YouTube2Text

Monotone Convergence Theorem (MCT) with Examples — Transcript

by Dr. Harish Garg · 2,537 words · 436 segments · language en · Watch on YouTube

Full transcript

  1. 0:00Hello students. Welcome to the next
  2. 0:03lecture on the sequence. Today, I will
  3. 0:06explain you the concept of the monotone
  4. 0:10convergence theorem. Myself, Dr. Harish
  5. 0:12Kar, you can follow and subscribe my
  6. 0:15YouTube channel where you can find the
  7. 0:17various lectures related to the sequence
  8. 0:19and its applications such as limit of
  9. 0:22the sequence, behavior of the sequence,
  10. 0:2570 plus examples, squeeze principle,
  11. 0:28monotonic, bounded, Cauchy first
  12. 0:30theorem, second theorem, and many more
  13. 0:32lectures available in this single place.
  14. 0:35Today's, as I said you, the today's
  15. 0:37objective is the monotone convergence
  16. 0:40theorem. In this lecture, we will learn
  17. 0:43a very simple proof of the monotone
  18. 0:47convergence theorem, the idea
  19. 0:50behind this monotone convergence
  20. 0:52theorem, and various examples so that
  21. 0:56you can understand how this monotone
  22. 0:59convergence theorem applicable.
  23. 1:02First of all, if I say AN is my any
  24. 1:05sequence which is a convergent.
  25. 1:09Fine? Then, we all knows every
  26. 1:13convergent sequence must be bounded.
  27. 1:17But, we also know the converse is not
  28. 1:21true.
  29. 1:23Any example that you know?
  30. 1:25Any example where the is a bounded
  31. 1:27sequence, but it's not a convergent?
  32. 1:30Yes, minus one raised to power n.
  33. 1:34Clearly say, AN is my bounded sequence.
  34. 1:37But, it is not
  35. 1:40convergent. Why it's not a convergent?
  36. 1:43Because the limit of AN as n approaches
  37. 1:48infinity is not unique.
  38. 1:52If it's not unique, then we can say
  39. 1:53that we can say it is not convergent.
  40. 1:57Now, so what does it means? That implies
  41. 2:01the boundedness
  42. 2:03doesn't implies
  43. 2:05it to be convergent.
  44. 2:08You get it clear what I have to say? So,
  45. 2:10our target is to make something to be
  46. 2:15added
  47. 2:16bounded we have to get added curry so
  48. 2:19that it will be convergent. So, our
  49. 2:23target is to identify this question
  50. 2:27mark.
  51. 2:28What should be added in the boundedness
  52. 2:32so that the sequence will be convergent?
  53. 2:36Yeah? Now, there are the two things
  54. 2:39that's question mark, it may be
  55. 2:42monotonic sequence or not. So, our
  56. 2:46target is to find the condition on the
  57. 2:49bounded sequence which ensure us the
  58. 2:52sequence is convergent.
  59. 2:55So, we will consider the two different
  60. 2:57cases. The first case is
  61. 2:59the sequence is my monotonic.
  62. 3:03Fine? And the second case is sequence is
  63. 3:06not monotonic.
  64. 3:08Assume that firstly we will case discuss
  65. 3:11the case when the sequence is not
  66. 3:15monotonic.
  67. 3:16Fine? So, it means can you think about
  68. 3:19any example
  69. 3:21whose sequence is my bounded
  70. 3:24plus not monotonic? Can you say it's a
  71. 3:28convergent sequence?
  72. 3:30Answer is no.
  73. 3:32Why? Because if you look about that
  74. 3:35minus one raised to power n it is a
  75. 3:39bounded?
  76. 3:40Yes, it is a bounded. Again, it is not
  77. 3:44monotonic.
  78. 3:45Fine? Then, you can say it is not
  79. 3:50convergent. [clears throat]
  80. 3:52So, what does it means? If I add the
  81. 3:54condition of the non-monotonic, still we
  82. 3:57have the one counterexample
  83. 4:01which disprove our result. So, that
  84. 4:05means the non- The second case, case
  85. 4:07number two, non-monotonic sequence
  86. 4:10may be accepted.
  87. 4:12Fine? If the sequence is a
  88. 4:14non-monotonic, then the boundedness
  89. 4:16doesn't implies for the convergent.
