On Tue, Nov 18, 2025 at 11:31:22PM -0800, Alan Grayson wrote:
> 
> 
> On Monday, November 17, 2025 at 9:54:00 PM UTC-7 Russell Standish wrote:
>     This is Linear Algebra 101.
> 
>     To convince yourself, try it with a 2x2 matrix to make the
>     calculations easier. Extending the result to Rⁿis not difficult.
> 
>     Exercise:
> 
>     Show that
> 
>     (auᵀ₁+buᵀ₂)Mv = auᵀ₁Mv + buᵀ₂Mv
> 
>     and
> 
>     uᵀM(av₁+bv₂)=auᵀMv₁+ buᵀMv₂
> 
>     for a,b∈R, uᵢ,vᵢ ∈ Rⁿ, and M a real valued matrix.
> 
>     The above two lines are the definition of a bilinear function from Rⁿ⟶ R.
> 
> 
> If they're definitions, there's nothing to be shown or proven. But I have two
> questions relating to this subject. First, since uᵀ is a column matrix, is it
> OK
> to place it on the RHS of M, with the convention that Muᵀ is evaluated first, 
> followed by the result being evaluated by applying v (a row matrix), so we
> we get a real constant as the result? Second, if the function has one 
> independent variable, say u, I don't see how we can use matrix notation to
> evaluate the tensor To get a real value as the result. TY, AG

You mean uᵀv=u.v∈R? In this case u is a vector, and uᵀ is a rank 1 tensor.

Cheers
-- 

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Dr Russell Standish                    Phone 0425 253119 (mobile)
Principal, High Performance Coders     [email protected]
                      http://www.hpcoders.com.au
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