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Fill in zero vector definition
Description:Added formal definition, key properties, examples, and role in vector space axioms
# Definition of 0 vectorPut content here**Definition:** The *zero vector* (or *\(\mathbf{0}\) vector*) in \(\mathbb{F}^n\) is the vector whose every component is zero: ⏎ \[\mathbf{0} = (0, 0, \ldots, 0) \in \mathbb{F}^n\] ⏎ **Properties:** - **Additive identity:** For any \(\mathbf{v} \in \mathbb{F}^n\): \(\mathbf{v} + \mathbf{0} = \mathbf{v}\) - **Scalar multiplication by zero:** \(0 \cdot \mathbf{v} = \mathbf{0}\) for any \(\mathbf{v}\) - **Multiplication by zero vector:** \(a \cdot \mathbf{0} = \mathbf{0}\) for any scalar \(a\) - **Self-inverse:** \(\mathbf{0} = -\mathbf{0}\) ⏎ **Examples:** - In \(\mathbb{R}^2\): \(\mathbf{0} = (0, 0)\) - In \(\mathbb{R}^3\): \(\mathbf{0} = (0, 0, 0)\) - In \(\mathbb{C}^4\): \(\mathbf{0} = (0+0i, 0+0i, 0+0i, 0+0i)\) ⏎ **Role:** The zero vector is the additive identity element of the vector space \(\mathbb{F}^n\) — it is one of the ten algebraic properties that define a vector space. # Parents * Algebraic properties of R^n (or C^n)
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