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- 1 298 370
Michael Barrus
United States
เข้าร่วมเมื่อ 16 ต.ค. 2013
Intro to Linear Algebra - A few words on the proof of the Invertible Matrix Theorem (Sec 2.3, B)
Slides for Part B of Sec. 2.3 in the online course MTH 215 (University of Rhode Island), Fall 2024. The author assumes all responsibility for the content.
มุมมอง: 195
วีดีโอ
Intro to Linear Algebra - The Invertible Matrix Theorem (Sec 2.3, A)
มุมมอง 3863 หลายเดือนก่อน
Slides for Part A of Sec. 2.3 in the online course MTH 215 (University of Rhode Island), Fall 2024. The author assumes all responsibility for the content.
Intro to Linear Algebra - Elementary Matrices (Sec 2.2, E)
มุมมอง 1594 หลายเดือนก่อน
Slides for Part E of Sec. 2.2 in the online course MTH 215 (University of Rhode Island), Fall 2024. The author assumes all responsibility for the content.
Intro to Linear Algebra - An Algorithm for Finding Matrix Inverses (Sec 2.2, D)
มุมมอง 1094 หลายเดือนก่อน
Slides for Part D of Sec. 2.2 in the online course MTH 215 (University of Rhode Island), Fall 2024. The author assumes all responsibility for the content.
Intro to Linear Algebra - Four Quick Theorems about Inverses (Sec 2.2, C)
มุมมอง 844 หลายเดือนก่อน
Slides for Part C of Sec. 2.2 in the online course MTH 215 (University of Rhode Island), Fall 2024. The author assumes all responsibility for the content.
Intro to Linear Algebra - The Inverse of a Matrix: the 2-by-2 Case (Sec 2.2, B)
มุมมอง 714 หลายเดือนก่อน
Slides for Part B of Sec. 2.2 in the online course MTH 215 (University of Rhode Island), Fall 2024. The author assumes all responsibility for the content.
Intro to Linear Algebra - You Can’t Divide by 0; or, Can a Matrix Have a Reciprocal? (Sec 2.2, A)
มุมมอง 2055 หลายเดือนก่อน
Slides for Part A of Sec. 2.2 in the online course MTH 215 (University of Rhode Island), Fall 2024. The author assumes all responsibility for the content.
Intro to Linear Algebra - A Quick Foray into Chapter 6-Dot Products of Vectors (Sec 6.1)
มุมมอง 935 หลายเดือนก่อน
Slides for Sec. 6.1 in the online course MTH 215 (University of Rhode Island), Fall 2024. The author assumes all responsibility for the content.
Intro to Linear Algebra - Other Operations: Powers and Transposes (Sec 2.1, D)
มุมมอง 515 หลายเดือนก่อน
Slides for Part D of Sec. 2.1 in the online course MTH 215 (University of Rhode Island), Fall 2024. The author assumes all responsibility for the content.
Intro to Linear Algebra - WARNINGS for Matrix Multiplication (Sec 2.1, C)
มุมมอง 785 หลายเดือนก่อน
Slides for Part C of Sec. 2.1 in the online course MTH 215 (University of Rhode Island), Fall 2024. The author assumes all responsibility for the content.
Intro to Linear Algebra - Introducing Matrix Multiplication (Sec 2.1, B)
มุมมอง 1446 หลายเดือนก่อน
Slides for Part B of Sec. 2.1 in the online course MTH 215 (University of Rhode Island), Fall 2024. The author assumes all responsibility for the content.
Intro to Linear Algebra - Starting Matrix Arithmetic: Sums and Scalar Products (Sec 2.1, A)
มุมมอง 486 หลายเดือนก่อน
Slides for Part A of Sec. 2.1 in the online course MTH 215 (University of Rhode Island), Fall 2024. The author assumes all responsibility for the content.
Intro to Linear Algebra - When Ax=b always has a solution (no matter what b is) (Sec 1.4, B)
มุมมอง 4137 หลายเดือนก่อน
Slides for Part B of Sec. 1.4 in the online course MTH 215 (University of Rhode Island), Fall 2023. The author assumes all responsibility for the content.
Intro to Linear Algebra - Onto and One-to-one Transformations (Sec 1.8-9, D)
มุมมอง 16911 หลายเดือนก่อน
Slides for Part D of Sec. 1.8/1.9 in the online course MTH 215 (University of Rhode Island), Fall 2023. The author assumes all responsibility for the content.
