Understanding the Use of Min in Cauchy Sequences

In summary, the conversation discusses Tao's definition of a real number as the formal limit of a Cauchy sequence and the purpose of using the min function in the proof of a proposition. The min function is used to ensure that the sequence is eventually steady and to eventually replace formal limits with actual limits in the construction of real numbers.
  • #1
yucheng
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Homework Statement
Proposition 5.3.10 (Multiplication is well defined). Let ##x = \mathrm{LIM}_{n\to\infty} a_n##, ##y = \mathrm{LIM}_{n\to\infty} b_n##, and ##x' = \mathrm{LIM}_{n\to\infty} a'_n## be real numbers. Then xy is also a real number. Furthermore, if x=x', then xy=x'y.
Relevant Equations
N/A
I refer to this page: https://taoanalysis.wordpress.com/2020/03/26/exercise-5-3-2/

Since ##(a_n)_{n=1}^\infty## is Cauchy, for ##\varepsilon' := \min\left(\frac{\varepsilon}{3M_2}, \frac\varepsilon 3\right)## we see that this sequence is eventually ##\varepsilon'-steady##. Similarly, since ##(b_n)_{n=1}^\infty is Cauchy##, for ##\delta := \min\left(\frac{\varepsilon}{3M_1}, 1\right)## the sequence is eventually ##\delta##-steady.

I am having trouble understanding the purpose / motivation behind using the min as in ##\delta := \min\left(\frac{\varepsilon}{3M_1}, 1\right)## and ##\varepsilon' := \min\left(\frac{\varepsilon}{3M_2}, \frac\varepsilon 3\right)##. Please enlighten me.

Thanks in advance.

Edit:
As per @Stephen Tashi 's suggestion, Tao defines a real number, ##x##, ##x=\operatorname{LIM_{n\to\infty}} a_n## which is the formal limit of a Cauchy sequence ##(a_n)_{n=1}^\infty##. A Cauchy sequence being for each ##\epsilon>0##, we can find an N such that for all ##j,k\geq N##, we have ##|a_j-a_k|\leq \epsilon##.

P.S. formal limit is very much akin to limit. It is just a "scaffold" as Tao puts it, that will be replaced by the notion of limits.
 
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  • #2
I suggest you explain the proposition to be proved by giving the necessary background information. In particular, what is the definition of the "LIM" concept?

In glancing at a video review of Terrance Tao's analysis books, I find that at 3:03 in
we see a page that says

However, unlike our work in constructing the integers (where we eventually replaced formal differences with actual differences) and rationals (where we eventually replaced formal quotients with actual quotients) we never really finished the job of constructing the real numbers, because we never got around to replacing formal limits ##LIM_{n \rightarrow \infty} a_n## with actual limits ##lim_{n_\rightarrow \infty} a_n##.
 

1. What is a Cauchy sequence?

A Cauchy sequence is a sequence of numbers in which the terms become closer and closer together as the sequence progresses. This means that for any given distance, there is a point in the sequence where all subsequent terms are within that distance of each other.

2. What is the significance of understanding the use of "min" in Cauchy sequences?

The use of "min" in Cauchy sequences is important because it allows us to define a specific point in the sequence where all subsequent terms are within a certain distance of each other. This helps us to prove the convergence of the sequence and understand its behavior.

3. How is "min" used in Cauchy sequences?

In Cauchy sequences, "min" is used to determine the minimum distance between terms in the sequence. This minimum distance is then used to define the point in the sequence where all subsequent terms are within that distance of each other.

4. What is the difference between "min" and "inf" in Cauchy sequences?

"Min" and "inf" both refer to the minimum value in a set of numbers. However, "min" is used to find the minimum distance between terms in a Cauchy sequence, while "inf" is used to find the minimum value in a set of numbers.

5. How does understanding the use of "min" in Cauchy sequences relate to real-world applications?

Understanding the use of "min" in Cauchy sequences can be applied to various real-world situations, such as in engineering, physics, and economics. For example, in engineering, it can be used to analyze the stability and convergence of numerical methods. In physics, it can be used to understand the behavior of waves and oscillations. In economics, it can be used to analyze market trends and predict future outcomes.

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