This chapter shows Gram-Schmidt orthogonalization as a sequence of geometric updates rather than only as symbolic formulas. It tracks how the columns are orthogonalized in 2×2 and 3×3 cases, shows how R accumulates the inverse right-side updates and explains the role of shear and scaling matrices in building Q and R.
Gram-Schmidt can be understood as a sequence of localized geometric updates that change one column at a time.
This stepwise viewpoint makes QR factorization look like a sequence of transformations rather than a single final identity.
Because the usual symbolic formulas hide the fact that Gram-Schmidt changes one column at a time through specific geometric operations. The stepwise view shows exactly what is being removed, what is being normalized and how those updates accumulate into Q and R.
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Because Gram-Schmidt changes columns, and right-multiplication is the natural way to update columns one at a time. Each shear or scaling matrix differs from the identity in one active column, so the sequence Aₖ₊₁ = Aₖ Sₖ Dₖ tracks the orthogonalization column by column.