norm
gievn a vector space V over R or C a norm on V is a function V-> scalars (R or C) satsifying:
‖λv‖ = λ‖v‖
‖ v+u‖ ≤ ‖v‖ + ‖u‖
‖v‖ ≥ 0 and = 0 iff v = 0
norm and real inner product space
‖v‖ = √(v,v)
unit vector
v is if ‖v‖ = 1
orthogonal
say u,v are orthogonal if (u,v) = 0
orthonormal basis for V
is a basis {u1…un} where (ui,uj) = 1 if i = j and = 0 if i≠j
pythagoras theorem
if u,v orthogonal ‖u+v‖^2 = ‖u‖^2 + ‖v‖^2
real cauchy schwartz inequality
(u,v)^2 ≤ (u,u)(v,v)
or
|(u,v)| ≤ ‖u‖‖v‖
triangke inequality
‖u+v‖≤ ‖u‖ + ‖v‖
angle between two vectors in terms of norm and inner product
(u,v) = ‖u‖ ‖v‖ cosθ
norm induced by a hermitian inner product
letV be a hermitian inner product space then the norm ‖v‖ = √<v,v>
hermitian norm
angle between 2 vectors in compelx space
cant be defined but can still be orthogonal