쉐도잉 연습: Roger Penrose - Is Mathematics Invented or Discovered? - 영상으로 영어 말하기 배우기

레슨 만드는 중...
1
Roger, I have been fascinated by mathematics my entire life, and it is a pleasure to come to you to discuss two of its fundamental aspects.
2
One, its incredible capacity to describe reality, and then what mathematics really is.
3
So let's start with the first.
4
How accurately does math describe the physical world?
5
Well, it is extraordinarily precise.
6
And in different areas, more precise.
7
In some areas, we know less about it.
8
But I think people often find it puzzling that something abstract like mathematics could really describe reality as we understand it.
9
I mean, reality, you think of something like a chair or something, something made of solid stuff.
10
And then you say, well, what's our best scientific understanding of what that is?
11
Well, you say it's made of fibers and cells and so on.
12
And these are made of molecules, and those molecules are made of atoms.
13
Those atoms are made out of nuclei and electrons going around.
14
And then you say, well, what's a nucleus?
15
And you say, well, it's protons and neutrons.
16
And they're held together by things called gluons.
17
And then neutrons and protons are made of things called quarks and so on.
18
And then you say, well, what is an electron and what's a quark?
19
And at that stage, the best you can do is to describe some mathematical structure.
20
You say, they're things that satisfy the Dirac equation or something like that, which you can't understand what that means without mathematics.
21
I mean, the mathematical description of reality is where we're always led.
22
And these equations are fantastically accurate.
23
The Dirac equation, which describes the electron or quarks, is a very precise equation.
24
And for example, there's a calculation which describes the magnetic moment, that is, electrons behave like little magnets.
25
And the magnetic moment, the strength of that magnet can be described in terms of other parameters.
26
And there's a calculation which gets the accuracy of that.
27
Well, Feynman had a very good description.
28
He said it describes the distance between New York
29
and Los Angeles to an accuracy of less than the thickness of human hair.
30
So that's pretty precise.
31
That's unbelievable.
32
And that's describing the microstructure of atoms and...
33
Yeah, but these are the particles...
34
The electron and the gluons.
35
The electrons...
36
This is specifically electrons and quarks, the things which are called spin-half particles, but don't worry about that.
37
Gluons are slightly different.
38
Now mathematics can also describe things in the ordinary physical world, the gravitational attract, electromagnetic attraction, and with the same kind of descriptive accuracy?
39
Well, there's another, even more in a certain sense, because gravity, according to Einstein's theory, I mean Newton's theory already,
40
had a precision of something like one part in 10 to the 7, so that's 10 million.
41
Wow.
42
One part in that.
43
And then there was discrepancies seen in the behavior of mercury and so on,
44
And that's where you start to see differences with Newton's scheme.
45
And then Einstein comes along and produces a theory
46
which is now known to have a precision something like 10 to the power 14.
47
And that precision is a measure of how accurate.
48
There's a particular system of two stars going around, special kinds of stars, called neutron stars, very dense objects.
49
And these stars, one of them is what's called a pulsar.
50
It emits pulses of signals, which can be timed extremely precisely.
51
And over a period of, well, I suppose it's maybe more than 30 years now, I can't remember, they've been observing this thing.
52
And in that period of time, the accuracy over that length of time is known to something like one part in 10 to the 14.
53
And the agreement between Einstein's theory and the observations.
54
So it's telling you these are very, very precise theories.
55
So whether we're talking about the structure of very large entities, neutron stars over great distances in the universe with gravity,
56
or the structure of an electron, mathematics in both cases is able to describe it with that kind of incredible precision.
57
Exactly.
58
And these are small equations.
59
I mean, they're not giant.
60
That's right.
61
They're relatively small equations.
62
I mean, they're a little difficult to understand and Einstein's theory is certainly subtle.
63
It's not complicated in the sense that the ideas, okay, you have to understand about curved space and that sort of thing,
64
which is not an easy thing to get your mind around.
65
But once you get over that.
66
Once you get over that, it's about the simplest thing you could write down.
67
Wow.
68
In that kind of term.
69
So we have this extraordinary precision between mathematics on the macroscopic level
70
with neutron stars and at the microscopic level with the nature of the electron.
71
And mathematics is incredibly precise in both cases.
72
So what does that now begin to tell us about what mathematics really is?
73
Yes, well, in a sense, this is telling us that our picture of physical reality depends on something in a sense which is more precise, at least in our understanding of it,
74
than how we think about the world.
75
And this precision really dates back to the ancient Greeks, the time of Pythagoras and later,
76
where they developed the mathematical ideas as a field of study, stimulated to some degree by physical reality.
77
Because the geometry of Euclid, which was very much part of the mathematics that was being studied then,
78
which we know now isn't extraordinarily precise, I mean it is extraordinarily precise, but it's not as precise as Einstein's theory.
79
So one has to go a little bit beyond the geometry that they had.
80
I don't think they quite appreciated that they were doing physics, because they didn't realize that the geometry of the world could have been anything else.
81
But they developed this mathematical scheme purely as a study on its own.
82
And so mathematics was studied as a pure intellectual activity,
83
And without necessarily it being related to the structure of the physical world, although geometry clearly was a big input.
84
But then the properties of numbers and how you add and multiply and the notions of prime numbers, the fact there are infinitely many prime numbers, that goes back to Euclid and earlier.
85
And so these things just about numbers were developed very much from the time of the Greeks.
86
And ever since then, mathematics has been a subject which you can study for its own sake.
87
It has its own life, in a sense.
