[SKKU Linear Algebra 선형대수학]

              http://matrix.skku.ac.kr/SKKU-LA/


                     by  Sang-Gu Lee  http://matrix.skku.ac.kr/sglee/


       

 

       http://matrix.skku.ac.kr/LA-K/  (한국어)

       http://matrix.skku.ac.kr/LA/  (영어)



 **** 선형대수학 우리말 강의 (동영상) ****

    

     [Linear Algebra. Korean]


(디지털 교과서)  http://matrix.skku.ac.kr/LA-K/


PBL - Flipped Learning   http://youtu.be/Mxp1e2Zzg-A  

Lecture 1 Introduction     http://youtu.be/w7IzR4nGa3Q  

(전자 교과서)  http://matrix.skku.ac.kr/2015-Album/Big-Book-LinearAlgebra-Eng-2015.pdf


[Linear Algebra Syllabus (선형대수학 수업계획서)]

http://matrix.skku.ac.kr/2017-Album/LA-syllabus.htm  


[실습실]

Manual    http://matrix.skku.ac.kr/Lab-Book/Sage-Lab-Manual-2.htm

Linear Algebra Simulatihttp://matrix.skku.ac.kr/LinearAlgebra.htm


Chapter 1. Vectors 

1.1 벡터 and 1.2 내적  http://youtu.be/aeLVQoPQMpE  

1.3 벡터방정식         http://youtu.be/4UGACWyWOgA  

http://matrix.skku.ac.kr/2018-album/LA-Sec-1-1-lab.html 

http://matrix.skku.ac.kr/2018-album/LA-Sec-1-2-lab.html 

http://matrix.skku.ac.kr/2018-album/LA-Sec-1-3-lab.html 


Chapter 2. Linear system of equations

2.1 선형연립방정식  http://youtu.be/CiLn1F2pmvY 

2.2 Gauss-Jordan 소거법  http://youtu.be/jnC66zvqHJI 

http://matrix.skku.ac.kr/2018-album/LA-Sec-2-1-lab.html 

http://matrix.skku.ac.kr/2018-album/LA-Sec-2-2-lab.html 


Chapter 3. Matrix and Matrix Algebra

3.1 행렬연산  http://youtu.be/DmtMvQR7cwA 

3.2, 3.3 역행렬과 기본행렬  http://youtu.be/GCKM2VlU7bw  

3.4 부분공간  http://youtu.be/HFq_-8B47xM 

3.5 해공간  3.6 특수행렬   http://youtu.be/daIxHJBHL_g  

http://matrix.skku.ac.kr/2018-album/LA-Sec-3-1-lab.html 

http://matrix.skku.ac.kr/2018-album/LA-Sec-3-2-lab.html 

http://matrix.skku.ac.kr/2018-album/LA-Sec-3-3-lab.html 

http://matrix.skku.ac.kr/2018-album/LA-Sec-3-4-lab.html 

http://matrix.skku.ac.kr/2018-album/LA-Sec-3-5-lab.html 

http://matrix.skku.ac.kr/2018-album/LA-Sec-3-6-lab.html 


Chapter 4. Determinant

4.1 행렬식  http://youtu.be/DM-q2ZuQtI0 

4.2 여인자 전개와 역행렬  http://youtu.be/XPCD0ZYoH5I 

4.3 크래머의 법칙 4.4. Appl, 4.5 고유값, 고유벡터http://youtu.be/OImrmmWXuvU 

http://matrix.skku.ac.kr/2018-album/LA-Sec-4-1-lab.html 

http://matrix.skku.ac.kr/2018-album/LA-Sec-4-2-lab.html 

http://matrix.skku.ac.kr/2018-album/LA-Sec-4-5-lab.html 


Chapter 6. Linear Transformations

6.1 선형변환  http://youtu.be/YF6-ENHfI6E 

6.2 선형변환의 기하학적 의미  http://youtu.be/cgySDj-OVlM 

6.3 핵과 치역  http://youtu.be/9YciT9Bb2B0

6.4 선형변한의 합성과 역행렬  http://youtu.be/EOlq4LouGao 

http://matrix.skku.ac.kr/2018-album/LA-Sec-6-1-lab.html 