  90. 4:20On the other hand, can you say
  91. 4:23can you say if I consider the monotonic
  92. 4:26sequence?
  93. 4:28Can you say if I take the monotonic
  94. 4:30sequence as well as the bounded sequence
  95. 4:33that implies the convergent? The answer
  96. 4:36is yes. And that is the condition we
  97. 4:40have imposed on the boundedness is any
  98. 4:43sequence
  99. 4:44which is a bounded
  100. 4:46plus monotonic, then you can say it's a
  101. 4:51convergent.
  102. 4:52So, for more detail about the monotonic
  103. 4:54sequence, you can watch my previous
  104. 4:56lectures, monotonic sequence and the
  105. 4:58bounded sequence. If I quickly recall
  106. 5:01you, any sequence is said to be
  107. 5:03monotonic increasing whenever an plus
  108. 5:06one is greater than equal to an for all
  109. 5:09n. And whenever it's a less than, it is
  110. 5:12said to be monotonic decreasing.
  111. 5:15Any sequence an is said to be monotonic
  112. 5:18if it is either the monotonic increasing
  113. 5:21or decreasing.
  114. 5:23So, we can say the monotonic convergence
  115. 5:27theorem will states about every bounded
  116. 5:31sequence
  117. 5:33plus monotonic sequence
  118. 5:37that implies
  119. 5:39convergent.
  120. 5:40Any bigger sequence bounded be whole or
  121. 5:43monotonic be whole. Like you can say one
  122. 5:46by n.
  123. 5:48That sequence is my monotonic? Yes.
  124. 5:52It is a monotonic decreasing sequence.
  125. 5:55Fine. This sequence is also my bounded.
  126. 5:58Fine. That implies the sequence 1/n is
  127. 6:03my convergent.
  128. 6:05Okay,
  129. 6:06any sequence that is bounded and
  130. 6:09monotonic,
  131. 6:10that sequence is called as the
  132. 6:12convergent sequence. Now, since we are
  133. 6:15talking about the monotonic, we have the
  134. 6:17two different forms. One is a monotonic
  135. 6:20increasing and monotonic decreasing.
  136. 6:22Therefore, the monotonic convergence
  137. 6:25theorems has two different forms.
  138. 6:28The first one is, if the sequence is a
  139. 6:31monotonically increasing and bounded,
  140. 6:34then it converges to the supremum of the
  141. 6:38A N.
  142. 6:39However, if the sequence is a
  143. 6:41monotonically decreasing, then it
  144. 6:43converges to the infimum of A N.
  145. 6:47In other words, the monotonic
  146. 6:49convergence theorem says any sequence A
  147. 6:52N
  148. 6:54is increasing
  149. 6:55and bounded above, then we can say it's
  150. 6:58a convergent. On the other hand, if the
  151. 7:01sequence is my decreasing and bounded
  152. 7:04below, then we call it as the
  153. 7:06convergent.
  154. 7:07For more details about the boundedness,
  155. 7:10bounded below, and bounded above, you
  156. 7:12can watch my this lecture bounded
  157. 7:14sequence.
  158. 7:23Now,
  159. 7:24a very simple state and proof of the
  160. 7:26monotone convergence theorem. So, I can
  161. 7:29prove for the increasing sequence. You
  162. 7:32can similarly prove for the decreasing
  163. 7:34sequence. If A N is a monotonic
  164. 7:37increasing sequence and bounded from
  165. 7:40above, then A N is my convergent to the
  166. 7:44L, where L is the supremum of A.
  167. 7:49The proof is a very, very simple. Let's
  168. 7:51start with the proof.
  169. 7:54Suppose AN is a monotonic increasing and
  170. 7:56bounded from above. So, what does the
  171. 7:59meaning of the increasing? That implies
  172. 8:02AN + 1 is greater than equal to AN for
  173. 8:06all N.
  174. 8:08Clear? Now, I can suppose L
  175. 8:12is the supremum of AN.
  176. 8:16Fine? So, what is your target? Your
  177. 8:19target is to prove AN converges to the
  178. 8:24L.
  179. 8:26Now, look at that.
  180. 8:28What is the definition of the supremum?
  181. 8:30It's a matter of
  182. 8:31Yeah, we sequence A1, A2, A3, A4, A5,
