Min Max Cubics

Algebra Level 5

Let F \mathfrak{F} be the set of all monic cubic polynomials with real coefficients. Then what is

min f F max x [ 1 , 1 ] f ( x ) ? \min_{f \in \mathfrak{F}} \max_{x\in [-1,1]} |f(x)| ?

1 8 \frac{1}{8} 1 1 \frac{1}{1} 1 2 \frac{1}{2} 1 9 \frac{1}{9} 1 3 \frac{1}{3} 1 16 \frac{1}{16} 1 6 \frac{1}{6} 1 4 \frac{1}{4}

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2 solutions

Jon Haussmann
Jan 20, 2015

Let f ( x ) = x 3 + a x 2 + b x + c f(x) = x^3 + ax^2 + bx + c , and let M = max x [ 1 , 1 ] f ( x ) M = \max_{x \in [-1,1]} |f(x)| . Then f ( 1 ) M |f(1)| \le M , f ( 1 2 ) M |f(\frac{1}{2})| \le M , f ( 1 2 ) M |f(-\frac{1}{2})| \le M , and f ( 1 ) M |f(-1)| \le M . It follows that f ( 1 ) M |f(1)| \le M , 2 f ( 1 2 ) 2 M |-2f(\frac{1}{2})| \le 2M , 2 f ( 1 2 ) 2 M |2f(-\frac{1}{2})| \le 2M , and f ( 1 ) M |-f(-1)| \le M , which gives us the inequalities 1 + a + b + c M , 1 4 1 2 a b 2 c 2 M , 1 4 + 1 2 a b + 2 c 2 M , 1 a + b c M . \begin{aligned} |1 + a + b + c| &\le M, \\ \left| -\frac{1}{4} - \frac{1}{2} a - b - 2c \right| &\le 2M, \\ \left| -\frac{1}{4} + \frac{1}{2} a - b + 2c \right| &\le 2M, \\ |1 - a + b - c| &\le M. \end{aligned}

Adding these inequalities and applying the triangle inequality, we get 3 2 6 M , \frac{3}{2} \le 6M, so M 1 4 M \ge \frac{1}{4} .

For f ( x ) = x 3 3 4 x f(x) = x^3 - \frac{3}{4} x , it is easy to check that max x [ 1 , 1 ] f ( x ) = 1 4 , \max_{x \in [-1,1]} |f(x)| = \frac{1}{4}, so min f F max x [ 1 , 1 ] f ( x ) = 1 4 \min_{f \in \mathfrak{F}} \max_{x \in [-1,1]} |f(x)| = \frac{1}{4} .

Hm, interesting approach. What motivated the substitution of 1 2 \frac{1}{2} and 1 2 \frac{1}{2} ?

Also, care to generalize to n-degree polynomials?

Calvin Lin Staff - 6 years, 4 months ago

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For f ( x ) = x 3 3 4 x f(x) = x^3 - \frac{3}{4} x , f ( x ) = 1 4 |f(x)| = \frac{1}{4} exactly for x = 1 x = -1 , 1 2 -\frac{1}{2} , 1 2 \frac{1}{2} , and 1 1 , so these are the key values that will prove that M 1 4 M \ge \frac{1}{4} .

Jon Haussmann - 6 years, 4 months ago

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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 ± 1 2 \pm \frac{1}{2} came from, and why the answer is 1 4 \frac{1}{4} .

Calvin Lin Staff - 6 years, 4 months ago

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

Julian Poon - 6 years, 4 months ago
Calvin Lin Staff
Jan 20, 2015

Sorry, the answer should have been 1 4 \frac{1}{4} , instead of 1 8 \frac{1}{8} . It has been updated.


[Read this solution in parts, and see if you can guess the next step.]

Suppose that F ( x ) F(x) is the monic cubic polynomial that gives us the minimum, and that the answer is S S . What can we likely say about F ( x ) F(x) ?

  • It makes sense that the polynomial should twist and turn about in the region [ 1 , 1 ] [-1, 1] . We most likely have 2 turning points here.
  • It seems likely that F ( 1 ) = S F(1) = S , else we can jiggle the graph slightly. Similarly, F ( 1 ) = S F(-1) = - S .
  • At the turning points, we should also have F ( x ) = S |F(x) | = S , else jiggle again.

Thus, the graph "should" look like this:

What does it remind you of? Can you guess what F ( x ) 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 ) F(x) = x (x-a) ( x + a) , where a a is to be determined such that F ( 1 ) F(1) is equal to the local maximum. The maximum occurs at x = 2 a / 3 x = - \sqrt{ 2a/3} , and thus a = 3 / 2 a = \sqrt{ 3} / 2 . We obtain the polynomial F ( x ) = x 3 3 / 4 x 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 . T_3 (x) = \cos ( 3 arccos x ) = 4x^3 - 3x.

From the definition, we know that the local maximum is equal to T 3 ( 1 ) = 1 T_3 (1) = 1 .

Since we want a monic polynomial, let's divide by the leading coefficient to obtain S 3 ( x ) = 1 4 T 3 ( x ) S_3 (x) = \frac{1}{4} T_3(x) , with the claim that the answer is equal to 1 4 T 3 ( 1 ) = 1 4 \frac{1}{4} T_3 (1) = \frac{1}{4} .

Proof: From the definition, we know that S 3 ( 1 ) = S 3 ( cos 2 π 3 ) = 1 4 S_3 ( 1) = S_3 ( \cos \frac{2\pi}{3} ) = \frac{1}{4} and S 3 ( 1 ) = S 3 ( cos π 3 ) = 1 4 S_3 ( -1) = S_3 ( \cos \frac{ \pi}{3} ) = - \frac{ 1}{4} . Suppose we have another monic cubic polynomial M ( x ) M(x) which produces a smaller absolute max M M . Consider N ( x ) = S ( x ) M ( x ) 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 ( 1 2 ) > 0 , N ( 1 2 ) < 0 , N ( 1 ) > 0 N(-1) < 0, N( - \frac{1}{2} ) > 0 , N (\frac{1}{2} ) < 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 ) T_n(x) = \cos ( n arccos x ) , which has leading coefficient 2 n 1 2^{n-1} . Let S n ( x ) = 1 2 n 1 T n ( x ) S_n(x) = \frac{1}{ 2^{n-1} } T_n(x) . Then, the values of S n S_n at the points 1 , cos π n , cos 2 π n , , cos ( n 1 ) π n , 1 1, \cos \frac{\pi}{n}, \cos \frac{2\pi}{n} , \ldots , \cos \frac{ (n-1) \pi } { n} , - 1 are alternatively 1 2 n 1 \frac{1}{ 2^{n-1} } and 1 2 n 1 - \frac{ 1}{ 2^{n-1} } by definition of cos θ \cos \theta .

Now, suppose that there is another monic degree n polynomial M ( x ) M(x) which produces a smaller absolute max M M . Considering N ( x ) = S ( x ) M ( x ) N(x) = S(x) - M(x) which has degree at most n 1 n-1 . However, N ( x ) N(x) has a turning point in each of these n n intervals ( cos ( k + 1 ) π n , cos k π n ) ( \cos \frac{ (k+1) \pi } { n} , \cos \frac{k\pi}{n} ) , and thus it has degree at least n n , which is a contradiction.

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