Revision as of 10:47, 11 March 2013 by Kcooley (Talk | contribs)

File:Example7.jpg

Divergence and Gradient Theorems

by Kilian Cooley

INTRODUCTION


 Contents
- Divergence and Gradient in 1D: The Fundamental Theorem of Calculus
- Divergence Theorem in 2D
- Conservation of Mass for Moving Fluids
- Gradient Theorem in 2D
- Proof of Archimedes' Principle
- A Warning About Coordinate Systems
- References

Divergence and Gradient in 1D: The Fundamental Theorem of Calculus


Divergence Theorem in 2D


Conservation of Mass for Moving Fluids


Gradient Theorem in 2D


Proof of Archimedes' Principle


A Warning About Coordinate Systems


References


$ \int_0^1\int_0^4\int_{-1}^7\nabla\phi {dV} = \frac{\partial u}{\partial x}\hat{e}_x $

$ \int\int\int_{\partial \Omega} {\mathbb R} $

Here's Google


Back to Math Squad page

Alumni Liaison

Prof. Math. Ohio State and Associate Dean
Outstanding Alumnus Purdue Math 2008

Jeff McNeal