Articles containing proofs | Linear algebra

Basis (linear algebra)

In mathematics, a set B of vectors in a vector space V is called a basis if every element of V may be written in a unique way as a finite linear combination of elements of B. The coefficients of this linear combination are referred to as components or coordinates of the vector with respect to B. The elements of a basis are called basis vectors. Equivalently, a set B is a basis if its elements are linearly independent and every element of V is a linear combination of elements of B. In other words, a basis is a linearly independent spanning set. A vector space can have several bases; however all the bases have the same number of elements, called the dimension of the vector space. This article deals mainly with finite-dimensional vector spaces. However, many of the principles are also valid for infinite-dimensional vector spaces. (Wikipedia).

Basis (linear algebra)
Video thumbnail

Linear Algebra 4.7 Change of Basis

My notes are available at http://asherbroberts.com/ (so you can write along with me). Elementary Linear Algebra: Applications Version 12th Edition by Howard Anton, Chris Rorres, and Anton Kaul

From playlist Linear Algebra

Video thumbnail

Linear Algebra - Lecture 31 - Coordinate Systems

In this video, I review the definition of basis, and discuss the notion of coordinates of a vector relative to that basis. The properties of a basis of a subspace guarantee that a vector in that subspace can be written as a linear combination of the basis vectors in only one way. The wei

From playlist Linear Algebra Lectures

Video thumbnail

Linear Algebra for Computer Scientists. 7. Linear Combinations of Vectors

This computer science video is one of a series on linear algebra for computer scientists. In this video you will learn about linear combinations of vectors, that is, you will learn how to create new vectors by scaling then adding other vectors together. You will also learn that some sets

From playlist Linear Algebra for Computer Scientists

Video thumbnail

Linear Algebra 4.5 Coordinates and Basis

My notes are available at http://asherbroberts.com/ (so you can write along with me). Elementary Linear Algebra: Applications Version 12th Edition by Howard Anton, Chris Rorres, and Anton Kaul

From playlist Linear Algebra

Video thumbnail

35 - Properties of bases (continued)

Algebra 1M - international Course no. 104016 Dr. Aviv Censor Technion - International school of engineering

From playlist Algebra 1M

Video thumbnail

Bases

Definition of basis, and three important theorems concerning bases.

From playlist Linear Algebra Done Right

Video thumbnail

Every vector is a linear combination of the same n simple vectors!

Learning Objectives: 1) Identify the so called "standard basis" vectors 2) Geometrically express a vector as linear combination of the standard basis vectors 3) Algebraically express a vector as a linear combination of the standard basis vectors 4) Express a vector as a matrix-vector produ

From playlist Linear Algebra (Full Course)

Video thumbnail

The Basis of a Subspace

We've seen before the "standard basis vectors" which both span R^n and are linearly independent. However, these aren't the only sets of vectors that have these two properties. We will define such as a set as being a basis for a given subspace. Learning Objectives: 1) Define a basis. 2) I

From playlist Linear Algebra (Full Course)

Video thumbnail

Linear Algebra Vignette 1a: Matrix Representation of a Linear Transformation

This course is on Lemma: http://lem.ma Lemma looking for developers: http://lem.ma/jobs Other than http://lem.ma, I recommend Strang http://bit.ly/StrangYT, Gelfand http://bit.ly/GelfandYT, and my short book of essays http://bit.ly/HALAYT Questions and comments below will be prompt

From playlist Linear Algebra Vignettes

Video thumbnail

Linear Algebra 19b: Component Spaces - Doing It Right!

https://bit.ly/PavelPatreon https://lem.ma/LA - Linear Algebra on Lemma http://bit.ly/ITCYTNew - Dr. Grinfeld's Tensor Calculus textbook https://lem.ma/prep - Complete SAT Math Prep

From playlist Part 3 Linear Algebra: Linear Transformations

Video thumbnail

Vector Calculus 9: The 3 Definitions of the Dot Product

https://bit.ly/PavelPatreon https://lem.ma/LA - Linear Algebra on Lemma http://bit.ly/ITCYTNew - Dr. Grinfeld's Tensor Calculus textbook https://lem.ma/prep - Complete SAT Math Prep

From playlist Vector Calculus

Video thumbnail

Linear Algebra Vignette 1b: The Dilation Operator (Has Important Applications)

