MHB Finding Maximum Value of $e$ in $a,b,c,d,e \in R$

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The discussion focuses on maximizing the value of e given the constraints a+b+c+d+e=8 and a^2+b^2+c^2+d^2+e^2=16. It is established that when a, b, c, and d are all equal to 2, e equals 0, while setting a, b, c, and d to 1.2 results in e being 3.2. Participants are encouraged to find the maximum value of e and provide a proof for their solution. A reference to MarkFL's post suggests that it contains relevant insights or solutions. The conversation emphasizes the mathematical challenge of determining e's maximum value under the given conditions.
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$a,b,c,d,e \in R$
$a+b+c+d+e=8$
$a^2+b^2+c^2+d^2+e^2=16$
$find :\,\, e_{max}$
 
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Albert said:
$a,b,c,d,e \in R$
$a+b+c+d+e=8$
$a^2+b^2+c^2+d^2+e^2=16$
$find :\,\, e_{max}$

[sp]
When a=b=c=d=2 we get e=0 and when a=b=c=d=1.2 we get e=3.2.
[/sp]
 
$e_{max}=?$
and can you prove it ?
 
My solution:

Because of the cyclic symmetry in the variables, we may let:

$$a=b=c=d$$

And so:

$$4a+e=8\implies a=\frac{8-e}{4}$$

$$4a^2+e^2=16$$

Substitute for $a$:

$$4\left(\frac{8-e}{4} \right)^2+e^2=16$$

This simplifies to:

$$e(5e-16)=0$$

Hence:

$$e_{\max}=\frac{16}{5}$$
 
Albert said:
$e_{max}=?$
and can you prove it ?

Yep. See MarkFL's post. :p
 
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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