Thinking of a lower bound for a function

In summary, a function ##f:\mathbb{R}^3_+\to[0,1]## defined as ##f(\lambda,\beta,x)=1-e^{-\frac{\lambda}{\beta}\left(1-e^{-\beta x}\right)}## serves as a lower bound and integration can be problematic with its nested exponential structure. Suggestions were made for alternative functions, such as using approximations or a simpler function ##g(x)=(1-e^{-\frac{\lambda}{\beta}})\cdot\min(\frac{1}{e},1-e^{-\beta x})##. Finally, a better bound was found: ##f(\lambda,\beta,x)>(1-e^{-\frac{\lambda}{
  • #1
TaPaKaH
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A function ##f:\mathbb{R}^3_+\to[0,1]## defined as ##f(\lambda,\beta,x)=1-e^{-\frac{\lambda}{\beta}\left(1-e^{-\beta x}\right)}## serves a lot of pain under integration.
As this function is used to describe a lower bound, could anyone suggest another non-zero function that would be smaller than ##f##?
 
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  • #2
Making f smaller <-> making the outer exponential larger <-> making the argument larger <-> making the negative argument smaller <-> making the inner exponential larger
Hmm, bad direction.

You can use approximations like ##e^{-x}<max\left(\frac{1}{e},1-\frac{x}{2}\right)## for example (possible for both exponentials), but I'm not sure if that makes calculations easier.
 
  • #3
Having one exponential is perfectly acceptable, it's the ##\exp(...\exp(...))## bit that's causing the integration problems.
It seems that ##g(x)=(1-e^{-\frac{\lambda}{\beta}})\cdot\min(\frac{1}{e},1-e^{-\beta x})## is a good enough lower bound. Thank you.

EDIT: Just found an even better bound: ##f(\lambda,\beta,x)>(1-e^{-\frac{\lambda}{\beta}})(1-e^{-\beta x})##.
 
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  • #4
This is equivalent to $$1-q^r > (1-q)r$$ for 0<r,q<1. I don't find a counterexample, but I wonder why this is true (and how to show it).

(##q=\exp(-\frac \lambda \beta)## and ##r=1-\exp(-\beta x)##)
 
  • #6
Ah nice. It needs some re-writing, but then it is really just Bernoulli's inequality. Thanks.
 

1. What does it mean to think of a lower bound for a function?

Thinking of a lower bound for a function means determining the smallest possible value that the function can output for a given set of inputs. It is used to understand the minimum performance or efficiency of a function.

2. How is a lower bound for a function calculated?

A lower bound for a function is usually calculated by analyzing the function's properties and its relationship with other functions. This can involve using mathematical techniques such as limits, derivatives, or inequalities.

3. Why is it important to consider a lower bound for a function?

Considering a lower bound for a function is important because it helps us understand the limitations of the function and its potential for improvement. It also provides a benchmark for evaluating the performance of the function and comparing it with other functions.

4. Can a function have multiple lower bounds?

Yes, a function can have multiple lower bounds. This is because there can be multiple minimum values that a function can output for different sets of inputs. However, there is always a global lower bound, which is the smallest value that the function can output for all possible inputs.

5. How does a lower bound differ from an upper bound?

A lower bound is the smallest possible value that a function can output, while an upper bound is the largest possible value. In other words, a lower bound represents the minimum performance of a function, while an upper bound represents its maximum performance.

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