Covariant and contravariant vecotr questions

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Homework Help Overview

The discussion revolves around the concepts of covariant and contravariant vectors, particularly focusing on the differences between displacement vectors and gradient vectors. Participants are exploring the definitions and implications of these terms in the context of vector calculus and differential geometry.

Discussion Character

  • Conceptual clarification, Assumption checking

Approaches and Questions Raised

  • Participants are attempting to clarify the definitions of displacement and gradient vectors, with some questioning the terminology used in the original post. There is a discussion about the nature of tangent vectors and how they relate to the gradient of a function.

Discussion Status

The discussion is ongoing, with participants providing insights and seeking further clarification on the terms and concepts involved. Some guidance has been offered regarding the definitions of tangent vectors and the gradient in different contexts, but no consensus has been reached on the terminology.

Contextual Notes

There appears to be some confusion regarding the standard terminology used in the discussion, particularly around the term "gradient vector." Participants are also considering the implications of working within different mathematical frameworks, such as ##\mathbb R^n## versus arbitrary smooth manifolds.

drlang
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Hi

I am trying to learn about covariant and contravariant vectors and derivatives. The videos I have been watching talk about displacement vector as the basis for contravariant vectors and gradient as the basis for covariant vectors. Can someone tlel me the difference between displacemement and gradient vectors?
 
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This post and the ones linked to at the end explain some of what you need to know.

The term "displacement vector" doesn't make much sense to me. They are tangent vectors, nothing more, nothing less.
 
Hi Fredrik

I am using the terms he used.

Can you clarify the difference between tangent vector and gradient vector. Maybe that would help me.
 
I don't think "gradient vector" is a standard term, and I'm not sure what they mean by it. The gradient of a real-valued function f is defined as the tangent vector field with components ##\frac{\partial f}{\partial x^i}##, if we're talking about functions defined on ##\mathbb R^n##. So maybe that's what they mean. If we're talking about some arbitrary smooth manifold with a metric, then the gradient is defined as the vector field with components ##g^{ij}\frac{\partial f}{\partial x^j}##, where the ##g^{ij}## are the components of the inverse of the matrix of components of the metric, and the partial derivatives with respect to a coordinate system x are defined in one of the posts I linked to.

If you're only concerned with ##\mathbb R^n##, and not arbitrary smooth manifolds with metrics, then some things get simpler, but I still think it's worth the time read the posts I linked to, because they will make it easier to understand the terminology, and what's really going on in some definitions and calculations.
 

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