88
And certainly mathematicians view it this way.
89
It's something out there which seems to have a reality independent of the reality, the ordinary kind of reality like things like chairs and
90
so on which which are what we normally think of as real
91
but uh okay the mathematical reality is something different it's sometimes referred to as a platonic world a platonic reality
92
and sometimes people have a lot of trouble thinking
93
that is real i mean philosophers uh worry about that and
94
so on what does that what would
95
that mean a platonic reality well i think uh it's a different kind of reality from the reality of the physical world.
96
I tend to think of there being different ways of looking at reality.
97
There's the reality of our mental experience, which interrelates with the physical reality,
98
but so then does the mathematical reality of this platonic world, which gives reality to these notions.
99
So if you like mathematical facts, like there is no largest prime number, it's something independent of ourselves.
100
It's always been true.
101
It doesn't somehow become true as soon as somebody saw how to prove it.
102
It's always been true.
103
There are wonderful examples like the...
104
And it would have been true if nobody ever...
105
Exactly.
106
Yes.
107
And in a sense that had to be so because if the physical world depended so precisely on these mathematical laws,
108
I couldn't have known what to do in a certain sense if the mathematics hadn't already been there.
109
It's not us that imposes this on the world.
110
It's out there.
111
Sometimes people think
112
that maybe the reason we have good mathematical laws of physics
113
is that's the best way we can come to understand the world.
114
But it's something more than that.
115
It really is out there in the world.
116
Well, that's the argument.
117
Whether mathematics is invented by us, by human beings, trying to impose our way of thinking on the physical world,
118
or whether it is discovered because it's already out there and we're finding it because it's already there.
119
Those are the two polar views.
120
Sometimes people do argue.
121
They say, well, you know, it's just our way of organizing what we see about us.
122
But I really don't think that's good enough, because Newton, for example, the observations probably had about three figures,
123
three decimal places, and he produced this theory which kept on working until about seven figures, you see.
124
Then there were discrepancies seen.
125
Einstein produced his theory mostly out of his head, appealing to things that were known to Galileo and so on.
126
But apart from that, it was not much more empirical evidence.
127
But he produced this theory which extended far beyond anything that the observations at that time told us about.
128
And they keep on agreeing with the observations.
129
So that theory, which is, if you like, a platonic absolute thing,
130
it's a mathematical thing, seems to be inbuilt into the way the world operates.
131
It's not as though you see a new effect and say, OK, we're going to think of a better theory to accommodate that one.
132
Sometimes science is like that.
133
But these really good physical theories are not like that.
134
You're revealing something in the way the world operates, which is there all the time.
135
And I don't think there's any way of understanding
136
that just in terms of our trying to understand what we see around us.
137
A critical fact really seems to be what you said, that when these mathematical theories were discovered,
138
the accuracy that the observation that they had at the time was small compared to the accuracy that those theories then produced.
139
That's right, that's right.
140
I mean, Einstein's case, okay, seven figures of decimal were known perhaps in the planetary motions, but there's another seven out there.
141
The precision is over and above that.
142
It's as much as, yes.
143
10 million, 10 millions.
144
It's 10 million, 10 million, yes, that's right.
145
Yes, yes.
146
I mean, that's unbelievable.
147
Yes, no, it's incredible.
148
So push it further.
149
What does that mean?
150
Because mathematics is almost infinite in terms of all the different relationships and expressions and things that we already know.
151
Yes.
152
What does that mean in terms of how much mathematics is sitting out there?
153
Well, that's a good point, because there's an awful lot of mathematics which doesn't seem to have any clear relation to the physical world.
154
The way I like to picture it is there is this world of mathematics, and only a small part of that, and it's a very fruitful part, it's an extraordinarily fruitful part,
155
has relevance to the physical world.
156
There's an awful lot out there which, as far as we know, has no relation to physical behavior.
157
Well, of course, people said some of that in the past, and then we've been surprised to find some other things that later have.
158
But still, there's so much math out there, and so much bizarre, I don't know how else to put it,
159
structures, that it would seem impossible that that could relate to the physical world.
160
But what does that mean about, if it is out there in some platonic world, what is out there?
161
In other words, all these infinite ideas and structures and possibilities?
162
Yes.
163
Sometimes people think of these as mental creations, you see, but it doesn't really explain...and there's this wonderful example of the Mandelbrot set, extraordinarily complicated.
164
The fractional...
165
Yes, and you can magnify little bits of it and you see all this incredible detail.
166
And that's all there in a very simple mathematical idea, and it's encompassed by this very simple piece of mathematics.
167
How does that give your own sense of what mathematics really is?
168
Well, I think there are two aspects to mathematics, at least how I look at it.
169
Some people are just exploring the mathematics, and that's their real interest.
170
And it's the beauty in the subject often, and that's why they're doing it, because they find it exhilarating, something they find really wonderful to do.
171
But there's the other side of it, which is how it relates to the physical world.
172
And there is this extraordinary precision that we find when you get the mathematics right.
173
It really mirrors the behavior of the physical world to an unbelievable degree.
174
And so there's these two sides to mathematics.
175
It has this reality which you can study quite independently of its role in physics.
176
And the other side, which is how it really does seem to reveal how the real world operates, in a certain sense, what the world is, as far as we can understand it.

