The document provides an overview of acoustics and sound waves presented in a lecture. It discusses the wave equation, acoustic tubes, reflections, resonances, and standing waves. Key concepts covered include traveling waves, wave velocity, terminations, transfer functions, scattering junctions, and modeling the vocal tract as a concatenated tube system.
The document discusses calculating and interpreting the Green's function or propagator for systems with polarons. It begins by defining the polaron and stating the quantity of interest is the one-particle retarded propagator. It then provides examples of calculating the propagator exactly for simple non-interacting and impurity models to build intuition. Finally, it outlines discussing the Holstein polaron model in bulk materials and how the polaron may be affected near a surface.
The document discusses solving the 2D wave equation using separation of variables and superposition. It separates the wave equation into ordinary differential equations for the spatial and temporal parts. The solutions to the spatial equations give normal modes, which are combined using superposition to satisfy the initial conditions. As an example, the document finds the solution for a rectangular membrane with a given initial shape.
This document discusses Bayesian nonparametric posterior concentration rates under different loss functions.
1. It provides an overview of posterior concentration, how it gives insights into priors and inference, and how minimax rates can characterize concentration classes.
2. The proof technique involves constructing tests and relating distances like KL divergence to the loss function. Examples where nice results exist include density estimation, regression, and white noise models.
3. For the white noise model with a random truncation prior, it shows L2 concentration and pointwise concentration rates match minimax. But for sup-norm loss, existing results only achieve a suboptimal rate. The document explores how to potentially obtain better adaptation for sup-norm loss.
The document discusses computational aspects of stochastic phase-field models. It begins by motivating the inclusion of thermal noise in phase-field simulations through examples of dendrite formation. It then provides background on the deterministic phase-field and Allen-Cahn models before introducing the stochastic Allen-Cahn equation with additive white noise. The remainder of the document discusses the importance of studying this problem both theoretically and computationally, as well as outlining the topics to be covered in more depth.
This document provides definitions and notations for 2-D systems and matrices. It defines how continuous and sampled 2-D signals like images are represented. It introduces some common 2-D functions used in signal processing like the Dirac delta, rectangle, and sinc functions. It describes how 2-D linear systems can be represented by matrices and discusses properties of the 2-D Fourier transform including the frequency response and eigenfunctions. It also introduces concepts of Toeplitz and circulant matrices and provides an example of convolving periodic sequences using circulant matrices. Finally, it defines orthogonal and unitary matrices.
This document discusses limit cycles of algebraic systems. It defines cycles and limit cycles, and provides examples of each using differential equations. Limit cycles represent isolated periodic solutions, while cycles are any periodic solutions. The document also discusses the Hamiltonian and Van der Pol equations, stating that the Van der Pol system has a non-algebraic limit cycle solution for some parameter values.
The document discusses properties and applications of the Z-transform, which is used to analyze linear discrete-time signals. Some key points:
1) The Z-transform plays an important role in analyzing discrete-time signals and is defined as the sum of the signal samples multiplied by a complex variable z raised to the power of the sample's time index.
2) Important properties of the Z-transform include linearity, time-shifting, frequency-shifting, differentiation in the Z-domain, and the convolution theorem.
3) The Z-transform can be used to find the transform of basic sequences like the unit impulse, unit step, exponentials, polynomials, and derivatives of signals.
The document discusses calculating and interpreting the Green's function or propagator for systems with polarons. It begins by defining the polaron and stating the quantity of interest is the one-particle retarded propagator. It then provides examples of calculating the propagator exactly for simple non-interacting and impurity models to build intuition. Finally, it outlines discussing the Holstein polaron model in bulk materials and how the polaron may be affected near a surface.
The document discusses solving the 2D wave equation using separation of variables and superposition. It separates the wave equation into ordinary differential equations for the spatial and temporal parts. The solutions to the spatial equations give normal modes, which are combined using superposition to satisfy the initial conditions. As an example, the document finds the solution for a rectangular membrane with a given initial shape.
This document discusses Bayesian nonparametric posterior concentration rates under different loss functions.
1. It provides an overview of posterior concentration, how it gives insights into priors and inference, and how minimax rates can characterize concentration classes.
2. The proof technique involves constructing tests and relating distances like KL divergence to the loss function. Examples where nice results exist include density estimation, regression, and white noise models.
3. For the white noise model with a random truncation prior, it shows L2 concentration and pointwise concentration rates match minimax. But for sup-norm loss, existing results only achieve a suboptimal rate. The document explores how to potentially obtain better adaptation for sup-norm loss.
The document discusses computational aspects of stochastic phase-field models. It begins by motivating the inclusion of thermal noise in phase-field simulations through examples of dendrite formation. It then provides background on the deterministic phase-field and Allen-Cahn models before introducing the stochastic Allen-Cahn equation with additive white noise. The remainder of the document discusses the importance of studying this problem both theoretically and computationally, as well as outlining the topics to be covered in more depth.
This document provides definitions and notations for 2-D systems and matrices. It defines how continuous and sampled 2-D signals like images are represented. It introduces some common 2-D functions used in signal processing like the Dirac delta, rectangle, and sinc functions. It describes how 2-D linear systems can be represented by matrices and discusses properties of the 2-D Fourier transform including the frequency response and eigenfunctions. It also introduces concepts of Toeplitz and circulant matrices and provides an example of convolving periodic sequences using circulant matrices. Finally, it defines orthogonal and unitary matrices.
This document discusses limit cycles of algebraic systems. It defines cycles and limit cycles, and provides examples of each using differential equations. Limit cycles represent isolated periodic solutions, while cycles are any periodic solutions. The document also discusses the Hamiltonian and Van der Pol equations, stating that the Van der Pol system has a non-algebraic limit cycle solution for some parameter values.
The document discusses properties and applications of the Z-transform, which is used to analyze linear discrete-time signals. Some key points:
1) The Z-transform plays an important role in analyzing discrete-time signals and is defined as the sum of the signal samples multiplied by a complex variable z raised to the power of the sample's time index.
2) Important properties of the Z-transform include linearity, time-shifting, frequency-shifting, differentiation in the Z-domain, and the convolution theorem.
3) The Z-transform can be used to find the transform of basic sequences like the unit impulse, unit step, exponentials, polynomials, and derivatives of signals.
11.[95 103]solution of telegraph equation by modified of double sumudu transf...Alexander Decker
1. The document presents a new mathematical transform called the double Elzaki transform.
2. This transform is used to solve the general linear telegraph equation, which is an important partial differential equation in physics.
3. The key steps are: taking the double Elzaki transform of the telegraph equation, taking the single Elzaki transform of the boundary and initial conditions, substituting these into the transformed equation, and taking the inverse transforms to obtain the solution.
The document summarizes the Metropolis-adjusted Langevin algorithm (MALA) for sampling from log-concave probability measures in high dimensions. It introduces MALA and different proposal distributions, including random walk, Ornstein-Uhlenbeck, and Euler proposals. It discusses known results on optimal scaling, diffusion limits, ergodicity, and mixing time bounds. The main result is a contraction property for the MALA transition kernel under appropriate assumptions, implying dimension-independent bounds on mixing times.
