10 - Series and Sigma Summation Notation - Part 1 (Geometric Series & Infinite Series) - By Math and Science
Transcript
00:00 | Hello . Welcome back . The title of this lesson | |
00:02 | is called series and sigma notation . This is part | |
00:06 | one of several lessons now . In the last few | |
00:09 | lessons we have covered in great detail the concept of | |
00:11 | what a sequence is in math . A sequence is | |
00:14 | just the listing of numbers , number comma number , | |
00:18 | common number like this on and on a sequence of | |
00:20 | numbers . Now we have different kinds of sequences . | |
00:22 | We had arithmetic sequences , we had geometric sequences and | |
00:26 | we have already learned all of that . So if | |
00:28 | you haven't done that material I really need you to | |
00:30 | do that . Before we get into this lesson this | |
00:32 | lesson is about something related . It is called series | |
00:36 | , mathematical series and also the sigma notation which is | |
00:39 | how we write down what a series is in math | |
00:42 | . So before a sequence was just a listing of | |
00:45 | numbers in a series . What we're gonna do is | |
00:47 | add the numbers together . So a lot of students | |
00:50 | look at the concept of a series and they get | |
00:52 | really confused in the beginning . I need to calm | |
00:54 | you down and let you realize that all we're doing | |
00:56 | when we have a series in math is we're taking | |
00:58 | those numbers in the sequence and we're just adding them | |
01:01 | together . That's all there is to it . So | |
01:03 | the concept of a sequence of the concept of a | |
01:05 | series very closely related . Now , before we get | |
01:08 | into the math , I want to give you a | |
01:09 | little bit of motivation . This stuff that we're gonna | |
01:11 | learn here is really getting into what I think the | |
01:13 | upper level of math is before you get into calculus | |
01:16 | and that is calculus is like the crown jewel that | |
01:19 | we use for all advanced math , all engineering calculations | |
01:23 | . You can't get away from calculus . When you | |
01:25 | learn calculus one , the second half of calculus one | |
01:29 | the second half of it is when you study something | |
01:32 | called integration , integration and calculus is based on the | |
01:36 | concept of a series . So when you learn this | |
01:39 | material in this lesson right now , learning the concept | |
01:42 | of a series , it is going to directly feed | |
01:44 | into what you learn for about two months in calculus | |
01:48 | one . It is that important . Okay , and | |
01:50 | then finally I'll just give you a little more motivation | |
01:52 | . Uh this concept of a series , it doesn't | |
01:54 | ever go away . In fact , when you get | |
01:55 | into more advanced physics , when you talk about for | |
01:57 | instance , Einstein's general theory of relativity , which is | |
02:01 | his theory of gravity , all of the equations have | |
02:05 | actually , there's there's there's something called the Einstein summation | |
02:08 | convention which is very closely related to series . In | |
02:12 | other words , there's so many things in gravity theory | |
02:15 | that we have to add together , that Einstein invented | |
02:17 | his own way of writing it down , so that's | |
02:19 | how important it is . The stuff you're learning right | |
02:21 | now feeds in the calculus feeds in the very advanced | |
02:24 | modern physics theories that we use even in the modern | |
02:28 | day . So it's something that's going to be around | |
02:29 | . Okay , so let's go back to the beginning | |
02:31 | . Talk about what the sequences talk about , what | |
02:33 | a series is right down the sigma notation so we | |
02:36 | can solve problems . So let's go back down memory | |
02:40 | lane . Let's talk about what we learned before finite | |
02:44 | sequence . Now , The reason I'm putting the word | |
02:48 | finite in the beginning is because we can actually have | |
02:51 | infinite sequences . You know when you when you don't | |
02:53 | actually have an in point when you just keep on | |
02:55 | adding numbers into the sequence , it would be infinite | |
02:58 | . But here let's just talk about and remember what | |
03:01 | a finite sequences . Let's give an example . A | |
03:03 | finite sequence might be something like three comma seven , | |
03:07 | comma 11 , comma 15 comma 19 . Now this | |
03:12 | is finite because it has 12345 terms only five terms | |
03:16 | in there . The terms do not go on forever | |
03:19 | . There's just a finite listing of them . And | |
03:21 | it's a sequence . Because there's just comments here right | |
03:23 | now , what kind of sequences this ? Right . | |
03:26 | Because there's there's lots of different kinds of sequences . | |
03:28 | This one's one that we've studied before . We start | |
03:31 | here . If we add four we get the seven | |
03:34 | . If we add four we get the 11 we | |
03:35 | add four and we add four . We can get | |
03:38 | all of these by just adding a number . So | |
03:40 | if you remember back to sequences when we add numbers | |
