Given that a , b ∈ R , a + b = 2 , b > 0 , then find the minimum value of 2 ∣ a ∣ 1 + b ∣ a ∣ .
Let M be the minimum value. Submit ⌊ 1 0 0 0 M ⌋ .
Have a look at my problem set: SAT 1000 problems
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Case 2: you copied -1 from case 1.
I think we had this conversation before! But, here I go again.
Unwarranted application of AM-GM is almost always bad. f ( x ) ≥ g ( x ) doesn't mean f ( x ) achieves a minimum value when f ( x ) = g ( x ) . For example, why didn't you apply AM-GM for the terms 2 ( 2 − b ) 1 a n d b 2 ? It's because you wouldn't get to the correct answer applying the same logic as you applied here. Graphing 2 ( 2 − b ) 1 + b 2 and 2 b ( 2 − b ) 1 would make the fallacy clear.
As long as you can't justify your reasoning for arranging the terms in a certain way to get the proper result, the solution has no logical basis at all!
I will also point at your usage of = sign right after ≥ saying "equality occurs at some point". This is also wrong. You cannot write this mathematically as the functions of b are not 'constant' functions. You have to use f ( b = 4 ) to make use of the = sign.
No worry, thanks again.
This problem can be solved using calculus easily. Firstly, we can turn the expression 2 ∣ a ∣ 1 + b ∣ a ∣ into a single variable function using the condition a + b = 2 . Let f ( b ) = 2 ∣ 2 − b ∣ 1 + b ∣ 2 − b ∣
We now take the derivative of f ( b ) . This results in the piecewise function f ′ ( b ) = ( 4 − 2 b ) 2 2 − b 2 2 if b < 2 and − ( 2 b − 4 ) 2 2 + b 2 2 if b > 2 with a discontinuity at b = 2. Since we are trying to find the minimum of f ( b ) , we must find the critical points of f ( b ) . It just so happens that in both halves this occurs when b 2 = ( 4 − 2 b ) 2 . Rearranging terms yields the quadratic equation 3 b 2 − 1 6 b + 1 6 = 0 which has the roots b = 1 . 3 3 3 , 4 .
Since we are given that there exists a global minimum, one of these critical points must be the global minimum (under different circumstances I would have to show that one of these is a global minimum, most likely via a second-derivative test). Plugging both roots into f ( b ) yields the local minimums (1.333, 1.25) and (4, 0.75). It is clear that M = 0.75 meaning that ⌊ 1 0 0 0 M ⌋ = 7 5 0
Let the given sum be S . Then
l i m a → − ∞ S = 1 , l i m a → 0 − S = ∞
In the range ( − ∞ , 0 ) , it has one minimum at a = − 2 , b = 4 , the minimum value being 0 . 7 5 .
Also, l i m a → 0 + S = l i m a → 2 − S = ∞ .
Since b > 0 , a < 2
In the range [ 0 , ∞ ) , s has one minimum at a = 3 2 , b = 3 4 , the minimum value being 1 . 2 5 > 0 . 7 5 .
Hence the given sum can never be less than 0 . 7 5 .
Shouldn’t the limit of given sum when a is approaching to positive or negative infinity be 1?
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2 ∣ a ∣ 1 + b ∣ a ∣ = 2 ∣ 2 − b ∣ 1 + b ∣ 2 − b ∣ = ⎩ ⎪ ⎨ ⎪ ⎧ 2 ( 2 − b ) 1 + b 2 − b 2 ( b − 2 ) 1 + b b − 2 for 0 < b ≤ 2 for b > 2
Case 1: 0 < b ≤ 2
f ( b ) f ′ ( b ) min ( f ( b ) ) = 2 ( 2 − b ) 1 + b 2 − b = 2 ( 2 − b ) 2 1 − b 2 2 = − 2 ( 2 − b ) 2 b 2 3 b 2 − 1 6 b + 1 6 = − 2 ( 2 − b ) 2 b 2 ( 3 b − 4 ) ( b − 4 ) = f ( 3 4 ) = 4 5
Case 2: b > 2
f ( b ) f ′ ( b ) min ( f ( b ) ) = 2 ( b − 2 ) 1 + b b − 2 = − 2 ( b − 2 ) 2 1 + b 2 2 = 2 ( 2 − b ) 2 b 2 ( 3 b − 4 ) ( b − 4 ) = f ( 4 ) = 4 3
Therefore the minimum value M = 4 3 = 0 . 7 5 , ⟹ ⌊ 1 0 0 0 M ⌋ = 7 5 0 .