I have tried many times to evaluate $(1-c^2)^3+(c^3+10^nc^2-1)^3+(10^n c^2-1)^3=n$ for $n >1$ as polynomial for some values of integer $n$ which are greater than $1$ for the solution of the titled equation for looking why exactly $c$ always closed to integer which is $-2*10^n$ looking to the behavior of polynomial coefficients but I can't expand that, For numerical evidence I have used such that an example for $n=2$ is montioned here, Now my question here is :
Why $c$ closed to $-2\times10^n$ in $(1-c^2)^3+(c^3+10^nc^2-1)^3+(10^n c^2-1)^3=n$ for $n >1$ ? And does this gives any evidence about unknown representation numbers as sum of cubic like $n=390,732,\cdots $, because What I have tried the decimal expansion of $c$ increases with the digits $9$ ?
Addendum:This part is the motivation of this question, Now I should deduce this question for Unknown representations numbers as $390$, Could we have an integer $c$ for $n=390$ in the titled equation since we have increasing decimal expansion of $c$ with $999999999\cdots$?
This is a very interesting post from a numerical point of view.
Why is the solution so close to $-2\times 10^n$ ? @John Omielan gave good explantions; what I noticed is that we have the same behavior setting the rhs equal to $0$ instead of $n$.
Working with illimited precision, I was able to solve for $n=2000$ to $10000$ places without any difficulty and the result contains $6000$ $9$'s.
What I found interesting is to let $c=-2\times 10^n+\epsilon$ and to perform one single step of Newton method. Hoping no mistake, I obtained $$\epsilon=\frac {10^{-n}}{12} \, \frac {160\times 10^{6n}-48\times 10^{4n}+12\times10^{2n}+n+1} { 16\times 10^{7n}+40\times 10^{4n}-8\times10^{2n}+10^n+1}\sim 10^{-2n}$$ which is almost exactly what is observed.
Edit
We can make things simpler ignoring the $n$ in the rhs and considering the equation $$(1-c^2)^3+(c^3+A c^2-1)^3+(A c^2-1)^3=0$$ with a solution written as $c=-2A+\epsilon$.
Expanding, we face a polynomial of degree $9$ in $\epsilon$ which can be considered as an expansion to $O(\epsilon^{10})$. Now, using series reversion we end with $$\epsilon=\frac{5}{6 A^2}-\frac{1}{4 A^4}+\frac{25}{36 A^5}+O\left(\frac{1}{A^6}\right)$$ Making $A=10^n$ gives the previous result. Moreover, this also explains the appearance of other sequence in the exact solution as shown below $$\left( \begin{array}{cc} n & c_n - \lceil c_n \rceil \\ 2 & -0.99991666909722222222222222222222222222222222222222222222222 \\ 3 & -0.99999916666691597222222222222222222222222222222222222222222 \\ 4 & -0.99999999166666669165972222222222222222222222222222222222222 \\ 5 & -0.99999999991666666666916659722222222222222222222222222222222 \\ 6 & -0.99999999999916666666666691666597222222222222222222222222222 \\ 7 & -0.99999999999999166666666666669166665972222222222222222222222 \\ 8 & -0.99999999999999991666666666666666916666659722222222222222222 \\ 9 & -0.99999999999999999916666666666666666691666666597222222222222 \\ 10 & -0.99999999999999999999166666666666666666669166666665972222222 \\ 11 & -0.99999999999999999999991666666666666666666666916666666659722 \\ 12 & -0.99999999999999999999999916666666666666666666666691666666667 \\ 13 & -0.99999999999999999999999999166666666666666666666666669166667 \\ 14 & -0.99999999999999999999999999991666666666666666666666666666917 \\ 15 & -0.99999999999999999999999999999916666666666666666666666666667 \end{array} \right)$$
However, the same can be observed with much smaller values than $10$; considering $A=2^n$, the following table reports the estimated and exact values of $\epsilon$ (the rhs being included in the equation). $$\left( \begin{array}{ccc} n & \epsilon_{\text{estimated}} & \epsilon_{\text{exact}} \\ 1 & 0.214409722222222 & 0.214480559652020 \\ 2 & 0.051784939236111 & 0.051777771960045 \\ 3 & 0.012980990939670 & 0.012980993387867 \\ 4 & 0.003252055909899 & 0.003252057549138 \\ 5 & 0.000813584360811 & 0.000813584401775 \\ 6 & 0.000203436266424 & 0.000203436267195 \\ 7 & 0.000050861719097 & 0.000050861719110 \\ 8 & 0.000012715599976 & 0.000012715599976 \\ 9 & 0.000003178910770 & 0.000003178910770 \\ 10 &0.000000794728370 & 0.000000794728370 \end{array} \right)$$