This document provides an introduction to inverse problems and their applications. It summarizes integral equations like Volterra and Fredholm equations of the first and second kind. It also describes inverse problems for partial differential equations, including inverse convection-diffusion, Poisson, and Laplace problems. Applications mentioned include medical imaging, non-destructive testing, and geophysics. Bibliographic references are provided.
This document discusses an integrate-and-dump detector used in digital communications. It describes the operation of the integrate-and-dump detector, showing how it integrates the received signal plus noise over each symbol interval. The output of the integrator is used to detect whether a 1 or 0 was transmitted. An expression is derived for the probability of detection error in terms of the signal amplitude, noise power spectral density, and symbol interval. An example is also provided to calculate the error probability for a given binary signaling scheme and system parameters.
This document contains the homework assignment for Dr. Ashu Sabharwal's ELEC 430 class at Rice University due on February 19, 2009. It includes 3 exercises on topics related to signaling and detection:
1. The likelihood ratio test is derived for a binary communication system with additive white Gaussian noise. Conditional probability density functions are found and used to determine the probability of error as a function of threshold.
2. Matched filters are discussed for an antipodal signaling system. The impulse response and output of the matched filter are sketched. Expressions are derived for the noise variance and probability of error.
3. Orthogonal signal properties are explored for a set of signals that are modified by subtracting
Gauge systems and functions, hermitian operators and clocks as conjugate func...vcuesta
This document summarizes a research article about gauge systems and constraints in physics. It discusses two key problems that can arise: 1) Clocks may not be well-defined over the entire phase space. 2) Quantum operators associated with complete observables may not be self-adjoint. The summary proposes selecting clocks such that their Poisson brackets with constraints are equal to 1. This is shown to solve the two problems for several example systems, including a free particle and a system with two constraints. Clocks and complete observables are constructed for the examples, and it is verified that the operators are self-adjoint.
1) The document describes a methodology for measuring the Mueller matrices of monomode optical fibers under uniform strains using an optical polarimeter and Stokes-Mueller formalism.
2) A theoretical model based on coupled-mode equations is used to describe polarization evolution in uniformly perturbed fibers and relate it to physical fiber parameters like coupling coefficients.
3) Experiments are conducted to measure fiber Mueller matrices under different strains. The measured matrices are then analyzed to extract the physical coupling coefficients and assess the validity of the theoretical model.
An Affine Combination Of Two Lms Adaptive Filtersbermudez_jcm
A recent paper studied the statistical behavior of an affine com- bination of two LMS adaptive filters that simultaneously adapt on the same inputs. The filter outputs are linearly combined to yield a performance that is better than that of either filter. Various de- cision rules can be used to determine the time-varying combining parameter λ(n). A scheme based on the ratio of error powers of the two filters was proposed. Monte Carlo simulations demon- strated nearly optimum performance for this scheme. The purpose of this paper is to analyze the statistitical behavior of such error power scheme. Expressions are derived for the mean behavior of λ(n) and for the weight mean-square deviation. Monte Carlo simulations show excellent agreement with the theoretical predictions.
This document provides an overview of signal-noise separation in singular spectrum analysis (SSA). It discusses how SSA works, including the decomposition and reconstruction stages. In the decomposition stage, a time series is embedded into a trajectory matrix and SVD is applied. In the reconstruction stage, eigentriples are grouped into signal and noise components, the trajectory matrix is reconstructed, and diagonal averaging is used to transform it back into a time series. Key steps include selecting the embedding dimension m and number of signal components k. The document also discusses parameter selection and how the embedding dimension relates to the dimensionality of the underlying manifold.
This document discusses unconditionally stable finite-difference time-domain (FDTD) methods for solving Maxwell's equations numerically. It outlines FDTD algorithms such as Yee's method from 1966 which discretize the equations on a staggered grid. It also discusses the von Neumann stability analysis and compares implicit Crank-Nicolson and alternating-direction implicit methods to conventional explicit FDTD methods. The document notes the advantages of unconditionally stable methods but also mentions potential disadvantages.
Adiabatic Theorem for Discrete Time Evolutiontanaka-atushi
The document summarizes the proof of an adiabatic theorem for discrete time evolution described by quantum maps. It extends Kato's proof of the adiabatic theorem to the discrete setting by using an interaction picture and showing that the main estimation involves terms that decay as O(N^-1) through destructive interference, proving the theorem. The proof technique involves introducing a geometric evolution operator and using a discrete version of integration by parts.
The document describes balanced homodyne detection and its use for linear optical sampling of light fields. Balanced homodyne detection measures the quadrature amplitudes of a signal field using a strong local oscillator field that acts as a phase reference. By varying the delay and phase of the local oscillator, different quadratures of the signal field can be sampled. This allows the direct measurement of mean quadrature amplitudes with sub-picosecond time resolution. It also enables the indirect measurement of photon number and photon number fluctuations in the signal by analyzing the statistics of the sampled quadratures over many repetitions. Linear optical sampling provides an alternative to nonlinear optical sampling for ultrafast optical sampling applications.
This document summarizes a talk on Lorentz surfaces in pseudo-Riemannian space forms with horizontal reflector lifts. It introduces examples of Lorentz surfaces with zero mean curvature in these spaces. It also discusses reflector spaces and horizontal reflector lifts, and presents a rigidity theorem stating that if two isometric immersions from a Lorentz surface to a pseudo-Riemannian space form both have horizontal reflector lifts and satisfy certain curvature conditions, then the immersions must differ by an isometry of the target space.
Simulation of Magnetically Confined Plasma for Etch Applicationsvvk0
The document describes computational optimization of plasma uniformity in a magnetically enhanced capacitively coupled plasma (CCP) reactor for disk etch applications. Initial simulations using a two-dimensional hybrid plasma equipment model (HPEM) showed non-uniform electron density and radical distributions in a CFP plasma with the magnet placed 125 mm from the substrate. The distance between the magnet and substrate was increased to 113 mm, which improved the uniformity of the electron density, CFx radical densities, and plasma potential above the substrate. Further simulations varying the magnet distance found that plasma density and F radical density decreased with smaller magnet-substrate gaps. The study demonstrates optimization of plasma uniformity through computational modeling of magnetic field and plasma transport parameters.
This MATLAB code provides an example of plotting a truncated Fourier series representation of a square wave signal. It computes the Fourier series in both complex exponential form (yce) and trigonometric form (yt) up to the Nth term, where N is an odd integer. It plots the original square wave, the truncated Fourier series approximations yce and yt, and their amplitude and phase spectra. The code demonstrates how to calculate and visualize truncated Fourier series representations of a periodic signal.
The International Journal of Engineering and Science (The IJES)theijes
The document summarizes a study that uses Painleve analysis to solve a nonlinear partial differential equation (NLPDE). It begins by introducing Painleve analysis and its use in investigating the integrability of NLPDEs. It then outlines the methodology, implementing the Painleve analysis on the Boussinesq equation to obtain its exact traveling wave solution. Specifically, it obtains the exponents and coefficients of the Laurent series, identifies the dominant terms, and truncates the series to define a transformation. This yields an exact solitary wave solution to the Boussinesq equation.