03:42 | to get the terms that's called an arithmetic sequence . | |
03:45 | So up here under finite sequence , I'm going to | |
03:48 | remind you that this one is arithmetic and it's an | |
03:53 | arithmetic sequence . S E Q . I'm gonna call | |
03:57 | that arithmetic sequence . Now . The concept of a | |
04:00 | sequence is just when you have the numbers listed , | |
04:02 | when we have a series , we actually are going | |
04:03 | to add those numbers together . So related to this | |
04:07 | finite sequence , which we now know as an arithmetic | |
04:09 | sequence . We have an example of a finite series | |
04:16 | . Now , what do you think this finite series | |
04:17 | is going to be kind of already given the punch | |
04:19 | line away ? That's fine . It's going to be | |
04:21 | three plus seven plus 11 plus 15 plus 19 . | |
04:27 | Now you might look at this and say , well | |
04:29 | that's so easy . All you did was put plus | |
04:31 | signs in between where the comments were . That is | |
04:33 | the only difference between a sequence in a series . | |
04:36 | A sequence is just a listing of numbers in a | |
04:38 | series is just the addition of those numbers . Try | |
04:41 | to burn that in your mind . The reason we | |
04:43 | use series so much in calculus is because most of | |
04:46 | calculus is trying to figure out how to add lots | |
04:48 | of things together . So we have to use the | |
04:50 | concept of series to do that . I don't wanna | |
04:52 | get into calculus now , but that's basically where you're | |
04:54 | skating to , that's where you're going to down the | |
04:56 | road when you learn those advanced things is how to | |
04:58 | add a bunch of things together . So we have | |
05:00 | a series to do that now . Because this series | |
05:05 | is the terms of the series are listed here just | |
05:08 | like the terms of the sequence are here and the | |
05:10 | terms of the series , our arithmetic in nature . | |
05:12 | This thing is called an arithmetic series arithmetic just means | |
05:22 | to get the terms of the series . I just | |
05:24 | AD for AD for AD for AD for because I'm | |
05:26 | adding a constant number to everything . That is how | |
05:29 | I uh that's how I get it . That's how | |
05:32 | I uh label this type of series . Alright , | |
05:36 | So that's kind of like one little category here . | |
05:38 | Now let's go and talk about something a little more | |
05:41 | interesting . Let's talk about an infinite sequence . Right | |
05:50 | ? We haven't really studied infinite sequence too much . | |
05:52 | I mean , we did do a few examples like | |
05:54 | that , but I didn't really make a big deal | |
05:55 | out of it because I knew I was going to | |
05:56 | come to it here . So , let's give an | |
05:59 | example of an infinite sequence . All right . Just | |
06:02 | an example . What about 1/2 comma 1/4 comma 1/8 | |
06:08 | comma 1/16 comma dot dot dot . When you see | |
06:12 | the dot dot dots at the end , it means | |
06:14 | the pattern continues and there's no ending to it . | |
06:16 | These sequences and series ended . But this sequence doesn't | |
06:20 | end and that's why it is called an infinite sequence | |
06:22 | . Now , when you look at the terms of | |
06:24 | this infinite sequence , you should see a pattern . | |
06:26 | Notice that this one to go from this term to | |
06:29 | this term . We're not adding numbers , were not | |
06:31 | just adding a constant number like we were doing here | |
06:33 | . This is a little bit more complicated . What | |
06:34 | we're doing over here is this one I'm multiplying by | |
06:38 | a half . If I take this multiplied by a | |
06:40 | half , I'm gonna get 1/4 if I take this | |
06:42 | and multiply by one half , I get an eighth | |
06:45 | if I take this and multiply by one half , | |
06:47 | I get 1/16 . So because I'm multiplying by common | |
06:50 | number , A common multiplier also called a common ratio | |
06:53 | of terms . We talked about that before . This | |
06:55 | infinite sequence is actually called a geometric sequence . So | |
07:00 | this one is called a geo metric sequence right now | |
07:07 | , what do you think is going to do ? | |
07:08 | If we start adding up these terms , then uh | |
07:11 | we're not going to have an infinite sequence . We | |
07:12 | will have an infinite serious would just take the same | |
07:19 | exact terms , nothing fancy from before . We'll take | |
07:23 | the one half add to it , 1/4 add to | |
07:27 | it , 1/8 add to it . 1/16 plus dot | |
07:31 | dot dot . We never stop adding . So if | |
07:34 | this guy was called an infinite sequence of terms , | |
07:37 | then this thing is called an infinite series . And | |
07:39 | if this one is called the geometric sequence , this | |
07:41 | one is going to be called a geometric A series | |
07:48 | . All right . So any time you see the | |
07:51 | words series here , series is here . Series is | |
07:55 | here . In your mind . You need to think | |
07:57 | well I'm just adding things up . Any time you | |
07:59 | see the word sequence , you need to think , | |
