Advances in Pure Mathematics
Vol.05 No.13(2015), Article ID:61182,4 pages
10.4236/apm.2015.513074
The Property of a Special Type of Exponential Spline Function
Ge Yang
North China University of Technology, Beijing, China

Copyright © 2015 by author and Scientific Research Publishing Inc.
This work is licensed under the Creative Commons Attribution International License (CC BY).
http://creativecommons.org/licenses/by/4.0/



Received 12 October 2015; accepted 14 November 2015; published 17 November 2015
ABSTRACT
Approximation theory experienced a long term history. Since 50’ last century, the rise of spline function as well as the advance of calculation promotes the growth of classical approximation theory and makes them develop a profound theory in maths, and application values have shown among the field of scientific calculation and engineering technology and etc. At present, the study of spline function had made a great progress and had a lot of fruits, as for that, the reader could look up the book [1] or [2] . Nevertheless, the research staff pays less attention to exponential spline function, since polynomial spline function is a special case of that, so it is much essential and meaningful for one to explore the nature of exponential spline function.
Keywords:
Exponential Spline Function, Interpolation, Error Estimation

1. Introduction
At the beginning, we introduce the definition of exponential spline function. From literature [3] , we could learn
the definition: if function
satisfies equation
, we describe it as exponential
spline function, where L is a differential operator
. Here,
are constant coefficient and
represent kth-order derivative. By this definition, we learn that
exists continuous derivative
and in each interval
is linear combination of

, where the
’s are the Nd distinct roots of characteristic poly-
nomial and
is of order
. As exists a single root 0 for characteristic polynomial,
is polynomial spline function. Next we will deal with the case of there being unique real root.
2. Main Result
Theorem 1:
If the differential operator’s characteristic polynomial is 



Proof:
Let 



Since there exists order 

Hence
So that
Furthermore, 
Therefore
We get
put
In terms of this idea, we obtain
Theorem 2: The dimension of the exponential spline function space is
Proof:
Suppose
We have
Since
So that 




When characteristic polynomial has single real root, the linear space can be written as
Next we prove that 
Set 


have 







According to theorem 1. 4. 23 of the book [4] , we can prove next conclusion is true.
Corollary: There exists the 

Theorem 3: If condition of interpolation and boundary satisfy:

then there exist the 3rd degree exponential spline function satisfied with condition. And we have formula of error evaluation
Proof:
Suppose 
Hence
Both of them can be denoted by:


This lead to 
Since


If boundary condition is


Since one of 3rd degree polynomial spline function meet the constraint of interpolation


So that exponential spline function satisfied with condition (1) exists. That is
Next we prove formula of error evaluation. Suppose

Let 

Since
By formula of error evaluation for 3rd degree polynomial spline function, we can have
In terms of book [5] , we have
Since
Hence
Furthermore
By above expressions, we can conclude that

Fund
Supported partly by National Natural Science Foundation of China (11126140, 11201007) and partly by Beijing Talents Training Program (2011D005002000006) and partly by Science and Technology Development Plan Project of Beijing Education Commission (KM20121000-9013) and partly by Scientific Research Personnel Promotion Plan of North China University of Technology (BJRC201309).
Cite this paper
Ge Yang, (2015) The Property of a Special Type of Exponential Spline Function. Advances in Pure Mathematics,05,804-807. doi: 10.4236/apm.2015.513074
References
- 1. Li, Y.S. (1983) Spline Function and Interpolation. Shanghai Science and Technology Press, Shanghai.
- 2. Feng, Y.Y., Zeng, F.L. and Deng, J.S. (2013) Spine Function and Approximation Theory. University of Science and Technology of China, Hefei.
- 3. Unser, M. and Blu, T. (2005) Cardinal Exponential Splines: Part I—Theory and Filtering Algorithms. IEEE Transactions on Signal Processing, 53, 1425-1438.
http://dx.doi.org/10.1109/TSP.2005.843700 - 4. Zhang, G.Q. and Lin, Y.Q. (1987) Lectures on Functional Analysis. Peking University Press, Beijing.
- 5. Li, Q.Y., Wang, N.C. and Yi, D.Y. (2008) Numerical Analysis. 5th Edition, Tsinghua University Press, Beijing.




























