> For the complete documentation index, see [llms.txt](https://calnix.gitbook.io/zk-notes/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://calnix.gitbook.io/zk-notes/abstract-math/linear-algebra/unit-vectors-basis-vectors.md).

# Unit Vectors / Basis Vectors

In the $$xy$$-coordinate system, there are two special vectors.&#x20;

* The one pointing to the right with length $$1$$, commonly called “i hat” $$\hat{i}$$ or “the unit vector in the x-direction”.&#x20;
* The other one is pointing straight up with length $$1$$, commonly called “j hat” $$\hat{j}$$ or “the unit vector in the y-direction”.

<figure><img src="https://1983523492-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F0nwEx8a60yETwfNYnenT%2Fuploads%2FB4bdUZRzxgX21YvyS9co%2Fimage.png?alt=media&amp;token=7b0b1361-6bea-4f8d-aae4-2d8770493ecb" alt=""><figcaption></figcaption></figure>

### Choosing different basis vectors

Consider a random pair of vectors, $$\vec{v}$$ and $$\vec{w}$$.&#x20;

$$a\vec{v} + b\vec{w}$$

The linear combination of two vectors can be used to describe ***every*** possible two-dimensional vector.&#x20;

<figure><img src="https://1983523492-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F0nwEx8a60yETwfNYnenT%2Fuploads%2FEuUy1ZRTDS3GSg1IqSWL%2Fimage.png?alt=media&amp;token=ac3da598-8b67-475e-ba9d-0d1df677a207" alt=""><figcaption></figcaption></figure>

So while we can use a random pair of vectors as basis vectors, forming a new coordinate system, the association would be different from the version using the standard basis of $$\hat{i},\hat{j}$$&#x20;

<figure><img src="https://1983523492-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F0nwEx8a60yETwfNYnenT%2Fuploads%2FqJfj9M1I4dOnxKKfkBMU%2Fimage.png?alt=media&amp;token=fcc4b793-40de-4451-aa75-47170770867f" alt=""><figcaption></figcaption></figure>
