Consider F and C below. F(x, y) = 6xy? i + 6x²y j (re), e + cos{ nt), Gnt)), osts1 C: r(t) = (t + sin (a) Find a function f such that F = Vf. f(x, у) %3D (b) Use part (a) to evaluate Vf• dr along the given curve C.

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**Vector Fields and Line Integrals**

### Consider \( \mathbf{F} \) and \( C \) below.

\[ \mathbf{F}(x, y) = 6xy^2 \ \mathbf{i} + 6x^2y \ \mathbf{j} \]

\[ C : \mathbf{r}(t) = \langle t + \sin\left(\frac{1}{2}\pi t\right), t + \cos\left(\frac{1}{2}\pi t\right) \rangle, \quad 0 \leq t \leq 1 \]

### Exercises:

**(a) Find a function \( f \) such that \( \mathbf{F} = \nabla f \).**

\[ f(x, y) = \ \_\_\_\_\_\_\_\_\_\_ \]

**(b) Use part (a) to evaluate \( \int_C \nabla f \cdot d\mathbf{r} \) along the given curve \( C \).**

\[ \boxed{\ \_\_\_\_\_\_\_\_\_\_ \} \]

### Explanation of the Diagram:

- **Vector Field \( \mathbf{F} \)**: This represents a vector field with \( x \) and \( y \) coordinates, and the vector components changing based on a function of both \( x \) and \( y \).
- **Curve \( C \)**: This curve is parameterized by \( t \) from 0 to 1 and includes trigonometric functions of \( t \) to describe its path in the \( xy \)-plane.

### Goals:

1. **To find the potential function \( f \)**:
   - Identify a scalar function \( f(x, y) \) whose gradient \( \nabla f \) matches the given vector field \( \mathbf{F}(x, y) \).

2. **To evaluate the line integral**:
   - Use the found potential function \( f \) to calculate the line integral over the path \( C \).

This exercise is part of a study in vector fields, potential functions, and line integrals, which are key concepts in multivariable calculus.
Transcribed Image Text:**Vector Fields and Line Integrals** ### Consider \( \mathbf{F} \) and \( C \) below. \[ \mathbf{F}(x, y) = 6xy^2 \ \mathbf{i} + 6x^2y \ \mathbf{j} \] \[ C : \mathbf{r}(t) = \langle t + \sin\left(\frac{1}{2}\pi t\right), t + \cos\left(\frac{1}{2}\pi t\right) \rangle, \quad 0 \leq t \leq 1 \] ### Exercises: **(a) Find a function \( f \) such that \( \mathbf{F} = \nabla f \).** \[ f(x, y) = \ \_\_\_\_\_\_\_\_\_\_ \] **(b) Use part (a) to evaluate \( \int_C \nabla f \cdot d\mathbf{r} \) along the given curve \( C \).** \[ \boxed{\ \_\_\_\_\_\_\_\_\_\_ \} \] ### Explanation of the Diagram: - **Vector Field \( \mathbf{F} \)**: This represents a vector field with \( x \) and \( y \) coordinates, and the vector components changing based on a function of both \( x \) and \( y \). - **Curve \( C \)**: This curve is parameterized by \( t \) from 0 to 1 and includes trigonometric functions of \( t \) to describe its path in the \( xy \)-plane. ### Goals: 1. **To find the potential function \( f \)**: - Identify a scalar function \( f(x, y) \) whose gradient \( \nabla f \) matches the given vector field \( \mathbf{F}(x, y) \). 2. **To evaluate the line integral**: - Use the found potential function \( f \) to calculate the line integral over the path \( C \). This exercise is part of a study in vector fields, potential functions, and line integrals, which are key concepts in multivariable calculus.
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