? ? ? ? 2. If W = Span{X₁, X2, X3} with {x₁, X2, X3} linearly independent, and if {V₁, V2, V3} is an orthogonal set in W consisting of non-zero vectors, then {V1, V2, V3} is an orthogonal basis for W. 3. If {V1, V2, V3} is an orthogonal basis for W, then multiplying V3 by a non-zero scalar e gives a new orthogonal basis {V₁, V2, CV3}. 4. The best approximation to y by elements of a subspace W is given by the vectory - projw (y). ✓5. If y = Z₁ + Z2, where Z₁ is in a subspace W and Z₂ is in W, then z₁ must be the orthogonal projection of y onto W.
? ? ? ? 2. If W = Span{X₁, X2, X3} with {x₁, X2, X3} linearly independent, and if {V₁, V2, V3} is an orthogonal set in W consisting of non-zero vectors, then {V1, V2, V3} is an orthogonal basis for W. 3. If {V1, V2, V3} is an orthogonal basis for W, then multiplying V3 by a non-zero scalar e gives a new orthogonal basis {V₁, V2, CV3}. 4. The best approximation to y by elements of a subspace W is given by the vectory - projw (y). ✓5. If y = Z₁ + Z2, where Z₁ is in a subspace W and Z₂ is in W, then z₁ must be the orthogonal projection of y onto W.
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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