Fill in zero vector definition

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Added formal definition, key properties, examples, and role in vector space axioms

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# Definition of 0 vector

Put content here**Definition:** The *zero vector* (or *\(\mathbf{0}\) vector*) in \(\mathbb{F}^n\) is the vector whose every component is zero:
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\[\mathbf{0} = (0, 0, \ldots, 0) \in \mathbb{F}^n\]
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**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:** \(\mathbf{0} = -\mathbf{0}\)
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**Examples:**
- In \(\mathbb{R}^2\): \(\mathbf{0} = (0, 0)\)
- In \(\mathbb{R}^3\): \(\mathbf{0} = (0, 0, 0)\)
- In \(\mathbb{C}^4\): \(\mathbf{0} = (0+0i, 0+0i, 0+0i, 0+0i)\)
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**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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