Can x(x+y) Be Proved to Be ≤ 2 for Positive Real Numbers?

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In summary, the significance of "x(x+y) ≤ 2" in this proof is that it is the main focus of the proof, which aims to show that this statement is true for all positive real numbers. The proof typically involves using mathematical techniques such as induction, contradiction, or direct proof and assumes that x and y are positive real numbers and that the properties and rules of real numbers hold true. This proof only applies to positive real numbers and may not hold true for other types of numbers. The title "POTW #503 - June 24, 2022" signifies that it is the 503rd problem in the series, to be published on June 24, 2022, and is likely chosen as a
  • #1
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Here is this week's POTW:

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Let ##x## and ##y## be the positive real numbers such that ##x^5+y^3 \le x^2+y^2##.

Prove that ##x(x+y)\le 2##.

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  • #2
This is not an answer but an observation of the relevant graphs for what is going on. I observe a funny shape.
1662277187219.png
 
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  • #3
anuttarasammyak said:
This is not an answer but an observation of the relevant graphs for what is going on. I observe a funny shape.
View attachment 313738
Yes, I was playing around with this and also saw the same. To expand a bit...

##x^5 +y^3 \le x^2 + y^2## with ##x, y>0## defines a region in the 1st quadrant of the xy plane as shown below:

desmos-graph(8).png


Call this region, shaded red, ##R_1##. Call the red boundary-line (corresponding to the equality condition) ##B_1##.

Similarly ##x(x+y) \le 2## defines region ##R_2## with boundary-line ##B_2## (blue).

desmos-graph(9).png


Overlaying these gives:

desmos-graph(10).png


(If anyone wants to set-up/play with these graphs, see
https://www.desmos.com/calculator/og3edz9st5)

The problem stated is equivalent to showing that ##R_2## completely contains ##R_1##; i.e. that every point (x, y) in ##R_1## is also in ##R_2##.

(The converse is not necessarily true: there are points in ##R_2## that are not in ##R_1##.)

It is easy to determine that##B_1## passes through (0,1), (1,0) and (1,1) and that ##B_2## passes through (1,1) and (√2,1).

Note that (1,1) is a common point and we can show ##B_1## and ##B_2## just touch here – i.e. they have a common tangent – as follows:

For ##B_1:x^5 +y^3 - x^2 - y^2=0##
Differentiating implicitly gives:
##\frac {dy}{dx} = \frac {x(2- 5x^3)}{y(3y– 2}##
At (1,1) ##\frac {dy}{dx} = \frac {1(2-5*1)^3}{1(3*1-2)} = -3##

For ##B_2: x(x+y) =2##
Differentiating implicitly gives:
##\frac {dy}{dx} = -\frac {2x+y}{x}##
At (1,1), ##\frac {dy}{dx}= -\frac{2*1+1}{1} = -3## the same as for ##B_1##.

We also note that at (1,1) ##B_1## is concave upwards and ##B_2## is concave downwards. From visual inspection ##R_2## entirely contains ##R_1##, as required. But that's no proof.
 

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  • #4
( cont. of my post #2 )
Let us name
Graph 1 : ##x^5-x^2+y^3-y^2=0##
Graph 2 : ##x(x+y)=2##
The x coordinate of the crossing point satisfies
[tex](x-1)(x^7+x^6-x^4+6x^3+6x^2-8x-8)=0[/tex]
So we now (x,y)=(1,1) is a crossing point, let us say it P.
At P by simple calculation
the gradient of graph 1 = the gradient of graph 2 = -3
The second derivative of graph 1 = 4
The second derivative of graph 2 = -54
So we show the graph 2 surpass graph 1 around point P.
This is just a local discussion around P.

The graph of the remaining part of the above crossing point equation

1662282137495.png

So as for x < 1.083... where the red dot point in the graph, we shall not have another crossing which goes with the statement.
The red point should not correspond to another crossing but the x bounded point, but I would like to get a confirmation about my interpretation.
Anyway, the above three lines I said watching the graph are not proof but a speculation.

