let's look at this for a moment from the more practical side, shall we?
"equivalent point" is nothing mother nature knows anything about nor cares for. With respect to physics, nothing special is happening there, and even biological systems pretty much don't give a damn about those , in general.
... except one biological system, and that is "humans", and amongst them mostly only those, who're in for chemical analysis.
WE want to know when something meaningfull we've done (for example: add an acid to a base) , and which we can measure in its extend, would be
equivalent to something else we, however, can't see/measure/detect directly, and hence need to figure out indirectly.
That's what all this fuzz with "equivalent point" is all about, and why there at times might be several equivalent points (depending on your mode of detection) and all that.
It's
us humans, looking out for some simple observables ( like: a huge jump in pH and thatlike) and our different opinions on which observables might be the most easiest ( best, sharpest, important, best suited to our machines at hand, ... you name it) to watch out for, who are responsible for this chaos of un-precision in terms of mathematical definitions.
lets, for example, take a look at the titration of phosphoric acid, waterbased(called "c
0" hereafter) , with (additional) NaOH staring "x" , and with pH ( solution) being the observable, i.e. "y"
the resulting graph should ( at a fixed temperature and all that...) look like this:
(taken from:
link )
now, everybody who even knows basics in
analysis in math immediately will know, that for using
calculus on this kind of problems you'd watch out for very special properties of this graph, like turning points ( i.e. y''=0 ), local maximum slope (i.e. y'''=0)
... even [itex] \lim_{x \to \infty} (y) [/itex] , which should tell you c
0(NaOH) (in case you didn't know beforehand)
there you are: that's where all your differential equations come into play if you wanted to solve this properly. i.e extract c
0 from this graph
furthermore, you would immediately see that if you solved those equations, for example for those turning points c(acid)= c(corresp. base) is only
approximately correct, and that, besides, pH=pKs isn't
exactly true , either.
[irony on] take that, bugger, and stick'em pH-indicators somewhere the sun doesn't shine ... [/ irony off]
is it, really?
no, of course it is not.
Still our definition given earlier holds:
Σ_Bases (n0(Base)*k(Base)) = Σ_Acids (n0(Acid)*j(Acid))
it's just the relation between those significant elements in the graph and our desired result that became a bit more complicated.
it's
the function mother nature provides that doesn't make analysis of this problem easy, not our definition of what we want to know (even if there were several "ideal" equivalents to watch out for, i.e. n(NaOH) = n (H
3PO
4) ; n(NaOH) = n(H
2PO
4-)= 2 n (H
3PO
4) and so on)
... and only if we try to simplify this function, i.e work out an equivalent function that in the desired area (i.e our ""equivalent point of choice") is next to identical in y ( i.e. neglect subterms of minor importance for y , like for example those depending on K
w or K
a of "far away" dissociation steps) will we get rid of those differential equations we else would need to recalculate the what we can measure to the what we want to know.
is this approach justified?
if we'd talk phosphoric acid: yes (as results usually still meet the traditional standards of precision required, i.e. +/- 0.1%), it's good enough for almost all relevant tasks we wish to perform (like, for example, prepare a buffer for an experiment)
with other acids (or , to be more general, "substances"), this might be different (as , for example, the K-values might be too close to "separate"), and you really might need to solve those differential equations to get somewhere at all.
but still, you'd be looking for the situation where Σ_Bases (n
0(Base)*k(Base)) = Σ_Acids (n
0(Acid)*j(Acid)) would be true, not matter how complicated this might be to "extract" from the graph measured
regards
Ingo