Skip to content Skip to navigation

Connexions

You are here: Home » Content » Experiments with the Three-Spectral Inverse Problem for a Beaded String

Navigation

Recently Viewed

This feature requires Javascript to be enabled.

Experiments with the Three-Spectral Inverse Problem for a Beaded String

Module by: Hunter Gilbert. E-mail the author

User rating (How does the rating system work?)
Ratings

Ratings allow you to judge the quality of modules. If other users have ranked the module then its average rating is displayed below. Ratings are calculated on a scale from one star (Poor) to five stars (Excellent).

How to rate a module

Hover over the star that corresponds to the rating you wish to assign. Click on the star to add your rating. Your rating should be based on the quality of the content. You must have an account and be logged in to rate content.

:
(0 ratings)

Summary: This report summarizes work done as part of the Physics of Strings PFUG under Rice University's VIGRE program. VIGRE is a program of Vertically Integrated Grants for Research and Education in the Mathematical Sciences under the direction of the National Science Foundation. A PFUG is a group of Postdocs, Faculty, Undergraduates and Graduate students formed round the study of a common problem. This module describes the three-spectral inverse problem for a beaded string and presents experimental results of its application.

Note: Your browser may not currently support MathML. See our browser support page for additional details. You can always view the correct math in the PDF version.

Introduction

How well can we predict a string's mass distribution by simply listening to its vibration? While considering this question, previous experiments have been limited in the types of strings that could be studied. When only considering two spectra (fixed-fixed and fixed-flat), acquiring the necessary data required us to force the beaded strings to be symmetric about the midpoint. This condition has severely limited the possible experiments. However, recent theoretical developments by Boyko and Pivovarchik [1] have expanded the regime of experimental work with beaded strings. Here we consider three fixed-fixed spectra (whole string, clamped left section, and clamped right section), and show that the information contained in these three spectra may be written as two sets of two spectra problems. Thus, for an arbitrary beaded string, it is possible to measure the frequencies of vibration of three sections of the string. It is then possible to convert these spectra into two separate inverse problems with well known solutions. An algorithm for the recovery of the length and mass information of the string is given by Cox, et. al. [2]. Here is presented the theoretical framework and an experimental setup to predict the masses and lengths of any arbitrary beaded string as long as the string meets our much shorter list of requirements.

The Three-Spectral Forward Problem

We begin by considering a beaded string with at least two beads. The string is artificially separated at an interior point into a left part and a right part, with each part containing at least one mass. The two parts join to form a continuous string. This string vibrates with particular characteristic frequencies depending on the tension in the string, the masses of the beads, and the lengths between them. The forward problem is concerned with finding the spectra given a beaded string's properties.

Figure 1: Depiction of a beaded string with variable names
Figure 1 (nomenclature.png)

The tension is given by σσ. The quantities kk and mkmk represent the lengths between the beads and the masses of the beads for the left part of the string. The quantities k˜k˜ and m˜km˜k represent those respective properties for the right part. There are n1n1 masses on the left and n2n2 masses on the right. These properties describe a uniquely determined beaded string. Let vkvk and v˜kv˜k represent the displacements of the masses in the vertical direction. The equations of motion for this system are governed by the following system of ODE's:

σ k ( v k ( t ) - v k + 1 ( t ) ) + σ k - 1 ( v k ( t ) - v k - 1 ( t ) ) + m k v k ' ' = 0 , k = 1 , 2 , , n 1 σ k ( v k ( t ) - v k + 1 ( t ) ) + σ k - 1 ( v k ( t ) - v k - 1 ( t ) ) + m k v k ' ' = 0 , k = 1 , 2 , , n 1 (1)
σ ˜ k ( v ˜ k ( t ) - v ˜ k + 1 ( t ) ) + σ ˜ k - 1 ( v ˜ k ( t ) - v ˜ k - 1 ( t ) ) + m ˜ k v ˜ k ' ' = 0 , k = 1 , 2 , , n 2 σ ˜ k ( v ˜ k ( t ) - v ˜ k + 1 ( t ) ) + σ ˜ k - 1 ( v ˜ k ( t ) - v ˜ k - 1 ( t ) ) + m ˜ k v ˜ k ' ' = 0 , k = 1 , 2 , , n 2 (2)

By assuming the displacement of bead mkmk behaves as ukeλtukeλt, the equations of motion for a beaded string give recurrence relations for the amplitudes of each individual bead:

u k = R 2 k - 2 ( λ 2 ) u 1 , u ˜ k = R ˜ 2 k - 2 ( λ 2 ) u ˜ 1 u k = R 2 k - 2 ( λ 2 ) u 1 , u ˜ k = R ˜ 2 k - 2 ( λ 2 ) u ˜ 1 (3)

Boyko and Pivovarchik show that the characteristic polynomial of the system of equations governing the motion of the beads is given by

