Math Problem Statement

we say that function f is BETTER than function g if: for every real number x, there exists a real number y such that x < y AND f(y) - g(y) < 1/2

we say that function f is SIMPLER than function g if: there exists a real number x such that for every real number y, x < y => f(y) - g(y) < 1/2

CLAIM 1 PROVE THAT "if f and g are any two NON-CONSTANT functions and f is better than g, then f is simpler than g.”

Solution

To prove that "if ff and gg are any two non-constant functions and ff is better than gg, then ff is simpler than gg", we need to carefully analyze the definitions provided and show how they lead from the first condition to the second.

Definitions Recap:

  • ff is better than gg if:
    For every real number xx, there exists a real number yy such that x<yx < y and f(y)g(y)<12f(y) - g(y) < \frac{1}{2}.

  • ff is simpler than gg if:
    There exists a real number x0x_0 such that for every real number yy, x0<yx_0 < y implies f(y)g(y)<12f(y) - g(y) < \frac{1}{2}.

Proof:

We assume that ff is better than gg and aim to prove that ff is also simpler than gg.

  1. Step 1: Analyze the “better” condition
    Since ff is better than gg, by definition, for every real number xx, there exists a yxy_x such that x<yxx < y_x and f(yx)g(yx)<12f(y_x) - g(y_x) < \frac{1}{2}.

    This means that no matter how large xx gets, we can always find a yx>xy_x > x where the difference between f(yx)f(y_x) and g(yx)g(y_x) is less than 12\frac{1}{2}.

  2. Step 2: Intuitively approaching the "simpler" condition
    To prove that ff is simpler than gg, we need to find a real number x0x_0 such that for every y>x0y > x_0, f(y)g(y)<12f(y) - g(y) < \frac{1}{2}.

    Let's assume the contrary, that there is no such x0x_0. This would mean that for every x0x_0, there exists some y>x0y > x_0 such that f(y)g(y)12f(y) - g(y) \geq \frac{1}{2}. But this contradicts the fact that ff is better than gg, because being "better" guarantees that we can always find y>x0y > x_0 such that f(y)g(y)<12f(y) - g(y) < \frac{1}{2}. Thus, such an x0x_0 must exist.

  3. Step 3: Constructing x0x_0
    Since ff is better than gg, for each xx, there exists a yx>xy_x > x such that f(yx)g(yx)<12f(y_x) - g(y_x) < \frac{1}{2}.
    Let us take a sequence of values xnx_n \to \infty, and for each xnx_n, find the corresponding yn>xny_n > x_n where f(yn)g(yn)<12f(y_n) - g(y_n) < \frac{1}{2}. This sequence {yn}\{y_n\} tends to infinity as nn \to \infty (because xnx_n \to \infty).

    Since for each nn, we have f(yn)g(yn)<12f(y_n) - g(y_n) < \frac{1}{2}, we can conclude that eventually, for some sufficiently large x0x_0, for every y>x0y > x_0, f(y)g(y)<12f(y) - g(y) < \frac{1}{2}. This is the "simpler" condition.

  4. Step 4: Conclusion
    Thus, we have shown that the condition for ff being "better" than gg implies the existence of an x0x_0 such that for every y>x0y > x_0, f(y)g(y)<12f(y) - g(y) < \frac{1}{2}, proving that ff is also "simpler" than gg.

Q.E.D.\boxed{\text{Q.E.D.}}

Do you need further details or have any questions?

Here are 5 related questions:

  1. Can you give examples of functions where one is better but not simpler?
  2. How does the proof change if the condition f(y)g(y)<12f(y) - g(y) < \frac{1}{2} is replaced by a different bound?
  3. What happens if we weaken the condition for ff being better than gg?
  4. Can we extend this result to cases where ff and gg are constant functions?
  5. How can we use this concept of "better" and "simpler" functions in optimization theory?

Tip: When proving implications in mathematical logic, it helps to first assume the contrary and look for a contradiction in the original conditions.

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Math Problem Analysis

Mathematical Concepts

Real Analysis
Inequalities
Function Comparison

Formulas

f(y) - g(y) < 1/2
x < y

Theorems

Existence of limits
Contradiction proof technique

Suitable Grade Level

Undergraduate/Graduate (Advanced Mathematics)