Transcript of gr-l08 ========== _0:09_: Well, this is exciting. _0:10_: A whole new, a new, whole new place. _0:13_: Are you all. I'm not going to _0:14_: be galloping around the place, _0:16_: so I think it's really important that _0:18_: you can see me and see a screen so _0:21_: we adjust yourself as appropriate. _0:24_: This is lecture 8 and is basically going _0:27_: to be the last of the of of the the, _0:31_: the, the maths bits. _0:33_: We're going to finish off Part 3 today _0:36_: and move on to physics next time. _0:39_: Hooray. _0:40_: And now there's quite a lot to get _0:42_: through and this is quite an intricate one. _0:44_: I don't think it's terribly deep, _0:46_: but it is quite intricate, _0:47_: so I propose to get on with _0:50_: things without too much I do. _0:54_: I can't think of any announcements, _0:56_: but are there any questions to do with? _0:58_: Stuff. _1:01_: I thought they were in here from now on. _1:04_: To have left other room behind and can you _1:08_: hear me OK at that at the back end there? _1:12_: No, I'm seeing thumbs up in a sort of _1:15_: middle I I should aim to project suitably. _1:18_: I think that I think this is _1:19_: actually a designed lecture theatre. _1:20_: So I think this will probably have _1:23_: substantially better acoustics _1:24_: than the rooms we've been in, _1:25_: than the room we've been in so far. _1:28_: Actually the poor astronomy too, _1:30_: because they've been going from room to _1:31_: room to room somebody with a days notice. _1:33_: So you have, you know, _1:35_: whatever the acoustics of, _1:37_: of OF446 or 466, it could have been worse. _1:42_: OK, where we got to last time? _1:45_: Was talking about. Quite often. _1:53_: We defined differentiation. _1:57_: And discovered that the. _2:02_: With this definition of differentiation, the. _2:08_: The metric tensor had the property that _2:10_: it's convenient derivative was zero, _2:12_: and I mentioned that partly _2:14_: because it's interesting, _2:16_: partly because it justifies the our _2:19_: ascription of the idea of the metric _2:23_: providing a length which we draw true _2:26_: for granted if that property that makes _2:28_: that a reasonable thing to do to to take _2:31_: the metric to be a definition of length, _2:33_: and also because working that out was a a _2:36_: useful way of using some of the mathematical. _2:38_: Technology we had built up up to that point. _2:43_: So the a couple of different payoffs, _2:45_: you're distinct payoffs for that? _2:50_: For that, now, the next thing _2:52_: we talk about is a crucial idea, _2:55_: the notion of geodesics. _2:57_: A geodesic, as we'll discover, _2:59_: is the next best is not the next best thing. _3:01_: It is what it is. _3:02_: A straight line is in a flat space, _3:04_: and the thing that most natural corresponds _3:07_: to a straight line in a curved space is _3:10_: we have to talk about what autism is. _3:12_: And to do that we have to 1st we _3:14_: have to go back to the idea of what _3:17_: a parallel transport was. _3:18_: And at what happens if you parallel _3:21_: transport a vector along a curve? _3:24_: So imagine those. _3:28_: Let's take first of all. _3:32_: A vector field which is. _3:34_: That's what's at each point in space. _3:37_: There is a vector. _3:38_: These both these solid arrows _3:41_: defined that there's there's a AV, _3:43_: let's say at each point in the space. _3:46_: Now let's have a curve. _3:48_: A curve there. _3:49_: And that curve will have a a a _3:52_: function Lambda of T or whatever it is. _3:56_: So as we advertise T, _3:58_: we move through the space along _3:59_: the path in a particular way, _4:01_: parameterized by the particular _4:02_: functional form of Lambda that we choose. _4:05_: Remember these things be a path, _4:06_: a set of points, _4:08_: and a curve at one of the most _4:10_: multiple possible ways you could _4:13_: parameterize that set of of points _4:15_: as a function of a parameter T. _4:18_: And as we learned at the beginning of, _4:20_: at the beginning of this part. _4:22_: If you have that structure. _4:25_: Then you can define a vector _4:29_: as the directional derivative. _4:31_: Or the derivative as you. _4:34_: As you vary the curve parameter, let's say T. _4:39_: So that you can define the _4:40_: notion of tangent vectors. _4:41_: And this is a curve where the have _4:45_: just tangent vectors which vary _4:47_: as the as the curve moves about. _4:50_: Now it's clear. _4:51_: But as you go along this curve. _4:56_: The vector field. Changes. _4:60_: Very obviously. _5:02_: And so, _5:03_: so these. _5:06_: Or or or. _5:09_: More specifically, _5:10_: if you parallel transport this _5:12_: initial vector along this curve, _5:14_: then it's then you you deviate from the _5:18_: direction that you you you you you start off. _5:22_: The curve, if you like, turns a corner. _5:24_: That curve bends. _5:26_: It bends in the sense that. And. _5:32_: Um, do I have a diagram of this? _5:39_: It bands in the sense that. _5:42_: If you had a curve. _5:45_: Like a little of that and you. _5:49_: Parallel transported _5:50_: along a curve like that. _5:59_: Could I lock the focus of that? _6:04_: What