Intro to Linear Algebra - The Matrix of a Linear Transformation (Sec 1.8-9, C)
มุมมอง 186ปีที่แล้ว
Slides for Part C of Sec. 1.8/1.9 in the online course MTH 215 (University of Rhode Island), Fall 2023. The author assumes all responsibility for the content.
Intro to Linear Algebra - Matrix Transformations and Linear Transformations (Sec 1.8-9, B)
มุมมอง 178ปีที่แล้ว
Intro to Linear Algebra - Matrix Transformations and Linear Transformations (Sec 1.8-9, B)
Intro to Linear Algebra - Matrix Multiplication as a Function (Sec 1.8-9, A)
มุมมอง 165ปีที่แล้ว
Intro to Linear Algebra - Matrix Multiplication as a Function (Sec 1.8-9, A)
Intro to Linear Algebra - Why Do We Care about Linear Independence? (Sec 1.7, B)
มุมมอง 157ปีที่แล้ว
Intro to Linear Algebra - Why Do We Care about Linear Independence? (Sec 1.7, B)
Intro to Linear Algebra - Linearly Independent Sets of Vectors (Sec 1.7, A)
มุมมอง 176ปีที่แล้ว
Intro to Linear Algebra - Linearly Independent Sets of Vectors (Sec 1.7, A)
Intro to Linear Algebra - More on Solution Sets to Linear Systems (Sec 1.5, B)
มุมมอง 128ปีที่แล้ว
Intro to Linear Algebra - More on Solution Sets to Linear Systems (Sec 1.5, B)
Intro to Linear Algebra - Homogeneous linear systems (Sec 1.5, A)
มุมมอง 148ปีที่แล้ว
Intro to Linear Algebra - Homogeneous linear systems (Sec 1.5, A)
Intro to Linear Algebra - Another way of computing Ax, plus some properties (Sec 1.4, C)
มุมมอง 154ปีที่แล้ว
Intro to Linear Algebra - Another way of computing Ax, plus some properties (Sec 1.4, C)
Intro to Linear Algebra - The Matrix Equation Ax=b (Sec 1.4, A)
มุมมอง 323ปีที่แล้ว
Intro to Linear Algebra - The Matrix Equation Ax=b (Sec 1.4, A)
Intro to Linear Algebra - Linear Combinations of Vectors (Sec 1.3, B)
มุมมอง 184ปีที่แล้ว
Intro to Linear Algebra - Linear Combinations of Vectors (Sec 1.3, B)
Intro to Linear Algebra - Introducing Vectors in R^n (Sec 1.3, A)
มุมมอง 170ปีที่แล้ว
Intro to Linear Algebra - Introducing Vectors in R^n (Sec 1.3, A)
Intro to Linear Algebra - The Number of Solutions to a Linear System (Sec 1.1-2, C)
มุมมอง 203ปีที่แล้ว
Intro to Linear Algebra - The Number of Solutions to a Linear System (Sec 1.1-2, C)
Intro to Linear Algebra - Solving Linear Systems Using Matrices, part 2 of 2 (Sec 1.1-2, B-ii)
มุมมอง 197ปีที่แล้ว
Intro to Linear Algebra - Solving Linear Systems Using Matrices, part 2 of 2 (Sec 1.1-2, B-ii)
Intro to Linear Algebra - Solving Linear Systems Using Matrices, part 1 of 2 (Sec 1.1-2, B-i)
มุมมอง 226ปีที่แล้ว
Intro to Linear Algebra - Solving Linear Systems Using Matrices, part 1 of 2 (Sec 1.1-2, B-i)
Intro to Linear Algebra - Systems of Linear Equations: First Examples and Vocabulary (Sec 1.1-2, A)
มุมมอง 431ปีที่แล้ว
Intro to Linear Algebra - Systems of Linear Equations: First Examples and Vocabulary (Sec 1.1-2, A)
The Fundamental Theorem of Finite Abelian Groups
มุมมอง 16K4 ปีที่แล้ว
The Fundamental Theorem of Finite Abelian Groups
0:43 just for the sake of it, this is true for all n∈ℤ
First time i have learned this topic. I think most teachers from subcontinent are just crammers Or haven't understood this topic clearly.. I think they must see this vedio
8:10 isn't it x1 + 1 and x4+2 initially so that they become negative on the other side?
Great explanation!
