|
18
|
|
edited Mar 10 2010 at 16:40
|
Almost 25 years ago a professor at Indiana U showed me the following problem:
given a map $\mathbb{Z}^2\rightarrow\mathbb{R}$ such that the sum inside every square (parallel to the axes) is $\leq1$ in absolute value, prove that the sum inside every rectangle (parallel to axes) is $\leq4$ in absolute value.
It's fun and not too hard to prove.
I believe that at the time I was able to show that the upper limit can be improved to 3.975 - but that was a lot harder and I can't say now that this is for sure the case. Also, with a computer search (old TRS 80) I produced an example containing a rectangle of area $3\frac{1}{3}$.
These are some of the questions that come to mind:
- can the upper limit of 4 (or 3.975?) be improved?
- can the lower limit of $3\frac{1}{3}$ be improved?
- any proof/conjecture about the optimal limit?
- do the results extend to maps $\mathbb{R}^2\rightarrow\mathbb{R}$, provided they are "nice" enough?
- are any other generalizations of this problem possible (eg. different tilings of the plane or of other manifolds, or higher dimensions)?
Update 1 (updated 7th March 2010). See answers and comments below for examples achieving ratios as high as 181/48 = 3.7708333...!
Update 2. Here is a sketch of the proof that 4 is an upper limit.
A limit of 254/67=3.79104477... is now known (see answers below), but the proof for that needs to be seeded with at least some known limit.
Given a rectangle R of size AxB, with A < B, call it "thin" if $B\geq2A$ or "fat" if $B\leq2A$ (the case B=2A is irrelevant as it is the union of 2 squares).
One can draw the 4 squares on the sides of R, either facing outwards (size of envelope = (2B+A)x(2A+B)), or inwards (some spilling out on the opposite sides, size of envelope = (2B-A)xB) - call these the "big-envelope" and the "small-envelope".
Assume that R has sum 4+$\epsilon$ and that every square has sum between -1 and 1. We have 3 cases, all easy exercises to work out:
(1) for any R, the fat (2A+B)x(2B+A) big-envelope will have sum $\leq-4-3\epsilon$.
(2) for a fat R, a (2A-B)x(2B-A) sub-rectangle of the small-envelope will have sum $\leq-4-3\epsilon$;
(3) for a thin R, a thin (B-2A)x(2B-A) sub-rectangle of the small-envelope, will have sum $\geq4+3\epsilon$;
Applying any of (1)+(2), (2)+(1) or (3)+(3) produces a 3Ax3B rectangle with
sum $\geq4+9\epsilon$. Iterating n times produces a $3^{n}A \times 3^{n}B$ rectangle with sum $4+9^{n}\epsilon$. Such rectangle is made of no more than AxB squares (each of size $3^{n} \times 3^{n}$) and therefore, for large enough n, one of the squares will have sum >1. $\square$
Reformulation . Given an abelian group G and a map
f: GxGxGxG -> $\mathbb{R}$ such that
1) -1<=f(a,b,c,d)<=1 if d*a=c*b
(boundedness of squares),
2) f(a,b,c,d)+f(c,b,e,d)=f(a,b,e,d) for all a, b, c, d, e in G
(horizontal additivity of rectangles),
3) f(a,b,c,d)+f(a,d,c,e)=f(a,b,c,e) for all a, b, c, d, e in G
(vertical additivity of rectangles),
can we find a universal best bound b(G) such that -b(G) <= f <= b(G)?
All the previous work on this question amounts to this the result:
181/48 <= b($\mathbb{Z}$) <= b($\mathbb{Z}x\mathbb{Z}$) <= 254/67
For non-abelian groups one could perhaps generalize the notion of "square"
by lifting it from G/[G,G].
|
|
|
|
17
|
|
edited Mar 10 2010 at 16:33
|
Almost 25 years ago a professor at Indiana U showed me the following problem:
given a map $\mathbb{Z}^2\rightarrow\mathbb{R}$ such that the sum inside every square (parallel to the axes) is $\leq1$ in absolute value, prove that the sum inside every rectangle (parallel to axes) is $\leq4$ in absolute value.
It's fun and not too hard to prove.
I believe that at the time I was able to show that the upper limit can be improved to 3.975 - but that was a lot harder and I can't say now that this is for sure the case. Also, with a computer search (old TRS 80) I produced an example containing a rectangle of area $3\frac{1}{3}$.
These are some of the questions that come to mind:
- can the upper limit of 4 (or 3.975?) be improved?
- can the lower limit of $3\frac{1}{3}$ be improved?
- any proof/conjecture about the optimal limit?
- do the results extend to maps $\mathbb{R}^2\rightarrow\mathbb{R}$, provided they are "nice" enough?
- are any other generalizations of this problem possible (eg. different tilings of the plane or of other manifolds, or higher dimensions)?
