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00:01 mm hmm. Mm hmm, mm , mm hmm. Mhm.

00:13 Distance now. So so first I black enough since it was coming back

00:21 the end of last lecture. Any complaining about the rest so expensive.

00:32 . For me it helps to have picture in my head of what goes

00:37 there. Not just a bunch of . So this for me helps a

00:41 bit in terms of understanding for 8000 it means to them depending on what

00:48 choose restoration to get linear combination of that needs to stay in some kind

00:54 a vector space. Yeah. Ah the dimension of it is in this

01:00 a number of roles. Normally, I said, you have when you're

01:06 to do these squares. Yeah. conditions. Make a lot of observations

01:14 something. And we tried to use redundancy basically in all the observations,

01:21 out the super friends. Well, sort of the scenario early on in

01:28 examples of sitting right to measure the tensions and temperature or something. In

01:35 case the boy, this relationship between two variables and 15 Observations. And

01:41 you try to make this fit since , so the rest of linear combinations

01:49 and this space that is span by columns of faith and normally the things

01:56 are financial independence negatives have votes. it stays some space. And then

02:04 minimize this expression minimized at least squares names what's left between a C.

02:12 the thing they wanted. Why this is um basically orthogonal. You cannot

02:22 the terror by A. N. . I want to be the best

02:26 finance. See so that this thing minimized and that means it's kind of

02:30 talking about in space in victory and we went through um this equations and

02:36 got this normally questions start getting out . Are there just from manipulating

02:44 That was that. And then so thing I consult this directly, instances

02:51 will just give to this in the . But the advantage of Sharansky's that's

02:59 double symmetry. So it's kind of there are only represented the triangle of

03:06 because the other triangle. Yes. . And mirror image symmetry. And

03:14 you also have to work so the self factor too in computing space.

03:20 you sent to Alaska supported just go the corruption of the mission that was

03:26 But also the point is don't do . Um because of the condition.

03:31 then said one thing that's working okay do and reduced it a bunch of

03:37 . And that's the use also the that's this way of living solving linear

03:42 . Now it's pretty much in the . So that's why I've included inside

03:47 to remember. And then Alright gentlemen stick it into the eight comes in

03:56 AC on this thing here. What this guy here this because the

04:02 Is not a factor those two things . And then you can play around

04:06 the equations that I've got to be little bit in directed. But in

04:11 end So they just naively put eight x equals y. Um and

04:18 S. You are then you get our concepts equals Y. And then

04:24 fuel is this um for the normal that you get the householder you can

04:31 from the left. But if you and then students to other symptoms of

04:36 becomes identity and what's left is part sex. So I don't have the

04:42 to the right side. But it's trying to resolve best. No one

04:47 on dope, wow, Convert to on this one and the next.

04:53 the next thing was to do using right in their composition instead of

04:58 R decomposition of A. And that what is called immigrations. That's taking

05:06 of the fact that both you and are for a normal selections.

05:11 The beauty thank you is the identity the three T. is identity.

05:19 you're kind of unravel. What's Uh huh. This is where the

05:24 is basically this is the vector A X. Is a vector vector.

05:30 these are normally column vectors. When do this thing best you transform it

05:36 a row vector times common vector. then you kind of get you in

05:41 middle if you do that or take thing and we talked about, I

05:46 you get duty, You or your in the middle that is that that

05:52 haven't changed. And I think that's the beauty and the big question and

05:56 you can just start to buy it and get this thing. And so

06:01 was the identity matrix. You can it in. Yes, doesn't change

06:06 . And then they change their association now the investment have sigma best because

06:12 they're multiplied from the left by T. You get U.