Theorem 0:13 Useful facts 0:53 Example 1 Maclaurin series for f(z)=1/(3+6z)² 5:20 Example 2 expand f(z)=(z-1)/(3-z) around z_0=1 Example 3 obtain the Maclaurin series for f(z)= i/(z-i)(z+2i) 11:56 Example 4 expand ln(1+z) in a Maclaurin series 14:26
Thank you so so much. Group theory is such a hard subject for me.. This might get me the points to pass the exam!
Excellent tutorial. Thanks!
Best introduction on Strong Induction I have seen on TH-cam. Elegantly presented sir.👍
It looks like there is a slight mistake at 29:01, the -10 changes to zero during the R3+R4->R4 operation when it shouldn't. So I think parametric form should look like: x1 = x5 - x3 x2 = x3 - x5 + 10 x3 is free x4 = 10 - x5 x5 is free
@@SylasWojciechowski Nice catch! I'll fix it in a future version.
Very nice explanation Michael! Thank you
proof by induction, is a fraud
Thanks a lot professor for your efforts. I follow you from Algeria.
Why is matrix multiplication defined this way? 😮
Good question. Consider its application in solving systems of linear equations. First, consider an equation of 1 variable, suppose 3*x = 12. To solve this, you multiply both sides by the reciprocal of 3, so that 1/3 * 3 = 1, and you isolate the x. Now you have x=12/3, which is 4. Now consider the higher dimensional systems of equations, and you'll see it is very similar. You construct a matrix equation of a similar form, A*X = B, where A is your square matrix of coefficients, X is your column matrix of variables, and B is your column matrix of RHS constants. To solve this, you left-multiply both sides by the "reciprocal" of matrix A (technically called a multiplicative inverse). This turns A^(-1) * A into the identity matrix, that when multiplied by matrix X, generates X itself. Now we've isolated matrix X, and the remaining product of A^(-1)*B tells you its values. So for a generalized 2x2 example, we'd like to turn the equation: a*x + b*y = e c*x + d*y = f Into A*X = B Where: A =[ a _ b ] _ _ [ c _ d ] X = column matrix [x, y] B = column matrix [e, f] Carry out the matrix multiplication of A*X, rows of A dot product with columns of X, and we get the following column matrix: [ a*x + b*y ] [ c*x + d*y ] Which we can equate to matrix B. As you can see this gives the original system of equations.
His voice is so calming haha
EXCELLENT LECTURE- -WHERE IS RODE ISLAND ? THANK U SIR - AMARJIT -INDIA
perfect video, exactly the level i need. Thanks
🙏🙏
Amazing and clear explanation. Thanks a lot
Thank you!
the parametrizations: z(t) = t-it and z(t) = t+it makes the computation easier. (line y=-x, and line y=x)
Thanks
Injective is dual to surjective synthesizes bijection or isomorphism. Syntax is dual to semantics -- languages, communication. If mathematics is a language then it is dual. "Always two there are" -- Yoda.
Injective is dual to surjective synthesizes bijection or isomorphism. Syntax is dual to semantics -- languages, communication. If mathematics is a language then it is dual. "Always two there are" -- Yoda.
It turns out that in this example partial fraction decomposition provides a simpler path to the solution without the need for an algebraic "trick". Just to be clear, I'm not slamming this approach but this only works if you see the trick. Partial fractions always works but it is not always simpler.
This whole video was analyticawesome!
Can someone tell me where the log(x) of the furthest on the right integral went to?
Thanks, man. This was amazing
amazing teacher
I love you man. You've made this so much more digestible than my book
Thank you... excellent lesson. I understood the parts I didn't understand for days.
man wtf is this topic watched the whole thing and understood absolutely nothing
I have a higher math midterm on Tuesday. You’re a lifesaver!
Do u can write it for a general (x+iy)^(x+iy)
thank you so much
Good work
Adamsn ab 12:06
Hi , am confused , the video is about taylor series but i see Maclaurine series examples
Very helpful video.
Thanks for the video! 😊
Are there practical applications for complex trigonometric functions? I have seen complex numbers used for solving polynomials, analyzing circuits, and harmonic motion; but I've never needed to take the cosine of a complex number.
Listen to what he says between 5:19 and 5:52 Nary a truer word has ever been spoken.
The best math channel on youtube is back!
Superb!!! thank you
Thank you Michael. Great explanation!
Most beautiful
These videos are a great treatment of complex; ideal for somebody like me who's revisiting the subject after many years.
Silly question here. Is the t in Goursat silent?
What amazing explanation. Ty so much
Fantastic!
god bless ya shawty xoxo