http://matrix.skku.ac.kr/2018-album/LA-Sec-6-2-lab.html 

http://matrix.skku.ac.kr/2018-album/LA-Sec-6-3-lab.html 

http://matrix.skku.ac.kr/2018-album/LA-Sec-6-4-lab.html 


  LA Midterm Exam  http://youtu.be/R3F3VNGH8Oo   


Chapter 7. Dimension and Subspaces 

7.1 기저와 차원  http://youtu.be/or9c97J3Uk0 

7.2 주요 부분공간들  https://youtu.be/BC9qeR0JWis 

7.3 Rank Nullity Theorem  http://youtu.be/ez7_JYRGsb4 

7.4 계수정리  http://youtu.be/P4cmhZ3X7LY 

7.5 정사영정리  http://youtu.be/GlcA4l8SmlM 

7.6* 최소제곱해 https://youtu.be/BC9qeR0JWis

7.7 Gram-Schmidt의 정규직교화과정  http://youtu.be/gt4-EuXvx1Y  

7.8* QR-분해, Householder transformations   https://youtu.be/crMXPi2lgGs

7.9 좌표벡터  http://youtu.be/M4peLF7Xur0

http://matrix.skku.ac.kr/2018-album/LA-Sec-7-1-lab.html 

http://matrix.skku.ac.kr/2018-album/LA-Sec-7-2-lab.html 

http://matrix.skku.ac.kr/2018-album/LA-Sec-7-3-lab.html 

http://matrix.skku.ac.kr/2018-album/LA-Sec-7-4-lab.html 

http://matrix.skku.ac.kr/2018-album/LA-Sec-7-7-lab.html 

http://matrix.skku.ac.kr/2018-album/LA-Sec-7-9-lab.html 


Chapter 8. Diagonalization

8.1 선형변환의 행렬표현    http://youtu.be/gn5ve1tXD7k 

                           http://youtu.be/jfMcPoso6g4  

8.2 닮음과 행렬의 대각화  http://youtu.be/xirjNZ40kRk 

8.3 직교대각화             http://youtu.be/jimlkBGAZfQ  

8.4 이차형식  http://youtu.be/vWzHWEhAd-k 

   Quadratic Form http://matrix.skku.ac.kr/2014-Album/Quadratic-form/ 

8.5* Appl of Quadratic Function  http://youtu.be/cOW9qT64e0g  

8.6 Singular Value Decomposition  https://youtu.be/ejCge6Zjf1M 

8.7 and 8.8 복소고유값, 복소고유벡터, 정규행렬  http://youtu.be/8_uNVj_OIAk  

http://matrix.skku.ac.kr/2018-album/LA-Sec-8-1-lab.html 

http://matrix.skku.ac.kr/2018-album/LA-Sec-8-2-lab.html 

http://matrix.skku.ac.kr/2018-album/LA-Sec-8-3-lab.html 

http://matrix.skku.ac.kr/2018-album/LA-Sec-8-8-lab.html 


Chapter 9. General Vector Spaces 

9.1 and 9-2 일반벡터공간, 내적공간  http://youtu.be/m9ru-F7EvNg  

9.3 동형사상   http://youtu.be/frOcceYb2fc 

 http://matrix.skku.ac.kr/2018-album/LA-Sec-9-1-lab.html 

 http://matrix.skku.ac.kr/2018-album/LA-Sec-9-3-lab.html


Chapter 10. Jordan Canonical Form

10.1 Jordan 표준형  http://youtu.be/NBLZPcWRHYI 

10.3  Jordan Canonical Form with Sage  http://youtu.be/LxY6RcNTEE0 

JCF Project http://matrix.skku.ac.kr/JCF/

Jordan Canonical Forms http://matrix.skku.ac.kr/2008-talks/2008-MA-2008-Ch3.html ,
Generalized Eigenvector JCF - Minimal Polynomial - Canonical Forms
           http://matrix.skku.ac.kr/sglee/03-Note/GeneralizedEV-f.pdf  



