Multivariate Calculus - Bruce E. Shapiro
Multivariate Calculus - Bruce E. Shapiro Multivariate Calculus - Bruce E. Shapiro
176 LECTURE 22. LINE INTEGRALS and breaking the path itself up into points Let us define the differential vector and the differential time element Then in the limit as dt i → 0, we have r(t 1 ), r(t 2 ), ..., r(t n ) (22.2) dr i = r(t i+1 ) − t i (22.3) dt i = t i+1 − t i (22.4) lim dr i = r ′ (t i )dt = v(t i )dt (22.5) dt i →0 Now suppose that the curve is embedded in some vector field F(r). Then at any Figure 22.2: Partitioning of an oriented curve into small segments that approximate the tangent vectors. point r along the curve we can calculate the dot product r(t) · F(r(t)) This product is a measure of how much alignment there is between the motion along the curve and the direction of the vector field. The dot product is maximized when the angle between the two vectors is zero, and we are moving “with the flow” of the field. If we are moving completely in the opposite direction, the dot product is negative, and if we move in a direction perpendicularly to the vector field than the dot product is zero, as there is no motion with with or against the flow. We define the line integral of f along C as the Riemann Sum ∫ n∑ F · dr = lim dr i · F(r i ) (22.6) dr i →0 or equivalently ∫ C C F · dr = ∫ b a i=1 [ dr dt · F(r(t)) ] dt (22.7) Revised December 6, 2006. Math 250, Fall 2006
LECTURE 22. LINE INTEGRALS 177 Example 22.1 Find the line integral of the vector field F(r(t)) = (2x, 3y, 0) over the path ABC as illustrated in figure 22.3 Figure 22.3: The oriented curve ABC referenced in example 22.1 Solution. We can parameterize the curve as { (t, 2, 0) 0 ≤ t ≤ 10 r(t) = (10, t − 8, 0) 10 ≤ t ≤ 18 (22.8) Based on this parameterization, we can write equations for the individual coordinates x(t) and y(t) { t 0 ≤ t ≤ 10 x(t) = (22.9) 10 10 ≤ t ≤ 18 { 2 0 ≤ t ≤ 10 y(t) = (22.10) t − 8 10 ≤ t ≤ 18 and for the velocity Therefore r ′ (t) = { (1, 0, 0) 0 ≤ t ≤ 10 (0, 1, 0) 10 ≤ t ≤ 18 { F · r ′ (2x, 3y, 0) · (1, 0, 0) 0 ≤ t ≤ 10 = (2x, 3y, 0) · (0, 1, 0) 10 ≤ t ≤ 18 { 2x 0 ≤ t ≤ 10 = 3y 10 ≤ t ≤ 18 { 2t 0 ≤ t ≤ 10 = 3(t − 8) 10 ≤ t ≤ 18 (22.11) (22.12) (22.13) (22.14) Math 250, Fall 2006 Revised December 6, 2006.
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176 LECTURE 22. LINE INTEGRALS<br />
and breaking the path itself up into points<br />
Let us define the differential vector<br />
and the differential time element<br />
Then in the limit as dt i → 0, we have<br />
r(t 1 ), r(t 2 ), ..., r(t n ) (22.2)<br />
dr i = r(t i+1 ) − t i (22.3)<br />
dt i = t i+1 − t i (22.4)<br />
lim dr i = r ′ (t i )dt = v(t i )dt (22.5)<br />
dt i →0<br />
Now suppose that the curve is embedded in some vector field F(r). Then at any<br />
Figure 22.2: Partitioning of an oriented curve into small segments that approximate<br />
the tangent vectors.<br />
point r along the curve we can calculate the dot product<br />
r(t) · F(r(t))<br />
This product is a measure of how much alignment there is between the motion along<br />
the curve and the direction of the vector field. The dot product is maximized when<br />
the angle between the two vectors is zero, and we are moving “with the flow” of<br />
the field. If we are moving completely in the opposite direction, the dot product is<br />
negative, and if we move in a direction perpendicularly to the vector field than the<br />
dot product is zero, as there is no motion with with or against the flow. We define<br />
the line integral of f along C as the Riemann Sum<br />
∫<br />
n∑<br />
F · dr = lim dr i · F(r i ) (22.6)<br />
dr i →0<br />
or equivalently<br />
∫<br />
C<br />
C<br />
F · dr =<br />
∫ b<br />
a<br />
i=1<br />
[ dr<br />
dt · F(r(t)) ]<br />
dt (22.7)<br />
Revised December 6, 2006. Math 250, Fall 2006