Update 1 (updated 7th March 2010). See answers and comments below for examples achieving ratios as high as 181/48 = 3.7708333...!
Update 2. Here is a sketch of the proof that 4 is an upper limit.
A limit of 254/67=3.79104477... is now known (see answers below), but the proof for that needs to be seeded with at least some known limit.
Given a rectangle R of size AxB, with A < B, call it "thin" if $B\geq2A$ or "fat" if $B\leq2A$ (the case B=2A is irrelevant as it is the union of 2 squares).
One can draw the 4 squares on the sides of R, either facing outwards (size of envelope = (2B+A)x(2A+B)), or inwards (some spilling out on the opposite sides, size of envelope = (2B-A)xB) - call these the "big-envelope" and the "small-envelope".
Assume that R has sum 4+$\epsilon$ and that every square has sum between -1 and 1. We have 3 cases, all easy exercises to work out:
(1) for any R, the fat (2A+B)x(2B+A) big-envelope will have sum $\leq-4-3\epsilon$.
(2) for a fat R, a (2A-B)x(2B-A) sub-rectangle of the small-envelope will have sum $\leq-4-3\epsilon$;
(3) for a thin R, a thin (B-2A)x(2B-A) sub-rectangle of the small-envelope, will have sum $\geq4+3\epsilon$;
Applying any of (1)+(2), (2)+(1) or (3)+(3) produces a 3Ax3B rectangle with
sum $\geq4+9\epsilon$. Iterating n times produces a $3^{n}A \times 3^{n}B$ rectangle with sum $4+9^{n}\epsilon$. Such rectangle is made of no more than AxB squares (each of size $3^{n} \times 3^{n}$) and therefore, for large enough n, one of the squares will have sum >1. $\square$
Reformulation . Given an abelian group G and a map
f: GxGxGxG -> $\mathbb{R}$ such that
1) 1<=f(a,b,c,d)<=1 if d*a=c*b
(boundedness of squares),
2) f(a,b,c,d)+f(c,b,e,d)=f(a,b,e,d) for all a, b, c, d, e in G
(horizontal additivity of rectangles),
3) f(a,b,c,d)+f(a,d,c,e)=f(a,b,c,e) for all a, b, c, d, e in G
(vertical additivity of rectangles),
can we find a universal best bound b(G) such that -b(G) <= f <= b(G)?
All the previous work on this question amounts to this result:
181/48 <= b($\mathbb{Z}$) <= b($\mathbb{Z}x\mathbb{Z}$) <= 254/67
For non-abelian groups one could perhaps generalize the notion of "square"
by lifting it from G/[G,G].
|
|
|
|
16
|
|
edited Mar 9 2010 at 1:27
|
Almost 25 years ago a professor at Indiana U showed me the following problem:
given a map $\mathbb{Z}^2\rightarrow\mathbb{R}$ such that the sum inside every square (parallel to the axes) is $\leq1$ in absolute value, prove that the sum inside every rectangle (parallel to axes) is $\leq4$ in absolute value.
It's fun and not too hard to prove.
I believe that at the time I was able to show that the upper limit can be improved to 3.975 - but that was a lot harder and I can't say now that this is for sure the case. Also, with a computer search (old TRS 80) I produced an example containing a rectangle of area $3\frac{1}{3}$.
These are some of the questions that come to mind:
- can the upper limit of 4 (or 3.975?) be improved?
- can the lower limit of $3\frac{1}{3}$ be improved?
- any proof/conjecture about the optimal limit?
- do the results extend to maps $\mathbb{R}^2\rightarrow\mathbb{R}$, provided they are "nice" enough?
- are any other generalizations of this problem possible (eg. different tilings of the plane or of other manifolds, or higher dimensions)?
Update 1 (updated 7th March 2010). See answers and comments below for examples achieving ratios as high as 181/48 = 3.7708333...!
Update 2. Here is a sketch of the proof that 4 is an upper limit.
A limit of 3.8 254/67=3.79104477... is now known (see answers below), but the proof for that needs to be seeded with at least some known limit.
Given a rectangle R of size AxB, with A < B, call it "thin" if $B\geq2A$ or "fat" if $B\leq2A$ (the case B=2A is irrelevant as it is the union of 2 squares).
One can draw the 4 squares on the sides of R, either facing outwards (size of envelope = (2B+A)x(2A+B)), or inwards (some spilling out on the opposite sides, size of envelope = (2B-A)xB) - call these the "big-envelope" and the "small-envelope".
Assume that R has sum 4+$\epsilon$ and that every square has sum between -1 and 1. We have 3 cases, all easy exercises to work out:
(1) for any R, the fat (2A+B)x(2B+A) big-envelope will have sum $\leq-4-3\epsilon$.