06:15 U. At this identity one from right to be then you can be

06:21 . And besides that. So best this. Yeah. So then you

06:29 it's the work of change notation a bit called Z. Yeah. This

06:34 a matrix and vector vector Z. this is another director call. See

06:42 investor be right because this is the matrix and sigma is you should not

06:47 grants because it comes out of a is typically rectangular matrix. So it's

06:54 best is that the rank is equal the number of columns assuming the number

06:59 roles instead of larger. So that's there's some set here. And then

07:04 signals from zero. So it was first part from there Singular right has

07:11 non zero. And it becomes from trivial because there is a diagonal

07:15 Csk leads from the director of components and and sigma zero. The only

07:24 that's left is to seize. And not now the third day to work

07:31 our transformation instead you kind of do same first step here, but now

07:36 of doing to have cube and then you follow that thinking this is

07:42 this from this, it doesn't make . But to basically end up with

07:47 solution that I had a few So and then the purpose then was

07:55 minimize this thing for the the squares . So basically they try them too

08:03 . Um now see why is the thing you came from A So this

08:12 an city and what's not known is . That comes out of this expression

08:18 it defines the first but trying to this expression then we can recover forget

08:24 accent corresponds to it. That that what was on his next time.

08:33 yeah, Back in the derivative and it to zero standard versions than the

08:42 impression. Fc is simple dispersion between see a single around. So then

08:51 have to see and then you can yes, once you have to

08:56 So this came on what was given matrix A and they So then one

09:04 gets awesome expression for well, I the least worst error is in this

09:11 we've got some of the square and of these things are true an

09:17 Oh, so that is kind of SVB for the sport and stopping their

09:29 , what was how much someone's gonna born. So again, it's yes

09:41 this kind of expensive to compute it also gives you sort of nice

09:46 symptoms of what is remaining. And the problem is small enough than become

10:00 complexity or the work and STD may acceptable. And that's what he used

10:05 come to the graphic stand on the video shows. Yes. Okay.

10:15 I guess we suggest summarizing equations of next step and then there was this

10:24 . It is, um, I it's him do this by hand.

10:31 believe me and verify that yes, , the SPD. And as I

10:36 out last time this is the full , there's only two columns so you

10:44 use and reduce and skip this part skip this column, uh, affect

10:50 . So this is kind of doing work than you actually need to

10:54 Um, but that's what, I know if public again, these are

11:03 things and then the new was invasive the organization that we have here is

11:09 views. Oh, sorry. To east of there. But so in

11:19 case and find out what the seas and then we can find out what

11:23 hell is the texas are in terms the lease scaling of the lead actors

11:29 them. Saint jove under their So we're just plugging in the

11:37 So that's what I talked about last I tried to. Yeah. So

11:46 more things and then I'll talk about weeks. So, um, so

11:57 and talk about that. It was in terms of discrete number is going

12:04 have but prison majesties. So now can also do it with continuous

12:14 And then either way you measure the then is essentially for the integral.

12:22 the sum of errors, transitions kind an infinite song in the sense that

12:27 kind of integration, discrete points and adopted. So, so that's kind

12:36 simple difference in some ways. But think of this is no, they're

12:43 their somebody taking there's influential folks and of them. So now He is

12:54 . The approximation we want to find function and you have some kind of

13:02 functions the Gps can do within their to find something that and the dog

13:10 under the squares is too ah The coefficients for mm hmm. That's

13:21 my two, I still have the year. So. Okay,

13:30 So the other thing also, one also if my wants and sometimes that's

13:36 that the terrorists in the interval between and B are not necessarily of equal

13:46 in the application you have. so in that case function also include

13:51 function. That sort of weight how there are different points in the

13:58 wow matters to respect for others in same influence and we'll wait functional.

14:05 example, the one that was used your vote so otherwise the machinery is

14:10 same. Ah now that you plug and they want to have the

14:21 That I was for this expression You plug this thing in into this

14:27 . Um and then what you get then put the some out there.

14:35 deep functions on the outside and then have the city and then on the

14:42 . Thank you. Take this Take them for everything as usual.

14:47 the minimum and you got on the and yeah. Um these are nice

14:58 of diagonal and this is kind of away but before we get that.

15:03 this is just for every mm Okay function when you do unravel this

15:14 On the side so you get three the integral times the derivative respectively.

15:20 . And so what you have them this equation and it's very similar.

