We know that the word orthogonal is kind of like the word perpendicular. It implies that two vectors have an angle of ninety degrees or half pi radians between them. But this term means much more than this, as we can have orthogonal matrices, or entire subspaces that are orthogonal to one another. Beyond this, we must understand the term orthonormal, and why orthonormal sets of vectors are important. Let's check it out!

Script by Howard Whittle

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