Lagrange multipliers with vectors and matrices

[IniquiTrance]

My textbook is using Lagrange multipliers in a way I'm not familiar with.

F(w,λ)=wCw^T-λ(wu^T-1)

Why is the first order necessary condition?:

2wC-λu=0

Is it because:
\nablaF=2wC-λu

Why does \nablaF equal this?

Many thanks!

Edit: C is a covariance matrix

 

[Simon_Tyler]

The easiest way to think about these things is to use http://en.wikipedia.org/wiki/Einstein_notation" .

F = w_mC_mnw_n-λ(w_mu_m-1)

where repeated indices are summed over their range.

Then using ∂_wiw_j = δ_ij, where δ_ij is the http://en.wikipedia.org/wiki/Kronecker_delta"

We can calculate ∇F:

(∇F)_i = ∂_wiF = δ_imC_mnw_n+w_mC_mnδ_in-λ(δ_imu_m-0) = C_inw_n+w_mC_mi-λu_i = 2w_mC_mi-λu_i = (2wC - λu)_i

where we have used the fact that C and δ are symmetric matrices.

This calculation can also be done symbolically, but I find it easier (and often make less errors with transposes etc) using index notation. It also generalises to more complicated situations where you have covariant and contravariant indices, and different classes of indices (such as holomorphic and antiholomorphic in complex cases), http://en.wikipedia.org/wiki/DeWitt_notation" .