1. Position angle (θ) is measured in revolutions, degrees, or radians. Common units include 1 revolution = 360° = 2π radians.
2. Angular displacement (Δθ) is the change in position angle between an initial angle (θ1) and final angle (θ2).
3. Angular velocity (ω) is the rate of change of the angular displacement with respect to time and is measured in radians/second. Average and instantaneous angular velocity can be calculated.
Mesh Processing Course : Active ContoursGabriel Peyré
(1) Active contours, or snakes, are parametric or geometric active contour models used for edge detection and image segmentation. (2) Parametric active contours represent curves explicitly through parameterization, while implicit active contours represent curves as the zero level set of a higher dimensional function. (3) Active contours evolve to minimize an energy functional comprising an internal regularization term and an external image-based term, converging to object boundaries or other image features.
Introduction to modern time series analysisSpringer
The document summarizes univariate stationary time series processes, including autoregressive (AR) and moving average (MA) models. It presents the derivation of the Wold representation for a first-order autoregressive (AR(1)) process using successive substitution and the lag operator. For an AR(1) process to be weakly stationary, the coefficient must be between -1 and 1 and the initial value must be stochastic rather than fixed. The moments of an AR(1) process are also constant over time.
1) The document discusses solving partial differential equations using variable separation. It presents the one-dimensional wave equation and solves it using variable separation.
2) It derives three cases for the solution based on whether k is positive, negative, or zero. It then presents the general solution as a summation involving sines and cosines.
3) It applies the general solution to two example problems of a vibrating string, finding the displacement as a function of position and time by satisfying the boundary conditions.
The one-dimensional wave equation governs vibrations of an elastic string. It is solved by separating variables, yielding solutions of the form F(x)G(t) where F and G satisfy ordinary differential equations. Boundary conditions require F(x) to be sinusoidal, with wavelengths that are integer multiples of the string length. The general solution is a superposition of these sinusoidal modes, with coefficients determined by the initial conditions. Motions of strings with different initial displacements are expressed as solutions to the one-dimensional wave equation.
11.[95 103]solution of telegraph equation by modified of double sumudu transf...Alexander Decker
1. The document presents a new mathematical transform called the double Elzaki transform.
2. This transform is used to solve the general linear telegraph equation, which is an important partial differential equation in physics.
3. The key steps are: taking the double Elzaki transform of the telegraph equation, taking the single Elzaki transform of the boundary and initial conditions, substituting these into the transformed equation, and taking the inverse transforms to obtain the solution.
The document summarizes the Metropolis-adjusted Langevin algorithm (MALA) for sampling from log-concave probability measures in high dimensions. It introduces MALA and different proposal distributions, including random walk, Ornstein-Uhlenbeck, and Euler proposals. It discusses known results on optimal scaling, diffusion limits, ergodicity, and mixing time bounds. The main result is a contraction property for the MALA transition kernel under appropriate assumptions, implying dimension-independent bounds on mixing times.
This document provides an introduction to inverse problems and their applications. It summarizes integral equations like Volterra and Fredholm equations of the first and second kind. It also describes inverse problems for partial differential equations, including inverse convection-diffusion, Poisson, and Laplace problems. Applications mentioned include medical imaging, non-destructive testing, and geophysics. Bibliographic references are provided.
This document discusses an integrate-and-dump detector used in digital communications. It describes the operation of the integrate-and-dump detector, showing how it integrates the received signal plus noise over each symbol interval. The output of the integrator is used to detect whether a 1 or 0 was transmitted. An expression is derived for the probability of detection error in terms of the signal amplitude, noise power spectral density, and symbol interval. An example is also provided to calculate the error probability for a given binary signaling scheme and system parameters.
This document contains the homework assignment for Dr. Ashu Sabharwal's ELEC 430 class at Rice University due on February 19, 2009. It includes 3 exercises on topics related to signaling and detection:
1. The likelihood ratio test is derived for a binary communication system with additive white Gaussian noise. Conditional probability density functions are found and used to determine the probability of error as a function of threshold.
2. Matched filters are discussed for an antipodal signaling system. The impulse response and output of the matched filter are sketched. Expressions are derived for the noise variance and probability of error.
3. Orthogonal signal properties are explored for a set of signals that are modified by subtracting
Gauge systems and functions, hermitian operators and clocks as conjugate func...vcuesta
This document summarizes a research article about gauge systems and constraints in physics. It discusses two key problems that can arise: 1) Clocks may not be well-defined over the entire phase space. 2) Quantum operators associated with complete observables may not be self-adjoint. The summary proposes selecting clocks such that their Poisson brackets with constraints are equal to 1. This is shown to solve the two problems for several example systems, including a free particle and a system with two constraints. Clocks and complete observables are constructed for the examples, and it is verified that the operators are self-adjoint.
1) The document describes a methodology for measuring the Mueller matrices of monomode optical fibers under uniform strains using an optical polarimeter and Stokes-Mueller formalism.
2) A theoretical model based on coupled-mode equations is used to describe polarization evolution in uniformly perturbed fibers and relate it to physical fiber parameters like coupling coefficients.
3) Experiments are conducted to measure fiber Mueller matrices under different strains. The measured matrices are then analyzed to extract the physical coupling coefficients and assess the validity of the theoretical model.
An Affine Combination Of Two Lms Adaptive Filtersbermudez_jcm
A recent paper studied the statistical behavior of an affine com- bination of two LMS adaptive filters that simultaneously adapt on the same inputs. The filter outputs are linearly combined to yield a performance that is better than that of either filter. Various de- cision rules can be used to determine the time-varying combining parameter λ(n). A scheme based on the ratio of error powers of the two filters was proposed. Monte Carlo simulations demon- strated nearly optimum performance for this scheme. The purpose of this paper is to analyze the statistitical behavior of such error power scheme. Expressions are derived for the mean behavior of λ(n) and for the weight mean-square deviation. Monte Carlo simulations show excellent agreement with the theoretical predictions.
This document provides an overview of signal-noise separation in singular spectrum analysis (SSA). It discusses how SSA works, including the decomposition and reconstruction stages. In the decomposition stage, a time series is embedded into a trajectory matrix and SVD is applied. In the reconstruction stage, eigentriples are grouped into signal and noise components, the trajectory matrix is reconstructed, and diagonal averaging is used to transform it back into a time series. Key steps include selecting the embedding dimension m and number of signal components k. The document also discusses parameter selection and how the embedding dimension relates to the dimensionality of the underlying manifold.
This document discusses unconditionally stable finite-difference time-domain (FDTD) methods for solving Maxwell's equations numerically. It outlines FDTD algorithms such as Yee's method from 1966 which discretize the equations on a staggered grid. It also discusses the von Neumann stability analysis and compares implicit Crank-Nicolson and alternating-direction implicit methods to conventional explicit FDTD methods. The document notes the advantages of unconditionally stable methods but also mentions potential disadvantages.
