Published: 26 September 2019

Construction of an algorithm for the analytical solution of the Kolmogorov-Feller equation with a nonlinear drift coefficient

Andrei Firsov1
Anton Zhilenkov2
1Peter the Great St. Petersburg Polytechnic University, Saint Petersburg, Russia
2Saint Petersburg State Marine Technical University, Saint Petersburg, Russia
Corresponding Author:
Anton Zhilenkov
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Abstract

The paper proposes a constructive method for solving the stationary Kolmogorov-Feller equation with a nonlinear drift coefficient. The corresponding algorithms are constructed and their convergence is justified. The basis of the proposed method is the application of the Fourier transform.

1. Introduction

This paper proposes an approach to constructing solutions of differential equations of fractional order of the Kolmogorov-Feller type. We consider equations with nonlinear coefficients, namely the case of a quadratic dependence of the drift coefficient on the independent variable. As far as we know, this method of construction is not presented in the literature. The advantage of the method is its effectiveness in numerical implementation.

2. Mathematical model of the problem

Let’s consider the form of the Kolmogorov-Feller Eq. (1) with the drift coefficient β 0, which depends nonlinearly on the coordinate:

1
ddx[(αx+βx2)W(x)]+ν+-p(A)W(x-A)dA-νW(x)=0,-<x<+.

In the literature, it is customary to consider the simplified case β= 0. In our case for normal form we have:

2
W(x)0x±,+-W(x)dx=1,
3
p(A)|A|0,+-p(A)dA=1.

We assume p(A) – analytical function and ˆp(k)=+-p(x)eixkdx – it’s Fourier transform, where |A|<R or:

4
ˆp(k)=ˆp0+ˆp1k+ˆp2k+...,|k|<k0,k01.

Insofar as Eqs. (2-3), we have:

5
ˆp0=ˆp(0)=1.

In case p(x) – even function, we have ˆp2s-1=0, s= 1, 2,..., and ˆp(k) – is real analytical function. From Eq. (2) we have:

6
{+-|ˆW(k)|dk<,ˆW(0)=1.

Obviously, we can go from solving the Eq. (1) with Eq. (2), to the equation:

7
iβ^W''(k)-α^W'(k)+νρ(k)ˆW(k)=0.

From Eq. (6) we have:

8
ρ(0)=ˆp1=+-xp(x)dx,
9
ρ(k)=ˆp1+ˆp2k+ˆp3k2+...,|k|<k0.

Again, since ˆp(k)0, |k|, we get:

10
ρ(k)~-1k,(|k|).

3. Mathematical model analysis

For:

11
ˆW(k)=φ(k)e-k0ψ(k)dk,

we get:

φ''+(-2ψ+iαβ)φ'+(ψ2-ψ'-iαβψ-iνβρ)φ=0.

Putting:

12
ψ=iα2β,

we’ll get for φ(k) following equation:

13
φ''-q(k)φ=0,

where:

14
φ(k)=ˆW(k)eiα2βk,
15
q(k)=-α22β2+iνβρ(k).

For q(k) we can highlight some properties.

1) From Eq. (10) it follows:

16
q(k)-α22β2,|k|.

2) From Eq. (19) we have:

17
q(k)=-α22β2+iνβˆp1+iνβ(ˆp2k+ˆp3k2+...),|k|<k0,

or

18a
q(k)=q0+q1k+q2k2+...,|k|<k0,

where:

18b
{q0=-α22β2+iνβˆp1,qn=iνβˆpn+1.

3) Also:

19
q(k)=-δ(k)+iνβReρ(k).

Lemma 1. For q(k):

20
(q(k))1=|q(k)|{12(1+(1+[Reρ(k)]2ν2δ2β2)-1/2)}1/2
-i|q(k)|{12(1-(1+[Reρ(k)]2ν2δ2β2)-12)}1/2,

is C2 by k(0,+) and Re(q(k))1>0 for k, which are large enough.

4. Construction of the solution of the transfer theory problem

We will use the well-known asymptotic theorem for solving the equation:

21
u''(x)-q(x)u(x)=0,

when x+.

Theorem 1. Let in the Eq. (21) q(x)C2(0,), q(x)0 for sufficiently large x and let there exist a branch q(x) of class C2(b,) such that Req(x)>0, x>b0. Let further α1(x)=18q''q3/2-s32[q']2q5/2 and |α1(x)|dx<. Then Eq. (21) has a solution:

u(x)=q-14(x)e-xq(t)dt[1+ε2(x)],ε2(x)0,(x).

Moreover, for x>0:

|u(x)˜u(x)-1|2(e2x|α1(t)|dt-1),
|u'(x)q(x)˜u(x)+1|14|q'(x)q32(x)|+4(1+14|q'(x)q32(x)|)×(e2x|α1(t)|dt-1).