you focus. _6:08_: Which books are good? _6:10_: So this curve bends in the _6:13_: sense it deviates from the. The. _6:17_: Set of parallel transported digital _6:20_: vectors here with this curve doesn't, _6:23_: so we already have a sort of intrinsic _6:26_: notion of what a straight line is. _6:28_: Just from that picture, _6:29_: if what we're doing is we are _6:32_: parallel transporting this _6:34_: tangent vector along the curve, _6:37_: and it stays tangent to the _6:39_: curve in that nice straight _6:40_: line parallel transporting this _6:42_: tangent vector along the curve, _6:44_: it does not remain tangent to the curve. _6:48_: That curve bends in a in an _6:51_: entirely coordinate free way. _6:53_: It depends on our definition of the _6:54_: Korean derivative and that's and _6:56_: that's of the parallel transport, _6:57_: but it but given that it's a, _6:60_: it's a bending curve. _7:04_: And a curve which. _7:07_: Doesn't do that like this. _7:09_: It's a curve, which when you. _7:15_: And parallel transport to _7:17_: that curve along the curve. _7:19_: So that's the derivative of the _7:23_: that that that this tensor. _7:26_: Is the derivative of the. _7:29_: Field. Of. You. _7:36_: Along the. Direction of the curve _7:39_: if that C is parallel. Then that. _7:45_: Directional derivative will remain zero. _7:48_: That means a couple of goals to see PIN but. _7:52_: What I've written down there is _7:55_: the sort of mathematical version _7:57_: of this idea of the vector, _7:60_: not the parallel transport. _8:02_: The tangent vector being parallel _8:03_: transported in such a way that _8:05_: it remains a tangent vector. _8:08_: Right. No, that's very pretty. _8:13_: It it it's. Four symbols, _8:15_: and it means that, and I'm saying I'm _8:17_: telling you it means a huge amount, _8:18_: but it's not something you can very _8:20_: straightforwardly calculate with. _8:21_: So how do you calculate with that? _8:22_: How do you find a curve which _8:25_: satisfies that equation? _8:28_: And here we get to safely integrate that. _8:31_: That microphone is annoying me. _8:37_: But you know we have. _8:41_: Turning it down, OK. And. _8:46_: OK, so I'm going to have to refer to this, _8:50_: so don't make any index mistakes. _8:59_: We remember that you is equal _9:02_: to something like UJEJ. _9:05_: The usual fashion. So the. _9:12_: Just going to check. _9:16_: And I'm going to remind ourselves that this. _9:23_: Tensor. Remember that this nabla _9:25_: you is a tensor A11 tensor, _9:28_: in other words, something which takes. _9:31_: Are. Vector shaped argument. _9:35_: And one form shaped argument, _9:37_: but we write it in an odd way. _9:39_: So that the. _9:43_: So the vector. _9:47_: Argument. We rate down. _9:49_: And here for for notation like for _9:51_: reasons of notational convenience. _9:54_: There's nothing deep there, _9:55_: it's just handy. _9:57_: So that which means that this. _10:03_: Expression here nabla U. _10:07_: You is really just nabla you with. The. _10:16_: One of the. With the vector _10:20_: argument prefilled in. _10:21_: But since that's the argument to a tensor, _10:24_: it's linear in that argument, so nabla. _10:28_: You you will be equal to. _10:31_: Nabla. You KEK. You. _10:39_: Which that being linear in that argument, _10:42_: that pops out to be now you. OK. And? _10:46_: Nabla and remember he K you and remember _10:49_: the notation shortcut that rather than _10:53_: writing this double subscript here, _10:56_: we we we we end up writing that as you. _10:58_: Just. I think that's you, I said. _11:02_: Sorry, that's you. You K now blah. _11:07_: Key. You. Equals 0. _11:10_: So, so this is just a sequence of. _11:13_: There's just a bit of notational _11:15_: trickery happening here. _11:16_: There's nothing terribly deep. OK. _11:22_: But we have an expression for this. _11:24_: This expression here we we we, _11:26_: we, we, we, we saw what that was _11:29_: in the last lecture but one. _11:33_: To that expression there. _11:36_: And the danger? _11:36_: So she makes sure we get the equations right. _11:39_: It's going to be I. _11:44_: Yeah. Great, you. G Nabla, G. _11:49_: You will be equal to. Eugene GUI. _11:57_: J. The. Aye. OK. Just recalling the _12:05_: component version of the covenant _12:07_: derivative that we saw last time. _12:11_: And. That means we would be equal to _12:14_: recalling the expansion of that UG. _12:19_: Uh, you I comma. Gee. _12:26_: Plus UG. You. Key comma _12:36_: IGK. _12:38_: Equals 0. _12:41_: So again, we're just using the expression _12:44_: for this this set of components that _12:47_: were on last time, no time before last. _12:52_: No. And. Well, good. _12:55_: Well, haven't said any very _12:56_: much about the, the, the, the, _12:58_: the the curve that we're that this _12:60_: curve we're talking about here. _13:01_: We were rather that this curve here, _13:04_: but it'll be this curve here. _13:08_: Will be. Lambda T. For some, _13:13_: for some suitable universe suitable _13:16_: carefully some suitable curve Lambda. _13:20_: And what we learned before is _13:23_: that this tangent vector is. _13:27_: The operator. DDT that will end _13:29_: at the beginning