(15 주차)  복습과 프로젝트 발표

 Math, Art and 3D Printing  http://youtu.be/olTfft1cuGw  

 PBL 보고서 by 김병찬 &우시명  http://youtu.be/hUDuQ8e8HsU  

             by 손홍철  http://youtu.be/woyS_EYWiDs  

             by  박민  http://youtu.be/E-5m65-8Ea8 

             by 전승준  http://youtu.be/JHT6aTQhr-A 

             by 김태용, 이학현, 이종화  http://youtu.be/JFVM4KRr2nc  


 (16주차) 기말고사  

  http://matrix.skku.ac.kr/2015-Album/CLA-Final-Sample-Exam.pdf 



***** Linear Algebra (English)  *****


  http://matrix.skku.ac.kr/LA/  

     (Linear Algebra Lecture Note in English)


[Linear Algebra, English] 선형대수학 국제어 강의


Linear Algebra, First Class, Syllabus-Review  https://youtu.be/43nhECDzfiE 

(English Textbook)  http://goo.gl/t3JcNP  (전자 교과서)


[Lectures Recorded]

http://matrix.skku.ac.kr/2017-Album/2017-Spring-Lectures.htm

http://matrix.skku.ac.kr/2015-LA-FL/Linear-Algebra-Flipped-Class-SKKU.htm 


Linear Algebra Lecture Note (Korean) http://matrix.skku.ac.kr/LA-K/ 


Chapter 1. Vectors 

*1.1 Vectors in n-space and *1.2 Inner product and Orthogonality

https://youtu.be/f6eKIuLE-Ko

1.3  Vector Equations of lines and planes  https://youtu.be/MR1md8R1T_g


Chapter 2. Linear system of equations

2.1 Linear System of Equations, https://youtu.be/JbfSo5G6JR0

    Review  https://youtu.be/nhYG5uuGHqU

2.2 Gaussian and Gauss-Jordan elimination, https://youtu.be/ySncbrZTdMk

2.2–2.3 Exercise https://youtu.be/ySncbrZTdMk  https://youtu.be/khbfoZBFfvA

2.4  Exercises, https://youtu.be/khbfoZBFfvA


Chapter 3. Matrix and Matrix Algebra

3.1 Matrix operation https://youtu.be/rDt3EOGl9lg

3.2 Inverse matrix https://youtu.be/o2iT6ZT5WIU

3.3 Elementary matrix  https://youtu.be/DubGO81dTAI

3.4 (part 1) Subspace  https://youtu.be/gNm7yzk8ess

3.4 (part 2) Linear independence https://youtu.be/LswYaDbj4ds 

3.5 Solution set of a linear system and matrix https://youtu.be/7zZDGgPGE4s

3.6 Special matrices and Sec 3.8  Exs/Sol https://youtu.be/gve7cYW3W9I

*3.7 LU-decomposition  http://youtu.be/lKJPnLCiAVU

  Student Review : Ch3-Ch2-Ch1   https://youtu.be/m4ZEHknJMZY


Chapter 4. Determinant

4.1 Definition and Properties of the Determinants  https://youtu.be/ltxi0hCUILg

4.2 Cofactor Expansion/ Appl of Determinants https://youtu.be/Yn5qu_062sA

4.3 Cramer's Rule https://youtu.be/rAmfnERqfU8

*4.4 Application of Determinant  https://youtu.be/APsZ33BBOVs

4.5 Eigenvalues/Eigenvectors &4.6 Excercise https://youtu.be/s1OI74nr660 


Chapter 5. Matrix Model 

5.1 Lights out Game http://youtu.be/_bS33Ifa29s

5.2 Power Method  http://youtu.be/CLxjkZuNJXw

5.3 Linear Model (Google) http://youtu.be/WNUoXLh8i_E

    Project: http://youtu.be/coNq48CW6Pg 

   - Ch 5 Matrix Model 학생 발표 https://youtu.be/4u9LtmX7lvk 


Chapter 6. Linear Transformations

6.1 Matrix as a Function (Transformation)  https://youtu.be/Es4BfHnIq7g

6.2 Geometric Meaning of LT (part 1) https://youtu.be/V6m0PKQm6es

    (part 2) https://youtu.be/qeRmhJQIphI  

6.3 Kernel and Range  https://youtu.be/7OfNTNl6IjI

6.4 Composition of LT and Invertibility   https://youtu.be/Im7uaogKySw  

*6.5 Computer Graphics with Sage  https://youtu.be/45zSkGN7inw

6.6 Exercises  https://youtu.be/pJgIaHpIhsM


Chapter 6. QnA Review https://youtu.be/snQsn2J_tuA  

  LA Midterm PBL 1 Presentation https://youtu.be/WG-HFdER5Ro  

  LA PBL and Ch6 and Ch4 Student Review https://youtu.be/xq4YyRtzTKg

      http://matrix.skku.ac.kr/2016-album/LA-Sol-Ch-1-2-3-4-6/index.html 

      http://matrix.skku.ac.kr/LA-Lab/Solution/ 

      http://matrix.skku.ac.kr/2016-album/LA-Main-Theorems/index.html 

 Sample Midterm Examhttp://matrix.skku.ac.kr/LA/2016-S-LA-Midterm-Final-Solution.pdf


