Generalization of elementary symmetric polynomials

The elementary symmetric polynomials (ESPs) are defined as -

\begin{align*} E_{1}^{1} &= X_1, \\ E_{1}^{2} &= X_1 + X_2, \\ E_{2}^{2} &= X_1 X_2, \\ E_{2}^{3} &= X_1 X_2 + X_1 X_3 + X_2 X_3, \\ E_{k}^{n} &= \sum_{1 \leq j_1 < \dotsb < j_k \leq n} X_{j_1} \dotsm X_{j_k}. \end{align*}

Notice that in the above examples, all the coefficients are 1.

Now we can generalize $$E_{k}^{n}$$ by the following function

$$G_{k}^{n} = \sum_{1 \leq j_1 < \dotsb < j_k \leq n} S_{j_1 \cdots j_k} \: X_{j_1} \dotsm X_{j_k},$$

where $$S_{j_1 \cdots j_k}$$ is symmetric. If $$S_{j_1 \cdots j_k} = 1$$, the above equation reduces to the ESP.

Edit: although $$S_{j_1 \cdots j_k}$$ is symmetric, $$G_{k}^{n}$$ is not (in the previous versions I incorrectly wrote $$G_{k}^{n}$$ is a symmetric polynomial).

My questions are -

1. Does the polynomial $$G_{k}^{n}$$ have a name?

2. Do decompositions of $$G_{k}^{n}$$ exist, like the ESP (by Lee - Power sum decompositions of elementary symmetric polynomials, 2016)?

I apologize if my notations are not standard. I have edited some of them to look familiar.

• I don't see how $G_N^M$ are symmetric, unless I misunderstood the hypotheses. Minor point: you seem to be using very non-standard notation for what is a very standard object in symmetric functions theory.
– user35313
Jul 29, 2020 at 17:01
• Edited. Thanks! Jul 29, 2020 at 17:20
• The polynomial is still not symmetric, unless all the $S$es are equal. Jul 29, 2020 at 17:27
• As @darijgrinberg implies, I think you may be running into the confusion about "how symmetric". A symmetric polynomial is symmetric in all its variables, whereas a symmetric tensor is symmetric only in the indices that are passed to it. (I'm also not sure what you gain by thinking of tensors here.) For example, any degree-1 tensor, say $S_i = i$ in the index notation, is symmetric; but $G^2_1 = X_1 + 2X_2$ is not a symmetric polynomial. Jul 29, 2020 at 17:41