of this part. _13:31_: That was our definition of vectors _13:34_: in this context. And so if we then. _13:41_: Which means that this this UG. _13:44_: The JTH component of that vector. _13:50_: Is going to be you applied to. The XG. That. _14:00_: The gradient of one of the of the. _14:05_: That's the basis. _14:08_: One form corresponding to _14:10_: the basis vectors without _14:11_: the component basis vectors. _14:14_: Which equals DXG by DT. _14:22_: Just the derivative of _14:24_: that component along the. _14:27_: So so so this is this is _14:30_: fairly directly saying. _14:32_: Given a curve. _14:36_: You know that, that, that, _14:37_: that, that line there, the. _14:39_: The of the fact is just how much that. _14:42_: The, the, the, the X or the Y _14:43_: or the whatever component varies _14:45_: as you move along that curve. _14:50_: And that means that looking at _14:52_: this other term, you I comma G. _14:56_: Is just D by DX J. And. _15:07_: DXI. ID T. _15:14_: And uh. That means. _15:21_: That. This expression here. Is. DX. _15:31_: JPITT. And. _15:41_: DX by DX. _15:45_: G. Yeah. DX I by DT plus gamma I JK. _15:57_: DX J by DT. We just completed _16:03_: the XK by DT equals 0. _16:08_: And that um. Combination. _16:14_: There is incredibly deep ODT. _16:17_: DX. I by DT plus gamma _16:25_: IGKEDXJ by DT DX K by DT equals 0. _16:33_: So we have turned this. _16:38_: Elegant, but rather. _16:40_: Impenetrable equation, _16:42_: which we jumped out from considering what _16:45_: the what a straight line consists of. _16:48_: We've turned that into a second order _16:52_: differential equation in the functions _16:54_: in the coordinate functions X of of T. _16:60_: And that's a second order _17:02_: of differential equation. _17:03_: So from the theory of 2nd _17:05_: order differential equations, _17:06_: you can discover that that _17:08_: will have a solution. _17:09_: And that solution is the the an _17:14_: expression for the path followed _17:16_: by that geodesic or by by the _17:19_: by our our path which which _17:21_: satisfies this property. _17:23_: In the coordinates X of TXI of T. _17:34_: I don't hear you worried faces _17:37_: particularly, but OK. Umm. _17:43_: And a bit bit bit bit a remark. _17:45_: I, I, I, I'd, I'd said that this curve _17:49_: Lambda was a suitable curve and it's not _17:53_: an arbitrary curve that will do that. _17:57_: Subset of curves which will form _18:00_: suitable solutions to that, _18:02_: but once you have a solution Lambda of T. _18:09_: If Lambda of T. And. _18:15_: If Lambda 2 is a geodesic then. _18:19_: That means that Lambda of a T + B. Is. _18:28_: It's very hard to write to that _18:31_: person's angle. And that is. _18:34_: Up and our parameter T which has that _18:37_: property is known as an affine parameter. _18:40_: And what that affine parameter _18:41_: is doing it well what we've seen _18:44_: that it is affine saying that _18:45_: this this set of rescaling of that _18:48_: parameter what that's that's. _18:51_: Telling you is that you can rescale and _18:55_: and shift the curve the parameters of _18:58_: your geodesics more or less at will. _19:02_: Which makes sense because if _19:04_: you measure time in seconds. _19:06_: And and and you have a a duty _19:09_: that goes through that that that _19:10_: describes the fall of a of a ball. _19:13_: You can also whatever that that _19:15_: that equation of motion is. _19:16_: You can also rescale it and talk about it _19:18_: not in in seconds since since midnight, _19:21_: but in ours since 2:00 o'clock for example. _19:24_: So you can change the, _19:25_: you can rescale the the the parameter, _19:28_: in this case time, _19:30_: and you can shift the origin of arbitrarily. _19:34_: And and that is and. _19:36_: And one way of seeing that well _19:38_: known we have think of talking about _19:40_: that is that affine parameters are _19:42_: defined so that motion looks simple. _19:43_: If you were to decide that. _19:46_: Part of the talk about seconds, _19:48_: I'm going to write down my geodesic _19:51_: equation in terms of second squared. _19:53_: You silly, _19:54_: because that would make the your _19:55_: duties a really complicated. _19:57_: Your expression for the parabola, _19:60_: it would make you the parameter _20:02_: rewritten in terms of of of _20:04_: second squared from midnight. _20:06_: It's going to be a mess. _20:08_: Motion looks simple in the when _20:12_: you're using the when you pick up a. _20:16_: A form for the that your geodesic which. _20:21_: It's not an affine parameter. _20:22_: I'm saying to go around circles here, _20:24_: but but there there's a. _20:26_: There are more upper stigmatic _20:28_: way of of saying about that, _20:30_: but the the point, _20:31_: the point of saying it is just to _20:34_: mention this word affine and to trying _20:37_: to link the that mathematical property, _20:40_: that of those are a family of _20:43_: solutions to the duties equation _20:46_: to something more more physical. _20:49_: Umm. _20:54_: That is what it will have to see, _20:56_: but for the moment about geodesics _20:58_: is that if anything we can add. _21:01_: Or. OK, then let's move on, _21:03_: because