3.11 Definition A square matrix is nonsingular if it is the matrix of coefficients of a homogeneous system with a unique solution. It is singular otherwise, that is, if it is the matrix of coefficients of a homogeneous system with infinitely many solutions.

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
icon
Related questions
Question

Q1 2) 

In which of the four cases is the coefficient matrix A of the system non-singular? In which cases is it singular? (Look at the definition below the middle table at the bottom of the page (definition 3.11))

PROOP We've seen examples of all three happening so we need only prove that
there are no other possibilities.
First observe a homogeneous system with at least one non-o solution v has
infinitely many solutions. This is because any scalar multiple of V also solves the
homogeneous system and there are infinitely many vectors in the set of scalar
multiples of V: if s, t R are unequal then sv tv, since sv-tv = (st)v is
non-Ō as any non-0 component of V, when rescaled by the non-0 factor s-t, will
give a non-0 value.
Now apply Lemma 3.7 to conclude that a solution set
{p+hh solves the associated homogeneous system)
is either empty (if there is no particular solution p), or has one element (if there
is a p and the homogeneous system has the unique solution 0), or is infinite (if
there is a p and the homogeneous system has a non-o solution, and thus by the
prior paragraph has infinitely many solutions).
QED
This table summarizes the factors affecting the size of a general solution.
number of solutions of the
homogeneous system
one
infinitely many
infinitely many
particular yes
solution
unique
solution
solutions
no
exists?
no
no
solutions
solutions
The dimension on the top of the table is the simpler one. When we perform
Gauss's Method on a linear system, ignoring the constants on the right side and
so paying attention only to the coefficients on the left-hand side, we either end
with every variable leading some row or else we find some variable that does not
lead a row, that is, we find some variable that is free. (We formalize "ignoring
the constants on the right" by considering the associated homogeneous system.)
A notable special case is systems having the same number of equations as
unknowns. Such a system will have a solution, and that solution will be unique,
if and only if it reduces to an echelon form system where every variable leads its
row (since there are the same number of variables as rows), which will happen if
and only if the associated homogeneous system has a unique solution.
3.11 Definition A square matrix is nonsingular if it is the matrix of coefficients
of a homogeneous system with a unique solution. It is singular otherwise, that
is, if it is the matrix of coefficients of a homogeneous system with infinitely many
solutions.
Transcribed Image Text:PROOP We've seen examples of all three happening so we need only prove that there are no other possibilities. First observe a homogeneous system with at least one non-o solution v has infinitely many solutions. This is because any scalar multiple of V also solves the homogeneous system and there are infinitely many vectors in the set of scalar multiples of V: if s, t R are unequal then sv tv, since sv-tv = (st)v is non-Ō as any non-0 component of V, when rescaled by the non-0 factor s-t, will give a non-0 value. Now apply Lemma 3.7 to conclude that a solution set {p+hh solves the associated homogeneous system) is either empty (if there is no particular solution p), or has one element (if there is a p and the homogeneous system has the unique solution 0), or is infinite (if there is a p and the homogeneous system has a non-o solution, and thus by the prior paragraph has infinitely many solutions). QED This table summarizes the factors affecting the size of a general solution. number of solutions of the homogeneous system one infinitely many infinitely many particular yes solution unique solution solutions no exists? no no solutions solutions The dimension on the top of the table is the simpler one. When we perform Gauss's Method on a linear system, ignoring the constants on the right side and so paying attention only to the coefficients on the left-hand side, we either end with every variable leading some row or else we find some variable that does not lead a row, that is, we find some variable that is free. (We formalize "ignoring the constants on the right" by considering the associated homogeneous system.) A notable special case is systems having the same number of equations as unknowns. Such a system will have a solution, and that solution will be unique, if and only if it reduces to an echelon form system where every variable leads its row (since there are the same number of variables as rows), which will happen if and only if the associated homogeneous system has a unique solution. 3.11 Definition A square matrix is nonsingular if it is the matrix of coefficients of a homogeneous system with a unique solution. It is singular otherwise, that is, if it is the matrix of coefficients of a homogeneous system with infinitely many solutions.
Expert Solution
steps

Step by step

Solved in 3 steps with 2 images

Blurred answer
Recommended textbooks for you
Advanced Engineering Mathematics
Advanced Engineering Mathematics
Advanced Math
ISBN:
9780470458365
Author:
Erwin Kreyszig
Publisher:
Wiley, John & Sons, Incorporated
Numerical Methods for Engineers
Numerical Methods for Engineers
Advanced Math
ISBN:
9780073397924
Author:
Steven C. Chapra Dr., Raymond P. Canale
Publisher:
McGraw-Hill Education
Introductory Mathematics for Engineering Applicat…
Introductory Mathematics for Engineering Applicat…
Advanced Math
ISBN:
9781118141809
Author:
Nathan Klingbeil
Publisher:
WILEY
Mathematics For Machine Technology
Mathematics For Machine Technology
Advanced Math
ISBN:
9781337798310
Author:
Peterson, John.
Publisher:
Cengage Learning,
Basic Technical Mathematics
Basic Technical Mathematics
Advanced Math
ISBN:
9780134437705
Author:
Washington
Publisher:
PEARSON
Topology
Topology
Advanced Math
ISBN:
9780134689517
Author:
Munkres, James R.
Publisher:
Pearson,