08:00 | oh I'm just writing numbers down sequences are important . | |
08:03 | Series are actually even more important . Okay , now | |
08:07 | I know what you might be thinking . How can | |
08:09 | you have an infinite series like this where I'm adding | |
08:11 | and adding and adding and adding like what am I | |
08:14 | gonna do here ? Like Okay , the next term | |
08:15 | after this , if I multiply about half of the | |
08:17 | 1/32 then I'll be won over 64 then to be | |
08:21 | won over 1 28 and I'll just keep on going | |
08:23 | and I have more and more and more terms . | |
08:25 | How can I ever add them together ? Like I | |
08:28 | could get my calculator and I can I can keep | |
08:30 | pressing the add button and adding the next term in | |
08:32 | the next term , in the next term . And | |
08:33 | then I could go until the sun explodes , you | |
08:36 | know , billions of years from now until the galaxy | |
08:38 | of the senator . I'm still adding numbers . So | |
08:41 | what is the point of adding up all of these | |
08:42 | numbers ? If I never stop adding , how can | |
08:44 | I possibly do that ? Okay . We're kind of | |
08:46 | getting a little bit touching into the , into the | |
08:48 | boundaries of calculus . I don't want to get into | |
08:50 | it right now , but I want to tell you | |
08:52 | , and this part should blow your mind that sometimes | |
08:56 | even if you add up an infinite number of things | |
08:59 | , you can actually still get a finite number as | |
09:02 | an answer . Now , I'm going to say that | |
09:04 | one more time because if it goes , it goes | |
09:06 | in when you're not the other , you're not gonna | |
09:08 | appreciate it . It's really important . What I'm saying | |
09:10 | is I'm adding up an infinite number of terms but | |
09:12 | notice that each term is getting smaller and smaller and | |
09:15 | smaller . So sometimes and we will discuss later down | |
09:18 | the road how you know when you can do this | |
09:21 | . But sometimes if the terms are decreasing fast enough | |
09:24 | , even though there's an infinite number of them infinite | |
09:27 | on and on and on and forever , I can | |
09:29 | still add them up , quote unquote and get a | |
09:31 | finite number . An actual number . In other words | |
09:33 | , most people think if you keep adding and adding | |
09:35 | and adding , it just goes to infinity . But | |
09:37 | if the terms are dropping really rapidly , I'll explain | |
09:41 | later how we know when that's happening . If the | |
09:43 | terms are dropping fast enough , you can actually get | |
09:45 | an answer a finite number even if you're adding up | |
09:48 | an infinite series like that . And that is actually | |
09:51 | the cornerstone of calculus . We'll talk about that later | |
09:53 | when we get to that subject . But that is | |
09:55 | what we're gonna be doing here when we talk about | |
09:56 | series as well . So you have finite sequences , | |
09:59 | finite series , that's easy to understand . You add | |
10:01 | things up , you can have infinite sequences an infinite | |
10:04 | series . And even in the case of an infinite | |
10:05 | series , you can still add them up and getting | |
10:07 | number sometimes . So now we have to switch gears | |
10:11 | and say , well it's a real pain to write | |
10:13 | these numbers down with commas and and with plus signs | |
10:16 | . So we have to have a way of doing | |
10:17 | it shorthand , we call it sigma notation Sigma is | |
10:21 | the greek letter greek , capital letter sigma . You're | |
10:24 | gonna be using it over and over and over again | |
10:26 | . So the easiest way to do it is just | |
10:28 | to do it . I'm gonna call it sigma notation | |
10:34 | , I'll tell you right now then it looks really | |
10:36 | scary at first . But actually when I explain it | |
10:38 | it's actually really fun because it's something that makes your | |
10:42 | life easier and it's kind of fun once you get | |
10:43 | the idea of how to do it , what if | |
10:45 | we have the series that looks like this two plus | |
10:48 | four plus six plus eight plus dot dot dot plus | |
10:53 | 100 . Now , this is not an infinite series | |
10:56 | . All I've done is put the dots here because | |
10:58 | there's a lot of terms between eight and 100 but | |
11:00 | 100 is the last term in this series . Okay | |
11:03 | . It's a series because I have plus signs everyone | |
11:05 | . I'm adding these up and I should ask you | |
11:07 | a bonus question . What kind of series is it | |
11:09 | ? Is it an arithmetic series ? Is it a | |
11:11 | geometric series ? Is it ? Neither ? This one | |
11:14 | is in arithmetic series because to get the terms I'm | |
11:17 | just adding to to get four and then to to | |
11:19 | get six I'm adding to to get eight . Every | |
11:21 | term in the series is just adding another number for | |
11:24 | the related sequence . The arithmetic sequence . So this | |
11:26 | is called an arithmetic series and it's a finite series | |
11:29 | because it doesn't go forever . It just stops . | |
11:33 | So obviously writing all these terms down to 100 would | |
