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Course by: Mark A. Davenport. E-mail the author

# Orthobasis Expansions

Module by: Mark A. Davenport. E-mail the author

Suppose that the vjj=1Nvjj=1N are a finite-dimensional orthobasis. In this case we have

x ^ = j = 1 N x , v j v j . x ^ = j = 1 N x , v j v j .
(1)

But what if x span (vj)=Vx span (vj)=V already? Then we simply have

x = j = 1 N x , v j v j x = j = 1 N x , v j v j
(2)

for all xVxV. This is often called the “reproducing formula”. In infinite dimensions, if VV has an orthobasis vjj=1vjj=1 and xVxV has

j = 1 x , v j 2 < j = 1 x , v j 2 <
(3)

then we can write

x = j = 1 x , v j v j . x = j = 1 x , v j v j .
(4)

In other words, xx is perfectly captured by the list of numbers x,v1,x,v2,...x,v1,x,v2,...

Sound familiar?

## Example 1

• V=CnV=Cn, vkvk is the standard basis.
xk=x,vkvk.xk=x,vkvk.
(5)
• V=L2-π,πV=L2-π,π, vkt=12πejktvkt=12πejkt For any fVfV we have
ft= k=- cxvxft= k=- cxvx
(6)
where
ck=f,vk=12π-ππfte-jktdt.ck=f,vk=12π-ππfte-jktdt.
(7)

The general lesson is that we can recreate a vector xx in an inner product space from the coefficients x,vkx,vk. We can think of x,vkx,vk as “transform coefficients.”

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