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 addition and scalar multiplication that make it a vector space.
For all (\mathbf{u}, \mathbf{v}, \mathbf{w} \in \mathbb{F}^n) and scalars (a, b \in \mathbb{F}):
- Closure under addition: (\mathbf{u} + \mathbf{v} \in \mathbb{F}^n)
- Commutativity: (\mathbf{u} + \mathbf{v} = \mathbf{v} + \mathbf{u})
- Associativity of addition: ((\mathbf{u} + \mathbf{v}) + \mathbf{w} = \mathbf{u} + (\mathbf{v} + \mathbf{w}))
- Additive identity: There exists (\mathbf{0} = (0,\ldots,0)) such that (\mathbf{u} + \mathbf{0} = \mathbf{u})
- Additive inverse: For each (\mathbf{u}), there exists (-\mathbf{u}) such that (\mathbf{u} + (-\mathbf{u}) = \mathbf{0})
- Closure under scalar multiplication: (a\mathbf{u} \in \mathbb{F}^n)
- Distributivity (scalar over vector sum): (a(\mathbf{u} + \mathbf{v}) = a\mathbf{u} + a\mathbf{v})
- Distributivity (scalar sum over vector): ((a + b)\mathbf{u} = a\mathbf{u} + b\mathbf{u})
- Associativity of scalar multiplication: (a(b\mathbf{u}) = (ab)\mathbf{u})
- Scalar identity: (1 \cdot \mathbf{u} = \mathbf{u})
These ten properties are the vector space axioms; verifying them for (\mathbb{F}^n) is straightforward from the component-wise definitions.
Parents
Children
- Definition of scalar
- Definition of vector
- Definition of column vector
- Definition of R^n (or C^n)
- Definition of size of a vector
- Definition of entry/component of a vector
- Definition of 0 vector
- Definition of equality of vectors
- Definition of vector sum/addition
- Vector sum/addition is commutative and associative
- Definition of conjugate of a vector in C^n
- Definition of the real part of a vector in C^n
- Definition of the imaginary part of a vector in C^n
- The conjugate of a sum of vectors in C^n is the sum of the conjugates
- Definition of vector-scalar multiplication
- The conjugate of vector-scalar multiplication in C^n is the product of the conjugates.
- Example of vector-scalar multiplication in R^2