Adiabatic Theorem for Discrete Time Evolutiontanaka-atushi
The document summarizes the proof of an adiabatic theorem for discrete time evolution described by quantum maps. It extends Kato's proof of the adiabatic theorem to the discrete setting by using an interaction picture and showing that the main estimation involves terms that decay as O(N^-1) through destructive interference, proving the theorem. The proof technique involves introducing a geometric evolution operator and using a discrete version of integration by parts.
The document describes balanced homodyne detection and its use for linear optical sampling of light fields. Balanced homodyne detection measures the quadrature amplitudes of a signal field using a strong local oscillator field that acts as a phase reference. By varying the delay and phase of the local oscillator, different quadratures of the signal field can be sampled. This allows the direct measurement of mean quadrature amplitudes with sub-picosecond time resolution. It also enables the indirect measurement of photon number and photon number fluctuations in the signal by analyzing the statistics of the sampled quadratures over many repetitions. Linear optical sampling provides an alternative to nonlinear optical sampling for ultrafast optical sampling applications.
This document summarizes a talk on Lorentz surfaces in pseudo-Riemannian space forms with horizontal reflector lifts. It introduces examples of Lorentz surfaces with zero mean curvature in these spaces. It also discusses reflector spaces and horizontal reflector lifts, and presents a rigidity theorem stating that if two isometric immersions from a Lorentz surface to a pseudo-Riemannian space form both have horizontal reflector lifts and satisfy certain curvature conditions, then the immersions must differ by an isometry of the target space.
Simulation of Magnetically Confined Plasma for Etch Applicationsvvk0
The document describes computational optimization of plasma uniformity in a magnetically enhanced capacitively coupled plasma (CCP) reactor for disk etch applications. Initial simulations using a two-dimensional hybrid plasma equipment model (HPEM) showed non-uniform electron density and radical distributions in a CFP plasma with the magnet placed 125 mm from the substrate. The distance between the magnet and substrate was increased to 113 mm, which improved the uniformity of the electron density, CFx radical densities, and plasma potential above the substrate. Further simulations varying the magnet distance found that plasma density and F radical density decreased with smaller magnet-substrate gaps. The study demonstrates optimization of plasma uniformity through computational modeling of magnetic field and plasma transport parameters.
This MATLAB code provides an example of plotting a truncated Fourier series representation of a square wave signal. It computes the Fourier series in both complex exponential form (yce) and trigonometric form (yt) up to the Nth term, where N is an odd integer. It plots the original square wave, the truncated Fourier series approximations yce and yt, and their amplitude and phase spectra. The code demonstrates how to calculate and visualize truncated Fourier series representations of a periodic signal.
The International Journal of Engineering and Science (The IJES)theijes
The document summarizes a study that uses Painleve analysis to solve a nonlinear partial differential equation (NLPDE). It begins by introducing Painleve analysis and its use in investigating the integrability of NLPDEs. It then outlines the methodology, implementing the Painleve analysis on the Boussinesq equation to obtain its exact traveling wave solution. Specifically, it obtains the exponents and coefficients of the Laurent series, identifies the dominant terms, and truncates the series to define a transformation. This yields an exact solitary wave solution to the Boussinesq equation.
1. Position angle (θ) is measured in revolutions, degrees, or radians. Common units include 1 revolution = 360° = 2π radians.
2. Angular displacement (Δθ) is the change in position angle between an initial angle (θ1) and final angle (θ2).
3. Angular velocity (ω) is the rate of change of the angular displacement with respect to time and is measured in radians/second. Average and instantaneous angular velocity can be calculated.
Mesh Processing Course : Active ContoursGabriel Peyré
(1) Active contours, or snakes, are parametric or geometric active contour models used for edge detection and image segmentation. (2) Parametric active contours represent curves explicitly through parameterization, while implicit active contours represent curves as the zero level set of a higher dimensional function. (3) Active contours evolve to minimize an energy functional comprising an internal regularization term and an external image-based term, converging to object boundaries or other image features.
Introduction to modern time series analysisSpringer
The document summarizes univariate stationary time series processes, including autoregressive (AR) and moving average (MA) models. It presents the derivation of the Wold representation for a first-order autoregressive (AR(1)) process using successive substitution and the lag operator. For an AR(1) process to be weakly stationary, the coefficient must be between -1 and 1 and the initial value must be stochastic rather than fixed. The moments of an AR(1) process are also constant over time.
1) The document discusses solving partial differential equations using variable separation. It presents the one-dimensional wave equation and solves it using variable separation.
2) It derives three cases for the solution based on whether k is positive, negative, or zero. It then presents the general solution as a summation involving sines and cosines.
3) It applies the general solution to two example problems of a vibrating string, finding the displacement as a function of position and time by satisfying the boundary conditions.
The one-dimensional wave equation governs vibrations of an elastic string. It is solved by separating variables, yielding solutions of the form F(x)G(t) where F and G satisfy ordinary differential equations. Boundary conditions require F(x) to be sinusoidal, with wavelengths that are integer multiples of the string length. The general solution is a superposition of these sinusoidal modes, with coefficients determined by the initial conditions. Motions of strings with different initial displacements are expressed as solutions to the one-dimensional wave equation.
1. The document provides solutions to homework problems involving partial differential equations.
2. Problem 1 solves the wave equation utt = c2uxx using d'Alembert's formula to find the solution u(x,t).
3. Problem 2 proves that if the initial conditions φ and ψ are odd functions, then the solution u(x,t) is also an odd function.
Standing waves occur when two waves of equal amplitude, wavelength, and frequency travel in opposite directions and superimpose. The result is a wave with a position-dependent amplitude described by A(x)=2Asin(kx), where k is the wavenumber. Nodes occur at integer multiples of half wavelengths, where the amplitude is zero. Anti-nodes occur at odd integer multiples of quarter wavelengths, where the amplitude is maximum (2A). The full equation for a standing wave is D(x,t)=2Asin(kx)cos(ωt), relating amplitude to position and time using sines and cosines respectively.
This document discusses transmission line modes, beginning with TEM, TE, and TM waves. It then focuses on the TEM mode, deriving the electric and magnetic fields for a TEM wave. Next, it examines the TEM mode in more detail for a coaxial cable, finding the electric and magnetic fields and characteristic impedance. It concludes by briefly discussing surface waves on a grounded dielectric slab.
The document discusses electromagnetic waves and plane waves. It introduces Maxwell's equations, which describe electromagnetic waves that propagate through space at the speed of light. The document shows that the electric and magnetic fields of a plane wave oscillate perpendicular to the direction of propagation, and that the electric and magnetic fields are perpendicular to each other as well. It also defines the Poynting vector, which represents the direction and magnitude of the flow of electromagnetic energy.
This document provides an overview of second order ordinary differential equations (ODEs). It discusses the method of variation of parameters for finding particular solutions to inhomogeneous second order linear ODEs. It provides examples of applying this method, including a spring-mass system and an electric circuit. It also discusses applications of second order ODEs to modeling spring-mass systems and electric circuits.
