Monotone Convergence Theorem (MCT) with Examples — Transcript
Full transcript
- 0:00Hello students. Welcome to the next
- 0:03lecture on the sequence. Today, I will
- 0:06explain you the concept of the monotone
- 0:10convergence theorem. Myself, Dr. Harish
- 0:12Kar, you can follow and subscribe my
- 0:15YouTube channel where you can find the
- 0:17various lectures related to the sequence
- 0:19and its applications such as limit of
- 0:22the sequence, behavior of the sequence,
- 0:2570 plus examples, squeeze principle,
- 0:28monotonic, bounded, Cauchy first
- 0:30theorem, second theorem, and many more
- 0:32lectures available in this single place.
- 0:35Today's, as I said you, the today's
- 0:37objective is the monotone convergence
- 0:40theorem. In this lecture, we will learn
- 0:43a very simple proof of the monotone
- 0:47convergence theorem, the idea
- 0:50behind this monotone convergence
- 0:52theorem, and various examples so that
- 0:56you can understand how this monotone
- 0:59convergence theorem applicable.
- 1:02First of all, if I say AN is my any
- 1:05sequence which is a convergent.
- 1:09Fine? Then, we all knows every
- 1:13convergent sequence must be bounded.
- 1:17But, we also know the converse is not
- 1:21true.
- 1:23Any example that you know?
- 1:25Any example where the is a bounded
- 1:27sequence, but it's not a convergent?
- 1:30Yes, minus one raised to power n.
- 1:34Clearly say, AN is my bounded sequence.
- 1:37But, it is not
- 1:40convergent. Why it's not a convergent?
- 1:43Because the limit of AN as n approaches
- 1:48infinity is not unique.
- 1:52If it's not unique, then we can say
- 1:53that we can say it is not convergent.
- 1:57Now, so what does it means? That implies
- 2:01the boundedness
- 2:03doesn't implies
- 2:05it to be convergent.
- 2:08You get it clear what I have to say? So,
- 2:10our target is to make something to be
- 2:15added
- 2:16bounded we have to get added curry so
- 2:19that it will be convergent. So, our
- 2:23target is to identify this question
- 2:27mark.
- 2:28What should be added in the boundedness
- 2:32so that the sequence will be convergent?
- 2:36Yeah? Now, there are the two things
- 2:39that's question mark, it may be
- 2:42monotonic sequence or not. So, our
- 2:46target is to find the condition on the
- 2:49bounded sequence which ensure us the
- 2:52sequence is convergent.
- 2:55So, we will consider the two different
- 2:57cases. The first case is
- 2:59the sequence is my monotonic.
- 3:03Fine? And the second case is sequence is
- 3:06not monotonic.
- 3:08Assume that firstly we will case discuss
- 3:11the case when the sequence is not
- 3:15monotonic.
- 3:16Fine? So, it means can you think about
- 3:19any example
- 3:21whose sequence is my bounded
- 3:24plus not monotonic? Can you say it's a
- 3:28convergent sequence?
- 3:30Answer is no.
- 3:32Why? Because if you look about that
- 3:35minus one raised to power n it is a
- 3:39bounded?
- 3:40Yes, it is a bounded. Again, it is not
- 3:44monotonic.
- 3:45Fine? Then, you can say it is not
- 3:50convergent. [clears throat]
- 3:52So, what does it means? If I add the
- 3:54condition of the non-monotonic, still we
- 3:57have the one counterexample
- 4:01which disprove our result. So, that
- 4:05means the non- The second case, case
- 4:07number two, non-monotonic sequence
- 4:10may be accepted.
- 4:12Fine? If the sequence is a
- 4:14non-monotonic, then the boundedness
- 4:16doesn't implies for the convergent.
- 4:20On the other hand, can you say
- 4:23can you say if I consider the monotonic
- 4:26sequence?
- 4:28Can you say if I take the monotonic
- 4:30sequence as well as the bounded sequence
- 4:33that implies the convergent? The answer
- 4:36is yes. And that is the condition we
- 4:40have imposed on the boundedness is any
- 4:43sequence
- 4:44which is a bounded
- 4:46plus monotonic, then you can say it's a
- 4:51convergent.
- 4:52So, for more detail about the monotonic
- 4:54sequence, you can watch my previous
- 4:56lectures, monotonic sequence and the
- 4:58bounded sequence. If I quickly recall
- 5:01you, any sequence is said to be
- 5:03monotonic increasing whenever an plus
- 5:06one is greater than equal to an for all
- 5:09n. And whenever it's a less than, it is
- 5:12said to be monotonic decreasing.
