Chapter 2: Problem 1
Explain, in physical terms, why the method of separation of variables applied to the wave equations that we have considered always leads to a sinusoidal time function, though the spatial functions may take a variety of forms.
Short Answer
Expert verified
Answer: The method of separation of variables applied to the wave equation leads to sinusoidal time functions because the resulting time-dependent ODE is a second-order linear homogeneous ODE with constant coefficients. This always leads to complex conjugate roots and sinusoidal solutions when solved.
Step by step solution
01
Understanding the wave equation
The wave equation is a partial differential equation that describes the propagation of various types of waves, such as sound or light. It has the general form:
\[ \frac{\partial^2 u}{\partial t^2} = c^2 \nabla^2 u \]
where \(u(\mathbf{x}, t)\) is the displacement of the wave at position \(\mathbf{x}\) and time \(t\), \(c\) is the speed of the wave, and \(\nabla^2\) is the Laplacian operator.
02
Separation of Variables technique
Separation of variables is a technique used to solve partial differential equations by assuming that the solution can be represented as a product of functions, each dependent on only one of the variables. For the wave equation, this means we assume a solution of the form:
\[ u(\mathbf{x}, t) = T(t) \cdot X(\mathbf{x}) \]
where \(T(t)\) is the time-function and \(X(\mathbf{x})\) is the spatial function.
03
Applying Separation of Variables to the wave equation
By substituting the assumed solution form into the wave equation, we can separate the equation into two separate ordinary differential equations (ODEs):
\[ \frac{1}{c^2} \frac{\partial^2 T(t)}{\partial t^2} = \frac{1}{X(\mathbf{x})} \nabla^2 X(\mathbf{x}) \]
Since the left side depends only on \(t\) and the right side depends only on \(\mathbf{x}\), each side must be equal to a constant value, often denoted by \(-\lambda\):
\[ \frac{1}{c^2} \frac{\partial^2 T(t)}{\partial t^2} = -\lambda = \frac{1}{X(\mathbf{x})} \nabla^2 X(\mathbf{x}) \]
04
Solving the time-dependent ODE
The time-dependent ODE has the form:
\[ \frac{\partial^2 T(t)}{\partial t^2} = -c^2 \lambda T(t) \]
This is a second-order linear homogeneous ODE with constant coefficients. The characteristic equation is given by:
\[ r^2 + c^2 \lambda = 0 \]
Solving for \(r\), we obtain complex conjugate roots:
\[ r = \pm \mathrm{i}c \sqrt{\lambda} \]
The general solution to the time-dependent ODE is given by:
\[ T(t) = A \cdot \mathrm{e}^{\mathrm{i} c \sqrt{\lambda} t} + B \cdot \mathrm{e}^{-\mathrm{i} c \sqrt{\lambda} t} \]
05
Converting the solution to sinusoidal functions
Using Euler's formula, we can convert the exponential function to sinusoidal functions:
\[ \mathrm{e}^{\pm \mathrm{i} c \sqrt{\lambda} t} = \cos(c \sqrt{\lambda} t) \pm \mathrm{i} \sin(c \sqrt{\lambda} t) \]
Thus, the solution for the time-dependent ODE becomes:
\[ T(t) = A \cdot \cos(c \sqrt{\lambda} t) + B \cdot \sin(c \sqrt{\lambda} t) \]
which is a sinusoidal function of time.
In conclusion, the method of separation of variables applied to the wave equation always leads to a sinusoidal time function because the time-dependent ODE has the form of a second-order linear homogeneous ODE with constant coefficients, which always results in complex conjugate roots and sinusoidal solutions.
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Key Concepts
These are the key concepts you need to understand to accurately answer the question.
Wave Propagation
Understanding wave propagation is crucial in grasping how energy travels through different mediums. In physics, it refers to the movement of waves through a material or space. Waves can be of many types, such as sound waves, light waves, or water waves, and each of these follows specific rules in their propagation.
When we talk about the wave equation in the context of wave propagation, we describe how waves move using a mathematical model. This equation, which is a second-order partial differential equation, helps us predict the position and shape of a wave at any given time by accounting for factors like wave speed and initial conditions. In essence, wave propagation brings the abstract mathematical wave equation to life, enabling us to foresee how waves behave in real-world scenarios.
When we talk about the wave equation in the context of wave propagation, we describe how waves move using a mathematical model. This equation, which is a second-order partial differential equation, helps us predict the position and shape of a wave at any given time by accounting for factors like wave speed and initial conditions. In essence, wave propagation brings the abstract mathematical wave equation to life, enabling us to foresee how waves behave in real-world scenarios.
Partial Differential Equations
Partial differential equations (PDEs) are a type of equation fundamental to the field of mathematics and science because they describe a variety of phenomena from flow dynamics to quantum mechanics and even wave propagation. A PDE involves functions of several variables and their partial derivatives.
Unlike ordinary differential equations (ODEs), which deal with functions of a single variable, PDEs can describe things that vary in more than one direction—for example, how the temperature changes over time and space. They're powerful tools that allow us to model complex systems, making them indispensable in fields like engineering, physics, and finance. The wave equation is a classic example of a PDE representing the movement of disturbances, or waves, through a medium.
Unlike ordinary differential equations (ODEs), which deal with functions of a single variable, PDEs can describe things that vary in more than one direction—for example, how the temperature changes over time and space. They're powerful tools that allow us to model complex systems, making them indispensable in fields like engineering, physics, and finance. The wave equation is a classic example of a PDE representing the movement of disturbances, or waves, through a medium.
Sinusoidal Functions
Sinusoidal functions are the bread and butter when it comes to describing oscillations and waves. These functions, specifically sine and cosine, are periodic and can model a vast array of natural phenomena, such as the simple back and forth motion of a pendulum or the more complex electromagnetic waves.
The unique property of sinusoidal functions—as seen when solving the wave equation using separation of variables—is their ability to form a basis for any repetitive motion. This is why, no matter the initial conditions, the solution to the time part of a wave equation often results in a combination of sine and cosine functions, representing the wave's continuous and oscillatory nature. These solutions express the wave's amplitude and frequency, essential features of the wave's identity in physical terms.
The unique property of sinusoidal functions—as seen when solving the wave equation using separation of variables—is their ability to form a basis for any repetitive motion. This is why, no matter the initial conditions, the solution to the time part of a wave equation often results in a combination of sine and cosine functions, representing the wave's continuous and oscillatory nature. These solutions express the wave's amplitude and frequency, essential features of the wave's identity in physical terms.
Laplacian Operator
In mathematics, the Laplacian operator plays a significant role in various areas, especially in the study of wave phenomena. It's a second-order differential operator that takes a function and produces another function, expressing the rate at which the original function's value changes around a point.
The Laplacian operator is typically denoted by abla^2 and is used in three-dimensional space to calculate the divergence of the gradient of a field. For the wave equation, the Laplacian operator gives us a way to account for the spatial variation of the wave at every point in space. When we analyze the spread of waves, whether they're ripples in a pond or seismic waves in the Earth's crust, it's the Laplacian operator that quantifies how the wave's shape changes over space, complementing how the sinusoidal functions describe the change over time.
The Laplacian operator is typically denoted by abla^2 and is used in three-dimensional space to calculate the divergence of the gradient of a field. For the wave equation, the Laplacian operator gives us a way to account for the spatial variation of the wave at every point in space. When we analyze the spread of waves, whether they're ripples in a pond or seismic waves in the Earth's crust, it's the Laplacian operator that quantifies how the wave's shape changes over space, complementing how the sinusoidal functions describe the change over time.