Is the theory of fractional-ordered calculus flawed?

In summary, the conversation discusses the function f(x)=x^n and its derivative and integral of kth order. It is mentioned that the derivative of half order can be expressed using the factorial or Gamma function. However, when applying the half-order integral operator twice, an additional term containing a constant is introduced, leading to the question of whether the theory of fractional derivatives is flawed. It is also mentioned that the usual approach in fractional calculus is to use anti-derivative operators defined with respect to a specific reference point.
  • #1
Kumar8434
121
5
Let's talk about the function ##f(x)=x^n##.

It's derivative of ##k^{th}## order can be expressed by the formula:
$$\frac{d^k}{dx^k}=\frac{n!}{(n-k)!}x^{n-k}$$
Similarly, the ##k^{th}## integral (integral operator applied ##k## times) can be expressed as:
$$\frac{n!}{(n+k)!}x^{n+k}$$
According the the Wikipedia article https://en.wikipedia.org/wiki/Fractional_calculus, we can replace the factorial with the Gamma function to get derivatives of fractional order.

So, applying the derivative of half order twice to ##\frac{x^{n+1}}{n+1}+C##, should get us to ##x^n##.

Applying the half-ordered derivative once gives:
$$\frac{d^{1/2}}{{dx^{1/2}}}\left(\frac{x^{n+1}}{n+1}+Cx^0\right)=\frac{1}{n+1}\frac{\Pi(n+1)}{\Pi(n+1/2)}x^{n+1/2}+C\frac{1}{\Pi(-1/2)}x^{-1/2}$$
where ##\Pi(x)## is the generalization of the factorial function, and ##\Pi(x)=\Gamma(1+x)##.

Again, applying the half-ordered derivative gives:
$$\frac{1}{n+1}\frac{\Pi(n+1)}{\Pi(n)}x^n+\frac{C}{\Pi(-1)}x^{-1}=x^n$$
which works fine because ##\frac{C}{\Pi(-1)}\rightarrow 0##. So, the derivative works good but that's not the case with fractional-ordered integration.

Applying the half-ordered integral operator twice to ##x^n## should give us ##\frac{x^{n+1}}{n+1}+C##. Applying the half-ordered integral once means finding a function whose half-ordered derivative is ##x^n##. So, applying it once gives:
$$\frac{\Pi(n)}{\Pi{(n+1/2)}}x^{n+1/2}+C\frac{1}{\Pi(-1/2)}x^{-1/2}$$

Again, applying the half ordered derivative to this function should give a function whose half-ordered derivative is this function. So, again applying the half-integral operator gives:
$$\frac{x^{n+1}}{n+1}+C+C'\frac{1}{\Pi(-1/2)}x^{-1/2}\neq \frac{x^{n+1}}{n+1}+C$$
where ##C'## is another constant. So, why this additional term containing ##C'## gets introduced? Is the theory of fractional derivatives flawed? Is there any way to get a single constant ##C## in the end by applying the half-integral operator two times?
 
Last edited:
Mathematics news on Phys.org
  • #2
I mistakenly posted it on General math. How to transfer it to the calculus forum?
 
  • #3
Kumar8434 said:
I mistakenly posted it on General math. How to transfer it to the calculus forum?

You can use the "report" feature to report your own original post. In the reasons for reporting, say "Posted in wrong section. Please move the thread to the Calculus section". (The report feature isn't exclusively for reports about posts that are inflammatory or scandalous etc.)
 
  • #4
Kumar8434 said:
Applying the half-ordered integral operator twice to ##x^n## should give us ##\frac{x^{n+1}}{n+1}+C##.
No it shouldn't. There should be no +C because fractional calculus is a theory of definite integrals.
 
  • #5
Kumar8434 said:
Applying the half-ordered integral operator twice to ##x^n## should give us ##\frac{x^{n+1}}{n+1}+C##.
That isn't one of the assumptions used in fractional calculus.

Do you consider it a flaw of ordinary calculus that applying anti-differentiation twice to ##x^1## fails to produce ##x^3/6## and instead produces ##x^3/(6) + C + C'x##?

The definition of "anti-differentiation" in ordinary calculus is often stated as process that does not produce a unique function. Instead it produces a family of functions. The process-oriented definition of "anti-differentiate ##f(x)##" is to state a family (i.e. a set) of functions ##\mathbb{F}## such that that each member ##\mathbb{F}## of the family has a derivative equal to ##f(x)##. For example the statement ##\int x \ dx= x^2/2 + C## amounts to defining ##\int x\ dx## as a family of functions whose distinct members are defined by picking different values of ##C##.

To define anti-differentiation as a specific "operator", we must define it so it produces a unique answer. (An operator is a function whose domain is a set of functions and whose co-domain is a set of functions. A function must map each element in the domain to a unique element in the co-domain). The usual way to define a unique anti-differentiation operator is to take a specific "reference point" (also called a "fiducial point" by some authors). For example, taking the value ##a ## as the reference point, we can define the anti-derivative operator ##D_a^{-1} f(x)## as ##D_a^{-1} f(x) = \int_a^x f(x) dx##. That definition leaves no "undetermined constant" in the result because ##F(x) = D_a^{-1} f(x) ## implies ##F(a) = 0## so we have a "boundary value" that determines any constant that temporarily appears using the usual rules for the process of anti-differentiation. (i.e. ##D_a^{-1} f(x) = F(x) - F(a)## so the specific constant is ##-F(a)## and ##F(x)## is a specific function, not a family of functions. )

For example ##D_6^{-1} x = \int_6^x x\ dx = x^2/2 - 36/2 ##.