11:36 | take a lot of board space . So we want | |
11:37 | to simplify that . Here's how you do it . | |
11:40 | I'm just gonna write it down and we're gonna talk | |
11:41 | about it . You have to get used to join | |
11:43 | this big little E horizontal line down back horizontal line | |
11:48 | . This is how I want you to write your | |
11:50 | sigma's . I don't want you to scribble some lines | |
11:53 | . I don't want you to make an E . | |
11:54 | I don't want you to do a capital anything weird | |
11:57 | . I want it to be horizontal line , diagonal | |
12:00 | line , diagonal line , horizontal line . That is | |
12:01 | the proper way that you write a signal . And | |
12:03 | here is how we're gonna do this . I'll explain | |
12:05 | in a minute . N is equal to one . | |
12:08 | Going up to N is equal to value of 50 | |
12:11 | . So in goes from 1 to 50 . And | |
12:14 | what we're doing here inside of the Sigma is two | |
12:16 | times in . Now , if you've ever done any | |
12:20 | computer programming , it's gonna actually a lot easier for | |
12:22 | you to understand this . What I want you to | |
12:24 | see when you look at that sigma is I want | |
12:27 | you to see it as a loop . It's like | |
12:28 | a loop . You go through this little mathematical loop | |
12:31 | . How many times do you do it ? You're | |
12:33 | gonna do it 50 times . Because what is on | |
12:35 | the bottom and what is on the top are the | |
12:37 | boundaries of the loop ? You start you have to | |
12:41 | this variable end is just a placeholder for kind of | |
12:44 | a counter that goes through the loop when in starts | |
12:47 | at one , that's the value of n . You | |
12:50 | go through the loop and then eventually in is two | |
12:52 | and then in his three it's 4567 all the way | |
12:54 | to n is equal to 50 and then the loop | |
12:56 | is stopping , so the numbers on the top and | |
12:58 | the numbers on the bottom , just tell you how | |
13:00 | many times you go through the loop . Now , | |
13:02 | what do you do in the loop ? What you | |
13:03 | do is what's in here ? This is what you | |
13:05 | do every time you go through the loop . So | |
13:06 | here's how you figure it out , what you say | |
13:08 | is the first time through the loop and is equal | |
13:10 | to one . What I have here is two times | |
13:12 | in so what I'm gonna have is two times and | |
13:15 | is equal to one . That's the first term . | |
13:17 | The sigma means every little term here is added together | |
13:21 | . So the plus signs are automatically included because this | |
13:23 | is a sigma . Then I go through the next | |
13:26 | time through the loop and is now too two times | |
13:29 | in being too is going to be written like this | |
13:31 | and I go back through the loop and then it's | |
13:33 | gonna be in is equal to 32 times three . | |
13:36 | So I write is two times three . I go | |
13:38 | back through the loop and is equal to 42 times | |
13:41 | four , two times four . So you see what | |
13:43 | happens , I go through and through and through and | |
13:45 | through and through and then eventually I get to the | |
13:46 | final value of n , which is the maximum number | |
13:49 | up here , which is 50 and it's two times | |
13:52 | it is equal to 50 dot dot dot Two times | |
13:56 | 50 . All right . So what's happening is you're | |
14:00 | going through and you're doing this mathematical calculation as in | |
14:04 | goes bigger , bigger , bigger , bigger now . | |
14:06 | What does this do for us ? What it does | |
14:08 | for us is the following thing . Two times one | |
14:11 | is two , then we have four , Then we | |
14:14 | have six , then we have eight Then we have | |
14:20 | 100 . Notice that the series that comes back out | |
14:23 | of this calculation is the same series I started with | |
14:26 | . So what I'm trying to say is that you | |
14:29 | can write the series down with plus times if you | |
14:31 | want to . But what's gonna happen is you might | |
14:33 | have a series with 100 or 200 terms . You | |
14:36 | might have 3000 terms , you might even have infinity | |
14:39 | terms . Because guess what ? Later on ? When | |
14:41 | we have an infinite series , we're gonna use infinite | |
14:44 | infinite terms that need to be added together . So | |
14:47 | we don't want to spend our whole page writing all | |
14:49 | these terms down . So we have a shorthand way | |
14:51 | of putting it . This is a little calculation I'll | |
14:54 | loop that represents the entire series so I don't have | |
14:59 | to write all this stuff down every time . This | |
15:01 | thing right here , this black stuff right here represents | |
15:04 | the series . Because as end goes from 1 to | |
15:06 | 50 . When I do this calculation , I recover | |
15:08 | all of these terms that are existing in the original | |
15:11 | thing . So the title of the lesson was called | |
15:13 | series and sigma notation . The first part of the | |
15:16 | lesson is for me to explain what a series is | |
15:18 | , which I've done . The second part is the | |
15:20 | sigma notation . That's this part . So the rest | |
