proposition 12.6 Parallelogram law and polarization

open in the book · parts/02-mathematical-methods/10-hilbert-spaces.tex:157 · p. 414

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proposition 12.6: Parallelogram law and polarization12.6definition 5.18: Inner product5.18equation 5.44: eq:lin-norm-assoc5.44theorem 12.14: Closest point in a closed convex set12.14proof : ch:10-hilbert-spaces@proof-3proofdefinition 4.33: Vector space4.33corollary 5.29: Orthogonal decomposition5.29definition 7.96: Plane7.96definition 12.2: Hilbert space12.2definition 12.94: Tensor product of Hilbert spaces12.94definition 5.41: Adjoint5.41definition 5.32: Levi–Civita symbol; cross product5.32definition 5.24: Orthogonal vectors5.24definition 5.144: Unitary representation5.144example 12.9: The sequence space \ell^212.9example 12.11: The function space L^212.11proposition 5.63: prop:lin-dual-inner-product5.63proposition 5.31: Gram criterion5.31proposition 5.28: Gram–Schmidt5.28proposition 5.20: Cauchy–Schwarz inequality5.20proposition 5.155: Averaging trick5.155proposition 5.130: An orthogonal transformation is an isometry5.130definition 12.13: Convex set12.13theorem 12.18: Projection theorem12.18proof : ch:10-hilbert-spaces@proof-7proof

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typedirectionnode provenancewhere
depends_on Inner product declared parts/02-mathematical-methods/10-hilbert-spaces.tex:168
depends_on eq:lin-norm-assoc declared parts/02-mathematical-methods/10-hilbert-spaces.tex:168
depends_on Closest point in a closed convex set declared parts/02-mathematical-methods/10-hilbert-spaces.tex:348
proves ch:10-hilbert-spaces@proof-3 declared parts/02-mathematical-methods/10-hilbert-spaces.tex:171