The Continutiy and the Convergence.

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In summary, continuity and convergence are two related but distinct concepts. Continuity can be defined in terms of convergence, but convergence is a more general concept that can be applied to sequences of numbers or functions. Additionally, there are different types of convergence, such as uniform convergence and Lp convergence, which have their own definitions and properties.
  • #1
Tenshou
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Once upon a time there was a boy, neigh a man! He had trouble understand the connection between continuity and the different test for convergence. Sadly, he seen that they were connected and started to study, yet to no avail. Can someone please lend a helping hand on this quest for adventure, and excitement! (︶ω︶)
 
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  • #2
Try being more specific.
 
  • #3
Well okay, Do you know how the uniform(not really just uniform, but most) convergence is (or can be) defined as ##\lim_{k\to\infty} f_{k}\left(x\right) = f(x)## *or* ##f_{k}(x)\to f(x)## uniformly as ##k\to\infty##would mean that ##\limsup_k\{|f_{k}(x)-f(x)| : \forall{x} \epsilon A\}## which comes from a norm(or metric) and then there is the concept of continuity from calculus which states that ##\lim_{x\to\infty} g(x) = L## along with the other things that go with it (like the other concepts that would describe closeness, like the metric/norm it self and the epsilon/delta neighborhoods) why are these things so similar, are they the same?
 
  • #4
There are many different types of limits. Uniform convergence is one, pointwise (not necessarily uniform) is another. There is also the concept of Lp convergence, p ≥ 1. epsilon/delta is a means of expressing convergence, not something different.
 
  • #5
by ##L_p## you mean the those norm spaces, right? I mean, is the continuity convergence it self, or are they two completely different ideas. Like why do they look so similar?
 
  • #6
Lp refers to normed spaces. I don't know what you mean by "continuity convergence".
 
  • #7
No, I mean Is continuity, convergence? like the definition for the two look awfully the same, I still don't know the answer, but my assumption thus far has been that they(continuity and convergence) are the same as far as limits and families of functions go.
 
  • #8
Continuity can be defined in terms of convergence: a function ##f## is continuous at a point ##x## if any sequence ##x_n## which converges to ##x## results in ##f(x_n)## converging to ##f(x)##.

However, convergence is a more general concept. For example, we can talk about a series ##\sum_{n=1}^{N} a_n## converging to a value ##A## as ##N \rightarrow \infty##, and this has nothing to do with continuity.

Or, we can define a function such as
$$f(x) = \begin{cases}
x^2 & \textrm{ if }x \neq 0 \\
1 & \textrm{ if }x = 0\\
\end{cases}$$
and we see that the limit as ##x \rightarrow 0## of ##f(x)## is ##0##, even though the function is not continuous at ##x = 0##.
 
  • #9
jbunniii said:
Or, we can define a function such as
$$f(x) = \begin{cases}
x^2 & \textrm{ if }x \neq 0 \\
1 & \textrm{ if }x = 0\\
\end{cases}$$
and we see that the limit as ##x \rightarrow 0## of ##f(x)## is ##0##, even though the function is not continuous at ##x = 0##.

what do you mean it is not continuous at the point when x is zero, doesn't that mean it convergences point-wise, anyway? Or are you just stating a case when a function is discontinuous and yet still convergent?
 
  • #10
Tenshou said:
what do you mean it is not continuous at the point when x is zero, doesn't that mean it convergences point-wise, anyway? Or are you just stating a case when a function is discontinuous and yet still convergent?

There is no "pointswise convergence" here. Jbunniii has just defined a function and stated that it is discontinuous. Furthermore, he said that this implied that the function is not sequentially continuous. That means, there is a sequence of real numbers that converges to a point, but whose images do not.

Pointswise convergence has nothing to do with this. Pointswise convergence deals with a sequence of functions and not a sequence with real numbers.
 
  • #11
micromass said:
Pointswise convergence has nothing to do with this. Pointswise convergence deals with a sequence of functions and not a sequence with real numbers.

So, you saying that for sequences of real numbers(or numbers in general(?)) there cannot exist a convergent series, but this notion of convergent sequences only deals with functions?
 
  • #12
Tenshou said:
So, you saying that for sequences of real numbers(or numbers in general(?)) there cannot exist a convergent series, but this notion of convergent sequences only deals with functions?
No, convergent sequences need not have anything to do with functions. For example, the sequence ##a_n = 1/n## is a sequence which converges to 0, but there is no function involved.
 
  • #13
What about functions which have real numbers as convergent points. Do sequences of functions converge to real numbers? Vice versa?
 
  • #14
Tenshou said:
What about functions which have real numbers as convergent points. Do sequences of functions converge to real numbers? Vice versa?
No, sequences of functions can converge to other functions, or they may converge at some points but not at others, or they may fail to converge at all. But I am not aware of any notion of convergence in which a sequence of functions may be said to converge to a number.

What we can do, however, is to define a metric on a set of functions, which is a way of measuring the distance between two functions. For example, on the space of integrable functions defined on ##\mathbb{R}##, we may define
$$d(f,g) = \int_{-\infty}^{\infty} |f(x) - g(x)| dx$$
Then we may say that a sequence of functions ##f_n## converges to a function ##f## with respect to this metric. We define this to mean
$$\lim_{n \rightarrow \infty} d(f_n, f) = 0$$
Note that ##d(f_n,f)## is a sequence of numbers. The sequence of functions converges with respect to the metric if and only if the sequence of numbers ##d(f_n,f)## converges to zero. This is not the same as pointwise convergence! It is possible for a sequence ##f_n## to converge to ##f## with respect to the metric if it does not converge pointwise, and vice versa.
 

Related to The Continutiy and the Convergence.

1. What is the difference between continuity and convergence?

Continuity refers to the uninterrupted flow or progression of something, while convergence refers to the coming together or merging of two or more elements. In science, continuity is often used to describe a process that remains consistent over time, while convergence is used to describe the merging of different scientific theories or ideas.

2. How do continuity and convergence affect scientific research?

Continuity and convergence both play important roles in scientific research. Continuity allows scientists to build upon previous knowledge and data, while convergence encourages the integration of different ideas and theories to create a more comprehensive understanding of a particular topic.

3. Can you give an example of continuity and convergence in the scientific world?

One example of continuity in science is the study of genetics. Scientists have been building upon the work of previous researchers to better understand the role of genes in human health and disease. An example of convergence is the integration of quantum mechanics and classical mechanics in the field of physics, which has resulted in a more complete understanding of the behavior of matter.

4. How do scientists ensure continuity and convergence in their work?

To ensure continuity, scientists must carefully document their research methodology and results, and make this information available to other researchers. This allows for the replication of experiments and the building of knowledge over time. To encourage convergence, scientists collaborate and share their findings with others in the scientific community, allowing for the integration of different perspectives.

5. What are the potential benefits of continuity and convergence in the scientific world?

The benefits of continuity and convergence in science include a deeper understanding of complex phenomena, the ability to solve complex problems, and innovation in scientific fields. Continuity allows for the accumulation of knowledge over time, while convergence encourages the integration of different perspectives and approaches, leading to new and exciting discoveries.

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