Chapter 5: Problem 5
Let \(a
Short Answer
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The union \(\dot{\mathcal{P}}^{\prime} \cup \(\dot{\mathcal{P}}^{\prime \prime}\) is a delta fine partition of the interval [a, b] and 'c' is a partition point. This is because each subinterval in the union partition has a point that meets the delta condition as both original partitions were delta fine.
Step by step solution
01
Understand Delta-fine Partition
A partition \( \mathcal{P} = \{ x_0, x_1, ..., x_n \} \) of an interval \([a, b]\) is called Delta-fine if for each subinterval \([x_{i-1}, x_i]\), there exists a point \( t_i \) in the subinterval such that the length of the interval from \( t_i \) to the nearest end point of the interval is less than Delta( \( t_i \) ). In other words, \( \{t_i\}_{i=1}^{n} \) is a gauging of \( \mathcal{P} \) and for each i, we have \( |t_i - x_{j(i)}| < \delta(t_i) \) where \( j(i)=i \) or \( i-1 \)
02
The Delta-fine partitions of [a, c] and [c, b]
Given \(\dot{\mathcal{P}}^{\prime}\) is a Delta-fine partition of [a, c], and \(\dot{\mathcal{P}}^{\prime \prime}\) is a Delta-fine partition of [c, b], this means there exist points in each partition, \( t_i^{ \prime} \) and \( t_i^{ \prime \prime} \), such that for each i in the partitions, \( |t_i^{\prime} - x_{j(i)}^{\prime}| < \delta(t_i^{\prime}) \) in \(\dot{\mathcal{P}}^{\prime}\) and \( |t_i^{\prime \prime} - x_{j(i)}^{\prime \prime}| < \delta(t_i^{\prime \prime}) \) in \(\dot{\mathcal{P}}^{\prime \prime}\)
03
Establishing Delta-fine partition on [a, b]
The union of \(\dot{\mathcal{P}}^{\prime}\) and \(\dot{\mathcal{P}}^{\prime \prime}\) forms a partition of the interval [a, b] with 'c' being one of the partition points. To show that this partition is also Delta-fine, we must verify that for each subinterval in the new partition, there exists a point for which the delta condition applies. As per the delta condition, for each subinterval, there will be a point, say \( t_i \), in the partition such that the distance from \( t_i \) to the nearest end of the subinterval is less than Delta( \( t_i \) ). This is true for all subintervals since both \(\dot{\mathcal{P}}^{\prime}\) and \(\dot{\mathcal{P}}^{\prime \prime}\) satisfy this condition. So, the union of \(\dot{\mathcal{P}}^{\prime}\) and \(\dot{\mathcal{P}}^{\prime \prime}\) is a delta-fine partition of [a, b] with 'c' as a partition point.
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Key Concepts
These are the key concepts you need to understand to accurately answer the question.
Partition Points
Partition points are specific locations within a given interval where the set is divided into smaller sections. Imagine having a long piece of string and cutting it into smaller pieces at certain points. These points are your partition points. In the context of a delta-fine partition, partition points play a crucial role because they determine how the interval
This division is fundamental in understanding how smaller intervals work together in a larger structure. The union of these smaller partitions ensures coverage of the whole interval while maintaining the properties needed for a delta-fine condition.
- is divided into subintervals,
- and how the gauging condition applies to each subinterval.
This division is fundamental in understanding how smaller intervals work together in a larger structure. The union of these smaller partitions ensures coverage of the whole interval while maintaining the properties needed for a delta-fine condition.
Gauging
Gauging is about measuring distances in the context of each subinterval of a partition. It's like setting up a measuring tape within each subinterval to ensure that certain conditions are met.
In a delta-fine partition, gauging involves finding a specific point \( t_i \) within each subinterval \([x_{i-1}, x_i]\) such that the distance from \( t_i \) to either \( x_{i-1} \) or \( x_i \) is less than a given value \( \delta(t_i) \).
In a delta-fine partition, gauging involves finding a specific point \( t_i \) within each subinterval \([x_{i-1}, x_i]\) such that the distance from \( t_i \) to either \( x_{i-1} \) or \( x_i \) is less than a given value \( \delta(t_i) \).
- This condition ensures that the partition is fine enough everywhere according to the gauge function \( \delta \).
- The function \( \delta \) dictates how 'fine' the partition must be at each point.
Subintervals
Subintervals are the smaller sections that a larger interval is divided into. Think of breaking a loaf of bread into slices. Each slice represents a subinterval within the overall loaf. In mathematical terms, if you have an interval \([a, b]\), a partition divides this into subintervals like \([a, c]\) and \([c, b]\).
Each subinterval is subject to the delta-fine condition through gauging. This means that within each piece,
Each subinterval is subject to the delta-fine condition through gauging. This means that within each piece,
- we find a point \( t_i \) which satisfies certain criteria,
- and each subinterval maintains its mathematical integrity.