Positive reals a , b , and c are such that a + b + c = 3 . Find the maximum value of
a 3 + b 3 + c 3 − 4 ( a 2 + b 2 + c 2 )
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Nah... The minimum is harder to find tbh, as equality doesn't hold when a = b = c , so yeah, just tryin' to screw everyone up :)
Good solution anyways.
Obviously Lagrange works but any non calculus method can be used?
Let's define a function f ( x ) as :
f ( x ) = x 3 − 4 x 2
f ′ ( x ) = 3 x 2 − 8 x ⟹ f ′ ′ ( x ) = 6 x − 8
So, f ( x ) is convex for x < 3 4
By using Jensen's inequality in the interval ( 0 , 4 3 ) , we get :
f ( a ) + f ( b ) + f ( c ) ≤ 3 f ( 3 a + b + c )
a 3 + b 3 + c 3 − 4 ( a 2 + b 2 + c 2 ) ≤ 3 ( 1 − 4 ) = − 9
Equality holds when a = b = c = 1 .
How do you know that f does not take a greater value when one of them >4/3?
I found it helpful to draw a graph of f ( x ) = x 3 − 4 x 2 . Let S = f ( a ) + f ( b ) + f ( c )
f ( x ) ≤ 0 for x ∈ [ 0 , 3 ]
WLOG a ≤ b ≤ c
If c > 1 , then f ( c ) ≤ − 9 , so S ≤ − 9 .
If c ≤ 1 then a = b = c = 1 , So S = − 9
Therefore − 9 is the maximum.
We know that a, b and c are positive reals and their sum is equal to 9. Therefore, the only solutions to that is: (0,0,3), (1,1,1) and (2,1,0). After substituting those valuers, the maximum is -9.
Note: sorry for my bad grammar.
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This is just a constrained optimization problem with a Lagrangian of L ( a , b , c ) = a 3 + b 3 + c 3 − 4 ⋅ ( a 2 + b 2 + c 2 ) − λ ⋅ ( a + b + c − 3 ) .
We then have ∇ L = 0 :
d a d L = 3 a 2 − 8 a − λ = 0
d b d L = 3 b 2 − 8 b − λ = 0
d c d L = 3 c 2 − 8 c − λ = 0
d λ d L = − ( a + b + c − 3 ) = 0
Solving for a , b and c gives three possibilities:
a = b = c = 1 ∨ a = b = 3 1 , c = 3 7 ∨ a = b = 3 4 , c = 3 1 , which when plugged in give respectively − 9 , − 9 8 9 , − 9 8 9 .
The maximum is then − 9 , for a = b = c = 1 .
Side note: I'm not sure why the title says the minimum is easier to find.