How can we prove the inequality for the supremum and infimum of f*g and f*g?

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SUMMARY

The forum discussion centers on proving the inequality for the supremum and infimum of the product of two functions, specifically in the context of Theorem 6.2.8 from J. J. Duistermaat and J. A. C. Kolk's "Multidimensional Analysis Vol. II". The proof involves utilizing definitions from Joseph L. Taylor's "Foundations of Analysis", where the supremum and infimum of a function over a set are defined. The conclusion drawn is that the inequality sup_B fg - inf_B fg ≤ sup_B f sup_B g - inf_B f inf_B g holds true, supported by logical arguments regarding the properties of supremum and infimum.

PREREQUISITES
  • Understanding of Riemann integrable functions with compact support
  • Familiarity with the definitions of supremum and infimum from real analysis
  • Knowledge of basic properties of functions and their products
  • Experience with mathematical proofs and inequalities
NEXT STEPS
  • Study the proof of Theorem 6.2.8 in J. J. Duistermaat and J. A. C. Kolk's "Multidimensional Analysis Vol. II"
  • Review Joseph L. Taylor's "Foundations of Analysis" for definitions of supremum and infimum
  • Explore the properties of products of functions in real analysis
  • Practice formulating rigorous proofs in real analysis
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Mathematicians, students of real analysis, and anyone interested in understanding the properties of supremum and infimum in the context of function products.

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I am reading J. J. Duistermaat and J. A. C. Kolk: Multidimensional Analysis Vol.II Chapter 6: Integration ...

I need help with the proof of Theorem 6.2.8 Part (iii) ...The Definition of Riemann integrable functions with compact support and Theorem 6.2.8 and a brief indication of its proof reads as follows:
D&K ... Defn 6.2.7 and Theorem 6.2.8 .png

D&K ... Defn 6.2.7 and Theorem 6.2.8  ... PART II .png
The definition of supremum and infimum are given in the following text from D&K Vol. I ...
D&K ... Theorem 1.6.1 including Defn of Sup A .png

I cannot locate D&K's definition of sup and inf for functions so I am taking the definition from Joseph L. Taylor's book, "Foundations of Analysis".

Taylor's definition reads as follows:

If [math]f: X \to \mathbb{R}[/math] is a real-valued function and [math] A \subset X [/math] ... ... ...

... then we define ..

[math] \text{ sup}_B = \text{sup} \{ f(x) \ | \ x \in B \} [/math]

and

[math] \text{ inf}_B = \text{inf} \{ f(x) \ | \ x \in B \} [/math]
I need help to formulate a detailed, formal and rigorous proof that [math] \text{ sup}_B \ fg - \text{ inf}_B \ fg \leq \text{ sup}_B \ f \text{ sup}_B \ g \ - \ \text{ inf}_B \ f \text{ inf}_B \ g [/math]I have been unable to make a meaningful start on this proof ...Help will be much appreciated ...

Peter
 
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For every $x\in B$, $f(x) \leqslant \sup_B f$ and $g(x) \leqslant \sup_B g$. Therefore $(fg)(x) = f(x)g(x) \leqslant \sup_B f \sup_B g$. Now take the sup over $B$ to get $\sup_B fg \leqslant \sup_B f \sup_B g$. A similar argument shows that $\inf_B fg \geqslant \inf_B f \inf_B g$ and so $-\inf_B fg \leqslant -\inf_B f \inf_B g$.
 
Thanks Opalg …

… very much appreciate your help …

Just reflecting on what you have written …

Peter
 

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