Duistermaat & Kolk .... Vol II .... Proposition 6.1.2

  • MHB
  • Thread starter Math Amateur
  • Start date
In summary: B'$ and $B''$, will be counted only once in $B$. This is why the equality (*) holds.I hope this helps clarify the proof for you. If you have any further questions, please let me know. In summary, the proof of Proposition 6.1.2 shows that when we take the union of two sets defined by inequalities, the volume of the resulting set is equal to the sum of the volumes of the individual sets minus the volume of their intersection.
  • #1
Math Amateur
Gold Member
MHB
3,990
48
I am reading Multidimensional Real Analysis II (Integration) by J.J. Duistermaat and J.A.C. Kolk ... and am focused on Chapter 6: Integration ...

I need some help with the proof of Proposition 6.1.2 ...

Proposition 6.1.2 reads as follows:
1644330151946.png


Definitions and text preliminary to the Proposition reads as follows:

Duistermaat & Kolk_Vol II ... Prelim text No. 1 to Proposition 6.1.2 .png

Duistermaat & Kolk_Vol II ... Prelim text No. 2 to Proposition 6.1.2 .png

I am trying to write a detailed proof of the fact or assertion that

\(\displaystyle \text vol_n (B) =\text vol_n (B') + \text vol_n (B'') \) ... ... ... ... (*)

given their definitions as sets ... but have so far been able to formulate a proof ...

I hope someone can help ...

I am especially interested in tying or connecting the proof of (*) to the definitions of B' and B" as sets.To explicitly indicate my concerns I am presenting an example from $ \mathbb{R^2} $Let $ B' = \{ ( x_1, x_2 ) \in \mathbb{R^2} \; \; | \; \; a_1 \leq x_1 \leq t_1 \text{ and } a_2 \leq x_2 \leq b_2 \; \; ; \; \; \text{ and } a_2 \leq x_2 \leq t_2 \text{ and } a_1 \leq x_1 \leq b_1 \} $Thus B' is made up of two rectangles, viz.

$ B'_1 = \{ ( x_1, x_2 ) \in \mathbb{R^2} \; \; | \; \; a_1 \leq x_1 \leq t_1 \text{ and } a_2 \leq x_2 \leq b_2 \} $

and

$ B'_2 = \{ a_2 \leq x_2 \leq t_2 \text{ and } a_1 \leq x_1 \leq b_1 \} $

These two rectangles are depicted in Figures 1 and 2 below ...
Duistermaat & Kolk_Vol II ... Proposition 6.1.2 ... Figs 1 & 2 ... .png

Now ... let $ B" = \{ ( x_1, x_2 ) \in \mathbb{R^2} \; \; | \; \; t_1 \leq x_1 \leq b_1 \text{ and } a_2 \leq x_2 \leq b_2 \; \; ; \; \; \text{ and } t_2 \leq x_2 \leq b_2 \text{ and } a_1 \leq x_1 \leq b_1 \} $Thus $ B" $ is made up of two rectangles, viz.

$ B"_1 = \{ ( x_1, x_2 ) \in \mathbb{R^2} \; \; | \; \; t_1 \leq x_1 \leq b_1 \text{ and } a_2 \leq x_2 \leq b_2 \} $

and$ B"_2 = \{ ( x_1, x_2 ) \in \mathbb{R^2} \; \; | \; \; t_2 \leq x_2 \leq b_2 \text{ and } a_1 \leq x_1 \leq b_1 \} $The above two rectangles $ B"_1 $ and $ B"_2 $ are depicted in Figures 3 and 4 below ...
Duistermaat & Kolk_Vol II ... Proposition 6.1.2 ... Figs 3 & 4 ... .png
Now ... my problem is this: I do not see how

[tex] \text vol_n (B) =\text vol_n (B') + \text vol_n (B'') [/tex] ... ... ... ... (*)

... that is I do not see how the volumes of $ B' $ and $ B" $ which together comprise the overlapping rectangles $ B'_1 , B'_2 , B"_1 \text{ and } B"_2 $ satisfy (*) ...Can someone explain how (*) can be true given my analysis above ... I must be making some errors ...NOTE: I know that (6.2) in the text in defining the conditions for a partition of a rectangle Duistermaat and Kolk write

$ B_i \cap B_j = \emptyset $ or $\text vol_n ( B_i \cap B_j ) = 0 $ if $ i \neq j $

... but this is prescriptively defining a partition of a rectangle $ B $ ... it does not, in my opinion, mean that we can overlook (put to zero) the overlaps or intersections in the rectangles $ B'_1 , B'_2, B"_1, \text{ and } B"_2 $ ...