For graph 1
[tex]\frac{dy}{dx}=-\frac{x(5x^3-2)}{y(3y-2)}[/tex]
dy/dx=0 at x=0, ##(\frac{2}{5})^{1/3}##, i.e. (0,1), ##((\frac{2}{5})^{1/3},\beta)##
where ##\beta^3+\beta^2+(2/5)^{5/3}+(2/5)^{2/3},\beta>0##
dx/dy=0 at y=0, 2/3, i.e. ##(1,0),(\alpha,2/3)## where
##\alpha^5-\alpha^2-4/27=0,\alpha>0##

For graph 2
[tex]\frac{dy}{dx}=\frac{\frac{x}{\sqrt{x^2+4}}-1}{2} <0[/tex]
So y is monotonously decreasing function of x
for x=0, y=##+\infty## >1
for x=##(\frac{2}{5})^{1/3}, y=\frac{\sqrt{(2/5)^{2/3}+4}-(2/5)^{1/3}}{2}## > ##\beta## by numerical calculation
for y=0, x=##\sqrt{2}## > 1
for y=2/3, x=##\frac{2\sqrt{19}-1}{3} > \alpha## by numerical calculation

That means graph 2 surpass graph 1 in region x,y>0.

Thus I wish the statement was proved, though I would like to know a more elegant solution very much.
 
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  • #5
anuttarasammyak said:
( cont. of my post #2 )
Let us name
Graph 1 : ##x^5-x^2+y^3-y^2=0##
Graph 2 : ##x(x+y)=2##
The x coordinate of the crossing point satisfies
[tex](x-1)(x^7+x^6-x^4+6x^3+6x^2-8x-8)=0[/tex]
So we now (x,y)=(1,1) is the crossing point, let us say it P.
At P by simple calculation
the gradient of graph 1 = the gradient of graph 2 = -3
The second derivative of graph 1 = 4
The second derivative of graph 2 = -54
So we show the graph 2 surpass graph 1 around point P.
This is just local discussion around P.
Working out the second derivatives (by hand) was too daunting for me!

It's worth noting that the maximum value of x and the maximum vaue of y in the region of interest (1st quadrant) can easily be found by considering ##\frac {dy}{dx} = 0## and ##\frac {dy}{dx} = ∞##. This can support the visual argument.

However, I presume a rigorous analytical proof is required so I'm stuck.
 
  • #6
anuttarasammyak said:
I wish the statement was proved, though I would like to know a more elegant solution very much.
Me too!
 
  • #7
(Post script to my post #4)
We can make similar problems, e.g.,
------------
For positive real numbers x and y
[tex]x^5-x^2+y^3-y \leq 0[/tex]
satisfy
[tex]y<x^{-3/2}[/tex]
and
[tex]\sqrt{x}+xy<2[/tex]
--------------

1662298193104.png
 
  • #8
anuttarasammyak said:
Thus I wish the statement was proved, though I would like to know a more elegant solution very much.
I found what I think is at least a simple solution;

Given $$x^5+y^3 \le x^2+y^2$$ is valid in some domain ##R_1## we have $$ 0 \le x^2+y^2 - x^5 - y^3$$ we can add the same thing to both sides without changing the inequality, in this case the quantity ##x^2 + xy##;

$$ x^2 + xy \le 2x^2+y^2 - x^5 - y^3 + xy$$ where the RHS has a maximum of 2 for all ##x,y>0## at ##(1,1)## thus

$$x(x + y) \le 2$$ for all ##(x,y)## in ##R_1##
 
  • #9
bob012345 said:
$$ x^2 + xy \le 2x^2+y^2 - x^5 - y^3 + xy$$ where the RHS has a maximum of 2 for all ##x,y>0## at ##(1,1)## thus
Nice. But may I ask how you determined that the RHS has a maximum at (1,1) and that this is the only maximum (for x,y>0)?

(I'm probably being a bit slow but I just can't see how to establish that without some calculus.)
 
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  • #10
Steve4Physics said:
Nice. But may I ask how you determined that the RHS has a maximum at (1,1) and that this is the only maximum (for x,y>0)?

(I'm probably being a bit slow but I just can't see how to establish that without some calculus.)
Thanks. I left that part out for brevity but here is the calculus;

Take the partial derivatives of the function on the RHS $$\frac{\partial f(x,y)}{\partial x} = 4x + y -5x^4 = 0$$ and $$\frac{\partial f(x,y)}{\partial y} = x +2y -3y^2 = 0$$ these yield;

$$y = 5x^4 -4x$$ and $$x = 3y^2 -2y$$ substituting we get;

$$x = 75x^8 -120x^5 -10x^4 + 48x^2 +8x$$ or $$75x^7 -120x^4 -10x^3 + 48x +7 = 0$$

We can test if ##x=1## works and it does. Wolfram Alpha gives another real solution of ##x≈0.90173## but that yields a negative ##y## value and is also a relative minimum so is rejected since we are only concerned with positive ##(x,y)## so ##x=1## yields ##y=1## and we test those
$$f(1,1) = 2x^2 + xy +y^2 - x^5 - y^3 = 2 + 1 + 1 - 1 -1 = 2$$

