Same Diagonal Dissection

Question

Divide a rectangle into smaller rectangles with two criteria:

1. All sub-rectangles must have different sizes.
2. All sub-rectangles must have diagonals with length 1.

What is the smallest possible number of rectangles in a solution?

Here is a solution where a square is divided into 12 rectangles with unit diagonals. The $x$ values are 0., 0.126115, 0.45009, 0.767632, 1.12506, 1.43832, 1.74608, 1.885, and the $y$ values are 0., 0.04595, 0.783796, 0.992016, 0.990303, 1.73204, 1.885.

Code for 100 digits of accuracy:

NMinimize[{(-1+(x1-x4)^2+y1^2)^2+(-1+(x2-x4)^2+(y1-y2)^2)^2+(-1+(x4-x6)^2+y2^2)^2+(-1+(x1-x2)^2+(y1-y3)^2)^2+(-1+x1^2+y3^2)^2+(-1+(x3-x6)^2+(y2-y4)^2)^2+(-1+(x6-x7)^2+y4^2)^2+(-1+(x2-x3)^2+(y2-y5)^2)^2+(-1+(x3-x5)^2+(y4-y5)^2)^2+(-1+x2^2+(y3-y6)^2)^2+(-1+(x5-x7)^2+(y4-y6)^2)^2+(-1+(x2-x5)^2+(y5-y6)^2)^2, 1/9<x1<x2<x3<x4<x5<x6<x7,0<y1<y2<y3<y5<y6, y2<y4<y5, y6==x7},{x1,x2,x3,x4,x5,x6,x7,y1,y2,y3,y4,y5,y6}, PrecisionGoal->100, AccuracyGoal->100, MaxIterations->100, WorkingPrecision->100]

The below is a earlier, slightly flawed version of the same dissection that was found by hand. The diagonals form two connected sets, colored red and green here.

Is there a solution with a fewer number of rectangles? Can a rectangle be divided into 11 or fewer different unit-diagonal rectangles?

Answer 1

First, I'll show example of such $9$-tiling with more comfortable side lengths:

Tiling:

its pattern:

its sub-rectangles sizes:
$x_1 = 0.884, y_1 \approx 0.46748690;$
$x_2 \approx 0.84923220, y_2 \approx 0.52801957;$
$x_3 \approx 0.99816622, y_3 \approx 0.06053267;$
$x_4 \approx 0.11416622, y_4 \approx 0.99346166;$
$x_5 \approx 0.85050017, y_5 \approx 0.52597476;$
$x_6 \approx 0.88273202, y_6 \approx 0.46987676;$
$x_7 \approx 0.06482983, y_7 \approx 0.99789633;$
$x_8 \approx 0.94756185, y_8 \approx 0.31957242;$
$x_9 \approx 0.96466638, y_9 \approx 0.26347442.$
(here $x_1=0.884$ is chosen arbitrarily from the $(0.8686, 0.8946)$ $-$ see below).

And note that there are no "fixed"/unique tiling; they exist as $1$-parametric families of tilings:

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Now wider description:

It seems there exists "regular" (maybe elegant :) algorithm.

Step 1:
let's call $n$-tiling "irreducible" if any removing (of $1$ or more sub-rectangles) makes this tiling non-rectangular (excluding trivial $n-1$ sub-rectangles removing).

For considered $n$ we'll find all possible "irreducible" tiling patterns, which allow construct all sub-rectangles of different sizes:

$n=5$: 1 possible pattern:

$n=6$: there are no "irreducible" tilings:

$n=7$: $2$ possible patterns:

(Let's focus on $7$-tilings.)

Step 2:
Enumerate sub-rectangles such that $1$th and $2$nd sub-rectangles are "free", and all further sub-rectangles depend on these two:

let we have $2$ free parameters: $$ a \in(0,1),\; b\in(0,1); $$

$7$-tiling A:
running forward, we mark such sides as "free", which would give us more comfort calculations:

$ y_1 = a, \; x_1 = \sqrt{1-a^2}; \\ x_2 = b, \; y_2 = \sqrt{1-b^2}; \\ x_3 = x_1-x_2, \; y_3 = \sqrt{1-x_3^2}; \quad (x_3>0); \\ y_4 = y_2-y_3, \; x_4 = \sqrt{1-y_4^2}; \quad (y_4>0); \\ x_5 = x_3-x_4, \; y_5 = \sqrt{1-x_5^2}; \quad (x_5>0); \\ y_6 = y_4-y_5, \; x_6 = \sqrt{1-y_6^2}; \quad (y_6>0); \\ x_7 = x_6-x_5, \; y_7 = \sqrt{1-x_7^2}; \quad (x_7>0); $

and close these dependencies by the equation:

$ y_1+y_3+y_5=y_7. $

Now, we have $16$ variables $a,b,x_1,y_1,\ldots,x_7,y_7$ and $15$ equations. It describes some $2D$-curve: $$ F_1(a,b)=0, \;\mbox{ or } b = f_1(a) \mbox{ in our case }, \; \; a\in (a_1,a_2). $$ for this pattern we'll have $a_1 = 0, a_2 \approx 0.0732518$.

