What is the Dual Nature of Nabla in Vector Differential Operators?

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SUMMARY

The discussion centers on the dual nature of the nabla operator (∇) in vector differential calculus. Participants clarify that nabla acts as both a vector and a differential operator, producing a vector from a scalar field through the gradient (∇f) and a scalar from a vector field via divergence (∇·A) and curl (∇×A). The dual nature signifies that ∇ can perform operations that yield different types of mathematical objects depending on the context of its application, particularly in non-Cartesian coordinates.

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  • Understanding of vector calculus concepts such as gradient, divergence, and curl.
  • Familiarity with differential operators and their applications in physics and engineering.
  • Knowledge of scalar and vector fields.
  • Basic grasp of coordinate systems, particularly non-Cartesian coordinates.
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  • Learn about the mathematical framework of gradient, divergence, and curl in various coordinate systems.
  • Explore advanced topics in vector calculus, including theorems related to nabla, such as Green's and Stokes' theorems.
  • Read Bernard Maxum's book for a deeper understanding of nabla's dual nature and its implications in different contexts.
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abrowaqas
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I didn't get the concept of dual or hybrid nature of nabla? I-e vector differential operator .. Is it means that nabla can produce a vector from scalar field (gradient) and scalar from vector field(divergence) ? What's the concept of Nabla's Dual nature ? Please explain..
 
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hi abrowaqas! :smile:

∇ behaves just like an ordinary vector …

the vector itself is ∇f (where f is a scalar)​

and you can dot-product it, or cross-product it, with a vector A …

∇.A (divA) or ∇xA (curlA) :wink:
 
If you multiply a vector by a scalar, you get a vector. If you multiply a vector by a vector (dot product) you get a scalar. If you multiply a vector by a vector (cross product), you get vector.

If that vector is "nabla" those three types of "multiplication" become
\nabla f(x,y,z)= grad f(x,y,z)
\nabla\cdot\vec{f}(x,y,z)= div \vec{f}(x, y, z)
\nabla\times\vec{f}(x,y,z)= curl \vec{f}(x, y, z)
 
abrowaqas said:
what this link say about dual nature of nabla? can anybody explain?

http://books.google.com.pk/books?id...a=X&ei=p3g2T8DXJpSIhQe9jKn7AQ&ved=0CDwQ6AEwAg

oh, that's completely different from what i thought you were asking about! :rolleyes:

that book (by bernard maxum) is saying that ∇ is both a vector and a derivative …

in general (not cartesian) coordinates, the simple "dot" and "cross" procedure doesn't work …

that's what it means by the "dual nature" of ∇ :smile:
 
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