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CCSMath120: Calculus on Manifolds
Simon Rubinstein–Salzedo
Spring 2004
0.1 Introduction
These notes are based on a course on calculus on manifolds I took from Professor
MartinScharlemannintheSpringof2004. Thecoursewasdesignedforfirst-yearCCS
math majors. The primary textbook was Michael Spivak’s Calculus on Manifolds. A
recommendedsupplementary text was Maxwell Rosenlicht’s Introduction to Analysis.
1
Chapter 1
Basic Analysis and Topology
Wedefine Rn ={(x1,...,xn) | xi ∈ R}. For example, (π,e,√2) ∈ R3.
Rn is a vector space. This means that we have two operations + : Rn×RRn → Rn
and · : R × Rn → Rn satisfying the following properties:
1. x+y =y+x.
2. x+(y+z)=(x+y)+z.
3. There exists 0 ∈ Rn so that for all x, 0 + x = x.
4. For all x ∈ Rn, there exists −x ∈ Rn so that x + (−x) = 0.
5. α(x+y) = αx+αy for all α ∈ R.
6. (α +β)x = αx+βx.
7. α(βx) = (αβ)x.
8. 1x = x.
If x = (x1,...,xn) and y = (y1,...,yn), we define x +y = (x1 +y1,...,xn +yn).
We assume the following properties of R: For α,β ∈ R, |α| = |β| iff α2 = β2, and
|α| ≥ |β| iff α2 ≥ β2.
2
There is a norm on Rn: | · | : Rn → R with useful properties. It is defined by
1 n p 1 2 n 2
|(x ,...,x )| = (x ) +···+(x ) .
Proposition. |·| satisfies, for all α ∈ R and x,y ∈ Rn, the following properties:
1. |x| ≥ 0 and (|x| = 0 iff x = 0).
P i i
2. | x y | ≤ |x| |y|, with equality iff x and y are linearly dependent.
3. |x + y| ≤ |x| + |y|.
4. |αx| = |α| |x|.
Proof.
2 P i 2 i P i 2
1. |x| = 0 iff |x| = 0 iff (x ) = 0. If all x = 0, then (x ) = 0. If some
i i 2 P j2 i 2 i 2
x 6= 0, then (x ) > 0, so j6=i(x ) + (x ) ≥ (x ) > 0.
P i i
2. If x and y are linearly dependent, then | x y | = |x| |y|. [Digression: Suppose
v1,...,vm are vectors in a vector space. They are said to be linearly dependent
iff there exists α ,...,α , not all zero, so that Pα v = 0. Hence αx+βy = 0
1 m i i
for some α,β not both zero. Suppose for example that α 6= 0. Then x+ βy = 0.
α
Thustheyare linearly independent iff there exists a λ so that x = λy or y = λx.
To see this, suppose α 6= 0. Take λ = −β. If α = 0, then βy = 0, so y = 0.]
α
Suppose without loss of generality that y = λx, i.e. yi = λxi for all i. Then
X 2 X 2
xiyi = xiyi
!
n 2
= Xxiλxi
i=1
2 X i2 2
=λ (x )
2 X i2 X i2
=λ (x ) (x )
X i 2X i 2
= (x ) (λx )
2 2
=|x| |y| ,
3
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