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If you have an $\alpha$-approximation algorithm $A$ for some problem $f \in \#P$, such that (for $0 < \alpha \leq 1$) $$ \alpha f(x) \leq A(x) \leq \frac{f(x)}{\alpha}, $$ does that automatically imply that you can reduce that accuracy range and have a fully polynomial approximation scheme, $B$, such that (for $\varepsilon > 0$) $$ (1 - \varepsilon)f(x) \leq B(x) \leq (1 + \varepsilon)f(x) $$

I'm not really sure what would be the best way to prove or disprove this. One thought would be to show that this property is true for $\#SAT$ and then showing that all problems in $\#P$ reduce to #SAT and thus would have the same property? Although I'm also not sure how to go about proving this for $\#SAT$? Would appreciate any insight!

EDIT: made sure that $\alpha$ and $\varepsilon$ are both strictly greater than zero.

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    $\begingroup$ What are your thoughts? Have you tried to disprove it? $\endgroup$
    – D.W.
    Apr 20, 2022 at 21:19
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    $\begingroup$ This certainly works for some problems, for example $\#SAT$. $\endgroup$ Apr 20, 2022 at 21:20
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    $\begingroup$ Are you sure you want to allow $\alpha = 0$ and $\epsilon = 0$? $\endgroup$ Apr 20, 2022 at 21:21

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