Time-complexity of recursive defined code How would I set up a recursive formula for time-complexity for this code:

int b(int n, int x) {
    int erg = x;
    if (n&gt;1) {
        for (int i = 1; i &lt;= n; i++) {
           erg = erg+i;
        }
        for (int k=0; k&lt;3; k++) {
           erg = erg + b(n/3,erg/9);
        }
    }
    return erg;
}


Is my assumption correct, that it would be something like this? $$T(n)=n(T(\tfrac{n}{3})+n)$$

But how to deal with the if statement and the second for loop, since it is independent of $n$?
The time complexity depends only on $n$ but not on $x$. You can assume $T(n)$ denote the time complexity. For $n\leq 1$, $T(n)=O(1)$ apparently. For $n&gt;1$, the first for-loop takes $O(n)$ time and the second for-loop takes $3T(n/3)$ time since it calls $b(n/3,\cdot)$ three times.