# Gradient of function with arbitrary number of variables

This link answers the question on how to express the derivative of a function with an arbitrary number of variables. However, what if I wanted the gradient? More specifically, if f[x1,...,xn] is a given function where n may vary, then how would I express its gradient? I could alway do a Do loop, but is there an easier way?

EDIT: More specifically, I would like a function F[f_,n_] that has f and the number of arguments n of function f as inputs. F[f_,n_] should output the gradient of f.

• What about the function Grad[]? This seems to what you are looking for at first glance – Dunlop Oct 30 '19 at 6:54
• @Dunlop That requires inputting the arguments, i.e., Grad[f[x1,...,xn],{x1,...,xn}], which isn't ideal in writing a function that takes in only a function f and the number of argument n. – Andrew Yuan Oct 30 '19 at 8:12
• @Andrew Yuan Why do not you make a custom gradient, as for example, myGrad[expr_]:=Grad[expr,{x1,x2,...xn}]? – Alexei Boulbitch Oct 30 '19 at 8:53

ClearAll[f, F, n]
F[f_, n_] := Grad[f @ ##, {##}] & @@ Array[\[FormalX], n]


Examples:

F[Times, 3]


{[FormalX] [FormalX], [FormalX] [FormalX], [FormalX][ 1] [FormalX]}

F[Sin[Total[{##}^2]] &, 2]


{2 [FormalX] Cos[[FormalX]^2 + [FormalX]^2], 2 [FormalX] Cos[[FormalX]^2 + [FormalX]^2]}

Alternatively, use the variable as an additional argument (instead of using \[FormalX]:

ClearAll[f, F2, n]
F2[f_, n_, var_: x] := Grad[f@##, {##}] & @@ Array[var, n]


Examples:

F2[Times, 3]


{x x, x x, x x}

F2[Sin[Total[{##}^2]] &, 2, z]


{2 Cos[z^2 + z^2] z, 2 Cos[z^2 + z^2] z}