Derivative involving Summation Notation

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SUMMARY

The discussion focuses on the derivation of the expression \(\frac{d(\vec{x}^T\vec{x})}{d\vec{x}} = \vec{x}^T\) using summation notation. The author evaluates the derivative by converting it into summation form, leading to terms involving Kronecker delta and metric tensors. The key conclusion is that when the metric is standard Euclidean, the derivative simplifies to \(\sum_j x_j\). The author expresses uncertainty regarding the interpretation of the derivative of a row vector with respect to a column vector, particularly when \(i \neq j\).

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Hello, I am looking at a derivation that involves (note x is a column vector)
[tex]\frac {d(\vec{x}^T\vec{x})} {d\vec{x}} = \vec{x}^{T}[/tex]

So I convert to summation notation and evaluate as follows
[tex]\sum_{i,j} \frac {d(x_{i}x^{i})} {dx^{j}}[/tex]
[tex]\sum_{i,j} \frac {dx_{i}} {dx^{j}} x^{i} + \sum_{i,j} x_{i} \frac {dx^{i}} {dx^{j}}[/tex]
[tex]\sum_{i,j} \frac {dx_{i}} {dx^{j}} x^{i} + \sum_{i,j} x_{i} \delta_{ij}[/tex]
[tex]\sum_{i,j} \frac {dx_{i}} {dx^{j}} x^{i} + \sum_{i} x_{i}[/tex]

So I do recover the answer in the second term, but I am not sure what the derivative in the first term means. This derivative is of a row vector with respect to a column vector.
 
Last edited:
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I am not familiar with the notation here, but I suspect dxi/dxj = 0 for i ≠ j.
 
I have only encountered this notation in metric spaces.
You will need to write the covector field Fi(x) = xi as a function of the vector field Gi(x) = xi. This depends on the inner product of the vector space you are working in. If the induced metric of your space is M, then xi = Mijxj. Thus, (d/dxj)(xi) = (d/dxj)(Mikxk). If the components of the metric Mik are constants, then we have (d/dxj)(Mikxk) = Mik(d/dxj)(xk) = Mikδkj = Mij.
If your metric is the standard Euclidean metric, then Mij = δij, so
[tex]\sum_{i, j} \frac{dx_i}{dx^j}x^i = \sum_{i, j} \delta_{ij} x^i = \sum_j x_j[/tex]
If your metric is not standard Euclidean, you replace it as above.
 
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