1 00:00:25,599 --> 00:00:29,349 alrighty when we get started um so welcome back nice to see you all um and what have we been doing in theory of computation we have been talking about touring machines and about uh the power of touring machines we started uh at the beginning by showing um a bunch of decidability theorems that exhibit the power of turing machines to calculate properties of finite automata context-free grammars and so on in some cases and last lecture we talked about the limitations of the power of turing machines by um proving undecidability theorems so we showed that this language atm the acceptance problem for turing machines itself is an undecidable problem that was the first of many undecidable problems that we're going to encounter and though we proved the undecidability of atm using the diagonalization method as you hopefully remember we're going to introduce a new method which we kind of basically previewed last time called the reducibility method which is the way other problems are typically shown to be undecidable um and so we're going to stick with that uh for uh this lecture and also next lecture um we're going to be talking about um undecidability and i think there's going to be a few additional uh discussions after that but this is one of the important uh themes of the course is to understand kind of that threshold between decidability and undecidability or the limitations of computation um so today um as i mentioned we're going to talk about the reducibility method for proving problems undecidable and also for proving problems non-touring recognizable uh turning unrecognizable we're going to introduce this notion of a reducibility um in general and we'll also talk about a very specific kind of reducibility called the mapping reducibility so today as promised we're going to talk about using reduce abilities to prove problems are undecidable or unrecognizable so that's going to be our general method oops make myself smaller thank you i always forget uh thank you um for the reminder so uh so using um reducibilities to prove problems are undecidable or unrecognizable and the basic way that works is we're going to leverage another some problem we already know is undecidable say or unrecognizable to prove other problems are unrecognizable so we did a quick example of that last time we're going to go over that example again um just to set this set the stage and then we're going to talk about that in greater detail um so uh as you recall from last time we had this problem halt tm which is the problem of testing for a given turing machine and an input to that turing machine whether the turing machine halts either accepting or rejecting but just whether it holds um which is a somewhat different problem closely related obviously but somewhat different than the atm problem which is just testing whether the turing machine accepts um you know it's we already showed that atm is undecidable um now conceivably whole tm might be decidable um you know it's not exactly the same problem but we're going to show that whole tm is likewise undecidable uh we did this last time but i'm just going over it again uh i'm going to likewise show that whole tm is undecidable we could go back to the um the diagonalization method and do it from scratch but uh generally that's not what's done generally what people do is they use a reduceability from a known undecidable problem um so what we're going to show is a proof by contradiction which says that if um halt tm were decidable then atm would also be decidable and we know it isn't um that and that's by virtue of what we call a reduceability from atm to whole tm and i'll explain with the terminology and and we'll have a chance to play with the concept all all lecture long um so we're going to see it in all sorts of different vari variations um so as i said we'll assume whole tm is decidable and use that to show that atm is decidable which we know is not true um so quickly going through it because we we did it already once before um we're gonna assume you know that whole tm is decidable let's say turing machine r is the decider and now we're going to show that atm is decidable by constructing a turing machine s which uses r to decide atm that's going to be our contradiction so here is the machine s the machine is you know you have to keep in mind what the goal of s is go s is this we're going to design s to solve atm which we know is not decidable so that don't get confused by that we're aiming for a contradiction so we're going to use s is typically well there might be other variations but for now s is going to be used to decide atm so we can try to figure out how can we decide atm and the way we're going to do it is use our halt tm tester that we assumed um to have and we'll first take our m and w where we're trying to determine it does m accept w and we'll first test whether m holds on w if it doesn't or done because it couldn't be accepting w m couldn't be accepting w if it's not even this whole thing on w um so if it uh r reports doesn't halt we can reject right off but um even if r says it does hold we're still in good shape because now we can run m on w until completion because r has promised us that it's going to halt r r stated and r is assumed to be correct r is stated that m holds on w so now we don't have to worry about getting into a loop which we're not allowed to do since we're making a decider um we're trying to decide atm here so we but now we can run them on w to completion we can find out what what um m does on w and then we can act accordingly so we're using the whole tm decider to decide atm that's the name of the game here okay um and that's a contradiction and so therefore our assumption that whole tm was decidable had to be false so it's undecidable okay um important to understand this uh because this is um sort of the prototype for all of the other uh uh undecidable undecidability uh proofs that we're gonna do going forward okay so we can just take a few seconds here if there's something that you're not getting about this it's a good time to ask not seeing many messages here or any so why don't we go on um but if you know if you ask i can get to it uh next slide too all right here we go so here's the concept of reducibility and i know i've taught this course many times i know where the bumpy uh places are in terms of people struggling with material the concept of reducibility is um is a bit tricky so don't feel bad if you don't get it right away you know so that's why i'm going to try to go slowly in this lecture to make sure we're all together on understanding how redu reducibility works okay so the concept of reducibility is that we say one problem is reducible to another say a reducible to b it means that you can use b to solve a that's what it means for a to be reducible to b okay so uh i'm going to give a bunch of sort of informal examples of that or or easy examples of that and and then we'll start to use it for real so example one this is sort of you know really outside material from the course but i think it's something uh you can appreciate you know everybody knows you can measure uh the area of a rectangle by measuring the lengths of the of the of the two sides measuring the lengths of its uh it's measuring the length and width uh of the rectangle so in other words if you had the problem of determining the area you could reduce that problem to the problem of measuring uh the length and width of the retaining rectangle uh so here um we you know we're taking one problem and reducing it to another problem you know it's conceivable that measuring the um length and width is easier um than it would be to measure the area directly by somehow covering the space with uh you know uh tiles as one way of measuring it um but um it tells you you don't have to do that the problem of measuring the area is easier than measure covering with tiles you can just measure the length and width and you're done so reducibility is a way of making problems easier by by translating them into some easier problem so here's another example that we've already seen we didn't talk we didn't call it a reduceability but um if you remember back uh a a couple of weeks ago we were talking about the languages anfa and adfa the acceptance problems for you know nfas and dfas and we gave a way of solving the a d of a problem as do you remember you know the turing machine simulated uh the fine art automaton and we solved the a nfa problem not by doing it directly but by converting the nfa to a dfa and then using the solution for adfa in fact in effect what we were doing was we were reducing the a nfa problem to the adfa problem um uh um so um [Music] let's do another example here's a problem you know here's an example that you you again probably didn't think about it this way but from your homework um uh uh we had this pusher problem the problem of determining whether a push-down automaton ever pushes on its stack for any input i know a bunch of you are struggling with that problem um working on it hopefully hopefully solving it in one way or another so there's one way to solve it is an effect by reducing the pusher problem to the ecfg the emptiness for cfgs which is equivalent to the emptiness for pdas because um you can take your i mean this is the the solution i had in mind which is a particularly simple and short solution of course not the only solution um you can take your push down automaton where you're trying to determine if it ever pushes and you can take the states um that are about to make a push and instead of making them make a push you make them accept states and you get rid of the original states so now you've converted this automaton to one that accepts every time the original push down automaton pushes and it accepts you know and then it has to move to the end of the input of course so um so it goes into an accept state and moves to the end of the input so every time the original machine was about to push the new machine that you're