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# What is Contravariant and covariant in tensor?

## What is Contravariant and covariant in tensor?

Contravariant tensors are a type of tensor with differing transformation properties, denoted . To turn a contravariant tensor into a covariant tensor (index lowering), use the metric tensor to write. (7) Covariant and contravariant indices can be used simultaneously in a mixed tensor.

## Can we add covariant with Contravariant tensor?

Contravariant indices can be turned into covariant indices by contracting with the metric tensor. The reverse is possible by contracting with the (matrix) inverse of the metric tensor. Note that in general, no such relation exists in spaces not endowed with a metric tensor.

## What is covariant Contravariant?

Covariance and contravariance are terms that refer to the ability to use a more derived type (more specific) or a less derived type (less specific) than originally specified. Generic type parameters support covariance and contravariance to provide greater flexibility in assigning and using generic types.

## What do you mean by Contravariant tensor?

A contravariant tensor is a tensor having specific transformation properties (cf., a covariant tensor). To examine the transformation properties of a contravariant tensor, first consider a tensor of rank 1 (a vector)

## What is the difference between covariant and invariant?

Invariant: Any physical quantity is invariant when its value remains unchanged under coordinate or symmetry transformations. Covariant: The term covariant is usually used when the equations of physical systems are unchanged under coordinate transformations.

## What is meant by covariant?

: varying with something else so as to preserve certain mathematical interrelations.

## What is the symbol of covariant tensor?

Also, the contravariant (covariant) forms of the metric tensor are expressed as the dot product of a pair of contravariant (covariant) basis vectors. Two vectors may be multiplied in the manner of a dot product, which produces a scalar, or in the manner of a cross product that produces another vector.

## What is a tensor in simple terms?

A tensor is a mathematical object. The word tensor comes from the Latin word tendere meaning “to stretch”. A tensor of order zero (zeroth-order tensor) is a scalar (simple number). A tensor of order one (first-order tensor) is a linear map that maps every vector into a scalar. A vector is a tensor of order one.

## How is the covariance and contravariance of a vector obtained?

Covariant and contravariant components of a vector with a metric The contravariant components of a vector are obtained by projecting onto the coordinate axes. The covariant components are obtained by projecting onto the normal lines to the coordinate hyperplanes.

## When was covariance and contravariance introduced in multilinear algebra?

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.

## When to use covariance and contravariance in special relativity?

For use of “covariance” in the context of special relativity, see Lorentz covariance. For other uses of “covariant” or “contravariant”, see Covariance and contravariance (disambiguation). in 3-d general curvilinear coordinates (q1, q2, q3), a tuple of numbers to define a point in a position space.