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Insights into the Riemann Hypothesis

In2infinity - 4D Maths
In2infinity - 4D Maths
Insights into the Riemann Hypothesis
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Okay, this is Colin Power from in2infinity with the Riemann hypothesis solution. Looking at the PI function and some of the stuff there from this perspective of fourth dimensional mathematics. Some things came back to us about the number I obviously, the number is played quite an important role in mathematics thus far. And for someone like me just to come along and you know, say that the number it doesn’t really work in the fourth dimension, and all of that stuff, it might causes a little bit of a stir, but let me just explain is not that it doesn’t work. But really what we’re doing with the number is we’re not creating a three dimensional plane is as mathematicians believe they’re doing, they’re actually creating a two dimensional plane. That’s what zero squared creates, it creates a square actually is a cross we should be clear about that. It’s a cross surrounded by infinite space. The symbol for this is sometimes represented as a circle divided into four you see that sometimes as across in ancient sort of cultures and things like that. But there has a meaning to that, which is zero squared is at the centre. And each one of those spaces then revolves out into infinite space, which is what we have, we have the infinite reciprocal space at all at all dimension. Now, well, the thing about a cross is in, in, in in 4d Mathematics, what happens is we have that cross and then when becomes zero to the power of three, it creates the hexagonal, yeah, it’s a hexagonal plane, and the hexagonal plane is not one that mathematicians work with particularly, but it is the it is a three dimensional plane, it does have a Z axis, and therefore it is representative of an octahedron in space and X y&z axis. We can see that from the from the nature of the thing, but what it does is when we flatten it into 2d, 2d space, we can perform fourth dimensional mathematics. And that kind of works through rotational process similar to the process of the square. As it’s kind of mentioned, if you imagine the Reimann square is kind of like a square that’s divided in half, which is kind of like just looking at the whole number section. Remember when with our solution to the continuum hypothesis, we have one square, which is a complete square and another square which is half a square, and we just folded number space and we did that and it created two opposite squares. adjoined to the corner point here where one squared was, you can look into some of that, but what it basically means if you think about is that we’re saying that the when you divide a square or that space is that the opposite is that the diagonal? Is a space, it’s a 2d space is not the line. We shouldn’t be looking at the line we should be looking at the number space, and that’s what the number is trying to do is try to construct a number plane, but it’s a 2d plane. It’s not a 3d plane, and we have to be clear about that. And as such, you could say a 2d plane can exist only in two forms. That’s either the square or the triangular, which makes the two types of 2d Regular 2d That can only be filled with two different colours. We do make a hexagonal plane and that’s filled with three colours normally, but what you can find is is that the hexagon itself can be composed if it’s just a single hexagon from a simple set of triangles, six triangles arranged and so when we think about two pi, two e being two triangles, remember that so we had a two he was in the equation, that would be two E, and then we’d have three of those times three will actually happens is that the divides itself and you get like a kind of black and white. Yeah, so there’ll be three upward triangles and three downward triangles. And let me just explain how that works in a little bit once we go through the the squaring, so with a similar sort of thing you can see with the square, we have like say two black opposites and two white opposites and that forms that type of number space. Now because basically, you could say that the current mathematic is missing the spaces that are white, should we say and completely missing the hexagonal plane completely. Then we don’t have a proper picture of the third dimension. We’ve only got half a picture of the second dimension even so it’s like we’re looking at half a square. So that’s one of the reasons why you see this. Raymond Raymond, normally where the you know, the zeros are spaced every two. Anyway, what you can say is like, in a way, you could say that what’s happened is we’ve divided number space into ordered evens, and we’re only looking at the evens, in a sense, yeah, we’re making rotations in that. And that’s quite true because if you think about what’s happening, let’s say if I rotate, let’s say a colour in one one side, well, let’s say we make cross here, and we put a triangle in one of it, one corner of it, and we’ll colour that Yep. And we’ll just make a rotation 1234 And it comes back to the same place. So when is in position one as one, the next one will write to the right three below that right form below that, and when it goes when I write number five, which is the spatial data, spatial numbers, that superimpose itself over the one in ordinal numbers we’ve done a rotation for so four to five. When we come to the examples, the hexagonal blade, we take a rotation will take six steps. And what will happen is then we go 123456 And just like that, will place the seventh will be the ordinal that will be the number one takes it back to the start. So just like the octave you can understand as the octave in music, in a sense. And what happened what’s happening is, is that every time the there’s a rotation of the square, the the hexagon is is falling backwards, minus two. So we rotate the square 1234 and the hexagon hasn’t completed. It’s gone is still it’s minus two from the one rotation of the square. And so can you see what’s happened here at minus two obviously, as the Raymond thing isn’t here, and so as you go round again, on the hexagonal plane is going to be minus two again, that regard as a second nonzero as it were, and then we’re going to go back again and then it’s going to unify Yeah, but what we will see is that the hexagonal plane has now been divided into black upward facing triangles. If you like on white downward facing triangles, we could colour them like that. Whereas the square plane itself will have to two black and two white half square that make up a complete square. So that’s kind of how the number system actually works in fourth dimensional mathematics. And once you start to look at that, from the perspective of what’s happening with the z two plane, the z two function now, it kind of looks a little bit like a man opening and closing a door continuously slowly making his way in a circle. Or another way of looking at it would be an aeroplane with just a lion instead of a space