Block-stacking problem

Last updated
The first nine blocks in the solution to the single-wide block-stacking problem with the overhangs indicated Block stacking problem.svg
The first nine blocks in the solution to the single-wide block-stacking problem with the overhangs indicated

In statics, the block-stacking problem (sometimes known as The Leaning Tower of Lire( Johnson 1955 ), also the book-stacking problem, or a number of other similar terms) is a puzzle concerning the stacking of blocks at the edge of a table.

Contents

Statement

The block-stacking problem is the following puzzle:

Place identical rigid rectangular blocks in a stable stack on a table edge in such a way as to maximize the overhang.

Paterson et al. (2007) provide a long list of references on this problem going back to mechanics texts from the middle of the 19th century.

Variants

Single-wide

The single-wide problem involves having only one block at any given level. In the ideal case of perfectly rectangular blocks, the solution to the single-wide problem is that the maximum overhang is given by times the width of a block. This sum is one half of the corresponding partial sum of the harmonic series. Because the harmonic series diverges, the maximal overhang tends to infinity as increases, meaning that it is possible to achieve any arbitrarily large overhang, with sufficient blocks.

NMaximum overhang
expressed as a fractiondecimalrelative size
11/20.50.5
 
23/40.750.75
 
311/12~0.916670.91667
 
425/24~1.041671.04167
 
5137/120~1.141671.14167
 
649/401.2251.225
 
7363/280~1.296431.29643
 
8761/560~1.358931.35893
 
97129/5040~1.414481.41448
 
107381/5040~1.464481.46448
 
NMaximum overhang
expressed as a fractiondecimalrelative size
1183711/55440~1.509941.50994
 
1286021/55440~1.551611.55161
 
131145993/720720~1.590071.59007
 
141171733/720720~1.625781.62578
 
151195757/720720~1.659111.65911
 
162436559/1441440~1.690361.69036
 
1742142223/24504480~1.719781.71978
 
1814274301/8168160~1.747551.74755
 
19275295799/155195040~1.773871.77387
 
2055835135/31039008~1.798871.79887
 
NMaximum overhang
expressed as a fractiondecimalrelative size
2118858053/10346336~1.822681.82268
 
2219093197/10346336~1.845411.84541
 
23444316699/237965728~1.867151.86715
 
241347822955/713897184~1.887981.88798
 
2534052522467/17847429600~1.907981.90798
 
2634395742267/17847429600~1.927211.92721
 
27312536252003/160626866400~1.945731.94573
 
28315404588903/160626866400~1.963591.96359
 
299227046511387/4658179125600~1.980831.98083
 
309304682830147/4658179125600~1.997491.99749
 

The number of blocks required to reach at least block-lengths past the edge of the table is 4, 31, 227, 1674, 12367, 91380, ... (sequence A014537 in the OEIS ). [1]

Multi-wide

Comparison of the solutions to the single-wide (top) and multi-wide (bottom) block-stacking problem with three blocks Block stacking problem compare 3.svg
Comparison of the solutions to the single-wide (top) and multi-wide (bottom) block-stacking problem with three blocks

Multi-wide stacks using counterbalancing can give larger overhangs than a single width stack. Even for three blocks, stacking two counterbalanced blocks on top of another block can give an overhang of 1, while the overhang in the simple ideal case is at most 11/12. As Paterson et al. (2007) showed, asymptotically, the maximum overhang that can be achieved by multi-wide stacks is proportional to the cube root of the number of blocks, in contrast to the single-wide case in which the overhang is proportional to the logarithm of the number of blocks. However, it has been shown that in reality this is impossible and the number of blocks that we can move to the right, due to block stress, is not more than a specified number. For example, for a special brick with h = 0.20 m, Young's modulus E = 3000 MPa and density ρ = 1.8×103 kg/m3 and limiting compressive stress 3 MPa, the approximate value of N will be 853 and the maximum tower height becomes 170 m. [2]

Proof of solution of single-wide variant

The above formula for the maximum overhang of blocks, each with length and mass , stacked one at a level, can be proven by induction by considering the torques on the blocks about the edge of the table they overhang. The blocks can be modelled as point-masses located at the center of each of each block, assuming uniform mass-density. In the base case (), the center of mass of the block lies above the table's edge, meaning an overhang of . For blocks, the center of mass of the -block system must lie above the table's edge, and the center of mass of the top blocks must lie above the edge of the first for static equilibrium. [3] If the th block overhangs the th by and the overhang of the first is , [4]

where denotes the gravitational field. If the top blocks overhang their center of mass by , then, by assuming the inductive hypothesis, the maximum overhang off the table is