15:25 got the matrix you want for every that do seek to find the minimum

15:32 the rest of to minimize this So it's again, vineyard because of

15:40 way the G overexpose defined is linear . That's why you get this when

15:46 get an equation for everything right? each one of these places function

15:53 Each one of the coefficients. Here go basically. And system of equations

15:59 . Um and then if they were the diagonal pcs that matters, that

16:10 it simple. And then there's the that the jews in the book that

16:16 is the championship polynomial. That's the dysfunction. And for whatever reason in

16:23 book, they choose them to use as your waiting correction some of this

16:28 of their weight. The errors basically the um 10. was 1 -1

16:36 one. So this is, it's of ended up not being very nicely

16:41 integral and he appointed us to respond zero but it's values um at the

16:47 points are much more heavily weighted than that's great function fundamentally they can figure

16:58 coefficients. Now they call them down instead of No problem. So we're

17:06 color just shows that if you have continuous functions, the only kind of

17:12 that happens compared to the dispute places some sort of place pretty much families

17:25 on this, this first continuous functions non linear and nonlinear is as

17:35 Not so same. So, some years have a good book so

17:47 something that is roughly as E. the X. And you have to

17:53 out what the buyer for accents welcome the time constant. The many examples

18:00 overtime or it's they came right through financial nation. Great. So,

18:07 clinton's also decreases in terms of making field. So they have a bunch

18:15 observations again and you think their behaviors the X. And some flavor.

18:21 then they want to minimize this Now, unlike anything we've talked about

18:27 far the relationship here between Y and . Is not linear because C.

18:33 in the experiment. So now we the derivative respect to see you've got

18:40 other question that is not linear. so that means it's kind of tricky

18:51 do. But one solution that we do and I think it's on the

18:56 side to cheat a little bit. But the achievement works on that for

19:02 problem. That's the news. It be signed that. Sorry. But

19:09 one looks at this, the if you take the log of

19:13 then all of a sudden the relationship the logger Y and C. Is

19:21 . So that's what happens. Science Stone said, oh, I

19:25 the law, natural law, the . And best now you have a

19:31 ship relationship between the longer wise and economic kind of use the machinery used

19:41 and we can figure out a good proceed. But it doesn't solve the

19:46 problem and solved a slightly different But that's sort of one trick that

19:53 non linear. Okay, And uh I think I'm in your case

20:03 that's right. Kind of use different to try to figure out what the

20:09 . Um So I'm just guessing the that this relationship between the observations

20:18 And and X makes sense. So it's kind of linear and a but

20:23 not linear. And so it's a of fall straight forward. This expression

20:36 the approximation we have for a So in the various independent variable that's

20:43 here and look at from the observation of the squares of errors and go

20:50 and take the derivative. And then get this set of heritage. So

20:58 particularly that illustrated? And the work ? Um It's fun. Looks at

21:08 first equation this time on the street working kind of solvent for A.

21:17 it's just all this for A. you got to get on the right

21:21 side, you have the sum of and on the left hand side is

21:29 sign sign, sign, sign, , square. So this is kind

21:34 A. From this equation. And you can do the same with the

21:40 equation and solve for A. And let's get this ratio between the So

21:49 means the areas. So the confines B. For which this equality is

21:56 true. Then one doesn't distinguish. then you can play it on whatever

22:02 what you want to uh choose these and error or something better. Uh

22:09 what the left hand side is and the left hand side is. And

22:13 figured out A B. For which are equal. And once you have

22:17 deed, then you can stick it . So that's what I'm saying.

22:24 like. Um And we talked about England also of significance that have to

22:31 created to find ways in that case reduce the impact of loss of signal

22:37 all linear problems and other things. at the particular problem at hand and

22:42 to figure maybe um, in this it was the same formulation but was

22:48 to the fact Linda and one variable then the other or in this case

22:56 thing saw this like a different problem hope that that's cool. So I

23:03 that's part of what have we got reports, fixed questions on these Squires

23:13 move on. Not. Mm So next thing was four years

23:30 So we'll see how much of this today. And then But then there

23:35 four years years next time. Oh, after the victorious areas that

23:42 continues functions. Next time I will about it's practically most useful. Just

23:52 fourier transforms and fast forward. so here is a little bit of

24:01 of words that people use. Will transform some twinkies? Not much of

24:06 idea. So there is something examples people over and that said years

24:14 The um and what we get in case crystal, Yes, Grayscale image

24:26 looks like the one period but no rings in it. Um kind of

24:33 . See a little bit on the the other rings. It pretty much

24:41 like a total knows. Ah but using fourier transform and a lot of

24:51 actually generates models for this image And in this case, in the

25:00 of the virus. So but mm . So, FFT plays a big

25:07 and converting some something that right, something. Think of work.

