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Unfolding the Third Approximation of The Time‐Dependent Controller’s Designed Parameter (TDCDP) of Fokker Planck Kolmogorov (FPK) Probability Density Function(PDF)

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03 April 2024

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03 April 2024

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Abstract
A difficult open problem that has never been fully resolved in the literature to date is the behaviour of the (TDCDP) third approximation. As a giant step towards modern control theory, this cutting-edge paper will advance control theory and other relevant inter-disciplinary subjects. Because control theory is important in industry and engineering, this study will be especially beneficial to anyone working in these disciplines who wish to understand more about recent advances in control theory settings. In contrast, the wealth of applications of Fokker Planck Kolmogorov (FPK) equations numerous disciplines As a result, the study instantly gains more taste and credibility. At the end of the paper, there are several challenging open problems, some concluding remarks, and recommendations for further investigation.
Keywords: 
Subject: Computer Science and Mathematics  -   Applied Mathematics

Introduction

It is possible to equationally view the closed-loop system [1,2,3,4,5,6,7] by:
d x t = − φ x t d t + σ   d W t
The system’s state is represented by x t , TDCDP is denoted by φ   > 0 , the Weiner process is defined by W t , and σ > 0 .
Fokker Planck Kolmogorov equation is:
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The PDF, p x , t   solves (2), with
p x , t = √ ( φ π σ 2 ( 1 − e − 2 φ t ) ) e − φ ( x − x 0 e − φ t ) 2 π σ 2 ( 1 − e − 2 φ t )
x 0 defines the initial value of x t
φ t = W 0 ( − t σ 2 r ( t ) e − t σ 2 r ( t ) ) 2 t + t σ 2 2 r ( t )
Provided that W 0   is the Lambert W function [8] and r t defines a time-dependent variance function. Figure 1 (c.f., [7]) visualizes x t .
W 0 is defined as [8]:.
W 0 z = ∑ n = 1 ∞ − n n − 1 z n n !  
Where z   is any complex number and it is satisfied when z is real. Also, for real values of z , W 0 ( z ) satisfies:
d W 0 ( z ) d z = W 0 ( z ) z ( 1 + W 0 z )    
The following theorem is essential to obtain the main results of section two.
Preliminary Theorem (PT) [9]
Let f be a function that is defined and differentiable on an open interval (c,d).
If   f ' x > ( < ) 0 ∀ x ∈ ( c , d ) ,   then   f   increases ( decreases )   on   c , d
This paper’s contributions are:
  • Solving for the first time ever, the TDCDP’s third approximation.
  • Introducing up-to-date, unsolved issues.
The current work reads: The methodology is highlighted in section two. Section three provides results and discussion. Section four discusses some emerging research questions with future research pathways.

Methodology

Notably, a mathematical approach is undertaken to calculate the threshold based on the preliminary theorem(see Equation (7)). More potentially, calculus and more advanced algebraic forms are utilized to uncover TDCDP’s time-dependent lower bound. Looking at the bigger picture, this discovery will lead to a contemporary control theory rather than being limited within the traditional classical frames.
This current paper provides the full answer, by solving the , but yet there are still numerous unexplored applications. This will put the research community into more spacious frontiers of thoughtful innovation.
Communicating (4), and (5), we arrive at the n t h approximation of TDCDP, namely, φ n ( t ) :
φ n ( t ,   r ( t ) ) = ∑ n = 1 ∞ − n n − 1 z n n !   2 t + t σ 2 2 r ( t ) ,   z = − t σ 2 r ( t ) e − t σ 2 r ( t )

