Definition: \(\mathbb{R}^n\) is the set of all ordered \(n\)-tuples of real numbers:
\[\mathbb{R}^n = \{(x_1, x_2, \ldots, x_n) \mid x_j \in \mathbb{R} \text{ for } j = 1, 2, \ldots, n\}\]
Similarly, \(\mathbb{C}^n\) is the set of all ordered \(n\)-tuples of complex numbers:
\[\mathbb{C}^n = \{(z_1, z_2, \ldots, z_n) \mid z_j \in \mathbb{C} \text{ for } j = 1, 2, \ldots, n\}\]
General notation: For any field \(\mathbb{F}\), we write:
\[\mathbb{F}^n = \{(x_1, x_2, \ldots, x_n) \mid x_j \in \mathbb{F}\}\]
Examples:
- \(\mathbb{R}^2\) — the Euclidean plane; e.g., \((3, -1)\)
- \(\mathbb{R}^3\) — 3D space; e.g., \((1, 0, -2)\)
- \(\mathbb{C}^2\) — pairs of complex numbers; e.g., \((1+i, 2-i)\)
Structure: \(\mathbb{F}^n\) is a vector space over \(\mathbb{F}\) under component-wise addition and scalar multiplication.
Like how this is organised?
Build your own knowledge tree on knowen.md: notes, decisions and tasks in one connected markdown graph, shared with your team and your AI agents.