you're just creating here is going to go into an except state at the end of the input now to test whether the original machine ever uses stack it's enough to test whether the new machine ever accepts a string okay so that's a way i don't want to over complicate this right here and get you thinking about the homework again but this is a way of reducing one problem to another problem and you know if you're you don't quite get this one just focus on the other two examples i don't want to spend time on the on the homework set too right now so we can address that offline or separately if you if you want it's also the solution that's written up in the um the solution set that's posted on uh on the home page by the way um okay uh so getting back to let's see thinking about uh reducibility what i have in mind again this is sort of rephrasing it but i'm trying to hammer it in that if a is reducible to b then solving b gives a solution to a okay that's what happens in each of these examples now that now how we're going to use that we're going to use that in the following two ways one is to observe that if a is reducible to b and b is an easy problem then a is an also then a must also be easy because we have a way of converting a problems into b problem you know an a we have a way of solving a using b so b is easy then now you can solve a two easily because you can solve a using b which is easy maybe that's the clearest up here in example one where measuring the area might seem at first glance hard you could have to walk out over the all the the whole area but it's not hard because you only have to measure the length and the width um so the fact that b is easy tells you that a z but actually this is not the way we're going to be using it most typically we're going to be most using it most typically using it in the second version which is a little bit uh come more a little bit more convoluted but this is the way you're gonna have to get used to this so if a is reducible to b and you know a is hard undecidable unrecognizable whatever the form of hard you care about if you know a is hard and a is reducible to b then that tells you b also has to be hard why because if b were easy then a would be easy but we know by us we're assuming that a is hard so b also has to be hard okay so there's a you know uh um i'm inverting the logic here but this is logically equivalent um so you have to mull that over a bit um and um we will um uh so why don't you think about that and uh let me just take a few questions on the chat and don't forget the tas are there too so you can they're happy to answer your questions don't don't make them sit there lonely um all right so somebody's asking is it possible that a is reducible to b and that b is also reducible to a so that's a good question uh that can certainly happen um in that case in a certain sense a and b are going to be equivalent so solving one is going to be just as easy or hard as solving the other one okay so they're going to be equivalent from the perspective of the difficulty of solving them so somebody's asking and this is a this is a perennial confusion somebody's asking so you know in in the case for in the previous uh slide here maybe i'll just flip back to it here so what which direction are we doing are we reducing atm to whole tm or whole tmt atm the way it's written on the slide is what i have in mind here we're reducing atm to haltia because we're using whole tm to solve atm and that's reducing atm to holtia just like um you know uh here measuring the area is reducible to measuring the lengths of the sides we're using measuring the length of the sides to solve the area so we're reducing the area to the to the lengths the area to the length of the sides but you know i know it's uh you have to you're going to have to play with it digest it get used to it all right [Music] okay so let's continue okay so as i said this latter one because we're the focus on this course is mainly on the limitations of computation so we're going to be looking at uh ways of showing problems are difficult it could be difficult in principle like undecidable or it could be difficult in terms of complexity which is what we're going to focus on in the second half but in both cases we're going to be using the concept of reducibility so reducibility is going to be a theme you've got to get comfortable with reducibility okay so we're going to be focusing more on the notion that if you reduce a to b and you know a is hard that tells you b is also hard okay so i'm going to try to i'm going to say that a few times during the course of today's lecture to try to help you uh get it all right here's a check-in a little bit sort of uh sort of off to the side but i thought it was fun a fun check-in more the question is some people say biology is reducible to physics well maybe everything is reducible to physics since physics is tells you about the laws of the universe and biology is in you know part of the universe so my question to you is do you think and there's no right answer here do you think in your opinion is biology reducible to physics maybe yes or maybe there are some things like let's consciousness which cannot be reduced to physics um or maybe we don't know so curious to know your thoughts but it does kind of use in a sense the notion of reducible in the spirit of what i have in mind here in the sense that if you could fully understand physics would that allow you to fully understand biology okay here we are we're almost kind of interesting uh though not too unexpected i suppose uh um so we are i think just about done five seconds pick anything if you want to get credit for this and you don't haven't uh selected yet ready to go ending polling here are the results and as i say there's no right answer here but but if if i had been in the class i would have picked b um but i'm not surprised uh that especially in an mit crowd that a is a winner all right uh let's continue um okay so now we're going to use reduceability again um this is going to be yet another example like the whole tm example but a little bit more a little bit uh harder um and we're going to be doing this you know the next lecture we're going to be doing more reducibilities but much harder so we really got to get you know really comfortable um [Music] all right we're going to show etm see etm is the emptiness problem for touring machines is this language empty i'm just going to give you a machine i want to know is this language empty or not does it accept something or is its language empty um that's going to be undecidable no surprise proof by contradiction and we're going to show that atm is reducible to etm so um these things often take a very similar form and i'm going to try to use the same form so if you're feeling shaking on it at least you'll get the the form of the way the solution goes and that will help you maybe plug in um to solve problems okay uh so uh proof by contradiction um assume that etm is decidable opposite of what we're trying to show and then show that atm is decidable which we know is false um so let's say we have a decider for etm r using the same letters on purpose here just to try to get the pattern for you so our designing etm construct s deciding atm okay so now um let's think about it together for a minute before i just put it up there um so s i'm trying to make a decider for atm using my decider for the emptiness problem okay so we have r which can tell us whether the whether m's language is empty so why don't we just i don't know stick m into that emptiness tester see what it says i'm just i'm not saying this is the solution but this is how one might think about coming up with the solution so are you with me we're going to take m we have an emptiness tester let's take m and plug it into r see what r says r is going to come back and tell us whether m's language is empty or not now one of those answers will make us happy why suppose r tells us that m's language is empty why is that good well now we're done because what s is trying to figure out we're trying to figure out exactly somebody told me the answer which is correct because now we can reject if m's language is empty it's clearly not accepting w because it's not accepting anything so if r says m language is empty then we're good the only problem is r may also say m's language is not empty and then what do we know well not much not much that's useful for testing whether m accepts w we just know m accepts something but that something may or may not be w okay so what do we do well the problem is that m is possibly accepting all sorts of strings besides w which are kind of mucking up the works they're making th they're interfering with the solution that we'd like uh we'd like to be able to use r on m to tell us whether m is accepting w but m is accepting other things and that's making the picture complicated so what i propose we do why don't we modify m so that it never accepts anything besides w the very first thing m does in the modified form is it looks at its input and sees whether it's different from w if it's different from w it immediately rejects now we take that modified machine and we feed it into the emptiness tester now the emptiness tester is going to give us the information we're looking for because if the emptiness tester says the modified machine's language is empty well we know that m is not accepting w because we haven't changed how m behaves when it's when it's given w but if r says m's language is not empty well then it must be that m is accepting w because we've already filtered out all of the other possibilities in the modified when we've modified the machine so let me repeat that on the slide and write it down a little bit more formally so what i'm going to do is i'm going to transform m to a new turing machine i'm going to call it m sub w to emphasize the fact that this new machine depends on w it's going to actually have w built into as part of the rules of the machine so for a different w we're going to end up