For blocks, denotes how much the top blocks overhang their center of mass , and . Then, the maximum overhang would be:

Mike Paterson's method to increase the overhang of 16 blocks of unit width and breadth b to 2[?]1 + b 2 by offsetting the blocks perpendicular to their lengths in a diamond formation Block stacking problem skintled 4 diamond.svg
Mike Paterson's method to increase the overhang of 16 blocks of unit width and breadth b to 21 + b² by offsetting the blocks perpendicular to their lengths in a diamond formation

Robustness

Hall (2005) discusses this problem, shows that it is robust to nonidealizations such as rounded block corners and finite precision of block placing, and introduces several variants including nonzero friction forces between adjacent blocks.

Related Research Articles

<span class="mw-page-title-main">Discrete Fourier transform</span> Type of Fourier transform in discrete mathematics

In mathematics, the discrete Fourier transform (DFT) converts a finite sequence of equally-spaced samples of a function into a same-length sequence of equally-spaced samples of the discrete-time Fourier transform (DTFT), which is a complex-valued function of frequency. The interval at which the DTFT is sampled is the reciprocal of the duration of the input sequence. An inverse DFT (IDFT) is a Fourier series, using the DTFT samples as coefficients of complex sinusoids at the corresponding DTFT frequencies. It has the same sample-values as the original input sequence. The DFT is therefore said to be a frequency domain representation of the original input sequence. If the original sequence spans all the non-zero values of a function, its DTFT is continuous, and the DFT provides discrete samples of one cycle. If the original sequence is one cycle of a periodic function, the DFT provides all the non-zero values of one DTFT cycle.

In mathematics, the Euler–Maclaurin formula is a formula for the difference between an integral and a closely related sum. It can be used to approximate integrals by finite sums, or conversely to evaluate finite sums and infinite series using integrals and the machinery of calculus. For example, many asymptotic expansions are derived from the formula, and Faulhaber's formula for the sum of powers is an immediate consequence.

In mathematics, the harmonic mean is one of several kinds of average, and in particular, one of the Pythagorean means. It is sometimes appropriate for situations when the average rate is desired.

<span class="mw-page-title-main">Simple harmonic motion</span> To-and-fro periodic motion in science and engineering

In mechanics and physics, simple harmonic motion is a special type of periodic motion an object experiences due to a restoring force whose magnitude is directly proportional to the distance of the object from an equilibrium position and acts towards the equilibrium position. It results in an oscillation that is described by a sinusoid which continues indefinitely.

<span class="mw-page-title-main">Laplace's equation</span> Second-order partial differential equation

In mathematics and physics, Laplace's equation is a second-order partial differential equation named after Pierre-Simon Laplace, who first studied its properties. This is often written as

<span class="mw-page-title-main">Quantum harmonic oscillator</span> Important, well-understood quantum mechanical model

The quantum harmonic oscillator is the quantum-mechanical analog of the classical harmonic oscillator. Because an arbitrary smooth potential can usually be approximated as a harmonic potential at the vicinity of a stable equilibrium point, it is one of the most important model systems in quantum mechanics. Furthermore, it is one of the few quantum-mechanical systems for which an exact, analytical solution is known.

<span class="mw-page-title-main">Fourier series</span> Decomposition of periodic functions into sums of simpler sinusoidal forms

A Fourier series is an expansion of a periodic function into a sum of trigonometric functions. The Fourier series is an example of a trigonometric series, but not all trigonometric series are Fourier series. By expressing a function as a sum of sines and cosines, many problems involving the function become easier to analyze because trigonometric functions are well understood. For example, Fourier series were first used by Joseph Fourier to find solutions to the heat equation. This application is possible because the derivatives of trigonometric functions fall into simple patterns. Fourier series cannot be used to approximate arbitrary functions, because most functions have infinitely many terms in their Fourier series, and the series do not always converge. Well-behaved functions, for example smooth functions, have Fourier series that converge to the original function. The coefficients of the Fourier series are determined by integrals of the function multiplied by trigonometric functions, described in Common forms of the Fourier series below.

