What is a Natural Log Ln(x)? - Part 1 (Logarithm w/ Base e - Euler's number) - By Math and Science
Transcript
00:00 | Hello , welcome back . The title of this lesson | |
00:02 | is called the natural logarithms part one . Now I'm | |
00:05 | really excited to teach this lesson because what usually happens | |
00:08 | in math is you go through algebra , you go | |
00:10 | through trig and Pri Khao and calculus and right around | |
00:13 | that time you start to bump into these logarithms all | |
00:16 | the time . And then more specifically when you get | |
00:18 | in the calculus you start bumping into the natural algorithm | |
00:21 | all the time . I mean almost every problem , | |
00:24 | especially in advanced math ends up involving a natural log | |
00:27 | or an exponential function with this base E that we've | |
00:30 | been talking about uh over and over and over again | |
00:33 | . So it just kind of comes out of nowhere | |
00:35 | . Now as we discussed in the last lesson , | |
00:37 | the number E oilers Number E is a 2.71 in | |
00:41 | an infinite decimals , infinite non repeating decimals . After | |
00:44 | that it's a number that has equal stature with the | |
00:47 | number pi it's just , we don't usually learn about | |
00:49 | E until later on in math because you're usually not | |
00:52 | learning exponential functions . In fifth grade fifth grade you | |
00:55 | have to learn about pie because you have to learn | |
00:57 | about circles and now that we're learning about exponential , | |
00:59 | you're never ever going to get away from this number | |
01:01 | E . It's just that important . All right , | |
01:04 | so in this lesson , what we're gonna do , | |
01:05 | I'm gonna do a brief recap of where the number | |
01:07 | comes from . We already covered that extensively in the | |
01:10 | last lesson , but it's worth saying in a little | |
01:12 | condensed version again what that is . And then we're | |
01:15 | going to dive more specifically into the natural logarithms . | |
01:18 | So , you know exactly what it looks like exactly | |
01:20 | what the shape of that curve is , where it | |
01:22 | comes from and how it relates to the exponential function | |
01:25 | there . And then we'll solve a few problems dealing | |
01:27 | with the algorithms that have this natural uh this natural | |
01:31 | not this natural number . This uh this this irrational | |
01:34 | number E as the base , the natural algorithm . | |
01:37 | Now , the good news is all of the laws | |
01:39 | of logarithms that we studied , all of them . | |
01:42 | They all apply to natural algorithms . Never ever forget | |
01:45 | that a natural algorithm is just a regular old law | |
01:48 | algorithm . It's just that it has a very special | |
01:51 | number E for that base . Now , let's do | |
01:53 | a little recap . I'm gonna say recall because we | |
01:57 | did cover this , I did an entire lesson on | |
01:59 | where the number E comes from . There's this number | |
02:01 | E in math , it's just as important as pie | |
02:04 | and it's approximately equal to 2.71828 dot dot dot dot | |
02:10 | dots . Mean that this is an irrational number . | |
02:13 | I can compute e 2 50 million decimal places and | |
02:16 | I will never get a repeating pattern in the decimals | |
02:19 | . The decimal will go on forever , but they'll | |
02:21 | never repeat just like pie . So that's why it's | |
02:23 | irrational . Then as it's called , uh , the | |
02:27 | number E comes from the fact that mathematician by the | |
02:29 | name of Oiler calculated this number and we went through | |
02:33 | the calculation in the last lesson , I'll kind of | |
02:35 | recap it for you here . But basically the number | |
02:38 | E comes from looking at how money grows exponentially . | |
02:41 | So you start off with that exponential growth of money | |
02:44 | and we look at compounding the interest rate more and | |
02:48 | more and more often , eventually compounding every nanosecond compounding | |
02:52 | continuously and out of those calculations fall out this and | |
02:55 | this number eight . Let me take a little bit | |
02:58 | of an aside . A lot of students will say | |
