Given a vector space V, define what it means for a function (, ·) : V × V → V to be an inner product on V. Then, define what it means for a subset S of V to be an orthogonal set with respect to this inner product. Finally, define what it means for a linear transformation T : V –→ V to preserve inner products.

Advanced Engineering Mathematics
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ISBN:9780470458365
Author:Erwin Kreyszig
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Chapter2: Second-order Linear Odes
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Given a vector space V, define what it means for a function (, ·) :V × V → V to be an inner product
on V. Then, define what it means for a subset S of V to be an orthogonal set with respect to this inner
product. Finally, define what it means for a linear transformation T : V → V to preserve inner products.
Transcribed Image Text:Given a vector space V, define what it means for a function (, ·) :V × V → V to be an inner product on V. Then, define what it means for a subset S of V to be an orthogonal set with respect to this inner product. Finally, define what it means for a linear transformation T : V → V to preserve inner products.
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