Proofing Boundedness: Explaining the Sign Change

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In summary, the conversation discusses determining the truth of statements about the sum and product of two functions from R to R. It also addresses the question of why the signs change in the equation |(f+g)^2-2fg| ≤ (f+g)^2+|2fg| and why (f+g)^2 is chosen. The conclusion is that if f+g is bounded, then (f+g)^2 is also bounded, but the converse is not necessarily true for fg.
  • #1
Robb
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Homework Statement


Let f and g be functions from R to R. For the sum and product of f and g, determine which statements below are true. If true, provide proof; if false provide counterexample.

e) If both f + g and fg are bounded, then f and g are bounded.

Homework Equations


I don't understand how to go from abs[(f(x) + g(x))^2 - 2f(x)g(x)] to abs[(f(x) + g(x))^2 +2f(x)g(x)]
Why/how do the signs change?
 

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  • #2
Robb said:
Why/how do the signs change?
You have not correctly transcribed the step. It is
|(f+g)2-2fg| ≤ (f+g)2+|2fg|
This is just an example of |a+b|≤|a|+|b|
 
  • #3
ok. Next question, why is (f(x) + g(x))^2 chosen? When I first worked this problem I used this: abs(f(x) + g(x))=< abs(f(x)g(x))=< M+N =< MN, where m,n > 0. Hence, f & g are bounded.
 
  • #4
Robb said:
abs(f(x) + g(x))=< abs(f(x)g(x))
Try f=0, g=1.
 
  • #5
RIght. What leads to thinking (f(x) + g(x))^2? Trial and error? Guessing?
 
  • #6
Robb said:
RIght. What leads to thinking (f(x) + g(x))^2? Trial and error? Guessing?
Given a problem involving the sum and product of the same two variables, x and y, it is natural to play around with (x+y)2 and (x-y)2.
 
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  • #7
Robb said:
RIght. What leads to thinking (f(x) + g(x))^2? Trial and error? Guessing?

No guessing needed: if ##f+g## is bounded, then ##-M \leq f+g \leq M## for some finite ##M > 0##. Thus, ##0 \leq (f+g)^2 \leq M^2,## so ##(f+g)^2## is bounded.
 
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  • #8
Just note that fg being bounded by itself does not imply boundedness of f,g: f(x)= ##x^2+1 , g(x)= \frac {1}{x^2+1}##
 
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Related to Proofing Boundedness: Explaining the Sign Change

What is "Proofing Boundedness: Explaining the Sign Change"?

"Proofing Boundedness: Explaining the Sign Change" is a mathematical concept that refers to the process of proving that a function is bounded, or that its values are limited within a certain range. It also involves explaining why the sign of the function changes at a certain point.

Why is it important to prove boundedness and explain the sign change of a function?

Proving boundedness and explaining the sign change of a function is important because it helps us understand the behavior of the function and its limitations. It also allows us to make accurate predictions and draw conclusions about the function.

What are some common methods used to prove boundedness and explain the sign change of a function?

Some common methods used to prove boundedness and explain the sign change of a function include using the Intermediate Value Theorem, the Mean Value Theorem, and the First and Second Derivative Tests. These methods involve analyzing the function and its derivatives to determine its behavior and limitations.

Are there any limitations or exceptions when using these methods to prove boundedness and explain the sign change of a function?

Yes, there can be limitations or exceptions when using these methods. For example, some functions may not be continuous or differentiable, which can make it difficult to apply these methods. It is important to carefully analyze the function and consider any potential limitations or exceptions when using these methods.

How can understanding "Proofing Boundedness: Explaining the Sign Change" be useful in real-world applications?

Understanding "Proofing Boundedness: Explaining the Sign Change" can be useful in many real-world applications, such as in economics, physics, and engineering. It allows us to make accurate predictions and analyze the behavior of various systems and processes. For example, in economics, understanding the boundedness and sign change of a demand function can help businesses make pricing and production decisions. In physics, it can help us understand the behavior of objects in motion. In engineering, it can help us design and optimize systems and structures.

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