Abstract
The composition of the distributions \(x^\lambda \) and \(x_+^\mu \) is evaluated for \(\lambda = -1,-2,\ldots \quad \mu >0\) and \(\lambda \mu \in {{\mathbb {Z}}}^- .\) Further results are deduced.
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1 Introduction
In the following, we let \({{\mathcal {D}}}\) be the space of infinitely differentiable functions with compact support, let \({{\mathcal {D}}}[a,b]\) be the space of infinitely differentiable functions with support contained in the interval [a, b], and let \({{\mathcal {D}}'}\) be the space of distributions defined on \({{\mathcal {D}}}\).
we define the locally summable function \(x_+^\lambda ,\) for \(\lambda >-1\), by
The distribution \(x_+^\lambda \) is then defined inductively for \(\lambda <-1\) and \(\lambda \ne -2,-3, \ldots \) by \((x_+^\lambda )' =\lambda x_+^{\lambda -1}.\) It follows that if s is a positive integer and \(-s-1<\lambda < -s\), then
for arbitrary \(\varphi \) in \({{\mathcal {D}}}\). In particular, if \(\varphi \) has its support contained in the interval \([-1,1]\), then
The distribution \(x_+^{-s}\) is defined by
for \(s= 1,2, \ldots \) and not as in Gelfand and Shilov [5].
It is easily shown that if \(\varphi \) is an arbitrary function in \({{\mathcal {D}}}[-1,1],\) then
for \(s=1,2, \ldots ,\) where
The composition of a distribution and an infinitely differentiable function is extended to distributions by continuity provided that the derivative of the infinitely differentiable function is different from zero, see [1]. Fisher defined the composition of a distribution F and a summable function f which has a single simple root in the open interval (a, b) and it was recently generalized in [6] by allowing f to be a distribution.
Now let \(\rho (x)\) be a function in \({{\mathcal {D}}}\) having the following properties:
-
(i)
\(\rho (x) =0\) for \(|x| \ge 1\), (ii) \(\rho (x) \ge 0\),
-
(iii)
\(\rho (x) =\rho (-x)\), (iv) \({\displaystyle {\int _{-1}^1 \rho (x)\,dx =1}}\).
Putting \(\delta _n(x)=n\rho (nx)\) for \(n=1,2,\ldots \) , it follows that \(\{\delta _n(x)\}\) is a regular sequence of infinitely differentiable functions converging to the Dirac delta function \(\delta (x)\).
Further, if F is a distribution in \({{\mathcal {D}}}'\) and \(F_n(x)=\langle F(x-t),\delta _n(x)\rangle ,\) then \(\{F_n(x)\}\) is a regular sequence of infinitely differentiable functions converging to F(x).
The following definition for the neutrix composition of distributions was given in [3] and originally called the composition of distributions.
Definition 1.1
Let F be a distribution in \({{\mathcal {D}}}'\) and let f be a locally summable function. We say that the neutrix composition F(f(x)) exists and is equal to h on the open interval (a, b) if
for all \(\varphi \) in \({{\mathcal {D}}}[a,b],\) where \(F_n(x) =F(x)*\delta _n(x)\) for \(n=1,2, \ldots \) and N is the neutrix, see [2], having domain \(N'\) the positive integers and range \(N''\) the real numbers, with negligible functions which are finite linear sums of the functions
and all functions which converge to zero in the usual sense as n tends to infinity.
In particular, we say that the composition F(f(x)) exists and is equal to h on the open interval (a, b) if
for all \(\varphi \) in \({{\mathcal {D}}}[a,b].\)
Note that if a function f(n) tends to \(\alpha \) in the usual sense as n tends to infinity, it converges to \(\alpha \) in the neutrix sense. The reader may find the general definition of the neutrix limit with some examples in [2].
2 Results
Nicholas and Fisher defined the composition \((x_+^r)^{-s}\) as the neutrix limit of regular sequence \([(x_+^r)^{-s}]_n\) for \(r,s =1,2,\ldots ,\) see [7]. Further Öz c̣ ağ et. al. consider the case \(r=0\), in other words the s-th power of the Heaviside function H(x) defined by \([H(x)]^{-s} =H(x),\) see [9]. Recently, some compositions such as \((|x|^{r-1/2})^{-4s}\) and \((|x|^\mu )^{-s}\) were defined in [4, 8] respectively.
We first of all need the following Lemma which can be easily proved by induction.
Lemma 2.1
and because \(v^r\rho ^{(r)}\) is an even function, we have
and
for \(r=0,1,2,\ldots \) where \(c(\rho )=\int _0^1\ln t\rho (t)\,dt.\)
We now prove the following theorem.