- 5:15Any sequence an is said to be monotonic
- 5:18if it is either the monotonic increasing
- 5:21or decreasing.
- 5:23So, we can say the monotonic convergence
- 5:27theorem will states about every bounded
- 5:31sequence
- 5:33plus monotonic sequence
- 5:37that implies
- 5:39convergent.
- 5:40Any bigger sequence bounded be whole or
- 5:43monotonic be whole. Like you can say one
- 5:46by n.
- 5:48That sequence is my monotonic? Yes.
- 5:52It is a monotonic decreasing sequence.
- 5:55Fine. This sequence is also my bounded.
- 5:58Fine. That implies the sequence 1/n is
- 6:03my convergent.
- 6:05Okay,
- 6:06any sequence that is bounded and
- 6:09monotonic,
- 6:10that sequence is called as the
- 6:12convergent sequence. Now, since we are
- 6:15talking about the monotonic, we have the
- 6:17two different forms. One is a monotonic
- 6:20increasing and monotonic decreasing.
- 6:22Therefore, the monotonic convergence
- 6:25theorems has two different forms.
- 6:28The first one is, if the sequence is a
- 6:31monotonically increasing and bounded,
- 6:34then it converges to the supremum of the
- 6:38A N.
- 6:39However, if the sequence is a
- 6:41monotonically decreasing, then it
- 6:43converges to the infimum of A N.
- 6:47In other words, the monotonic
- 6:49convergence theorem says any sequence A
- 6:52N
- 6:54is increasing
- 6:55and bounded above, then we can say it's
- 6:58a convergent. On the other hand, if the
- 7:01sequence is my decreasing and bounded
- 7:04below, then we call it as the
- 7:06convergent.
- 7:07For more details about the boundedness,
- 7:10bounded below, and bounded above, you
- 7:12can watch my this lecture bounded
- 7:14sequence.
- 7:23Now,
- 7:24a very simple state and proof of the
- 7:26monotone convergence theorem. So, I can
- 7:29prove for the increasing sequence. You
- 7:32can similarly prove for the decreasing
- 7:34sequence. If A N is a monotonic
- 7:37increasing sequence and bounded from
- 7:40above, then A N is my convergent to the
- 7:44L, where L is the supremum of A.
- 7:49The proof is a very, very simple. Let's
- 7:51start with the proof.
- 7:54Suppose AN is a monotonic increasing and
- 7:56bounded from above. So, what does the
- 7:59meaning of the increasing? That implies
- 8:02AN + 1 is greater than equal to AN for
- 8:06all N.
- 8:08Clear? Now, I can suppose L
- 8:12is the supremum of AN.
- 8:16Fine? So, what is your target? Your
- 8:19target is to prove AN converges to the
- 8:24L.
- 8:26Now, look at that.
- 8:28What is the definition of the supremum?
- 8:30It's a matter of
- 8:31Yeah, we sequence A1, A2, A3, A4, A5,
- 8:35and so on. So, you can get a lot of
- 8:37bounded above here.
- 8:39It's a bounded from above. So, that will
- 8:41be my
- 8:43supremum. That is the L. It's a matter
- 8:45of
- 8:45Sorry, values you have all is L say to
- 8:47me only. That means, if I assume any
- 8:51epsilon which is greater than zero,
- 8:53by the definition of the supremum of AN,
- 8:58what does it means? L minus epsilon must
- 9:01be less than of the
- 9:07and
- 9:08by the definition of the supremum, L
- 9:11minus epsilon is
- 9:13not the upper bound.
- 9:16Why? Because I have got L upper bound
- 9:18after So, L minus epsilon is not the
- 9:22upper bound.
- 9:23So, once the L minus epsilon is not the
- 9:26upper bound, what does it means? There
- 9:28exists some natural number N
- 9:31such that A of N must be greater than of
- 9:36L minus epsilon. But love is to be made
- 9:38in a way that I can put ek aur sequences
- 9:40milengi aapko.
- 9:42Fine? And that will be L A N of L minus
- 9:46epsilon.
- 9:47Now, since our target is to prove A N
- 9:52minus L is less than epsilon for all N
- 9:57to yahan pe maine capital N liya hai.
- 9:59Fine?
- 10:00Now, since I can start from here.