Here is a plot of the function and the ##z=2## plane and point ##(1,1,2)## for reference.

https://www.math3d.org/oEvyPVWTx
 
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  • #11
bob012345 said:
Thanks. I left that part out for brevity but here is the calculus;
Thanks for taking the time to do that. I thought there might be some non-calculus approach I was missing.

bob012345 said:
$$75x^7 -120x^4 -10x^3 + 48x +7 = 0$$We can test if ##x=1## works and it does. Wolfram Alpha gives another real solution of ##x≈0.90173## but that yields a negative ##y## value and is also a relative minimum so is rejected since we are only concerned with positive ##(x,y)## so ##x=1## yields ##y=1##
The problem (for me) is that this means we are having to use software such as Wolfram Alpha. Otherwise we can't easily demomstrate that (1,1) is the only maximum. For example, there could be a local maximum of (say) 3 at some point in the domain ##R_1##. Ideally, it would be nice to have a software-free approach to eliminate such possibilities.

Edit: minor change/typo's.
 
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  • #12
Steve4Physics said:
Thanks for taking the time to do that. I thought there might be some non-calculus approach I was missing.The problem (for me) is that this means we are having to use software such as Wolfram Alpha. Otherwise we can't easily demonstrate that (1,1) is the only maximum. For example, there could be a local maximum of (say) 3 at some point in the domain ##R_1##. Ideally, it would be nice to have a software-free approach to eliminate such possibilities.

Edit: minor change/typo's.
Thinking about this a little more I think we can demonstrate there is only one relevant maximum by thinking about the form of the derivatives which are used to find the maxima of the function on the RHS above;

$$x = 3y^2 -2y$$ and
$$y = 5x^4 -4x$$

From these we can deduce the following;

The first is a parabola opening to the right or positive x-axis symmetrical around the line ##y=\frac{1}{3}##, the vertex is at ##(-\frac{1}{3}, \frac{1}{3})## which intersects the y-axis at ##(0,0)## and ##(0,\frac{2}{3})## and it is monotonically increasing in the first quadrant for ##x>0## and ##y>\frac{2}{3}##,

The second is a quartic which opens towards positive ##y##, has a vertex in the fourth quadrant and has two roots one at ##(0,0)## and the other at ##(\sqrt[3]{\frac{4}{5}}, 0)## and is monotonically increasing for ##x>\sqrt[3]{\frac{4}{5}}## and ##y>0##.

There can be only one intersection of these two monotonically increasing functions in the positive quadrant which must then be at the point previously identified at ##(1,1)##. Thus this is the only maximum of the function in the positive quadrant and is equal to 2.

Though we did not require it, visually, it looks like this;
desmos-graph (28).png
You made me use my brain a little more @Steve4Physics , thanks!
 
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FAQ: Can x(x+y) Be Proved to Be ≤ 2 for Positive Real Numbers?

What is the significance of proving x(x+y) ≤ 2 for positive real numbers?

The proof of x(x+y) ≤ 2 for positive real numbers is significant because it demonstrates an important mathematical concept known as the Cauchy-Schwarz inequality. This inequality is used in many areas of mathematics and physics, making it a fundamental result to understand.

How can the Cauchy-Schwarz inequality be applied in real-world situations?

The Cauchy-Schwarz inequality has many practical applications, such as in statistics, optimization problems, and signal processing. It is also used in the proof of other important theorems, such as the triangle inequality and the AM-GM inequality.

What is the proof for x(x+y) ≤ 2 for positive real numbers?

The proof for x(x+y) ≤ 2 for positive real numbers involves using the Cauchy-Schwarz inequality and basic algebraic manipulations. It can be shown that the maximum value of x(x+y) occurs when x = 1 and y = 1, which results in a value of 2. Therefore, x(x+y) ≤ 2 for all positive real numbers.

Can the Cauchy-Schwarz inequality be extended to complex numbers?

Yes, the Cauchy-Schwarz inequality can be extended to complex numbers. In this case, the inequality becomes |z1z2| ≤ |z1||z2|, where z1 and z2 are complex numbers. This extension is known as the Cauchy-Schwarz inequality for complex numbers.

What are the key takeaways from the proof of x(x+y) ≤ 2 for positive real numbers?

The key takeaways from the proof of x(x+y) ≤ 2 for positive real numbers are the understanding of the Cauchy-Schwarz inequality and its applications, as well as the importance of algebraic manipulations and the concept of maximum values in mathematical proofs. It also highlights the power of using simple mathematical concepts to prove complex results.

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