Square summable sequences

In summary, a square summable sequence is a sequence of numbers where the sum of the squares of the elements is finite. To determine if a sequence is square summable, one must calculate the sum of the squares of the elements. Square summable sequences are important in mathematics for applications such as Fourier series and Hilbert spaces. A sequence can be square summable without being convergent. In signal processing, square summable sequences are used to represent signals and for efficient processing and storage in computers.
  • #1
smiley2
1
0
Hellou!

I have a question regarding the square summable sequences:
I should find an example of a closed set from the square summable sequences and show that the closed set does not have an element with a min norm!
The professor mentioned an example:
(1+1/1 0 0 0...)
(0 1+1/2 0 0...)
...
(0...0 1+1/n 0...)

this set does not have an element with min norm, but why is it a closed set in l2 ?!
 
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  • #2
they are all isolated points.
 
  • #3


Hello! In order to understand why this set is closed in l2, we need to first define what a closed set is in this context. A closed set in l2 is a set of square summable sequences where every limit point of the set is also a member of the set. In simpler terms, this means that if we take any sequence that is a limit of the set, it must also be a part of the set.

In the example given by your professor, the set consists of sequences with elements that are either 1 or 1+1/n. This set is closed because every limit point of this set, which is a sequence with elements that are either 1 or 1+1/n, is also a member of the set. For example, if we take the limit of the sequence (1, 1+1/2, 1+1/3, ...), it will converge to the sequence (1, 1, 1, ...), which is also a member of the set.

Now, why does this set not have an element with minimum norm? This is because the minimum norm of any element in this set is 1, but there is no element in the set that has all its elements equal to 1. Therefore, there is no element with minimum norm in this set.

I hope this helps clarify the concept of closed sets and why this particular set does not have an element with minimum norm. Let me know if you have any further questions.
 

Related to Square summable sequences

1. What is a square summable sequence?

A square summable sequence is a sequence of numbers where the sum of the squares of the elements is finite, meaning it does not approach infinity. This type of sequence is commonly used in mathematical analysis and signal processing.

2. How does one determine if a sequence is square summable?

In order to determine if a sequence is square summable, one must calculate the sum of the squares of the elements in the sequence and see if it is a finite value. If the sum is finite, then the sequence is considered to be square summable.

3. What is the importance of square summable sequences in mathematics?

Square summable sequences are important in mathematics because they are used in various applications such as Fourier series, where they help to represent periodic functions as a sum of sine and cosine waves. They also play a crucial role in Hilbert spaces, which are fundamental in functional analysis.

4. Can a sequence be square summable but not convergent?

Yes, a sequence can be square summable without being convergent. Convergence refers to the limit of the sequence approaching a specific value, while square summability only requires the finite sum of the squares of the elements. Therefore, a sequence can be square summable but not convergent.

5. How are square summable sequences used in signal processing?

In signal processing, square summable sequences are used to represent signals as a sum of discrete components. This allows for the analysis and manipulation of signals using mathematical techniques such as Fourier transforms. Square summable sequences are also used in digital signal processing to efficiently process and store signals in computers.

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