11.vibration characteristics of non homogeneous visco-elastic square plateAlexander Decker
This document presents research on the vibration characteristics of a non-homogeneous visco-elastic square plate with variations in thickness and temperature. A mathematical model is developed to analyze the effects of thermal gradients and taper parameters on the fundamental frequencies of the plate. The frequencies of the first two vibration modes are calculated for different values of the parameters using MATLAB. The results show that the frequencies decrease with increasing thermal gradient but increase with rising taper constants. The study aims to provide engineers and researchers a theoretical model to analyze thermally induced vibrations in non-homogeneous plates.
Vibration characteristics of non homogeneous visco-elastic square plateAlexander Decker
This document presents a mathematical model to analyze the vibration characteristics of a non-homogeneous visco-elastic square plate with variations in thickness and temperature. Rayleigh-Ritz method is used to derive the frequency equation for a plate with thickness tapering parabolically in one direction and temperature varying linearly in one direction and parabolically in another. Computational analysis using MATLAB calculates the fundamental frequencies for the first two vibration modes under varying thermal gradient and taper parameters. The results show that the frequency decreases with increasing thermal gradient or thickness tapering for both vibration modes.
This document introduces stochastic differential equations (SDEs). It defines SDEs as differential equations where at least one term is a stochastic process. It provides examples of SDEs including the Wiener process (also called Brownian motion), which describes the random motion of particles suspended in a fluid. The document also discusses properties of Brownian motion such as its probability distribution and independence over time intervals. It introduces the Lévy–Ciesielski construction method for building Brownian motion using Haar functions.
This document discusses the path integral formulation of quantum mechanics and its application to relativistic theories like general relativity. It introduces causal dynamical triangulations as an approach to quantizing gravity by defining a path integral over causal triangulations of spacetime geometries. This allows imposing global hyperbolicity and causality constraints to avoid issues like wormholes and baby universes. The approach aims to make quantum gravity computations possible using desktop computers by dynamically triangulating Lorentzian spacetimes.
The document discusses wave energy and interference. It defines standing waves as occurring when a traveling wave is reflected by a fixed boundary, resulting in the superposition of the original wave and reflected wave. Standing waves have nodes where the displacement is always zero, and antinodes where the displacement is at a maximum. The normal modes of a system are its allowed standing wave patterns, which are determined by the boundary conditions. For a string fixed at both ends, the normal modes are half-wavelengths that are integer multiples of the string length.
11.[104 111]analytical solution for telegraph equation by modified of sumudu ...Alexander Decker
1) The document presents a new integral transform method called the Elzaki transform to solve the general linear telegraph equation.
2) The Elzaki transform is used to obtain analytical solutions for the telegraph equation. Definitions and properties of the transform are provided.
3) Several examples are presented to demonstrate the method. Exact solutions to examples of the telegraph equation are obtained using the Elzaki transform.
This document discusses unconditionally stable finite-difference time-domain (FDTD) methods for solving Maxwell's equations numerically. It outlines FDTD algorithms such as Yee's method from 1966 which discretize the equations on a staggered grid. It also discusses the von Neumann stability analysis and compares implicit Crank-Nicolson and alternating-direction implicit methods to conventional explicit FDTD methods. The document notes the advantages of unconditionally stable methods but also mentions potential disadvantages.
This document discusses unconditionally stable finite-difference time-domain (FDTD) methods for solving Maxwell's equations numerically. It outlines FDTD algorithms such as Yee's method from 1966 which discretize the equations on a staggered grid. It also discusses the von Neumann stability analysis and compares implicit Crank-Nicolson and alternating-direction implicit methods to conventional explicit FDTD methods. The document examines the advantages and disadvantages of unconditionally stable FDTD approaches.
What happens when the Kolmogorov-Zakharov spectrum is nonlocal?Colm Connaughton
This document summarizes research on the behavior of the Kolmogorov-Zakharov (KZ) spectrum when it is nonlocal. It examines a model of cluster-cluster aggregation described by the Smoluchowski equation, which can be viewed as a model of 3-wave turbulence without backscatter. The research finds that when the exponents in the interaction term satisfy certain conditions, the KZ spectrum is nonlocal. In this case, the stationary state has a novel functional form and can become unstable, leading to oscillatory behavior in the cascade dynamics at long times. Open questions remain about whether physical systems exhibit this behavior and how the results are affected by including backscatter terms.
The slides are designed for my guided study in MSc CUHK.
It is about the brief description on classical mechanics and quantum mechanics .
Some Slides I got from the slideshare clipboards for better illustration of the ideas in Physics. Thanks to slideshare, I make a milestone on presenting one of the prominent fields in modern physics.
On the Stick and Rope Problem - Draft 1Iwan Pranoto
This document discusses the stick and rope problem of finding a smooth function that maximizes the area under the graph subject to the constraint that the length of the graph is a given fixed value.
The problem is analyzed for the case where both ends of the rope are fixed at zero. It is shown that when the fixed length is between 1 and π/2, the optimal solution is a segment of a circle with its center on the vertical line at t=1/2.
The proof uses Lagrange multipliers to derive an equation that the optimal function must satisfy, showing it is the equation of a circle. Boundary conditions then determine the circle's parameters. Special cases for longer rope lengths are also discussed
This document discusses the basic principles of seismic waves. It introduces longitudinal (P) waves and shear (S) waves, and derives the one-dimensional wave equation. It discusses wave phenomena like reflection, transmission, and refraction based on Snell's law at boundaries between layers. It also discusses the different arrivals of direct, reflected, and refracted/head waves that can be measured at the surface for seismic exploration purposes.
The document discusses the Schrödinger equation, which describes the wave-like behavior of matter and microscopic particles. It introduces the time-dependent and time-independent Schrödinger equations. The time-independent Schrödinger equation can be derived by separating the time and space dependencies of the wave function for situations where the potential is independent of time. Solving the time-independent Schrödinger equation provides the possible energy states of the system.
Chapter wise All Notes of First year Basic Civil Engineering.pptxDenish Jangid
Chapter wise All Notes of First year Basic Civil Engineering
Syllabus
Chapter-1
Introduction to objective, scope and outcome the subject
Chapter 2
Introduction: Scope and Specialization of Civil Engineering, Role of civil Engineer in Society, Impact of infrastructural development on economy of country.
Chapter 3
Surveying: Object Principles & Types of Surveying; Site Plans, Plans & Maps; Scales & Unit of different Measurements.
Linear Measurements: Instruments used. Linear Measurement by Tape, Ranging out Survey Lines and overcoming Obstructions; Measurements on sloping ground; Tape corrections, conventional symbols. Angular Measurements: Instruments used; Introduction to Compass Surveying, Bearings and Longitude & Latitude of a Line, Introduction to total station.
Levelling: Instrument used Object of levelling, Methods of levelling in brief, and Contour maps.
Chapter 4
Buildings: Selection of site for Buildings, Layout of Building Plan, Types of buildings, Plinth area, carpet area, floor space index, Introduction to building byelaws, concept of sun light & ventilation. Components of Buildings & their functions, Basic concept of R.C.C., Introduction to types of foundation
Chapter 5
Transportation: Introduction to Transportation Engineering; Traffic and Road Safety: Types and Characteristics of Various Modes of Transportation; Various Road Traffic Signs, Causes of Accidents and Road Safety Measures.
