While reading a research paper, I came across a concept that always confuses me: the dot product. Every time I encounter it, I find myself searching for explanations, only to forget them later. This time, I am determined to understand and remember it!
What is the Dot Product?
According to Wikipedia, the dot product is:
"An operation that takes two vectors in Euclidean space and returns a real scalar. In physics, the concept of scalar multiplication helps determine the work done by a force on an object along a displacement."
Okay... but what does that actually mean?
After watching some YouTube videos, particularly from Hefpenheim, I found a more intuitive explanation:
- The dot product is a way to measure how similar two vectors are.
- If the dot product is large, the vectors are in a similar direction.
- If it is zero, the vectors are perpendicular.
- If it is negative, the vectors are in opposite directions.
Still not fully clear? Let’s break it down mathematically.
Mathematical Definition
The dot product is denoted by "⋅" and is calculated as:

where:

- a and b are vectors,
- ||a|| and ||b|| are their magnitudes (lengths), and
- θ is the angle between them.
Example Calculation

Imagine we have two vectors a and b. The term represents the projection of a onto b. This means the dot product gives us a way to measure how much one vector influences another along a given direction.
For example, if , the vectors are perfectly aligned, and the dot product is at its maximum value. If , the vectors are perpendicular, meaning they have no influence on each other in terms of direction.
Key Takeaways
- The dot product helps measure the similarity between two vectors.
- It produces a scalar value, not another vector.
- The formula to remember is:
Now, next time I see "dot product" in a paper, I won’t have to search for it again!
References
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