If q'(x)q32(x)0, (x), then u'(x)=q1/4(x)e-xq(t)dt(1+ε1(x)), ε1(x)0, x+.

Lemma 2. If |^p'(k)|O(1k) and |^p''(k)|O(1k), then for Eq. (12) the previous theorem is valid.

Thus, further we solve the following problem:

22
φ''(k)-q(k)φ(k)=0,k>0,
23
{φ(0)=1,φ(k)0,k+.

Here q(k) is given by Eq. (15). Further, we assume that the assumptions of Theorem 1 are fulfilled. In particular, the function q(k) is analytic when |k|<k0, k01 (see Eq. (18a)).

From the theory of differential equations, we obtain for the coefficients an following infinite system of equations:

24
{(n+1)(n+2)an+2-ns=0asqn-s=0,n=0,1,2,...a0=1.

For a2 we immediately get at n=0:

25
a2=12q0=-α24β2+iν2βˆp1.

In case of even p(x): ˆp1=0, a2=-α24β2. The determinant of the matrix AN of this system is:

26

=12N+1!N+2!=N+22N+1!2>0.

In these designations for φk we have the expression:

27
φk=1+a1k+a2k2+hk+a1gk=a1k+gk+1+a2k2+hk
a1g1k+h1k,

where k+gk=g1k, 1+a2k2+hk=h1k.

To find the coefficient a1, we use the asymptotic solution φk (k+), given by Theorem 1. Let k1<k0. Then by Theorem 1 we get:

28
a1g1k1+h1k1=Cq-1/4k11+ε2k1,a1g'1k1+h'1k1=-Cq1/4k11+ε1k1.

If k11, then ε1k11, ε2k11 [7, 8]. Therefore, Eq. (28) can be approximately replaced by the system:

29
a~1g1k1+h1k1=C~q-1/4k1,a~1g'1k1+h'1k1=-C~q1/4k1,

where a~1 and C~ are approximate values for a1 and C. From Eq. (29) we find:

30
a~1=-h1q1/2+h'1g1q1/2+g'1,C~=q1/4g'1h1-g1h'1g1q1/2+g'1,

where all functions are calculated when k=k1. For an approximate value φ~k of φk we therefore have:

31
φ~k=a~1g1k +h1k , 0kk1,g'1h1-g1h'1g1q12+g'1k=k1q14k1q-14ke-k1kqtdt, kk1,k11, k1<k0,φ~-k=φ~k,¯ k0.

5. Results and conclusions

For construction of the analytical solution of the Kolmogorov-Feller Eq. (1) one can use the following algorithm.

1) Take the desired function φk=W^keiα2βk.

2) For φ(k) we have φ''k-qkφk=0, k>0 under:

φ0=1,φk0, k+,
qk=q0+q1k+q2k2+..., k<k0.

3) We can get qj from:

q0=-α22β2+iνβp^1,qn=iνβp^n+1,

where p^j – are from p^s=p^s0s!=1s!is-+xspxdx, or from p^k=-+pxeixkdx with p^k=p^0+p^1k+p^2k+..., k<k0, k01.

4) Then we have solution in form φk=1+a1k+a2k2+..., 0k<k0, where aj, j2 are determined from equations:

n+1n+2an+2-s=0nasqn-s=0, n=0,1,2,..., a0=1,

and:

a1=-limk+h1kq12k+h'1kg1kq12k+g'1k,

where h1(k), g1(k) are determined from Eqs. (30), (31).

References

  • Kim Ju Gyong, Choe Il Su A solution to Kolmogorov-Feller equation and pricing of option. International Symposium in Commemoration of the 65th Anniversary of the Foundation of Kim Il Sung University (Mathematics), 2011.
  • Blackledge J., Lamphiere M., Panahi A. Simulation and analysis of stochastic signals using the Kolmogorov-Feller equation. IET Irish Signals and Systems Conference, 2012.
  • Popov A. V., Seredenko N. A., Zhilenkov A. A. Control system of multi-level manipulator with rotational degrees of mobility. Proceedings of the IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, 2019.
  • Zhilenkov A. High productivity numerical computations for gas dynamics modelling based on DFT and approximation. IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, 2019.
  • Nyrkov A. P., Chernyi S. G., Sokolov S. S., Zhilenkov A. Optimization problem of thermal field on surface of revolving susceptor in vapor-phase epitaxy reactor. IOP Conference Series: Earth and Environmental Science, Vol. 87, Issue 8, 2017, p. 082060.

About this article

Received
12 May 2019
Accepted
18 June 2019
Published
26 September 2019
SUBJECTS
Mathematical models in engineering
Keywords
mathematical model
analytical solution
Kolmogorov-Feller equation
nonlinear drift coefficient
constructive method for solving