- 10:03And sequence aapke paas kya hai is a
- 10:06increasing sequence to agar sequence
- 10:08increasing hai that means A N must be
- 10:12greater than of the A of capital N.
- 10:15Yahi hoga. Fine? I can write also
- 10:19A of capital N is less than equal to
- 10:23A N. Fine? Now, because A N is greater
- 10:28than of
- 10:30L minus epsilon.
- 10:32Fine? And A N because L is my supremum,
- 10:36so I can say that number is less than of
- 10:39the L and L is always be less than of
- 10:42the L plus epsilon because epsilon is my
- 10:45positive number. So, what does it means?
- 10:49L minus epsilon is less than of the A N
- 10:52is less than of the L plus epsilon. What
- 10:55does it means?
- 10:57A N minus L is less than epsilon
- 11:01whenever N is greater than equal to
- 11:04capital N. What does it means? A N
- 11:07converges to the L is the required proof
- 11:11of the result.
- 11:13Fine? Therefore, the sequence A N is my
- 11:18convergent sequence. To aap dekho yahan
- 11:21pe ek this is the concept [laughter] of
- 11:23the supremum. And this is the concept of
- 11:26the increasing sequence.
- 11:30Similarly, you can prove for the
- 11:32monotonically decreasing sequence. So,
- 11:34what is that? Instead of the infimum
- 11:36supremum, you can take it as the
- 11:38infimum.
- 11:39Instead of the greater than sign, you
- 11:40can take it as a less than sign. Instead
- 11:43of the L minus epsilon, you can take it
- 11:45as a L plus epsilon. You have a less
- 11:47than sign I think.
- 11:48You can change the inequality and get
- 11:50the proof in a simple manner.
- 11:53But, a very, very important warning to
- 11:56all of you is
- 11:57by using the monotone convergence
- 11:59theorem, we
- 12:01can't conclude the sequence converges to
- 12:04the bound.
- 12:06For example,
- 12:08I don't make sequence little one by N.
- 12:11Fine. We know
- 12:13what are their bounds?
- 12:15We know the sequence is AN.
- 12:19Fine. Is it strictly greater than
- 12:20equality than you have you have you have
- 12:21to pass. Also,
- 12:24also we know minus of one, minus of
- 12:28four, minus four by three, fine, minus
- 12:3117, etc. are also the lower bound
- 12:35because the sequence is decreasing.
- 12:39You are decreasing sequence and you have
- 12:41to pass. So, are also the lower bounds.
- 12:44Fine. That is you can say it is bounded
- 12:48below.
- 12:50So, it's kind of a matter of care.
- 12:52If I say the sequence AN is bounded
- 12:54below by minus one, minus 14, minus four
- 12:57by three, minus 17, it doesn't implies
- 13:01that the sequence AN converges to minus
- 13:05four by three or minus 17. You don't
- 13:09need to carry on.
- 13:11Fine. That's the important warning.
- 13:13Warning that you have to pass. Sequence
- 13:15will converges to the infimum of the AN.
- 13:19So, if you have to stop by infimum they
- 13:20go to get out of there. Zero. Although
- 13:23equality you have to include in here.
- 13:25So, AN
- 13:27converges to the zero.
- 13:29converges to the zero.
- 13:32So, because AN is a monotonically
- 13:34decreasing sequence, which is bounded
- 13:36below by minus 17 as well, but it does
- 13:39not converges to the minus 17. Make sure
- 13:43the sequence converges to the infimum
- 13:47for monotonically decreasing sequence,
- 13:50while converges to the supremum of the
- 13:53AN for the monotonically increasing
- 13:56sequence.
- 13:57For example,
- 13:59consider the sequence. First of all, you
- 14:01can check whether it's a increasing or
- 14:03decreasing.
- 14:04Clearly say, if I found the AN + 1 - AN,
- 14:08that will be 1 over
- 14:102n + 1
- 14:12into n + 1 whole square. You can watch
- 14:15this lecture, monotonic sequence 15 plus
- 14:18examples, and clearly say this is
- 14:20greater than zero. Therefore, the
- 14:23sequence is my monotonically increasing
- 14:26sequence.
- 14:28Fine? Now, you can also check whether
- 14:31it's a bounded or not. We know the value
- 14:34of the AN.
- 14:36This is less because it's a 2 raised to
- 14:39power K. So, I also say K is equal to
- 14:42three, 1 over
- 14:452 raised to power K.
