quartz/content/Obsidian Vault/LinearAlgebra1.md
2022-06-07 14:39:39 -06:00

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---
cards-deck: default_obsidian
date: [[2022-04-27]]
tags: #linear_algebra
---
#math/linear_algebra
# Dot Product
multiply each number in a vector by the one in the corresponding index in the other. then add it all up.
## Length of vector
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dot product with itself, square root.
it's the pythagorean theorem.
$$||v||=\sqrt{v\cdot v}$$
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## unit vector
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$$||cv|| = |c|\ ||v||$$
vector divided by its length, you get a vector of length 1
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## Distance:
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$$dist(u,w)=||u-w||$$
you are basically subtracting the vectors, and doing pythagorean to get the length of that resulting vector
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## **cauchy-schwartz**
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$$|u\cdot w|\leq ||u||\ ||w||$$
basically, the dot product is always smaller than the two lengths multiplied
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## **triangle inequality**
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$$||u+w||=||u||+||w||$$
the length of the added vectors is always smaller than the added lengths of the vectors.
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## **angles?**
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$$cos\theta = \frac{uv}{||u||\ ||v||}=\frac{u}{||u||}\cdot \frac{v}{||v||}$$
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