Condition for a vector field be non-linear

In summary, the vector field ##\vec{v}## satisfies the differential equation ##\vec{\nabla}\cdot\vec{v}=0## and ##\vec{\nabla}\times\vec{v}=\vec{0}##, and in the Helmholtz decomposition, it can be represented as a combination of a scalar potential, a vector potential, and a harmonic term. The harmonic term can be thought of as a "linear" vector field, but it is only necessary when boundary conditions or decay conditions are not specified.
  • #1
Jhenrique
685
4
If a vector field ##\vec{v}## is non-divergent, so the identity is satisfied: ##\vec{\nabla}\cdot\vec{v}=0##;

if is non-rotational: ##\vec{\nabla}\times\vec{v}=\vec{0}##;

but if is "non-linear"
imagem.png


Which differential equation the vector ##\vec{v}## satisfies?

EDIT: this isn't an arbritrary question, is an important question, because the Helmholtz-Hodge decomposition says that every vector field can be decompost in a divergent vector field + a rotational vector field + a linear vector field.
 
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  • #2
I'm sorry you are not generating any responses at the moment. Is there any additional information you can share with us? Any new findings?
 
  • #3
I have never seen a source that says you have to add a "linear vector field".

http://en.wikipedia.org/wiki/Helmholtz_decomposition

This article seems to not require such a "linear vector field". You have to give some context to the question. Perhaps a source with your statement.
 
  • #4
This question in fact brings up an interesting point about the uniqueness of the Helmholtz theorem which is often omitted. In Helmholtz's original paper on fluid dynamics he does in fact include a third term in the decomposition which he calls a "translation" term. Essentially, what you refer to as the "linear" term in the decomposition results from the fact that unless some boundary conditions or decay conditions are specified, the Helmholtz decomposition is not unique.

The Hodge decomposition theorem says
[tex]

E^p(M)=d(E^{p-1})\oplus \delta(E^{p+1}) \oplus H^p

[/tex]

where [itex] E^p(M) [/itex] is the space of smooth [itex]p[/itex]-forms on the manifold [itex] M [/itex], [itex] d[/itex] is the differential, [itex]\delta=(\pm 1) * d * [/itex] is the codifferential and [itex] H^p [/itex] is the space of all harmonic p-forms (ie. [itex] 0=\Delta\omega=(d\delta+\delta d)\omega [/itex]. ) Then what you are calling a linear vector field is given by the equation [itex] \Delta \omega =0[/itex]. It is straightforward to show, using the fact that [itex] \delta [/itex] is the adjoint of [itex] d[/itex], that [itex] \Delta\omega=0 [/itex] if and only if [itex] d\omega=0[/itex] and [itex] \delta \omega =0 [/itex].

In your specific case, you can phrase this theorem in terms of vector fields (ie. turn the Hodge decomposition into the Helmholtz decomposition) by using the usual identification of vector fields with both one forms and two forms in [itex] \mathbb{R}^3[/itex] (note that we must restrict to bounded domains or forms that decay quickly enough since this is not a compact manifold.) Then [itex] d [/itex] on one forms becomes the curl, [itex] \delta [/itex] on one forms becomes the divergence, [itex] d [/itex] on 0-forms becomes the gradient and [itex] \delta [/itex] on 2-forms is the curl. So the Hodge decomposition becomes exactly the Helmholtz decomposition just with an extra harmonic term added.

Further the harmonic condition [itex] \Delta \omega=0[/itex] translates into the two conditions [itex] \mathrm{div}(\vec V)=0[/itex] and [itex]\mathrm{curl}(\vec{V})=0[/itex] under our identifications. These two conditions define what you mean when you say a "linear" vector field (at least they make the decomposition theorem work.) Note that it is also possible to write this harmonic term as the gradient of a scalar potential or the curl of a vector potential, so the harmonic term kind of gathers together the non-uniqueness of the potentials in the decomposition into a single term.

If you are in infinite space then the decay condition forces the vector field to go to zero at infinity, and this forces the harmonic term to vanish also. However, if you are in a bounded domain, then you can get a nonzero harmonic term and so the Helmholtz decomposition is not unique and boundary conditions are required to uniquely specify a decomposition.

If you want the tl;dr version, the Helmholtz theorem says any vector field on a compact manifold (or a vector field which decays sufficiently rapidly on a noncompact manifold) can be uniquely decomposed as
[tex] \vec W=\nabla\Phi+\mathrm{curl}(\vec A)+\vec Z [/tex]
where [itex] \Phi [/itex] is a scalar potential (ie. a smooth function), [itex] \vec A [/itex] is a vector potential (ie. a vector field or equivalently a two-form) and [itex] \vec Z [/itex] is harmonic (ie. a harmonic one-form which corresponds to a vector field satisfying [itex] \mathrm{curl}(\vec Z)=0=\mathrm{div}(\vec Z). [/itex]) However, when decay conditions are specified, the harmonic term is zero and so this term is omitted when it is understood that the vector field decays at infinity.
 
  • #5


The condition for a vector field to be non-linear is that it does not follow a linear differential equation. This means that the vector field cannot be described by a set of equations that involve only first-order derivatives and have a constant coefficient. Instead, the vector field may involve higher-order derivatives or have a variable coefficient.

In this case, the differential equation that the vector field ##\vec{v}## satisfies is likely a non-linear partial differential equation, as it involves both spatial derivatives (represented by the gradient and curl operators) as well as the vector field itself. The specific form of the equation would depend on the specific properties and behavior of the vector field, and would need to be determined through further analysis or experimentation.
 

FAQ: Condition for a vector field be non-linear

1. What is a vector field?

A vector field is a mathematical concept used in physics and engineering to represent a vector quantity, such as velocity or force, that varies at every point in a given space.

2. How can a vector field be linear or non-linear?

A vector field is considered linear if it follows the principles of superposition and homogeneity, meaning that the effect of multiple inputs can be calculated by adding their individual effects, and scaling the input will result in a proportional change in the output. If these principles do not hold, the vector field is considered non-linear.

3. What is the condition for a vector field to be non-linear?

The condition for a vector field to be non-linear is that it must violate either the principle of superposition or homogeneity. This means that the output of the vector field is not proportional to the input or cannot be calculated by adding the effects of individual inputs.

4. What are some examples of non-linear vector fields?

Some examples of non-linear vector fields include electrostatic fields, gravitational fields, and fluid flow fields. These fields do not follow the principles of superposition or homogeneity, and their effects cannot be calculated by simply adding or scaling individual inputs.

5. Why is it important to identify whether a vector field is linear or non-linear?

Identifying whether a vector field is linear or non-linear is important because it affects how the field can be studied and analyzed. Linear vector fields are easier to solve and understand, while non-linear vector fields can exhibit complex and unpredictable behavior. Understanding the linearity of a vector field is crucial in many fields of science and engineering, including physics, mathematics, and computer science.

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