Wierstrauss m test caucy criteria

In summary, the conversation discusses the Weierstrass M-test and Cauchy criterion for series convergence. The M-test is used as a comparison test to determine uniform convergence, while the Cauchy criterion states that a series is convergent if the partial sums are Cauchy. Examples are given to illustrate how to use these tests, and the conversation also mentions the importance of the domain and how the M-test is typically applied to power series. The conversation concludes by expressing a love for analysis and the playful nature of the subject.
  • #1
icantadd
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0

Homework Statement


So, I missed class the day Weierstrass M-test and cauchy criterion. I have a theorem for Weierstrass M-test, but the book gives no examples on how to use it. I figure cauchy criterion has to do with series, and states that a series is convergent if the partial sums is cauchy. If this one is wrong please let me know. I made it up, just now. We should be in the sequence and series of functions chapter, and there are is a lot of things that look cauchy (fn(x) - f(x)) < epsilon, but none called "cauchy criterion for series" like the email I get.


Homework Equations


Suppose {fn} is a sequence of functions defined on E, and {Mn} is a sequenc of nonnegative real numbers such that | fn(x) | <= Mn for all x in E, all positive integers n. If
the Sum Mn converges then the sum of fn converges uniformly.


The Attempt at a Solution


My guess is that how to use Weierstrass M test is sort of like a comparison test to derive uniform convergence. If you can get a series like 1/x^2 to converge and the sequence of functions is always less than 1/x^2, then the sequence of functions is uniformly convergent. Is this sounding right? There is no homework on this, so I don't have any examples to solve.

I'm really confused, they did a chapter in a day, which means I probably am not expected to get the entire depth down, but I get sad if I can't get it all the way.
 
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  • #2
You have the Cauchy criterion correct, but it's often written as the series converges iff for all epsilon > 0, there exists N such that n,m>N implies

[tex]| \sum_{k=m}^{n}a_k | < \epsilon [/tex]

(which is equivalent of course, but just written out in a more conventional form)

The M-test you have the right idea... for example, I take the sequence of functions fn = 1/xn for 1/2<x<3/4

Then

[tex]\sum_{n=1}^{\infty}f_n(x)[/tex] converges uniformly to [tex]\frac{1}{1-x}[/tex]

Proof:

Clearly it converges pointwise (geometric series). It's uniform as for any x, |fn(x)|<= (3/4)n which we'll call Mn

Clearly [tex]\sum_{n=1}^{\infty}M_n[/tex] converges, and hence the series
[tex]\sum_{n=1}^{\infty}f_n(x)[/tex] converges uniformly.

Notice the domain is important here... if we had picked 0<=x<1, this would have failed as we would have gotten the smallest possible value for each Mn would be 1, and [tex]\sum_{n=1}{\infty}M_n[/tex] no longer converges, and you can't conclude the series converges uniformly to 1/(1-x)

You may have noticed that conveniently our point picked was one of the endpoints of the domain we were looking at... this is often the case, since the M-test is usually applied to power series, and each monomial term is going to be monotonically increasing.

Wikipedia has another example

http://en.wikipedia.org/wiki/Uniform_convergence#Exponential_Function

it's done over the complex numbers, but if instead of open disks you substitute open intervals, and instead of C you substitute R, it's exactly the same
 
  • #3
Office_Shredder said:
The M-test you have the right idea... for example, I take the sequence of functions fn = 1/xn for 1/2<x<3/4

Should that be fn = x^n for 1/2 < x < 3/4. Then it should work on any interval [0,a] , where a < 1 correct?

So, the real Idea, is that you find the M. You choose one that fn is going to be less than for all n, and then because you can get Mn less than epsilon, you can clearly get all the fn's less than that epsilon for free. If that's correct, this is another example of why I love analysis; it's really a playful subject.
 
  • #4
Uhh... yeah, you're right. My bad
 

What is the Wierstrauss m test caucy criteria?

The Wierstrauss m test caucy criteria is a mathematical test used to determine the convergence or divergence of a given series. It is named after mathematicians Karl Weierstrass and Augustin-Louis Cauchy.

How does the Wierstrauss m test caucy criteria work?

The test involves calculating a limit that determines whether the series will converge or diverge. If the limit is equal to zero, the series will converge. If the limit is greater than zero or infinite, the series will diverge.

When should the Wierstrauss m test caucy criteria be used?

The Wierstrauss m test caucy criteria should be used when determining the convergence or divergence of a series that does not have a clear pattern or when other tests, such as the ratio or root test, are inconclusive.

What is the difference between the Wierstrauss m test caucy criteria and the Cauchy condensation test?

Both tests are used to determine the convergence or divergence of a series, but the Wierstrauss m test caucy criteria is more commonly used for series with positive terms, while the Cauchy condensation test can be used for both positive and negative terms.

Are there any limitations to the Wierstrauss m test caucy criteria?

Yes, the Wierstrauss m test caucy criteria is only applicable to series with positive terms and does not work for series with alternating signs or series with negative terms. It is also not a definitive test and should be used in conjunction with other convergence tests for a more accurate determination.

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