Riemannian geometry | Differential geometry | Tensors | Vectors (mathematics and physics)

Covariance and contravariance of vectors

In physics, especially in multilinear algebra and tensor analysis, covariance and contravariance describe how the quantitative description of certain geometric or physical entities changes with a change of basis. In modern mathematical notation, the role is sometimes swapped. In physics, a basis is sometimes thought of as a set of reference axes. A change of scale on the reference axes corresponds to a change of units in the problem. For instance, by changing scale from meters to centimeters (that is, dividing the scale of the reference axes by 100), the components of a measured velocity vector are multiplied by 100. A vector changes scale inversely to changes in scale to the reference axes, and consequently is called contravariant. As a result, a vector often has units of distance or distance with other units (as, for example, velocity has units of distance divided by time). In contrast, a covector, also called a dual vector, typically has units of the inverse of distance or the inverse of distance with other units. For example, a gradient which has units of a spatial derivative, or distance−1. The components of a covector changes in the same way as changes to scale of the reference axes, and consequently is called covariant. A third concept related to covariance and contravariance is invariance. An example of a physical observable that does not change with a change of scale on the reference axes is the mass of a particle, which has units of mass (that is, no units of distance). The single, scalar value of mass is independent of changes to the scale of the reference axes and consequently is called invariant. Under more general changes in basis: * A contravariant vector or tangent vector (often abbreviated simply as vector, such as a direction vector or velocity vector) has components that contra-vary with a change of basis to compensate. That is, the matrix that transforms the vector components must be the inverse of the matrix that transforms the basis vectors. The components of vectors (as opposed to those of covectors) are said to be contravariant. Examples of vectors with contravariant components include the position of an object relative to an observer, or any derivative of position with respect to time, including velocity, acceleration, and jerk. In Einstein notation (implicit summation over repeated index), contravariant components are denoted with upper indices as in * A covariant vector or cotangent vector (often abbreviated as covector) has components that co-vary with a change of basis. That is, the components must be transformed by the same matrix as the change of basis matrix. The components of covectors (as opposed to those of vectors) are said to be covariant. Examples of covariant vectors generally appear when taking a gradient of a function. In Einstein notation, covariant components are denoted with lower indices as in Curvilinear coordinate systems, such as cylindrical or spherical coordinates, are often used in physical and geometric problems. Associated with any coordinate system is a natural choice of coordinate basis for vectors based at each point of the space, and covariance and contravariance are particularly important for understanding how the coordinate description of a vector changes by passing from one coordinate system to another. The terms covariant and contravariant were introduced by James Joseph Sylvester in 1851 in the context of associated algebraic forms theory. Tensors are objects in multilinear algebra that can have aspects of both covariance and contravariance. In the lexicon of category theory, covariance and contravariance are properties of functors; unfortunately, it is the lower-index objects (covectors) that generically have pullbacks, which are contravariant, while the upper-index objects (vectors) instead have pushforwards, which are covariant. This terminological conflict may be avoided by calling contravariant functors "cofunctors"—in accord with the "covector" terminology, and continuing the tradition of treating vectors as the concept and covectors as the coconcept. (Wikipedia).

Covariance and contravariance of vectors
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Covariance (1 of 17) What is Covariance? in Relation to Variance and Correlation

Visit http://ilectureonline.com for more math and science lectures! To donate:a http://www.ilectureonline.com/donate https://www.patreon.com/user?u=3236071 We will learn the difference between the variance and the covariance. A variance (s^2) is a measure of how spread out the numbers of

From playlist COVARIANCE AND VARIANCE

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Covariance (6 of 17) Example of the Covariance Matrix - EX 1

Visit http://ilectureonline.com for more math and science lectures! To donate:a http://www.ilectureonline.com/donate https://www.patreon.com/user?u=3236071 We will find the covariance matrix of 2 data sets. Example 1 Next video in this series can be seen at: https://youtu.be/9DscP6F5CGs

From playlist COVARIANCE AND VARIANCE

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Covariance - Explained

This educational video delves into how you quantify a linear statistical relationship between two variables using covariance! #statistics #probability #SoME2 This video gives a visual and intuitive introduction to the covariance, one of the ways we measure a linear statistical relation

From playlist Summer of Math Exposition 2 videos

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Covariance Definition and Example

What is covariance? How do I find it? Step by step example of a solved covariance problem for a sample, along with an explanation of what the results mean and how it compares to correlation. 00:00 Overview 03:01 Positive, Negative, Zero Correlation 03:19 Covariance for a Sample Example

From playlist Correlation

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Covariance (11 of 17) Covariance Matrix with 3 Data Sets (Part 2)

Visit http://ilectureonline.com for more math and science lectures! To donate:a http://www.ilectureonline.com/donate https://www.patreon.com/user?u=3236071 We will find the covariance matrix of 3 data sets. Part 2 Next video in this series can be seen at: https://youtu.be/O5v8ID5Cz_8

From playlist COVARIANCE AND VARIANCE

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The TRUTH about TENSORS, part 5: ... is something that transforms like a tensor

In the longest video of this series (yet), we review contravariant and covariant vectors, and deriving the transformation law for a multi-linear map on a repeated tensor product of a vector space and its dual. Introduction (0:00) Contravariant vectors (1:33) Dual space (10:24) The transfo

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Covariance (5 of 17) What is the Covariance Matrix?

