Re: Love intensity, distance and time

[Tuan V Nguyen <t.nguyen@garvan.unsw.edu.au>]

Hello VNSA lovers and folks,

	I totally agree with anh AiViet that love is not a 
single value function. It is definitely a dynamic system and 
is thus not easy to handle. I would love to see Zung 
entertaining us on the concept of single value function 
(sorry to call you again Zung, but this time it is anh 
AiViet, not me!)

	Just add to anh AiViet's idea of "with the same 
distance and time the intensity depends also on the path 
leading to that point", I want to put I in the context of a 
stochastic system as follow. In love, we all have experience 
that after a certain period of honeymoon, "war" will normally 
be occurred, and after such an occurrence, the intensity of 
love usually increases. So, the intensity at time t itself is 
dependent on the previous time, e.g. t-i, where 
i=1,2,3,...,T. OK, still denoting the intensity of love, 
distance and time by I, D and T, respectively. Now, instead 
of considering I as a function of T and D, why not consider 
I(t) as a function of I(t-i) and D - a time-series problem!

	Any more idea?

	Tuan V Nguyen



At 06:48 AM 2/26/97 -0600, you wrote:
>Hi all,
> I want to add just one idea to your extreemely interesting discussion:
> I think the intensity of love is not a single value function. As any 
>dynamic system ( sorry, entropy again) love has stabel, chaotic, 
>bifurcation state). There should be catastrof.
>  The evidence is that with the same distance and time the intensity 
>depends also on the path leading to that point.
> If you want to know more than the concept of single value functions
>in such dynamical systems we can ask Anh Tien Zung to give a brief 
>review of this very exciting are of Math.
>  Cheers
> Aiviet 
>
>On Tue, 25 Feb 1997, Tuan V Nguyen wrote:
>
>> Hello La^m, Vu~, Minh Hie^`n and all the lovers,
>> 
>> 	To me, in love there are three variables, namely, 
>> intensity of love (I), distance (D) and time (T). Now, 
>> according to your hypothetical graph, I is a Gaussian 
>> function of T or D. But, I think it is probably more 
>> complicated that this.