On Friday, November 28, 2025 at 3:17:02 PM UTC-7 Russell Standish wrote:

On Tue, Nov 25, 2025 at 12:48:59PM -0800, Alan Grayson wrote: 
> 
> On other thing; when evaluating the tensor T(u), how do you know which 
> co-vector (member of dual vector space) to use, or doesn't it matter?  
> Won't different co-vectors result in different real values for the 
tensor? AG  

The set of linear functions from Rⁿ→R is a vector space. The numerical 
values of the components of the vector depend on your chosen basis, of 
course, which is quite arbitrary, however it is usually convenient to 
choose a basis dᵢ of the dual space such that "orthoginality" 
relations hold woith respect you chosen basis eⱼ of the original 
vector space, ie: 

dᵢ(eⱼ) = δᵢⱼ 

Given any basis of a vector space, you can orthonormalise them by 
means of an algorithm call "Gram-Schmidt orthonormalisation".


*I recall that theorem in a book I studied, Halmos, Finite Dimensional 
Vector*
*Spaces. AG *


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Dr Russell Standish Phone 0425 253119 (mobile) 
Principal, High Performance Coders [email protected] 
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