Theorem 2.2
The distribution \((x_+^\mu )^{-m}\) exists and
for \(\mu >0, \quad m=1,2,\ldots \) and \(\mu m=s (s\in {{\mathbb {Z}}}^+).\)
In particular, we have
for \(r=1,2,\ldots .\)
Proof
We first put
Then
on using the substitutions \(y = nx^\mu \) and \(v = nt.\)
It follows immediately that
for \(k=0,1,\ldots \) and
for all \(k=0,1,2,\ldots ,s-2.\)
Further
where
and
\(k=0,1,2,\ldots ,s-2.\)
It follows from Lemma 2.1 and Eqs. (11), (12), and (13) that
for \(k=0,1,\ldots ,s-2,\) and it then follows from Eqs. (8), (9), (10), and (14) that
\(k=0,1,2,\ldots ,s-2.\)
When \(k=s-1,\) then we have
Now making the substitution \( y=uv\)
and using Lemma 2.1, we have
and
and it follows from Eqs. (17), (18), and (19) that
Similarly, using the substitution \(y=uv\) again we have
Thus
and
It follows from Eqs. (21), (22), and (23) that
Further
because
Finally, we have
because
Next, we similarly have
and so
It now follows from Eqs. (8), (9), (16), (20), and (24)–(27) that
We now consider the case \(k=s.\) If \(x<0\) and \(\psi \) is an arbitrary continuous function, then
where \(v=nt.\) Thus
Next with \(k=s\) in \(I_1, \) we see that
and if \(\psi \) is any continuous function, then
If \(x^\mu \ge \frac{1}{n}\), then we have
and it follows that
where \(\kappa _m =\int _{-1}^1 |\rho ^{(m)}(v)|\,dv \) for \(m=1,2,\ldots .\)
If now \(n^{-1/\mu }<\eta <1 \)
It follows that
for \(m=1,2,\ldots \) and if \(\psi \) is any continuous function then
for \(m=1,2,\ldots .\) Now let \(\varphi (x)\in {{\mathcal {D}}}[-1,1].\) By Taylor’s theorem, we have
Then
Using Eqs. (15) and (28)–(31) and noting that the sequence \(\{ \left[ (x_+^\mu )^{-m} \right] _n \}\) converges uniformly to \(x^{-s}\) on the interval \([\eta ,1]\), it follows that
Because \(\eta \) can be arbitrarily small, it follows that
on using Eq. (1). This proves Eq. (5) on the interval \([-1,1].\) However, Eq. (5) clearly holds on any interval not containing the origin, and the proof is complete. \(\square \)
Note that if \(\mu \in {{\mathbb {Z}}}^+,\) then Theorem 1 is in agreement with the Theorem 3 given in [7].
Corollary 2.3
The distribution \((x_-^\mu )^{-m}\) exists and
for \(\mu >0, \quad m=1,2,\ldots \) and \(\mu m=s\in {{\mathbb {Z}}}^+.\)
Proof
Equation (32) follows after replacing x by \(-x\) in Eq. (5). \(\square \)
References
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van der Corput, J.G.: Introduction to the neutrix calculus. J. Anal. Math. 7, 291–398 (1959)
Fisher, B.: On defining the change of variable in distributions. Rostock. Math. Kolloq. 28, 75–86 (1985)
Fisher, B., Jolevska-Tuneska, B., Özc̣ağ, E.: Further results on the compositions of distributions. Integral Transforms Spec. Funct. 13, 109–116 (2002)
Gel’fand, I.M., Shilov, G.E.: Generalized Functions, vol. I. Academic Press, New York (1964)
Kou, H., Fisher, B.: On composition of distributions. Publ. Math. Debr. 40(3–4), 279–290 (1992)
Nicholas, J.D., Fisher, B.: The distribution composition \((x_+^r)^{-s}\). J. Math. Anal. Appl. 258, 131–145 (2001)
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Acknowledgments
The second author was supported by Tubitak. This work was supported by the research project “Functional spaces, topological and statistical aspects and their application in electrical engineering” financed by State University “Goce Delcev”—Stip, Republic of Macedonia.
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Communicated by See Keong Lee.
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Lazarova, L., Jolevska-Tuneska, B., Aktürk, İ. et al. Note on the Distribution Composition \((x_+^\mu )^\lambda \) . Bull. Malays. Math. Sci. Soc. 41, 709–721 (2018). https://doi.org/10.1007/s40840-016-0342-2
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DOI: https://doi.org/10.1007/s40840-016-0342-2
Keywords
- Distribution
- Composition of distributions
- Neutrix calculus
- Neutrix limit
- Neutrix composition
- Hadamard’s finite part