I have a hard time finding the analytical solution to the following non-linear equation: ( 1

sg101cp6vv

sg101cp6vv

Answered question

2022-05-16

I have a hard time finding the analytical solution to the following non-linear equation:
( 1 + x ) 1 p + p p 1 p x ( p 1 ) 1 = 0
where p ] 0 , 1 [ and x > 1. I would like to have a solution x in terms of p for each fixed p in the specified interval. Of course it's possible that no analytical form of the solution exists. If so, I'd also be happy to hear an argument why that is the case. However, for some values of p the solution is 'nice', for example for p = 1 2 it's easy to compute that x = 8 and for p = 1 3 I obtained x = 9 16 ( 5 3 + 11 + 64 3 )
Any kind of help is greatly appreciated!

Answer & Explanation

lutzantsca885

lutzantsca885

Beginner2022-05-17Added 15 answers

This a highly transcendental equation and, for general p, you will need some numerical method.
It effectively happens that for some particular values of p, there are explicit solutions (this is the case for p = 1 5 , 2 5 , 3 5 , 4 5 , 1 4 , 2 4 , 3 4 , 1 3 , 2 3 but I do not think that we could do anything for, say, p = 1 6 .
Let k = ( p 1 ) p p 1 p ( k varies between −1 and 0) and p = m n ( m and n being integers, m < n). The equation write
( x + 1 ) 1 m n = 1 k x ( x + 1 ) n m = ( 1 k x ) n
which makes that we face a polynomial of degree n in x. In fact x = 0 is a solution; so the polynomial of degree ( n 1 ) and we do not know to solve analytically quintic polynomials. Then ... ?
In French, we have an expression which says "This, Sir, is the cause of your daughter's being dumb"
We can have approximations; for example, when p is close to zero, a Taylor expansion gives
p ( x x log ( p ) x log ( x + 1 ) log ( x + 1 ) ) + O ( p 2 )
If we neglect the term log ( x + 1 ) we have x e p 1 which could be a good starting point.
Similarly, when p is close to 1, we have
( p 1 ) ( x e log ( x + 1 ) ) + O ( ( p 1 ) 2 )
which gives
x = e W 1 ( e 1 1 e ) 1 4.76
which is probably very close to the limit.
Between these two limits, it seems that the function looks like an hyperbola. A quick and dirty nonlinear regression gives as an estimate
x 0 = 1 p ( 373 181 p 2 / 3 + 1882 697 )
which seems to be quite good (as shown below).
We can generate a first iterate of Newton method and get
x 1 = ( x 0 + 1 ) p p x 0 1 ( p 1 ) ( p p 1 p ( x 0 + 1 ) p 1 )
( p x 0 x 1 solution 0.05 59.5967 59.4965 59.4964 0.10 31.4412 31.4184 31.4184 0.15 21.8795 21.8791 21.8791 0.20 17.0246 17.0316 17.0316 0.25 14.0718 14.0808 14.0808 0.30 12.0789 12.0876 12.0876 0.35 10.6389 10.6465 10.6465 0.40 9.54726 9.55343 9.55343 0.45 8.68954 8.69423 8.69423 0.50 7.99670 8.00000 8.00000 0.55 7.42457 7.42663 7.42663 0.60 6.94356 6.94455 6.94455 0.65 6.53306 6.53316 6.53316 0.70 6.17829 6.17768 6.17768 0.75 5.86837 5.86720 5.86720 0.80 5.59508 5.59353 5.59353 0.85 5.35213 5.35033 5.35033 0.90 5.13459 5.13268 5.13268 0.95 4.93857 4.93666 4.93666 )
Starting with this estimate, Newton method will probably converge in a couple of iterations.
Trying for p = 0.23456
( n x n 0 14.853058 1 14.861762 2 14.861760 )

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