Problem 24
Question
In Problems, show that the given integral is independent of the path. Evaluate. $$ \int_{(-2,3,1)}^{(0,0,0)} 2 x z d x+2 y z d y+\left(x^{2}+y^{2}\right) d z $$
Step-by-Step Solution
Verified Answer
The integral evaluates to \(-13\).
1Step 1: Understand vector field notation
The line integral given is \( \int_{(-2,3,1)}^{(0,0,0)} \, 2 x z \, dx + 2 y z \, dy + (x^2 + y^2) \, dz \). This means the vector field \( \mathbf{F} \) is \( \mathbf{F} = (2xz, 2yz, x^2 + y^2) \).
2Step 2: Check if field is conservative
A vector field is conservative if it is the gradient of a scalar potential function. To check, calculate \( abla \times \mathbf{F} \). If \( abla \times \mathbf{F} = \mathbf{0} \), the field is conservative.
3Step 3: Calculate curl of the vector field
Compute \( abla \times \mathbf{F} = \left( \frac{\partial}{\partial y}(x^2 + y^2) - \frac{\partial}{\partial z}(2yz), \frac{\partial}{\partial z}(2xz) - \frac{\partial}{\partial x}(x^2 + y^2), \frac{\partial}{\partial x}(2yz) - \frac{\partial}{\partial y}(2xz) \right) \).
4Step 4: Calculate individual partial derivatives
Perform the calculations: \( \frac{\partial}{\partial y}(x^2 + y^2) = 2y \), \( \frac{\partial}{\partial z}(2yz) = 2y \), \( \frac{\partial}{\partial z}(2xz) = 2x \), \( \frac{\partial}{\partial x}(x^2 + y^2) = 2x \), \( \frac{\partial}{\partial x}(2yz) = 0 \), and \( \frac{\partial}{\partial y}(2xz) = 0 \).
5Step 5: Verify the curl is zero
Each component of the curl is zero: \( 2y - 2y = 0 \), \( 2x - 2x = 0 \), and \( 0 - 0 = 0 \). Thus, \( abla \times \mathbf{F} = \mathbf{0} \), confirming \( \mathbf{F} \) is conservative.
6Step 6: Determine potential function if field is conservative
Since \( \mathbf{F} = abla f \), find \( f(x,y,z) \) such that \( abla f = (2xz, 2yz, x^2 + y^2) \). Integrate each component to find a scalar function \( f \).
7Step 7: Integrate to find potential function
Integrate: \( \frac{\partial f}{\partial x} = 2xz \) gives \( f(x,y,z) = x^2 z + g(y,z) \). \( \frac{\partial f}{\partial y} = 2yz \) gives \( f(x,y,z) = y^2 z + h(x,z) \). \( \frac{\partial f}{\partial z} = x^2 + y^2 \) gives \( f(x,y,z) = x^2 z + y^2 z + C \).
8Step 8: Evaluate the potential difference
Since \( f(x,y,z) = x^2 z + y^2 z \), evaluate \( f(0,0,0) - f(-2,3,1) \). This is \( 0 - ( (-2)^2 \cdot 1 + 3^2 \cdot 1 ) = 0 - (4 + 9) = -13 \).
Key Concepts
Line IntegralsConservative Vector FieldsCurl of a Vector FieldPotential Function
Line Integrals
Line integrals are a crucial concept in vector calculus. They allow us to integrate a function along a curve or path in the space. Essentially, this involves summing up a function's values across small segments that make up the path.
Line integrals are used extensively in physics and engineering, especially when dealing with fields like electromagnetism and fluid dynamics. For a vector field \( \mathbf{F} = ( M, N, P ) \), the line integral from a point \( A \) to a point \( B \) along a path \( C \) is given by:\[ \int_C ( M\,dx + N\,dy + P\,dz ) \].
This formula involves breaking down the path into tiny parts, evaluating the field at these parts, and then adding all these tiny contributions together to get the total integral value.
Line integrals are used extensively in physics and engineering, especially when dealing with fields like electromagnetism and fluid dynamics. For a vector field \( \mathbf{F} = ( M, N, P ) \), the line integral from a point \( A \) to a point \( B \) along a path \( C \) is given by:\[ \int_C ( M\,dx + N\,dy + P\,dz ) \].
This formula involves breaking down the path into tiny parts, evaluating the field at these parts, and then adding all these tiny contributions together to get the total integral value.
Conservative Vector Fields
Conservative vector fields are those where the line integral between two points depends only on those points, not on the path taken. This characteristic means that the integral of a conservative field over a closed loop is zero. A conservative field is always the gradient of some scalar function known as the potential function.
Key characteristics of conservative vector fields include:
Key characteristics of conservative vector fields include:
- The field can be expressed as the gradient of a scalar potential function, \( \mathbf{F} = abla f \).
- The curl of the field must be zero (\( abla \times \mathbf{F} = \mathbf{0} \)).
- There is no energy loss or gain when moving between two points in the field, similar to conservative forces like gravity.
Curl of a Vector Field
The curl of a vector field provides a measure of the field's rotational tendency at a point, visualized as the swirling motion around a point. The vector field \( \mathbf{F} \) has a curl defined by the vector \( abla \times \mathbf{F} \). This is calculated by evaluating the cross product of the del operator, \( abla \), and the vector field:
\[ abla \times \mathbf{F} = \left( \frac{\partial P}{\partial y} - \frac{\partial N}{\partial z}, \frac{\partial M}{\partial z} - \frac{\partial P}{\partial x}, \frac{\partial N}{\partial x} - \frac{\partial M}{\partial y} \right) \].
For a conservative field, this curl is zero. This characteristic allows us to deduce the existence of a potential function whose gradient will produce the original vector field. Verifying the curl is particularly useful in exercises that require proving the independence of the path, ensuring the field is conservative.
\[ abla \times \mathbf{F} = \left( \frac{\partial P}{\partial y} - \frac{\partial N}{\partial z}, \frac{\partial M}{\partial z} - \frac{\partial P}{\partial x}, \frac{\partial N}{\partial x} - \frac{\partial M}{\partial y} \right) \].
For a conservative field, this curl is zero. This characteristic allows us to deduce the existence of a potential function whose gradient will produce the original vector field. Verifying the curl is particularly useful in exercises that require proving the independence of the path, ensuring the field is conservative.
Potential Function
A potential function is a scalar function \( f(x, y, z) \) such that its gradient \( abla f \) equals a given vector field \( \mathbf{F} \). This function is crucial for conservative vector fields as it offers a simpler representation of the field.
Steps to find the potential function involve:
Steps to find the potential function involve:
- Identifying the components of the vector field \( \mathbf{F} = ( M, N, P ) \).
- Integrating each component: For example, \( \frac{\partial f}{\partial x} = M \) implies integrating with respect to \( x \).
- Ensuring that the resultant function satisfies the partial derivatives for all components.
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