  183. 8:35and so on. So, you can get a lot of
  184. 8:37bounded above here.
  185. 8:39It's a bounded from above. So, that will
  186. 8:41be my
  187. 8:43supremum. That is the L. It's a matter
  188. 8:45of
  189. 8:45Sorry, values you have all is L say to
  190. 8:47me only. That means, if I assume any
  191. 8:51epsilon which is greater than zero,
  192. 8:53by the definition of the supremum of AN,
  193. 8:58what does it means? L minus epsilon must
  194. 9:01be less than of the
  195. 9:07and
  196. 9:08by the definition of the supremum, L
  197. 9:11minus epsilon is
  198. 9:13not the upper bound.
  199. 9:16Why? Because I have got L upper bound
  200. 9:18after So, L minus epsilon is not the
  201. 9:22upper bound.
  202. 9:23So, once the L minus epsilon is not the
  203. 9:26upper bound, what does it means? There
  204. 9:28exists some natural number N
  205. 9:31such that A of N must be greater than of
  206. 9:36L minus epsilon. But love is to be made
  207. 9:38in a way that I can put ek aur sequences
  208. 9:40milengi aapko.
  209. 9:42Fine? And that will be L A N of L minus
  210. 9:46epsilon.
  211. 9:47Now, since our target is to prove A N
  212. 9:52minus L is less than epsilon for all N
  213. 9:57to yahan pe maine capital N liya hai.
  214. 9:59Fine?
  215. 10:00Now, since I can start from here.
  216. 10:03And sequence aapke paas kya hai is a
  217. 10:06increasing sequence to agar sequence
  218. 10:08increasing hai that means A N must be
  219. 10:12greater than of the A of capital N.
  220. 10:15Yahi hoga. Fine? I can write also
  221. 10:19A of capital N is less than equal to
  222. 10:23A N. Fine? Now, because A N is greater
  223. 10:28than of
  224. 10:30L minus epsilon.
  225. 10:32Fine? And A N because L is my supremum,
  226. 10:36so I can say that number is less than of
  227. 10:39the L and L is always be less than of
  228. 10:42the L plus epsilon because epsilon is my
  229. 10:45positive number. So, what does it means?
  230. 10:49L minus epsilon is less than of the A N
  231. 10:52is less than of the L plus epsilon. What
  232. 10:55does it means?
  233. 10:57A N minus L is less than epsilon
  234. 11:01whenever N is greater than equal to
  235. 11:04capital N. What does it means? A N
  236. 11:07converges to the L is the required proof
  237. 11:11of the result.
  238. 11:13Fine? Therefore, the sequence A N is my
  239. 11:18convergent sequence. To aap dekho yahan
  240. 11:21pe ek this is the concept [laughter] of
  241. 11:23the supremum. And this is the concept of
  242. 11:26the increasing sequence.
  243. 11:30Similarly, you can prove for the
  244. 11:32monotonically decreasing sequence. So,
  245. 11:34what is that? Instead of the infimum
  246. 11:36supremum, you can take it as the
  247. 11:38infimum.
  248. 11:39Instead of the greater than sign, you
  249. 11:40can take it as a less than sign. Instead
  250. 11:43of the L minus epsilon, you can take it
  251. 11:45as a L plus epsilon. You have a less
  252. 11:47than sign I think.
  253. 11:48You can change the inequality and get
  254. 11:50the proof in a simple manner.
  255. 11:53But, a very, very important warning to
  256. 11:56all of you is
  257. 11:57by using the monotone convergence
  258. 11:59theorem, we
  259. 12:01can't conclude the sequence converges to
  260. 12:04the bound.
  261. 12:06For example,
  262. 12:08I don't make sequence little one by N.
  263. 12:11Fine. We know
  264. 12:13what are their bounds?
  265. 12:15We know the sequence is AN.
  266. 12:19Fine. Is it strictly greater than
  267. 12:20equality than you have you have you have
  268. 12:21to pass. Also,
  269. 12:24also we know minus of one, minus of
  270. 12:28four, minus four by three, fine, minus
  271. 12:3117, etc. are also the lower bound
  272. 12:35because the sequence is decreasing.
  273. 12:39You are decreasing sequence and you have