(2) for a fat R, a (2A-B)x(2B-A) sub-rectangle of the small-envelope will have sum $\leq-4-3\epsilon$;
(3) for a thin R, a thin (B-2A)x(2B-A) sub-rectangle of the small-envelope, will have sum $\geq4+3\epsilon$;
Applying any of (1)+(2), (2)+(1) or (3)+(3) produces a 3Ax3B rectangle with
sum $\geq4+9\epsilon$. Iterating n times produces a $3^{n}A \times 3^{n}B$ rectangle with sum $4+9^{n}\epsilon$. Such rectangle is made of no more than AxB squares (each of size $3^{n} \times 3^{n}$) and therefore, for large enough n, one of the squares will have sum >1. $\square$
|
|
|
|
15
|
|
edited Mar 7 2010 at 23:18
|
Almost 25 years ago a professor at Indiana U showed me the following problem:
given a map $\mathbb{Z}^2\rightarrow\mathbb{R}$ such that the sum inside every square (parallel to the axes) is $\leq1$ in absolute value, prove that the sum inside every rectangle (parallel to axes) is $\leq4$ in absolute value.
It's fun and not too hard to prove.
I believe that at the time I was able to show that the upper limit can be improved to 3.975 - but that was a lot harder and I can't say now that this is for sure the case. Also, with a computer search (old TRS 80) I produced an example containing a rectangle of area $3\frac{1}{3}$.
These are some of the questions that come to mind:
- can the upper limit of 4 (or 3.975?) be improved?
- can the lower limit of $3\frac{1}{3}$ be improved?
- any proof/conjecture about the optimal limit?
- do the results extend to maps $\mathbb{R}^2\rightarrow\mathbb{R}$, provided they are "nice" enough?
- are any other generalizations of this problem possible (eg. different tilings of the plane or of other manifolds, or higher dimensions)?
Update 1 (updated 7th March 2010). See answers and comments below for examples achieving ratios as high as 181/48 = 3.708333...3.7708333...!
Update 2. Here is a sketch of the proof that 4 is an upper limit.
A limit of 3.8 is now known (see answers below), but the proof for that needs to be seeded with at least some known limit.
Given a rectangle R of size AxB, with A < B, call it "thin" if $B\geq2A$ or "fat" if $B\leq2A$ (the case B=2A is irrelevant as it is the union of 2 squares).
One can draw the 4 squares on the sides of R, either facing outwards (size of envelope = (2B+A)x(2A+B)), or inwards (some spilling out on the opposite sides, size of envelope = (2B-A)xB) - call these the "big-envelope" and the "small-envelope".
Assume that R has sum 4+$\epsilon$ and that every square has sum between -1 and 1. We have 3 cases, all easy exercises to work out:
(1) for any R, the fat (2A+B)x(2B+A) big-envelope will have sum $\leq-4-3\epsilon$.
(2) for a fat R, a (2A-B)x(2B-A) sub-rectangle of the small-envelope will have sum $\leq-4-3\epsilon$;
(3) for a thin R, a thin (B-2A)x(2B-A) sub-rectangle of the small-envelope, will have sum $\geq4+3\epsilon$;
Applying any of (1)+(2), (2)+(1) or (3)+(3) produces a 3Ax3B rectangle with
sum $\geq4+9\epsilon$. Iterating n times produces a $3^{n}A \times 3^{n}B$ rectangle with sum $4+9^{n}\epsilon$. Such rectangle is made of no more than AxB squares (each of size $3^{n} \times 3^{n}$) and therefore, for large enough n, one of the squares will have sum >1. $\square$
|
|
|
|
14
|
|
edited Mar 7 2010 at 22:36
|
Almost 25 years ago a professor at Indiana U showed me the following problem:
given a map $\mathbb{Z}^2\rightarrow\mathbb{R}$ such that the sum inside every square (parallel to the axes) is $\leq1$ in absolute value, prove that the sum inside every rectangle (parallel to axes) is $\leq4$ in absolute value.
It's fun and not too hard to prove.
I believe that at the time I was able to show that the upper limit can be improved to 3.975 - but that was a lot harder and I can't say now that this is for sure the case. Also, with a computer search (old TRS 80) I produced an example containing a rectangle of area $3\frac{1}{3}$.
These are some of the questions that come to mind:
- can the upper limit of 4 (or 3.975?) be improved?
- can the lower limit of $3\frac{1}{3}$ be improved?
- any proof/conjecture about the optimal limit?
- do the results extend to maps $\mathbb{R}^2\rightarrow\mathbb{R}$, provided they are "nice" enough?
- are any other generalizations of this problem possible (eg. different tilings of the plane or of other manifolds, or higher dimensions)?
Update 1 (updated)updated 7th March 2010). See answers and comments below for examples achieving ratios as high as 3.75181/48 = 3.708333...!
Update 2. Here is a sketch of the proof that 4 is an upper limit.
A limit of 3.8 is now known (see answers below), but the proof for that needs to be seeded with at least some known limit.