with a different machine here so this is a machine whose structure is going to depend on knowing w and that machine is going to be very much like the original machine m except that when it gets an input let's say it's called x now it that machine is going to compare x with w and reject if it's not equal if otherwise if x is equal to w it's going to run m on w as before so it's not going to change the behavior when the input is w it's only going to change the behavior when the input is something different than w and then it's going to reject all right so let's just um i'm going to look at two aspects of this first to make let's understand the language of this new machine and then we'll also talk about how we go about doing this transformation um so first of all let just to for emphasis uh so mw works just like m it has all the rules of m in it except some extra rules um it always at the very first step it tests whether um x is equal to w or not and if it's not equal to it rejects not equal to w reject so the language of that new machine is either going to be just the string w when m accepts w because everything else is filtered out or the empty set if n rejects w got it so it's important that you understand how the behavior at least of this new machine it's just like m except filtering out all of the um inputs which are not w those are going to be all automatically rejected now you so it's also important that s um be able to make this transformation but i claim that you know you'll have to accept this if you don't uh totally see it but the uh the transformation is simply taking m and adding some new rules some new uh transitions and states so that the very first thing that m sub w does is it you know just has a sequence of moves where it's uh checking that the input string is equal to w or not and if it's not equal to w it just just rejects so it's easy to modify m you could easily write a program which would modify the you know the states and transitions of m to make it do that test at the beginning so i'm not going to elaborate on those kinds of things in the future but just for the very first time i just want to make sure you understand that we're not doing anything fishy here this is completely legitimate um thing for s to be able to do so s can modify m to this new machine mw which filters that new machine filters out all strings except for w and rejects them now we so s takes that new machine and what is it going to do with it is it ever going to run that machine no this machine is built not for running this machine is built for feeding into r because as you remember feeding m into r had the problem that m might accept things besides w and that confuses the result that we get from r in the sense that it's not useful but if we feed m w into r now now we're good because if r s you know the answer the information about whether mw's language is empty from over here tells us whether or not m accepts lb if m's if mw's language is not empty then m accepts w if m's language is empty and rejects w um okay uh so let me um starting to get some good questions here uh let me just finish the description of s um uh so somebody's asking here so again this is a good this is an excellent question um uh uh how do we know that m w halts or you know under on w or whatever we don't mw may not hold on w we don't care we're never going to run mw on anything we're going to take mw as a machine and we're going to feed it into r as a description we're going to take the description of mw and feed it into r then it's ours problem but r has been assumed to answer emptiness testing so we're going to just take the we just we just took the original machine modified it so that the only possible thing it could accept is w and now feed it into the emptiness tester to see whether it's language is empty or not now if its language is not empty it has to be accepting w because it's built not to accept anything else so we know we don't care whether mw might end up looping we're never going to run mw i i acknowledge it's a leap for for many of you so you're going to have to mull it mull it over so we're going to use r to test whether mw um language is empty if yes that means that m rejects w so then we're going to reject if we know that mw's language is empty that must have been that m rejected w so now as an atm decider which is what s is m is s is supposed to reject which is what we we have here in the description and if no that means m the language is not empty so m accepts w and so therefore we're accepting so there's a little bit of a twist here also okay so let's let's take some more um i'm expecting some questions here so somebody's asking um how do you determine if a language is decidable that's what we're doing you know you can show a language is decidable by exhibiting a turing machine which decides it and you can show a language is not decidable which is what we're doing here by proving that no it's not possible for a turing machine to decide it you know we did that first with atm we got that contradiction by diagonalization and here we're doing a reduceability um to show as as a method of proof um all right let's let's uh let's continue so now we're gonna talk about a special kind so so far we we talked about reducibility we didn't define it in a precise way um because there are several different ways to get at the notion of reducibility precisely um and i'm going to introduce a one version which is a little bit more restrictive i mean you know somewhat more restrictive and a little bit different way of looking at it than we have been doing so far but there are going to be some benefits to looking at this particular kind of reducibility which we're calling mapping reducibility um it's going to have several benefits for us uh immediately and down the road but it's a little this is also you know a little technical so you're going to have to go don't uh you know don't don't don't don't get scared off you know we'll will it it might look complicated at first we'll um try to unpack it for you um okay so first of all uh if we have here a um we have to first of all talk about the notion of a computable function so so you know generally when we've had turing machines you know they're they're doing yes no they're doing except reject uh kinds of things um so it's like a function just sort of a computing sort of a binary function um you know for here we're going to want to talk about turing machines that are computing some more gener it's a function which converts one string to another string um so it's a it's a mapping from strings to strings and um you know could be like the function which reverses the string for example um that's one uh possible function you you could be having here but there of course met zillions of possible functions here and we're going to talk about functions that you can compute with the turing machine and that basically means you provide the input to the function as input to the turing machine and the output of the function the the value of the function comes out as the output of the turing machine which let's just say it leaves that value on its tape when it holds it holds with the value of the function on the tape um but just you know we're thinking about algorithms here come up with your favorite method of thinking about algorithms it has an input and an output and the algorithm just computes the function by taking as input w and the output is f of w it doesn't have to be turing machines just any any algorithm that can compute something is good enough they're all equivalent um and now we're going to use this notion of a function that you can compute to define a a kind of reducibility called mapping reducibility i'm going to say that a is mapping reducible to b written with this less than or equal to sub m symbol you're going to see that a lot it's on the homework also by the way if there is some computable function as i just described where whenever w is in a f of w is in b and the way to think about it is with this picture so a and b are languages written like here's a and here's b and now there are strings so w might be in a it might be out of a and you think if you're trying to solve a you're trying to have a you're trying to decide membership in a so you want to test whether w is in a or not a mapping reducible is a function which maps things from this space over to that space in a way that strings that are in a get mapped to strings that are in b so if you start out with w and a f of w is in b and if w is not in a then f of w is not in b it's a you know pictorially it's a simple idea we'll have to make sure we understand why this fits with our um concept of a re reducibility but we'll do that but anyway let's first understand just what we're doing here we're just coming up with a function that can do this kind of a mapping it sort of translates problems which you know inputs which may or may not be an a into um other strings which may or may not be in b but sort of maintaining that um uh the same input property uh that's the same membership property so if you start out with something in a when you play f you're going to end up with something in b uh and and conversely if you're not in a then you won't be in b okay um uh some somebody's asking uh so just a couple of questions here not necessarily one to one no so the function doesn't have to be one to one there could be multiple things that map to the same point uh um and is it is there any restriction on the alphabet no um so uh before we actually get into the example let me try to give you a sense about why um we call this a reducibility and the reason is suppose we have such an f which can do the mapping as i described and we also have a way of deciding membership in b so we have so b is decidable so that's going to tell us right away that a is decidable because if you have some input and you want to know is it an a or not you can now apply f and test whether f w is in b so the test of w is an a you uh you're going to instead test