2.4. Let V be a vector space and let v1, V2,..., Vn be a basis in V. For x = Ek=1 akVk, y = Prove that (x, y) defines an inner product in V. E-1 BiVk define (x, y) := E-1 akBr.

Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
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Chapter7: Distance And Approximation
Section7.1: Inner Product Spaces
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2.4. Let V be a vector space and let v1, V2,..., Vn be a basis in V. For x =
Ek=1 akVk, y =
Prove that (x, y) defines an inner product in V.
E-1 BiVk define (x, y) := E-1 akBr.
Transcribed Image Text:2.4. Let V be a vector space and let v1, V2,..., Vn be a basis in V. For x = Ek=1 akVk, y = Prove that (x, y) defines an inner product in V. E-1 BiVk define (x, y) := E-1 akBr.
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