Is There a Simple Way to Compute Derivatives for Factorials Beyond the Basics?

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Discussion Overview

The discussion revolves around the computation of derivatives for factorials, particularly exploring methods beyond basic approaches. It touches on the nature of factorials as discrete functions and the implications for derivative calculations.

Discussion Character

  • Exploratory, Technical explanation, Debate/contested

Main Points Raised

  • One participant inquires about a simple method to compute derivatives for factorials beyond basic cases.
  • Another participant requests clarification on the specific problem being addressed.
  • A third participant suggests that the Gamma function may be relevant to the discussion, providing a link for further reference.
  • A different participant argues that since factorials are discrete functions, there is no continuous derivative, proposing a formulation for the discrete derivative based on integer values.
  • This participant presents a mathematical derivation for the discrete derivative of the factorial function, concluding with an expression involving factorials and integer values.
  • There is a note expressing frustration with LaTeX formatting, indicating challenges in presenting mathematical expressions clearly.

Areas of Agreement / Disagreement

Participants do not reach a consensus on the best approach to compute derivatives for factorials, with differing views on the relevance of the Gamma function and the nature of derivatives for discrete functions.

Contextual Notes

The discussion highlights the distinction between continuous and discrete derivatives, with some assumptions about the applicability of certain mathematical concepts to factorials that remain unresolved.

Ebolamonk3y
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Is there a simple neat process to compute derivates for factorials beyond the simple ones...
 
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I don't understand... can you post the actual problem?
 
Given that the factorial is a discrete function, not a continuous one, there is no continuous derivative, so the discrete derivative is simple to formulate from this basis.

[tex] <br /> f(x) = x!<br /> [/tex]
[tex] <br /> \frac{df}{dx} = \frac{\delta f}{\delta x}<br /> = \frac{f_1-f_0}{x_1-x_0}<br /> [/tex]

Now because f(x) is discrete, the only important values are integers so

[tex] <br /> x_1-x_0=1 <br /> [/tex]

[tex] <br /> \frac{df}{dx} = (x_1)! - (x_0)! <br /> [/tex]

substituting the general x for

[tex] <br /> x_0<br /> [/tex]

and x+1 for

[tex] <br /> x_1 <br /> [/tex]

we get

[tex] <br /> \frac{df}{dx} = (x+1)! - x!<br /> = (x+1)*x! - x!<br /> [/tex]
[tex] = x! * (x+1-1)<br /> = x!*x<br /> = x^2 * (x-1)!<br /> [/tex]

There is your discrete derivative for integer values of x, it is the difference between the value of f at x and x+1 in terms of x.


Note: LaTeX friggin hates me.
 
Last edited:

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