  274. 12:41to pass. So, are also the lower bounds.
  275. 12:44Fine. That is you can say it is bounded
  276. 12:48below.
  277. 12:50So, it's kind of a matter of care.
  278. 12:52If I say the sequence AN is bounded
  279. 12:54below by minus one, minus 14, minus four
  280. 12:57by three, minus 17, it doesn't implies
  281. 13:01that the sequence AN converges to minus
  282. 13:05four by three or minus 17. You don't
  283. 13:09need to carry on.
  284. 13:11Fine. That's the important warning.
  285. 13:13Warning that you have to pass. Sequence
  286. 13:15will converges to the infimum of the AN.
  287. 13:19So, if you have to stop by infimum they
  288. 13:20go to get out of there. Zero. Although
  289. 13:23equality you have to include in here.
  290. 13:25So, AN
  291. 13:27converges to the zero.
  292. 13:29converges to the zero.
  293. 13:32So, because AN is a monotonically
  294. 13:34decreasing sequence, which is bounded
  295. 13:36below by minus 17 as well, but it does
  296. 13:39not converges to the minus 17. Make sure
  297. 13:43the sequence converges to the infimum
  298. 13:47for monotonically decreasing sequence,
  299. 13:50while converges to the supremum of the
  300. 13:53AN for the monotonically increasing
  301. 13:56sequence.
  302. 13:57For example,
  303. 13:59consider the sequence. First of all, you
  304. 14:01can check whether it's a increasing or
  305. 14:03decreasing.
  306. 14:04Clearly say, if I found the AN + 1 - AN,
  307. 14:08that will be 1 over
  308. 14:102n + 1
  309. 14:12into n + 1 whole square. You can watch
  310. 14:15this lecture, monotonic sequence 15 plus
  311. 14:18examples, and clearly say this is
  312. 14:20greater than zero. Therefore, the
  313. 14:23sequence is my monotonically increasing
  314. 14:26sequence.
  315. 14:28Fine? Now, you can also check whether
  316. 14:31it's a bounded or not. We know the value
  317. 14:34of the AN.
  318. 14:36This is less because it's a 2 raised to
  319. 14:39power K. So, I also say K is equal to
  320. 14:42three, 1 over
  321. 14:452 raised to power K.
  322. 14:46Fine? Because 1 K squared is always a
  323. 14:48positive number. Because it is up to the
  324. 14:51end, I can also say the sum will be less
  325. 14:54than equal to
  326. 14:571 by 2 raised to power K. Infinity to
  327. 14:59the earlier minute.
  328. 15:00Fine? Just infinity earlier now it's a
  329. 15:03GP. The GP give up
  330. 15:05first of A over 1 minus R. A will be 1
  331. 15:08over 2 raised to power 3, 1 minus 1 over
  332. 15:112. So, that will be 1 over
  333. 15:144. It's a common
  334. 15:16sequence after pass KO key.
  335. 15:18Bounded be okay.
  336. 15:20Fine? Sequence is a monotonically
  337. 15:22increasing. Sequence the monotonic
  338. 15:25convergence theorem, the sequence an
  339. 15:29convergent.
  340. 15:32But, here you all must be noted about
  341. 15:36one most important thing.
  342. 15:39I mean that I got your sequence is a
  343. 15:40convergent, but I'm you need to get
  344. 15:43something. The sequence is convergent to
  345. 15:46the 1 by 4.
  346. 15:481 by 4 is Is it 1 by 4? Because it's a
  347. 15:52increasing. Is 1 by 4 is a supremum of
  348. 15:55an?
  349. 15:56Have you proved that?
  350. 15:58No. So, we can never say that an
  351. 16:02converges to the 1 by 4.
  352. 16:04Until you prove that 1 by 4 is a
  353. 16:07supremum of the an. So, we can only say
  354. 16:11that that by the MCD monotone
  355. 16:14convergence theorem, the sequence is
  356. 16:16convergent.
  357. 16:18Look at the other one.
  358. 16:20First of all, check whether it's a
  359. 16:21increasing or decreasing. I can start
  360. 16:23from the an minus one
  361. 16:25minus of an.
  362. 16:27That will be n plus one over n plus two
  363. 16:31minus n over n plus one. You can take
  364. 16:34the LCM.
  365. 16:36n plus two
  366. 16:38n plus one. If you solve them, it's a n
