Semi-Inner Product with Zero Vector
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Theorem
Let $\struct {V, \innerprod \cdot \cdot}$ be a semi-inner product space.
Let $\mathbf 0_V$ be the zero vector of $V$.
Then for all $v \in V$:
- $\innerprod {\mathbf 0_V} v = \innerprod v {\mathbf 0_V} = 0$
Proof
\(\ds \innerprod {\mathbf 0_V} v\) | \(=\) | \(\ds \innerprod {0 \cdot \mathbf 0_V} v\) | ||||||||||||
\(\ds \) | \(=\) | \(\ds 0 \cdot \innerprod {\mathbf 0_V} v\) | Semi-Inner Product Axioms: Sesquilinearity | |||||||||||
\(\ds \) | \(=\) | \(\ds 0\) |
$\Box$
\(\ds \innerprod v {\mathbf 0_V}\) | \(=\) | \(\ds \overline {\innerprod {\mathbf 0_V} v}\) | Semi-Inner Product Axioms: Conjugate Symmetry | |||||||||||
\(\ds \) | \(=\) | \(\ds \overline 0\) | From above | |||||||||||
\(\ds \) | \(=\) | \(\ds 0\) |
$\blacksquare$
Also see
Sources
- 1990: John B. Conway: A Course in Functional Analysis (2nd ed.) ... (previous) ... (next): $\text{I}$ Hilbert Spaces: $\S 1.$ Elementary Properties and Examples: Definition $1.1$