Given a rectangle R of size AxB, with A < B, call it "thin" if $B\geq2A$ or "fat" if $B\leq2A$ (the case B=2A is irrelevant as it is the union of 2 squares).
One can draw the 4 squares on the sides of R, either facing outwards (size of envelope = (2B+A)x(2A+B)), or inwards (some spilling out on the opposite sides, size of envelope = (2B-A)xB) - call these the "big-envelope" and the "small-envelope".
Assume that R has sum 4+$\epsilon$ and that every square has sum between -1 and 1. We have 3 cases, all easy exercises to work out:
(1) for any R, the fat (2A+B)x(2B+A) big-envelope will have sum $\leq-4-3\epsilon$.
(2) for a fat R, a (2A-B)x(2B-A) sub-rectangle of the small-envelope will have sum $\leq-4-3\epsilon$;
(3) for a thin R, a thin (B-2A)x(2B-A) sub-rectangle of the small-envelope, will have sum $\geq4+3\epsilon$;
Applying any of (1)+(2), (2)+(1) or (3)+(3) produces a 3Ax3B rectangle with
sum $\geq4+9\epsilon$. Iterating n times produces a $3^{n}A \times 3^{n}B$ rectangle with sum $4+9^{n}\epsilon$. Such rectangle is made of no more than AxB squares (each of size $3^{n} \times 3^{n}$) and therefore, for large enough n, one of the squares will have sum >1. $\square$
|
|
|
|
13
|
|
edited Mar 4 2010 at 11:25
|
Almost 25 years ago a professor at Indiana U showed me the following problem:
given a map $\mathbb{Z}^2\rightarrow\mathbb{R}$ such that the sum inside every square (parallel to the axes) is $\leq1$ in absolute value, prove that the sum inside every rectangle (parallel to axes) is $\leq4$ in absolute value.
It's fun and not too hard to prove.
I believe that at the time I was able to show that the upper limit can be improved to 3.975 - but that was a lot harder and I can't say now that this is for sure the case. Also, with a computer search (old TRS 80) I produced an example containing a rectangle of area $3\frac{1}{3}$.
These are some of the questions that come to mind:
- can the upper limit of 4 (or 3.975?) be improved?
- can the lower limit of $3\frac{1}{3}$ be improved?
- any proof/conjecture about the optimal limit?
- do the results extend to maps $\mathbb{R}^2\rightarrow\mathbb{R}$, provided they are "nice" enough?
- are any other generalizations of this problem possible (eg. different tilings of the plane or of other manifolds, or higher dimensions)?
Update 1 (updated). See answers and comments below for examples achieving ratios as high as 56/15 = 3.73333...3.75!
Update 2. Here is a sketch of the proof that 4 is an upper limit.
A limit of 3.8 is now known (see answers below), but the proof for that needs to be seeded with at least some known limit.
Given a rectangle R of size AxB, with A < B, call it "thin" if $B\geq2A$ or "fat" if $B\leq2A$ (the case B=2A is irrelevant as it is the union of 2 squares).
One can draw the 4 squares on the sides of R, either facing outwards (size of envelope = (2B+A)x(2A+B)), or inwards (some spilling out on the opposite sides, size of envelope = (2B-A)xB) - call these the "big-envelope" and the "small-envelope".
Assume that R has sum 4+$\epsilon$ and that every square has sum between -1 and 1. We have 3 cases, all easy exercises to work out:
(1) for any R, the fat (2A+B)x(2B+A) big-envelope will have sum $\leq-4-3\epsilon$.
(2) for a fat R, a (2A-B)x(2B-A) sub-rectangle of the small-envelope will have sum $\leq-4-3\epsilon$;
(3) for a thin R, a thin (B-2A)x(2B-A) sub-rectangle of the small-envelope, will have sum $\geq4+3\epsilon$;
Applying any of (1)+(2), (2)+(1) or (3)+(3) produces a 3Ax3B rectangle with
sum $\geq4+9\epsilon$. Iterating n times produces a $3^{n}A \times 3^{n}B$ rectangle with sum $4+9^{n}\epsilon$. Such rectangle is made of no more than AxB squares (each of size $3^{n} \times 3^{n}$) and therefore, for large enough n, one of the squares will have sum >1. $\square$
|
|
|
|
12
|
|
edited Mar 2 2010 at 20:53
|
Almost 25 years ago a professor at Indiana U showed me the following problem:
given a map $\mathbb{Z}^2\rightarrow\mathbb{R}$ such that the sum inside every square (parallel to the axes) is $\leq1$ in absolute value, prove that the sum inside every rectangle (parallel to axes) is $\leq4$ in absolute value.
It's fun and not too hard to prove.
I believe that at the time I was able to show that the upper limit can be improved to 3.975 - but that was a lot harder and I can't say now that this is for sure the case. Also, with a computer search (old TRS 80) I produced an example containing a rectangle of area $3\frac{1}{3}$.
