How Do You Apply Schmidt Orthogonalization to Four 4D Vectors?

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SUMMARY

The discussion focuses on applying the Schmidt Orthogonalization process to four 4D vectors: (1,1,-1,-1), (1,1,0,0), (1,2,3,1), and (0,1,0,1). The user seeks clarity on extending the traditional Schmidt method, typically demonstrated with 2D vectors, to four dimensions. The step-by-step approach involves calculating the orthogonal vectors u1, u2, and u3 using the projection formula, specifically u3 = v3 - proj(u1)v3 - proj(u2)v3, and emphasizes the importance of normalizing each resulting vector at every stage.

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  • Understanding of linear algebra concepts, specifically vector spaces.
  • Familiarity with the Schmidt Orthogonalization process.
  • Knowledge of vector projection techniques.
  • Ability to perform normalization of vectors.
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  • Learn about vector projection formulas and their derivations.
  • Explore normalization techniques for multi-dimensional vectors.
  • Practice applying orthogonalization to various sets of vectors in different dimensions.
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Students and professionals in mathematics, physics, and engineering who require a solid understanding of vector orthogonalization techniques, particularly in higher-dimensional spaces.

haras
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Hello,
I must use this schmidt method to form an orthogonal set from the 4 column vectors: (1,1,-1,-1), (1,1,0,0,), (1,2,3,1), (0,1,0,1).
the only examples i can find are for 2 2space vectors, and that has the eqns.:
u1=v1
u2 = v2 - proj(u1) v2

i'm confused about how to expand that to 4 vectors in 4space, and also i think, about how to do projections.

THANKS!
 
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Do it step by step. After you have u1 and u2 do
u3=v3-proj(u1)v3-proj(u2)v3, and so on.
You should normallize the u's at each step.
 

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