- 14:46Fine? Because 1 K squared is always a
- 14:48positive number. Because it is up to the
- 14:51end, I can also say the sum will be less
- 14:54than equal to
- 14:571 by 2 raised to power K. Infinity to
- 14:59the earlier minute.
- 15:00Fine? Just infinity earlier now it's a
- 15:03GP. The GP give up
- 15:05first of A over 1 minus R. A will be 1
- 15:08over 2 raised to power 3, 1 minus 1 over
- 15:112. So, that will be 1 over
- 15:144. It's a common
- 15:16sequence after pass KO key.
- 15:18Bounded be okay.
- 15:20Fine? Sequence is a monotonically
- 15:22increasing. Sequence the monotonic
- 15:25convergence theorem, the sequence an
- 15:29convergent.
- 15:32But, here you all must be noted about
- 15:36one most important thing.
- 15:39I mean that I got your sequence is a
- 15:40convergent, but I'm you need to get
- 15:43something. The sequence is convergent to
- 15:46the 1 by 4.
- 15:481 by 4 is Is it 1 by 4? Because it's a
- 15:52increasing. Is 1 by 4 is a supremum of
- 15:55an?
- 15:56Have you proved that?
- 15:58No. So, we can never say that an
- 16:02converges to the 1 by 4.
- 16:04Until you prove that 1 by 4 is a
- 16:07supremum of the an. So, we can only say
- 16:11that that by the MCD monotone
- 16:14convergence theorem, the sequence is
- 16:16convergent.
- 16:18Look at the other one.
- 16:20First of all, check whether it's a
- 16:21increasing or decreasing. I can start
- 16:23from the an minus one
- 16:25minus of an.
- 16:27That will be n plus one over n plus two
- 16:31minus n over n plus one. You can take
- 16:34the LCM.
- 16:36n plus two
- 16:38n plus one. If you solve them, it's a n
- 16:41squared plus one plus
- 16:432n minus n squared minus of 2n. n
- 16:48squared will be cancelled out. 2n and 2n
- 16:51will be cancelled out. So, the result
- 16:52will be 1 over
- 16:55n plus one n plus two. Because n is my
- 16:58natural number that is greater than zero
- 17:01for all n. Therefore, your sequence is
- 17:06monotonically
- 17:08Yeah, okay. Yeah. Because an plus one
- 17:10minus an is a greater than zero. So,
- 17:12it's a monotonically increasing
- 17:14sequence.
- 17:16Fine. Now, you can check for the
- 17:18boundedness.
- 17:20Because a n is my n over n plus one. As
- 17:26n belongs to the natural number, that is
- 17:28always greater than zero. Strictly
- 17:31greater than zero because n can never be
- 17:33zero.
- 17:36Also,
- 17:38also
- 17:43So, that will be
- 17:45Fine? And we know n plus one is always
- 17:49be greater than equal to zero.
- 17:51Fine?
- 17:53That implies one over n plus one is also
- 17:55greater than zero. So, that means that
- 17:57number is strictly less than one.
- 18:01Yeah, one always equality one to come in
- 18:04the end. So, that means the sequence is
- 18:07lies between
- 18:09a one up to infinity, but infinity is
- 18:11not a natural number. So, that means the
- 18:14number is lies
- 18:16open one
- 18:17open zero.
- 18:20So, therefore the sequence is bounded as
- 18:22well. Sequence is a monotonic
- 18:24increasing. So, by using the monotone
- 18:26convergence theorem, the sequence a n is
- 18:30converges to the L, where
- 18:34where
- 18:37L is my supremum of the a n. And since
- 18:41we already found the bound of the a a n,
- 18:45can you find the supremum of this bound?
- 18:48Supremum of this is one. Upper that's a
- 18:50one.
- 18:51So, therefore the sequence a n is
- 18:54converges to the one is the right
- 18:57answer.
- 18:58What you check we got
- 19:00n over n plus one is equal to
- 19:03as n approaches infinity. That will be
- 19:06one. So, therefore the sequence is
- 19:10convergent.
- 19:11But make sure monotone convergence
- 19:13theorem is for the purpose
- 19:16is that if a sequence is monotonic
- 19:19and
- 19:20bounded
- 19:21then it can say you that it is a
- 19:23convergent.
- 19:29I hope you have understood this lecture
- 19:31in a very very simple manner. We will
- 19:33see the important lecture called as a
- 19:35subsequence in our next part. Till then
- 19:37you can share this video with your
- 19:39friends, like and comment on the videos.
- 19:41Best of luck students. Happy learning.
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