03:00 | , well why is that number E 2.718 to 8 | |
03:04 | . And why is it that exact number ? That's | |
03:05 | a weird number . I agree with you . It's | |
03:07 | weird but you then you have to turn it around | |
03:09 | and say , well why is pi the number that | |
03:12 | it is 3.14159 and the infinite decimal places after that | |
03:15 | ? Why is pi equal to that ? Why is | |
03:18 | pie not 3.17 ? And then a bunch of numbers | |
03:20 | at some point in math , you have to just | |
03:23 | accept that our universe has certain numbers and certain characteristics | |
03:26 | that are just the way that they are in our | |
03:29 | universe . The number pi comes about from looking at | |
03:32 | the circumference of a circle and the diameter of the | |
03:35 | circle . The that conversion ratio there in circumference equals | |
03:39 | pi times diameter . That's what comes about there . | |
03:42 | For the definition of pie . It has to do | |
03:44 | with the geometry of our universe . That's why Pie | |
03:46 | is the way that it is . Why is the | |
03:48 | number Either way it is . It has to do | |
03:50 | with the way things grow exponentially in our universe . | |
03:53 | And the laws of physics and mathematics of our universe | |
03:55 | governed things growing exponentially . And this number , it | |
03:58 | is a very special number that yields a very special | |
04:02 | exponential growth curve with very special characteristics . Why is | |
04:05 | it exactly that number ? Nobody knows . But it's | |
04:07 | the way it is in our universe . And so | |
04:09 | we have to kind of just accept that and start | |
04:10 | to use it going forward . You're never gonna get | |
04:12 | away from the number E . It's just too important | |
04:16 | . All right . So this number E is important | |
04:18 | because of a few things because once I know what | |
04:22 | this number is , then I can define a function | |
04:26 | . This is an exponential function E . To the | |
04:28 | X . Remember we can define exponential functions with any | |
04:31 | base I want , I can make a function F | |
04:33 | of X is equal to 10 to the power of | |
04:35 | X . Or f of X is equal to five | |
04:37 | to the power of X . Or f of X | |
04:38 | is equal to 37 to the power of X . | |
04:40 | When I say F of X is E to the | |
04:42 | X . All I'm saying is the base is equal | |
04:44 | to this really special number 2.718 to 8 . And | |
04:47 | then infinite can never write them down because it goes | |
04:49 | on forever to the power of X . And I'm | |
04:52 | gonna draw a graph to show you why this is | |
04:53 | so special in just a second . Now , as | |
04:56 | you know , exponential function , we can take the | |
04:59 | inverse of this function . And from that we can | |
05:03 | get the the inverse of the exponential function . And | |
05:07 | you all know now that the inverse of an exponential | |
05:09 | ysl algorithm , that's what algorithm is . So then | |
05:13 | if you say that the law algorithm with a base | |
05:16 | E because it's the inverse of this guy is given | |
05:19 | by this . We have this come up so often | |
05:21 | a math that we actually give it a new name | |
05:23 | . We don't call it longer than base E f | |
05:25 | X . We call it natural logarithms of X . | |
05:28 | So if you see Ln of X on your calculator | |
05:31 | , what it means is that's just a log a | |
05:33 | rhythm with this very special number E as a base | |
05:36 | . Don't get so worried about the fact that he | |
05:37 | is a decimal . You can have any number you | |
05:40 | want as long as it's positive to be and you | |
05:42 | want to stay away from the number one . We | |
05:43 | talked about why one can't be a base either , | |
05:45 | but any positive number other than one can be a | |
05:47 | base decimals can be a base fractions can be a | |
05:50 | base . And this is just so happens to be | |
05:52 | international number and it has very special properties that cause | |
05:56 | it to pop up in nature so much . So | |
05:59 | why is he important ? Because we define this exponential | |
06:02 | function . This pops up everywhere in nature and because | |
06:04 | this pops up then it's inverse . The natural log | |