25:21 And there's the comments that it's kind useful. They like computing. This

25:26 a very nice application because the normal , if there's something like this is

25:31 increase the signal to noise structure but don't get such amazing image. But

25:38 you had to do it in this , just frying the specimens and you

25:41 absolutely not. Morning, the game is being played in applications of this

25:49 to figure out ways of working with noisy images as you can. You

25:54 , they want to ah walter or of what you're trying to communications and

26:04 . This is nice because the better number computer and the rest of the

26:11 . Oh, interesting for this Vargas was another one. So

26:20 today says here there are solutions. , this picture was about eight own

26:30 among those instructions. 10 to the m. So, on the spot

26:43 from, from a nanometer. So they do a solution for about

26:53 That's what they can look for 50 . Otherwise they are calling TF

27:01 and the department professor settles they This is and it turns out and

27:18 that case um what you're measuring. not or has ever been. They

27:27 get an image out of it Yeah, in verse dependence on this

27:36 observations are made in the frequency So we're trying to get something out

27:41 that inverse fourier transform. Absolutely. then the structure and then they will

27:49 other ones here an example from They also um, the property is

27:57 find the spectrum of frequencies that they do here. The resolution or the

28:12 of the transforms can be very So I have a The side of

28:20 things trying to eat 200 pixels for kinds. They work with signals that

28:27 billions of 4th. So we talked always also try to emphasize scale is

28:37 to many context and in this case definitely important for these fellows the harder

28:45 and the And these are the work other things to do with weather and

28:50 situations and also partial differential equations. turns out sometimes it's easier to find

28:58 solution for your space and the geometric china's space stuff. Okay,

29:07 So this is the opposite to make observations and frequencies places that that's you

29:12 like to see a picture and try understand. So this is just sample

29:19 lot. Oh, you selected So it's important together show the example

29:29 fulfill the strongest the position of my . That tends to be the problem

29:38 . one algorithm that is most likely it's used in similar processing all the

29:46 sciences, everyone. So it's But a fast one. And not before

29:55 transforming to talk about today. What want to talk about today is a

30:01 for this kind. So and then general questions transform. So first thing

30:14 that we have to develop sort of for using four years serious and there's

30:19 bunch of equations on sites but essentially is using um big functions and some

30:31 the times. They are very powerful the sense that it was use this

30:38 mentioned in mpeg standards and the apex early on because turns out from any

30:47 type someone to do compression on. didn't take all that many of these

30:53 . And the cases that we talked . Yes. three functions of the

30:59 function then you didn't need many of that needs to represent the signal of

31:05 image. Just for the few provision the different basis functions so that you

31:13 AIDS and the bees and that was of enough to the present. And

31:19 as strong as ever standard and receiver that this is a proficient for their

31:25 For what three functions then you can that was and we'll talk about the

31:36 problems. Mhm. So this is I like most of the examples of

31:48 talk about. So This is basically for your series approximations to look

31:57 That's the so f previously the function tried approximate. Then we hunted up

32:10 and G. Is the one racist in this example or there's a certain

32:20 and now it's a continuous problem as in one of these squares. So

32:27 we work with an integral instead of . And then given that there will

32:34 strict functions when he and in development in center represents one period minus 55

32:46 . But This is the chosen a interval around 0.55. It's one period

32:55 the bass frequency. Go on. thing that that's the sign of extra

33:03 . Sign of extra supposed to sign course. Okay, cancer. Ah

33:15 And so the two norm since it's to be in the product defined in

33:21 particular way. So in this case The two norm was the sum of

33:31 ? Okay, thanks. All Square of the mr someone square I

33:38 in this place. And the song a young and replaced by the

33:43 So this case uh The function happens be one. uh the basis function

33:50 one. So university integrate One over center malls and I'll give you

33:55 Oh, tell me why. But important. Now, so again,

34:04 basis functions are here. So we with one. So this is what

34:10 do. Uh huh. Being the or the norm in this space points

34:19 , it tells you that it's not because the body was too far.

