Search for notes by fellow students, in your own course and all over the country.

Browse our notes for titles which look like what you need, you can preview any of the notes via a sample of the contents. After you're happy these are the notes you're after simply pop them into your shopping cart.

My Basket

You have nothing in your shopping cart yet.

Title: Problems and solutions for the Partial Differential equations section 1.1 from Walter A. Strauss
Description: The book Partial Differential Equations from the author Walter A. Strauss is a good book to self-study partial differential equations. It contains many problems to practice with. To learn efficiently mathematics it is necessary to get feedback from the solved problems. This document provides the problems and their solutions, writen with an educational twist, for the section: 1.1 What is a Partial Differential Equation.

Document Preview

Extracts from the notes are below, to see the PDF you'll receive please use the links above


Problems and solutions for
Book:

Partial Differential Equations

Chapter: 1
...
Strauss
Aleksi Kristian Winst´en
February 17, 2023

1

If not stated otherwise a, b are coefficients, and u, v are functions with multiple variables and subscript notation ux is a shorthand for partial derivative

∂x u ≡ ux
...
Verify the linearity and nonlinearity of the eight examples of PDEs
given in the text, by checking whether or not equations (3) are valid
...
The equation (3) is about linear operator L
...
ux + uy = 0

(transport)

2
...
ux + uuy = 0

(shockwave)

4
...
utt − uxx + u3 = 0
6
...
utt + uxxxx = 0
8
...

1
...

2
...
The thrill should be clear now
...
A linear because partial differentiation is a linear operation
5
...
The dependent variable
is raised to the third power
...
A linear
7
...
A linear

Problem 2
...
The idea is to input a linear combination of two functions to the
operator and see wether or not the result is a linear combination of the operators
...

L (au + bv) = (au + bv)x + x(au + bv)y
= aL u + bL (b)

b) By applying the methods descriped above one can deduce that the operator L u = ux + uuy is a nonlinear operator
...

d) A linear operator
...
Thus this is
also a linear operator
...
For each of the following equations, state the order and whether
it is nonlinear, linear inhomogeneous, or linear homogeneous; provide reasons
...
The order of a partial differential equation is the highest mixed derivative that appears
...
The inhomogeneus equations are those that is not equally the zero
...
Thus the order is two
...
Thus this is a linear second order inhomogeneous
partial differential equation
...

c) A nonlinear third order homogeneous PDE
...

e) Note that the imaginary unit is also a complex number, which makes this
equation a linear second order homogeneous PDE
...

g) A linear first order homogeneous PDE
...
This is a
nonlinear fourth order homogeneous PDE
...
Show that the difference of two solutions of an inhomogeneous
linear equation L u = g with the same g is a solution of the homogeneous
equation L u = 0
Solution
...
Input the difference of the solutions into the linear operator L
L (u − v) = L u − L v = g − g = 0
Thus the difference ω = u − v is a solution to the homogeneous linear equation
Lω = 0

Problem 5
...

a) The vectors with b = 0
b) The vectors with b = 1
c) The vectors with ab = 0
d) All the linear combinations of the two vectors [1, 1, 0] and [2, 0, 1]
...
Assume that the notation [a, b, c] means a point in the three dimensional euclidean space, and the vector addition and multiplication with scalar
obeys those rules that are familiar from the linear algebra
...

4

a) The set to investigate is
V := {[a, b, c] ∈ R3 : b = 0}
This defines the set V which includes all the points from the R3 such that
b = 0
...

[0, 0, 0] ∈ V
Also the additive inverse is included, because −[a, 0, c] = [−a, 0, −c]
...

b) The situtation is similar to the last one, but this time b = 1, which means
that the zero vector cannot be in the set, so this is not a vector space
...
This means that there is no zero divisors
...
That implies the zero vector is included
...

d) The task here is to find out if the given vectors are linearly independent
and thus span a vector space
...
Thus the linear
combination of given vectors span a vector space
...
A familiar consept here to think
about is to rename the parameters x = a, y = b and z = c and notice that
the set V is a surface over the xy-plane
...
Because the parameter c depends linearly from a
and b the additive inverse is also included
...
Are the three vectors [1, 2, 3], [−2, 0, 1], and [1, 10, 17] linearly dependent or independent? Do they span all vectors or not?
Solution
...

