Understanding linear dependence and independence is one of the most important concepts in linear algebra. In this video, I’ll guide you step by step through examples in 2D, 3D, and 4D to show how vectors can be dependent or independent.
We’ll learn:
What it means for vectors to be linearly independent
How to check linear dependence using span and linear combinations
How to use row echelon form and reduced row echelon form (RREF) to test independence
Formal definitions of dependence and independence in vector spaces
Examples of independent and dependent sets of vectors in higher dimensions
By the end, you’ll understand not just the definitions, but also how to calculate and prove independence or dependence with real examples.
Check out this video for "REF and RREF":
• Row Echelon Form Explained: Gaussian Elimi...
and also this video to learn what "Vector Spaces" are:
• What is a Vector Space? (Explained with Ex...