Can We Find an Elegant Solution For a Less Than Function?

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In summary, the conversation is discussing the possibility of finding a function g(f(x)) that is always less than f(x). There are multiple approaches, but some may require stipulations which are seen as inelegant. The challenge is to find the most natural and elegant solution. It is suggested that analyzing the maximum, minimum, and "up/down domain" of the functions can help determine which one is "over" or "under." The conversation also touches on finding the derivatives and coordinates to solve the problem.
  • #1
matthewknight
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A challenge:

For a function f(x), does there exist a function g(f(x)) such that the outputted function is always less than f(x)?

There are a couple of approaches, but the immediate ones are at first glance quite inelegant requiring stipulations to be introduced. The challenge is to find the most natural solution--the most elegant. Any takers?

Admittedly, there is probably an extremely simple answer that I am overlooking.
 
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  • #2
g(x) = -2x if x>0, 2x if x<0, -1 if x=0.
 
  • #3
mmmboh said:
g(x) = -2x if x>0, 2x if x<0, -1 if x=0.

Those pesky, inelegant stipulations I was talking about... :)
 
  • #4
matthewknight said:
A challenge:

For a function f(x), does there exist a function g(f(x)) such that the outputted function is always less than f(x)?
What comes out is a number, not a function.

If g(x) = x - 1, g(f(x)) will always be less (by 1) than f(x), since g(f(x)) = f(x) - 1.
matthewknight said:
There are a couple of approaches, but the immediate ones are at first glance quite inelegant requiring stipulations to be introduced. The challenge is to find the most natural solution--the most elegant. Any takers?

Admittedly, there is probably an extremely simple answer that I am overlooking.
 
  • #5
After analyzing the function and knowing their maximum\minimum etc' you can show that
when g(x)>/</=f(x)

This is how you approach this in high school anyway...
 
  • #6
raam86 said:
After analyzing the function and knowing their maximum\minimum etc' you can show that
when g(x)>/</=f(x)
What does this notation (>/</=) mean?

Is this saying that g(x) > f(x) OR g(x) < f(x) OR g(x) = f(x)?
If so, that doesn't tell us much. The Archimedean Trichotomy says that given any two real numbers a and b, then exactly one of the following must be true.
1. a < b
2. a = b
3. a > b
 
  • #7
Of course this is true. What I mean is ,assuming this is high school - college level etc', After you know max\min and "up\down domain"*
you will know which function is "over" or under".
let y=x+2 be f(x) and y=ln(x) g(x)
http://www.wolframalpha.com/input/?i=plot+y=ln(x),+y=x+2&asynchronous=false&equal=Submit

It is easy to so that when x>-1.5 f(x)>g(x)

---

When doing it by hand you can find the derivatives, x\y 0 coordinates etc'*

*Sorry got a language problem here. Not sure what is the technical term in English.
 
Last edited:

1. What is a "less than" function?

A "less than" function is a mathematical operation that compares two numbers and returns a boolean value of true or false. It is denoted by the symbol <, and it indicates that the first number is smaller than the second number.

2. Why is finding an elegant solution for a "less than" function important?

Finding an elegant solution for a "less than" function is important because it is a fundamental operation in mathematics and is used in many real-life applications. Having an efficient and elegant solution can improve the speed and accuracy of calculations.

3. Can an elegant solution for a "less than" function be found?

Yes, it is possible to find an elegant solution for a "less than" function. Many mathematicians and computer scientists have worked on developing efficient and elegant algorithms for this operation.

4. What are some factors that make a solution for a "less than" function elegant?

An elegant solution for a "less than" function is typically characterized by its simplicity, efficiency, and elegance in terms of mathematical reasoning. It should also consider edge cases and handle them appropriately.

5. How can an elegant solution for a "less than" function be used in real-life applications?

An elegant solution for a "less than" function can be used in various applications, such as sorting algorithms, data analysis, and computer programming. It can also be applied in fields such as finance, physics, and engineering to solve complex problems.

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