Definition 28. Let V be a vector space over F (here F= R, C). Then the function (•,•): V × V → F is said to be an inner product on V if the following conditions are satisfied: (x,x) is real and (x,x) ≥ 0 for all (x,x) = 0 if and only if x € 0₂. (i) (ii) (iii) (iv) (v) (x, ay) = a(x, y) for all x, y V (x, y+z) = (x, y) + (x, z) for all (x, y) (y,x) for all x, y € V. = (p, q) = xεν. n and for all Example: Verify that each of the following mappings define a real inner product. i=1 x, y, z ε ν. (d) Let x₁,x2,...n be distinct real numbers and let (,): PnX Pn → R be defined as p(x₁)q(xi), a EF. for all p, q Pn.
Definition 28. Let V be a vector space over F (here F= R, C). Then the function (•,•): V × V → F is said to be an inner product on V if the following conditions are satisfied: (x,x) is real and (x,x) ≥ 0 for all (x,x) = 0 if and only if x € 0₂. (i) (ii) (iii) (iv) (v) (x, ay) = a(x, y) for all x, y V (x, y+z) = (x, y) + (x, z) for all (x, y) (y,x) for all x, y € V. = (p, q) = xεν. n and for all Example: Verify that each of the following mappings define a real inner product. i=1 x, y, z ε ν. (d) Let x₁,x2,...n be distinct real numbers and let (,): PnX Pn → R be defined as p(x₁)q(xi), a EF. for all p, q Pn.
Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
Publisher:David Poole
Chapter6: Vector Spaces
Section6.2: Linear Independence, Basis, And Dimension
Problem 15EQ
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