Chapter 6: Problem 11
Calculate the Laplacian
Short Answer
Expert verified
The Laplacian of is .
Step by step solution
01
Write down the Laplacian operator in Cartesian coordinates
The Laplacian in Cartesian coordinates is given by We will only consider the variables present in the scalar field.
02
Calculate the first partial derivatives
Compute the first partial derivatives of with respect to and .
03
Compute the second partial derivatives
Calculate the second partial derivatives of with respect to and . For : For :
04
Sum the second partial derivatives
Add the second partial derivatives to find the Laplacian of the scalar field.
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Key Concepts
These are the key concepts you need to understand to accurately answer the question.
Partial Derivatives
Partial derivatives are like normal derivatives, but they focus on one variable while keeping others constant. This is essential when working with functions of multiple variables.
For example, if you have a function , taking the partial derivative with respect to means you treat as a constant.
For example, for the function , the partial derivatives are:
\frac{\text{\textpartdiff} f}{\text{\textpartdiff} x} = \frac{x}{\textsqrt{x^2 - y^2}} and \frac{\text{\textpartdiff} f}{\text{\textpartdiff} y} = \frac{-y}{\textsqrt{x^2 - y^2}}. These results help us understand how behaves with different variable changes.
For example, if you have a function
- The notation for the partial derivative of
with respect to is . - Similarly, the partial derivative with respect to
is .
For example, for the function
\frac{\text{\textpartdiff} f}{\text{\textpartdiff} x} = \frac{x}{\textsqrt{x^2 - y^2}} and \frac{\text{\textpartdiff} f}{\text{\textpartdiff} y} = \frac{-y}{\textsqrt{x^2 - y^2}}. These results help us understand how
Scalar Fields
A scalar field assigns a single value (a scalar) to every point in a space. In simpler terms, it's a mathematical function where you only get one output value no matter how many input variables you provide.
Common examples include temperature distribution in a room or elevation on a map.
In our exercise, we are dealing with the scalar field .
Each point in this field gets a scalar value given by the function.
Understanding scalar fields is vital because they are used extensively in physics, engineering, and other sciences to describe various phenomena. They make it easier to represent quantities that vary over space, like gravitational or electric fields.
Common examples include temperature distribution in a room or elevation on a map.
In our exercise, we are dealing with the scalar field
Each point
Understanding scalar fields is vital because they are used extensively in physics, engineering, and other sciences to describe various phenomena. They make it easier to represent quantities that vary over space, like gravitational or electric fields.
Cartesian Coordinates
Cartesian coordinates are used to specify any point in a 2D plane or 3D space using numerical values. These points are defined by ordered pairs (x, y) in 2D or triplets (x, y, z) in 3D.
In our exercise, we are working with a 2D Cartesian coordinate system, specifically on the function . Understanding this system makes it easier to compute partial derivatives and ultimately find the Laplacian.
- The
-axis is typically the horizontal axis. - The
-axis is the vertical axis in 2D, and in 3D, it's the depth. - The
-axis represents height in 3D space.
In our exercise, we are working with a 2D Cartesian coordinate system, specifically on the function
Laplacian Operator
The Laplacian operator, denoted as , is essential in mathematics and physics for finding how a scalar field changes in all spatial directions.
It’s especially useful in solving equations involving physical phenomena like heat flow, wave propagation, or electrostatics.
In Cartesian coordinates for a function , the Laplacian operator is:
\text{abla}^2 = \frac{\text{\textpartdiff}^2}{\text{\textpartdiff} x^2} + \frac{\text{\textpartdiff}^2}{\text{\textpartdiff} y^2} + \frac{\text{\textpartdiff}^2}{\text{\textpartdiff} z^2} Our exercise uses a 2D function, so we adapt the formula:
\text{abla}^2 f = \frac{\text{\textpartdiff}^2 f}{\text{\textpartdiff} x^2} + \frac{\text{\textpartdiff}^2 f}{\text{\textpartdiff} y^2} By computing second partial derivatives and summing them, we obtain the Laplacian. This helps us understand how the field behaves spatially. For , the Laplacian simplifies to , showing us the rate of change in the field.
It’s especially useful in solving equations involving physical phenomena like heat flow, wave propagation, or electrostatics.
In Cartesian coordinates for a function
\text{abla}^2 = \frac{\text{\textpartdiff}^2}{\text{\textpartdiff} x^2} + \frac{\text{\textpartdiff}^2}{\text{\textpartdiff} y^2} + \frac{\text{\textpartdiff}^2}{\text{\textpartdiff} z^2} Our exercise uses a 2D function, so we adapt the formula:
\text{abla}^2 f = \frac{\text{\textpartdiff}^2 f}{\text{\textpartdiff} x^2} + \frac{\text{\textpartdiff}^2 f}{\text{\textpartdiff} y^2} By computing second partial derivatives and summing them, we obtain the Laplacian. This helps us understand how the field behaves spatially. For