Chapter 6
Environmental Engineering: Environmental Pollution, Environmental Acts and Regulations, Functional Concepts of Ecology, Basics of Species, Biodiversity, Ecosystem, Hydrological Cycle; Chemical Cycles: Carbon, Nitrogen & Phosphorus; Energy Flow in Ecosystems.
Water Pollution: Water Quality standards, Introduction to Treatment & Disposal of Waste Water. Reuse and Saving of Water, Rain Water Harvesting. Solid Waste Management: Classification of Solid Waste, Collection, Transportation and Disposal of Solid. Recycling of Solid Waste: Energy Recovery, Sanitary Landfill, On-Site Sanitation. Air & Noise Pollution: Primary and Secondary air pollutants, Harmful effects of Air Pollution, Control of Air Pollution. . Noise Pollution Harmful Effects of noise pollution, control of noise pollution, Global warming & Climate Change, Ozone depletion, Greenhouse effect
Text Books:
1. Palancharmy, Basic Civil Engineering, McGraw Hill publishers.
2. Satheesh Gopi, Basic Civil Engineering, Pearson Publishers.
3. Ketki Rangwala Dalal, Essentials of Civil Engineering, Charotar Publishing House.
4. BCP, Surveying volume 1
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إضغ بين إيديكم من أقوى الملازم التي صممتها
ملزمة تشريح الجهاز الهيكلي (نظري 3)
💀💀💀💀💀💀💀💀💀💀
تتميز هذهِ الملزمة بعِدة مُميزات :
1- مُترجمة ترجمة تُناسب جميع المستويات
2- تحتوي على 78 رسم توضيحي لكل كلمة موجودة بالملزمة (لكل كلمة !!!!)
#فهم_ماكو_درخ
3- دقة الكتابة والصور عالية جداً جداً جداً
4- هُنالك بعض المعلومات تم توضيحها بشكل تفصيلي جداً (تُعتبر لدى الطالب أو الطالبة بإنها معلومات مُبهمة ومع ذلك تم توضيح هذهِ المعلومات المُبهمة بشكل تفصيلي جداً
5- الملزمة تشرح نفسها ب نفسها بس تكلك تعال اقراني
6- تحتوي الملزمة في اول سلايد على خارطة تتضمن جميع تفرُعات معلومات الجهاز الهيكلي المذكورة في هذهِ الملزمة
واخيراً هذهِ الملزمة حلالٌ عليكم وإتمنى منكم إن تدعولي بالخير والصحة والعافية فقط
كل التوفيق زملائي وزميلاتي ، زميلكم محمد الذهبي 💊💊
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This presentation was provided by Rebecca Benner, Ph.D., of the American Society of Anesthesiologists, for the second session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session Two: 'Expanding Pathways to Publishing Careers,' was held June 13, 2024.
This presentation was provided by Racquel Jemison, Ph.D., Christina MacLaughlin, Ph.D., and Paulomi Majumder. Ph.D., all of the American Chemical Society, for the second session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session Two: 'Expanding Pathways to Publishing Careers,' was held June 13, 2024.
Leveraging Generative AI to Drive Nonprofit InnovationTechSoup
In this webinar, participants learned how to utilize Generative AI to streamline operations and elevate member engagement. Amazon Web Service experts provided a customer specific use cases and dived into low/no-code tools that are quick and easy to deploy through Amazon Web Service (AWS.)
THE SACRIFICE HOW PRO-PALESTINE PROTESTS STUDENTS ARE SACRIFICING TO CHANGE T...indexPub
The recent surge in pro-Palestine student activism has prompted significant responses from universities, ranging from negotiations and divestment commitments to increased transparency about investments in companies supporting the war on Gaza. This activism has led to the cessation of student encampments but also highlighted the substantial sacrifices made by students, including academic disruptions and personal risks. The primary drivers of these protests are poor university administration, lack of transparency, and inadequate communication between officials and students. This study examines the profound emotional, psychological, and professional impacts on students engaged in pro-Palestine protests, focusing on Generation Z's (Gen-Z) activism dynamics. This paper explores the significant sacrifices made by these students and even the professors supporting the pro-Palestine movement, with a focus on recent global movements. Through an in-depth analysis of printed and electronic media, the study examines the impacts of these sacrifices on the academic and personal lives of those involved. The paper highlights examples from various universities, demonstrating student activism's long-term and short-term effects, including disciplinary actions, social backlash, and career implications. The researchers also explore the broader implications of student sacrifices. The findings reveal that these sacrifices are driven by a profound commitment to justice and human rights, and are influenced by the increasing availability of information, peer interactions, and personal convictions. The study also discusses the broader implications of this activism, comparing it to historical precedents and assessing its potential to influence policy and public opinion. The emotional and psychological toll on student activists is significant, but their sense of purpose and community support mitigates some of these challenges. However, the researchers call for acknowledging the broader Impact of these sacrifices on the future global movement of FreePalestine.
A Visual Guide to 1 Samuel | A Tale of Two HeartsSteve Thomason
These slides walk through the story of 1 Samuel. Samuel is the last judge of Israel. The people reject God and want a king. Saul is anointed as the first king, but he is not a good king. David, the shepherd boy is anointed and Saul is envious of him. David shows honor while Saul continues to self destruct.
Philippine Edukasyong Pantahanan at Pangkabuhayan (EPP) CurriculumMJDuyan
(𝐓𝐋𝐄 𝟏𝟎𝟎) (𝐋𝐞𝐬𝐬𝐨𝐧 𝟏)-𝐏𝐫𝐞𝐥𝐢𝐦𝐬
𝐃𝐢𝐬𝐜𝐮𝐬𝐬 𝐭𝐡𝐞 𝐄𝐏𝐏 𝐂𝐮𝐫𝐫𝐢𝐜𝐮𝐥𝐮𝐦 𝐢𝐧 𝐭𝐡𝐞 𝐏𝐡𝐢𝐥𝐢𝐩𝐩𝐢𝐧𝐞𝐬:
- Understand the goals and objectives of the Edukasyong Pantahanan at Pangkabuhayan (EPP) curriculum, recognizing its importance in fostering practical life skills and values among students. Students will also be able to identify the key components and subjects covered, such as agriculture, home economics, industrial arts, and information and communication technology.
𝐄𝐱𝐩𝐥𝐚𝐢𝐧 𝐭𝐡𝐞 𝐍𝐚𝐭𝐮𝐫𝐞 𝐚𝐧𝐝 𝐒𝐜𝐨𝐩𝐞 𝐨𝐟 𝐚𝐧 𝐄𝐧𝐭𝐫𝐞𝐩𝐫𝐞𝐧𝐞𝐮𝐫:
-Define entrepreneurship, distinguishing it from general business activities by emphasizing its focus on innovation, risk-taking, and value creation. Students will describe the characteristics and traits of successful entrepreneurs, including their roles and responsibilities, and discuss the broader economic and social impacts of entrepreneurial activities on both local and global scales.
