Technique of decomposing a real interval into intervals

In summary, the technique of decomposing a real interval into intervals with rational endpoints is commonly used. The cases of half-open and half-closed intervals may seem confusing, but it does not matter whether we use [0, q) or [0, q] in the union because there will always be a rational number between them. For the case of [0, t], we should use an intersection and we can choose either [0, q) or [0, q] for the intervals. This ensures that t is contained in the intersection but no number greater than t is included.
  • #1
wayneckm
68
0
Hello all,

I always come across the technique of decomposing a real interval into intervals with rational end point, however, I am a bit confused with the half-open/half-closed cases. For example,

[tex] [0,t) = \cup_{q < t, q \in \mathbb{Q}} [0,q) [/tex]. And for the case of [tex] [0,t] [/tex], we can only construct from using "outer sense", meaning that using all rational [tex] q > t [/tex]?

Also, what is the set of [tex] \cup_{q < t, q \in \mathbb{Q}} [0,q] [/tex]?

Thanks.
 
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  • #2


Actually I don't think it matters if you take [0, q) or [0, q] in the union, because there will always be a rational number arbitrarily close but smaller than t. In other words, for any [itex]q < t, q \in \mathbb{Q}[/itex] you can always find [itex]q' \in \mathbb{Q}[/itex] such that q < q' < t.

For the case of [0, t] I think you should be taking an intersection, like
[tex][0, t] = \cap_{q > t, q \in \mathbb{Q}} [0, q)[/tex]
(or, again, [0, q] will do).
You can check that t will be contained in the intersection (it is in every interval of the form [0, q) with q > t) but no number t' > t is (because you can always find a rational q such that t < q < t').
 

1. What is the technique of decomposing a real interval into intervals?

The technique of decomposing a real interval into intervals, also known as interval decomposition, is a mathematical process of breaking down a given interval into smaller sub-intervals. This is often used in calculus and other branches of mathematics to simplify calculations and solve complex problems.

2. Why is interval decomposition important?

Interval decomposition is important because it allows us to break down a complex problem into smaller, more manageable parts. It also helps us to better understand the behavior and properties of functions within a given interval.

3. How is interval decomposition done?

The process of interval decomposition involves dividing an interval into smaller sub-intervals of equal size. This can be done by using a specific number of sub-intervals or by using a specific size for each sub-interval. The resulting sub-intervals can then be used to approximate the original interval or to solve a mathematical problem within that interval.

4. What are some applications of interval decomposition?

Interval decomposition has various applications in mathematics, including in calculus, numerical methods, and optimization problems. It is also used in physics, engineering, and other fields where the behavior of functions within a given interval needs to be understood and analyzed.

5. Are there any limitations to interval decomposition?

Yes, there are some limitations to interval decomposition. One limitation is that the resulting sub-intervals may not accurately represent the original interval or function. This can lead to errors in calculations or solutions. Another limitation is that interval decomposition may not be applicable to all types of functions or problems. It is important to carefully consider the limitations and potential errors when using this technique.

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