Given #{r,s,u,v} in RR^4# Prove that #min {r-s^2,s-u^2,u-v^2,v-r^2} le 1/4#?

Answer 1

See explanation...

First note that if #r = s = u = v = t# then we are seeking to maximise:
#t-t^2 = 1/4-(1/4-t+t^2) = 1/4-(t-1/2)^2#
so the maximum #1/4# occurs when #t = 1/2#

Let:

#{ (a = r-1/2), (b = s-1/2), (c = u-1/2), (d = v-1/2) :}#

Then:

#{ (r-s^2-1/4 = a+1/2 - (b+1/2)^2 - 1/4 = a-b-b^2), (s - u^2-1/4 = b+1/2 - (c+1/2)^2 - 1/4 = b-c-c^2), (u - v^2-1/4 = c+1/2 - (d+1/2)^2 - 1/4 = c-d-d^2), (v - r^2-1/4 = d+1/2 - (a+1/2)^2 - 1/4 = d-a-a^2) :}#

Note that #a^2 >= 0#, #b^2 >= 0#, #c^2 >= 0# and #d^2 >= 0#, so if all of the above expressions are non-negative, then:
#a >= b >= c >= d >= a#
Hence #a=b=c=d# and we are back to #r = s = u = v#
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Answer 2

To prove that (\min{r - s^2, s - u^2, u - v^2, v - r^2} \leq \frac{1}{4}) for (r, s, u, v \in \mathbb{R}^4), we can proceed as follows:

  1. We'll assume the contrary, that is, suppose (\min{r - s^2, s - u^2, u - v^2, v - r^2} > \frac{1}{4}).

  2. Since this minimum value is greater than (\frac{1}{4}), it follows that each of the individual terms in the set is also greater than (\frac{1}{4}).

  3. Therefore, we have: [ \begin{align*} &r - s^2 > \frac{1}{4} \ &s - u^2 > \frac{1}{4} \ &u - v^2 > \frac{1}{4} \ &v - r^2 > \frac{1}{4} \end{align*} ]

  4. Summing all these inequalities gives: [ r - s^2 + s - u^2 + u - v^2 + v - r^2 > 1 ]

  5. Simplifying, we get: [ r - r^2 - s^2 + s - u^2 + u - v^2 + v > 1 ]

  6. Rearranging terms, we obtain: [ (r + s + u + v) - (r^2 + s^2 + u^2 + v^2) > 1 ]

  7. Now, we can use the Cauchy-Schwarz Inequality to simplify: [ (r + s + u + v)^2 \leq 4(r^2 + s^2 + u^2 + v^2) ]

  8. Substituting this inequality into the previous expression, we get: [ 4(r^2 + s^2 + u^2 + v^2) - (r^2 + s^2 + u^2 + v^2) > 1 ]

  9. Simplifying further: [ 3(r^2 + s^2 + u^2 + v^2) > 1 ]

  10. Since the sum of squares of real numbers is always non-negative, the left-hand side of this inequality is non-negative.

  11. But the right-hand side is positive, which leads to a contradiction.

  12. Hence, our initial assumption that (\min{r - s^2, s - u^2, u - v^2, v - r^2} > \frac{1}{4}) must be false.

  13. Therefore, (\min{r - s^2, s - u^2, u - v^2, v - r^2} \leq \frac{1}{4}).

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Answer 3

To prove that (\min{r - s^2, s - u^2, u - v^2, v - r^2} \leq \frac{1}{4}) for (r, s, u, v \in \mathbb{R}^4), we can consider the maximum value that any of the terms in the set can take.

Let's assume, for the sake of contradiction, that (\min{r - s^2, s - u^2, u - v^2, v - r^2} > \frac{1}{4}). This implies that each of the terms in the set is greater than (\frac{1}{4}).

Without loss of generality, let's consider (r - s^2 > \frac{1}{4}). This means (r > \frac{1}{4} + s^2). Similarly, we can derive that (s > \frac{1}{4} + u^2), (u > \frac{1}{4} + v^2), and (v > \frac{1}{4} + r^2).

Adding all these inequalities together, we get:

(r + s + u + v > \frac{1}{4} + s^2 + \frac{1}{4} + u^2 + \frac{1}{4} + v^2 + \frac{1}{4} + r^2).

Simplifying, we have:

(r + s + u + v > \frac{1}{4} + \frac{1}{4} + \frac{1}{4} + \frac{1}{4} + s^2 + u^2 + v^2 + r^2).

(r + s + u + v > 1 + (s^2 + u^2 + v^2 + r^2)).

However, this contradicts the fact that the sum of any four real numbers squared is always greater than or equal to 1 (Cauchy-Schwarz inequality). Therefore, our assumption that (\min{r - s^2, s - u^2, u - v^2, v - r^2} > \frac{1}{4}) is incorrect, and the statement is proved.

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Answer from HIX Tutor

When evaluating a one-sided limit, you need to be careful when a quantity is approaching zero since its sign is different depending on which way it is approaching zero from. Let us look at some examples.

When evaluating a one-sided limit, you need to be careful when a quantity is approaching zero since its sign is different depending on which way it is approaching zero from. Let us look at some examples.

When evaluating a one-sided limit, you need to be careful when a quantity is approaching zero since its sign is different depending on which way it is approaching zero from. Let us look at some examples.

When evaluating a one-sided limit, you need to be careful when a quantity is approaching zero since its sign is different depending on which way it is approaching zero from. Let us look at some examples.

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