34:28 Now then there's our functionality. So have the fund is one of the

34:32 functions and then there's a whole school or trick functions. So look at

34:40 integral Between one of these places functions one and another one. Goldstein protect

34:47 all make it simple. So this kind of integration of one respectively.

34:53 one of the coastline functions and if integrate anyone of the trip functions call

35:00 or sign Over the whole interval from it's there when it goes up and

35:07 . So that's equivalent much about the . Axis as it's been all the

35:13 . Axis regardless of and the multiplier front of their dollars. So many

35:20 johann between minus island high. It's there. It's about things. One

35:26 a stroganoff for every call sign version every sign version. And that's kind

35:32 the first step. Now the other what about sign versus co sign?

35:42 let's see if it was so I can't remember. 560.

35:50 I think that happens on the next . And it turns out that so

35:55 are orthogonal. So one was a with respect to both post and scientists

36:01 of the multiplier. So sine and are also octagonal respect regardless of the

36:09 . And M. Then there's cold of one Flavor vs coastline of another

36:15 And that's also a diagonal uh in sense of them and and it's different

36:22 in zero and otherwise it ends up upon yes, that's the coastline

36:33 So if they're equal, then question negative, yes. Um, private

36:40 positives. That's all positive elements. why it's no Longer zero. But

36:47 turns out to the party and similar the suns that they were talking about

36:53 respect to each other than they are And then they have, they don't

36:58 about it. But it's also far the same sign what? So banish

37:08 front and center here. So the man shows up these beliefs and this

37:15 I think from the exercise of proving true, but it means that

37:21 regardless of energy, you can continue . And these basis functions for 4000

37:28 checks But they are not normalized because guy was two points. It's not

37:34 and this place is fine enough to care of that. So let's see

37:42 for this. And, and to the work for me is that this

37:49 are zero or five. These are uses strict formulas by breaking it down

37:57 some of Carlson functions instead of a . Then it's easier to integrate each

38:03 of them separately. Uh, and guess it was down here in the

38:09 of the science of this is this that is in the product and do

38:14 integration of this product sign and This expression target in under the

38:22 not this the best the instagram approach sign. So that sign and

38:29 And if again these guys are It's An integral over one or multiple

38:38 . So that means each one of are definitely 20 unless them is important

38:44 them and then it depends. so then, so she said that

39:01 there's someone who's died. Sorry. basically what was said that this was

39:08 high. This part is for a . These guys were a cardinal except

39:18 Eminem is equal centering this. So have this for the whole set and

39:26 were not normalized so one can normalize then bye scaling that each one.

39:34 instead of just having one we have over square root of two parts.

39:38 when you multiply it by itself to them to fire that comes out of

39:43 guy. So we'll take yes. are so that's the way that you

39:53 need length. And now all of functions are normalized. Ortho normalized,

40:00 and normalized if they go through the exercise and come into this pain

40:07 Yeah. Ah mm hmm. The expressions. So this is thank

40:18 And when I come to show you terms of confusing for your transform then

40:23 will see the scale factor shows up one way or another and it's not

40:29 consistent to use someone you use from T routine. If you don't want

40:36 yourself, you have to pay attention escape doctors sometimes because it's not it's

40:52 exact. Mhm wow. There is inverse fourier transform. So I want

41:10 apply the forward and then the inverse transform you should that star functions that

41:18 normal um defying and performance and an whatever it is should return whatever it

41:26 . But if people don't use the basis functions, that's not true.

41:33 if you just use a normalized these after you apply for your transform using

41:41 space destruction and we would apply the from your transform also used the same

41:49 functions. Then the result is the thing scaled by please street by

41:58 So that is the policy that can . That's right. Let's go any

42:10 so far. So this is the functions and you have a complete set

42:16 the constant Normal is kind of the of the two and then the various

42:23 functions of all different witnesses. So that is the four year serious

42:31 . I can use that in the . Mhm. Okay then. And

42:44 four year series representations of functions there simplifications but in terms of reducing computational

42:58 or memory of apartments in terms of many proficient do you need to represent

43:06 signal? So for that one of franchise between what they haven't even function

43:14 not but this is an even function it's kind of symmetric with respect to

43:22 Y axis. So the first one X deployment intercoastal function for instance to

43:29 the same value. Um Cynics is for all that. That's the odd

43:39 . That's what it to your The next value for the negative

43:44 Files. We've got the same in but the sign is different. So

43:48 that case the differences talking the negative the arguments instead of its positive

43:55 The outcome is the same magnitude but office. So what's his name is

44:04 one No 1 does content in fact Yes serious expansion of the single.

