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Module 1 Study Guide: Systems of Linear Equations

Linear Algebra -- Learn Without Walls

1. Key Definitions

Linear Equation: a_1 x_1 + a_2 x_2 + ... + a_n x_n = b. Variables to the first power only, no products of variables.
System of Linear Equations: A collection of linear equations in the same variables. A solution must satisfy ALL equations.
Augmented Matrix: A matrix capturing coefficients and constants: [A | b].
Row Equivalent: Matrices related by elementary row operations. They represent systems with the same solution set.

2. Elementary Row Operations

OperationNotationDescription
Row SwapR_i ↔ R_jInterchange two rows
Row ScalingcR_i → R_i (c nonzero)Multiply a row by a nonzero constant
Row ReplacementR_i + cR_j → R_iAdd a multiple of one row to another

3. Row Echelon Form (REF)

Conditions: (1) Zero rows at bottom. (2) Pivots step right going down. (3) Zeros below each pivot.

After reaching REF, solve by back-substitution (bottom row up).

4. Reduced Row Echelon Form (RREF)

REF conditions PLUS: (4) Every pivot = 1. (5) Each pivot is the only nonzero entry in its column.

RREF is unique for any matrix. Solutions can be read directly.

5. Solution Classification

TypeRREF IndicatorGeometry
No solutionRow [0 0 ... 0 | b], b nonzeroPlanes do not intersect
Unique solutionNo contradictions, all variable columns are pivot columnsPlanes meet at a single point
Infinitely manyNo contradictions, at least one free variablePlanes meet along a line/plane

6. Parametric Vector Form

x = p + t_1 v_1 + t_2 v_2 + ...

where p = particular solution (set free variables to 0), and v_i = direction vector for the i-th free variable.

7. Homogeneous Systems (Ax = 0)

Always consistent (x = 0 is always a solution). If #unknowns > #equations, nontrivial solutions exist.

Solution set of Ax = 0 is always x = t_1 v_1 + t_2 v_2 + ... (no particular solution needed since p = 0).

8. Key Facts to Remember