15:22 | of the lesson , all we're gonna do is I'm | |
15:24 | gonna show you how to use the sigma notation . | |
15:26 | We're gonna do a lot of examples . I'll show | |
15:28 | you how to get the terms . I'll show you | |
15:30 | how to take the terms and write down the sigma | |
15:32 | notation . That's all we're doing . You have to | |
15:34 | get comfortable with that because we're going to be using | |
15:36 | that in future lessons . All right , so that | |
15:40 | was our first little example of sigma notation . Let's | |
15:43 | do another one . Here's another series . Here goes | |
15:46 | , my sigma's are not perfect , but that's more | |
15:48 | or less how I want you to write it . | |
15:49 | Let's say the end goes from one up to instead | |
15:53 | of 50 . We're going to only go to up | |
15:55 | to 10 . And let's say the little calculation we're | |
15:57 | doing every time we go through the loop is not | |
15:59 | this , it's going to be in Squared into the | |
16:02 | power of to . So this loop , how many | |
16:04 | times do you think we go through that loop ? | |
16:06 | We only go through this loop 10 times because end | |
16:09 | goes from one up to 10 . In fact , | |
16:12 | it's probably a good idea for me to label a | |
16:16 | few things for you here . Okay , label a | |
16:18 | few things for you . So this thing is called | |
16:21 | the lower limit of the Sun . This thing right | |
16:28 | here is called the upper limit . Right ? These | |
16:34 | things together are called the limits . These things together | |
16:37 | called the limits of the sum . Okay . This | |
16:39 | thing right here that the actual calculation that we do | |
16:42 | this thing is called the some and some end . | |
16:48 | So when you say some problem says , hey , | |
16:50 | do it right down the sigma where the sum and | |
16:52 | is equal to whatever that word just means . That's | |
16:55 | the calculation you're doing in there . So we have | |
16:56 | the upper limit , we have the lower limit and | |
16:58 | then specifically this variable that we're using in this case | |
17:03 | , it's in this variable right here . This thing | |
17:05 | is called the index , Right ? So if I | |
17:09 | were to write it in words , I might say | |
17:11 | this series can be written with the variable in as | |
17:14 | the index with a lower limit of one and an | |
17:17 | upper limit of 10 where the sum and is equal | |
17:20 | to end squared . Now , would I ever really | |
17:22 | write that down ? No , but that's what those | |
17:24 | words mean in context . Okay . So how do | |
17:27 | we then proceed ? Okay , what we're gonna have | |
17:30 | is in is gonna be one , then we're gonna | |
17:32 | square it . So it's gonna be one squared then | |
17:35 | we're gonna go through again and it's going to be | |
17:36 | too then we're gonna square it then and it's going | |
17:39 | to be three . Then we're gonna square , you | |
17:40 | see the pattern and it's gonna be four , then | |
17:42 | we're gonna square , we're gonna go all the way | |
17:43 | through dot dot dot to the final value of n | |
17:47 | . Which is 10 . Then we're going to square | |
17:49 | it now . Of course I can square these numbers | |
17:53 | and I can then actually add them up just like | |
17:55 | I could add them up here . I don't actually | |
17:56 | care about finding the sun right now . Right now | |
18:00 | , we're just learning how to write down the sigma | |
18:02 | notation . We're gonna write down how to represent the | |
18:05 | sum in a future lessons . We'll talk about how | |
18:07 | to calculate the sum because there's actually shortcut ways to | |
18:09 | actually Add up . If you had to add up | |
18:11 | all these numbers to 100 , it would take a | |
18:13 | long time you have to use a calculator . There | |
18:15 | are quick ways to add up the numbers . Don't | |
18:17 | worry about finding the sum right now . Right now | |
18:19 | we're just writing down how to represent the sum , | |
18:22 | right ? So I don't care about squaring the stuff | |
18:24 | and adding it . I just care about you knowing | |
18:26 | that this equals this . One thing I want to | |
18:30 | make absolutely crystal clear is that this index that we're | |
18:33 | using this end ? This variable end , It's what | |
18:35 | we call a dummy variable or a dummy index . | |
18:38 | The actual letter end doesn't matter because notice what's going | |
18:41 | on is I'm just using in to rotate through and | |
18:43 | do this calculation . It doesn't matter what letter I | |
18:46 | use for this , it's just like a like a | |
18:48 | placeholder . So for instance , I can change this | |
18:51 | to the following if I wanted to , I could | |
18:53 | make sigma , right ? I could say variable K | |
18:57 | can go from one up to 10 and then what | |
19:00 | I'm gonna calculate here is gonna be K squared . | |
19:02 | So whatever my indexes , it must be involved in | |
19:06 | the calculation that's going on inside of the some here | |
19:08 | . Otherwise it doesn't make any sense . So I | |
19:10 | have in here and in here and in here and | |
19:12 | in here I have to have K and K . | |
