Exercise · ZW-LINEAR-LEAST-SQUARES-004 · ★☆☆ Basic

What does \(Ax^*\) represent geometrically, where \(x^*\) is the least squares solution?

Choose one option.

Show answer
  • D. The orthogonal projection of \(b\) onto the column space of \(A\)

Explanation

\(Ax^*\) is the point in the column space of \(A\) closest to \(b\), that is, its orthogonal projection. The reflection option describes a different transformation that does not minimize the distance.

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Review the concept: Linear least squares

Optimization problem that minimizes the sum of squared residuals \(\|Ax-b\|_2^2\) to approximate a vector \(b\) by linear combinations of the columns of \(A\).

\[\min_{x}\ \|Ax-b\|_2^2 \quad \Rightarrow \quad A^\top A\,x = A^\top b\]

More practice problems: linear least squares

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