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I got a viewer request to solve this system of linear equations

17,239 görüntüleme • 8 ay önce •via X (Twitter)

17 Yorum

The Really Bad Golfer profil fotoğrafı
The Really Bad Golfer8 ay önce

X=19-13 X=6 Y=13-6 Y=7 10X+Y=67

Sean McClure profil fotoğrafı
Sean McClure8 ay önce

We can readily subtract linear equations because thier subtraction isolates structure in a reliable way, whereas the difference between non-linear terms depends on the unknown itself, so elimination no longer isolates structure, it entangles it. (2x + y) - (x + y) = 19 - 13 …the y-terms cancel so x = 6 Plug back into x + y = 13 gives y = 7 So: 10x + y = 10(6) + 7 = 67

Kalub! A fox profil fotoğrafı
Kalub! A fox8 ay önce

i got it immediately and it made me want to turn into milk and cookies

Tømek☮️ profil fotoğrafı
Tømek☮️8 ay önce

It’s 67 again isn’t it?

MATRIX! profil fotoğrafı
MATRIX!8 ay önce

“YO UNC”???😭😭😭

ibrahim🐅🐕🐩 profil fotoğrafı
ibrahim🐅🐕🐩8 ay önce

ez. use a matrix

Steven Walk 🇺🇦🇮🇱 profil fotoğrafı
Steven Walk 🇺🇦🇮🇱8 ay önce

I paused it at 0:04, did the math in my head, and groaned.

EdwigeFan profil fotoğrafı
EdwigeFan8 ay önce

Or you could multiply eq1 by 2 and then subtract eq2 to get y=7, and go from there 2x + 2y = 26 - 2x + y = 19 => y = 7

Quantum Krizty profil fotoğrafı
Quantum Krizty8 ay önce

How do they relate to each other? I was thinking "they both have an x and a y". I guess you have to start somewhere. 🤣

This Journey profil fotoğrafı
This Journey8 ay önce

Not sure if you know my son Daniel Hooker. He’s currently there finishing his master’s in physics but also received his undergrad degree in math.

SiMoStro profil fotoğrafı
SiMoStro8 ay önce

Of course this is the fastest way.

ReasonableAssumption 🇨🇦 ❤️ 🇺🇸 profil fotoğrafı
ReasonableAssumption 🇨🇦 ❤️ 🇺🇸8 ay önce

Substitute for y , X=6 therefore Y=7 , that is where the two equations intersect on a Cartesian plane.

Czamba profil fotoğrafı
Czamba8 ay önce

In this kind of systems I usually add a dimmi equazioni Made by the sum or the difference between the previous two in order to have quickly one of the two variable explicited. Then i solve it quickly. Most of the time I can make in in my mind

Wolexydon profil fotoğrafı
Wolexydon8 ay önce

Please how do I make child love mathematics, I have math phobia myself it been a concern for me.

higher-ranking acumen profil fotoğrafı
higher-ranking acumen8 ay önce

This makes me sad where was this guy when I was in school great video. Teachers like this save the world 🌎

Sam profil fotoğrafı
Sam8 ay önce

Yo onk, I saw in a recent video that you made a delineation between multiplier and multiplicand. I've been giving a vocabulary quiz to my students for years where they have to use these words in classic format: x y _______ Would x or y be the multiplier in your opinion?

@Ayomide profil fotoğrafı
@Ayomide8 ay önce

I am so glad I followed you. I will recommend this channel to a lot of people

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A 91-year-old professor is why Nvidia is worth $4 trillion. His name is Gilbert Strang. He teaches linear algebra at MIT. Every AI model on Earth runs on his course. The course has been free on YouTube since 2005. The videos have earned him nothing. MIT 18.06 opens with "The Geometry of Linear Equations." No advanced math. Strang takes a system of two equations, draws it two ways, and shows the class that a matrix is a picture, not an abstraction. The row picture is two lines that cross. The column picture is two arrows that sum to a target. Every neural network on Earth operates on the column picture. Strang first taught linear algebra at MIT in 1962. He wrote the textbook in 1976. It is on every serious engineer's shelf. Every quant fund, every ML lab, every rendering engine at Pixar is running his math. His central insight is that most people are taught matrices as bookkeeping. That is the first thing to unlearn. A matrix is a linear transformation. A linear transformation is a way of moving space. Once you see the space move, the math stops being algebra and becomes geometry. The Kalman filter is a linear system. PCA is a linear system. Every gradient step in a neural net is a matrix-vector product. GPT is a stack of matrix-vector products, each one a scene from MIT 18.06 running on a Blackwell GPU. He retired in 2023 after 61 years at MIT. The course is still up. Watched tens of millions of times. The chip is $40,000. Strang never asked for a royalty.

Ochob

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