19:14 | I could use a different number of variables I could | |
19:16 | use . JJ is very common . Also , II | |
19:18 | is very common . You can use any number in | |
19:20 | the letter you want . But usually in or I | |
19:23 | or J or K are usually the ones you'll see | |
19:24 | mostly in the books . But if I'm going to | |
19:26 | use this , K , I'm gonna say K is | |
19:27 | one K squared , one squared , then K is | |
19:30 | 22 squared , then K is 33 squared . Uh | |
19:35 | , and then plus dot dot dot up to the | |
19:36 | maximum value of k , which is 10 squared . | |
19:40 | Right ? So the , the actual variable that you | |
19:42 | use , whether it's I or J or K or | |
19:45 | in none of it matters . All that matters is | |
19:46 | that you use that variable to loop through the calculation | |
19:49 | . All right Now so far for these examples on | |
19:54 | the board , these are what we call finite series | |
19:56 | because it goes from 1 to 50 . That's a | |
19:59 | finite number of terms . It goes from 1 to | |
20:01 | 10 , 1 to 10 . Those are finite number | |
20:03 | of terms . But we already talked about that . | |
20:05 | We can have infinite series , which has an infinite | |
20:07 | number of terms . And so how do we write | |
20:09 | down something like this ? So an infinite series might | |
20:13 | look something like this . Write down my little sigma | |
20:15 | here from K is equal to one . Now , | |
20:19 | what do you think is gonna happen ? The upper | |
20:20 | limit is not going to be a number . The | |
20:22 | upper limit is going to be an infinity . So | |
20:24 | that's where you put the infinity symbol at the top | |
20:27 | because the upper limit never ends , The maximum term | |
20:30 | , it never comes . It's always out there infinity | |
20:33 | . Never actually happens , it's still going and going | |
20:35 | and going . So if I have K is equal | |
20:38 | to one to infinity , that maybe my terms might | |
20:40 | be something like just as an example to to the | |
20:42 | power of K -1 . Right ? That looks really | |
20:46 | complicated , right ? But what you have to do | |
20:48 | is kind of get rid of that in your mind | |
20:50 | because it really isn't , it isn't really complicated . | |
20:52 | All you're doing is starting at K is one and | |
20:55 | you're putting it in here . So what would these | |
20:57 | terms look like when K is one ? It would | |
20:59 | be 1/2 to the power of K is one . | |
21:02 | Let's write , it is one minus one . We're | |
21:04 | going to add to that looping around when K is | |
21:06 | two , then it will be two to the power | |
21:10 | of two minus one , then it will be one | |
21:13 | over to the power of three minus one , then | |
21:16 | 1/2 to the power of four minus one plus . | |
21:20 | And here's where you go dot dot dot because it | |
21:22 | never ever ends . So what you have is K | |
21:25 | is one then Ks to the Ks three than Ks | |
21:27 | four and it never ends . So what does this | |
21:29 | thing really look like on the bottom ? It's gonna | |
21:31 | be one over to to the zero 1/2 to the | |
21:34 | 1 , 1/2 to the 2 , 1/2 to the | |
21:39 | three . All I'm doing is doing the subtraction here | |
21:42 | . And what does this come out to to to | |
21:43 | the zeros 1 , 1/1 is one . This is | |
21:47 | going to be 1/2 This , squared is going to | |
21:51 | be 1/4 . This is gonna be 1/2 cubed but | |
21:54 | that's eight . So it's gonna be 1/8 plus dot | |
21:57 | dot dot I forgot right here plus dot dot dot | |
22:00 | as well . So this uh series here can be | |
22:04 | represented as this sigma notation . It's an infinite series | |
22:09 | which means you can see the pattern 1/2 1/4 1/8 | |
22:12 | , you know , 1/16 and so on going down | |
22:15 | there basically what's going on is I multiplied by one | |
22:18 | half every time . Uh to get the remaining terms | |
22:23 | which is kind of like what I started with here | |
22:25 | . This is an infinite series here where I just | |
22:26 | started with one half of one half , 1/4 181 | |
22:29 | 16 . This is the same series except the first | |
22:31 | term is not one half . The first term is | |
22:33 | one so 11 and one half and 1/4 and 1/8 | |
22:37 | and 1/16 and one 32nd and so on , it's | |
22:39 | going to keep going . So instead of writing all | |
22:41 | these things out , I just write the sigma notation | |
22:44 | . Now . There's two things to skills here . | |
22:47 | First skill is looking at the sigma notation and writing | |
22:51 | down the series . That's what we're focusing on now | |
22:53 | . Later on we're gonna reverse it where I will | |
22:55 | give you the series and you have to come up | |
22:58 | with the sigma notation right now , before we get | |
23:00 | there , I want to make one other thing . | |
23:03 | It's important for you to know is that here I | |
23:06 | have K . Going from one to infinity . And | |
23:08 | here are the terms the some end that yields this | |
23:12 | thing . There's more than one way usually to write | |
23:15 | the summation notation . Um to give you the same | |
23:19 | series for instance , let me go down here and | |