06:07 | or log base E pops up . We never ever | |
06:09 | say log base E . We always just call it | |
06:12 | natural log rhythm of X . Now again , I | |
06:14 | want to do a little bit of a recap . | |
06:15 | Where does the number this number come from ? Well | |
06:18 | if you look at the uh exponential growth of money | |
06:23 | , then we look at the compound interest formula and | |
06:26 | we start compounding more and more and more often and | |
06:29 | so on . And what comes from that is the | |
06:31 | definition of E if you look at a text book | |
06:34 | , it will be defined like this . It'll be | |
06:36 | what's called the limits as in approaches infinity . Don't | |
06:40 | let this word limit scare you . It's actually really | |
06:41 | simple to understand of the following thing . One plus | |
06:45 | one over N . To the power of end . | |
06:48 | Now when you first look at this equation it looks | |
06:50 | like what is this ? This doesn't this doesn't make | |
06:53 | any sense at all . Now what I did is | |
06:56 | I broke that out into a previous lesson in the | |
06:59 | previous lesson . I go in excruciating detail exactly where | |
07:02 | that comes from . That comes from the compound interest | |
07:05 | formula . We've been doing problems with compound interest . | |
07:08 | If you remember one of the , one of the | |
07:10 | parts of the compound interest formula was . How often | |
07:13 | are you compounding it ? That was what we called | |
07:15 | in . Right . Are you compounding yearly than in | |
07:18 | is one ? If you're compounding quarterly in is 44 | |
07:21 | times a year . If you're compounding every day , | |
07:23 | then in is 365 because you're doing 365 compounding periods | |
07:28 | . But in the course of mathematics development people started | |
07:31 | looking what happens if you start compounding every nanosecond ? | |
07:34 | What about every incredibly tiny fraction of a second ? | |
07:38 | What about if you compound all the time ? What | |
07:40 | if you slice the year up into so many little | |
07:42 | pieces that I'm compounding that interest rate all the time | |
07:46 | . In that case the interest , the number of | |
07:47 | compounding periods would go to infinity . You can never | |
07:50 | actually reach infinity , but you can approach infinity . | |
07:53 | That's what this means . And then this is really | |
07:55 | the compound interest formula . So if you start plugging | |
07:58 | in numbers here , for instance , if you put | |
08:01 | the N . Is equal to 1000 into this equation | |
08:06 | , grab a calculator one over 1000 plus one and | |
08:09 | raise that to the power of 1000 . Then what | |
08:11 | you're gonna get is 2.71692 All right . If you | |
08:16 | make and get closer to infinity 10,000 , then the | |
08:20 | number that you're gonna get is 2.71815 . If you | |
08:24 | say it is going to be equal to 100,000 , | |
08:28 | Then you get 2.71827 . You see it's approaching a | |
08:32 | number as N gets bigger and bigger and bigger , | |
08:35 | this number doesn't change very much at all . And | |
08:37 | so what ends up happening is when in the what | |
08:39 | we call in math in the limit , that means | |
08:42 | you can never get to infinity . But if I | |
08:44 | sat in front of my calculator and kept putting bigger | |
08:47 | and bigger and bigger numbers for n until the end | |
08:50 | of time I would have enormous numbers . But this | |
08:53 | number wouldn't be changing very much and eventually it would | |
08:55 | reach a limiting number when that limiting number is what | |
08:59 | we call E and it's approximately equal to 2.71828 dot | |
09:04 | dot dot . The reason the dot dots are there | |
09:06 | is because the decimals go on and on forever . | |
09:08 | Non repeating . So getting closer and closer and closer | |
09:11 | . But this is the actual value of you . | |
09:14 | This is what you will see in a algebra book | |
09:17 | and a calculus book in a trig book . And | |
09:19 | it all comes from the exponential growth of money and | |
09:22 | looking at the compounding periods . We discussed that in | |
09:24 | great detail in the last lesson now because this number | |