Results and Discussion

Define
φ 3 ( t ,   r ( t ) ) = z − z 2 + 3 2 z 3 2 t + t σ 2 2 r ( t )
, z (c.f., (8))
Theorem 1 For φ 3 of (9) satisfies:
i)
φ 3 t ,   r ( t ) > − σ 2 r ( t ) + t σ 4 ( r ( t ) ) 2 + 3 t 2 σ 6 2 ( r ( t ) ) 3 + t σ 2 2 r ( t )
ii) φ 3 t ,   r ( t )   is temporally forever increasing(decreasing), whenever
σ 2 r t 2 r − t r . − e − t σ 2 r t σ 4 r t 2 + t σ 4 r . r t 3 − σ 2 r . r t 2 + e − 2 t σ 2 r t σ 4 r t 2 − 2 t σ 4 r . r t 3 − 2 t σ 6 r t 3 + 2 t 2 σ 6 r . r t 4 + e − 3 t σ 2 r t 3 t σ 6 r t 3 − 9 t 2   σ 6 r . 2 r t 4 − 9 t 2   σ 8 2 r t 4 + 9 t 3   σ 8 r . 2 r t 5 > < 0 ,   . = d d t
Proof
(i) Clearly, φ 3 ( t ,   r ( t ) ) (c.f., (9)) read:
φ 3 ( t ,   r ( t ) ) = − 1 2 σ 2 r ( t ) e − γ + t σ 4 r t 2 e − 2 γ + 3 t 2 σ 6 2 r t 3 e − 3 γ + t σ 2 2 r ( t ) ,   γ = t σ 2 r ( t )
Thus,
φ 3 ( t ,   r ( t ) ) = − 1 2   σ 2 r ( t ) e − γ + t σ 4 r t 2 e − 2 γ + 3 t 2 σ 6 2 r t 3 e − 3 γ + t σ 2 2 r ( t )
> − 1 2   σ 2 r ( t ) + t σ 4 r t 2 + 3 t 2 σ 6 2 r t 3 + t σ 2 2 r ( t ) (Since, e − γ < 1 )
> −   σ 2 r ( t ) + t σ 4 r t 2 + 3 t 2 σ 6 2 r t 3 + t σ 2 2 r ( t )
(ii) Communicating the preliminary theorem,
φ 3 t ,   r ( t )   is   forever   increasing ( decreasing )   in   t   if   and   only   if   d φ 3 t ,   r ( t ) d t > < 0  
respectively
Following some lengthy mathematical steps, we arrive at the desired result in (11).
Define
r t = σ 2
(c.f., (8))
This established the following theorem.
Theorem 2 For φ n ( t ,   r ( t ) ) (c.f., (14)), it holds that:
i)
φ 3 t ,   σ 2 = − 1 2 e − 3 t e 2 t + t e t + 3 2 t 2 + t 2
ii)
φ 3 t ,   σ 2 = 0   has   a   real   root   within   the   unit   interval
iii) φ 3 t ,   σ 2 is forever increasing in t
Proof
We have, φ 3 t ,   r ( t )   ( c . f . , 9 ) It is implied that:
r t = σ 2 ⟹ z = − t e − t
Thus,
φ 3 t ,   σ 2 = − t e − t − t 2 e − 2 t − 3 2   t 3 e − 3 t 2 t + t 2 = − 1 2 e − 3 t e 2 t + t e t + 3 2 t 2 + t 2
Looking at (14), (i) is immediate.
ii) Let
φ 3 t ,   σ 2 = 0
Therefore,
This can be visualized by checking that
φ 3 0 ,   σ 2 = − 0.5 ,     φ 3 1 ,   σ 2 = 0.2110523365              
Looking at Figure 2, it is evident that the root of φ 3 t ,   σ 2 = 0 , will be floating between 0.7 ,   a n d   0.8 ∈ 0,1 .
.
Communicating mathematical analysis, (ii) follows.
(iii)
d φ 3 t ,   σ 2 d t = 1 2 + 1 2 e − 3 t e 2 t + 2 t e t + 9 2 t 2 + 3 t − e t
Therefore,
d φ 3 t ,   σ 2 d t > 0 ⟺ 1 2 + 1 2 e − 3 t e 2 t + 2 t e t + 9 2 t 2 + 3 t − e t > 0
Or
1 2 + 1 2 e − 3 t e 2 t + 2 t e t + 9 2 t 2 + 3 t − e t > 0
Equivalently,
e 3 t + e 2 t + 2 t e t + 9 2 t 2 > 3 t + e t
Mathematically speaking, since t > 0 e 3 t + e 2 t + 2 t e t + 9 2 t 2 >   e t + t + t + t = 3 t + e t Hence, (iii) is immediate by engaging the preliminary theorem.
On a different note,
l i m t → ∞ φ 3 t ,   σ 2 = l i m t → ∞ − t e − t − t 2 e − 2 t − 3 2   t 3 e − 3 t 2 t + t 2 = ∞
Which consolidates the forever increasability of φ 3 t ,   σ 2 in t .
Having a close look at another case, φ 3 t ,   t 2 σ 2 , it can be easily shown by Figure 3, that φ 3 t ,   t 2 σ 2 decreases drastically as time increases. Moreover,
l i m t → ∞ φ 3 t ,   t 2 σ 2 = 0

Conclusion and Future Research

The third approximation of the TDCDP, φ 3 t ,   r ( t ) , has been examined in this explanation. More opportunely, this research has brought attention to a few suggested open issues:

Open Problem 1

Can we solve the ever- challenging open problem of finding the upper bound of φ 3 t ,   r ( t )   (c.f.(10)). It is expected that this upper bound, if existed, will be time-dependent?

Open Problem 2

Is it possible mathematically wise to unlock the most challenging open problem ever in uncovering the TDCDP’s fourth, fifth, sixth… approximations. The proposed open challenges will be solved in the next phase of research, which will also look at further extensions of FPK theory to additional multidisciplinary areas of human understanding.

References

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Figure 1.     
Figure 1.     
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Figure 2. Roots of φ 3 t ,   σ 2 = 0
Figure 2. Roots of φ 3 t ,   σ 2 = 0
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Figure 3.     
Figure 3.     
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Copyright: This open access article is published under a Creative Commons CC BY 4.0 license, which permit the free download, distribution, and reuse, provided that the author and preprint are cited in any reuse.
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