whether f of w is in b and we'll we're assuming we have a that that shows that a is reducible to b so if you could solve the b problem that allows gives you a way to solve the a problem again we're going to say this several times in several different ways so if you didn't quite get it yet you know don't don't panic um so here's going to be an example sort of building on what we just showed last time in the previous slide atm we're going to show how atm is actually mapping reducible to the complement of etm and the complement is necessary here the computable function that we're going to give which is basically if you're going to the computable function is going to translate problems about atm to problems about uh etm because we're mapping reducing atm to the complement of etf so we're going to what we're doing here is with mapping m and w to the uh machine mw kind of in a way we're boiling out the essence boiling down to the essence of the proof that we gave in the previous slide this is really the the the core of the proof this translation of mw where you want to know is m accepting w to a new machine mw where you're testing whether mw's language is empty and so this is the you know so remember mw from before it's the machine that filters out all the non-ws and rejects them um and the reason why this reduction function works um is that mw is in atm if and only if m sub w is in the complement of etf so m accepts w exactly when mw's language is not empty okay so m accepts w if and only if the language of mw is not empty so you have to mull this over a bit realize it's you know i i know this is uh can be a little tricky but i think what we're going to do here i think we're at the uh break the time for the break so uh oh no there's one more slide i apologize so let's let's talk about this and then we're going to have our coffee break uh uh so there are um the reason why so this these properties are really gonna be getting at what makes mapping reducible mapping reducibility fit with our understanding of what a reducibility should be so if a is mapping reducible to b and b is decidable then so is a um so that fits with what we want because if a is reducible to b and b is easy then a is easy so here easy means decidable and here's the proof let's take a turing machine that decides b and construct a turing machine that decides a as claimed s operates like this it takes its input computes f of that input tests um uh whether that f whether f w is in b using the uh r machine that we were assuming you know we have r deciding b and if r holds then output the same result so if r accepts we're going to accept if our holds and rejects we'll reject and of course we're going to be simula running r so if r is not going to be halting we're not going to end up halting either okay so the corollary is and this is the way we're going to be using it if a is reducible to b and b and a is undecidable then so is b so this is as i mentioned we're going to be the focus on for us is going to be on undecidability and you may want to think about a is like the atm problem which we know is undecidable we're going to show the atm is mapping reducible to some other problem to show that that other problem is undecidable um and the important thing about mapping reducibility is that also applies to recognizing to recognizers so if a is mapping reducible to b and b is turning recognizable then so is a so if you map you're reducing a to a recognizable problem then a is also recognizable same proof because you can just map your w to f of w and feed it into the recognizer that's going to give you a recognizer for the original language um the corollary is that if a is mapping reducible to b and a is unrecognizable then so is b so this is again that sort of um inverted logic okay so now i think where uh oops i meant to put this picture up earlier uh okay so here's a check in um be more of a check-in for me to see how well you're following me so these are some properties of um i'll give you a minute here to think about this some properties of mapping reducibility um suppose a is mapping reducible to b what can we conclude does that mean that we can flip it around if a is mapping reducible to b does that mean a b is mapping reducible to a what about this one um if a is mapping inducible to b to the is the complement of a mapping reducible to the complement of b or maybe neither so you can and you can um uh check all that apply um multiple choice five seconds sorry to pressure you but we have to move on here pick anything uh if you don't know okay one two three the end um okay so um well the majority is correct um in fact it's only that uh only b um now um a really is not in the spirit of reducibility because um as suggested even by the inequality sign there um a being reducible to b is really a rather different thing than b being reducible to a um so that that's something to we're not going to prove that right here but um that's something that you um could uh think about and uh but part b [Music] i think you you know if you just look here at the definition of mapping reducibility it maps strings in to in and out to out well that's just going to be if you exchange in and out as you do when you're flipping complements on both sides it's still by the same f gonna still work as a mapping reduction okay so uh now we're um at our co break so we're going to take five minutes here and uh and i'll be happy to [Music] take a questions here but don't forget the tas they're here too um okay okay so this is a fair question here you know so we had this notion of a general reduction and a mapping reduction um they're not the same so anytime you have a mapping reduction it's going to be an example of a general reduction but not not the other way around um so you know if you go back and look at the reduction that we we offered for halt tm that where we showed atm is reducible to whole tm where we started it's actually not a mapping reduction um uh because if we're doing something more complicated than that's translating an atm problem to a whole tm problem we're kind of using it using the whole tm decider in a more complicated way and there are cases where that that's actually necessary um so we won't uh um not not going to discuss that here but uh it's actually kind of maybe an interesting homework problem perhaps or some kind of a problem to think about um so turing machines for fs does does f have to be a it's not really a decider but it has to be um well yeah i guess it does have to be to start in the way it always holds the turing machines for f has to always hold it always has to have an output so f um uh for the computing the function always always has to always has to hold um so someone is asking me uh can i explain uh the the statement that if error holds then i'll put the same result i just mean that in that previous slide um or two slides back if r accepts holds and accepts then we're gonna hold an accept and if r holds and rejects then we hold and reject um so i can i don't know if this is a good idea but we can just pull that back here just that was this statement here if our holds and output the same result i just mean that s is going to do the same you know we're translating an a problem to a b problem and then answering the b problem and we're going to give the same value the same answer there uh so whatever r says we're going to say 2. that's helpful um all right uh well that's a good question here um you know if a is reducible to b uh why can't we just get b reducible to a by inverting the function that's a great question i like that question um the reason is is because um the function that's mapping onto b uh doesn't have to be on to surjective i guess um so you can't always you can you're not going to be able to if it was um you know onto so if it covered all of b um then i think then you would get a um an invertible function and it would they you would get the reduction going the other way as well um but uh though i'm not sure what happens when you have doesn't matter if you have collisions it turns out that's not going to matter but anyway let's let's not get it too complicated here but the the problem with inverting it is that it's not necessarily on you know onto the whole range of b uh okay uh so we're kind of out of time here um is a reducible to a complement let me just end with that no not necessarily um it's reduceable take okay that's we'll get there it's reducible a is reducible to a complement um but not mapping reducible to a complement but a in is general reducible to a complement so we'll actually we'll talk i have a slide on that uh so let us move on okay mapping i think it's actually this slide mapping versus general reducibility so we're going to kind of contrast it to a bit so mapping reducibility which is what we've just been talking about has this picture which is i think a very useful picture to remember um and uh because the way i like to think of a mapping reduction as a problem translator your problem sort of in the a domain and the mapping reduction allows you to translate that problem into the b domain okay and then if you have a way of solving it in the b domain combining that with the reduction you get a solution to the problem in the a domain so that's why if a is mapping reducible to b and b is solvable then a is also solvable um so mapping reduction is a special kind of reducibility as opposed to the general notion general reducibility that where we started and it's particularly useful to prove touring unrecognizability so when you want to prove touring recognizable unrecognizability as we'll see the general red reducibility is not per it's not fine enough in a way it doesn't sort of um differentiate things as well as mapping reducibility does and and and for that reason it's not always going to be useful to prove touring unrecognizability it's better for proving undecidability so what we're calling reducibility or general reducibility is where we just use a a solver for b to solve a in sort of a