now we come to the as were the _21:06_: main event talking about coverture. Uhm. _21:11_: And I think it's important _21:12_: to have a clear idea of. _21:17_: OK, another parameter is the time coordinate, _21:19_: some inertial system. _21:20_: And remember I said by national _21:23_: system I meant as a system in which, _21:26_: well for example you jumping up and down _21:28_: a system in which Newton's laws work. _21:30_: A system in freefall is international _21:32_: system and then I think parameter, _21:35_: the parameter of a geodesic is _21:37_: a time parameter in in that and _21:39_: we'll come back to that notion _21:41_: of of that particular statement _21:43_: of this implicitly later on. _21:47_: Um given key points, _21:50_: we can divide duties equation _21:53_: as so the process of asking. _21:59_: Where does if I if I throw _22:00_: something in in a given space, _22:02_: where does it go that, _22:03_: that, that, that, that is? _22:06_: You're solving the duties equation _22:07_: to find an equation of motion. _22:09_: So the answer to the duties equation, _22:11_: the solution to the Nudestix equation, _22:13_: is essentially an equation of motion. _22:16_: Is the creation of a A line _22:18_: in your space that's the. _22:22_: Sort of vector version _22:23_: of the of the equation. _22:24_: That's simply the the component _22:26_: version of of the same equation _22:28_: with with with a a tangent vector _22:30_: which is parallel transported along. _22:36_: To remain being attention vector. Anyway. _22:41_: Moving on talking about. Coverture. _22:48_: I've drawn there. _22:51_: The surface of a sphere, _22:52_: for example the earth. _22:55_: And if you imagine starting at the equator. _22:59_: And pointing north. _23:02_: Your point north. _23:04_: What would have? _23:08_: And you you, you, you, _23:09_: you keep walking in a straight line, _23:11_: in other words along a geodesic. _23:13_: So a geodesic is, _23:15_: I think I said, this area. _23:17_: A geodesic is a straight _23:18_: line in Euclidean space, _23:20_: A geodesic is a straight line. _23:22_: In the conventional fashion it's with the _23:25_: with the signature of Euclidean space. _23:27_: A straight line is the shortest _23:29_: distance between two points. _23:29_: In Minkowski space, or something with _23:32_: the signature of special relativity, _23:34_: a straight line is the longest distance. _23:36_: June 2 points all of the alternative _23:38_: versions of going from HB in _23:40_: Minkowski space are shorter than the _23:42_: in the straight than the straight _23:44_: line and surface of a sphere. _23:46_: A straight line is a great circle. _23:48_: It's it's that that has the same _23:50_: signature as you clean space and _23:51_: so it's the shortest distance. _23:53_: So I started the equator, _23:54_: I point north and I walked NI. _23:57_: Just keep walking in a straight line and _23:59_: eventually I will get to the North Pole. _24:01_: And at that point, _24:03_: if I started at zero latitude _24:05_: at that point I'm pointing _24:07_: toward the 100 degree latitude. _24:11_: I then start walking sideways. _24:13_: And head down back down to the equator, _24:16_: still pointing at the original _24:18_: direction so I don't turn around. _24:20_: I end up back at the equator, _24:21_: this time pointing along the equator, _24:24_: and then walk backwards through 90 _24:26_: degrees and end up back where I started, _24:28_: but this time still pointing _24:30_: along the equator. _24:31_: So I haven't changed the direction _24:33_: I'm pointing at any point. _24:35_: And I've been walking in _24:37_: straight lines in each case, _24:38_: but of course when I get _24:39_: back to where I started, _24:41_: I'm pointing in a different direction. _24:44_: If the angular went through _24:45_: the the North Pole was smaller, _24:47_: then this deflection would be smaller, _24:50_: but it would still be still be reflection. _24:52_: In other words, going for a walk. _24:56_: And you're saying pointing the same _24:58_: direction allows me to pick up some _25:01_: information about the the curved surface. _25:03_: If it's the fact that the earth is _25:05_: curved that I can tell the story. _25:06_: I go up North Pole going to _25:07_: come down and back and clean, _25:09_: I have to go all the way to the North Pole. _25:10_: I could I could clearly do this in any _25:12_: but any any any circular circular route, _25:15_: but so, _25:16_: so the the deflection of this. _25:21_: This this vector. _25:22_: Through a circuit is telling us _25:25_: something about the curvature of. _25:28_: It's telling us something obviously _25:29_: telling something about the the _25:31_: curvature of that surface in a way _25:33_: which is completely independent of. _25:35_: Components. So we haven't talked _25:38_: about components or coordinates or _25:40_: anything like that at this point. _25:41_: So there's a, there's a, _25:43_: a geometrical. _25:45_: This is a geometrical thing we're _25:47_: picking up by by this process. _25:49_: So what we need to do now is find our way of. _25:53_: Capturing that intuition in a _25:55_: mathematical form to get some expression, _25:57_: