Solving Constant Magnetic Field Vector Problem: Annoying Vectors

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Homework Help Overview

The discussion revolves around a problem involving a constant magnetic field vector \(\vec{B}\) and its mathematical implications in vector calculus, particularly focusing on the curl of the cross product and the behavior of gradients in this context.

Discussion Character

  • Conceptual clarification, Mathematical reasoning, Assumption checking

Approaches and Questions Raised

  • Participants explore the mathematical expression for the curl of a cross product involving a constant magnetic field and question how certain terms can be simplified or eliminated. There is a focus on the implications of taking gradients of vector fields and the use of index notation.

Discussion Status

The discussion is active with participants providing insights and questioning each other's reasoning. Some guidance has been offered regarding the gradient of constant vector fields, but there remains uncertainty about the implications of certain terms and the application of Einstein summation convention.

Contextual Notes

Participants are navigating the complexities of vector calculus and the specific properties of constant fields, with some expressing confusion over the mathematical treatment of gradients and derivatives in this context.

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for a constant magnetic field [itex]\vec{B}[/itex] everywhere, [itex]\vec{A}=\frac{1}{2} \vec{B} \times \vec{r}[/itex]

because (im not going to use vector notation to save time)

[itex]\nabla \times (B \times r)= (\nabla \cdot r)B + (r \cdot \nabla)B - (\nabla \cdot B)r - (B \cdot \nabla)r[/itex]

the first term gives 3B
the third term vanishes
the fourht term gives -B
so to get the answer i need the second term to vanish but i can't get it to go away - how do i do this?
 
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The second term vanishes because the gradient of a constant vector field is zero. None of the components are changing, so their space derivatives and hence the gradient is zero.
 
Last edited:
how can you take the gradient of a vector - you need index notation yes?

consider [itex](m \cdot \nabla)r[/itex]
is this just [itex]m_j \partial_j r_i=m_i[/itex]
 
The gradient of a vector (a,b,c) just (grad a, grad b, grad c).
 
but [itex]\nabla \phi=(\frac{\partial \phi}{\partial x},\frac{\partial \phi}{\partial y},\frac{\partial \phi}{\partial z})[/itex] so doesn't that give us a nine component vector - is that just a tensor?

e.g. [itex]\partial_i r_j =\delta_{ij}[/itex]?
 
Sorry, I misread the equation. The second term is [tex](r\cdot\nabla) B[/tex], which is

[tex]\sum_{i = 1}^3 (r_x \partial_x + r_y \partial_y + r_z \partial_z) B_i \mathbf{e}_i[/tex]
 
how is that 0 though?

why can't this be done using eisntein summation convention i.e.
[itex]r_j \partial_j B_i=...[/itex] i can't get it to go any further?
 
The derivatives of [tex]B_i[/tex] are zero, so what you just wrote must be zero.
 

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