more most general possible way so i'm writing that as the picture here you you want to solve a you're going to use the b solver as a subroutine to solve a that's the way we did the whole tm a reduction at the beginning um but we didn't necessarily translate an atm problem to a whole tm problem a little slightly different uh so you can go back and look at that um so i find that people struggle more with the mapping reducibility concept and that the general reducibility is what people naturally gravitate towards and so in some sense it's conceptually simpler and it's useful to proving undecidability so but you really have to be comfortable with both and especially in the complexities part we're going to be focusing on mapping reducibility so one noteworthy difference here as uh sort of foreshadowed by uh the person who made this question which is a good question is that a is all is reducible using a general reduction to a complement which kind of makes sense i mean if i can solve a cop you know if i can test whether things are an a complement well i can test whether things are in a you just invert the answer but a may not be mapping reducible to a complement because there it's a very special kind of reduction and you just can't necess you can't you have to just translate things in the language to things in the language and things out of the language of things out of the language and they don't necessarily allow you to do that inversion so for example atm complement is not mapping reducible to atm because as we pointed out anything that's reducible to a recognizable language is going to be recognizable anything mapping reducible to a recognizable languages map is going to be recognizable but we know that atm complement is not recognizable we showed that before so it couldn't be mapping reducible to atm you know coming a little fast i realize you're gonna have to uh digest it so here's the last check-in for today um okay we showed that if a is mapping reducible to b and b is turing recognizable then so is a and so let's just say that again carefully if a is mapping reducible to b and b is turing recognizable then so is a and here the difference is on recognize the emphasis on turing recognizable as opposed to decidable is the same true if we use general reducibility instead of mapping reducibility so you got it so we're saying a is mapping reducible to b using this picture over here and we're going to assume that b is touring recognizable okay so that we have a machine which holds an except when you're inside b and you know is going to reject possibly by looping when you're not inside b now that allows you to get a recognizer for a if you have a mapping reduction does it always work to give you a recognizer if you have just a general reduction if you just have a if you just now assume you have a b solver and you're going to build an a solver out of that um okay so mull that over while i'm setting this thing up well the right answer is winning but not by much i suppose i shouldn't be uh laughing about it uh but i i knew that this is going to be challenging so i think it's the kind of thing you're going to have to uh work at um so let's see we're almost done here um five seconds to go better answered i i could see a few of you either you've left the room or you're uh okay two seconds one two three somebody hasn't answered it there we go so this is the correct answer is b it's not the same you're not going the reason is that in a general word i mean the picture's right here i mean so you mean you know this is um let's see uh you know um how do i explain this so uh we know that uh a language is going to be um okay if we're using general reducibility and a is it's just reducible to b um [Music] so we know that a language is always always reducible to its complement in the using general reducibility um [Music] so if this were true um then then we would have here um um so um if this were true when um a uh when a language is reducible to its complement if the complement were recognizable the language would also be recognizable that clearly isn't is not going to be the case because you know atm is reducible to the you know atm complement is reducible to atm using general reducibility uh but um atm complement is not recognizable even though atm is recognizable so we kind of have a proof that this has to be no but as you can see i'm even getting myself confused so um you have to you have to stare at it um so let's let me see we can try to take a couple of questions see if i can clear up people's confusion why again okay so why again is a reducible to its complement in the general sense so i'm saying if you have a solver if you have a decider for for for a complement it gives you a solver for a you just ask the solver you know is the string in the language or not and now um you just give the opposite answer if you want to solve the the complementary problem so the a complement is reduced reducible to a you just invert the answer for whatever the solver is doing for a but you can't just do that inversion when you have a mapping reduction it's a much more um kind of specific translation that's allowed um so i mean the fundamental difference between german disability mapping disability i'm trying to bring it out here it's just it's just a difference in the nature of the way things are used mapping reducibility is a special kind of general reducibility so you know to answer the question about what's the fundamental difference you know one is using the the problem as a subroutine and the one is using it as a um as a transformation um anyway i think we're going to have to uh move on here and i'm going to have a couple of examples which may help and then uh uh there are also there's office hours too after after the after the lecture um okay oh yeah so i wanted to again to help you you know i'm putting these down as sort of templates for how do you use reduceability um i'm not saying you should just uh apply things blindly but i think it's sometimes good just to see the pattern and then to understand how the pattern works once you see that once you just start to understand the pattern of how things are used so to show um a language is undecidable just to prove a language b is undecidable show undecidable language is reducible to be using just a general reduction is going to be good enough um and and the template for that is assume we have r deciding b which you then can use as a subroutine when you make a machine uh turing machine or s deciding a and that's going to be your contradiction if a was originally shown to be known to be undecidable um but now to prove something unrecognizable this kind of reduction is not going to be is not in a sense um uh it's it's not uh as enough um because this kind of reduction allows for complementation which is not going to be uh satisfactory when you're trying to prove touring unrecognizable so you're gonna have to prohibit that complementation and that's really one of the effects of the mapping reducibility if that's sort of getting at the essence of it um so we're going to show an on turing unrecognizable a is mapping reducible to b often you start off with the complement of atm which is a language we know is touring uh unrecognizable as we showed before um okay here the template is you give the reduction function f that computable function um okay so um so here are going to be two examples one showing that etm is touring unrecognizable we showed it was undecidable before now we're going to show it's even in a sense worse it's not even recognizable and the way we'll do that is to reduce a a known unrecognizable language to etm in the emptiness language um so here is the picture that we have when we're doing mapping reductions we're going to map strings that are in the complement of atm so strings that are outside of atm if you wish to strings where the language is empty to machines with the language is empty and here um strings describing machines which language is empty and here we're going to take um uh atm problems so and map them to machines where the language is not empty and the thing that's going to do the trick is going to be that same reduction function that we saw earlier um you know we're going to take that machine w from before the machine that filters out all the non w all the non w's and we're going to take mw which is a you know um an atm complement problem so the so [Music] so if m rejects w then it's in the complement of atm and that's supposed to map to a string a machine which is uh where the the language is empty okay so if mw is in the complement of atm so m rejects w then mw's language is going to be empty which is what you want to have happen um let me move on to my last i mean this example is in a way kind of similar to the one we did before and i i really want to get to my the last example here um okay so uh we'll have to just talk through this uh rather than having it uh uh build um let's take eqtm that's the equivalence problem for turing machines do they uh um recognize the same language um so this is a this is a an a language of a new kind for us this is a language where neither it nor its complement are going to be recognizable to recognizable um so the way we get that is um we're going to reduce the complement the way we show problems are not recognizable is re mapping reduce a non-recognizable language to a typically the complement of atm so we're going to mapping reduce the complement of atm to both eqtm and to the complement of eqtm to show that both of those are not recognizable and here we're going to introduce a new uh machine that we're going to be building inside the reduction function and that's going to be a machine i'm going to call t w and t w is a machine that always behaves the way m behaves on w for every input so if m accepts w t is going to accept everything if m rejects w t is going to reject everything so it copies the behavior of m on w onto all inputs and the way i describe that machine tw is it ignores its input whatever