Predicting the Next Term in Recursive Derivatives Series

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Discussion Overview

The discussion revolves around predicting the next term in a recursive derivatives series, which is related to the series solution of a differential equation. Participants explore the sequence's properties, potential formulas, and the context of its derivation.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • One participant presents a sequence of numbers and asks for predictions of the next line.
  • Another participant expresses curiosity about the origin of the question.
  • A participant suggests a relationship between the first and last elements of the row, indicating a pattern based on the sum of previous elements multiplied by -1.
  • One participant claims the sequence is derived from the series solution to a differential equation and provides what they believe to be the next line of the sequence.
  • A request is made for a formula to generate specific elements of the series, particularly for the fifth row.
  • A participant shares their work on finding a closed form or approximate solution for a variant of the Poisson-Boltzmann equation, detailing their attempts to generate a power series using recursive derivatives.
  • The participant provides Mathematica code related to their problem, showcasing their efforts to check the series and derive terms.

Areas of Agreement / Disagreement

Participants express varying degrees of certainty about the sequence and its derivation. There is no consensus on the next term or the formula for generating elements, and multiple approaches and hypotheses are presented without resolution.

Contextual Notes

Some participants note limitations in their understanding of the sequence and the methods used to derive it, indicating a reliance on specific definitions and assumptions that may not be universally accepted.

nassboy
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Can anybody predict the next line in the sequence?

-1
1 -1
-3 7 -4
15 -63 82 -34
-105 729 -1638 1510 -496
945 -10545 36684 -56568 40540 -11056


Good Luck!
 
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Just for my curiosity, where is this question from?
 
first element in row : : : last element in row
-10,395 : : : : : : : : sum of previous elements in row * -1

I'm likewise curious to as to what this sequence is to. It might help to figure out the sequence.

It would look roughly something like:
-10,395 161,051 -1,054,500 1,907,568 –1,207,882 1,641,870 -278,300

That is, each element should roughly be around the value given (within 25% error maybe?), except that the first value is correct.
 
Hi All...

The sequence comes from the series solution to a differential equation,,,,

and the next line is...

-10395 186075 -946392 2174820 -2552292 1497688 -349504
 
What's the formula for producing some of these elements (like row 5 for example)?
 
I've just posted this to the differential equations section...it should explain everything

I've been working on finding a closed form solution or an approximate solution for a variant of the Poisson-Boltzmann equation.

y''[x]=A*(1-e^(-y[x])

I'm unable to solve it using methods such as separation of variables, but I have been able to generate a power series using recursive derivatives. I've pasted the mathematica code below...I've been unable to find the pattern to generate the series...can anybody help?

In[2]:= (*Define Recursive Derivative Function *)

In[3]:= Derivative[N_][Y][0]:=D[Y''[x],{x,N-2}] /. x->0

In[4]:= (*Define the Problem*)

In[5]:= Y''[x]=A*(1-E^(-Y[x]))

Out[5]= A (1-E^-Y[x])

In[6]:= Y''[0]=Y''[x] /. x->0

Out[6]= A (1-E^-Y[0])

In[7]:= Y'[0]=0

Out[7]= 0

In[8]:= (*Check the Series*)

In[9]:= Y[0]+Integrate[Integrate[Series[Y''[x],{x,0,10}],x],x]

Out[9]= Y[0]+1/2 (A-A E^-Y[0]) x^2+1/24 A^2 E^(-2 Y[0]) (-1+E^Y[0]) x^4-1/720 (A^3 E^(-3 Y[0]) (4-7 E^Y[0]+3 E^(2 Y[0]))) x^6+(A^4 E^(-4 Y[0]) (-34+82 E^Y[0]-63 E^(2 Y[0])+15 E^(3 Y[0])) x^8)/40320-((A^5 E^(-5 Y[0]) (496-1510 E^Y[0]+1638 E^(2 Y[0])-729 E^(3 Y[0])+105 E^(4 Y[0]))) x^10)/3628800+(A^6 E^(-6 Y[0]) (-11056+40540 E^Y[0]-56568 E^(2 Y[0])+36684 E^(3 Y[0])-10545 E^(4 Y[0])+945 E^(5 Y[0])) x^12)/479001600+O[x]^13
 

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