These are some of the questions that come to mind:
- can the upper limit of 4 (or 3.975?) be improved?
- can the lower limit of $3\frac{1}{3}$ be improved?
- any proof/conjecture about the optimal limit?
- do the results extend to maps $\mathbb{R}^2\rightarrow\mathbb{R}$, provided they are "nice" enough?
- are any other generalizations of this problem possible (eg. different tilings of the plane or of other manifolds, or higher dimensions)?
Update 1 . See answers and comments below for examples achieving ratios as high as 85/23 56/15 = 3.695652...3.73333...!
Update 2. Here is a sketch of the proof that 4 is an upper limit.
A limit of 3.8 is now known (see answers below), but the proof for that needs to be seeded with at least some known limit.
Given a rectangle R of size AxB, with A < B, call it "thin" if $B\geq2A$ or "fat" if $B\leq2A$ (the case B=2A is irrelevant as it is the union of 2 squares).
One can draw the 4 squares on the sides of R, either facing outwards (size of envelope = (2B+A)x(2A+B)), or inwards (some spilling out on the opposite sides, size of envelope = (2B-A)xB) - call these the "big-envelope" and the "small-envelope".
Assume that R has sum 4+$\epsilon$ and that every square has sum between -1 and 1. We have 3 cases, all easy exercises to work out:
(1) for any R, the fat (2A+B)x(2B+A) big-envelope will have sum $\leq-4-3\epsilon$.
(2) for a fat R, a (2A-B)x(2B-A) sub-rectangle of the small-envelope will have sum $\leq-4-3\epsilon$;
(3) for a thin R, a thin (B-2A)x(2B-A) sub-rectangle of the small-envelope, will have sum $\geq4+3\epsilon$;
Applying any of (1)+(2), (2)+(1) or (3)+(3) produces a 3Ax3B rectangle with
sum $\geq4+9\epsilon$. Iterating n times produces a $3^{n}A \times 3^{n}B$ rectangle with sum $4+9^{n}\epsilon$. Such rectangle is made of no more than AxB squares (each of size $3^{n} \times 3^{n}$) and therefore, for large enough n, one of the squares will have sum >1. $\square$
|
|
|
|
11
|
|
edited Mar 2 2010 at 7:20
|
Almost 25 years ago a professor at Indiana U showed me the following problem:
given a map $\mathbb{Z}^2\rightarrow\mathbb{R}$ such that the sum inside every square (parallel to the axes) is $\leq1$ in absolute value, prove that the sum inside every rectangle (parallel to axes) is $\leq4$ in absolute value.
It's fun and not too hard to prove.
I believe that at the time I was able to show that the upper limit can be improved to 3.975 - but that was a lot harder and I can't say now that this is for sure the case. Also, with a computer search (old TRS 80) I produced an example containing a rectangle of area $3\frac{1}{3}$.
These are some of the questions that come to mind:
- can the upper limit of 4 (or 3.975?) be improved?
- can the lower limit of $3\frac{1}{3}$ be improved?
- any proof/conjecture about the optimal limit?
- do the results extend to maps $\mathbb{R}^2\rightarrow\mathbb{R}$, provided they are "nice" enough?
- are any other generalizations of this problem possible (eg. different tilings of the plane or of other manifolds, or higher dimensions)?
Update 1 . See answers and comments below for examples achieving ratios as high as 85/23 .= 3.695652...!
Update 2. Here is a sketch of the proof that 4 is an upper limit.
A limit of 3.8 is now known (see answers below), but the proof for that needs to be seeded with at least some known limit.
Given a rectangle R of size AxB, with A < B, call it "thin" if $B\geq2A$ or "fat" if $B\leq2A$ (the case B=2A is irrelevant as it is the union of 2 squares).
One can draw the 4 squares on the sides of R, either facing outwards (size of envelope = (2B+A)x(2A+B)), or inwards (some spilling out on the opposite sides, size of envelope = (2B-A)xB) - call these the "big-envelope" and the "small-envelope".
Assume that R has sum 4+$\epsilon$ and that every square has sum between -1 and 1. We have 3 cases, all easy exercises to work out:
(1) for any R, the fat (2A+B)x(2B+A) big-envelope will have sum $\leq-4-3\epsilon$.