some something we can calculate with that, _26:00_: we'll talk about the curvature. _26:02_: So that's what we're talking _26:04_: about of a space. _26:08_: So the way we do that is a rather intricate, _26:13_: but not fundamentally deep process. _26:17_: With this poor like you. _26:21_: So I'm going to set up a path _26:24_: to go around. Let's have two. _26:29_: Coordinates here. _26:31_: We'll call this first one. _26:34_: X Sigma and that's the, _26:37_: for example X versus Y or R versus _26:39_: Theta would it whatever you like _26:41_: and that line there is the line _26:43_: where X Sigma is equal to a. _26:45_: I would draw another line through _26:47_: the SpaceX Sigma equals a. Plus. _26:51_: Delta E So that's just just moving _26:54_: along a bit. And we'll have. _26:57_: Another period of lines of _26:60_: constant coordinate lines where X. _27:03_: Lambda equals B. _27:05_: Next line equals B plus. _27:08_: Delta B well and and as you can _27:10_: guess these this delta and Delta _27:11_: B I'm going to make small later. _27:16_: And so at this. Is the. _27:20_: Tangent vector corresponding to the. _27:24_: Sigma coordinate. _27:25_: So that's the the direction in which _27:28_: the Sigma coordinate changes and this. _27:32_: Is the. Direction in which the. _27:38_: X Lambda coordinate changes. _27:39_: And we'll start off with a with a vector. _27:43_: V at this point. 8. _27:47_: And we'll do what we do, _27:48_: what we described for. _27:50_: In this case, we'll take this _27:52_: vector for a walk around this path. _27:54_: We'll take it to. To be. _27:57_: We do get to see what you did _27:60_: and we'll bring it back to. _28:02_: A and discover that. _28:07_: Quite unfortunate location of these. _28:13_: There's a change in the vector which is _28:15_: picked up as it goes around that circuit. _28:22_: And we want to, and it's, _28:24_: it's picked that up by virtue of _28:26_: going round that curved space. _28:27_: And what we want to do is work out. _28:30_: The the the size of that _28:33_: vector there and how it? _28:36_: How how it picks up information _28:38_: about the space as we go around it. _28:44_: Now, sorry, by transporting the vector _28:46_: I mean parallel transporting it. _28:48_: Remember I said we've got in this _28:49_: case I'm parallel transporting _28:50_: that back up to there, transport, _28:52_: parallel transport down here and _28:53_: parallel transporting it back. _28:54_: So parallel transport reporting in each case. _28:58_: OK, in other words, _28:60_: in such a way that the derivative is 0. _29:02_: So we know how to do that. _29:08_: So by parallel transporting. _29:12_: The vector V. Um. _29:15_: Along this this fresh leg. _29:19_: That is as seen. _29:25_: That the that it will be parallel _29:27_: transport in such a way that the. _29:32_: The vector of V. _29:35_: As parallel transport _29:36_: it along EE Sigma this. _29:38_: Right here will be 0. _29:41_: And what that means is that um again, V. _29:44_: I comma Sigma. _29:46_: Will be equal to minus gamma. _29:51_: IK Sigma V. Key, and that's just the _29:56_: the the expression for the equate, _29:59_: derivative and component form _30:00_: rearranged for the case where it's 0. _30:05_: Right. Now what? What? What was _30:07_: the result of that going to be? _30:09_: What is the? The. The vector. _30:14_: Let's call that vector at a. _30:17_: What's the vector? The value _30:19_: of the vector V would be at B. _30:24_: What that is going to be the vector. _30:28_: Well, it's listing with, so we're _30:30_: going to go with individual components, _30:32_: include the, the, the, the, _30:33_: the component I component at a. Plus. _30:38_: The changes in the the that that _30:43_: that component as we move along. _30:46_: So it would be the integral from A to _30:51_: B of DV. Yep, I by DX Sigma, DX Sigma. _30:57_: So I'm just I'm just integrating the _31:02_: derivative along along the curve to get the. _31:06_: The results would be IA minus. _31:13_: I Sigma. The. KBTX Sigma. _31:25_: Um. _31:28_: And. This A to B is moving from X = A _31:34_: to X segment equals A+ Delta A. VI. _31:38_: At a. My integral of a A plus. Dot E. _31:48_: DX Sigma. Evaluated. At. _31:53_: Along this line X. Lambda equals B. _32:02_: And. _32:05_: That that's the the the neat _32:07_: version of what I'm growing here. _32:10_: That's what I've just written down _32:11_: and it's clear that we can buy _32:14_: this beam means get the value of _32:17_: the component of V at B. From E. _32:20_: We can get to the value of the item point _32:24_: of C from B in the same way and so on. _32:29_: And end up. With. _32:33_: I I ask you to think what that might be. _32:39_: That is one of the exercises just _32:43_: I encourage you to think through. _32:46_: One of the quick exercises at the _32:47_: at the at the end and I can't _32:49_: remember off the top of my head, _32:51_: but this is an exercise in in _32:53_: keeping track of of signs really. _32:60_: But the. End result. _33:03_: When you when you get _33:05_: all the signs right. _33:06_: And go through step by _33:07_: step is this pattern of. _33:11_: Of of plus minuses and this set _33:13_: of of of of specific