Either way I cannot see how \(\displaystyle \text vol_n (B) =\text vol_n (B') + \text vol_n (B'') \) ... ... ... ... (*) arises from the union of the rectangles $ B'_1 , B'_2, B"_1, \text{ and } B"_2 $ ...Hope someone can explain and clarify this aspect of the proof of Proposition 6.1.2 ...

Peter
 
Last edited:
Physics news on Phys.org
  • #2
,Thank you for your question and for providing such detailed background and examples. I can see why you are having trouble with the proof of Proposition 6.1.2, as it involves some tricky concepts and notations.

First, let's clarify the notation used in the proposition. The symbol $\text{vol}_n(A)$ is used to denote the $n$-dimensional volume (or measure) of a set $A$. In this context, $n$ refers to the dimension of the space in which the set is defined. So in your example, $n=2$ since we are working in $\mathbb{R}^2$. The sets $B'$ and $B''$ are defined as subsets of $\mathbb{R}^n$, so the proposition is essentially stating that the volume of $B$ is equal to the sum of the volumes of $B'$ and $B''$.

Now, let's take a closer look at the definition of $B'$ and $B''$. These sets are defined as unions of rectangles, where each rectangle is defined by a set of inequalities. For example, in your first rectangle, $B'_1$, the inequalities $a_1 \leq x_1 \leq t_1$ and $a_2 \leq x_2 \leq b_2$ define the boundaries of the rectangle. The same is true for the other rectangles in $B'$ and $B''$.

So when we take the union of these rectangles to form $B'$ and $B''$, we are essentially combining all the points that satisfy the inequalities defining each rectangle. This means that the points in the intersection of $B'$ and $B''$ will be counted twice when we calculate the volume of $B$, since they satisfy the inequalities defining both $B'$ and $B''$. This is why the proposition states that the volume of $B$ is equal to the sum of the volumes of $B'$ and $B''$ minus the volume of their intersection (which is being counted twice).

To illustrate this, let's look at your example in $\mathbb{R}^2$. In this case, $B'$ and $B''$ are made up of two rectangles each. When we take the union of these rectangles to form $B$, we are essentially combining the boundaries of all four rectangles. This means that the points in the intersection of the
 

1. What is Proposition 6.1.2 in Duistermaat & Kolk Vol II?

Proposition 6.1.2 in Duistermaat & Kolk Vol II is a mathematical theorem that states the existence of a unique solution to a certain type of differential equation, known as the Cauchy problem.

2. What is the significance of Proposition 6.1.2 in the field of mathematics?

Proposition 6.1.2 is significant because it provides a powerful tool for solving differential equations, which are essential in many areas of mathematics and science. It also has applications in physics, engineering, and other fields.

3. Can you explain the proof of Proposition 6.1.2 in simple terms?

The proof of Proposition 6.1.2 involves showing the existence and uniqueness of a solution to the Cauchy problem by using the Picard-Lindelöf theorem and the method of successive approximations.

4. Are there any prerequisites for understanding Proposition 6.1.2?

Yes, a basic understanding of differential equations, real analysis, and topology is necessary to fully comprehend Proposition 6.1.2.

5. Can Proposition 6.1.2 be extended to higher dimensions?

Yes, Proposition 6.1.2 can be extended to higher dimensions by using the same techniques and principles, but the proofs become more complex and require a deeper understanding of advanced mathematics.

Similar threads

Replies
22
Views
2K
Replies
4
Views
1K
Replies
2
Views
142
Replies
2
Views
2K
  • Topology and Analysis
Replies
2
Views
2K
Replies
2
Views
1K
  • Topology and Analysis
Replies
2
Views
1K
Replies
2
Views
1K
Replies
2
Views
1K
Replies
7
Views
2K
Back
Top