The usual approach in the fractional calculus is to use anti-derivative operators that are defined with respect to a specific reference point.

See page 5 of http://www.reed.edu/physics/faculty...ractional Calculus/A. Fractional Calculus.pdf for an elaboration of those ideas.
 
  • #6
Stephen Tashi said:
That isn't one of the assumptions used in fractional calculus.

Do you consider it a flaw of ordinary calculus that applying anti-differentiation twice to ##x^1## fails to produce ##x^3/6## and instead produces ##x^3/(6) + C + C'x##?

The definition of "anti-differentiation" in ordinary calculus is often stated as process that does not produce a unique function. Instead it produces a family of functions. The process-oriented definition of "anti-differentiate ##f(x)##" is to state a family (i.e. a set) of functions ##\mathbb{F}## such that that each member ##\mathbb{F}## of the family has a derivative equal to ##f(x)##. For example the statement ##\int x \ dx= x^2/2 + C## amounts to defining ##\int x\ dx## as a family of functions whose distinct members are defined by picking different values of ##C##.

To define anti-differentiation as a specific "operator", we must define it so it produces a unique answer. (An operator is a function whose domain is a set of functions and whose co-domain is a set of functions. A function must map each element in the domain to a unique element in the co-domain). The usual way to define a unique anti-differentiation operator is to take a specific "reference point" (also called a "fiducial point" by some authors). For example, taking the value ##a ## as the reference point, we can define the anti-derivative operator ##D_a^{-1} f(x)## as ##D_a^{-1} f(x) = \int_a^x f(x) dx##. That definition leaves no "undetermined constant" in the result because ##F(x) = D_a^{-1} f(x) ## implies ##F(a) = 0## so we have a "boundary value" that determines any constant that temporarily appears using the usual rules for the process of anti-differentiation. (i.e. ##D_a^{-1} f(x) = F(x) - F(a)## so the specific constant is ##-F(a)## and ##F(x)## is a specific function, not a family of functions. )

For example ##D_6^{-1} x = \int_6^x x\ dx = x^2/2 - 36/2 ##.

The usual approach in the fractional calculus is to use anti-derivative operators that are defined with respect to a specific reference point.

See page 5 of http://www.reed.edu/physics/faculty/wheeler/documents/Miscellaneous Math/Fractional Calculus/A. Fractional Calculus.pdf for an elaboration of those ideas.
Thanks. That solved my issue. But, why in fractional calculus the integration isn't defined to give a family of functions if getting multiple constants in the end isn't much problem?
 
  • #7
Kumar8434 said:
Thanks. That solved my issue. But, why in fractional calculus the integration isn't defined to give a family of functions if getting multiple constants in the end isn't much problem?

If you look at various versions of the fractional calculus, you see that both fractional differentiation and fractional integration are defined as operators involving some reference point. (Sometimes the reference point is in implicitly taken as ##a = 0## or ##a = -\infty##). So if you try to define the process of integration of ##f(x)## as "state all possible functions whose derivative is ##f(x)##", you are involved in considering reference points since differentiation involves a reference point.

So the first question we should ask is "Why is fractional differentiation defined in terms of a reference point?"

The definition of the derivative of ##f(x)## in ordinary calculus is only referenced to the value "##x##". By contrast the various definitions of fractional derivative of ##f(x)## involve (implicitly or explicitly) an additional value besides ##x##. I suppose the only way to see why that is so would be to try to create a definition of fractional derivative that did not involve a reference point - and see what kind of trouble we get into making such a definition useful.
 

1. What is the theory of fractional-ordered calculus?

The theory of fractional-ordered calculus is a mathematical framework that extends the traditional calculus to include non-integer order derivatives and integrals.

2. How does fractional-ordered calculus differ from traditional calculus?

Fractional-ordered calculus differs from traditional calculus in that it allows for fractional exponents and non-integer order derivatives and integrals. This allows for a more flexible and accurate representation of real-world phenomena.

3. What evidence is there to suggest that the theory of fractional-ordered calculus is flawed?

There is currently no conclusive evidence to suggest that the theory of fractional-ordered calculus is flawed. However, there is ongoing research and debate in the scientific community about its applications and limitations.

4. What are some potential limitations of fractional-ordered calculus?

Some potential limitations of fractional-ordered calculus include the complexity of its mathematical formulations and the need for specialized numerical methods for solving equations involving fractional derivatives and integrals.

5. How is the theory of fractional-ordered calculus used in scientific research?

The theory of fractional-ordered calculus has a wide range of applications in various fields of science and engineering, such as physics, biology, and finance. It is used to model and analyze complex systems and phenomena that cannot be accurately described by traditional calculus.

Similar threads

Replies
4
Views
429
Replies
3
Views
232
Replies
6
Views
934
Replies
3
Views
744
Replies
6
Views
1K
Replies
17
Views
3K
Replies
13
Views
1K
Replies
1
Views
626
Replies
8
Views
2K
Replies
1
Views
747
Back
Top