intervals. _33:16_: So this integrating from A to B, _33:18_: that's integrating from point B _33:19_: to Point C, Point C to point D, _33:21_: and point D back to point A. _33:25_: Messy, fiddly, but not, but nothing more _33:29_: exotic is happening than than here. _33:35_: Now we can take advantage. _33:36_: We had at this point taking _33:37_: advantage of the fact that _33:38_: just A and delta B are small. _33:40_: So we can do that. _33:41_: The way we do that is by. _33:44_: And. Saying that. _33:49_: The expression such as this. _33:53_: For. Thank you. _33:56_: Have a question I'm picking here. _34:03_: Alright. _34:06_: And. Yes, I think I'm, I'm, _34:09_: I'm, I'm picking specifically. _34:14_: This one here to illustrate. _34:19_: The. _34:23_: Showing OK. _34:26_: The. IG Lambda _34:31_: VGAT evaluated at X Sigma equals _34:35_: E Plus delta east and we can just _34:39_: use Hello theorem to discover _34:41_: that is going to be IG Lambda V. _34:47_: G. At X, Sigma equals A+ Delta A. _34:54_: The body X Sigma gamma I. _34:59_: G Lambda VG at X, _35:03_: Sigma equals A+ order. And. _35:10_: All I'm doing is Taylor theorem to _35:13_: work out what this. This one is. _35:18_: In terms of of this. And you can _35:23_: see that now work out that so the. _35:27_: The that that particular expression _35:30_: evaluated A+ Delta E is going to _35:33_: be that expression plus a bit. _35:35_: So that when I subtract these two things. _35:38_: What I'm left with? Is this? OK. _35:45_: Um. _35:48_: I end up with a simpler expression _35:50_: for which I'm not going to put _35:52_: which is is a numbered in the notes, _35:54_: but between three 47348, _35:55_: which I I encourage you to set through, _35:58_: but we end up. _35:59_: I I'm not going to go through the _36:02_: the the index manipulations here _36:04_: because they're not terribly edifying _36:06_: that just you to watch me try to _36:09_: copy indexes from from my nose, _36:11_: but you but you have the notes and _36:13_: you go through them very carefully. _36:14_: But the point is that we end up. _36:21_: With more things cancelling. _36:23_: And an expression. For. _36:28_: This the change in the ith _36:31_: component of this vector, _36:33_: in other words the. _36:39_: The ith component of this change vector here. _36:44_: In terms of the size? _36:49_: Of this. The size of this? _36:54_: The vector we started off with and this. _36:58_: Rather fiddly expression involving the _37:00_: christophel symbols, which as you recall, _37:02_: you tell us information about the way that _37:06_: the coordinate changes as we move around. _37:08_: But now we'll look at this and _37:10_: stare at it a bit and we realize. _37:14_: This. Component here. Is a number. _37:19_: I mean is, is, is a component of a vector. _37:21_: But is a is a number. What number is it? _37:23_: Is the number we get by applying our. _37:26_: But by taking a vector and _37:29_: applying A1 form to it. _37:32_: So so this this one of the _37:35_: basis one forms which is. _37:37_: And one of the this is the ith. _37:42_: Component of that vector. _37:44_: We obtained it by applying that vector. _37:48_: So V. Is equal to. Delta V. _37:55_: Applied to the. _37:59_: XI. _38:01_: So this depends on A1 form. _38:04_: It also clearly linearly _38:07_: depends on this number DXL. _38:10_: But this? _38:14_: This. To write that. This displacement here. _38:23_: Is going to be delta A. He Sigma. _38:28_: So this displacement vector. _38:32_: Is something which. _38:33_: Is a vector which has as _38:36_: its as its size delta E, _38:38_: so that vector displacement. _38:40_: There is also something that's _38:42_: gone in to a thing to get this. _38:45_: So this is also linearly dependent _38:47_: on the size that size delta E. _38:49_: The size there's a B which was written. _38:53_: I put it here and it's _38:55_: literally dependent on this, _38:56_: the size of this vector we started off with. _38:58_: In other words, this number, _39:01_: this real number Delta VI is a _39:05_: number which depends on one, _39:06_: one form and three vectors. _39:09_: In other words, this is the. _39:14_: Would have written like this. _39:16_: This number is therefore the _39:19_: the what you get when you. _39:23_: Take a a tensor which we'll call R _39:26_: in different rieman, and plug into. _39:28_: It's a 1/3. _39:29_: To answer, _39:30_: we plug in our basis one form vector, _39:34_: started off with and there's two sizes _39:37_: of the two vectors which describe _39:40_: the shape and size of this detour. _39:44_: And this vector here is _39:46_: called the Riemann tensor. _39:48_: It has components this. _39:52_: And it picks up it. _39:54_: It encodes information about the, _39:57_: the, the, the, the, the, _39:59_: the way that the vector changes as _40:01_: we move it around around the circuit _40:03_: in a way which picks up from the. _40:06_: Christophel symbols. _40:09_: And we put pictures value from the _40:12_: console symbols in other words, _40:13_: which we know which you already _40:15_: know contain information, _40:17_: encode information about the way _40:19_: that coordinates change as you _40:21_: move around this space question. _40:25_: So you can create a full path, yes. _40:27_: So and there will be because what we've _40:31_: done is these. We'll set this up. _40:34_: We've constructed this so that these _40:36_: curves here that we're we're moving along _40:39_: are the curves of constant coordinates, _40:42_: so given a coordinate system. _40:45_: Given a coordinate system and then _40:47_: you will always be able to to _40:49_: describe curves of constant cost. _40:51_: Curves cost X and covers cost _40:54_: Y or covers of constant R. _40:56_: And covered, of course, _40:57_: theatre or or or or whatever or latitude, _40:59_: longitude. _40:59_: So you'll be able to set up that grid. _41:03_: And so, but but of course. _41:06_: What coordinates you pick? _41:07_: What coordinate functions you pick? _41:09_: Will affect the number you get here, _41:11_: but that's fair enough. _41:12_: But this is clearly the. _41:13_: This is clearly the the components _41:15_: of the Riemann tensor in a _41:18_: particular coordinate system. _41:20_: You know this is the basis one _41:21_: formed in that coordinate system. _41:23_: These are the basis vectors _41:24_: in that coordinate system. _41:25_: So the this number is clearly _41:27_: a coordinate dependent thing. _41:29_: But what we've argued here is _41:31_: that it has nonetheless what we've _41:33_: indicated that we nonetheless _41:35_: it's our a geometrical object. _41:38_: Which just has coordinate _41:40_: dependent components. _41:44_: And. _41:49_: Uh. _41:53_: And I think that's. Yeah. _41:59_: And and and and that's a very important, _42:01_: very important important tensor which is _42:04_: the includes the information about the, _42:06_: the, the, the, the curvature. _42:07_: Now there's another way we can _42:10_: define that Mark 43 annoying me. _42:12_: There's another way we can define the. _42:15_: The Event Center, _42:16_: which I'm going to just look. _42:24_: And which I'm going to mention because we _42:26_: come back to it briefly in a in a moment. _42:32_: Which is that the human tensor can _42:34_: also be defined in such a way. _42:37_: I'm going to not go through _42:40_: this in detail. It's not it. _42:42_: It is. It's somewhat peripheral. _42:47_: We'll write this down and then _42:49_: explain what it is. And uh. _43:01_: This is station here. Is a commutator. _43:05_: Defined so that a B is equal to a B -, B. _43:10_: E. And I'm not going to you know go _43:12_: through and calculate it with this, _43:14_: but the I I mentioned that just in order _43:17_: to show that there is another way of of of _43:20_: getting to the same point which in a sense. _43:24_: Manifestly, it doesn't depend on _43:26_: coordinates that this this process here, _43:29_: you know, uses court, _43:30_: the truffle symbols it was done in terms of _43:33_: coordinate functions and so on. It's yeah, _43:36_: it feels like it's somehow codependent, _43:39_: but I I will assert that there's _43:41_: another way of getting to the the _43:44_: the the renter in that way. _43:48_: And more or less parenthetically. _43:51_: Um, no, if we stick with this version here. _43:57_: Then you will recall, I hope, _43:60_: that in a particular. _44:04_: And. _44:07_: In particular coordinate system. _44:10_: You can calculate the values of the grateful _44:15_: symbols using the driving from from the _44:18_: components of the metric. So we can. _44:23_: If this would have on the next slide. _44:26_: It's not annoying. _44:29_: Which I wish I had a slight seeing this, _44:31_: but I don't really want to write _44:33_: this whole thing down but. Uh. _44:39_: OK, I'll do it. Is this is _44:47_: 355 RIJKL is half G. IL comma, _44:52_: JK minus and and and other stuff. _44:55_: No write the whole thing the whole day. _44:56_: I should have. I always had a _44:58_: slide of it and now that involves. _45:05_: Is that a question there? _45:07_: And I think I'll can we _45:09_: should auto focus back on to. _45:12_: So the improve that I'm not sure. _45:16_: So this is the. Um. _45:22_: The quick confusing this. _45:23_: So if we recall the the the expression _45:26_: we found for the Christoffel symbol in _45:29_: terms of the metric and its derivatives _45:32_: and do this fairly calculation, _45:34_: we end up with an expression like _45:38_: this and if we do this in a. _45:40_: A local national frame, _45:42_: which makes the whole thing simpler. _45:44_: We end up with an expression for _45:47_: the components of the of the _45:50_: Riemann tensor in in that frame. _45:53_: Now we can't do very much _45:55_: with that in that frame, _45:56_: and we can't use the comical semi _45:58_: colon rule that we found last time, _46:01_: which said that in our local natural _46:03_: frame we could turn simple derivatives _46:06_: into covariant derivatives that _46:08_: works in with single derivatives. _46:11_: Not, but not with second derivatives. _46:14_: But what we can do is look at this state _46:17_: different while and discover a number of. _46:22_: Symmetries of the Riemann. Tensor. _46:27_: If you swap the first the the the _46:30_: the the first pair of of indexes, _46:33_: you change the sign of the of _46:36_: this component if you swap the. _46:39_: Last pier. _46:41_: That you get you the saying if _46:43_: you swap 22 like that you get. _46:46_: An expression which is that that that _46:49_: that component is is the same so that _46:51_: although there are N by N by N by _46:53_: N components in the Riemann tensor, _46:56_: there are lots of that a lot _46:57_: of them are equal. _46:59_: And you can also discover that _47:02_: if you permute the GKLL GKG if _47:06_: you promote the the 3rd 3. _47:09_: Components. _47:09_: You end up with something which is 0 again. _47:13_: By staring at this and the point is, _47:16_: although this is we calculate calculate _47:18_: this in the local national frame where that _47:20_: calculation relatively relatively easy. _47:22_: It's merely tedious and error prone. _47:26_: That's not a tensor equation _47:27_: because of the second derivatives, _47:29_: but we can workout. _47:32_: On the basis of that, _47:33_: we can work out these symmetries because _47:36_: they don't involve any derivatives, _47:38_: particularly don't involve _47:39_: any second derivatives. _47:40_: These are tensor equations. _47:42_: So these, _47:43_: although we calculate them using _47:44_: this in the local national frame, _47:46_: these are not specific to that frame _47:49_: and are and correspond to to tensor. _47:55_: Identities, right? _47:59_: We are almost. Out of time. _48:05_: In order to not run over I could I I _48:09_: do really want to finish this chapter. _48:13_: Today I'll go through the next part _48:16_: fairly quickly and I don't think _48:18_: there are any objectives which depend _48:20_: on the details of this section, _48:23_: but do you want to just talk _48:25_: through them quickly? Um. _48:29_: If you think back to chapter one, _48:31_: we have I'm going to this in one minute. _48:35_: Actually, I'm not. I'm. _48:36_: I I will pick this up again _48:38_: again next time I want to try. _48:39_: At least I have get to go to _48:41_: the end of the of the chapter. _48:42_: We remember that diagram from chapter one, _48:44_: but we were things which were in freefall. _48:49_: A significant difference apart _48:50_: from each other if freefall _48:51_: toward the center of the Earth. _48:53_: They are distance separation between _48:56_: them decreased as time moved on, _48:59_: and the 2nd derivative of that _49:01_: separation was nonzero even though _49:04_: the things weren't accelerating. _49:05_: These as we'll come to discover, _49:07_: we haven't. _49:08_: We don't know this yet because we haven't _49:10_: talked about about general relativity yet. _49:11_: These paths are geodesics. _49:13_: The the path that's something _49:16_: follows as it falls it geodesic and _49:19_: so the fact that the separation _49:21_: between the UCS changes as the as _49:26_: the objects move through space-time. _49:29_: Is is is telling us something about the _49:32_: coverage of the space they're moving through? _49:35_: And So what we discover is through another _49:40_: similar construct we can talk about. _49:44_: Appears of geodesics and talk about _49:48_: the vector. Of course you know joining. _49:52_: A family of duties. _49:55_: I'll talk about the vector joining _49:57_: points on neighboring eugenics _49:59_: which have the same parameter, _50:01_: and ask how does that vector change. _50:05_: We can say that what we have here is also. _50:09_: A circuit in the space so the remain _50:13_: coverage tensor is going to tell us how _50:16_: this connecting vector here changes as _50:18_: we move through that I'm I'm making. _50:21_: That's a rather handwaving _50:23_: remark I at this point. _50:25_: But the end point is that. _50:30_: Jumping to the end, _50:32_: is that the the second derivative of? _50:37_: That connecting vector joining _50:40_: points in two neighbouring geodesics. _50:43_: Ends up. Depending on the. _50:46_: The change of vector to the geodesic the X it _50:49_: depends on the on how far apart they start, _50:51_: off the side of the of the connecting _50:54_: vector at the beginning and on the _50:56_: Riemann curvature tensor. _50:58_: So the recovery tensor is not just _50:60_: telling you about the shape of the well, _51:02_: it is telling you the the curvature, _51:04_: the shape of the. _51:06_: Space you're moving through. _51:08_: And one of the ways it does _51:10_: so is by saying how? _51:12_: How quickly. _51:14_: These two. _51:16_: Two objects. _51:20_: Two things moving along along geodesics, _51:22_: how quickly that connecting vector changes. _51:27_: That's a tidal force. _51:28_: That's things like these two things falling _51:31_: towards the center of the Earth and getting _51:33_: closer together without accelerating. _51:35_: I think there's basically no objective _51:37_: depend on the details of that. _51:39_: I, I, I encourage you to look through _51:40_: the corresponding part of the notes, _51:42_: but I I think that is all I'll see with that. _51:46_: So I think we can therefore declare part _51:49_: three finished or go into Part 4 next time. _51:53_: I think the overview video _51:56_: is up on the stream site. _51:59_: If it's not, _51:60_: I'll check and I'll make sure that _52:02_: the notes are up promptly and I'll