In statistics, maximum likelihood estimation (MLE) is a method of estimating the parameters of an assumed probability distribution, given some observed data. This is achieved by maximizing a likelihood function so that, under the assumed statistical model, the observed data is most probable. The point in the parameter space that maximizes the likelihood function is called the maximum likelihood estimate. The logic of maximum likelihood is both intuitive and flexible, and as such the method has become a dominant means of statistical inference.

In mathematics, the harmonic series is the infinite series formed by summing all positive unit fractions:

In mathematics, the Hermite polynomials are a classical orthogonal polynomial sequence.

<span class="mw-page-title-main">Spherical harmonics</span> Special mathematical functions defined on the surface of a sphere

In mathematics and physical science, spherical harmonics are special functions defined on the surface of a sphere. They are often employed in solving partial differential equations in many scientific fields. A list of the spherical harmonics is available in Table of spherical harmonics.

<span class="mw-page-title-main">Harmonic number</span> Sum of the first n whole number reciprocals; 1/1 + 1/2 + 1/3 + ... + 1/n

In mathematics, the n-th harmonic number is the sum of the reciprocals of the first n natural numbers:

<span class="mw-page-title-main">Catalan number</span> Recursive integer sequence

In combinatorial mathematics, the Catalan numbers are a sequence of natural numbers that occur in various counting problems, often involving recursively defined objects. They are named after the French-Belgian mathematician Eugène Charles Catalan.

<span class="mw-page-title-main">Normal mode</span> Pattern of oscillating motion in a system

A normal mode of a dynamical system is a pattern of motion in which all parts of the system move sinusoidally with the same frequency and with a fixed phase relation. The free motion described by the normal modes takes place at fixed frequencies. These fixed frequencies of the normal modes of a system are known as its natural frequencies or resonant frequencies. A physical object, such as a building, bridge, or molecule, has a set of normal modes and their natural frequencies that depend on its structure, materials and boundary conditions.

<span class="mw-page-title-main">Unit fraction</span> One over a whole number

A unit fraction is a positive fraction with one as its numerator, 1/n. It is the multiplicative inverse (reciprocal) of the denominator of the fraction, which must be a positive natural number. Examples are 1/1, 1/2, 1/3, 1/4, 1/5, etc. When an object is divided into equal parts, each part is a unit fraction of the whole.

In mathematics, and specifically in potential theory, the Poisson kernel is an integral kernel, used for solving the two-dimensional Laplace equation, given Dirichlet boundary conditions on the unit disk. The kernel can be understood as the derivative of the Green's function for the Laplace equation. It is named for Siméon Poisson.

In physics and mathematics, the solid harmonics are solutions of the Laplace equation in spherical polar coordinates, assumed to be (smooth) functions . There are two kinds: the regular solid harmonics, which are well-defined at the origin and the irregular solid harmonics, which are singular at the origin. Both sets of functions play an important role in potential theory, and are obtained by rescaling spherical harmonics appropriately:

In mathematics, vector spherical harmonics (VSH) are an extension of the scalar spherical harmonics for use with vector fields. The components of the VSH are complex-valued functions expressed in the spherical coordinate basis vectors.

In mathematics, the binomial differential equation is an ordinary differential equation containing one or more functions of one independent variable and the derivatives of those functions.

<span class="mw-page-title-main">Harmonic progression (mathematics)</span> Progression formed by taking the reciprocals of an arithmetic progression

In mathematics, a harmonic progression is a progression formed by taking the reciprocals of an arithmetic progression.

References

  1. Sloane, N. J. A. (ed.). "SequenceA014537(Number of books required for n book-lengths of overhang in the harmonic book stacking problem.)". The On-Line Encyclopedia of Integer Sequences . OEIS Foundation.
  2. Khoshbin-e-Khoshnazar, M. R. (2007). "Simplifying modelling can mislead students". Physics Education. 42: 14–15. doi:10.1088/0031-9120/42/1/F05. S2CID   250745206.
  3. Cazelais, Gilles. "Block stacking problem" (PDF). Archived from the original (PDF) on December 4, 2023.
  4. Joanna (2022-04-14). "The Infinite Block Stacking Problem or the Leaning Tower of Lire". Maths Careers. Retrieved 2023-12-04.
  5. M Paterson et al, Maximum Overhang, The Mathematical Association of America, November 2009