44:18 if I have an even function very one of this kind of expect from

44:25 that is symmetric with respect to And take the assignment is what then

44:34 whole thing is. Uh huh. yeah and this has sense whether you

44:42 X and minus X. When you sign with that it doesn't affect

44:49 So if you are on the negative it's the same time it's invested here

44:53 the positive side. So that But to sign his opposites in that

44:59 this instagram for any even function will zero. Yeah the values for plus

45:09 minus X. On the opposite. but the integral um is zero.

45:17 that means the only thing that demands the glorious series are the coastline terms

45:26 the expansion on the side in terms . So that's what so that means

45:34 only need to complete half as many in this case. The provisions for

45:40 all the time basis functions. It one else if they want the same

45:47 half the work. This one that sort of function etc. Similar.

45:54 the function is on that they can an online even they still are.

46:02 then in this case it means that that the coastline proficiency No.

46:10 representation then of odd function only includes , Face it Fox. And then

46:20 need to confuse these things. So, this is a sad

46:32 The principle of four years here is of a function looks like this or

46:41 . This is not. So I'm on the next an approximation but it's

46:46 terminated. That's for less than infinity you have an approximation. But it's

46:54 opinion that have an infinite series. when certain conditions, it's an executive

47:02 . And the moment it is a function. This holds true. Then

47:07 can exactly represent X over in for . This expression And here are mr

47:16 base of the beast. They People just talked about Houston being the

47:26 . Mm hmm. And then there the simplification. Still exact representation of

47:32 even and exact representation. It's up one of Our Own. Probably a

47:40 type of basis functions and spaces. what? Um All right. And

47:52 from that. So external recording And that's being used in Dean's loose

48:07 that time for some other packages stay . Yes, known as all that

48:13 we don't use the property. We some other motion capital efficiency to watch

48:22 movie. And then there are the that are going to talk to you

48:28 time. Additional symmetries or just to ourselves reel um uh from so there's

48:44 versions of bullion transforms that produces them to work. But let's talk about

48:54 coarse approximation before I get ahead of too much. Um so now the

49:01 that nose to find that serious in case ah basis functions or at least

49:10 its approximation to go back to that of continuous functions. So chapter minibusses

49:17 on the square Aaron um Overactive against wall. Again, the same thing

49:23 do. So now produce enormous version , then um can look translating structure

49:38 the context of all deciding how many dysfunction. What makes sense in order

49:51 minimize the squared error. Ah and that showed ah the proficiency and this

50:00 of expansion we respected. The basis is basically the senior product on this

50:07 of the integral of if you respect the corresponding basis function divided by the

50:18 hmm value. I think it's not . The scale of the invested function

50:28 . So now if you use these , they were Ortho normalized. So

50:33 This one is the one. So . And so that this reduces to

50:41 have to evaluate this perfect expression because number later is one of the cost

50:47 their own. What the normal principle this was the outcome of the

50:54 I mean for a problem. So the list was approximation over function using

51:06 trig functions as basis that looks something like this. There is kind of

51:15 the first basis function that in normal well as external and then the next

51:23 function which this one normalized and these not proficient just coming out of this

51:30 . The business then why don't even us now? Mm hmm. For

51:36 serious approximation one function. Yes. what your computer is best for the

51:44 grounds function f itself with first of the next basis functions. So these

51:53 the things we need to confuse, get three squares approximation using trig functions

52:00 the function. It's not okay for for Yeah, the more people seem

52:15 find annotation, I think this is just the result of the integral but

52:22 the state factors. And from the that the only thing one simple um

52:29 the A's and the B's difficult one see. And that was kind of

52:35 emotional power. Um just when I the series about Yes. So look

52:51 this expression, Yes, best of A's. Um our coefficient will spend

52:58 respect to even functions if you Even the constant is also very

53:05 And these are the proficiency respect on basis function. So this is kind

53:13 what nothing at the bottom of this . Just making correspondent. So this

53:19 basically now the first set of base in the approximation. Okay, so

53:26 can think of its correspondent for the series, right? It's a bunch

53:31 then there's the rest of it, the character. And in this case

53:35 rest of it. Is that the order advanced dysfunctions from our function?