Now lets try if the given set of vectors fullfills this requirement
...


   
1 −2 1
a1
0
2 0 10 a2  = 0
3 1 17 a3
0
The determinant is zero, which implies that the column-vector space is linearly dependent
...

Problem 7
...
There is two approaches to solve the problem
...
Other would notice that the
given functions are analytic and thus check if their Wronskian is nonzero, which
implies linear independence
...

a1 (1 + x) + a2 (1 − x) + a3 (1 + x + x2 ) = 0
Open the brackets and prosper
...
For this to be true it must be that a1
and a2 equals zero also
...

The other one used the Wronskian to solve this
...



1 + x 1 − x 1 + x + x2


−1
1 + 2x = −3 − x
W (1 + x, 1 − x, 1 + x + x2 )(x) = 1
0

0
2
This is never zero for any x ∈ R so the given functions are linearly independent
...
Find a vector that, together with the vectors [1, 1, 1] and [1, 2, 1],
forms a basis of R3
...
The given vectors are all 3-vectors, so it is easy to visualize their
orientation in the space
...
But nobody is so sceptical as a mathematician, so lets verify this
...


6

Problem 9
...
Find a basis of it
...
To show they form a vector space we have to check whether or not the
zero vector and the additive inverse belongs to the set
...
The second additive inverse
follows from the fact that the given function is actually a linear combination
of three different functions
...
Thus functions (c1 +
c2 sin2 x + c3 cos2 x) form a vector space
...
Notice that the set {1, sin2 , cos2 }
is not linearly independent, because sin2 + cos2 = 1
...

This element can be removed from the set, and the leftover span the same vector
space
...
These are linearly independent,
which can be verified using the wronskian

2
sin x cos2 x
= − sin 2x
W (sin2 , cos2 )(x) =
sin 2x − sin 2x
which is non-zero except at countable isolated points
...
Show that the solutions of the differential equation u′′′ − 3u′′ +
4u = 0 form a vector space
...

Solution
...

To find the solution for a linear ordinary differential equation (ODE) with
constant coefficients define u := erx and solve for the r
...
From these facts deduct that the given ODE equals zero if and
only if the following characteristic equation is true
...
So the three solutions are r1 = −1, r2 = 2 and r3 = 2
...
The tactic to overcome this problem
is well known and can be found from any differential equations textbook
...
This method gives
u(x) = C1 e−x + C2 e2x + C3 xe2x
One should verify this to be a solution for the given ODE
...
Also note that the
functions {e−x , e2x , xe2x } are linearly independent solutions and thus span a
vector space, and is the basis of that space
...
Verify that u(x, y) = f (x)g(y) is a solution of the PDE uuxy =
ux uy for all pairs of (differentiable) functions f and g of one variable
...
The quest is to verify the function u(x, y) = f (x)g(y) to be a solution
...
First find out the partial derivatives of the function u
...

f (x)g(y)f ′ (x)g ′ (y) = f ′ (x)g(y)f (x)g ′ (y)
The claim is obviously true
...
Verify by direct substitution that
un (x, y) = sin(nx) sinh(ny)
is a solution of uxx + uyy = 0 for every n > 0
...
Here the notation is littlebit misleading, because the subscript notation here un is not the same as partial derivative with respect to a variable n
...

Lets do what was asked to
...


8


Title: Problems and solutions for the Partial Differential equations section 1.1 from Walter A. Strauss
Description: The book Partial Differential Equations from the author Walter A. Strauss is a good book to self-study partial differential equations. It contains many problems to practice with. To learn efficiently mathematics it is necessary to get feedback from the solved problems. This document provides the problems and their solutions, writen with an educational twist, for the section: 1.1 What is a Partial Differential Equation.