Explores vector spaces equipped with a dot product, allowing measurement of angles and lengths # 🧭 Index | Topics | Descriptions | | ------------------------------------------------------ | ----------------------------------------------------------------- | | [[Basis]] | The amount of independent vectors to map a space | | [[Dots Product & Angles]] | Connects two vectors to measure how one vector maps onto another | | [[Linear Combinations]] | A way of building new vectors by scaling and adding other vectors | | [[Linear Independence]] | Set of vector that cannot be written as a combo of another vector | | [[Orthogonality]] | How vectors are orthogonal | | [[Scalar Equations of Lines & Planes]] | Equations that describe lines and planes | | [[Span]] | Set of vectors that you can reach as a linear combinations | | [[Vector Length]] | The magnitude of a vector | | [[Vectors Equations of a Line in 2D]] | Describes a line from a point in 2D | | [[Vectors Equations of a Line in 3D]] | Describes a line from a point in 3D | | [[Vectors, Vectors Addiction & Vector Multiplication]] | Covers how vector are added, subtracted and multiplied | --- > 🗂️ You're browsing the Math & Matter Website. [Star it on GitHub](https://github.com/rajeevphysics/Obsidan-Thinkbook) to follow updates and support open learning. ---