Projection Theorem
Let H be a Hilbert space and M a closed subspace of H. Corresponding to any vector x in H, there is a unique vector m_0 in M such that
| |x-m_0|<=|x-m| |
for all m in M. Furthermore, a necessary and sufficient condition that m_0 in M be the unique minimizing vector is that x-m_0 be orthogonal to M (Luenberger 1997, p. 51).
This theorem can be viewed as a formalization of the result that the closest point on a plane to a point not on the plane can be found by dropping a perpendicular.
See also
Point-Plane DistanceExplore with Wolfram|Alpha
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References
Luenberger, D. G. Optimization by Vector Space Methods. New York: Wiley, 1997.Referenced on Wolfram|Alpha
Projection TheoremCite this as:
Weisstein, Eric W. "Projection Theorem." From MathWorld--A Wolfram Resource. https://mathworld.wolfram.com/ProjectionTheorem.html