字幕列表 影片播放 列印英文字幕 Well first of all I want to say that em-- it's such a pleasure to visit again with the Numberphile family I haven't seen you guys in a long time so hope you're doing well I wanted to talk to you about something which I've been thinking about lately and part of the reason is that um-- I'm teaching this class at UC Berkeley linear algebra It has to do with numbers because of course you know, i love numbers I do numbers for a living I'm a mathematician hello and I know you guys also like numbers because you know we are watching Numberphile But also being a mathematician I think um-- I have a certain vantage point which sort of enables me to see perhaps better than people who are not professional mathematicians not only the the uses of of numbers, but also limitations of numbers and this in particular you know i was interested in this as I was following a debate a recent debate which many of you may have seen in a-- play out in the media about artificial intelligence what do we mean by artificial intelligence I mean of course we can mean many different things but essentially we talk-- we're talking about computers right? We're talking about computers, we're talking about computer programs, we're talking about algorithms How do they work,? they work with numbers To me um-- when people say that humans are just specialized computers, and eventually we'll just bid-- build more and more powerful computer so that eventually they will surpass the power of a human em-- That kind of line of reasoning to me kind of betrays this idea that somehow the human is nothing but a machine; the human is nothing but a sequence of numbers It is really something which were-- lives and dies by numbers you see so that's why I'm not suggesting at all that there is nothing [more] to math than numbers. Of course there are many other things, right So for example there is geometry and so on, and in fact i will demonstrate now or I will-- I will I hope I will demonstrate (that-- that's my purpose) that in mathematics there are many things which we often confuse with numbers but which are not actually numbers. or they could be represented by numbers but numbers do not really do justice to them And so would like to eh-- show you this one example which came up in my linear algebra class, and this has to do with vectors So look at this brown paper, so it is on this-- on this-- on this table, right? Imagine that it extends to infinity in all directions So you can think about as a two-dimensional vector space; let me do-- be a little bit more concrete Let me take a point, there we go, so this point will be the origin this will be sort of like the zero point of this vector space, ok,? and now i want to talk about vectors And so a vector to me would be something like this, you see, it's an interval which has a length and a direction and it starts at this origin which I have fixed once and for all-- this is fixed once and for all Here is another example of a vector and so on, so a vector is right here So the totality of all vectors is essentially the totality of all the points of this brown paper right,? because for every point i can just connect that point to the origin and point to that point Now, it's not just a static thing; it's not just a collection of vectors, which it is, but there is more For example, we can add any two vectors to each other, and many of you may know how to do this It's-- it's called the parallelogram rule sooo that's the intersection point Okay, very nice but it's not very functional because they are-- yes the vectors are here they're concrete-- they're kind of concrete they live here, they have the separation but it's very difficult to work with them so we try to make it more functional and we do it more functional by introducing a coordinate system but the coordinate system or in linear algebra we call it introducing a basis so now we come to the crucial point ok the crucial point is the basis I want to try to coordinate grid here that's what I want to do I don't know just gotta coordinate grid and so for example I can use well let me use another this color so i will have two coordinate axis so what them let's say goes like will go like this my drawing is not particularly perfect you know i have two classes today so please excuse my my wiggly lines but I hope the point is clear so usually what we do we say this is x axis and this is y axis with all this from school and we know this even before we started vectors right with with with we think about it rather usually as representing points but now i want to think about more as vectors and then we will see why another way to think about this to give this two axis is the same as to give two unit vectors along this axis so one of them would be this one say and let's go you know I don't want to overload it with notation but it could be or something and then this would be another basis vector so this is a basis. they're units so you're the kind of unit relative to something but we'll discuss this was meant to be unit here's what i can do i can represent now this vector by a pair of numbers by simply taking the projection onto the x-axis and the y-axis you see so this point would be some multiple of this vector so it will be the corresponding distance here so it looks like three halves right so this looks more like this looks sort of like 3 halves close to 3/2. it is one and you have the increment which looks like a kind of close to one and this one looks like let's make it let me make it longer so it'd be 2. so its kind of like just kind of rounded up ok so then what i say is that this v1 can be represented by we usually what we write it as a column, as a column of numbers so the first we write the the first coordinate three halves and then we write this - that's what we do in linear algebra. but other people sometimes people write also like this it's you it's your choice. rather than just floating on the paper now, it kind of almost has value that's right it becomes a very concrete thing it becomes a pair of numbers ok and it's very very efficient because once you have once you have that so every vector can be written in this form you see my V2 can also be written as a pair of numbers my V1 plus V2 can be written as the pair of numbers and then we can work with them because for instance what we are interested often is some kind of transformation of this plane and we can feed these vectors this you know this vector representations pairs of numbers into about those transformations so this is all great and this is very important to do that to kind of actualize vectors by numbers so they become actualized you can think also of this by the way is a kind of a coordinate grid so I impose a coordinate grid so then each of them is can get an address but this is really isn't it is the address of this vector with respect to this particular coordinate grid it's very important to realize that the vector exist even before we introduce a coordinate grid and think about it like you said the ship exists even before we look at the relative to an island or another ship or a person and so on or you know I existed even before I have an address it before you find out what my home addresses or before I choose my home you know I already exists and likewise a vector exist even before we introduce the coordinate grid and it's clear why because look I drew it before i had any coordinate system I drew it already it was already there on the brown paper there is no denying the fact that it existed before right but what I did not impose something on it and the vector if you think about it vector couldn't care less what we're doing whether it's just sitting there and enjoying