly one solution exists. and (for square matrices).
Infinite Solutions Infinitely many solutions (a free variable exists). Rank of < number of variables.
No Solution System is inconsistent (contradiction in equations). Rank of ≠ Rank of .

2. Augmented Matrix & Row Operations

Augmented Matrix

An augmented matrix combines the coefficient matrix and the constant vector into a single matrix: Example: For the system: The augmented matrix is:

Elementary Row Operations (EROs)

Used to transform the augmented matrix into row-echelon form (REF) or reduced row-echelon form (RREF):

  1. Row Swapping (): Exchange two rows.
  2. Scalar Multiplication (): Multiply a row by a non-zero scalar.
  3. Row Addition (): Add a multiple of one row to another.

Goal: Achieve a matrix where:

  • All non-zero rows are above any rows of all zeros.
  • The leading coefficient (pivot) of a non-zero row is always strictly to the right of the leading coefficient of the row above it.
  • All entries in a column below a pivot are zeros.

3. Solving Systems Using Gaussian Elimination

Steps:

  1. Write the augmented matrix .
  2. Perform EROs to convert it to REF.
  3. Back-substitute to find solutions (or express in parametric form if free variables exist).

Worked Example: General Solution

Problem: Find the general solution of the system with augmented matrix:

Solution:

  1. Step 1: Add to to eliminate in : New matrix:

  2. Step 2: Make the pivot in equal to 1 by multiplying by : Matrix:

  3. Step 3: Eliminate the in using : Simplified matrix:

  4. Step 4: Divide by : Final REF:

  5. Back-Substitution:

    • From : .
    • From : .
    • From : .

Solution: (unique solution).


4. Homogeneous Systems

A homogeneous system has the form , where .

Key Properties

  • Always at least one solution: (trivial solution).
  • Non-trivial solutions exist if and only if the system is dependent (i.e., or rank).

Example:

  • The second equation is times the first, so the system is dependent.
  • Non-trivial solutions exist (e.g., ).

5. Consistency of Linear Systems

A system is consistent if: Otherwise, it is inconsistent.

Worked Example: Consistency Check Problem: Determine if the system is consistent:

Solution:

  1. Write the augmented matrix:
  2. Perform EROs:
    • Swap and :
    • Eliminate in :
    • Eliminate in using :
  3. Final REF:
    • (all rows are non-zero).
    • .
    • Conclusion: The system is consistent (unique solution exists).

6. Applications of Linear Systems

  1. Network Flow Problems: Modeling traffic or fluid dynamics.
  2. Economics: Input-output models (e.g., Leontief models).
  3. Computer Graphics: Homogeneous coordinates for transformations.
  4. Engineering: Circuit analysis (Kirchhoff’s laws).
  5. Statistics: Least squares fitting (covered in Unit 7).

7. Comparison: Direct vs. Iterative Methods

Method Description Pros Cons
Gaussian Elimination Direct method using EROs to solve . Exact solution, simple for small systems. Computationally expensive for large .
Iterative Methods (e.g., Jacobi, Gauss-Seidel) Approximate solutions via repeated updates. Efficient for sparse/large systems. Requires initial guess, slower convergence.

Exam Tip

  1. Augmented Matrix Questions:

    • Always perform EROs step-by-step and show intermediate matrices.
    • For general solutions, express free variables explicitly (e.g., ).
  2. Consistency Checks:

    • Compare and .
    • If ranks differ, the system is inconsistent.
  3. Homogeneous Systems:

    • Remember: Non-trivial solutions exist only if or rank.
  4. Common Mistakes to Avoid:

    • Forgetting to perform row operations systematically (e.g., skipping normalization).
    • Misinterpreting REF vs. RREF (RREF has pivots = 1 and zeros above/below).
    • Incorrectly identifying free variables in parametric solutions.
  5. Past Exam Patterns:

    • Define + Solve: Expect 5–7 marks for definitions (e.g., augmented matrix) + 8–10 marks for solving.
    • Consistency: Always verify ranks explicitly.
    • Applications: Relate to real-world scenarios (e.g., "Why is Gaussian elimination used in circuit analysis?").

Practice Problems:

  1. Solve the system with augmented matrix:
  2. Determine if the system , , is consistent.
  3. Find the general solution of the homogeneous system:

Based on the TU BSc CSIT syllabus for Mathematics II (MTH168), unit 2.

Discussion

Loading…