23:21 | drop down below . Just explore this with me a | |
23:25 | little bit . What if instead of this , what | |
23:27 | if we get the summation of K0 up to infinity | |
23:32 | . Notice I'm not going from one to infinity . | |
23:33 | I changed the limits and I go from zero to | |
23:35 | infinity of one over to to the K . Notice | |
23:40 | that this is really similar to this . What's going | |
23:44 | on here is this is in the expo and I | |
23:45 | have a k minus one , but I changed the | |
23:48 | calculation so it doesn't say k minus one . What | |
23:50 | happens is I add one in the expanded up here | |
23:53 | because I've advanced one in the exponents . I compensate | |
23:56 | for that by subtracting one in the index . So | |
23:59 | if I mess around with the sum and with the | |
24:01 | calculation there and change the expanded or change something related | |
24:05 | to the index , the variable . Then if I | |
24:07 | change anything regarding that , I also need to go | |
24:10 | adjust my limits of summation to make sure I get | |
24:13 | the same term . So if we go through this | |
24:14 | calculation , we can see that this will be 1/2 | |
24:18 | to the power of 0 , 1/2 to the power | |
24:20 | of one . When K becomes 1 , 1/2 squared | |
24:24 | one over to third plus dot dot dot . And | |
24:27 | you can see these terms of the same terms as | |
24:29 | these , which are the same terms as these . | |
24:30 | So this series can be represented by this or this | |
24:36 | series could also be represented by this and I could | |
24:40 | if I wanted to change this even further and then | |
24:42 | change the limits even more drastically . But these are | |
24:44 | the same . In other words , it's not really | |
24:48 | more correct to say this one is the right answer | |
24:51 | or this one is the right answer . As long | |
24:52 | as those two sums the summations , the summation convention | |
24:55 | , as long as it's giving you the same terms | |
24:58 | , then they're both equally correct . They represent the | |
25:00 | same things . But still sometimes when we do problems | |
25:02 | , one of them looks a little simpler than others | |
25:04 | , you know , like 5/10 and one half They | |
25:08 | both represent half the pizza , right ? 5/10 and | |
25:11 | one half they represent the same thing . But we | |
25:13 | usually say one half is simpler . So that's what | |
25:15 | we usually like this one here is it looks simpler | |
25:18 | . So usually will probably write something like this down | |
25:21 | , although this gives exactly the same terms . So | |
25:23 | just keep that in mind when you get your answers | |
25:25 | to these problems and you look at my answers or | |
25:27 | you look at answers in your textbook or whatever . | |
25:29 | As long as it could be a little different if | |
25:31 | you adjust the exponent here , if you're just anything | |
25:34 | related to K adding or subtracting and you compensate by | |
25:38 | messing around with the limits of summation , then it | |
25:41 | can still be correct . That's all I'm trying to | |
25:43 | tell you . Alright , so finally let's do a | |
25:45 | couple of quick problems . None of these are hard | |
25:47 | , but let's get some examples . What if I | |
25:50 | do the limits from N is equal to one up | |
25:53 | to six of n plus 10 . What I want | |
25:57 | you to do is I want you to write it | |
25:59 | in expanded form . I want you to take the | |
26:00 | some the summation notation and I want to expand this | |
26:04 | into the full blown some what do we do ? | |
26:08 | We just go through as a loop . Like a | |
26:09 | little computer program when it is one end goes into | |
26:12 | one here , one plus 10 . Now don't do | |
26:14 | too many things at once . Don't try to add | |
26:16 | one plus 10 in this step . I don't want | |
26:18 | that . I want you to just put the number | |
26:19 | in there because if you do too many things at | |
26:21 | once , you will make a mistake when the problems | |
26:23 | get harder . What I want you to write down | |
26:25 | for the first term is in being 11 plus 10 | |
26:28 | . This is the first term . When I put | |
26:30 | it in here , I'm going to add to that | |
26:32 | because it's a summation in being too there will be | |
26:35 | two plus 10 , right ? Then it will be | |
26:38 | three plus 10 , Then it will be four plus | |
26:42 | 10 . Right ? We'll go down here , then | |
26:44 | it will be five plus 10 , Then it will | |
26:47 | be six plus 10 . Because then finally in has | |
26:52 | gotten to its maximum value of six . Now , | |
26:54 | in the next step , then you go and add | |
26:56 | you say this is 11 . This is 12 , | |
26:59 | 13 , 14 , 15 , 16 . Now , | |
27:04 | I know that you can all gravity calculator and add | |
27:06 | these up . I don't want you to do that | |
27:07 | . What I want you to do is circle this | |
27:09 | because this is what we call expanded form form , | |
27:16 | right ? All I care about is that you can | |
27:18 | translate what the summation is telling you the sigma and | |
27:21 | write down the some . That's all I care about | |
