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This is to Define the coordinate on curvilinear basis, and the direction of [itex]\hat{e}_j[/itex] .vanhees71 said:The idea is to use Gauß's Integral Theorem to an infinitesimal box spanned by the coordinate lines of your orthogonal curvilinear coordinates. It's a little cuboid with 6 surfaces giving the boundary of the volume, and you have to approximately evaluate the surface integral.
To that end we must remember the definition of the basis vectors. Let [itex](q_1,q_2,q_3)[/itex] be the coordinates and [itex]\vec{r}(q_1,q_2,q_3)[/itex] the position vector as functions of them. Then the unit-basis vectors are defined by
[tex]\hat{e}_j=\frac{1}{h_j} \frac{\partial \vec{r}}{\partial q_j}.[/tex]
Since the coordinates are assumed to be orthogonal this means that [itex]\hat{e}_j \cdot \hat{e}_k = \delta_{jk}[/itex]. Also we assume that the order of the coordinates are chosen such that the [itex]\hat{e}_j[/itex] build a postively oriented basis, i.e., [itex]\hat{e}_1 \times \hat{e}_2=\hat{e}_3[/itex].
The surface-normal vector dF is the value of surface area with direction pointing to the direction ei. ?vanhees71 said:Now the surface-normal vectors of your cuboid are easily determined. Take the surface parallel to the [itex]q_2 q_3[/itex]-plane at [itex]q_1+\mathrm{d} q_1[/itex]. The surface-normal vector is
[tex]\mathrm{d} \vec{F}=\mathrm{d} q_2 \mathrm{d} q_3 \left . \left (\frac{\partial \vec{r}}{\partial q_2} \times \frac{\partial \vec{r}}{\partial q_3} \right ) \right |_{q_1+\mathrm{d} q_1,q_2,q_3} = \mathrm{d} q_2 \mathrm{d} q_3 (h_2 h_3 \hat{e}_2 \times \hat{e}_3) = \mathrm{d} q_2 \mathrm{d} q_3 (h_2 h_3 \hat{e}_1)_{q_1+\mathrm{d} q_1,q_2,q_3}.[/tex]
The corresponding contribution to the surface integral thus reads
[tex]\mathrm{d} q_2 \mathrm{d} q_3 (h_2 h_3 a_1)|_{q_1+\mathrm{d} q_1,q_2,q_3} = \mathrm{d} q_2 \mathrm{d} q_3 \left [(h_2 h_3 a_1)|_{q_1,q_2,q_3} + \mathrm{d} q_1 \left . \left ( \frac{\partial(h_2 h_3 a_1)}{\partial q_1} \right ) \right |_{q_1,q_2,q_3} + \mathcal{O}(\mathrm{d} q_1^2) \right ].[/tex]
vanhees71 said:[itex]q_2 q_3[/itex]-plane at [itex]q_1+\mathrm{d} q_1[/itex]. The surface-normal vector is
[tex]\mathrm{d} \vec{F}=\mathrm{d} q_2 \mathrm{d} q_3 \left . \left (\frac{\partial \vec{r}}{\partial q_2} \times \frac{\partial \vec{r}}{\partial q_3} \right ) \right |_{q_1+\mathrm{d} q_1,q_2,q_3} = \mathrm{d} q_2 \mathrm{d} q_3 (h_2 h_3 \hat{e}_2 \times \hat{e}_3) [/tex]
The divergence formula is a mathematical expression used to calculate the tendency of a vector field to either converge or diverge at a specific point. It is represented by the symbol ∇ · F, where ∇ is the del operator and F is the vector field.
The divergence formula is important because it helps us to understand the behavior of vector fields in both 2D and 3D space. It is used in various fields such as fluid dynamics, electromagnetism, and quantum mechanics to analyze the flow of fluids, electric and magnetic fields, and the behavior of particles.
The divergence formula is derived from the fundamental theorem of calculus, which states that the integral of a function over a closed surface is equal to the integral of its derivative over the volume enclosed by that surface. By applying this theorem to a vector field, we can derive the divergence formula.
The divergence formula has various applications in physics and engineering. It is used to calculate the flux of a vector field across a surface, which is essential in fluid dynamics and electromagnetism. It is also used to solve differential equations and to analyze the behavior of particles in quantum mechanics.
Yes, there are some limitations to the divergence formula. It can only be applied to continuous vector fields, and it does not work for vector fields that are not defined everywhere. It also does not take into account the direction of the vector field, only its magnitude. Additionally, it is not valid for non-Euclidean spaces.