Skip to main content

All Questions

0 votes
0 answers
34 views

Changing coordinates of $2$nd order partial operators

Let's work in $\mathbf R^n$. If we want to change coordinates $\mathbf x\to\mathbf r$, with them related like $$ \mathbf x=\mathbf x(\mathbf r) $$ Then, the second order generic partial operator in ...
0 votes
0 answers
115 views

tensor identity

The tensor $t$ is defined in terms of a scalar $\varrho$ and the two vectors $v$ and $u$ (and derivatives) as follows: $$t_{i j}:=\varrho v_i u_j-\frac{1}{2} \varrho \varepsilon_{i lm} v_l (\...
3 votes
2 answers
404 views

Help with the gradient in different co-ordinate systems

Let $L(x,y)$ be the linear Taylor series expansion of some function $f(x,y)$. This can be written as $$L(x,y)=f(x_0,y_0)+f_x(x-x_0)+f_y(y-y_0)$$ Or in more compact form as $$L(x,y)=f(x_0,y_0)+\nabla f ...
0 votes
1 answer
57 views

$\nabla\cdot(f\vec{g})=f\nabla\vec{g}+\vec{g}\cdot\nabla f$ using Levi-Civita

I need to prove the following equality: $\nabla\cdot(f\vec{g})=f\nabla\vec{g}+\vec{g}\cdot\nabla f$. I know that proving this equality using the properties of $\nabla$ and $(\cdot)$ is easy, what the ...
2 votes
1 answer
75 views

geometric interpretation on covariant derivateve in curvilinear coordinates.

I'm having trouble understanding what does the covariant derivative do in a coordinate system where we have changing basis vectors. I always thought it was giving us the change in coordinates while ...
25 votes
7 answers
11k views

How would you explain a tensor to a computer scientist?

How would you explain a tensor to a computer scientist? My friend, who studies computer science, recently asked me what a tensor was. I study physics, and I tried my best to explain what a tensor is, ...
2 votes
1 answer
67 views

Differential surface element and nabla operator

If we have the vector field $\vec{u}=\vec{A}\times \vec{v}$, where $\vec{A}=\text{const.}$ and we integrate over some closed curve, by using Stokes' theorem we get: $$ \begin{align} \oint_{\partial S}...
0 votes
1 answer
44 views

If $S$ is a symmetric matrix, then rewriting $\int{S:\nabla \phi} dx$

I am trying to prove that: If $S$ is a symmetric matrix, then one can rewrite $\int{S:\nabla \phi} \text{dx}$ as $\int{S:D(\phi)} \text{dx}$, where $D(\phi)$ is the symmetric gradient of $\phi$. Any ...
1 vote
1 answer
104 views

Exercise 5.22 in the book Geometrical Methods of Mathematical Physics (by Bernard Schutz)

I can't figure it out about the Exercise 5.22 in the book Geometrical Methods of Mathematical Physics (by Bernard Schutz). Could any one give me a help? Thanks. ($\bar{V}$ means vector V. ) Exercise ...
0 votes
2 answers
119 views

What is the gradient in this skewed coordinate system?

Consider two bases $e_i$ and $f_i$ of $\mathbb{R}^2$ defined by: $$\begin{aligned} (f_1,f_2) &= (e_1,e_2)\cdot F\\ \begin{pmatrix}1&-1\\1&1\end{pmatrix} &= \begin{pmatrix}1&...
1 vote
1 answer
136 views

Analyzing the Hessian of this function

The problem I'm looking at is, given a matrix $A$ of size $m\times n$ where $A_{ij}\ge 0$ minimize $f(x, y) = \|A - xy\|^{2}_{F}$ where $x$ is a column vector of length $m$, $y$ is a row vector of ...
0 votes
0 answers
52 views

Intuition about the divergence of a vector field in non-orthogonal basis

My textbook defines the divergence of a vector field in a non orthogonal constant basis the following way: $$div(\vec{u})=\vec{a}^i\cdot\frac{\partial \vec{a}_ku^k}{\partial x^i}=\frac{\partial u^i}{\...
1 vote
0 answers
45 views

How to integrate by parts the vectorial product between a vector and a gradient [closed]

I am having a problem trying to check if the identity below should be positive or negative. $$ \int\; \boldsymbol{A} \times (\boldsymbol{\nabla} a ) = \pm \int (\boldsymbol{\nabla} \times \boldsymbol{...
2 votes
2 answers
93 views

Derivation or intuition on the covariant derivative for higher rank tensors

So the derivation in my textbook for the covariant derivative of a vector field $\vec{u}$ in curvilinear coordinates $\xi^k$ is the following: $$\frac{\partial \vec{u}}{\partial\xi^j}=\frac{\partial (...
0 votes
0 answers
51 views

Differential operators of tensor fields. Hamilton operator

The very first thing my textbook says is that the Hamilton operator is defined as: $$\vec{\nabla}=\vec{a}^i\nabla_i$$ Where $\nabla_i$ is the covariant derivative and " $\vec{a}^i$ is the ...

15 30 50 per page
1
2 3 4 5
10