its life or whatever their whatever it is whatever it involves you know but we came your i came i imposed on this place I imposed by putting this coordinate system is coordinate grid and with respect to this coordinate grid I have now represented that vector by a pair of numbers but very important very important thing to realize at this point is that I had a choice I had a choice I could choose this coordinate grid in a different way and this is what i teach my students in linear algebra i tell them someone else could come and construct a different coordinate system you see a different courses or I could change my mind and I could create a different coordinate system this is our imagine that these are the two basic basis vectors now going along the x and y as I drew them originally but now imagine the tip well it could be like this and they could be like this like that and in principle you don't you don't even have to be perpendicular to each other as long as they're not parallel it is my free will if you wish you know it is my free will is in choosing that but once you realize that there are many coordinate systems many coordinate systems and I have a choice of making creating this coordinate system, or someone else could come you could do it Brady you could make your own coordinate system and we cannot i cannot convince you that my concern is better than yours they all are on equal footing but now because we now realize that this involves certain choice name is a choice of the coordinate system it becomes very very clear that this pair of numbers is not the same as the vector and in this is fine this is how it works but it's very important to realize that because often times we hear we get so caught up in this process and we get so excited that G we can represent a vector by a pair of numbers and we forget the difference and we start we convince ourselves we start believing we start believing that actually there is no difference between them but what I'm arguing is that there is a big difference and that's what I teach my students and this is very important because you see I mean let me put it this way if I could ask this vector if this vector could talk and I could ask this vector what are your coordinates you know the record we be like, "What?" what are you talking about? what coordinates he doesn't he or she you know doesn't know what the coordinates are. The fact that its just there it just is I came and I try to sort of put it on the box if you will I try to sign some numbers to it professor you are talking like a vector is a real thing that we applied an abstraction on to this is the vector itself an abstraction to start with the effect is not a real thing a vector is just as imagined as the coordinate system that you imposed on yes and no because well you see they are abstractions we are now in the world of abstraction and my point is precisely that even in the abstract world of mathematics you have entities you have things like vectors which are not the same as numbers how can -- if you appreciate this -- how can you believe that the human being is the sequence of numbers you see what I mean? how can you believe that life is an algorithm if you already see in mathematics in the abstract world of mathematics you find things, which exist which makes perfect sense we can work with them like take the sum of two vectors without any reference to coordinates or anything like this how can you believe that that is the same as the pair of numbers it's not if you look closely at how we got that pair of numbers out of a vector you realize that involved additional choice so every time we make this procedure we are projecting that vector sort of on to our particular frame of reference let's look at this Cup now I can project it onto the plane ok I can project it onto the plane when I project it onto the plane I see what do I see I will say disk well with some little thing protruding which you know obviously but more or less the disc and on the other hand I could project it onto this whiteboard onto this wall what will i see well if i put it in a particular way you will just see a rectangle ok so let's say you look at this projection what do you see you see a disk and and or you look here and you see a rectangle so you might say what is this is this a disk no is this a parallelogram? again, no. Then someone else could come and say AHA maybe it is both a disk and a parallelogram and he or she was still be wrong because this is an entirely different thing you see yes I can project it down and i can record the information and it may be some useful information but it doesn't do justice to this whole thing and neither does any other projection and likewise with the vector think of a vector as a cup it's an object of an entirely different nature than a pair of numbers you can apply the same technique not only two vectors but to other things related to this vector space for example what we call linear transformations a typical example of a linear transformation would be a rotation of this brown paper around this special point around the central point and then you know i'm teaching my class and it is a kind of funny things i'm teaching my class this is textbook which we use and so and they can I get into this I get to this point the matrix representation of a linear transformation they kind of hit me you know the matrix you know and so of course you know i remember that the famous movie in this like you know remember the Morpheus was saying to Neo: Do you want to know what it is and that's exactly what I'm asking right now do you want to know what it is well the matrix on the one hand is a very efficient way to package information to convert objects like vectors and linear transformations into collections of numbers the menu is not the same as a meal you know you can read the menu you can order restaurant it can read the menu all you want you can even call the way that come to your table and explain every ingredient you can ask the chef to come and explain the process of cooking you can get all this information but I'm sorry it's not the same as eating that meal eating that dish right so it is something like this and my point is that this matrix representation on the one can be very useful just like our computers are very useful algorithms are very useful or they can you know if we forget where they come from where this programs come from where these numbers come from and when we forget the difference between the actual things they represent and the representation that's when we create the kind of matrix that Morpheus was talking about it you know and Morpheus said you create the you know the prison for your mind that's what we do when we forget that difference between the objects themselves and representations so my point is let's use that representation let's use those numbers let's use computers you know to our advantage and we are using them but let's not forget the difference between the essence of life so to speak about things which just are which we are trying to represent and the sequences of numbers which we get as the result of that process of representation I get asked about this all the time you know a famous author recently asked me you know he said so you're a mathematician would you say that life was an algorithm you know people ask me or is human just the sequence of zeros and ones you know you have people like Ray Kurzweil, who believe that they will be able to build machines so that they could upload their mind and the brain or whatever whatever they got you know onto those machines
B1 中級 數字與自由意志 - 數字愛好者 (Numbers and Free Will - Numberphile) 4 0 林宜悉 發佈於 2021 年 01 月 14 日 更多分享 分享 收藏 回報 影片單字