이 비디오로 말하기 연습하는 이유는 무엇인가요?

이 비디오는 수학이 현실을 어떻게 정확하게 설명하는지에 대한 흥미로운 논의를 제공합니다. 유튜브 영어 공부에 적합한 이 내용은 수학의 정밀성과 과학적 이해를 강조하며, 복잡한 개념을 명확하게 설명하는 말하기 연습에 좋은 기회를 제공합니다. 이를 통해 영어 학습자들은 자신이 관찰하는 현실 세계와 그것을 설명하는 데 필요한 어휘와 문장을 자연스럽게 연습할 수 있습니다. 영어 쉐도잉 기법을 활용하면 발음이나 억양뿐만 아니라 즉각적으로 피드백을 받을 수 있어 매우 유용합니다.

문맥 속의 문법 및 표현

비디오에서 사용된 몇 가지 주요 문장 구조를 살펴보면 다음과 같습니다:

  • “How accurately does math describe the physical world?” - 질문 형태로 시작하여 청중의 관심을 끌 수 있습니다.
  • “And then you say, well, what's our best scientific understanding of what that is?” - 듣는 사람에게 사고의 과정을 유도하는 구조로, 대화를 흥미롭게 만듭니다.
  • “I mean, the mathematical description of reality is where we're always led.” - 주장의 강조와 함께 청중의 이해를 돕는 표현입니다.

이러한 표현들을 연습함으로써, 학습자들은 의사 소통을 보다 매끄럽고 자연스럽게 할 수 있습니다. shadowing site에 있는 다양한 자료를 통해 이러한 구조를 반복적으로 연습할 수 있습니다.

일반적인 발음 함정

비디오에서 몇 가지 발음이 까다로운 단어와 억양이 있습니다. 예를 들어:

  • “Dirac equation” - 복잡한 단어로, 발음할 때 강세를 올바르게 주는 것이 중요합니다.
  • “neutron stars” - ‘n’과 ‘u’ 발음이 연속될 때 주의해야 합니다.
  • “magnetic moment” - 이 표현은 특정한 과학적 배경이 필요하므로, 발음뿐만 아니라 의미 이해도 필수입니다.

이러한 표현들을 연습할 때 shadowspeaks 같은 비디오 자료를 활용해 발음을 반복하고, 청취력도 동시에 향상시키는 것이 좋습니다. 비디오를 반복 재생하며 쉐도잉하는 것은 발음을 교정하는 데 매우 효과적입니다.

쉐도잉이란? 영어 실력을 빠르게 키우는 과학적 방법

쉐도잉(Shadowing)은 원래 전문 통역사 훈련을 위해 개발된 언어 학습 기법으로, 다언어 학자인 Dr. Alexander Arguelles에 의해 대중화된 방법입니다. 핵심 원리는 간단하지만 매우 강력합니다: 원어민의 영어를 들으면서 1~2초의 짧은 지연으로 즉시 소리 내어 따라 말하는 것——마치 '그림자(shadow)'처럼 화자를 따라가는 것입니다. 문법 공부나 수동적인 청취와 달리, 쉐도잉은 뇌와 입 근육이 동시에 실시간으로 영어를 처리하고 재현하도록 훈련합니다. 연구에 따르면 이 방법은 발음 정확도, 억양, 리듬, 연음, 청취력, 말하기 유창성을 크게 향상시킵니다. IELTS 스피킹 준비와 자연스러운 영어 소통을 원하는 분들에게 특히 효과적입니다.