(2) for a fat R, a (2A-B)x(2B-A) sub-rectangle of the small-envelope will have sum $\leq-4-3\epsilon$;
(3) for a thin R, a thin (B-2A)x(2B-A) sub-rectangle of the small-envelope, will have sum $\geq4+3\epsilon$;
Applying any of (1)+(2), (2)+(1) or (3)+(3) produces a 3Ax3B rectangle with
sum $\geq4+9\epsilon$. Iterating n times produces a $3^{n}A \times 3^{n}B$ rectangle with sum $4+9^{n}\epsilon$. Such rectangle is made of no more than AxB squares (each of size $3^{n} \times 3^{n}$) and therefore, for large enough n, one of the squares will have sum >1. $\square$
|
|
|
|
10
|
|
edited Mar 2 2010 at 7:13
|
I believe that at the time I was able to show that the upper limit can be improved to 3.975 - but that was a lot harder and I can't say now that this is for sure the case. Also, with a computer search (old TRS 80) I produced an example containing a rectangle of area $ 3\frac{1}{3}$ (see updates below).3\frac{1}{3}$. Update 1 . This is a neat example realizing a 10/3 ratio between maximum rectangle sum See answers and maximum square sum (extend the map to all of $\mathbb{Z}^2$ with 0's).I would have posted earlier, but it took me a while to work this out againcomments below for examples achieving ratios as high as 85/23. $${\begin{array}{rrrrrrrr} -4 & 4 & -1 & 0 & 0 & -1 & 4 & -4 \\ 2 & -6 & 6 & -2 & -2 & 6 & -6 & 2 \\ 2 & 1 & -4 & 3 & 3 & -4 & 1 & 2 \\ -2 & 0 & -1 & 0 & 0 & -1 & 0 & -2 \\ 2 & 3 & -3 & -2 & -2 & -3 & 3 & 2 \\ -2 & -6 & \pmb{6} & \pmb{4} & \pmb{4} & \pmb{6} & -6 & -2 \\ 2 & 3 & -3 & -2 & -2 & -3 & 3 & 2 \\ -2 & 0 & -1 & 0 & 0 & -1 & 0 & -2 \\ 2 & 1 & -4 & 3 & 3 & -4 & 1 & 2 \\ 2 & -6 & 6 & -2 & -2 & 6 & -6 & 2 \\ -4 & 4 & -1 & 0 & 0 & -1 & 4 & -4 \end{array}}$$ Update 2. Here is a sketch of the proof that 4 is an upper limit.A limit of 3.8 is now known (see answers below), but the proof for that needs to be seeded with at least some known limit. sum $\geq4+9\epsilon$. Iterating n times produces a $3^{n}A \times 3^{n}B$ rectangle with sum $ 4+3^{n}\epsilon$. 4+9^{n}\epsilon$. Such rectangle is made of no more than AxB squares (each of size $3^{n} \times 3^{n}$) and therefore, for large enough n, one of the squares will have sum >1. $\square$ Improving the limit further will involve more complicated figures than the big/small-envelopes and more case distinctions than just thin/fat, which gets very messy and makes me wonder if there mustn't be some deeper real analysis result at work instead.
|
|
|
|
9
|
|
edited Feb 5 2010 at 11:59
|
I believe that at the time I was able to show that the upper limit can be improved to 3.975 - but that was a lot harder and I can't say now that this is for sure the case. Also, with a computer search (old TRS 80) I produced an example containing a rectangle of area $3\frac{1}{3}$ ( of this I'm sure)see updates below). can the lower limit of $3\frac{1}{3}$ be improved?(See example below.) Update 1 . This is a neat example realizing a 10/3 ratio between maximum rectangle sum and maximum square sum (extend the table map to all of $\mathbb{Z}^2$ with 0's).I would have posted much earlier, but this is how long it took me a while to work it this out again:. ${\begin{array}{rrrrrrrr} ${\begin{array}{rrrrrrrr} -4 & 4 & -1 & 0 & 0 & -1 & 4 & -4 \\ 2 & -6 & 6 & -2 & -2 & 6 & -6 & 2 \\ 2 & 1 & -4 & 3 & 3 & -4 & 1 & 2 \\ -2 & 0 & -1 & 0 & 0 & -1 & 0 & -2 \\ 2 & 3 & -3 & -2 & -2 & -3 & 3 & 2 \\ -2 & -6 & \pmb{6} & \pmb{4} & \pmb{4} & \pmb{6} & -6 & -2 \\ 2 & 3 & -3 & -2 & -2 & -3 & 3 & 2 \\ -2 & 0 & -1 & 0 & 0 & -1 & 0 & -2 \\ 2 & 1 & -4 & 3 & 3 & -4 & 1 & 2 \\ 2 & -6 & 6 & -2 & -2 & 6 & -6 & 2 \\ -4 & 4 & -1 & 0 & 0 & -1 & 4 & -4 \end{array}}$end{array}}$$ Update 2. Here is a sketch of the proof that 4 is an upper limit. Given a rectangle R of size AxB, with A < B, call it "thin" if $B\geq2A$ or "fat" if $B\leq2A$ (the case B=2A is irrelevant as it is the union of 2 squares).One can draw the 4 squares on the sides of R, either facing outwards (size of envelope = (2B+A)x(2A+B)), or inwards (some spilling out on the opposite sides, size of envelope = (2B-A)xB) - call these the "big-envelope" and the "small-envelope". Assume that R has sum 4+$\epsilon$ and that every square has sum between -1 and 1. We have 3 cases, all easy exercises to work out: (1) for any R, the fat (2A+B)x(2B+A) big-envelope will have sum $\leq-4-3\epsilon$. (2) for a fat R, a (2A-B)x(2B-A) sub-rectangle of the small-envelope will have sum $\leq-4-3\epsilon$; (3) for a thin R, a thin (B-2A)x(2B-A) sub-rectangle of the small-envelope, will have sum $\geq4+3\epsilon$; Applying any of (1)+(2), (2)+(1) or (3)+(3) produces a 3Ax3B rectangle withsum $\geq4+9\epsilon$. Iterating n times produces a $3^{n}A \times 3^{n}B$ rectangle with sum $4+3^{n}\epsilon$. Such rectangle is made of no more than AxB squares (each of size $3^{n} \times 3^{n}$) and therefore, for large enough n, one of the squares will have sum >1. $\square$ Improving the limit further will involve more complicated figures than the big/small-envelopes and more case distinctions than just thin/fat, which gets very messy and makes me wonder if there mustn't be some deeper real analysis result at work instead.
