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Inner Product MOC
- Inner product is a generalization of the euclidean dot product
- It is denoted by $\langle\cdot,\cdot\rangle$
- It has to satisfy certain properties but I don’t think I will go into what those are
- It gives intuitive sense of lengths, angles, etc. for any vector space
Important details
Every inner product induces a valid norm
If you have some inner product $\langle\cdot,\cdot\rangle$ then you can define a norm as follows
$$ ||u|| = \sqrt{\langle u, u\rangle} $$
Inner product spaces are a proper subset of normed vector spaces
- Every inner product space has a valid norm induced by it.
- Not every normed vector spaces have a valid inner product.
- Apparently out of all the $p$-norms only $p=2$ i.e the euclidean norm has a valid inner product that can be derived.
- Refer https://en.wikipedia.org/wiki/Polarization_identity