as a propeller. And what happens is, is that the square root of minus one as you keep reiterating it is going to collapse to zero over and over again. We’re collapsed it collapsed it collapsed it collapsed it collapsed it collapse it and as it does, it will collapse zero into itself. And that’s what creates that arc curvature. Very, very slow as you reiterate to infinity, which is what you see with the pint at the height of the pie equation which is kind of what ends up Yeah, equals minus one, because they’ve done a half arc. It’s a half arc, by the way, it’s not a full arc. They they didn’t do a full arc, if you see I’m saying it was just a half arc. And that’s because of the nature of the mathematic really, rather than actually, you know, missing half the numbers. So you’re gonna miss all of that. So it’s not going to complete the circle basically. That’s the because we’re missing the density of infinity that LF nought point five provides that that can that confirms what we’re saying is true, you know that these there are infinities. There is a density of infinity and we’re not matching that with the zeta function. And so what happens is is that we end up to getting non trivial such as pop in and out of the space all the time. And when we’re looking at it from a rotational perspective, what we actually see is, it’s sort of like you rotating once and you’re opening the square, and you’re rotating again and you’re collapsing the square. You’re rotating. If you’re performing another calculation with the minus sign, you’re opening it. Another calculation, you’re closing it. And that’s why when you start to perform these infinite infinite calculations, like the ones that you see for the Riemann hypothesis, they’re infinite calculations, they go on to infinity. You start to have to realise that you cannot actually express these things that anything because was we just express once we go through the infinite calculation, and we go back to the most simple which is dividing plus doesn’t even use multiplication. Don’t use any of that just divide in plus, that we’ve already created a system of mathematics, whereby these algebraic concepts are of no use anymore. And that means that because they are of no use, we there is no point in applying the concepts of algebra to the fourth dimensional plane. And that’s fine. I think, you know, the number I mean, it’s not anyone’s fault, by the way. I mean, if there’s a system there still you could say you know, any mathematical system has a validity, but what we’re saying is if you want to know why it is called these anomalies in it, that’s why we are explaining why it has those anomalies. And once we move into the fourth dimension, what we find is we can calculate the end of infinities and we’re going to show you how to do that in more detail. We’ve given you a little bit of a few examples from the perspective of by the decimal, the decimal, the decimal point, yeah, what what’s happening behind the decimal point, and that’s the quantization of the effect. When we draw things using geometry, we’re actually also we’re moving into the infinite because we can draw a circle with a compass and so actually, we do find in the exact next we are actually able to literally put a pencil on the line rather than actually just move up to it, which is what we have to do with the mathematics. So the geometric function are a second type of numbers. We’ve already told you that. And that’s why is because we can perceive the infinite from the outside and and can encapsulate infinity. And so whereas when we’re in number space, it’s just like the surface within those those lines. And so we can only go up to the edge of the line as it were. And so those lines contain infinite number space at various densities is what we’re saying. And so by working on surface area stuff, you’re also working at the you know the density relationship of some of these numbers. And if we’re using anything, but at base infinity, there will be distortion in the wave. And that distortion is not a negative thing. It’s actually what makes different patterns come out of the numbers and form these interesting patterns. But what we have to understand is an infinite number of bases. And so there’s each boy one more a different pattern. So that’s why we can have literally an infinite number of numbers x infinity, x equals infinity, and that can equal you know, whatever number we kind of choose really but it will it will devolve in but it will devolve to a particular number. And that particular number is a calculable event is a calculable number. And because it’s calculable, it can produce primes and all that sort of stuff. We use a different kind of mathematic. And but the mathematics is so strange to us at the moment that we don’t even have a grasp of it. So it’s new territory, but I encourage you to check out some of the simple simple Excel spreadsheets that we’re going to provide. And so that you can start to have a little play around with it for yourself and see how it works. See how the mathematics works. And yeah, and so then actually, I think what happens is the Z to function will become clearer what’s what it wants, what’s happening during the four dimensional space and in that case, we have solved the Raymond z to z problem. Yeah. But unfortunately, not in the way that mathematics would probably have liked us to solve it. Anyway, that’s me calling power just giving you a little bit more there on some of the rotational functions. We do have a rotational map that you can try out as well if you’d like to do that. sort of thing. You’ll literally just draw across and you start writing in an anti clockwise direction, you write 1234 in each corner, and then you just go out in a spiral 5678 And then you write way up to 25. Do the same with the hexagon. And you can just make an analysis of some of those numbers and what arms they pop out on and things like that. That’s one of the techniques that we use number circles in order to decode some of the infinite. I’m not going to go too much into detail on this broadcast on that, but if there is interest, you can also look up Peter Fletcher does some stuff on this thing with his book called secret formula. It’s well worth reading. But we would point out that you actually only need to go up to the number 25 Because that’s the pie remember, 25 plus a third. And so we don’t need anything more than that. That’s enough to to see us through five squared, at least as far as we can go. Today. There are another numbers such as the number seven which works into the vortex codes as we’ve discussed. And actually all of this does translate into a universal mathematic that we can also use to decode the atom. So we’ll have a little bit more on that in future broadcasts. As for now, that’s all we’ve got time for. So my name is Colin Powell. You guys are awesome. And this is a broadcast from into infinity decoding the Riemann hypothesis and putting things back on track with fourth dimensional mathematics

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