53:47 , yes. So this is that's first part of the for the expansion

53:54 the basis functions are orthogonal. If want to hire and it doesn't change

54:00 about the producer. You don't need go back and re mark things because

54:04 basis from control of our lives. it's just extending the space and then

54:09 the projections into it additional space that added when nothing you want to paint

54:14 porch. So um but the response , this is them. Okay,

54:26 this I think is now the bottom . So you just kind of the

54:31 of the four year serious stuff. f is continuous or thank you.

54:38 know, piecewise continuous. Including the then before this year is emerges to

54:46 function. If it has jobs, it converges to the midpoint between

54:54 Yeah. So and also accept my says the approach, the jump from

55:00 left and the approach from the I guess approach. Right. Then

55:05 midpoint is that's part of the four series approximation. And the aside from

55:13 new part, it's kind of approximately the limit. So we're just coming

55:19 terms. It will exactly represent the . Yeah. Any questions on

55:31 Oh, what do you want? . Simple person just pointing at our

55:45 . Like when we talk about polynomial the number of integration formulas, I

55:51 using a standard interval and for trig despite the fire, this is convenient

55:58 use but that may not be what have. So that means if you

56:03 another symmetric interval around zero but the in this case the Children of

56:14 but then you can do the transformation variables. So to do this,

56:19 have a new variable. So start this thing that comes between minus pi

56:24 phi that means now the new value electrons between minus 5/2 and Pi over

56:36 . The bounds, you know, got the bucking five, then it

56:44 5, 2. and similarly on other side we're gonna need to take

56:50 replace this is the exit polls. out what the next derivative of

56:59 All this and some of the new . So it is best to affect

57:03 relatives of the relatives of the new this have to do everything that they

57:08 them that their answer going into this of equations to work with different

57:16 The new one, they need to this VX this trunk, I do

57:24 know quantum and then again here's a equation and we're gonna interval and then

57:32 the variables. Then we have extolled to find on the X. New

57:40 of here instead of just at the . And in terms of interval for

57:49 spice here um The scaling factor that from the scaling from one is quite

57:58 party they sent them off. Come in the show working bombs are you

58:06 have to plug in the consequences um This with a new one. So

58:16 fire you cancel out this price. you got two of the three year

58:20 factor instead of one of the market . So it's just variable substitution from

58:29 straightforward and then they've got something for symmetric interval and I think this one

58:37 been in Over to L five months something but you can also do the

58:46 on the interval. So it's not around zero. You can happen and

58:52 did all that from zero safety too with the previous one. Do the

58:57 sort of variable substitution, contracted the case and forget him. Forget is

59:04 it's something that does not so much think of all from and scale the

59:14 . So we're shifting and scaling or . So we're getting our examples underscore

59:29 questions. So so here's the softwood that so this is honest. And

59:39 continuous function has jobs ah, but it's pretty simple. Um, so

59:48 it's an X. And an interval then have a periodic. So it's

59:52 of jealous In this case the symmetric zero. Don't worry. We're all

59:59 on the table. So now I'm to tell you for your serious approximation

60:07 this sorting function. Want to the and flex and extend. That's an

60:14 function. Um, yes, this a zero right integration of aftereffects And

60:25 basis functions zero is the constant. the question is zero. So this

60:32 all versus even function expensive thought. yeah. Mm hmm. All this

60:44 , ah Am coefficients are zero because is co sign that is even So

60:52 the times. Even if it's on integration of any odd function on the

60:59 the point by its. Oh, . So we only have to evaluate

61:07 B coefficient. So here's the function . And then there is the various

61:14 basis functions. And then we can this special immigration for parks. This

61:22 nothing united. We respect the And the way information support works.

