MHB Which is Greater: $\log_{10}12$ or $(\log_{10}5)^2+(\log_{10}7)^2$?

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The discussion revolves around comparing the values of $\log_{10}12$ and $(\log_{10}5)^2 + (\log_{10}7)^2$. Participants are encouraged to provide reasoning for their conclusions. The hint suggests that using a calculator can expedite finding the answer. Ultimately, the goal is to determine which expression yields a greater value. The conversation emphasizes the importance of mathematical reasoning in arriving at the correct conclusion.
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State with reason which of these is greater?

$\log_{10}12$ or $(\log_{10}5)^2+(\log_{10}7)^2$?
 
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anemone said:
State with reason which of these is greater?

$\log_{10}12$ or $(\log_{10}5)^2+(\log_{10}7)^2$?

Hint:

Extended Cauchy-Schwarz Inequality
 
My calculator was faster. (Yes)

-Dan
 
anemone said:
State with reason which of these is greater?

$\log_{10}12$ or $(\log_{10}5)^2+(\log_{10}7)^2$?

My solution:

Note that by using the extended Cauchy-Schwarz inequality, we have

$\dfrac{(\log_{10}5)^2}{1}+\dfrac{(\log_{10}7)^2}{1}\ge \dfrac{(\log_{10}5+\log_{10}7)^2}{1+1}=\dfrac{(\log_{10}35)^2}{2}$

But we know $35^2=1225>10^3$, so $\log_{10}35>\dfrac{3}{2}$ and therefore $\dfrac{(\log_{10}35)^2}{2}>\dfrac{9}{8}$.

If we can prove $\dfrac{9}{8}>\log_{10} 12$, then we can conclude $(\log_{10}5)^2+(\log_{10}7)^2>\log_{10}12$.

Observe that $10^3=1000>864=\dfrac{12^3}{2}$, so we get $10^9>\dfrac{12^9}{8}$, since $\dfrac{12^9}{8}>12^8$, we have proved $10^9>12^8$, i.e. $\dfrac{9}{8}>\log_{10} 12$.

Therefore, $\dfrac{(\log_{10}5)^2}{1}+\dfrac{(\log_{10}7)^2}{1}\ge\dfrac{(\log_{10}35)^2}{2}\ge\dfrac{9}{8}>\log_{10} 12$.
 
I have been insisting to my statistics students that for probabilities, the rule is the number of significant figures is the number of digits past the leading zeros or leading nines. For example to give 4 significant figures for a probability: 0.000001234 and 0.99999991234 are the correct number of decimal places. That way the complementary probability can also be given to the same significant figures ( 0.999998766 and 0.00000008766 respectively). More generally if you have a value that...

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