>[!summary] Orthogonal vectors are vectors who a perpendicular to a line, point, or plane. > In linear algebra we often call perpendicular vector as orthogonal vectors. (They mean the same thing) > **Key equation:** Verify orthogonal vector from the result of a dot product (If it return 0 then it is orthogonal) >[!info]+ Read Time **⏱ 1 mins** # Orthogonal Vectors In linear algebra instead of stating a vector being perpendicular to another vector, we say those vectors are orthogonal to one another. When we say vectors are orthogonal to one another, we often point to their dot product ([[Dots Product & Angles]]) are 0. >[!bug] Distinction **Parallel** vectors are whose their dot product is **non-zero** > **Orthogonal** vectors are whose their dot product is **zero**. --- > 💡 Found this concept helpful? [Star Math & Matter on GitHub](https://github.com/rajeevphysics/Obsidan-MathMatter) to support more intuitive science breakdowns like this. ---