Approximation of optimum for two linear programs

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Suppose you got two linear programs.

They are the same except that one has a shifted objective by a positive constant

(1) $$\min c^Tx$$

(2) $$\min c^Tx + d$$

For (2) there exists a 10-approximation, that means a algorithm that produces a solution $s_2$ at maximum ten times as bad as the optimal solution $s_2^*$:

$$ \frac{s_2}{10} \le s_2^* $$

The Question is what approximation ratio has (1) if you got a approximate solution $s_2$?

What i came up with

$$ s_2 - d= s_1 $$ $$ s_2^* - d = s_1^* $$

$$ \frac{s_1 + d}{10} \leq s_1^* + d $$

$$ \frac{s_1 - 9d}{10} \leq s_1^* $$

but this doesn't seem correct: if $d > s_1$ this is negative.

Thank you