3. Acoustics & sound
Acoustics is the study of physical waves
(Acoustic) waves transmit energy without permanently
displacing matter (e.g. ocean waves)
Same math recurs in many domains
Intuition: pulse going down a rope
E6820 SAPR (Ellis & Mandel) Acoustics January 29, 2009 3 / 38
4. The wave equation
Consider a small section of the rope
y
S
φ2
ε
x
φ1
S
Displacement y (x), tension S, mass dx
⇒ Lateral force is
Fy = S sin(φ2 ) − S sin(φ1 )
∂2y
≈S dx
∂x 2
E6820 SAPR (Ellis & Mandel) Acoustics January 29, 2009 4 / 38
5. Wave equation (2)
Newton’s law: F = ma
∂2y ∂2y
S dx = dx 2
∂x 2 ∂t
Call c 2 = S/ (tension to mass-per-length)
hence, the Wave Equation:
∂2y ∂2y
c2 = 2
∂x 2 ∂t
. . . partial DE relating curvature and acceleration
E6820 SAPR (Ellis & Mandel) Acoustics January 29, 2009 5 / 38
6. Solution to the wave equation
If y (x, t) = f (x − ct) (any f (·))
then
∂y ∂y
= f (x − ct) = −cf (x − ct)
∂x ∂t
∂2y ∂2y
= f (x − ct) = c 2 f (x − ct)
∂x 2 ∂t 2
also works for y (x, t) = f (x + ct)
Hence, general solution:
∂2y ∂2y
c2 = 2
∂x 2 ∂t
⇒ y (x, t) = y + (x − ct) + y − (x + ct)
E6820 SAPR (Ellis & Mandel) Acoustics January 29, 2009 6 / 38
7. Solution to the wave equation (2)
y + (x − ct) and y − (x + ct) are traveling waves
shape stays constant but changes position
y
y+
time 0:
y-
x
∆x = c·T
y+
time T:
y-
x
c is traveling wave velocity (∆x/∆t)
y + moves right, y − moves left
resultant y (x) is sum of the two waves
E6820 SAPR (Ellis & Mandel) Acoustics January 29, 2009 7 / 38
8. Wave equation solutions (3)
What is the form of y + , y − ?
any doubly-differentiable function will satisfy wave equation
Actual waveshapes dictated by boundary conditions
e.g. y (x) at t = 0
plus constraints on y at particular xs
e.g. input motion y (0, t) = m(t)
rigid termination y (L, t) = 0
y
y(0,t) = m(t) x
y+(x,t) y(L,t) = 0
E6820 SAPR (Ellis & Mandel) Acoustics January 29, 2009 8 / 38
9. Terminations and reflections
System constraints:
initial y (x, 0) = 0 (flat rope)
input y (0, t) = m(t) (at agent’s hand) (→ y + )
termination y (L, t) = 0 (fixed end)
wave equation y (x, t) = y + (x − ct) + y − (x + ct)
At termination:
y (L, t) = 0 ⇒ y + (L − ct) = −y − (L + ct)
i.e. y + and y − are mirrored in time and amplitude around x = L
⇒ inverted reflection at termination
y+
[simulation
y(x,t)
= y+ + y– travel1.m]
y–
x=L
E6820 SAPR (Ellis & Mandel) Acoustics January 29, 2009 9 / 38
11. Acoustic tubes
Sound waves travel down acoustic tubes:
pressure
x
1-dimensional; very similar to strings
Common situation:
wind instrument bores
ear canal
vocal tract
E6820 SAPR (Ellis & Mandel) Acoustics January 29, 2009 11 / 38
12. Pressure and velocity
Consider air particle displacement ξ(x, t)
ξ(x)
x
∂ξ
Particle velocity v (x, t) = ∂t
hence volume velocity u(x, t) = Av (x, t)
1 ∂ξ
(Relative) air pressure p(x, t) = − κ ∂x
E6820 SAPR (Ellis & Mandel) Acoustics January 29, 2009 12 / 38
13. Wave equation for a tube
Consider elemental volume
Area dA
Force p·dA
x Volume dA·dx Force (p+∂p/∂x·dx)·dA
Mass ρ·dA·dx
Newton’s law: F = ma
∂p ∂v
− dx dA = ρ dA dx
∂x ∂t
∂p ∂v
⇒ = −ρ
∂x ∂t
∂ 2ξ ∂ 2ξ 1
∴ c2 2 = 2 c=√
∂x ∂t ρκ
E6820 SAPR (Ellis & Mandel) Acoustics January 29, 2009 13 / 38
14. Acoustic tube traveling waves
Traveling waves in particle displacement:
ξ(x, t) = ξ + (x − ct) + ξ − (x + ct)
∂ ρc
Call u + (α) = −cA ∂α ξ + (α), Z0 = A
Then volume velocity:
∂ξ
u(x, t) = A = u + (x − ct) − u − (x + ct)
∂t
And pressure:
1 ∂ξ
p(x, t) = − = Z0 u + (x − ct) + u − (x + ct)
κ ∂x
(Scaled) sum and difference of traveling waves
E6820 SAPR (Ellis & Mandel) Acoustics January 29, 2009 14 / 38
15. Acoustic traveling waves (2)
Different resultants for pressure and volume velocity:
Acoustic
tube
x
c
u+
c
u-
u(x,t) Volume
= u+ - u-
velocity
p(x,t)
Pressure
= Z0[u+ + u-]
E6820 SAPR (Ellis & Mandel) Acoustics January 29, 2009 15 / 38
16. Terminations in tubes
Equivalent of fixed point for tubes?
Solid wall forces
u(x,t) = 0 hence u+ = u-
u0(t)
(Volume velocity input)
Open end forces
p(x,t) = 0
hence u+ = -u-
Open end is like fixed point for rope:
reflects wave back inverted
Unlike fixed point, solid wall
reflects traveling wave without inversion
E6820 SAPR (Ellis & Mandel) Acoustics January 29, 2009 16 / 38
17. Standing waves
Consider (complex) sinusoidal input
u0 (t) = U0 e jωt
Pressure/volume must have form Ke j(ωt+φ)
Hence traveling waves:
u + (x − ct) = |A|e j(−kx+ωt+φA )
u − (x + ct) = |B|e j(kx+ωt+φB )
where k = ω/c (spatial frequency, rad/m)
(wavelength λ = c/f = 2πc/ω)
Pressure and volume velocity resultants show
stationary pattern: standing waves
even when |A| = |B|
⇒ [simulation sintwavemov.m]
E6820 SAPR (Ellis & Mandel) Acoustics January 29, 2009 17 / 38
18. Standing waves (2)
U0 ejωt
pressure = 0 (node)
kx = π vol.veloc. = max
x=λ/2 (antinode)
For lossless termination (|u + | = |u − |),
have true nodes and antinodes
Pressure and volume velocity are phase shifted
in space and in time
E6820 SAPR (Ellis & Mandel) Acoustics January 29, 2009 18 / 38
19. Transfer function
Consider tube excited by u0 (t) = U0 e jωt
sinusoidal traveling waves must satisfy termination ‘boundary
conditions’
satisfied by complex constants A and B in
u(x, t) = u + (x − ct) + u − (x + ct)
= Ae j(−kx+ωt) + Be j(kx+ωt)
= e jωt (Ae −jkx + Be jkx )
standing wave pattern will scale with input magnitude
point of excitation makes a big difference . . .
