Linear Algebra 19j: Matrix Representation of a Linear Transformation - Polynomials. https://bit.ly/PG_Patreon - Help me make these videos by supporting me on Patreon!
https://lem.ma/LA - Linear Algebra on Lemma
https://lem.ma/prep - Complete SAT Math Prep
http://bit.ly/ITCYTNew - My Tensor Calculus Textbook
Tags: Linear Algebra 19j: Matrix Representation of a Linear Transformation - Polynomials, Linear Algebra (Field Of Study), Matrix Multiplication (Literature Subject), The Matrix (Award-Winning Work), Vector, Linear Equation (Literature Subject), Linear Space, Linear Systems, Linear Combinations, Eigenvalues, EIgenvectors, Gaussian Elimination, Linearity, Column Space, Null Space, Euclidean Vector, Pavel Grinfeld, Grinfeld, Math, Geometry (Field Of Study), Determinant, System Of Linear Equations, Fibonacci Number (Literature Subject)
Linear Algebra 19j: Matrix Representation of a Linear Transformation - Polynomials
Related Videos
Linear Algebra 19k: Matrix Representation of a Linear Transformation - Vectors in ℝⁿ
https://bit.ly/PG_Patreon - Help me make these videos by supporting me on Patreon! https://lem.ma/LA - Linear Algebra on Lemma https://lem.ma/prep - Complete SAT Math Prep http://bit.ly/ITCYTNew - My Tensor Calculus Textbook...
From MathTheBeautiful
Group Definition (expanded) - Abstract Algebra
The group is the most fundamental object you will study in abstract algebra. Groups generalize a wide variety of mathematical sets: the integers, symmetries of shapes, modular arithmetic, NxM matrices, and much more. After learning about groups in detai...
From Socratica
Abstract vector spaces | Essence of linear algebra, chapter 14
The tools of linear algebra are extremely general, applying not just to the familiar vectors that we picture as arrows in space, but to all sorts of mathematical objects, like functions. This generality is captured with the notion of an abstract vector s...
From 3Blue1Brown
Fourier Series Is Nothing but a Least Squares Problem!
https://bit.ly/PG_Patreon - Help me make these videos by supporting me on Patreon! https://lem.ma/LA - Linear Algebra on Lemma https://lem.ma/prep - Complete SAT Math Prep http://bit.ly/ITCYTNew - My Tensor Calculus Textbook...
From MathTheBeautiful
Essence of linear algebra preview
This introduces the "Essence of linear algebra" series, aimed at animating the geometric intuitions underlying many of the topics taught in a standard linear algebra course. Error corrections: - At one point I mistakenly allude to calculators using the T...
From 3Blue1Brown
Linear Algebra 2i: Polynomials Are Vectors, Too!
https://bit.ly/PG_Patreon - Help me make these videos by supporting me on Patreon! https://lem.ma/LA - Linear Algebra on Lemma https://lem.ma/prep - Complete SAT Math Prep http://bit.ly/ITCYTNew - My Tensor Calculus Textbook...
From MathTheBeautiful
Linear transformations and matrices | Essence of linear algebra, chapter 3
Matrices can be thought of as transforming space, and understanding how this work is crucial for understanding many other ideas that follow in linear algebra. Full series: http://3b1b.co/eola Future series like this are funded by the community, through ...
From 3Blue1Brown
Video about Kernel of a Linear Transformation
Video about Kernel of a Linear Transformation...
From dafdasg1
Linear Transformations: One-One
Linear Algebra: We recall the definition of one-one for functions and apply it to linear transformations. We obtain a simple rule for checking one-one in this case: either the kernel is zero or the associated matrix has a pivot in each column in row ec...
From MathDoctorBob
Linear Algebra Overview
By popular demand, in this video I'm presenting a non-technical overview of some of the main concepts in linear algebra, including systems of equations, matrices, vector spaces/bases, diagonalization, orthogonality, and least-squares. Hopefully it's under...
From Dr. Peyam
Change-of-basis matrices II: Formula and Example
We learn the formula for a change of basis, do an example, and then explore why the formula works....
From Lorenzo Sadun
Sec 4.8 Example 1: Kernel, range, and rank-nullity for a linear transformation
In this video, we explore an example (projection onto the (x,y)-plane) of a linear transformation. We compute the kernel and range. We also find a matrix representation for T and find the null space, nullity, rank, and verify the rank-nullity theorem....
From CBlissMath