This study is about the generalization of Leibnizs derivative rule, which has been done as research. That is, obtaining an extension of the derivative of the nth order of the product of the nth function, which is the successive derivatives up to the nth order. Leibnizs rule is the derivative of the nth order of the product of two functions, which is in the form of an expansion and has successive derivatives up to the nth order. First, the generalization of a theorem in mathematics is explained. Also, the derivative of the product of two or more functions, then the derivatives of the first to the nth order of a function, and the rule of Leibnizs derivative are discussed and we have an overview of the generalization of this rule. The results show that the relationship between the order of rivatives of functions and coefficients in the general sentence of the generalized rule is the same as the relationship of owers and coefficients in the general sentence of the expansion of polynomials. To obtain the derivative of higher order in the multiplication of several functions, less process is easily used.
The concept of the derivative in its current form was first developed by Newton in 1666, and a few years after him, by Gottfried Wilhelm Leibniz independently of each other. Leibniz, the greatest comprehensive genius of the 17th century, was Newtons rival in the inventing calculus. The general opinion today is that each of them discovered calculus independently of the other. Although Newtons discovery was made earlier, Leib-niz published the results earlier. He has extracted many of the rules of derivation, which a student learns in the beginning of an introductory course in calculus. The derivative of function f can also be represented by f^. This symbol emphasizes that f^ is a new fun-ction obtained by deriving from function f and its value at x is given by f^ (x). This symbol was used by Joseph Louis Lagrange in 1770 AD. Derivatives of higher orders are shown as the f^(first derivative), f^ (second derivative), and f^ (third derivative), f^((4)) (fourth derivative) and .......〖 f〗^((n)) (nth derivative). The rule for finding the derivative of the product of two functions is still called Leibnizs rule.
A generalization of a mathematical theorem is a theo-rem that gives a wider result with the same premise of the theorem. So that the generalized theorem is obtain-ned from it. Through the generalization of a theorem, it is possible to look at that theorem from a broader angle. Most mathematical works, even the results of outstanding mathematicians, are usually generaliz-ations of existing works and concepts. There are two types of the patterns for generalization: "result-based generalization" and the "process-based generalization". Generalization based on the result is a generalization that is obtained by recognizing a general pattern of the result itself. Process-based generalization is a general-ization resulting from a process that ends in a result, that is, a way that contains a specific chain of steps dependent on previous results (Niazai et al., 2022).
Leibnizs rule and its generalization are used to obtain the derivative of higher order in the product of two or more functions. For example, in functions such asu=sinx, v=lnx, and w=x^2, if we want to obtain the derivative of higher orders in their product (y=uvw), we use the generalization of Leibnizs rule for the product of three functions. This method makes us go through a less process in obtaining the derivative of higher orders, especially when the product of several functions cannot be written as a sum of several terms.
The derivative of the product of two or more functions and derivatives of the first to nth order:
Suppose u and v are two functions of x and we have: y=u.v then the derivative of the function y will be: (first order derivative): y^=〖(uv)〗^
Leibnizs symbolization method:
We assume that u and v are continuous. The deriva-tive of their product will be: y^=u^ v+uv^
We also have several functions:
If the function is continuous and differentiable, we have: y^=f^ (x), if y^=f^ (x) is also differentiable, the second derivative of the original function y=f(x) can be found:
Similarly, if y^=f^ (x) is differentiable, the third derivative of the function f(x) is as follows:
Derivatives of higher order can be defined as follows:
Leibniz rule (derivative):
If y=u.v, where u and v are functions of x. we can say that the nth order derivative of y with respect to x is obtained from the following equation:
The relationship (I) is also written as follows:
The sum of derivative orders of functions u and v in each term is equal to (n):
The coefficient of each term in relation (I) is equal to:
The general expression of the relation (I) is as follows:
From the expansion sentences y^( ) and the relation (II), the general sentence can be concluded:
a_j is the derivative of functions u_i:
Order of the derivative of the function a_1:u_1
Order of the derivative of the function a_2:u_2
Order of the derivative of the function a_3:u_3
- Note (1): The general sentence of relation (II) is concluded through process-based generalization.
Examples:
Leibniz's rule can be concluded from relation (II) (from its general sentence formula):
If we omit ????3????4…???????? functions in the general sentence of relation (II), we will have:
With a little precision, we can see that the relationship between the coefficients and the order of the derivative of the functions in the expansion of Leibniz's rule is the same as the relationship between the coefficients and powers in the expansion of Newton's binomial. Also, the relationship between the derivative order of functions and coefficients in the generalization of Leibniz's derivative rule in the general sentence is the same as the relationship between the coefficient and power in the expansion of polynomials (general sentence):
Examples:
Example: if the functions ????, ???? and ???? are functions of the variable ???? and we have ????=????????????, the expan-sion of the third derivative of the function ???? is equal to
Note (2): It may be possible to conclude the general sentence of the relation (II) through the generalization based on the result. The relation (I) is the same as Newton's binomial expansion. The general sentence of relation (II) is also the same as the general sentence of polynomial expansion, that is, relation (IV). Of course, we are more interested in process-based generalization here.
This research aimed to obtain a generalization of Leibnizs derivative rule for finding higher-order derivatives of products of multiple functions. Through mathematical analysis, a generalized formula was derived that allows efficiently computing the nth derivative of a product of n functions. The key finding is that the coefficients in the generalized formula correlate to the derivative orders of each function in the product, analogous to how coefficients correlate with powers in polynomial expansions. Specifically, the coefficient of each term is n!/(a1!a2!...an!) where a1 to an denote the orders of derivatives of functions u1 to un. Additionally, Σaj = n, meaning the total order of derivatives in each term sums to n. This generalized rule was shown to reduce to Leibnizs formula for two functions. Further, an example demonstrated its application for a product of three functions. Compared to differentiating such products term-by-term, the new formula requires significantly less algebraic manipulations.
In conclusion, this research presented a broader, syste-matic rule for obtaining higher-order derivatives of products of multiple differentiable functions. It has theoretical and practical implications for fields relying on differentiation like physics, engineering, and the optimization. Further studies can explore if additional generalizations are possible using alternative approaches. With analytical proofs and illustrative examples provided, this work contributes a useful extension to foundational calculus rules.
We are grateful to all the dear professors for providing their information regarding this research.
The author have declared no conflict of interest.
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Academic Editor
Dr. Toansakul Tony Santiboon, Professor, Curtin University of Technology, Bentley, Australia
MA in Mathematics, Faculty of Science, Islamic Azad University, Karaj branch, Iran
Sohrabi A. (2024). Generalization and cogitation of Leibniz derivative rule, Int. J. Mat. Math. Sci., 6(1), 1-4. https://doi.org/10.34104/ijmms.024.0104