Could anyone please show me if there are any non-obvious
solutions to the following set of equations (or, alternatively,
prove that the solution containing ones is the only
solution):
a+b+c+d+ ('nth'letter) = n
a4+..+('nth' letter)4³a3+b3+..+('nth'letter)
3
I have tried to attack this problem in two basic ways, first I
assumed that there were several solutions to the equations and I
used the expansions for (a+b)2, (a+b)3 and
(a+b)4 (for the n=2 case). However, I don't see any way
of generalising the proof that the only solution for n=2 is when
a=b=1. I then tried using the AMGM inequalities to prove that the
only solution is a=b=c=...=1 - that turned out to be useless.
Any help for the solutions to this equation set would be
liked.
Thanks ...
Yes, the obvious solution with ones is the only solution in
reals. You had the right idea when you tried inequalities; but you
need a slightly different one.
Have you ever heard of Chebshev's inequality? It is a very useful
result.
Consider two sequences ai and bi, where i
runs from 1 to n. Then if
(ai-aj)(bi-bj)
³ 0 for all i, j, then we have 1/n
Sn i=1
aibi ³2(Sn
i=1 ai)(Sn i=1
bi).
Equality holds if and only if one or both of the sequences is
identically equal to a constant.
Can you see how to apply this to your problem?
If I understand correctly, we have:
x1 + x2 + ... + xn = n
x14 + x24 + ... +
xn4 = x13 +
x23 + ... + xn3
where I've let x1 = a, x2 = b, etc.
You can now divide the second equation by the first equation,
re-arrange, and you get:
n(x14 + ... + xn4) =
(x13 + ... +
xn3)(x1 + ... +
xn)
Now the equation is homogeneous so is much easier to work
with.
If you now multiply the RHS out, and collect fourth powers on the
LHS, you end up with:
(n-1)(x14 + x24 + ... +
xn4) = S i¹jxixj3
By AM-GM we have:
xixj3 £ xi4/4 +
3xj4/4
with equality iff xi = xj.
Add the inequality to itself for all distinct pairs (i,j) and you
get:
S i ¹
jxixj3 £ (n-1)(x14 + ... +
xn4)
Since both sides of this are equal (by above) equality must have
occured at every stage of AM-GM. Therefore all the variables are
equal, and as they add to n we have x1 = ... =
xn = 1.
Sorry David, but I haven't seen Chebshev's inequality before,
but I will attempt to apply it to the problem and see if it gives a
slightly diffrent method of solution to Michaels solution.
Thanks for the hints and solutions!
(P.S - this was a problem fron the 'Komal' site that I had managed
to dredge up from an old folder.)
I suppose a lot of inequalities like this have more than one solution and you can pretty much pick whichever one of the standard inequalites you think will work. Maybe the Chebyshev route is a bit roundabout; sorry. Anyway, have fun.
I have been thinking about both the Cheshev inequalitiy and the AMGM inequality. Are these meant to be particular cases of the power mean inequality? How does one prove this more general inequality?
Chebyshev's inequality isn't a case of the power mean
inequality. AM-GM can be regarded as such, but only with a little
fiddling around (the limit of the nth power mean as n->0 is the
geometric mean, but this is quite fiddly to prove).
However, AM-GM and the power mean inequality are both cases of a
wonderfully powerful result called Jensen's inequality. Define a
function f(x) to be convex if f''(x) ³ 0 for all x. Then if f is convex, we have
for all sequences xi (i runs from 1 to n) that:
1/n Sn i=0
f(xi) ³ f(1/n
Sn i=0
xi)
that is, the average of the function is greater than the function
of the average. Try f(x)=x2, 1/x, -log x, whatever else
you feel like (but remember to check its second derivative
first!).
David
That seems like a very general result (it seems as if maths is full of such theorems which link apparently unlinkable mathematical topics). You wouldn't happen to tell me why the second derivative of f(x) being greater than zero for all x implies that the function is convex (from a graphical view what does being convex mean?). Also, where does this Chebshev inequality come from? I remember seeing this inequality in a text book to do with vectors, but I don't remember the proof of it. I would also appreciate it if somebody could point me in the general direction of possibly an inductive proof of the AMGM inequality and the set of equations that started this thread (I ask for an inductive proof for the set of equations as I attempted some kind of solution using this method when I first saw the problem!). Thanks...
Well, there are various definitions of convexity and associated
deep theorems, but in this context we say a function is convex if
the line connecting two points on its graph lies wholly above the
graph. For example, f(x)=x2 is convex; picture the line
connecting any two points on a parabola.
Intuitively, a function is convex if it "curves upwards."
As for Chebyshev's inequality, are you sure it was in a book on
vectors? There are several inequalities that are effectively
statements about vectors (principally the Cauchy-Schwartz
inequality - have you heard of this?) but as far as I know there is
no pure vector form of Chebyshev. Chebyshev's is actually a rather
odd inequality and doesn't sit well with any others I know
of.
The way I tend to think of Chebyshev's inequality is in terms of
statistics. When you have a set of n points on a graph and you are
fitting the best possible straight line to them, you get the
following expression for the slope of the line:
(n Sn i=1xiyi - Sn i=1xiSn
j=1yj)/(n Sn i=1xi2 - (Sn i=1xi)2)
Now when x and y are similarly ordered, so y is large when x is
large, and small when x is small, then you would expect the line to
have positive slope; and that is exactly what Chebyshev tells us,
since the expression in the numerator is precisely that which
occurs in Chebyshev when you recast it as something > 0
(multiplied by n2). So that is how I remember
Chebyshev.
David
(PS. Let's kill this discussion now and continue in the new one at
the top of the list.)
You are quite right David when you say that it was the Cauchy Scwarz inequality in my vectors book (not the Chebyshev one!).