00:01
Consider the following vector field f.
00:04
In our first question, question a, we want to show that f is conservative.
00:09
So a function, a vector field f is conservative if its curl is equal to 0.
00:19
So first let's define the curl.
00:21
The curl is defined as the partial derivative of fz with respect to y minus the partial derivative of fy with respect to z in the i component plus the partial derivative of fx with respect to z minus the partial derivative of fz with respect to x in the j component plus the partial derivative of fy with respect to x minus the partial derivative of fz with respect to y in the k component.
01:10
So let's calculate each of these six partial derivatives.
01:21
Starting with this first bracket, let's look at fz and differentiate with respect to y assuming that the other variables are constant and we obtain minus the sine of x squared minus y minus z.
01:43
Now let's look at fy and differentiate partially with respect to z and we obtain plus sine x squared minus y minus z which is equal to 0.
01:57
So we've just shown that this first bracket is in fact equal to 0.
02:06
Next let's calculate the y component of our curl.
02:14
Let's look at fx and differentiate partially with respect to z and we obtain 2x times the sine of x squared minus y minus z.
02:27
Next let's look at fy and differentiate with respect to x and we obtain 2x times the sine of x squared minus y minus z which will also vanish.
02:47
Now let's evaluate our z component, this bracket.
02:54
Starting with fy, the derivative of fy with respect to z will give us minus the sine of x squared minus y minus z minus the derivative of the z component with respect to y so minus, or rather plus now, sine x squared minus y minus z which will also vanish.
03:28
So we've just shown that the curl of f is in fact equal to 0 implying that f is conservative.
03:45
Now if f is conservative, this means that f can write as the gradient of some potential function, say small caps f.
03:57
And now the goal is to find the functional form of this potential function.
04:05
And we do so by developing this equation.
04:09
We have that the x component of our potential function will be equal to the x component of our vector field which is 2x times the sine of x squared minus y minus z.
04:31
We can draw a similar equation by looking at the y component.
04:34
So we have that fy will be equal to the sine of x squared minus y minus z plus 1.
04:44
And we have that fz will be equal to the sine of x squared minus y minus z plus 1.
05:05
And now we can integrate each of these expressions to solve for our scalar function.
05:16
So integrating this line to solve for f, we obtain x cubed minus, or rather plus, the cos of x squared minus y minus z...