Vector weighting functions

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Orthogonal but not orthonormal basis sets

Suppose we have two vectors from an orthonormal system, u→ and v→. Taking the inner product of these vectors, we get

u→∙v→=∑k=13uka→k∙∑m=13vma→m=∑k=13uk∑m=13vma→k∙a→m=∑k=13uk∑m=13vmδk,m=∑k=13vkuk

What if they aren't from a normalized system, so that

a→k∙a→n=wkδk,n

where the wk is the square of the length of a→k and the symbol δk,n is one when k = n and zero otherwise? Well the general inner product of u→ and v→ becomes

u→∙v→=∑k=13uka→k∙∑m=13vma→m=∑k=13uk∑m=13vma→k∙a→m=∑k=13uk∑m=13vmwkδk,m=∑k=13wkvkuk.

You can interpret the wk as a weighting factor between the different directions so that different directions all end up in the units you would like. For example, suppose that the x and y directions were measured in meters, and the z direction was measured in centimeters, and you would like to use meters as your base unit. You could either convert the z dimensions to meters (probably simpler) or use a weighting function wx=1, wy=1 and wz=10−6. In this sense, the system could be considered orthonormal with these units and this weighting arrangement.

This idea is often extended to functions.

Orthogonal functions

Principle author of this page: Rob Frohne