Practice Problems in Vector Calculus and Differential geometry, Exams of Mathematical Methods for Numerical Analysis and Optimization

A collection of practice problems in vector calculus and differential geometry. The problems range from easy to harder, covering topics such as unit sphere, local invertibility, partial derivatives, tangent planes, parabolic coordinates, and the laplacian. Students are encouraged to find functions and derivatives as solutions.

Typology: Exams

Pre 2010

Uploaded on 09/17/2009

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Practice Problems
Easy problems:
1. The unit sphere in R3is the set S2of all points (x, y, z) such that
x2+y2+z2= 1.
For what points (x0,y0, z0) is it possible to find a C1function z(x, y) defined near
(x0, y0) such that z(x0, y0) = z0and
x2+y2+z(x, y)2= 1?
2. Let f(x, y) = (excos(y), exsin(y)). Show that fis locally invertible everywhere,
but not invertible.
3. Find the equation of the plane tangent to the surface x3+2xy27z3+ 3y+ 1 = 0
at the point (1,1,1).
Problems of average difficulty:
4. Prove that if F:RnRmis differentiable at x0, then the partial derivative
∂fi
∂xj
(x0)
is equal to the (i, j) entry of DF (x0). (where fi, as usual, denotes the i-th output
of the function F).
5. Problems 6 and 7 in Section 11.3 of Wade.
6. Let Vbe an open ball in Rmand suppose that F:VRnis a continuously
differentiable function such that DF (x) = A, where Ais a fixed n×mmatrix, for
all xV. Show that there exists cRnsuch that
F(x) = Ax +c
for all xV(Hint: there is no nice MVT for functions RmRn).
Harder problems:
7. We define the parabolic coordinate system in R2via the formulas
y(u, v) = uv
x(u, v)=1/2(v2u2)
(1)
(a) Show that the mapping defined by (1) is locally invertible for all (u,v )6= (0,0)
but not globally invertible.
(b) Show that the mapping (1) is invertible if we restrict its domain to v > 0.
(c) Let the function f:R2R2be defined by the formula (in parabolic coordi-
nates)
f(u, v) = vu2.
1
pf2

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Practice Problems

Easy problems:

  1. The unit sphere in R^3 is the set S^2 of all points (x, y, z) such that

x^2 + y^2 + z^2 = 1.

For what points (x 0 , y 0 , z 0 ) is it possible to find a C^1 function z(x, y) defined near (x 0 , y 0 ) such that z(x 0 , y 0 ) = z 0 and

x^2 + y^2 + z(x, y)^2 = 1?

  1. Let f (x, y) = (ex^ cos(y), ex^ sin(y)). Show that f is locally invertible everywhere, but not invertible.
  2. Find the equation of the plane tangent to the surface x^3 +2xy^2 − 7 z^3 +3y +1 = 0 at the point (1, 1 , 1).

Problems of average difficulty:

  1. Prove that if F : Rn^ → Rm^ is differentiable at x 0 , then the partial derivative

∂fi ∂xj

(x 0 )

is equal to the (i, j) entry of DF (x 0 ). (where fi, as usual, denotes the i-th output of the function F ).

  1. Problems 6 and 7 in Section 11.3 of Wade.
  2. Let V be an open ball in Rm^ and suppose that F : V → Rn^ is a continuously differentiable function such that DF (x) = A, where A is a fixed n × m matrix, for all x ∈ V. Show that there exists c ∈ Rn^ such that

F (x) = Ax + c

for all x ∈ V (Hint: there is no nice MVT for functions Rm^ → Rn).

Harder problems:

  1. We define the parabolic coordinate system in R^2 via the formulas

y(u, v) = uv x(u, v) = 1/2(v^2 − u^2 )

(a) Show that the mapping defined by (1) is locally invertible for all (u, v) 6 = (0, 0) but not globally invertible.

(b) Show that the mapping (1) is invertible if we restrict its domain to v > 0.

(c) Let the function f : R^2 → R^2 be defined by the formula (in parabolic coordi- nates)

f (u, v) = v − u^2. 1

2

Find ∂f ∂x

(u, v) and

∂f ∂y

(u, v);

that is, find the derivatives of the function f with respect to the variables x and y as functions of u and v.

  1. The Laplacian ∆f of a function f : R^2 → R^2 is defined by

∆f (x, y) =

∂^2

∂x^2

(x, y) + ∂^2 f ∂y^2

(x, y).

Let (r, θ) denote the usual polar coordinate system in R^2. Find an expression of the Laplacian in polar coordinates; that is, write

∆f (r, θ)

in terms of the first and second derivatives of the function f with respect to r and θ.

  1. (A Global Inverse F.T.) Suppose F : Rn^ → Rn^ is continously differentiable and there exists a constant c > 0 such that

‖F (x) − F (y)‖ ≥ c‖x − y‖

for all x and y in Rn. Show that F is invertible and its inverse F −^1 is also contin- uously differentiable.

(Hint: show that F is both an open and closed mapping — that is, it takes open sets to open sets and closed sets to closed sets. It will follow that F (Rn) = Rn since the only sets in Rn^ which are both open and closed are { 0 } and Rn).