Let F be the set of all monic cubic polynomials with real coefficients. Then what is
f ∈ F min x ∈ [ − 1 , 1 ] max ∣ f ( x ) ∣ ?
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Hm, interesting approach. What motivated the substitution of 2 1 and 2 1 ?
Also, care to generalize to n-degree polynomials?
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For f ( x ) = x 3 − 4 3 x , ∣ f ( x ) ∣ = 4 1 exactly for x = − 1 , − 2 1 , 2 1 , and 1 , so these are the key values that will prove that M ≥ 4 1 .
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Yes, though without knowing that polynomial, it all seems magical. I've added @Jake Lai 's motivation for how to find that polynomial.
I've also added the intuition behind (setting up of) this question, which allows us to easily generalize it to n degrees. It helps to explain the "magic" of where ± 2 1 came from, and why the answer is 4 1 .
When there wasn't the absolute value thing, I though I was missing something. So I spent as hour on this problem... Great problem anyways
Sorry, the answer should have been 4 1 , instead of 8 1 . It has been updated.
[Read this solution in parts, and see if you can guess the next step.]
Suppose that F ( x ) is the monic cubic polynomial that gives us the minimum, and that the answer is S . What can we likely say about F ( x ) ?
Thus, the graph "should" look like this:
What does it remind you of? Can you guess what F ( x ) is?
How would you continue from here? How can we show that this is indeed the optimal solution that cannot be improved?
[Spoiler alert]
Approach 1: From
@Jake Lai
:
Assuming symmetry, the graph has the form
F
(
x
)
=
x
(
x
−
a
)
(
x
+
a
)
, where
a
is to be determined such that
F
(
1
)
is equal to the local maximum. The maximum occurs at
x
=
−
2
a
/
3
, and thus
a
=
3
/
2
. We obtain the polynomial
F
(
x
)
=
x
3
−
3
/
4
x
.
However, the downside of this approach is that we do not get a clear path forward on how to show that this is indeed optimal. Look at Jon's solution for a way forward.
Approach 2: From Calvin Lin:
The graphs suggest that we want to look at trigonometric polynomials. We consider the Chebyshev polynomial
T 3 ( x ) = cos ( 3 a r c c o s x ) = 4 x 3 − 3 x .
From the definition, we know that the local maximum is equal to T 3 ( 1 ) = 1 .
Since we want a monic polynomial, let's divide by the leading coefficient to obtain S 3 ( x ) = 4 1 T 3 ( x ) , with the claim that the answer is equal to 4 1 T 3 ( 1 ) = 4 1 .
Proof: From the definition, we know that S 3 ( 1 ) = S 3 ( cos 3 2 π ) = 4 1 and S 3 ( − 1 ) = S 3 ( cos 3 π ) = − 4 1 . Suppose we have another monic cubic polynomial M ( x ) which produces a smaller absolute max M . Consider N ( x ) = S ( x ) − M ( x ) . By definition, the degree of this polynomial is at most 2. However, we get that N ( − 1 ) < 0 , N ( − 2 1 ) > 0 , N ( 2 1 ) < 0 , N ( 1 ) > 0 , which indicates that this polynomial has 2 turning points and hence has degree at least 3. Contradiction.
Generalization.
It is now easy to generalize this to n-degree polynomials. If you go through that same diagram analysis, we realize that we want something that loops back and forth with a fixed height.
Consider T n ( x ) = cos ( n a r c c o s x ) , which has leading coefficient 2 n − 1 . Let S n ( x ) = 2 n − 1 1 T n ( x ) . Then, the values of S n at the points 1 , cos n π , cos n 2 π , … , cos n ( n − 1 ) π , − 1 are alternatively 2 n − 1 1 and − 2 n − 1 1 by definition of cos θ .
Now, suppose that there is another monic degree n polynomial M ( x ) which produces a smaller absolute max M . Considering N ( x ) = S ( x ) − M ( x ) which has degree at most n − 1 . However, N ( x ) has a turning point in each of these n intervals ( cos n ( k + 1 ) π , cos n k π ) , and thus it has degree at least n , which is a contradiction.
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Let f ( x ) = x 3 + a x 2 + b x + c , and let M = max x ∈ [ − 1 , 1 ] ∣ f ( x ) ∣ . Then ∣ f ( 1 ) ∣ ≤ M , ∣ f ( 2 1 ) ∣ ≤ M , ∣ f ( − 2 1 ) ∣ ≤ M , and ∣ f ( − 1 ) ∣ ≤ M . It follows that ∣ f ( 1 ) ∣ ≤ M , ∣ − 2 f ( 2 1 ) ∣ ≤ 2 M , ∣ 2 f ( − 2 1 ) ∣ ≤ 2 M , and ∣ − f ( − 1 ) ∣ ≤ M , which gives us the inequalities ∣ 1 + a + b + c ∣ ∣ ∣ ∣ ∣ − 4 1 − 2 1 a − b − 2 c ∣ ∣ ∣ ∣ ∣ ∣ ∣ ∣ − 4 1 + 2 1 a − b + 2 c ∣ ∣ ∣ ∣ ∣ 1 − a + b − c ∣ ≤ M , ≤ 2 M , ≤ 2 M , ≤ M .
Adding these inequalities and applying the triangle inequality, we get 2 3 ≤ 6 M , so M ≥ 4 1 .
For f ( x ) = x 3 − 4 3 x , it is easy to check that x ∈ [ − 1 , 1 ] max ∣ f ( x ) ∣ = 4 1 , so min f ∈ F max x ∈ [ − 1 , 1 ] ∣ f ( x ) ∣ = 4 1 .