Gradient in general co-ordinates

In summary, the definition of the gradient for a general coordinate system can be found at the bottom of the Wikipedia page on "Orthogonality in three dimensions." However, the book "A First Course in Continuum Mechanics" by Gonzalez and Stuart defines the gradient as the partial derivative of a function with respect to the coordinates of a point in an arbitrary frame, multiplied by the corresponding basis vector. This notation may seem confusing, but it is related to the concept of covariant and contravariant basis vectors. Additionally, the presence of a "1/r" term in the gradient for cylindrical coordinates is necessary to remove the dependence on the radius "r." This can be seen by considering a circular arc and a vector in the theta direction.
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Homework Statement



I know that for a general co-ordinate system, the gradient can be expressed as it is at the bottom of this page:

http://en.wikipedia.org/wiki/Orthogo...ree_dimensions

However, the book I am working from (A First Course in Continuum Mechanics by Gonzalez and Stuart) defines it as:

"Let {ei} be an arbitrary frame. Then grad phi(x)= (partial d phi by d xi)(x) ei where (x1,x2,x3) are the coordinates of x in ei"

I don't understand how this relates to the actual definition, for example given the definition in my book, how do I show that the gradient in cylindricals contains a 1/r in front of the unit theta term?

I presume that these ei are completely general so they are not unit vectors?

I need to understand this notation properly so I can apply it to deformation gradients etc



Homework Equations





The Attempt at a Solution



From reading http://en.wikipedia.org/wiki/Curvilinear_coordinates where the same formula as the book is given, I presume it has something to do with covariant and contravariant basis but this isn't really mentioned in the book.
 
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  • #2
A circular arc, from point [itex](r, \theta)[/itex] to [itex](r, \theta+ d\theta)[/itex] will have length [itex]rd\theta[/itex]. A vector, in the [itex]\theta[/itex] direction, at the point with coordinates [itex](r, \theta_0)[/itex] will, similarly, have length given by [itex]r d\theta[/itex]. The "1/r" is required to remove the dependence on r.
 
  • #3
How would I know, merely from the definition in the book that I need that, for example if we were dealing with some totally arbitrary coordinates? (I completely understand why it is there in this case and know how to derive it)
 

FAQ: Gradient in general co-ordinates

What is the concept of gradient in general coordinates?

The gradient in general coordinates is a mathematical concept used in multivariable calculus to represent the rate of change of a function with respect to each of its input variables. It is a vector that points in the direction of the steepest increase of the function at a specific point.

How is gradient in general coordinates different from gradient in Cartesian coordinates?

In general coordinates, the gradient is calculated with respect to the basis vectors of the coordinate system, while in Cartesian coordinates, it is calculated with respect to the standard basis vectors (i, j, k). This means that the gradient in general coordinates takes into account the curvature of the coordinate system, while the gradient in Cartesian coordinates is independent of the coordinate system.

How is gradient in general coordinates used in physics?

The gradient in general coordinates is used in physics to represent the direction and magnitude of the force acting on a particle. It is also used to calculate the rate of change of physical quantities, such as temperature or pressure, in different directions.

What is the relationship between gradient and directional derivative in general coordinates?

The gradient in general coordinates is related to the directional derivative by the dot product. The directional derivative is the rate of change of a function in a specific direction, while the gradient represents the maximum directional derivative in all possible directions. Therefore, the directional derivative in a direction is equal to the dot product of the gradient and the unit vector in that direction.

Can the gradient in general coordinates be negative?

Yes, the gradient in general coordinates can be negative. A negative gradient indicates that the function is decreasing in that direction. The magnitude of the gradient represents the rate of decrease of the function in that direction.

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