跟讀練習: Mathematician Collapses All Functions to One Weird Formula - 通過影片學習英語口語

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81 句
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plus, minus, x times y, x to the power of y, sine and cosine.
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Maths is full with complicated operations that you do to numbers.
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An ambitious new paper now claims that actually you can do everything with only one operation.
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That's quite a claim.
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Maybe that finally explains why the Americans have only one math, where the Brits have maths.
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I've had a look.
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The new paper's a preprint that appeared on the archive the other week and comes from a mathematician in Poland.
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The one operation
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that he says can give everything is taking the exponential function of a number x minus the logarithm of another number y.
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He calls that ML, short for exponential minus logarithm.
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For example, if you put x and 1 into the ML function, you get e to the x minus log of 1.
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Log of 1 is 0, so this gives you just the exponential function.
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You can also get the logarithm itself back out.
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For this, you first take ml of 1 and x, that gives you e minus log x.
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Then you put that back into the first slot with another one.
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So ml of ml 1 x 1, that gives e to the e over x.
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And then you put that yet again into the second slot of ml with a 1 in the first.
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If you work through the algebra, all the extra pieces cancel and you're left with just log of x.
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So the same function gives you exponentials and logarithms indirectly.
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But how do we get the standard operations, addition, subtraction, multiplication, etc.? They're all in there.
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Take subtraction.
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We just saw that you can express the exponential function and the logarithm through ML operations.
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If you put those back into the ML function, what do you get?
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You get x minus y.
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You can also get a plus just by entering minus y.
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And now you see you can put the sum of two logarithms into the exponent of the exponential function.
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That'll give you multiplication.
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And once you have multiplication, you can define powers and so on.
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If you want to get trigonometric functions, you first need imaginary numbers.
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You can get those from the logarithm at negative numbers, though there's a branch cut involved there.
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I know that sounds like a gardening accident, but it just defines the logarithm for a negative number.
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But once you have that, you get complex numbers, and you get sine and cosine and even the number pi.
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What you do not get, for all I can see, is all real numbers starting from just 1 and 0, not without taking infinite limits.
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But the author doesn't make that claim.
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He says one can get all mathematical operations.
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The paper hasn't yet been peer -reviewed, but I'm reasonably sure it's correct.
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I saw a lot of people online worry about the arbitrary branch cut of the logarithm, but I don't think this matters.
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Yes, you could choose it differently, and that it'd give you a different definition of complex numbers, but it'd still work.
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Now, you may be wondering whether this is actually useful.
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The answer is, for normal people, probably not.
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No one's going to replace a normal calculator with one
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that has a single deranged button that expects you to rebuild cosine by nesting 15 different operations.
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The interesting part is structural.
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In computer logic, there's a logical operation called NAND, which is enough on its own to build all the usual logical gates in a computer.
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This paper's trying to find the analog for ordinary continuous maths.
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The claim is that EML is kind of a NAND gate for scientific calculators.
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And there is a possible practical angle.
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If every ordinary formula can be rewritten as a tree made from one repeated building block,
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then that gives you a very uniform way to search for formulas with a computer.
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The author suggests this could be useful for symbolic regression, which means trying to guess the equation behind a set of data.
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So this may be less about helping humans do maths
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and more about giving machines a simpler language in which to search for equations,
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which is nice because if the machines are going to take over science, then at least they will do it in an orderly manner.
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I give this paper a 0 out of 10 on the bullshit meter.
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It's a cute paper.
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I think that the point isn't super surprising to anyone, but it is surprising that no one has done it before.
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There are two ways one can look at this result.
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One is that mathematics appears more complicated than it is.
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The other way to look at it is that what we think of as complicated is very subjective.
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You could rightfully argue that maybe using 10 or
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so different operations is easier than nesting just one operation 20 times in itself.
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In the end, it depends on just how you quantify simplicity.
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This is also an issue that haunts the foundations of physics, because what really do we mean when we say
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that simple explanations are better if we don't agree on how to measure simplicity?
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Or maybe it just tells us that mathematicians have too much time.
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67
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71
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Thanks for watching.
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See you tomorrow.

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本課的詞彙與口語要點

這段影片共有 81 個句子、1038 個單詞可供跟讀。 講話部分時長為 6:24。 說話人語速自然,每分鐘約 162 個詞,接近日常對話。 只有 79% 的單詞屬於英語最常用的 3,000 詞,詞彙難度較高。

影片中的重點詞彙

影片中 15 個值得學習的單詞,附發音和釋義:

單詞發音釋義
minus/ˈmaɪ.nəs/減 /減
mathematics 名詞/mæθ(.ə)ˈmæt.ɪks/數學 /數學, 算學 /算學
complicated 形容詞/ˈkɑm.plɪˌkeɪ.tɪd/複雜 /複雜
earn 動詞/ɝn/掙 /掙, 賺 /賺
practical 形容詞/ˈpɹæk.tɪ.kəl/使用的, 實用 /實用
gate 名詞/ˈɡeɪ̯t/門口 /門口, 門 /門
formula 名詞/ˈfɔː.mjʊ.lə/公式
ordinary 形容詞/ˈɔɹdɪnɛɹi/普通, 平常
define 動詞/dɪˈfaɪn/界定
nest 名詞/nɛst/вә, 岫
equation 名詞/ɪˈkweɪ.ʒən/方程式, 方程
calculator 名詞/kæl.kjə.leɪ.tɚ/計算器 /計算器, 電子計算器 /電子計算器
argue 動詞/ˈɑɹ.ɡju/辯論 /辯論, 爭辯 /爭辯
explanation 名詞/ˌɛkspləˈneɪʃən/解釋 /解釋, 說明 /說明
physics 名詞/ˈfɪz.ɪks/物理學 /物理學

影片中出現的短語動詞

單詞釋義
take over 動詞接管, 接手

影片中的語法

說話人最常用的結構,並附上影片中的原話:

結構影片中的用法
現在完成時 have/has + 過去分詞 — 過去發生但與現在仍有關聯的事I've had · has done · has already built
定語從句 who / which + 從句 — 補充說明人或事物NAND, which is · regression, which means · those who don
被動語態 be + 過去分詞 — 強調發生了什麼,而不是誰做的can be rewritten · is rated

需要注意的發音

說話人用了 14 次縮略和弱讀形式,例如 don't, it'd, doesn't。請按聽到的簡短形式來說。

  • “th” 音: mathematics /mæθ(.ə)ˈmæt.ɪks/, mathematical /ˌmæθ(.ə)ˈmæt.ɪ.kəl/, logarithm /ˈlɑ.ɡə.ɹɪ.ð(ə)m/, mathematician /ˌmæθ.(ə.)məˈtɪʃ.ən/
  • “sh” 和 “zh” 音: equation /ɪˈkweɪ.ʒən/, explanation /ˌɛkspləˈneɪʃən/, structural /ˈstɹʌk(t͡)ʃəɹəl/, ambitious /æmˈbɪʃ.əs/, compilation /ˌkɑm.pɪˈleɪ.ʃən/
  • 長單詞——注意重音位置: mathematics /mæθ(.ə)ˈmæt.ɪks/, complicated /ˈkɑm.plɪˌkeɪ.tɪd/, ordinary /ˈɔɹdɪnɛɹi/, simplicity /sɪmˈplɪsɪti/, calculator /kæl.kjə.leɪ.tɚ/

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