Visit http://ilectureonline.com for more math and science lectures! To donate:a http://www.ilectureonline.com/donate https://www.patreon.com/user?u=3236071 We will learn the covariance matrix is an nxn matrix (where n=number of data sets) such that the diagonal elements represents the va

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Tensor Calculus 4b: Position Vector, Covariant Basis, Covariant Metric Tensor, Contravariant Basis

This course will eventually continue on Patreon at http://bit.ly/PavelPatreon Textbook: http://bit.ly/ITCYTNew Errata: http://bit.ly/ITAErrata McConnell's classic: http://bit.ly/MCTensors Table of Contents of http://bit.ly/ITCYTNew Rules of the Game Coordinate Systems and the Role of Te

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How to find Correlation in Excel 2013

Visit us at http://www.statisticshowto.com for more FREE statistics and Excel videos.

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Tensor Calculus for Physics Ep. 14 | Covariant Curl

Today we derive the expression for curl in a general covariant notation. We do this by promoting vectors to covariant vectors, derivatives to covariant derivatives, and also promote the levi-civita symbol to an actual tensor. This series is based off "Tensor Calculus for Physics" by Dwigh

From playlist New To Tensors? Start Here

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Covariance (14 of 17) Covariance Matrix "Normalized" - Correlation Coefficient

Visit http://ilectureonline.com for more math and science lectures! To donate:a http://www.ilectureonline.com/donate https://www.patreon.com/user?u=3236071 We will find the “normalized” matrix (or the correlation coefficients) from the covariance matrix from the previous video using 3 sa

From playlist COVARIANCE AND VARIANCE

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Tensor Calculus for Physics Ep. 13 | Covariant Divergence (and Laplacian)

Today we generalize the concept of divergence and the laplacian into their covariant forms by substituting the usual del operator with covariant derivatives. We start with a refresher on how covariant and contravariant vectors are related to "ordinary vectors". Once we derive the covariant

From playlist New To Tensors? Start Here

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Tensor Calculus 6b: The Covariant Derivative

This course will eventually continue on Patreon at http://bit.ly/PavelPatreon Textbook: http://bit.ly/ITCYTNew Errata: http://bit.ly/ITAErrata McConnell's classic: http://bit.ly/MCTensors Table of Contents of http://bit.ly/ITCYTNew Rules of the Game Coordinate Systems and the Role of Te

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Tensor Calculus For Physics Ep 8| The Metric pt. 3 |Covariant and Contravariant Vectors

Today I go over converting between vectors and their duals, transformations of covariant tensors, proving the metric is a tensor, covariant/contravariant vectors, tensor algebra, and relating the Jacobian to the metric! For visualizing covariant/contravariant vectors and just a great expl

From playlist New To Tensors? Start Here

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Einstein's General Theory of Relativity | Lecture 4

October 13, 2008, Stanford's Felix Bloch Professor of Physics, Leonard Susskind, discusses covariant and contra variant indices, tensor arithmetic, algebra and calculus, and the geometry of expanding space time. This Stanford Continuing Studies course is the fourth of a six-quarter sequ

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Tensor Calculus 4g: Index Juggling

This course will eventually continue on Patreon at http://bit.ly/PavelPatreon Textbook: http://bit.ly/ITCYTNew Errata: http://bit.ly/ITAErrata McConnell's classic: http://bit.ly/MCTensors Table of Contents of http://bit.ly/ITCYTNew Rules of the Game Coordinate Systems and the Role of Te

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Tensor Calculus 5b: Invariants Are Tensors

This course will eventually continue on Patreon at http://bit.ly/PavelPatreon Textbook: http://bit.ly/ITCYTNew Errata: http://bit.ly/ITAErrata McConnell's classic: http://bit.ly/MCTensors Table of Contents of http://bit.ly/ITCYTNew Rules of the Game Coordinate Systems and the Role of Te

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Covariance (12 of 17) Covariance Matrix wth 3 Data Sets and Correlation Coefficients

Visit http://ilectureonline.com for more math and science lectures! To donate:a http://www.ilectureonline.com/donate https://www.patreon.com/user?u=3236071 We will find the correlation coefficients of the 3 data sets form the previous 2 videos. Next video in this series can be seen at:

From playlist COVARIANCE AND VARIANCE

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Tensor Calculus 4e: Decomposition by Dot Product in Tensor Notation

This course will eventually continue on Patreon at http://bit.ly/PavelPatreon Textbook: http://bit.ly/ITCYTNew Errata: http://bit.ly/ITAErrata McConnell's classic: http://bit.ly/MCTensors Table of Contents of http://bit.ly/ITCYTNew Rules of the Game Coordinate Systems and the Role of Te

From playlist Introduction to Tensor Calculus

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