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B1 متوسط انگلیسی 9:52 Educational

Vectors | Chapter 1, Essence of linear algebra

3Blue1Brown · 11,285,811 بازدید · اضافه شده 4 روز پیش

آمار یادگیری

B1

سطح CEFR

5/10

سختی

زیرنویس‌ها (157 بخش‌ها)

00:00

[Translated by Grant Sanderson. Submit corrections at criblate.com]

00:10

The fundamental, root-of-it-all building block for linear algebra is the vector.

00:15

So it's worth making sure that we're all on the same page about what exactly a vector is.

00:20

You see, broadly speaking, there are three distinct but related ideas about vectors,

00:24

which I'll call the physics student perspective,

00:26

the computer science student perspective, and the mathematician's perspective.

00:30

The physics student perspective is that vectors are arrows pointing in space.

00:34

What defines a given vector is its length and the direction it's pointing,

00:38

but as long as those two facts are the same, you can move it all around,

00:41

and it's still the same vector.

00:44

Vectors that live in the flat plane are two-dimensional,

00:46

and those sitting in broader space that you and I live in are three-dimensional.

00:51

The computer science perspective is that vectors are ordered lists of numbers.

00:55

For example, let's say you were doing some analytics about house prices,

00:59

and the only features you cared about were square footage and price.

01:03

You might model each house with a pair of numbers,

01:05

the first indicating square footage and the second indicating price.

01:09

Notice the order matters here.

01:12

In the lingo, you'd be modeling houses as two-dimensional vectors,

01:15

where in this context, vector is pretty much just a fancy word for list,

01:19

and what makes it two-dimensional is the fact that the length of that list is two.

01:25

The mathematician, on the other hand, seeks to generalize both these views,

01:29

basically saying that a vector can be anything where there's a sensible notion of adding

01:33

two vectors and multiplying a vector by a number,

01:36

operations that I'll talk about later on in this video.

01:39

The details of this view are rather abstract, and I actually think it's healthy to ignore

01:43

it until the last video of this series, favoring a more concrete setting in the interim.

01:48

But the reason I bring it up here is that it hints at the fact

01:51

that the ideas of vector addition and multiplication by

01:54

numbers will play an important role throughout linear algebra.

01:58

But before I talk about those operations, let's just settle in on

02:01

a specific thought to have in mind when I say the word vector.

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