Help understanding the Del operator

In summary, the engineering major is struggling with basic mathematics and needs help understanding the Navier Stokes equations. He feels like he never really learned them and needs a good explanation.
  • #1
Dawei
30
0
I'm an engineering major taking an advanced level physics class. I realize that I really have no clue when it comes to basic mathematics, and it is extremely frustrating. I always just learned *how* to solve equations, never what I was actually doing.

For example the del operator. What exactly does this mean?
762462cbd19e9bf6d392e1d5636193d7.png


And what is the logic for turning it into this?
b0b2b5bd171ad8bf9b83fb3bf723bdb6.png


I feel like I just really need a good lesson starting with the very basics. I have no "feel" for what half of the symbols that I'm using mean.

I need to really understand and use the Navier Stokes equations for my job, and it's just killing me. Every time I try to look up a word or symbol I don't know, the explanation of it ends up having like 3 or 4 more words or symbols in it that I don't know. I took calc 1-3 and diff eq, did well in the classes, so it's extremely frustrating now to feel like I never actually learned anything, just sort of how to find patterns and solve homework problems...

Can anyone recommend a good explanation of the Navier Stokes equations for me?
 
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  • #3
In Cartesian coordinates [itex]]\nabla[/itex] is the differential operator
[tex]\frac{\partial}{\partial x}\vec{i}+ \frac{\partial}{\partial y}\vec{j}+ \frac{\partial}{\partial x}\vec{k}[/tex].

Written that way, not applied to anything, it is not a true "vector", just a symbol, but applied to various kinds of functions, it can be thought of as a vector.

For example, if f(x,y,z) is a scalar valued function we can think of [itex]\nabla f[/itex], also called "grad f" or "gradient of f", as a vector times a scalar- the scalar "multiplies" each part of the vector:
[tex]\nabla f= \frac{\partial f}{\partial x}\vec{i}+ \frac{\partial f}{\partial y}\vec{j}+ \frac{\partial f}\partial z}\vec{k}[/tex].

If [itex]\vec{F}(x,y,z) [/itex]is a vector function, say, [itex]\vec{F}(x,y,z)= f(x,y,z)\vec{i}+ g(x,y,z)\vec{j}+ h(x,y,z)\vec{k}[/itex] then we can think in terms of the "dot product" or "cross productZ".

Thinking of "dot product" we have [itex]\nabla\cdot\vec{F}(x,y,z)[/itex], also called "div [itex]\vec{F}[/itex]" or "the divergence of [itex]\vec{F}[/itex]", equal to
[tex]\frac{\partial f}{\partial x}+ \frac{\partial g}{\partial y}+ \frac{\partial h}{\partial z}[/tex].

Thinking of the "cross product" we have [itex]\nabla\times\vec{F}(x,y,z)[/itex], also called "[itex]curl \vec{F}[/itex]" or " curl of [itex]\vec{F}[/itex], equal to
[tex]\left(\frac{\partial h}{\partial y}- \frac{\partial g}{\partial z}\right)\vec{i}- \left(\frac{\partial h}{\partial x}- \frac{\partial f}{\partial z}\right)\vec{j}+ \left(\frac{\partial g}{\partial x}- \frac{\partial f}{\partial y}\right)\vec{k}[/tex]

Now, let's look at
[tex]\frac{\partial\rho}{\partial t}+ \nabla\cdot(\rho\vec{u})= 0[/tex]

Take [itex]\vec{u}= f\vec{i}+ g\vec{j}+ h\vec{k}[/itex] so that [itex]\rho\vec{u}= \rho f\vec{i}+ \rho\ g\vec{j}+ \rho h\vec{k}[/itex] and
[tex]\nabla\cdot(\rho\vec{u})= \frac{\partial(\rho f)}{\partial x}+ \frac{\partial(\rho g)}{\partial y}+ \frac{\partial(\rho h)}{\partial z}[/tex]

By the product rule, each of those is
[tex]\frac{\partial\rho}{\partial x}f+ \rho \frac{\partial f}{\partial x}[/tex]
[tex]\frac{\partial\rho}{\partial y}g+ \rho \frac{\partial g}{\partial y}[/tex]
[tex]\frac{\partial\rho}{\partial z}h+ \rho \frac{\partial h}{\partial z}[/tex]

We can write their sum as
[tex]\frac{\partial\rho}{\partial x}f+ \frac{\partial\rho}{\partial y}g+ \frac{\partial\rho}{\partial z}h[/tex]
[tex]+ \rho \frac{\partial f}{\partial x}+ \rho\frac{\partial g}{\partial y}+ \rho\frac{\partial h}{\partial z}[/tex]

[tex]= \nabla\rho\cdot \vec{u}+ \rho\nabla\cdot\vec{u}[/tex]

Now, you will also need to know what
[tex]\frac{D\rho}{Dt}[/tex] means. It is NOT just the derivative accidently written with "D" rather than "d". It is the rate of change as we move with the flow. Instead of sticking a, say, thermometer into water and measuring the temperature and rate of change of temperature at that point, we attach it to a float and let float down the stream, measuring the termperature and rate of change of temperature of a little "piece" or water as it flows down the stream.

Specifially, if F(x,y,z, t) is a function of the three space variables and time,
[tex]\frac{DF}{DT}= \frac{\partial F}{\partial t}+ \nabla F\cdot\vec{v}[/tex]
where "[itex]\vec{v}[itex]" is the velocity vector of the water.

Well, you can see that
[tex]\frac{\partial\rho}{\partial t}+ \nabla\cdot(\rho\vec{u})[/tex]
becomes
[tex]\frac{\partial\rho}{\partial t}+ (\nabla\rho\cdot \vec{u}+ \rho(\nabla\cdot\vec{u}))[/tex]
[tex]=(\frac{\partial\rho}{\partial t}+ \nabla\rho\cdot \vec{u})+ \rho(\nabla\cdot\vec{u})[/tex]
[tex]= \frac{D\rho}{Dt}+ \rho(\nabla\cdot\vec{u})[/tex]

But how that "u" mysteriously became "v", I cannot say- unless it is a misprint.
 
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What is the Del operator?

The Del operator, also known as the nabla operator, is a mathematical symbol used to represent the gradient, divergence, and curl of a vector field. It is commonly denoted as ∇ and is used in vector calculus to express operations on vectors in three-dimensional space.

What are the three operations that can be performed using the Del operator?

The three operations that can be performed using the Del operator are the gradient, divergence, and curl. The gradient represents the rate of change of a scalar field in different directions, the divergence represents the flow of a vector field out of a given point, and the curl represents the rotation of a vector field around a given point.

How is the Del operator used in physics?

In physics, the Del operator is used to describe physical quantities such as electric and magnetic fields, fluid flow, and heat transfer. It is also used in equations such as Maxwell's equations for electromagnetism and the Navier-Stokes equations for fluid dynamics.

What is the difference between the Del operator and partial derivatives?

The Del operator is a vector operator that operates on a scalar or vector function to produce a vector result, while partial derivatives operate on a multivariable function to find the rate of change with respect to a specific variable. The Del operator can be thought of as a generalization of partial derivatives in multiple dimensions.

Why is the Del operator important in mathematics and science?

The Del operator is important in mathematics and science because it provides a concise and powerful notation for expressing vector operations in three-dimensional space. It allows for the simplification and generalization of many equations and concepts, making it a fundamental tool in various fields of mathematics and science.

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