13.2 What are the definitions of continuity and differentiability ?
Are there any functions that are not continuous but differentiable ?
13.4 (Numerical differentiation/integration)
What precaution must one take when integrating a function numerically ? What kind of functions
cause numerical integration to fail ?
13.5
For a function to be expanded by the Taylor series, its Lagrange
remainder must be convergent to 0. The function, exp (−1/x2),
cannot be expanded by the Taylor series about x = 0 because its Lagrange
remainder does not converge to 0.
It is possible to get around the formula for the Taylor series by
taking advantage of well-known series expansion such as the geometric
series and binomial expansion etc ....
Some of series worth remembering are:
1
1 + x
= 1 − x + x2 − x3 + x4 − …
sin x = x −
x3
3!
+
x5
5!
−
x7
7!
+ …
cos x = 1 −
x2
2!
+
x4
4!
−
x6
6!
+…
ex = 1 + x +
x2
2!
+
x3
3!
+
x4
4!
+ …
ln (1+ x) = x −
x2
2
+
x3
3
−
x4
4
+ …
(1+x)n = 1 + nx +
n (n−1) x2
2
+
n(n−1)(n−2) x3
3!
+ …
The Taylor formulas for single variable functions and
multi-variable functions can be expressed in a unified format by using
D = (x−a)
d
dx
singlevariable
or as
D = (x − a)
∂
∂x
+(y − b)
∂
∂y
twovariables
as
f(x) = f|x=a + Df|x=a +
D2f
2!
|x=a +
D3f
3!
|x=a +…
f(x, y) = f|(x, y) = (a, b) + Df|(x, y)=(a, b) +
D2f
2!
|(x, y)=(a, b) +
D3f
3!
|(x, y)=(a, b) +…
3.6
Try to understand the implicit function theorem for two variable
functions (Jacobian) from the implicit function theorem for single
variable functions.
The Jacobian
J(u, v)/J(x, y) is a scaling factor from the
(x, y) coordinate system to the (u, v) coordinate system.
13.7
What is the advantage of the Lagrange multiplier method ?
13.8 How is the Leibniz rule used in physics ? When investigating
the rate of time change, what's wrong with taking time derivatives alone ?
14.4
The vector triple product identity,
a ×(b ×c) = (a, c) b −(a, b) c
implies that the right hand side contains no cross
products. Note that the triple product is always expressed as the
difference between the vectors in the parenthesis (and the middle
one comes first).
14.3
Can you compute the area of the parallelogram spanned by two independent vectors and
the volume of the parallelepiped spanned by three independent vectors ?
15.4ax + by + cz = d
represents a plane and the vector
(a, b, c)
is perpendicular to this plane. In general, a vector perpendicular
to a given surface expressed by
f(x, y, z)=0
can be obtained by
taking the gradient of f.
15.5Ru = ∂R/∂u and
Rv = ∂R/∂v
are base vectors on the curved surface
and form a tangent plane. If the equation of a plane is expressed
as
z = f(x, y),
it's faster to use
dS =
√
1 + fx2 + fy2
as
an area element.
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