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Tuesday, July 7, 2026

🔢 Basis & Dimension of a 6-Variable Homogeneous System | Step-by-Step | Anna University|Example 2|Vector space|Linear Algebra|

Basis & Dimension of Homogeneous System (6 Variables) | Linear Algebra
Worked Example 2

Basis & Dimension of a
Homogeneous System with 6 Variables

6 Variables 4 Equations 3 Free Variables Gaussian Elimination Null Space
[A/M-23-R-21] [A/M-26-R-25]
Tutorial Video: Basis & Dimension of Homogeneous System
Homogeneous System Basis & Dimension Null Space Gaussian Elimination RREF Free Variables Rank–Nullity Theorem 6 Variables
📌 Problem Statement

Find a basis and the dimension of the solution space of the homogeneous system:

\[ \begin{aligned} x_1 + 3x_2 - 2x_3 + 2x_5 &= 0 \\ 2x_1 + 6x_2 - 5x_3 - 2x_4 + 4x_5 - 3x_6 &= 0 \\ 5x_3 + 10x_4 + 15x_6 &= 0 \\ 2x_1 + 6x_2 + 8x_4 + 4x_5 + 18x_6 &= 0 \end{aligned} \]
[A/M-23-R-21]  ·  [A/M-26-R-25]
1
Set Up the Augmented Matrix

We write the system as $AX = 0$. Since all right-hand sides are zero, we work directly with the coefficient matrix $A$:

\[ A = \begin{bmatrix} 1 & 3 & -2 & 0 & 2 & 0 \\ 2 & 6 & -5 & -2 & 4 & -3 \\ 0 & 0 & 5 & 10 & 0 & 15 \\ 2 & 6 & 0 & 8 & 4 & 18 \end{bmatrix} \]
2
Row Reduce to Reduced Row Echelon Form

We apply a sequence of elementary row operations to reach RREF.

Operations: $R_2 \leftarrow R_2 - 2R_1$,   $R_4 \leftarrow R_4 - 2R_1$
\[ \begin{bmatrix} 1 & 3 & -2 & 0 & 2 & 0 \\ 0 & 0 & -1 & -2 & 0 & -3 \\ 0 & 0 & 5 & 10 & 0 & 15 \\ 0 & 0 & 4 & 8 & 0 & 18 \end{bmatrix} \]
Operation: $R_2 \leftarrow -R_2$  (make leading entry positive)
\[ \begin{bmatrix} 1 & 3 & -2 & 0 & 2 & 0 \\ 0 & 0 & 1 & 2 & 0 & 3 \\ 0 & 0 & 5 & 10 & 0 & 15 \\ 0 & 0 & 4 & 8 & 0 & 18 \end{bmatrix} \]
Operations: $R_1 \leftarrow R_1 + 2R_2$,   $R_3 \leftarrow R_3 - 5R_2$,   $R_4 \leftarrow R_4 - 4R_2$
\[ \begin{bmatrix} 1 & 3 & 0 & 4 & 2 & 6 \\ 0 & 0 & 1 & 2 & 0 & 3 \\ 0 & 0 & 0 & 0 & 0 & 0 \\ 0 & 0 & 0 & 0 & 0 & 6 \end{bmatrix} \]
Operation: $R_3 \leftrightarrow R_4$  (move non-zero row up)
\[ \begin{bmatrix} 1 & 3 & 0 & 4 & 2 & 6 \\ 0 & 0 & 1 & 2 & 0 & 3 \\ 0 & 0 & 0 & 0 & 0 & 6 \\ 0 & 0 & 0 & 0 & 0 & 0 \end{bmatrix} \]
Operation: $R_3 \leftarrow R_3 \div 6$  (normalize pivot to 1)
\[ \begin{bmatrix} 1 & 3 & 0 & 4 & 2 & 6 \\ 0 & 0 & 1 & 2 & 0 & 3 \\ 0 & 0 & 0 & 0 & 0 & 1 \\ 0 & 0 & 0 & 0 & 0 & 0 \end{bmatrix} \]
Operations: $R_1 \leftarrow R_1 - 6R_3$,   $R_2 \leftarrow R_2 - 3R_3$
\[ A \approx \begin{bmatrix} 1 & 3 & 0 & 4 & 2 & 0 \\ 0 & 0 & 1 & 2 & 0 & 0 \\ 0 & 0 & 0 & 0 & 0 & 1 \\ 0 & 0 & 0 & 0 & 0 & 0 \end{bmatrix} \quad \textbf{(RREF)} \]
3
Identify Pivot and Free Variables

Pivot columns (columns with leading 1s) give the pivot variables; the remaining columns give free variables:

$x_1$ — pivot $x_2$ — free ($= s$) $x_3$ — pivot $x_4$ — free ($= t$) $x_5$ — free ($= u$) $x_6$ — pivot
Rank–Nullity Theorem check: rank$(A) = 3$ (three non-zero rows)  +  nullity $= 3$ (three free variables) $= 6$ (total variables) ✓
4
Express Pivot Variables via Free Variables

Reading from the RREF rows, with $x_2 = s,\ x_4 = t,\ x_5 = u$:

\[ \begin{aligned} x_1 + 3x_2 + 4x_4 + 2x_5 &= 0 &\implies x_1 &= -3s - 4t - 2u \\ x_3 + 2x_4 &= 0 &\implies x_3 &= -2t \\ x_6 &= 0 &\implies x_6 &= 0 \end{aligned} \]
5
Write the General Solution

Collecting all components into vector form and separating by parameters $s$, $t$, and $u$:

\[ \begin{bmatrix} x_1 \\ x_2 \\ x_3 \\ x_4 \\ x_5 \\ x_6 \end{bmatrix} = \begin{bmatrix} -3s - 4t - 2u \\ s \\ -2t \\ t \\ u \\ 0 \end{bmatrix} =\; s\begin{bmatrix} -3 \\ 1 \\ 0 \\ 0 \\ 0 \\ 0 \end{bmatrix} +\; t\begin{bmatrix} -4 \\ 0 \\ -2 \\ 1 \\ 0 \\ 0 \end{bmatrix} +\; u\begin{bmatrix} -2 \\ 0 \\ 0 \\ 0 \\ 1 \\ 0 \end{bmatrix}, \quad s,t,u \in \mathbb{R} \]

✅ Final Answer

The basis of the null space (solution space) is:

$\mathbf{v}_1$
\[\begin{bmatrix}-3\\1\\0\\0\\0\\0\end{bmatrix}\]
,
$\mathbf{v}_2$
\[\begin{bmatrix}-4\\0\\-2\\1\\0\\0\end{bmatrix}\]
,
$\mathbf{v}_3$
\[\begin{bmatrix}-2\\0\\0\\0\\1\\0\end{bmatrix}\]

The dimension of the solution space is:

dim = 3

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