the input is it just simulates m on w you could easily given m and w you can build the machine tw it just always runs mmw no matter what input it gets and so now we're going to give a function which maps atm problems which have the form mw so it's a atm complement problem so this is we want to test if this if m accepts w or not so that's an atm complement type problem and i want to map that to an eqtm problem of the form you know eqtm problems are pairs of machines now and where we're going to be testing equivalents so i'm just trying to give you the form of the output of the reduction function f and specifically what it's going to look like is when we have m is f is processing on mw it's going to produce two machines one of them is going to be tw which always behaves the way m behaves on w but expanded to all inputs and then and then and a machine i'm going to call t reject which just is designed to reject everything now look at just walk through the logic with me if m rejects w tw rejects everything and so will be equivalent to the machine t reject that's what we want if m rejects w so we're in the language atm complement then these two machines that i produce for you are going to be in the eqtm language that's what i want to have happen for a reduction from atm complement to eqtm similarly to do part two i'm going to use make here a different f maybe i should call it f prime all right and you know f1 and f2 for the two different parts so these are two different f's i'm going to make f here on instead of generating t w and t reject i'm going to have t w and t accept which is a turing machine that always accepts its input now if m rejects w it's an atm complement then tw is going to reject everything and it's going to be different from it's companion here t accept and so won't it'll be in it won't be an eqtm complement but if m accepts w then tw is going to accept everything and they're going to be equivalent to t except and you will be uh equivalent so the here is where we're taking atm complement and mapping it to the complement of eqtm um too many compliments here i i realize like compliments are confusing but anyway why don't you mull this over um and uh um just to summarize okay yeah you know we're out of time here but why do we use reducing when we talk about reductions it's because when we reduce a to b we kind of bring a's difficulty down to b's difficulty that's where the reducing comes from um or we bring b's difficulty up to a's difficulty because it's really a difficulty relative to b that we're talking about when we're reducing a to b so that's why the term reducing seems a little out of place when we're proving things undecidable or unrecognizable but that's where it's coming from anyway quick review um we introduced the ter the reducibility method we defined mapping reducibility as a special kind of reducibility we showed etm is undecidable and unrecognizable and that eqtm is both it and its complement are unrecognizable so we're out of time um i will uh shut this down but i'll take a few questions here actually you know i'll stick around for a few questions and then i'll move to the other chat room for office hours okay so question to go over the case for the complement of eqtm so i will do that so that's in this slide here okay so this is the this is proof part two um for the person who asked me to go over it but i think it's helpful for for those of you who are might be a little bit uh shaky on this i want a mapping reduce the complement of atm to the complement of eqtm by the way i don't know if this is going to be helpful but as we pointed out in the check-in a while back that's completely equivalent to having a mapping reduction from atm to eqtm you can complement both sides and you get an equivalent statement maybe let's stick with the compliments here um though i hope that doesn't make it too confusing okay we're trying to show the complement of atm is mapping reducible to the complement of eqtm what does that mean so that means when m rejects w so you're in the complement we want the two turing machines to be inequivalent no yeah so we're in the complement of eqtm so we're with so in other words we're in the complement of atm we want the result of the uh of f to be in um in the complement of eq dm so in other words when m rejects w the two machines should be in equivalent right when m accepts w the two machines should be equivalent because when we're not in this language so we're an atm we want to be not in that language so we should we should be an eqtm so when m accepts w we should be equivalent when m a rejects w we should be inequal that's what we want let's go down here so if m accepts w we want we want them to so when m accepts w want them to be equivalent so if wham accepts w t w accepts everything and it's equivalent to t except when m rejects w t w um rejects everything and so it's not equivalent to the machine that accepts everything so this i hope that's just go through it just go through the logic yourself you'll see why it's working um all right see bye bye everyone you 2 00:00:29,349 --> 00:00:29,359 3 00:00:29,359 --> 00:00:31,109 4 00:00:31,109 --> 00:00:31,119 5 00:00:31,119 --> 00:00:32,630 6 00:00:32,630 --> 00:00:34,870 7 00:00:34,870 --> 00:00:34,880 8 00:00:34,880 --> 00:00:36,630 9 00:00:36,630 --> 00:00:36,640 10 00:00:36,640 --> 00:00:37,590 11 00:00:37,590 --> 00:00:39,270 12 00:00:39,270 --> 00:00:42,229 13 00:00:42,229 --> 00:00:44,790 14 00:00:44,790 --> 00:00:44,800 15 00:00:44,800 --> 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--> 00:10:05,670 311 00:10:05,670 --> 00:10:07,670 312 00:10:07,670 --> 00:10:09,190 313 00:10:09,190 --> 00:10:11,910 314 00:10:11,910 --> 00:10:15,269 315 00:10:15,269 --> 00:10:15,279 316 00:10:15,279 --> 00:10:16,069 317 00:10:16,069 --> 00:10:16,079 318 00:10:16,079 --> 00:10:17,430 319 00:10:17,430 --> 00:10:20,069 320 00:10:20,069 --> 00:10:22,150 321 00:10:22,150 --> 00:10:24,389 322 00:10:24,389 --> 00:10:24,399 323 00:10:24,399 --> 00:10:25,430 324 00:10:25,430 --> 00:10:27,030 325 00:10:27,030 --> 00:10:28,870 326 00:10:28,870 --> 00:10:30,069 327 00:10:30,069 --> 00:10:32,630 328 00:10:32,630 --> 00:10:34,630 329 00:10:34,630 --> 00:10:36,710 330 00:10:36,710 --> 00:10:39,190 331 00:10:39,190 --> 00:10:42,069 332 00:10:42,069 --> 00:10:42,079 333 00:10:42,079 --> 00:10:44,310 334 00:10:44,310 --> 00:10:45,670 335 00:10:45,670 --> 00:10:47,190 336 00:10:47,190 --> 00:10:50,230 337 00:10:50,230 --> 00:10:53,190 338 00:10:53,190 --> 00:10:54,710 339 00:10:54,710 --> 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369 00:11:51,519 --> 00:11:52,389 370 00:11:52,389 --> 00:11:54,230 371 00:11:54,230 --> 00:11:57,670 372 00:11:57,670 --> 00:12:00,710 373 00:12:00,710 --> 00:12:03,030 374 00:12:03,030 --> 00:12:04,790 375 00:12:04,790 --> 00:12:07,670 376 00:12:07,670 --> 00:12:07,680 377 00:12:07,680 --> 00:12:08,629 378 00:12:08,629 --> 00:12:09,910 379 00:12:09,910 --> 00:12:12,629 380 00:12:12,629 --> 00:12:15,110 381 00:12:15,110 --> 00:12:17,430 382 00:12:17,430 --> 00:12:17,440 383 00:12:17,440 --> 00:12:18,790 384 00:12:18,790 --> 00:12:20,389 385 00:12:20,389 --> 00:12:20,399 386 00:12:20,399 --> 00:12:23,350 387 00:12:23,350 --> 00:12:23,360 388 00:12:23,360 --> 00:12:25,829 389 00:12:25,829 --> 00:12:25,839 390 00:12:25,839 --> 00:12:26,870 391 00:12:26,870 --> 00:12:29,269 392 00:12:29,269 --> 00:12:30,790 393 00:12:30,790 --> 00:12:33,350 394 00:12:33,350 --> 00:12:35,350 395 00:12:35,350 --> 00:12:38,150 396 00:12:38,150 --> 00:12:39,750 397 00:12:39,750 --> 00:12:41,750 398 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--> 00:13:41,910 428 00:13:41,910 --> 00:13:43,670 429 00:13:43,670 --> 00:13:45,350 430 00:13:45,350 --> 00:13:47,430 431 00:13:47,430 --> 00:13:49,829 432 00:13:49,829 --> 00:13:51,670 433 00:13:51,670 --> 00:13:53,829 434 00:13:53,829 --> 00:13:55,110 435 00:13:55,110 --> 00:13:56,790 436 00:13:56,790 --> 00:13:58,790 437 00:13:58,790 --> 00:14:01,990 438 00:14:01,990 --> 00:14:03,750 439 00:14:03,750 --> 00:14:05,430 440 00:14:05,430 --> 00:14:07,990 441 00:14:07,990 --> 00:14:10,949 442 00:14:10,949 --> 00:14:10,959 443 00:14:10,959 --> 00:14:11,910 444 00:14:11,910 --> 00:14:14,389 445 00:14:14,389 --> 00:14:15,829 446 00:14:15,829 --> 00:14:19,590 447 00:14:19,590 --> 00:14:21,269 448 00:14:21,269 --> 00:14:23,110 449 00:14:23,110 --> 00:14:24,629 450 00:14:24,629 --> 00:14:26,870 451 00:14:26,870 --> 00:14:32,710 452 00:14:32,710 --> 00:14:33,990 453 00:14:33,990 --> 00:14:36,389 454 00:14:36,389 --> 00:14:38,629 455 00:14:38,629 --> 00:14:39,990 456 00:14:39,990 --> 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486 00:15:44,230 --> 00:15:45,910 487 00:15:45,910 --> 00:15:48,629 488 00:15:48,629 --> 00:15:51,189 489 00:15:51,189 --> 00:15:53,829 490 00:15:53,829 --> 00:15:56,069 491 00:15:56,069 --> 00:15:58,790 492 00:15:58,790 --> 00:16:00,949 493 00:16:00,949 --> 00:16:02,790 494 00:16:02,790 --> 00:16:02,800 495 00:16:02,800 --> 00:16:06,829 496 00:16:06,829 --> 00:16:10,710 497 00:16:10,710 --> 00:16:12,150 498 00:16:12,150 --> 00:16:13,590 499 00:16:13,590 --> 00:16:16,310 500 00:16:16,310 --> 00:16:20,150 501 00:16:20,150 --> 00:16:21,509 502 00:16:21,509 --> 00:16:23,990 503 00:16:23,990 --> 00:16:25,670 504 00:16:25,670 --> 00:16:28,629 505 00:16:28,629 --> 00:16:31,910 506 00:16:31,910 --> 00:16:31,920 507 00:16:31,920 --> 00:16:34,550 508 00:16:34,550 --> 00:16:38,069 509 00:16:38,069 --> 00:16:40,790 510 00:16:40,790 --> 00:16:42,550 511 00:16:42,550 --> 00:16:44,710 512 00:16:44,710 --> 00:16:46,870 513 00:16:46,870 --> 00:16:48,870 514 00:16:48,870 --> 00:16:52,230 515 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--> 00:17:55,909 545 00:17:55,909 --> 00:17:57,270 546 00:17:57,270 --> 00:18:01,110 547 00:18:01,110 --> 00:18:01,120 548 00:18:01,120 --> 00:18:02,150 549 00:18:02,150 --> 00:18:03,990 550 00:18:03,990 --> 00:18:05,430 551 00:18:05,430 --> 00:18:07,669 552 00:18:07,669 --> 00:18:12,150 553 00:18:12,150 --> 00:18:14,470 554 00:18:14,470 --> 00:18:14,480 555 00:18:14,480 --> 00:18:15,750 556 00:18:15,750 --> 00:18:18,630 557 00:18:18,630 --> 00:18:19,909 558 00:18:19,909 --> 00:18:21,270 559 00:18:21,270 --> 00:18:21,280 560 00:18:21,280 --> 00:18:22,870 561 00:18:22,870 --> 00:18:24,630 562 00:18:24,630 --> 00:18:25,510 563 00:18:25,510 --> 00:18:31,110 564 00:18:31,110 --> 00:18:32,320 565 00:18:32,320 --> 00:18:32,330 566 00:18:32,330 --> 00:18:35,350 567 00:18:35,350 --> 00:18:38,230 568 00:18:38,230 --> 00:18:39,430 569 00:18:39,430 --> 00:18:41,830 570 00:18:41,830 --> 00:18:44,390 571 00:18:44,390 --> 00:18:46,230 572 00:18:46,230 --> 00:18:48,630 573 00:18:48,630 --> 00:18:50,390 574 00:18:50,390 --> 00:18:52,390 575 00:18:52,390 --> 00:18:52,400 576 00:18:52,400 --> 00:18:53,750 577 00:18:53,750 --> 00:18:55,669 578 00:18:55,669 --> 00:18:57,990 579 00:18:57,990 --> 00:18:59,750 580 00:18:59,750 --> 00:19:01,750 581 00:19:01,750 --> 00:19:03,669 582 00:19:03,669 --> 00:19:05,669 583 00:19:05,669 --> 00:19:07,430 584 00:19:07,430 --> 00:19:09,750 585 00:19:09,750 --> 00:19:09,760 586 00:19:09,760 --> 00:19:11,190 587 00:19:11,190 --> 00:19:12,950 588 00:19:12,950 --> 00:19:14,630 589 00:19:14,630 --> 00:19:16,870 590 00:19:16,870 --> 00:19:20,789 591 00:19:20,789 --> 00:19:23,590 592 00:19:23,590 --> 00:19:25,510 593 00:19:25,510 --> 00:19:27,110 594 00:19:27,110 --> 00:19:29,510 595 00:19:29,510 --> 00:19:31,750 596 00:19:31,750 --> 00:19:34,310 597 00:19:34,310 --> 00:19:35,909 598 00:19:35,909 --> 00:19:41,190 599 00:19:41,190 --> 00:19:43,110 600 00:19:43,110 --> 00:19:45,110 601 00:19:45,110 --> 00:19:46,789 602 00:19:46,789 --> 00:19:47,909 603 00:19:47,909 --> 00:19:50,230 604 00:19:50,230 --> 00:19:53,029 605 00:19:53,029 --> 00:19:53,039 606 00:19:53,039 --> 00:19:54,070 607 00:19:54,070 --> 00:19:57,190 608 00:19:57,190 --> 00:19:59,270 609 00:19:59,270 --> 00:20:01,029 610 00:20:01,029 --> 00:20:03,430 611 00:20:03,430 --> 00:20:04,870 612 00:20:04,870 --> 00:20:06,390 613 00:20:06,390 --> 00:20:07,990 614 00:20:07,990 --> 00:20:10,630 615 00:20:10,630 --> 00:20:10,640 616 00:20:10,640 --> 00:20:11,510 617 00:20:11,510 --> 00:20:13,590 618 00:20:13,590 --> 00:20:13,600 619 00:20:13,600 --> 00:20:17,190 620 00:20:17,190 --> 00:20:22,870 621 00:20:22,870 --> 00:20:25,830 622 00:20:25,830 --> 00:20:28,230 623 00:20:28,230 --> 00:20:31,190 624 00:20:31,190 --> 00:20:32,549 625 00:20:32,549 --> 00:20:34,470 626 00:20:34,470 --> 00:20:36,950 627 00:20:36,950 --> 00:20:36,960 628 00:20:36,960 --> 00:20:42,470 629 00:20:42,470 --> 00:20:45,830 630 00:20:45,830 --> 00:20:45,840 631 00:20:45,840 --> 00:20:47,270 632 00:20:47,270 --> 00:20:48,710 633 00:20:48,710 --> 00:20:48,720 634 00:20:48,720 --> 00:20:49,590 635 00:20:49,590 --> 00:20:52,070 636 00:20:52,070 --> 00:20:52,080 637 00:20:52,080 --> 00:20:55,029 638 00:20:55,029 --> 00:20:59,430 639 00:20:59,430 --> 00:21:02,630 640 00:21:02,630 --> 00:21:03,909 641 00:21:03,909 --> 00:21:03,919 642 00:21:03,919 --> 00:21:04,710 643 00:21:04,710 --> 00:21:08,149 644 00:21:08,149 --> 00:21:12,630 645 00:21:12,630 --> 00:21:17,669 646 00:21:17,669 --> 00:21:19,190 647 00:21:19,190 --> 00:21:19,200 648 00:21:19,200 --> 00:21:19,909 649 00:21:19,909 --> 00:21:21,350 650 00:21:21,350 --> 00:21:23,110 651 00:21:23,110 --> 00:21:27,830 652 00:21:27,830 --> 00:21:27,840 653 00:21:27,840 --> 00:21:28,789 654 00:21:28,789 --> 00:21:30,390 655 00:21:30,390 --> 00:21:33,669 656 00:21:33,669 --> 00:21:36,310 657 00:21:36,310 --> 00:21:39,110 658 00:21:39,110 --> 00:21:41,110 659 00:21:41,110 --> 00:21:41,120 660 00:21:41,120 --> 00:21:44,390 661 00:21:44,390 --> 00:21:46,070 662 00:21:46,070 --> 00:21:48,630 663 00:21:48,630 --> 00:21:50,789 664 00:21:50,789 --> 00:21:52,070 665 00:21:52,070 --> 00:21:55,270 666 00:21:55,270 --> 00:21:56,310 667 00:21:56,310 --> 00:21:57,830 668 00:21:57,830 --> 00:21:59,270 669 00:21:59,270 --> 00:21:59,280 670 00:21:59,280 --> 00:22:00,789 671 00:22:00,789 --> 00:22:02,470 672 00:22:02,470 --> 00:22:04,870 673 00:22:04,870 --> 00:22:04,880 674 00:22:04,880 --> 00:22:05,250 675 00:22:05,250 --> 00:22:05,260 676 00:22:05,260 --> 00:22:07,990 677 00:22:07,990 --> 00:22:09,190 678 00:22:09,190 --> 00:22:10,870 679 00:22:10,870 --> 00:22:13,669 680 00:22:13,669 --> 00:22:14,870 681 00:22:14,870 --> 00:22:16,310 682 00:22:16,310 --> 00:22:18,149 683 00:22:18,149 --> 00:22:19,830 684 00:22:19,830 --> 00:22:21,750 685 00:22:21,750 --> 00:22:21,760 686 00:22:21,760 --> 00:22:23,669 687 00:22:23,669 --> 00:22:25,430 688 00:22:25,430 --> 00:22:31,669 689 00:22:31,669 --> 00:22:31,679 690 00:22:31,679 --> 00:22:32,549 691 00:22:32,549 --> 00:22:35,029 692 00:22:35,029 --> 00:22:37,430 693 00:22:37,430 --> 00:22:39,430 694 00:22:39,430 --> 00:22:41,110 695 00:22:41,110 --> 00:22:43,270 696 00:22:43,270 --> 00:22:45,430 697 00:22:45,430 --> 00:22:47,590 698 00:22:47,590 --> 00:22:50,390 699 00:22:50,390 --> 00:22:50,400 700 00:22:50,400 --> 00:22:51,270 701 00:22:51,270 --> 00:22:51,280 702 00:22:51,280 --> 00:22:52,230 703 00:22:52,230 --> 00:22:54,710 704 00:22:54,710 --> 00:22:57,350 705 00:22:57,350 --> 00:22:59,669 706 00:22:59,669 --> 00:23:00,789 707 00:23:00,789 --> 00:23:02,390 708 00:23:02,390 --> 00:23:05,029 709 00:23:05,029 --> 00:23:05,039 710 00:23:05,039 --> 00:23:06,070 711 00:23:06,070 --> 00:23:06,080 712 00:23:06,080 --> 00:23:06,870 713 00:23:06,870 --> 00:23:09,510 714 00:23:09,510 --> 00:23:11,750 715 00:23:11,750 --> 00:23:13,590 716 00:23:13,590 --> 00:23:16,310 717 00:23:16,310 --> 00:23:18,070 718 00:23:18,070 --> 00:23:19,909 719 00:23:19,909 --> 00:23:24,870 720 00:23:24,870 --> 00:23:28,230 721 00:23:28,230 --> 00:23:30,710 722 00:23:30,710 --> 00:23:34,830 723 00:23:34,830 --> 00:23:39,510 724 00:23:39,510 --> 00:23:41,269 725 00:23:41,269 --> 00:23:44,310 726 00:23:44,310 --> 00:23:48,549 727 00:23:48,549 --> 00:23:50,310 728 00:23:50,310 --> 00:23:52,470 729 00:23:52,470 --> 00:23:52,480 730 00:23:52,480 --> 00:23:54,789 731 00:23:54,789 --> 00:23:56,710 732 00:23:56,710 --> 00:23:58,950 733 00:23:58,950 --> 00:24:01,590 734 00:24:01,590 --> 00:24:03,029 735 00:24:03,029 --> 00:24:04,630 736 00:24:04,630 --> 00:24:06,390 737 00:24:06,390 --> 00:24:11,029 738 00:24:11,029 --> 00:24:14,470 739 00:24:14,470 --> 00:24:17,190 740 00:24:17,190 --> 00:24:18,470 741 00:24:18,470 --> 00:24:21,830 742 00:24:21,830 --> 00:24:23,990 743 00:24:23,990 --> 00:24:28,070 744 00:24:28,070 --> 00:24:31,350 745 00:24:31,350 --> 00:24:35,909 746 00:24:35,909 --> 00:24:35,919 747 00:24:35,919 --> 00:24:37,269 748 00:24:37,269 --> 00:24:37,279 749 00:24:37,279 --> 00:24:38,950 750 00:24:38,950 --> 00:24:38,960 751 00:24:38,960 --> 00:24:41,029 752 00:24:41,029 --> 00:24:45,430 753 00:24:45,430 --> 00:24:48,070 754 00:24:48,070 --> 00:24:50,549 755 00:24:50,549 --> 00:24:52,310 756 00:24:52,310 --> 00:24:54,870 757 00:24:54,870 --> 00:24:56,630 758 00:24:56,630 --> 00:24:58,390 759 00:24:58,390 --> 00:25:00,789 760 00:25:00,789 --> 00:25:02,470 761 00:25:02,470 --> 00:25:04,390 762 00:25:04,390 --> 00:25:07,269 763 00:25:07,269 --> 00:25:09,830 764 00:25:09,830 --> 00:25:11,909 765 00:25:11,909 --> 00:25:14,230 766 00:25:14,230 --> 00:25:15,750 767 00:25:15,750 --> 00:25:16,789 768 00:25:16,789 --> 00:25:18,230 769 00:25:18,230 --> 00:25:19,830 770 00:25:19,830 --> 00:25:21,990 771 00:25:21,990 --> 00:25:23,990 772 00:25:23,990 --> 00:25:32,070 773 00:25:32,070 --> 00:25:35,269 774 00:25:35,269 --> 00:25:37,830 775 00:25:37,830 --> 00:25:37,840 776 00:25:37,840 --> 00:25:38,789 777 00:25:38,789 --> 00:25:41,669 778 00:25:41,669 --> 00:25:43,750 779 00:25:43,750 --> 00:25:45,430 780 00:25:45,430 --> 00:25:46,549 781 00:25:46,549 --> 00:25:48,630 782 00:25:48,630 --> 00:25:50,789 783 00:25:50,789 --> 00:25:53,750 784 00:25:53,750 --> 00:25:55,430 785 00:25:55,430 --> 00:25:58,230 786 00:25:58,230 --> 00:25:59,750 787 00:25:59,750 --> 00:25:59,760 788 00:25:59,760 --> 00:26:00,789 789 00:26:00,789 --> 00:26:02,470 790 00:26:02,470 --> 00:26:04,310 791 00:26:04,310 --> 00:26:07,110 792 00:26:07,110 --> 00:26:08,950 793 00:26:08,950 --> 00:26:10,710 794 00:26:10,710 --> 00:26:12,710 795 00:26:12,710 --> 00:26:14,230 796 00:26:14,230 --> 00:26:15,990 797 00:26:15,990 --> 00:26:17,990 798 00:26:17,990 --> 00:26:19,510 799 00:26:19,510 --> 00:26:19,520 800 00:26:19,520 --> 00:26:22,710 801 00:26:22,710 --> 00:26:25,190 802 00:26:25,190 --> 00:26:30,789 803 00:26:30,789 --> 00:26:32,789 804 00:26:32,789 --> 00:26:34,310 805 00:26:34,310 --> 00:26:34,320 806 00:26:34,320 --> 00:26:35,190 807 00:26:35,190 --> 00:26:36,390 808 00:26:36,390 --> 00:26:38,789 809 00:26:38,789 --> 00:26:41,110 810 00:26:41,110 --> 00:26:41,120 811 00:26:41,120 --> 00:26:41,909 812 00:26:41,909 --> 00:26:45,350 813 00:26:45,350 --> 00:26:47,909 814 00:26:47,909 --> 00:26:49,430 815 00:26:49,430 --> 00:26:50,390 816 00:26:50,390 --> 00:26:56,230 817 00:26:56,230 --> 00:26:57,909 818 00:26:57,909 --> 00:26:57,919 819 00:26:57,919 --> 00:26:58,789 820 00:26:58,789 --> 00:27:00,549 821 00:27:00,549 --> 00:27:02,310 822 00:27:02,310 --> 00:27:06,070 823 00:27:06,070 --> 00:27:09,029 824 00:27:09,029 --> 00:27:11,669 825 00:27:11,669 --> 00:27:13,110 826 00:27:13,110 --> 00:27:15,269 827 00:27:15,269 --> 00:27:17,750 828 00:27:17,750 --> 00:27:19,590 829 00:27:19,590 --> 00:27:21,430 830 00:27:21,430 --> 00:27:23,669 831 00:27:23,669 --> 00:27:26,630 832 00:27:26,630 --> 00:27:28,149 833 00:27:28,149 --> 00:27:29,510 834 00:27:29,510 --> 00:27:30,789 835 00:27:30,789 --> 00:27:33,190 836 00:27:33,190 --> 00:27:36,950 837 00:27:36,950 --> 00:27:38,870 838 00:27:38,870 --> 00:27:41,269 839 00:27:41,269 --> 00:27:43,430 840 00:27:43,430 --> 00:27:45,350 841 00:27:45,350 --> 00:27:47,510 842 00:27:47,510 --> 00:27:50,630 843 00:27:50,630 --> 00:27:54,870 844 00:27:54,870 --> 00:27:57,190 845 00:27:57,190 --> 00:28:00,310 846 00:28:00,310 --> 00:28:02,149 847 00:28:02,149 --> 00:28:04,070 848 00:28:04,070 --> 00:28:06,230 849 00:28:06,230 --> 