At time t the displacement from equilibrium, y ( t ) , of an undamped spring-mass system of mass m is governed by the initial value problem d 2 y d t 2 + ω 2 y = F 0 m cos ω t , y ( 0 ) = 1 , y ′ ( 0 ) = 0 Where F 0 and ω are positive constant. Solve this initial value problem to determine the motion of the system. What happens as t → ∞ ?
At time t the displacement from equilibrium, y ( t ) , of an undamped spring-mass system of mass m is governed by the initial value problem d 2 y d t 2 + ω 2 y = F 0 m cos ω t , y ( 0 ) = 1 , y ′ ( 0 ) = 0 Where F 0 and ω are positive constant. Solve this initial value problem to determine the motion of the system. What happens as t → ∞ ?
Solution Summary: The author explains how to determine the solution of the initial value problem to the motion of a system.
Let
2
A =
4
3
-4
0
1
(a) Show that v =
eigenvalue.
()
is an eigenvector of A and find the corresponding
(b) Find the characteristic polynomial of A and factorise it. Hint: the answer to (a)
may be useful.
(c) Determine all eigenvalues of A and find bases for the corresponding eigenspaces.
(d) Find an invertible matrix P and a diagonal matrix D such that P-¹AP = D.
(c) Let
6
0 0
A =
-10 4 8
5 1 2
(i) Find the characteristic polynomial of A and factorise it.
(ii) Determine all eigenvalues of A and find bases for the corresponding
eigenspaces.
(iii) Is A diagonalisable? Give reasons for your answer.
most 2, and let
Let P2 denote the vector space of polynomials of degree at
D: P2➡ P2
be the transformation that sends a polynomial p(t) = at² + bt+c in P2 to its derivative
p'(t)
2at+b, that is,
D(p) = p'.
(a) Prove that D is a linear transformation.
(b) Find a basis for the kernel ker(D) of the linear transformation D and compute its
nullity.
(c) Find a basis for the image im(D) of the linear transformation D and compute its
rank.
(d) Verify that the Rank-Nullity Theorem holds for the linear transformation D.
(e) Find the matrix representation of D in the standard basis (1,t, t2) of P2.
Chapter 8 Solutions
Differential Equations And Linear Algebra, Books A La Carte Edition (4th Edition)
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