61:28 you remember that presumably is ah the or the anti derivative that fits you

61:40 internet and there is a problem formula how this integration works. I don't

61:47 for me, simple to install is try to verify that. Okay,

61:52 think that everything about this. So actually get this thing here and then

61:55 believe it's true. So the derivative this first and when you have a

62:04 here and it's kind of a general we take the derivative of the first

62:12 France's second and then the first one celebrated on the 2nd 1. The

62:18 with respect to experts. It remains . This derivative. Of course

62:25 And when we take the derivative addition and comes out and becomes one

62:29 And so yes. So that thing's . And what you get this this

62:34 the political benefits. Sorry. I that's the verification if you don't remember

62:42 for the integration and functional. Mm . So then if you believe that

62:49 is indeed the derivative of this Now we need to plug in the

62:55 . Um, so look uh the , this stern 1st looking pie.

63:08 why is here? That's fine. co sign for some multiple of five

63:16 Either plus or -1. Right. huh. So, so that's what

63:23 says here. What uh, has power of like this one?

63:30 the other thing is simple. Anything that is in the zero or

63:40 multiple of spy. It's Sign is zero for 0 for 5 - 5

63:50 and five. So this one is . So the only thing that

63:55 that's the name of this type. we plug in on the upper

64:01 Quiet. And this part here, of this part of the point goes

64:06 . So we only get the number depending on and was there and the

64:13 of minus pond depending on Yeah, this is basically indiana yeah something next

64:26 . So this is the best stuff the coefficients are all the AIDS of

64:32 and these four we some functions And so this is the approximation of

64:45 function depending upon how far you go just what you get and it's unconscious

64:52 makes sense again because this low sorted far so quite a bit and I

65:04 I have a picture of yes, . Mhm. Just the national number

65:09 the picture about this is let's talk the difference from credible I have said

65:14 this is now instead of having it , I respect that it's equal

65:19 This is shifted some this representation but can see that depending upon how many

65:26 of the check functions or racist functions against both and both to straight found

65:34 between the and the next step is so this is the shifted interval comes

65:43 as well. It's symmetric or on respectable midpoint so it's still not going

65:52 change its proficient. No need to about. So what we're going through

65:58 same machinery again. zero now it and we're trying to uh so

66:09 this is finally in the function was well integrated equation systems turned out from

66:19 previous Exercise and shifting the interval from then do the integration and now it's

66:30 the constant. And that comes from fact, yes, I've been locked

66:36 ah the previous example I have, was But with respect to the midpoint

66:43 was zero. But it was all on, wow, I was

66:52 So we basically had that it was first and then until it's equal zero

66:59 then it was positive. So now difference is not only shifted in the

67:05 axis but it's also shifted in the axis. So as you can see

67:12 , no part the so in this the average value is action 45 for

67:23 . So this The fact that a now is Not zero that it wasn't

67:30 famous one comes from the heart that's shifted sometimes we talked about it as

67:40 ah the statistic carrier or current, know. So this is the same

67:53 average now. Yeah, we have so now it's kind of a little

68:04 more interesting so that any coefficients with to the callsign basis irrespective and even

68:15 around this place. So we know defined even respect yeah, Y axis

68:25 the fact that we work the center tear ah then in fact it becomes

68:36 with respect to the point taxes. in the end it doesn't shift change

68:42 from now and still the case that worked through all the algebra.

68:46 all the coefficients except from the first that parents every single word But the

68:54 of it is zero. So it's only going to be that's fine terms

69:02 fundamentally it's kind of the same things this sort of service just shifted.

69:07 the four years there is still, ends up being just a set of

69:13 functions doing the same integration, respect sign and algebra and then you're finding

69:21 efficient. So Oh no, it's still only signed functions and there is

69:33 . The first one is in different here and what terms to get the

69:39 that they may be discreet but there's except our trick functions. So they're

69:46 a straight line and one of them the more of them you include the

69:50 to the straight line you get and can also see that it's beginning to

69:56 so with the highest electron here and all of them died. So I

70:00 got to the point between for the period on the center mhm time is

70:12 but you can then do a square in this case. The states now

70:17 is um also and I order not again Sign functions because cosigning respected the

70:34 . So the Coast guard and stop and talked about okay, thank

70:56

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