φ ( λ 2 ) = R 2 n 1 ( λ 2 ) R ˜ 2 n 2 - 1 ( λ 2 ) + R 2 n 1 - 1 ( λ 2 ) R ˜ 2 n 2 ( λ 2 ) . φ ( λ 2 ) = R 2 n 1 ( λ 2 ) R ˜ 2 n 2 - 1 ( λ 2 ) + R 2 n 1 - 1 ( λ 2 ) R ˜ 2 n 2 ( λ 2 ) . (4)

The zeros of φ(λ2)φ(λ2), λk2λk2 { k=1,...,n1+n2k=1,...,n1+n2 }, are the eigenvalues of the system of ordinary differential equations that describe the motion of the string and are the frequencies at which the whole string vibrates. The polynomials R2n1(λ2)R2n1(λ2) and R˜2n2(λ2)R˜2n2(λ2) have roots that are the eigenvalues of the fixed-fixed boundary value problem for the left and right strings formed by clamping the string at the point where the left and right parts meet. The polynomials R2n1-1(λ2)R2n1-1(λ2) and R˜2n2-1(λ2)R˜2n2-1(λ2) have roots that are the corresponding eigenvalues of the fixed-flat boundary value problem. Although for the forward problem it is usually simpler to solve the eigenvalue problem generated directly from the ODE's given by equations Equation 1 and Equation 2 and the assumption that the displacements are complex exponentials, it is important to consider these RR polynomials for the inverse problem.

The Three-Spectral Inverse Problem

Denote the spectra of the unclamped string by λkλk, and the spectra of the left and right parts by νk,νk, and νk,rνk,r. LL is the length of the whole string and LL and LrLr are the lengths of the separate parts. From this information we immediately construct three polynomials:

p w ( λ 2 ) = L k = 1 n 1 + n 2 1 - λ 2 λ k 2 , p ( λ 2 ) = L k = 1 n 1 1 - λ 2 ν k , 2 , p r ( λ 2 ) = L r k = 1 n 2 1 - λ 2 ν k , r 2 p w ( λ 2 ) = L k = 1 n 1 + n 2 1 - λ 2 λ k 2 , p ( λ 2 ) = L k = 1 n 1 1 - λ 2 ν k , 2 , p r ( λ 2 ) = L r k = 1 n 2 1 - λ 2 ν k , r 2 (5)

Note that pw(λ2)pw(λ2) is proportional to φ(λ2)φ(λ2), p(λ2)p(λ2) is proportional to R2n1(λ2)R2n1(λ2), and prpr is proportional to R˜2n2(λ2)R˜2n2(λ2). It is known that the ratio of polynomials R2n1(z)/R2n1-1(z)R2n1(z)/R2n1-1(z) has the continued fraction expansion:

R 2 n 1 ( λ 2 ) R 2 n 1 - 1 ( λ 2 ) = n + 1 - m n σ λ 2 + 1 n - 1 + 1 - m n - 1 σ λ 2 + . . . + 1 1 + 1 - m 1 σ λ 2 + 1 0 R 2 n 1 ( λ 2 ) R 2 n 1 - 1 ( λ 2 ) = n + 1 - m n σ λ 2 + 1 n - 1 + 1 - m n - 1 σ λ 2 + . . . + 1 1 + 1 - m 1 σ λ 2 + 1 0 (6)

which reveals the masses of the beads and the lengths between them that we are looking for. Since p(λ2)p(λ2) is proportional to R2n1(λ2)R2n1(λ2), we search for a second polynomial q(λ2)q(λ2) such that p(λ2)/q(λ2)p(λ2)/q(λ2) gives the sought after continued fraction expansion. The same reasoning applies to the right part of the string.

q ( λ 2 ) = k = 1 n 1 λ 2 p w ( ν k , 2 ) ν k , 2 p r ( ν k , 2 ) j = 1 , j k n 1 ( λ 2 - ν j , 2 ) ( ν k , 2 - ν j , 2 ) + k = 1 n 1 ν k , 2 - λ 2 ν k , 2 q ( λ 2 ) = k = 1 n 1 λ 2 p w ( ν k , 2 ) ν k , 2 p r ( ν k , 2 ) j = 1 , j k n 1 ( λ 2 - ν j , 2 ) ( ν k , 2 - ν j , 2 ) + k = 1 n 1 ν k , 2 - λ 2 ν k , 2 (7)
q r ( λ 2 ) = k = 1 n 2 λ 2 p w ( ν k , r 2 ) ν k , r 2 p ( ν k , r 2 ) j = 1 , j k n 2 ( λ 2 - ν j , r 2 ) ( ν k , r 2 - ν j , r 2 ) + k = 1 n 2 ν k , r 2 - λ 2 ν k , r 2 q r ( λ 2 ) = k = 1 n 2 λ 2 p w ( ν k , r 2 ) ν k , r 2 p ( ν k , r 2 ) j = 1 , j k n 2 ( λ 2 - ν j , r 2 ) ( ν k , r 2 - ν j , r 2 ) + k = 1 n 2 ν k , r 2 - λ 2 ν k , r 2 (8)

After constructing these polynomials, we find their roots, which give us the second set of spectra for each of the left and right string parts. We now have all of the necessary information (fixed-fixed and fixed-flat spectra) to consider the problem reduced to two two-spectral problems. We use the algorithm presented in [2] to recover the lengths and masses from the continued fraction expansion using only the roots of the polynomials.