09:29 | is so special , then we give it us own | |
09:32 | letter and we define an exponential number with that base | |
09:35 | . And because of that we can define the inverse | |
09:37 | of that , which is a law algorithm with that | |
09:39 | base as well . Let's take a second to sketch | |
09:43 | out uh sketch a couple of graphs . What I | |
09:46 | want to do is sketch this exponential formula uh graph | |
09:50 | talk about the characteristics of what's so special about it | |
09:52 | . And then on another graph , I want to | |
09:54 | sketch this natural algorithms so you can see what the | |
09:56 | shape of that looks like and what's so special about | |
09:59 | that . At the conclusion of all of that , | |
10:01 | then we'll have enough under our belt to solve a | |
10:03 | couple of quick problems with using with the natural algorithm | |
10:06 | . But the punch line is you just use the | |
10:08 | regular laws of logarithms . It's just another algorithm with | |
10:11 | a base E . It's just one that you're never | |
10:13 | gonna be able to shake going here and here . | |
10:15 | Here On out from math . We're never gonna get | |
10:17 | away from natural algorithms or base E exponential . They're | |
10:20 | never ever gonna go away . You will constantly be | |
10:22 | using them . All right . So what I want | |
10:25 | to do is do one graph up here in one | |
10:27 | graph below . And I'm gonna do it freehand , | |
10:29 | which could be a disaster . But I'm gonna try | |
10:31 | to do it in a way that you might graph | |
10:33 | it yourself because , you know , computers are great | |
10:37 | . I love using computers , but sometimes it's just | |
10:39 | nice to grab uh to grab a piece of paper | |
10:42 | and sketch it out . So we know that this | |
10:44 | thing is F of X . What I want to | |
10:46 | graph is E to the power of X and E | |
10:48 | s 2.718 to 8 . And then a bunch of | |
10:51 | decimal points after that . So if I put the | |
10:54 | number zero for X in there then I'm gonna get | |
10:56 | you to the zero which is one . So I'm | |
10:58 | gonna call this the number one and I know that | |
11:00 | I have a dot right there . It always crosses | |
11:03 | at the number one . And if this is my | |
11:04 | scale then here's the number two and then here's the | |
11:07 | number three and I can even go up to here | |
11:08 | being the number four . Okay ? So I know | |
11:11 | I have a dot through here , I know this | |
11:13 | is an exponential . I know it's gonna go through | |
11:15 | this point and it's gonna go up but we need | |
11:17 | probably one more point in order to get it right | |
11:19 | . So what I'm gonna do is look at the | |
11:21 | number will put one here will put two here . | |
11:24 | Three here , we'll put four here . What if | |
11:27 | I put the number one in here then ? E | |
11:29 | to the power of one E . To the power | |
11:31 | of one is just E . But I know the | |
11:33 | about 2.7 2/7 roughly about here . So I'm going | |
11:37 | to say that this point is basically somewhere right around | |
11:41 | there . Is this exact No it's not . But | |
11:42 | it is trying to be the number E right here | |
11:47 | , Which is 2.71 , 8 - eight or whatever | |
11:50 | . So here's my two points . It needs to | |
11:51 | go through here and it needs to go through here | |
11:53 | . So let me go ahead and switch colors an | |
11:55 | attempt to draw this , it's probably not gonna look | |
11:58 | too good . I'm sorry about that . I'm just | |
12:00 | gonna lips already messed up . I'm gonna try to | |
12:02 | go through there as best I can hugs . The | |
12:05 | the guy right down here goes through hooks north and | |
12:09 | then something like actually I'm pretty happy with that . | |
12:11 | That's pretty close to what the actual exponential curve looks | |
12:14 | like . Maybe there's a little , it's a little | |
12:15 | sharp right here , but you get , the idea | |
12:17 | goes through here and it goes through here . Now | |
12:19 | . The question is , or the thing that we | |
12:22 | want to talk about is why is this so special | |
00:0-1 | ? |
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