E6820 SAPR (Ellis & Mandel) Acoustics January 29, 2009 19 / 38
20. Transfer function (2)
For open-ended tube of length L excited at x = 0 by U0 e jωt
cos k(L − x) ω
u(x, t) = U0 e jωt k=
cos kL c
(matches at x = 0, maximum at x = L)
i.e. standing wave pattern
e.g. varying L for a given ω (and hence k):
U0 ejωt U0 UL
U0 ejωt U0 UL
magnitude of UL depends on L (and ω)
E6820 SAPR (Ellis & Mandel) Acoustics January 29, 2009 20 / 38
21. Transfer function (3)
Varying ω for a given L, i.e. at x = L
UL u(L, t) 1 1
= = =
U0 u(0, t) cos kL cos(ωL/c)
u(L)
u(0)
L
u(L)
u(0)
∞ at ωL/c = (2r+1)π/2, r = 0,1,2...
Output volume velocity always larger than input
Unbounded for L = (2r + 1) 2ω = (2r + 1) λ
πc
4
i.e. resonance (amplitude grows without bound)
E6820 SAPR (Ellis & Mandel) Acoustics January 29, 2009 21 / 38
22. Resonant modes
For lossless tube with L = m λ , m odd, λ wavelength
4
u(L)
u(0) is unbounded, meaning:
transfer function has pole on frequency axis
energy at that frequency sustains indefinitely
L = 3 · λ1/4
→ ω1 = 3ω0
L = λ0/4
compare to time domain . . .
e.g. 17.5 cm vocal tract, c = 350 m/s
⇒ ω0 = 2π 500 Hz (then 1500, 2500, . . . )
E6820 SAPR (Ellis & Mandel) Acoustics January 29, 2009 22 / 38
23. Scattering junctions
At abrupt change in area:
• pressure must be continuous
pk(x, t) = pk+1(x, t)
u+k u+k+1
• vol. veloc. must be continuous
u-k uk(x, t) = uk+1(x, t)
u-k+1
• traveling waves
u+k, u-k, u+k+1, u-k+1
Area Ak
Area Ak+1 will be different
− +
Solve e.g. for uk and uk+1 : (generalized term)
2r
1+r
u+k + u+k+1
Ak+1
1-r r-1 r=
Ak
1+r r+1
“Area ratio”
u-k + u-k+1
2
r+1
E6820 SAPR (Ellis & Mandel) Acoustics January 29, 2009 23 / 38
24. Concatenated tube model
Vocal tract acts as a waveguide
Lips x=L
Lips
uL(t)
Glottis
u0(t) x=0
Glottis
Discrete approximation as varying-diameter tube
Ak, Lk
Ak+1, Lk+1
x
E6820 SAPR (Ellis & Mandel) Acoustics January 29, 2009 24 / 38
25. Concatenated tube resonances
Concatenated tubes → scattering junctions → lattice filter
u+k +
e-jωτ1 +
e-jωτ2 +
u-k + e-jωτ1 + e-jωτ2 +
+ + +
e-jω2τ1 e-jω2τ2
+ + +
Can solve for transfer function – all-pole
1
5
0
-1 -0.5 0 0.5 1
Approximate vowel synthesis from resonances
[sound example: ah ee oo]
E6820 SAPR (Ellis & Mandel) Acoustics January 29, 2009 25 / 38
27. Oscillations & musical acoustics
Pitch (periodicity) is essence of music
why? why music?
Different kinds of oscillators
simple harmonic motion (tuning fork)
relaxation oscillator (voice)
string traveling wave (plucked/struck/bowed)
air column (nonlinear energy element)
E6820 SAPR (Ellis & Mandel) Acoustics January 29, 2009 27 / 38
28. Simple harmonic motion
Basic mechanical oscillation
x = −ω 2 x
¨ x = A cos(ωt + φ)
Spring + mass (+ damper)
F = kx
m
k
ζ ω2 =
m
x
e.g. tuning fork
Not great for music
fundamental (cos ωt) only
relatively low energy
E6820 SAPR (Ellis & Mandel) Acoustics January 29, 2009 28 / 38
29. Relaxation oscillator
Multi-state process
one state builds up potential (e.g. pressure)
switch to second (release) state
revert to first state, etc.
e.g. vocal folds:
p u
http://www.youtube.com/watch?v=ajbcJiYhFKY
Oscillation period depends on force (tension)
easy to change
hard to keep stable
⇒ less used in music
E6820 SAPR (Ellis & Mandel) Acoustics January 29, 2009 29 / 38
30. Ringing string
e.g. our original ‘rope’ example
tension S
mass/length ε
π2 S
ω2 = 2
L L ε
Many musical instruments
guitar (plucked)
piano (struck)
violin (bowed)
Control period (pitch):
change length (fretting)
change tension (tuning piano)
change mass (piano strings)
Influence of excitation . . . [pluck1a.m]
E6820 SAPR (Ellis & Mandel) Acoustics January 29, 2009 30 / 38
31. Wind tube
Resonant tube + energy input
nonlinear scattering junction
element (tonehole)
energy
acoustic
waveguide
πc
ω= (quarter wavelength)
2L
e.g. clarinet
lip pressure keeps reed closed
reflected pressure wave opens reed
reinforced pressure wave passes through
finger holds determine first reflection
⇒ effective waveguide length
E6820 SAPR (Ellis & Mandel) Acoustics January 29, 2009 31 / 38
33. Room acoustics
Sound in free air expands spherically:
radius r
Spherical wave equation:
∂ 2 p 2 ∂p 1 ∂2p
+ = 2 2
∂r 2 r ∂r c ∂t
P0 j(ωt−kr )
solved by p(r , t) = r e
Energy ∝ p 2 falls as r12
E6820 SAPR (Ellis & Mandel) Acoustics January 29, 2009 33 / 38
34. Effect of rooms (1): Images
Ideal reflections are like multiple sources:
virtual (image) sources
reflected
path
source listener
‘Early echoes’ in room impulse response:
direct path
early echos
hroom(t)
t
actual reflections may be hr (t), not δ(t)
E6820 SAPR (Ellis & Mandel) Acoustics January 29, 2009 34 / 38
35. Effect of rooms (2): Modes
Regularly-spaced echoes behave like acoustic tubes
Real rooms have lots of modes!
dense, sustained echoes in impulse response
complex pattern of peaks in frequency response
E6820 SAPR (Ellis & Mandel) Acoustics January 29, 2009 35 / 38
36. Reverberation
Exponential decay of reflections:
hroom(t) ~e-t/T
t
Frequency-dependent
greater absorption at high frequencies
⇒ faster decay
Size-dependent
larger rooms → longer delays → slower decay
Sabine’s equation:
0.049V
RT60 =
Sα¯
Time constant varies with size, absorption
E6820 SAPR (Ellis & Mandel) Acoustics January 29, 2009 36 / 38