27:23 | . I know that you can all grab the calculator | |
27:24 | and add those together . Isn't that isn't helpful to | |
27:27 | me what I want you to know what I want | |
27:29 | to know is if you can take the some the | |
27:30 | summation sigma and blow out the terms later on . | |
27:34 | And a few lessons , we'll talk about how to | |
27:36 | add these things together . I mean , obviously you | |
27:37 | can have these . But what happens if there's 1000 | |
27:40 | terms ? How do I add them up without spending | |
27:42 | my whole life doing it ? All right . So | |
27:45 | that's writing an expanded form . We're gonna do one | |
27:47 | more like that and we'll call it a day and | |
27:48 | wrap up this lesson . What if I have The | |
27:51 | summation end is one up to six and the sum | |
27:55 | and is 2 to the power of n . Okay | |
27:59 | , So what you do here is you say In | |
28:02 | his one , so two to the power of one | |
28:05 | . Then in goes to to to to the power | |
28:07 | of to then in goes to 32 to the power | |
28:10 | of three . And you see the pattern here too | |
28:11 | . To the power of four , two to the | |
28:14 | power of 52 to the power of six . I | |
28:16 | stopped at six because N has finally reached its maximum | |
28:19 | number which is six and I stop . If there | |
28:21 | was an infinity here , then I would just put | |
28:23 | dot dot dot and I would keep the terms would | |
28:25 | go forever . But this is a finite series . | |
28:28 | All right . And so then you all know that | |
28:30 | this is to this is for this is eight . | |
28:33 | This is 16 . This is 32 and this is | |
28:36 | 64 90 the calculator . To figure these last terms | |
28:40 | out . But you can see what's happening is it's | |
28:41 | doubling , doubling and doubling again . This is what | |
28:44 | we call expanded form . That's what I want you | |
28:46 | to write down . All right . So , in | |
28:48 | this lesson , we have learned a tremendous amount of | |
28:50 | material . It's probably one of the more important lessons | |
28:52 | uh in recent times because it has such far reaching | |
28:56 | implications to calculus and other events math . Beyond that | |
28:59 | . We started out by saying that we have the | |
29:01 | concept of a sequence . It's just a listing of | |
29:03 | numbers . When you add up the terms of the | |
29:05 | sequence , we call it a series . It's a | |
29:07 | finite series when it has a limited finite number of | |
29:10 | terms . Right . And then we said , we | |
29:12 | can have an infinite sequence where the terms of the | |
29:15 | sequence just keep going and going and following the same | |
29:17 | pattern forever separated by commas . If we add up | |
29:20 | those terms of the infinite sequence , we arrive at | |
29:23 | what we call an infinite series . Now , because | |
29:25 | the terms of the sequence can be arithmetic or geometric | |
29:29 | . Then we also have instead of just arithmetic sequence | |
29:31 | in geometric sequence . We also now have arithmetic series | |
29:35 | and geometric series . There are other kinds of series | |
29:38 | in math that you'll learn in more advanced classes . | |
29:40 | It's not limited to just these . There's tons of | |
29:42 | other kinds of series . There's power series , there's | |
29:45 | all kinds of things . I don't want to get | |
29:46 | into them . But there are other series that have | |
29:49 | other names that will learn down the road . Then | |
29:51 | we talked about the summation notation . It's basically a | |
29:54 | loop that you just crank through calculating the answers uh | |
29:58 | , through the some end and you just follow the | |
30:00 | limits of summation here . Uh and basically that's it | |
30:04 | . You just crank through it and then we have | |
30:06 | the idea that you can represent an infinite series . | |
30:08 | Also with the summation notation , where infinity becomes the | |
30:11 | upper limit . Importantly , we also said that if | |
30:14 | you change , add or subtract numbers to the index | |
30:18 | in here , you can compensate for it by changing | |
30:21 | the limits of of the summation so that you can | |
30:24 | arrive at what looks like different answers , but they | |
30:26 | give exactly the same series . So they're both basically | |
30:30 | correct . Uh and that's going to pop up in | |
30:32 | problems later down the road . And then we just | |
30:34 | did a couple of problems explaining how to write an | |
30:36 | expanded form . Very soon . I will give you | |
30:39 | the expanded form and ask you to write the summation | |
30:42 | notation for me . So what I want you to | |
30:44 | do is solve every one of these . Make sure | |
30:46 | you understand it all . Follow me on to the | |
30:48 | next lesson . We have several lessons in seed and | |
30:50 | series and sigma notation and we'll get into arithmetic series | |
30:54 | , geometric series , a lot more detail , infinite | |
30:56 | series as well as we progress through the lessons here | |
30:58 | in series and sigma notation . |
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