scholarly journals On Finite Energy Solutions of 4-harmonic and ES-4-harmonic Maps

Author(s):  
Volker Branding

Abstract4-harmonic and ES-4-harmonic maps are two generalizations of the well-studied harmonic map equation which are both given by a nonlinear elliptic partial differential equation of order eight. Due to the large number of derivatives it is very difficult to find any difference in the qualitative behavior of these two variational problems. In this article we prove that finite energy solutions of both 4-harmonic and ES-4-harmonic maps from Euclidean space must be trivial. However, the energy that we require to be finite is different for 4-harmonic and ES-4-harmonic maps pointing out a first difference between these two variational problems.

2004 ◽  
Vol 14 (04) ◽  
pp. 619-640 ◽  
Author(s):  
JING WANG ◽  
FADIL SANTOSA

The problem of progressive lens design can be posed as a variational problem. The necessary condition is a fourth-order nonlinear elliptic partial differential equation. The partial differential equation can be linearized using a perturbation approach. A numerical method using a special type of splines, chosen for their smoothness properties, is devised to solve the resulting PDE. The computational method is shown to be both convergent and efficient.


1975 ◽  
Vol 27 (6) ◽  
pp. 1239-1245 ◽  
Author(s):  
E. S. Noussair

Oscillation criteria will be obtained for the linear elliptic partial differential equationin an unbounded domain G of general type in n-dimensional Euclidean space En. The differential operator D is defined as usual by where each α (i), i = 1, … , n, is a non-negative integer.


Author(s):  
Curtis R. Vogel ◽  
Mary Ellen Oman

Abstract We apply a total variation minimization technique for two tasks in image processing: denoising, which is the reconstruction of an image from noisy observations of the image; and deblurring, which is the reconstruction of an image which is convolved with a smooth kernel function and then contaminated with error. Total Variation minimization yields a nonlinear elliptic partial differential equation (PDE). In this paper we discuss numerical techniques for the efficient solution of this PDE.


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