Plot of the curve (Mathematica):

y1 := a;          x1 := Sqrt[1 - a^2];
x2 := b;          y2 := Sqrt[1 - b^2];
x3 := x1 - x2;    y3 := Sqrt[1 - x3^2];
y4 := y2 - y3;    x4 := Sqrt[1 - y4^2];
x5 := x3 - x4;    y5 := Sqrt[1 - x5^2];
y6 := y4 - y5;    x6 := Sqrt[1 - y6^2];
x7 := x6 - x5;    y7 := Sqrt[1 - x7^2];

ContourPlot[y1 + y3 + y5 == y7, {a, 0.000, 0.08}, {b, 0.000, 0.08}, 
   GridLines -> {0.01*Range[0, 10], 0.01*Range[0, 10]}]

A few points of this curve: $ (a,b)\approx (0, 0.004217507); \\ (a,b)\approx (0.01, 0.003927340); \\ (a,b)\approx (0.02, 0.003547516); \\ (a,b)\approx (0.03, 0.003077705); \\ (a,b) \approx (0.0307543, 0.00303861); \mbox{ see Ivan Neretin's answer} \\ (a,b)\approx (0.04, 0.002517544); \\ (a,b)\approx (0.05, 0.001866428); \\ (a,b)\approx (0.06, 0.001124581); \\ (a,b)\approx (0.07, 0.000290911); \\ (a,b)\approx (0.0732518, 0). $

So this kind of tiling must have shortest sub-rectangle side less than $\approx0.004$.

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$7$-tiling B: similar way; but this pattern gives us tiling with pairs of equivalent sub-rectangles.

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$5$-tiling: gives us tiling with pairs of equivalent sub-rectangles.

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$8$-tilings:

there are a few patterns with successful tilings, but all them (which I considered) have too small (for viewing) smallest sidelength.

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$9$-tilings:

The presented above tiling can be described by the system of equations:

$x_1 = a, \; y_1 = \sqrt{1-x_1^2};$
$x_2 = b, \; y_2 = \sqrt{1-x_2^2};$
$y_3 = y_2-y_1, \; x_3 = \sqrt{1-y_3^2}; \quad (y_3>0);$
$x_4 = x_3-x_1, \; y_4 = \sqrt{1-x_4^2}; \quad (x_4>0);$
$y_5 = y_4-y_1, \; x_5 = \sqrt{1-y_5^2}; \quad (y_5>0);$
$x_6 = x_2+x_3-x_4-x_5, \; y_6 = \sqrt{1-x_6^2}; \quad (x_6\in(0,1)\: );$
$y_7 = y_2+y_6, \; x_7 = \sqrt{1-y_7^2}; \quad (y_7<1);$
$x_8 = x_6+x_7, \; y_8 = \sqrt{1-x_8^2}; \quad (x_8<1);$
$y_9 = y_7+y_8-y_2-y_5, \; x_9 = \sqrt{1-y_9^2}; \quad (y_9\in(0,1)\:);$
and
$x_4+x_5=x_9$,
where $a\in(0,1)$, $b\in(0,1)$, and $(a,b)$ are linked therefore by certain dependency $F_2(a,b)=0$, or $b= f_2(a)$ in our case, where $a\in(a_1,a_2)$;

$a_1 \approx 0.868517092, a_2 \approx 0.8946$.

And a few points of the curve: $ (a,b) \approx (0.868517092, 0.868517091); \\ (a,b) \approx (0.870, 0.86678506); \\ (a,b) \approx (0.875, 0.86073752); \\ (a,b) \approx (0.880, 0.85443240); \\ (a,b) \approx (0.885, 0.84791329); \\ (a,b) \approx (0.890, 0.84122558); \\ (a,b) \approx (0.8946, 0.83497558). $

Answer 2

I believe that a rectangle with certain aspect ratio can be done in as few as 7 parts.

Note that the picture is not entirely accurate, otherwise the 7th rectangle would not be seen at all.

The dimensions of the rectangles (short side first) are: $$ \begin{array}{l|l} 1& 0.5959136\times0.8030486\\ 2& 0.0837313\times0.9964883\\ 3& 0.4005748\times0.9162641\\ 4& 0.1132155\times0.9935704\\ 5& 0.3976568\times0.9175342\\ 6& 0.0307543\times0.9995270\\ 7& 0.0030386\times0.9999954 \end{array} $$