  367. 16:41squared plus one plus
  368. 16:432n minus n squared minus of 2n. n
  369. 16:48squared will be cancelled out. 2n and 2n
  370. 16:51will be cancelled out. So, the result
  371. 16:52will be 1 over
  372. 16:55n plus one n plus two. Because n is my
  373. 16:58natural number that is greater than zero
  374. 17:01for all n. Therefore, your sequence is
  375. 17:06monotonically
  376. 17:08Yeah, okay. Yeah. Because an plus one
  377. 17:10minus an is a greater than zero. So,
  378. 17:12it's a monotonically increasing
  379. 17:14sequence.
  380. 17:16Fine. Now, you can check for the
  381. 17:18boundedness.
  382. 17:20Because a n is my n over n plus one. As
  383. 17:26n belongs to the natural number, that is
  384. 17:28always greater than zero. Strictly
  385. 17:31greater than zero because n can never be
  386. 17:33zero.
  387. 17:36Also,
  388. 17:38also
  389. 17:43So, that will be
  390. 17:45Fine? And we know n plus one is always
  391. 17:49be greater than equal to zero.
  392. 17:51Fine?
  393. 17:53That implies one over n plus one is also
  394. 17:55greater than zero. So, that means that
  395. 17:57number is strictly less than one.
  396. 18:01Yeah, one always equality one to come in
  397. 18:04the end. So, that means the sequence is
  398. 18:07lies between
  399. 18:09a one up to infinity, but infinity is
  400. 18:11not a natural number. So, that means the
  401. 18:14number is lies
  402. 18:16open one
  403. 18:17open zero.
  404. 18:20So, therefore the sequence is bounded as
  405. 18:22well. Sequence is a monotonic
  406. 18:24increasing. So, by using the monotone
  407. 18:26convergence theorem, the sequence a n is
  408. 18:30converges to the L, where
  409. 18:34where
  410. 18:37L is my supremum of the a n. And since
  411. 18:41we already found the bound of the a a n,
  412. 18:45can you find the supremum of this bound?
  413. 18:48Supremum of this is one. Upper that's a
  414. 18:50one.
  415. 18:51So, therefore the sequence a n is
  416. 18:54converges to the one is the right
  417. 18:57answer.
  418. 18:58What you check we got
  419. 19:00n over n plus one is equal to
  420. 19:03as n approaches infinity. That will be
  421. 19:06one. So, therefore the sequence is
  422. 19:10convergent.
  423. 19:11But make sure monotone convergence
  424. 19:13theorem is for the purpose
  425. 19:16is that if a sequence is monotonic
  426. 19:19and
  427. 19:20bounded
  428. 19:21then it can say you that it is a
  429. 19:23convergent.
  430. 19:29I hope you have understood this lecture
  431. 19:31in a very very simple manner. We will
  432. 19:33see the important lecture called as a
  433. 19:35subsequence in our next part. Till then
  434. 19:37you can share this video with your
  435. 19:39friends, like and comment on the videos.
  436. 19:41Best of luck students. Happy learning.

About this transcript

This page contains the full transcript of Monotone Convergence Theorem (MCT) with Examples by Dr. Harish Garg, generated from the public captions YouTube serves with the video. The transcript has 2,537 words across 436 segments, with the original timestamps preserved so you can click any line to jump to that moment in the embedded player.

What you can do with it

Use the transcript to take notes, quote the speaker, build a study guide, generate a summary with ChatGPT or Claude via the YouTube Summary tool, or export it as a timed subtitle file with YouTube to SRT. You can also re-open it in the transcriber to choose a caption track available on the video.

Free YouTube transcript tool

YouTube2Text is a free YouTube transcript generator — no signup, no daily limit. Paste any YouTube link and get the full transcript instantly, with timestamps, click-to-jump, caption language selection, AI prompts for ChatGPT, Claude, and Gemini, and exports to TXT, SRT, VTT, or Markdown.