Expressing recursive sequences explicitly

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The discussion focuses on expressing recursive sequences explicitly, particularly the recurrence relation ##x_{n+1}=x_n+2+4n##, which simplifies to ##x_n=2n^2##. Participants explore various methods for deriving explicit formulas, including assuming polynomial forms and analyzing specific sequences like ##x_{n+1}=x_n+2^n##. The conversation also touches on more complex recurrences, such as those with nonlinear dependencies, and highlights the challenges in finding general solutions for these types of problems, referencing S. Elaydi's "An Introduction to Difference Equations" as a valuable resource.

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  • Understanding of recurrence relations and sequences
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  • Basic knowledge of difference equations
  • Concepts of linear and nonlinear dynamics in mathematics
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  • Learn about nonlinear recurrence relations and their behaviors
  • Explore the logistic map and its implications in chaotic systems
  • Read S. Elaydi's "An Introduction to Difference Equations" for deeper insights
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Mathematicians, researchers in dynamical systems, and students studying difference equations will benefit from this discussion, particularly those interested in solving complex recursive sequences.

Nathanael
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Take, for example, ##x_{n+1}=x_n+2+4n\text{ with }x_0=0##. How would you express this explicitly in terms of n?

The only method I've thought of is to assume it's of the form ##x_n=an^2+bn+c## and then write out the first few terms ##\{x_0=0,x_1=2,x_2=8\}## to get a system of equations for the constants a,b,c:

##c=0##
##a+b+c=2##
##4a+2b+c=8##
##\Rightarrow x_n=2n^2##

Does anyone have another method?Suppose I have ##x_{n+1}=x_n+2^n##. I can still find ##x_n## explicitly in the same way by assuming it's of the form ##a2^n+b##

So, if I had something like ##x_{n+1}=x_n+\sqrt{n}+n^{-\pi}##, should I then assume it's of the form ##an^{3/2}+bn^{1-\pi}+c## ?But now what about something with a nonlinear dependence on xn, like ##x_{n+1}=(n^2+n)x_n+1## or maybe even ##x_{n+1}=2^{x_n}+n##. Are there any general methods for solving these types of problems?
 
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You have brought up an interesting topic. It is field of active research with ties to numerous other fields of pure and applied mathematics, e.g. dynamical systems, number theory, orthogonal polynomials.
Nathanael said:
But now what about something with a nonlinear dependence on ##x_n##, like ##x_{n+1}=(n^2+n)x_n+1##
This is still linear in ##x_n##. More precisely, it's a one-dimensional, linear non-homogeneous (because of the ##1## on the right) recurrence with non-constant (because of the ##n^2 + n## in front of ##x_n## ) coefficients.
Nathanael said:
Are there any general methods for solving these types of problems?
You may enjoy: S. Elaydi, An Introduction to Difference Equations, Springer, 3rd Edition, 2005. Incidentally, in general the answer is "no". For example, the famous logistic map ##x \mapsto r x(1 - x)## looks very simple, but may display so-called "chaotic" behavior, depending on the value of the parameter ##r##.
 
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Try telescoping the terms : ## x_n - x_0 = \sum_{k=0}^{n-1} (x_{k+1} - x_k)##
 
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