Understanding Scalar Fields: Div, Curl, RotGrad & DivGrad

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Homework Help Overview

The discussion revolves around the properties and operations related to scalar fields in vector calculus, specifically focusing on the terms div(f), curl(f), rotgrad(f), and divgrad(f). Participants are exploring whether these operations can be applied to scalar fields in a manner similar to vector fields.

Discussion Character

  • Conceptual clarification, Assumption checking

Approaches and Questions Raised

  • Participants are questioning the validity of applying divergence and curl to scalar fields, noting that these operations are typically defined for vector fields. There is discussion about the implications of grad(f) being a vector field and the meanings of rotgrad(f) and divgrad(f) in this context.

Discussion Status

The conversation is ongoing, with participants providing insights into the definitions and relationships between the operations. Some have pointed out that certain expressions, like curl(grad(f)), yield zero, while others are exploring the implications of these identities without reaching a consensus.

Contextual Notes

There is a reference to external resources for further clarification, and participants are navigating the complexities of vector calculus identities as they relate to scalar fields.

Engels
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Curl div...

Homework Statement



f is a scalar field. What does div(f) curl(f) rotgrad(f) divgrad(f) stand for?

I need to know if a scalar field can have the meanings of roration and diverge like a vector field
 
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Engels said:

Homework Statement



f is a scalar field. What does div(f) curl(f) rotgrad(f) divgrad(f) stand for?

I need to know if a scalar field can have the meanings of roration and diverge like a vector field
if f is a scalar field, then grad(f) is a vector fields

div(f) makes no sense as f is a scalar, and div operates on vectors , curl(f) doesn't make sense for the same reasons

i'm guess rotgrad(f) = curl(grad(f)) which is ok, though i remember correctly its zero

and divgrad(f) = div(grad(f)) which is ok as well

have a look at this
http://en.wikipedia.org/wiki/Vector_calculus_identities
 
Last edited:


div and curl are only defined for vector fields. grad is only defined for scalar fields.

The result of div is a scalar and the result of grad and curl is a vector. Therefore, these are the second spatial derivatives that you can construct:

[tex] \mathrm{div} (\mathbf{grad} \, \phi) = \nabla^{2} \, \phi[/tex]

[tex] \mathrm{div} (\mathbf{curl} \, \mathbf{A}) = 0[/tex]

[tex] \mathbf{grad} (\mathrm{div} \, \mathbf{A})[/tex]

[tex] \mathbf{curl}(\mathbf{grad} \, \phi) = \mathbf{0}[/tex]
[tex] \mathbf{curl} (\mathbf{curl} \, \mathbf{A}) = \mathbf{grad} (\mathrm{div} \, \mathbf{A}) - \nabla^{2} \, \mathbf{A}[/tex]

where [itex]\nabla^{2}[/itex] stands for the Laplace differential operator (Laplacian).
 


fixed up above - missed the curl(f) bit
 

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