|
|
|
|
8
|
|
edited Feb 4 2010 at 11:17
|
Almost 25 years ago a professor at Indiana U showed me the following problem:
given a map $\mathbb{Z}^2\rightarrow\mathbb{R}$ such that the sum inside every square (parallel to the axes) is $\leq1$ in absolute value, prove that the sum inside every rectangle (parallel to axes) is $\leq4$ in absolute value.
It's fun and not too hard to prove.
I believe that at the time I was able to show that the upper limit can be improved to 3.975 - but that was a lot harder and I can't say now that this is for sure the case. Also, with a computer search (old TRS 80) I produced an example containing a rectangle of area $3\frac{1}{3}$ (of this I'm sure).
These are some of the questions that come to mind:
- can the upper limit of 4 (or 3.975?) be improved?
- can the lower limit of $3\frac{1}{3}$ be improved? (See example below.)
- any proof/conjecture about the optimal limit?
- do the results extend to maps $\mathbb{R}^2\rightarrow\mathbb{R}$, provided they are "nice" enough?
- are any other generalizations of this problem possible (eg. different tilings of the plane or of other manifolds, or higher dimensions)?
Update . This is a neat example realizing a 10/3 ratio between maximum rectangle sum and maximum square sum (extend the table to all of $\mathbb{Z}^2$ with 0's).
I would have posted much earlier, but this is how long it took me to work it out again:
${\begin{array}{rrrrrrrr} -4 & 4 & -1 & 0 & 0 & -1 & 4 & -4 \\ 2 & -6 & 6 & -2 & -2 & 6 & -6 & 2 \\ 2 & 1 & -4 & 3 & 3 & -4 & 1 & 2 \\ -2 & 0 & -1 & 0 & 0 & -1 & 0 & -2 \\ 2 & 3 & -3 & -2 & -2 & -3 & 3 & 2 \\ -2 & -6 & 6 \pmb{6} & 4 \pmb{4} & 4 \pmb{4} & 6 \pmb{6} & -6 & -2 \\ 2 & 3 & -3 & -2 & -2 & -3 & 3 & 2 \\ -2 & 0 & -1 & 0 & 0 & -1 & 0 & -2 \\ 2 & 1 & -4 & 3 & 3 & -4 & 1 & 2 \\ 2 & -6 & 6 & -2 & -2 & 6 & -6 & 2 \\ -4 & 4 & -1 & 0 & 0 & -1 & 4 & -4 \end{array}}$
|
|
|
|
7
|
|
edited Feb 4 2010 at 10:58
|
can the lower limit of $3\frac{1}{3}$ be improved? (See example below.) Update . This is a neat example realizing a 10/3 ratio between maximum rectangle sum and maximum square sum (extend the table to all of $\mathbb{Z}^2$ with 0's).I would have posted much earlier, but this is how long it took me to work it out again: ${\begin{array}{rrrrrrrr} -4 & 4 & -1 & 0 & 0 & -1 & 4 & -4 \\ 2 & -6 & 6 & -2 & -2 & 6 & -6 & 2 \\ 2 & 1 & -4 & 3 & 3 & -4 & 1 & 2 \\ -2 & 0 & -1 & 0 & 0 & -1 & 0 & -2 \\ 2 & 3 & -3 & -2 & -2 & -3 & 3 & 2 \\ -2 & -6 & 6 & 4 & 4 & 6 & -6 & -2 \\ 2 & 3 & -3 & -2 & -2 & -3 & 3 & 2 \\ -2 & 0 & -1 & 0 & 0 & -1 & 0 & -2 \\ 2 & 1 & -4 & 3 & 3 & -4 & 1 & 2 \\ 2 & -6 & 6 & -2 & -2 & 6 & -6 & 2 \\ -4 & 4 & -1 & 0 & 0 & -1 & 4 & -4 \end{array}}$
|
|
|
|
6
|
|
edited Feb 3 2010 at 15:03
|
|
|
|
|
|
5
|
|
edited Feb 3 2010 at 11:10
|
|
|
|
|
|
4
|
|
edited Feb 2 2010 at 13:37
|
Almost 25 years ago a professor at Indiana U showed me the following problem:
given a map $\mathbb{Z}^2\rightarrow\mathbb{R}$ such that the sum inside every square (parallel to the axes) is <=1 $\leq1$ in absolute value, prove that the sum inside every rectangle (parallel to axes) is $\leq4$ in absolute value.
