Definition: The coordinate vector space \(\mathbb{F}^n\) is the set of all ordered \(n\)-tuples of elements from a field \(\mathbb{F}\), equipped with component-wise addition and scalar multiplication.
For \(\mathbb{F} = \mathbb{R}\), we write:
\[\mathbb{R}^n = \{(x_1, x_2, \ldots, x_n) : x_i \in \mathbb{R}\}\]
Operations:
- Addition: \((x_1,\ldots,x_n) + (y_1,\ldots,y_n) = (x_1+y_1, \ldots, x_n+y_n)\)
- Scalar multiplication: \(c(x_1,\ldots,x_n) = (cx_1, \ldots, cx_n)\) for \(c \in \mathbb{F}\)
Example: In \(\mathbb{R}^3\), the vector \((1, 2, 3)\) represents a point in three-dimensional space. Adding \((1,2,3) + (4,5,6) = (5,7,9)\), and scaling \(2 \cdot (1,2,3) = (2,4,6)\).
Coordinate vector spaces are the prototypical finite-dimensional vector spaces; every \(n\)-dimensional vector space over \(\mathbb{F}\) is isomorphic to \(\mathbb{F}^n\).
Parents
Children
- Algebraic properties of R^n (or C^n)Definition: The algebraic properties of \(\mathbb{R}^n\) (or \(\mathbb{C}^n\)) are the rules governing vector...
- Geometric properties of R^n (or C^n)Euclidean geometry on $\mathbb R^n$ uses $\langle x,y\rangle=x^Ty$. Complex coordinate geometry instead uses $\langle...
- Axioms of a vector spaceDefinition: A vector space over a field \(\mathbb{F}\) is a set \(V\) together with two operations --- vector...
- Linear combinationsDefinition: A linear combination of vectors \(\mathbf{v} 1, \mathbf{v} 2, \ldots, \mathbf{v} k\) in a vector space...
- SpansDefinition: The span of a set of vectors \(\{\mathbf{v} 1, \mathbf{v} 2, \ldots, \mathbf{v} k\}\) is the set of all...
- SubspacesDefinition: A subset \(W\) of a vector space \(V\) is a subspace if \(W\) is itself a vector space under the same...
- Linear (in)dependenceDefinition: A set of vectors \(\{\mathbf{v} 1, \mathbf{v} 2, \ldots, \mathbf{v} k\}\) is linearly dependent if there...
- BasesDefinition: A basis of a vector space \(V\) is a set of vectors \(\{\mathbf{v} 1, \ldots, \mathbf{v} k\}\) that is:...
- DimensionDefinition: The dimension of a vector space \(V\), denoted \(\dim(V)\), is the number of vectors in any basis of...
- Linear transformationsDefinition: A linear transformation (or linear map ) is a function \(T: V \to W\) between vector spaces over the same...
- Orthogonality and projectionOrthogonality means $\langle u,v\rangle=0$. For $u\ne0$, the projection of $v$ onto its line is $u\langle...
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