To find a function f that corresponds to the vector field F(x, y, z) = x i + y j + z k, we need to recognize that this vector field is essentially a gradient field. We seek a scalar function f(x, y, z) whose gradient yields the vector field F.
The relationship we are looking for is given by:
F = ∇f
This means that the components of the vector field F correspond to the partial derivatives of the function f:
- ∂f/∂x = x
- ∂f/∂y = y
- ∂f/∂z = z
Next, we integrate each component to find f:
- Integrating ∂f/∂x = x gives:
- Integrating ∂f/∂y = y gives:
- Integrating ∂f/∂z = z gives:
f(x, y, z) = (1/2)x² + g(y, z)
f(x, y, z) = (1/2)x² + (1/2)y² + h(z)
f(x, y, z) = (1/2)x² + (1/2)y² + (1/2)z² + C
Consequently, we can deduce that the function:
f(x, y, z) = (1/2)(x² + y² + z²) + C
is suitable. Now, for the condition f(0, 0, 0) = 0, we evaluate:
f(0, 0, 0) = (1/2)(0² + 0² + 0²) + C = C
This implies that C = 0. Thus, the required function is:
f(x, y, z) = (1/2)(x² + y² + z²)
In conclusion, the function f such that F = ∇f and f(0, 0, 0) = 0 is:
f(x, y, z) = (1/2)(x² + y² + z²)