Experimental Setup

In the laboratory we have a beaded monochord consisting of steel piano wire held taut between two 5C collet fixtures. Behind one of the collets is a force transducer, and behind the other is a tensioner. The collets are initially open while the string is tensioned. The tension is monitored during this process via the force transducer. The collets are then closed and the system is ready for collecting data. Two phototransistors are positioned at each end of the string in perpendicular axes. In this way we can monitor the transverse vibrations both parallel and perpendicular to the ground at both ends of the string. The clamp is placed somewhere in the middle of the string such that at least one bead is left on each side of it. Both the tension and the phototransistors are monitored via a data acquisition card in a PC, and the information is collected and processed by MATLAB scripts.

Figure 2: Beaded monochord setup used to record data
Figure 2 (overview-crop.png)
Figure 3: The clamping mechanism
Figure 3 (clamp.png)
Figure 4: A two axis photodetector
Figure 4 (detector.png)

Experimental Results

Experimental testing has given very positive results. Despite the difficulties in collecting real data, the inverse algorithm just described has produced reasonable bead masses and lengths of string between the beads.

The peaks of the FFT plots shown in Figures Figure 5, Figure 6, and Figure 7, give the observed frequencies for each section of the string. These are the eigenvalues that are used to construct the polynomials used during the inversion procedure.

Two sets of lenghts and masses that we recovered are depicted visually in figures Figure 9 and Figure 11.

Figure 5: FFT plot for the whole string
Figure 5 (fftwhole.png)
Figure 6: FFT plot for the left clamped string
Figure 6 (fftleft.png)
Figure 7: FFT plot for the right clamped string
Figure 7 (fftright.png)

Results for a string with 3 beads

Figure 8: Measured
Figure 8 (BPd0008-measured.png)
Figure 9: Recovered
Figure 9 (BPd0008-recovered.png)
Table 1
  m 1 m 1 m ˜ 1 m ˜ 1 m ˜ 2 m ˜ 2 1 1 2 2 ˜ 1 ˜ 1 ˜ 2 ˜ 2 ˜ 3 ˜ 3
Measured 30.8 30.8 17.8 0.203 0.245 0.184 0.203 0.289
Recovered 29.5 29.7 16.1 0.207 0.240 0.192 0.211 0.273

Results for a string with 4 beads

Figure 10: Measured
Figure 10 (BPd0005-measured.png)
Figure 11: Recovered
Figure 11 (BPd0005-recovered.png)
Table 2
  m 1 m 1 m 2 m 2 m ˜ 1 m ˜ 1 m ˜ 2 m ˜ 2 1 1 2 2 3 3 ˜ 1 ˜ 1 ˜ 2 ˜ 2 ˜ 3 ˜ 3
Measured 30.8 17.8 30.8 30.8 0.127 0.229 0.092 0.362 0.152 0.162
Recovered 27.7 17.2 29.6 29.0 0.139 0.226 0.082 0.368 0.150 0.159

Acknowledgements

This Connexions module describes work conducted as part of Rice University's VIGRE program, supported by National Science Foundation grant DMS–0739420.

References

  1. Boyko, O and Pivovarchik, V. (2008). The inverse three-spectral problem for a Stieltjes string and the inverse problem with one-dimensional damping. Inverse Problems, 24, 1–13.
  2. Cox, S J and Embree, M and Hokanson, J. (2008). One can hear the composition of a string: Esperiments with an Inverse Eigenvalue Problem. http://www.caam.rice.edu/tech_reports/2008/TR08-10.pdf.

Content actions

Give Feedback:

E-mail the module author | Rate module ( How does the rating system work?)

Rating system

Ratings

Ratings allow you to judge the quality of modules. If other users have ranked the module then its average rating is displayed below. Ratings are calculated on a scale from one star (Poor) to five stars (Excellent).

How to rate a module

Hover over the star that corresponds to the rating you wish to assign. Click on the star to add your rating. Your rating should be based on the quality of the content. You must have an account and be logged in to rate content.

(0 ratings)

Download:

Add module to:

My Favorites (?)

'My Favorites' is a special kind of lens which you can use to bookmark modules and collections directly in Connexions. 'My Favorites' can only be seen by you, and collections saved in 'My Favorites' can remember the last module you were on. You need a Connexions account to use 'My Favorites'.

| A lens (?)

Definition of a lens

Lenses

A lens is a custom view of Connexions content. You can think of it as a fancy kind of list that will let you see Connexions through the eyes of organizations and people you trust.

What is in a lens?

Lens makers point to Connexions materials (modules and collections), creating a guide that includes their own comments and descriptive tags about the content.

Who can create a lens?

Any individual Connexions member, a community, or a respected organization.

What are tags? tag icon

Tags are descriptors added by lens makers to help label content, attaching a vocabulary that is meaningful in the context of the lens.

| External bookmarks