This course is on Lemma: http://lem.ma Lemma looking for developers: http://lem.ma/jobs Other than http://lem.ma, I recommend Strang http://bit.ly/StrangYT, Gelfand http://bit.ly/GelfandYT, and my short book of essays http://bit.ly/HALAYT Questions and comments below will be prompt

From playlist Linear Algebra Vignettes

Video thumbnail

Coordinates with respect to a basis | Linear Algebra | Khan Academy

Courses on Khan Academy are always 100% free. Start practicing—and saving your progress—now: https://www.khanacademy.org/math/linear-algebra/alternate-bases/change-of-basis/v/linear-algebra-coordinates-with-respect-to-a-basis Understanding alternate coordinate systems Watch the next less

From playlist Alternate coordinate systems (bases) | Linear Algebra | Khan Academy

Video thumbnail

Circuits, Graph Theory, and Linear Algebra | #some2

This is a submission for the Summer of Math Exposition #2 by Peter C and Akshay S, who are high school students interested in math. Spiritual enthusiasm result from https://www.youtube.com/watch?v=eyuNrm4VK2w The crux of this video was motivated by Gilbert Strang's textbook on linear alg

From playlist Summer of Math Exposition 2 videos

Video thumbnail

The Gram-Schmidt process | Alternate coordinate systems (bases) | Linear Algebra | Khan Academy

Courses on Khan Academy are always 100% free. Start practicing—and saving your progress—now: https://www.khanacademy.org/math/linear-algebra/alternate-bases/orthonormal-basis/v/linear-algebra-the-gram-schmidt-process Finding an orthonormal basis for a subspace using the Gram-Schmidt Proce

From playlist Alternate coordinate systems (bases) | Linear Algebra | Khan Academy

Video thumbnail

Linear Algebra Vignette 1c: Why It Works

This course is on Lemma: http://lem.ma Lemma looking for developers: http://lem.ma/jobs Other than http://lem.ma, I recommend Strang http://bit.ly/StrangYT, Gelfand http://bit.ly/GelfandYT, and my short book of essays http://bit.ly/HALAYT Questions and comments below will be prompt

From playlist Linear Algebra Vignettes

Video thumbnail

Bases of polynomial spaces | Wild Linear Algebra A 20 | NJ Wildberger

This lecture studies spaces of polynomials from a linear algebra point of view. We are especially interested in useful bases of a four dimensional space like P^3: polynomials of degree three or less. We introduce the standard (or power) basis, also the modified Factorial basis. Translation

From playlist WildLinAlg: A geometric course in Linear Algebra

Video thumbnail

Linear Algebra: Orthonormal Basis

Learn the basics of Linear Algebra with this series from the Worldwide Center of Mathematics. Find more math tutoring and lecture videos on our channel or at http://centerofmath.org/ More on unit vectors: https://www.youtube.com/watch?v=C6EYJVBYXIo

From playlist Basics: Linear Algebra

Video thumbnail

Linear algebra for Quantum Mechanics

Linear algebra is the branch of mathematics concerning linear equations such as. linear functions and their representations in vector spaces and through matrices. In this video you will learn about #linear #algebra that is used frequently in quantum #mechanics or #quantum #physics. ****

From playlist Quantum Physics

Related pages

Polytope | Baire category theorem | Linear span | Vector space | Convex hull | Finite set | Index set | Indeterminate (variable) | Monomial basis | Monomial | Orthogonal basis | Fourier series | Probability density function | Schauder basis | Fourier analysis | Independent and identically distributed random variables | Topological vector space | Zorn's lemma | Linear independence | Projective space | Polynomial | Coordinate vector | Canonical basis | Orientation (vector space) | Banach space | Bernstein polynomial | Total order | Indexed family | Basis of a matroid | Chebyshev polynomials | Polynomial ring | Sequence | Empty set | Polynomial sequence | Dimension (vector space) | Expression (mathematics) | Fréchet space | Cardinal number | Mathematics | Set (mathematics) | Field (mathematics) | Georg Hamel | Dimension theorem for vector spaces | Real number | Standard basis | Probability distribution | Ring (mathematics) | Scalar (mathematics) | Markushevich basis | Linear combination | Subset | Steinitz exchange lemma | Generating set of a module | Hilbert space | Affine space | Complex number | Hilbert basis (linear programming) | Tuple | Ordered pair | Inner product space | Cardinality | Matrix (mathematics) | Abelian group | Convex set | Module (mathematics)