00:28:07,269 850 00:28:07,269 --> 00:28:09,029 851 00:28:09,029 --> 00:28:10,789 852 00:28:10,789 --> 00:28:10,799 853 00:28:10,799 --> 00:28:13,990 854 00:28:13,990 --> 00:28:14,000 855 00:28:14,000 --> 00:28:14,830 856 00:28:14,830 --> 00:28:18,389 857 00:28:18,389 --> 00:28:20,789 858 00:28:20,789 --> 00:28:22,870 859 00:28:22,870 --> 00:28:22,880 860 00:28:22,880 --> 00:28:23,990 861 00:28:23,990 --> 00:28:25,669 862 00:28:25,669 --> 00:28:27,830 863 00:28:27,830 --> 00:28:30,950 864 00:28:30,950 --> 00:28:32,870 865 00:28:32,870 --> 00:28:34,470 866 00:28:34,470 --> 00:28:35,990 867 00:28:35,990 --> 00:28:38,470 868 00:28:38,470 --> 00:28:39,990 869 00:28:39,990 --> 00:28:41,750 870 00:28:41,750 --> 00:28:45,750 871 00:28:45,750 --> 00:28:49,350 872 00:28:49,350 --> 00:28:49,360 873 00:28:49,360 --> 00:28:50,310 874 00:28:50,310 --> 00:28:53,190 875 00:28:53,190 --> 00:28:55,110 876 00:28:55,110 --> 00:28:56,310 877 00:28:56,310 --> 00:28:58,230 878 00:28:58,230 --> 00:28:59,590 879 00:28:59,590 --> 00:29:02,310 880 00:29:02,310 --> 00:29:04,230 881 00:29:04,230 --> 00:29:05,750 882 00:29:05,750 --> 00:29:10,470 883 00:29:10,470 --> 00:29:12,549 884 00:29:12,549 --> 00:29:12,559 885 00:29:12,559 --> 00:29:13,750 886 00:29:13,750 --> 00:29:15,990 887 00:29:15,990 --> 00:29:16,000 888 00:29:16,000 --> 00:29:18,549 889 00:29:18,549 --> 00:29:21,510 890 00:29:21,510 --> 00:29:22,630 891 00:29:22,630 --> 00:29:24,389 892 00:29:24,389 --> 00:29:26,070 893 00:29:26,070 --> 00:29:26,080 894 00:29:26,080 --> 00:29:26,710 895 00:29:26,710 --> 00:29:28,630 896 00:29:28,630 --> 00:29:30,070 897 00:29:30,070 --> 00:29:34,310 898 00:29:34,310 --> 00:29:34,320 899 00:29:34,320 --> 00:29:35,350 900 00:29:35,350 --> 00:29:38,389 901 00:29:38,389 --> 00:29:41,110 902 00:29:41,110 --> 00:29:43,510 903 00:29:43,510 --> 00:29:44,389 904 00:29:44,389 --> 00:29:44,399 905 00:29:44,399 --> 00:29:45,350 906 00:29:45,350 --> 00:29:45,360 907 00:29:45,360 --> 00:29:46,230 908 00:29:46,230 --> 00:29:49,430 909 00:29:49,430 --> 00:29:52,549 910 00:29:52,549 --> 00:29:54,630 911 00:29:54,630 --> 00:29:56,630 912 00:29:56,630 --> 00:29:56,640 913 00:29:56,640 --> 00:29:57,590 914 00:29:57,590 --> 00:29:59,669 915 00:29:59,669 --> 00:30:00,950 916 00:30:00,950 --> 00:30:03,669 917 00:30:03,669 --> 00:30:05,909 918 00:30:05,909 --> 00:30:05,919 919 00:30:05,919 --> 00:30:07,029 920 00:30:07,029 --> 00:30:08,950 921 00:30:08,950 --> 00:30:11,350 922 00:30:11,350 --> 00:30:13,590 923 00:30:13,590 --> 00:30:15,750 924 00:30:15,750 --> 00:30:17,350 925 00:30:17,350 --> 00:30:19,430 926 00:30:19,430 --> 00:30:23,669 927 00:30:23,669 --> 00:30:25,909 928 00:30:25,909 --> 00:30:27,909 929 00:30:27,909 --> 00:30:30,230 930 00:30:30,230 --> 00:30:31,590 931 00:30:31,590 --> 00:30:33,510 932 00:30:33,510 --> 00:30:35,190 933 00:30:35,190 --> 00:30:36,870 934 00:30:36,870 --> 00:30:41,430 935 00:30:41,430 --> 00:30:44,149 936 00:30:44,149 --> 00:30:46,789 937 00:30:46,789 --> 00:30:48,870 938 00:30:48,870 --> 00:30:52,470 939 00:30:52,470 --> 00:30:54,389 940 00:30:54,389 --> 00:30:56,870 941 00:30:56,870 --> 00:30:58,549 942 00:30:58,549 --> 00:31:01,509 943 00:31:01,509 --> 00:31:04,710 944 00:31:04,710 --> 00:31:11,430 945 00:31:11,430 --> 00:31:11,440 946 00:31:11,440 --> 00:31:12,470 947 00:31:12,470 --> 00:31:14,950 948 00:31:14,950 --> 00:31:16,630 949 00:31:16,630 --> 00:31:19,110 950 00:31:19,110 --> 00:31:20,710 951 00:31:20,710 --> 00:31:22,070 952 00:31:22,070 --> 00:31:25,669 953 00:31:25,669 --> 00:31:28,789 954 00:31:28,789 --> 00:31:30,630 955 00:31:30,630 --> 00:31:33,190 956 00:31:33,190 --> 00:31:35,590 957 00:31:35,590 --> 00:31:38,549 958 00:31:38,549 --> 00:31:41,430 959 00:31:41,430 --> 00:31:43,909 960 00:31:43,909 --> 00:31:47,430 961 00:31:47,430 --> 00:31:47,440 962 00:31:47,440 --> 00:31:51,509 963 00:31:51,509 --> 00:31:54,389 964 00:31:54,389 --> 00:31:56,470 965 00:31:56,470 --> 00:31:58,630 966 00:31:58,630 --> 00:32:02,549 967 00:32:02,549 --> 00:32:03,909 968 00:32:03,909 --> 00:32:05,269 969 00:32:05,269 --> 00:32:05,279 970 00:32:05,279 --> 00:32:07,750 971 00:32:07,750 --> 00:32:07,760 972 00:32:07,760 --> 00:32:08,549 973 00:32:08,549 --> 00:32:10,230 974 00:32:10,230 --> 00:32:10,240 975 00:32:10,240 --> 00:32:11,430 976 00:32:11,430 --> 00:32:13,190 977 00:32:13,190 --> 00:32:16,549 978 00:32:16,549 --> 00:32:20,549 979 00:32:20,549 --> 00:32:26,630 980 00:32:26,630 --> 00:32:28,710 981 00:32:28,710 --> 00:32:30,549 982 00:32:30,549 --> 00:32:32,230 983 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01:10:37,110 --> 01:10:38,630 2210 01:10:38,630 --> 01:10:40,630 2211 01:10:40,630 --> 01:10:43,990 2212 01:10:43,990 --> 01:10:45,510 2213 01:10:45,510 --> 01:10:47,270 2214 01:10:47,270 --> 01:10:50,229 2215 01:10:50,229 --> 01:10:52,470 2216 01:10:52,470 --> 01:10:54,709 2217 01:10:54,709 --> 01:10:54,719 2218 01:10:54,719 --> 01:10:57,590 2219 01:10:57,590 --> 01:10:57,600 2220 01:10:57,600 --> 01:10:59,510 2221 01:10:59,510 --> 01:11:02,229 2222 01:11:02,229 --> 01:11:04,709 2223 01:11:04,709 --> 01:11:06,709 2224 01:11:06,709 --> 01:11:08,790 2225 01:11:08,790 --> 01:11:10,470 2226 01:11:10,470 --> 01:11:14,229 2227 01:11:14,229 --> 01:11:14,239 2228 01:11:14,239 --> 01:11:16,390 2229 01:11:16,390 --> 01:11:18,229 2230 01:11:18,229 --> 01:11:20,790 2231 01:11:20,790 --> 01:11:22,709 2232 01:11:22,709 --> 01:11:25,990 2233 01:11:25,990 --> 01:11:26,000 2234 01:11:26,000 --> 01:11:27,030 2235 01:11:27,030 --> 01:11:30,070 2236 01:11:30,070 --> 01:11:32,709 2237 01:11:32,709 --> 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01:12:19,830 --> 01:12:21,990 2267 01:12:21,990 --> 01:12:23,990 2268 01:12:23,990 --> 01:12:24,000 2269 01:12:24,000 --> 01:12:25,270 2270 01:12:25,270 --> 01:12:27,590 2271 01:12:27,590 --> 01:12:29,830 2272 01:12:29,830 --> 01:12:31,590 2273 01:12:31,590 --> 01:12:33,030 2274 01:12:33,030 --> 01:12:33,040 2275 01:12:33,040 --> 01:12:34,310 2276 01:12:34,310 --> 01:12:34,320 2277 01:12:34,320 --> 01:12:35,189 2278 01:12:35,189 --> 01:12:37,110 2279 01:12:37,110 --> 01:12:39,590 2280 01:12:39,590 --> 01:12:41,669 2281 01:12:41,669 --> 01:12:43,669 2282 01:12:43,669 --> 01:12:45,030 2283 01:12:45,030 --> 01:12:47,430 2284 01:12:47,430 --> 01:12:48,870 2285 01:12:48,870 --> 01:12:51,350 2286 01:12:51,350 --> 01:12:52,870 2287 01:12:52,870 --> 01:12:54,550 2288 01:12:54,550 --> 01:12:56,470 2289 01:12:56,470 --> 01:12:58,390 2290 01:12:58,390 --> 01:13:00,790 2291 01:13:00,790 --> 01:13:03,189 2292 01:13:03,189 --> 01:13:06,229 2293 01:13:06,229 --> 01:13:09,110 2294 01:13:09,110 --> 01:13:11,270 2295 01:13:11,270 --> 01:13:14,870 2296 01:13:14,870 --> 01:13:16,070 2297 01:13:16,070 --> 01:13:17,510 2298 01:13:17,510 --> 01:13:18,950 2299 01:13:18,950 --> 01:13:20,390 2300 01:13:20,390 --> 01:13:23,990 2301 01:13:23,990 --> 01:13:24,000 2302 01:13:24,000 --> 01:13:27,189 2303 01:13:27,189 --> 01:13:27,199 2304 01:13:27,199 --> 01:13:28,229 2305 01:13:28,229 --> 01:13:30,390 2306 01:13:30,390 --> 01:13:34,709 2307 01:13:34,709 --> 01:13:38,630 2308 01:13:38,630 --> 01:13:42,790 2309 01:13:42,790 --> 01:13:42,800 2310 01:13:42,800 --> 01:13:45,110 2311 01:13:45,110 --> 01:13:49,910 2312 01:13:49,910 --> 01:13:52,630 2313 01:13:52,630 --> 01:13:54,149 2314 01:13:54,149 --> 01:13:56,550 2315 01:13:56,550 --> 01:14:01,030 2316 01:14:01,030 --> 01:14:02,950 2317 01:14:02,950 --> 01:14:09,430 2318 01:14:09,430 --> 01:14:10,709 2319 01:14:10,709 --> 01:14:11,830 2320 01:14:11,830 --> 01:14:13,990 2321 01:14:13,990 --> 01:14:16,709 2322 01:14:16,709 --> 01:14:16,719 2323 01:14:16,719 --> 01:14:17,510 2324 01:14:17,510 --> 01:14:19,590 2325 01:14:19,590 --> 01:14:19,600 2326 01:14:19,600 --> 01:14:21,030 2327 01:14:21,030 --> 01:14:22,470 2328 01:14:22,470 --> 01:14:24,310 2329 01:14:24,310 --> 01:14:24,320 2330 01:14:24,320 --> 01:14:25,189 2331 01:14:25,189 --> 01:14:28,390 2332 01:14:28,390 --> 01:14:30,229 2333 01:14:30,229 --> 01:14:32,149 2334 01:14:32,149 --> 01:14:33,750 2335 01:14:33,750 --> 01:14:33,760 2336 01:14:33,760 --> 01:14:36,229 2337 01:14:36,229 --> 01:14:37,830 2338 01:14:37,830 --> 01:14:40,790 2339 01:14:40,790 --> 01:14:43,510 2340 01:14:43,510 --> 01:14:46,870 2341 01:14:46,870 --> 01:14:49,350 2342 01:14:49,350 --> 01:14:52,310 2343 01:14:52,310 --> 01:14:54,950 2344 01:14:54,950 --> 01:14:57,750 2345 01:14:57,750 --> 01:14:57,760 2346 01:14:57,760 --> 01:15:00,709 2347 01:15:00,709 --> 01:15:02,390 2348 01:15:02,390 --> 01:15:05,350 2349 01:15:05,350 --> 01:15:08,630 2350 01:15:08,630 --> 01:15:08,640 2351 01:15:08,640 --> 01:15:09,510 2352 01:15:09,510 --> 01:15:11,830 2353 01:15:11,830 --> 01:15:14,229 2354 01:15:14,229 --> 01:15:19,510 2355 01:15:19,510 --> 01:15:22,070 2356 01:15:22,070 --> 01:15:24,630 2357 01:15:24,630 --> 01:15:26,229 2358 01:15:26,229 --> 01:15:29,110 2359 01:15:29,110 --> 01:15:30,630 2360 01:15:30,630 --> 01:15:32,709 2361 01:15:32,709 --> 01:15:34,950 2362 01:15:34,950 --> 01:15:36,709 2363 01:15:36,709 --> 01:15:39,590 2364 01:15:39,590 --> 01:15:41,350 2365 01:15:41,350 --> 01:15:43,990 2366 01:15:43,990 --> 01:15:48,070 2367 01:15:48,070 --> 01:15:49,110 2368 01:15:49,110 --> 01:15:51,750 2369 01:15:51,750 --> 01:15:53,910 2370 01:15:53,910 --> 01:15:53,920 2371 01:15:53,920 --> 01:15:55,669 2372 01:15:55,669 --> 01:15:57,350 2373 01:15:57,350 --> 01:15:59,110 2374 01:15:59,110 --> 01:16:02,149 2375 01:16:02,149 --> 01:16:03,430 2376 01:16:03,430 --> 01:16:03,440 2377 01:16:03,440 --> 01:16:04,630 2378 01:16:04,630 --> 01:16:06,630 2379 01:16:06,630 --> 01:16:08,470 2380 01:16:08,470 --> 01:16:08,480 2381 01:16:08,480 --> 01:16:09,750 2382 01:16:09,750 --> 01:16:11,030 2383 01:16:11,030 --> 01:16:12,950 2384 01:16:12,950 --> 01:16:14,550 2385 01:16:14,550 --> 01:16:15,990 2386 01:16:15,990 --> 01:16:16,000 2387 01:16:16,000 --> 01:16:19,590 2388 01:16:19,590 --> 01:16:19,600 2389 01:16:19,600 --> 01:16:20,950 2390 01:16:20,950 --> 01:16:35,830 2391 01:16:35,830 --> 01:16:35,840 2392 01:16:35,840 --> 01:16:37,920