Fractional derivative for polynomial
In most cases, when we are calculating different orders of derivatives of a function, the orders of the derivatives we are facing are non negative integer values. For example, for function
From formulas above, we can easily acquire the general formula for the
Recall that
Then,
Ex1:
Ex2:
Ex3:
{% note warning, In the result of _Ex3_, we can see that the result function is not continuous over point
Deriving general formula for fractional derivative
The Grünwald-Letnikov Fractional Derivative
Recall the very first definition of “derivative”:
Note: Using backward difference here for simplicity in the further steps.
Then,
Goal here is to make
Define
Then,
At this stage, we have defined the formula for the GL derivative:
The Riemann-Liouville Fractional Integral
In order to get even more compact formula, we want to define a new concept called negative binomial coefficients.
Recall the formula for the normal negative binomial coefficients:
Numerator in the formula has
Therefore,
Consider
Consider
Similarly:
As integral can be considered as “inversed derivative”, here we can define a new notation called Riemann-Liouville Fractional Integral:
Ex:
Properties of The Riemann-Liouville Fractional Integral
Proof for the third property:
Stickers by the end of this note
- The conversion from GL fractional derivative to RL fraction integral still seems to be unclear to me, need further investigation about the topic.
- The formula for RL fraction integral seems to be too good to be true, as it can compute high order integration with only one integration. And the
term inside the formula seems to have some underlying connection to taylor expansion. - Work out the proof for the missing step in the course.