LA Midterm Exam 

 http://matrix.skku.ac.kr/2017-Album/2017-S-LA-Midterm-Exam-Final-3.pdf

 LA Midterm Exam Sol 

 http://matrix.skku.ac.kr/2017-Album/2017-S-LA-Midterm-Exam-Solution-Final3.pdf

 LA Midterm Exam Sol 

 http://matrix.skku.ac.kr/2017-Album/LA-Midterm-Exam-Solution.htm  (image)

 2017 Spring LA Midterm Exam Review https://youtu.be/DOhahD4Nb44


Chapter 7. Dimension and Subspaces 

7.1 and 7.2 (Review)  Bases and dimensions, Basic spaces  

https://youtu.be/45J08qGSzmk

7.3,7.4, 7.5, Rank-Nullity theorem, Rank theorem, Projection theorem 

             https://youtu.be/WytZezfNAiI

*7.6 Least square solution  https://youtu.be/GwHh5lh5wEs

 Grade/QnA/ Review: https://youtu.be/eEAHVs351u8  

7.7 Gram-Schmidt orthonormalization process  https://youtu.be/Px6Gaks9fXQ

* 7.8 QR-Decomposition; Householder

   https://youtu.be/gQ7gxTx5f9k 

7.9 Coordinate vectors  https://youtu.be/VR9FoZDQmAo


Chapter 8. Diagonalization

8.1 Matrix Representation of LT  https://youtu.be/LpIR47W_stw

8.2 Similarity and Diagonalization  https://youtu.be/wqrLcfSeL8Q

8.3 Diagonalization with orthogonal matrix  https://youtu.be/5Sg-Edczw_g  

8.4 Quadratic forms and Sec *8.5 Appl.  https://youtu.be/mjAr3ddevE8  

8.6 SVD and Pseudo-Inverse  https://youtu.be/KU5l-XWDJuo   

8.7 Complex eigenvalues and eigenvectors  https://youtu.be/-l7uTfYHjFU

8.8 Hermitian, Unitary, Normal Matrices  https://youtu.be/NRTmmmC-L9k

*8.9 Linear system of differential equations 

http://www.hanbit.co.kr/EM/sage/1_chap6.html 

https://youtu.be/9IeskMZ_hn4


Chapter 9. General Vector Spaces 

9.1 Axioms of Vector Space, https://youtu.be/RnKjspG65AM

9.2 Inner product spaces; *Fourier Series, https://youtu.be/J0s8AkP4E38

9.3 Isomorphism, https://youtu.be/WiZZtF0c1hY


Chapter 10. Jordan Canonical Form

10.1 Finding the Jordan Canonical Form with a Dot Diagram

https://youtu.be/8fwPPOg8LW0   https://youtu.be/1E3wXN1oZyc

*10.2 Jordan Canonical Form and Generalized Eigenvectors, 

https://youtu.be/YrRnCByzxNM    https://youtu.be/yJ7n0icjtNA

https://youtu.be/lK4_Kp6P_N4

10.3 Jordan Canonical Form and CAS, https://youtu.be/YrRnCByzxNM  

http://youtu.be/LxY6RcNTEE0

 학생 문제 풀이, https://youtu.be/y4173MpjoxE   http://youtu.be/9-G3Fd2xOW0 Chapter 10 http://www.youtube.com/watch?v=adWzUKKmO2k


Copyright @ 2020 SKKU Matrix Lab. All rights reserved.
Made by Manager: Prof. 
Sang-Gu Lee and Dr. Jae Hwa Lee  & 김응 기  http://matrix.skku.ac.kr/sglee/ and http://matrix.skku.ac.kr/cal-book/


*This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (2017R1D1A1B03035865