It's fun and not too hard to prove.
I believe that at the time I was able to show that the upper limit can be improved to 3.975 - but that was a lot harder and I can't say now that this is for sure the case. Also, with a computer search (old TRS 80) I produced an example containing a rectangle of area $3\frac{1}{3}$ (of this I'm sure).
These are some of the questions that come to mind:
- can the upper limit of 4 (or 3.975?) be improved?
- can the lower limit of $3\frac{1}{3}$ be improved?
- any proof/conjecture about the optimal limit?
- do the results extend to maps $\mathbb{R}^2\rightarrow\mathbb{R}$, provided they are "nice" enough?
- are any other generalizations of this problem possible (eg. different tilings of the plane or of other manifolds, or higher dimensions)?
|
|
|
|
3
|
|
edited Feb 2 2010 at 12:55
|
Almost 25 years ago a professor at Indiana U showed me the following problem:
given a map $\mathbb{Z}^2\rightarrow\mathbb{R}$ such that the sum inside every square (parallel to the axes) is <=1 in absolute value, prove that the sum inside every rectangle (parallel to axes) is $\leq4$ in absolute value.
It's fun and not too hard prove.
I believe that at the time I was able to show that the upper limit can be improved to 3.975 - but that was a lot harder and I can't say now that this is for sure the case. Also, with a computer search (old TRS 80) I produced an example containing a rectangle of area $3\frac{1}{3}$ (of this I'm sure).
These are some of the questions that come to mind:
- can the upper limit of 4 (or 3.975?) be improved?
- can the lower limit of $3\frac{1}{3}$ be improved?
- any proof/conjecture about the optimal limit?
- do the results extend to maps $\mathbb{R}^2\rightarrow\mathbb{R}$, provided the map is they are "nice" enough?
- are any other generalizations of this problem possible (eg. different tilings of the plane or of other manifolds, or higher dimensions)?
|
|
|
|
2
|
|
edited Feb 2 2010 at 12:31
|
Almost 25 years ago a professor at Indiana U showed me the following problem:
given a map $\mathbb{Z}^2\rightarrow\mathbb{R}$ such that the sum over inside every square (parallel to the axes) is <=1 in absolute value, prove that the sum over inside every rectangle (parallel to axes) is $\leq4$ in absolute value.
It's fun and not too hard prove.
I believe that at the time I was able to show that the upper limit can be improved to 3.975 - but that was a lot harder and I can't say now that this is for sure the case. Also, with a computer search (old TRS 80) I produced an example containing a rectangle of area $3\frac{1}{3}$ (of this I'm sure).
These are some of the questions that come to mind:
- can the upper limit of 4 (or 3.975?) be improved?
- can the lower limit of $3\frac{1}{3}$ be improved?
- any proof/conjecture about the optimal limit?
- do the results extend maps $\mathbb{R}^2\rightarrow\mathbb{R}$, provided the map is "nice" enough?
- are any other generalizations of this problem possible (eg. different tilings of the plane or of other manifolds, or higher dimensions)?
|
|
|
|
1
|
|
asked Feb 2 2010 at 12:14
|
1 rectangle <= 4 squares
Almost 25 years ago a professor at Indiana U showed me the following problem:
given a map $\mathbb{Z}^2\rightarrow\mathbb{R}$ such that the sum over every square is <=1 in absolute value, prove that the sum over every rectangle is $\leq4$ in absolute value.
It's fun and not too hard prove.
I believe that at the time I was able to show that the upper limit can be improved to 3.975 - but that was a lot harder and I can't say now that this is for sure the case. Also, with a computer search (old TRS 80) I produced an example containing a rectangle of area $3\frac{1}{3}$ (of this I'm sure).
These are some of the questions that come to mind:
- can the upper limit of 4 (or 3.975?) be improved?
- can the lower limit of $3\frac{1}{3}$ be improved?
- any proof/conjecture about the optimal limit?
- do the results extend maps $\mathbb{R}^2\rightarrow\mathbb{R}$, provided the map is "nice" enough?
- are any other generalizations of this problem possible (eg. different tilings of the plane or of other manifolds, or higher dimensions)?
|
|
|