(d) Hence find a fundamental set of solutions r(1)(t), x(2)(t) and a fundamental matrix F(t) for the system = Ar. (e) Find eAt by first computing e't and using that J = P¯'AP. (f) Find (F(0))-! and verify that eAt = F(t)(F(0))-!. %3D
Permutations and Combinations
If there are 5 dishes, they can be relished in any order at a time. In permutation, it should be in a particular order. In combination, the order does not matter. Take 3 letters a, b, and c. The possible ways of pairing any two letters are ab, bc, ac, ba, cb and ca. It is in a particular order. So, this can be called the permutation of a, b, and c. But if the order does not matter then ab is the same as ba. Similarly, bc is the same as cb and ac is the same as ca. Here the list has ab, bc, and ac alone. This can be called the combination of a, b, and c.
Counting Theory
The fundamental counting principle is a rule that is used to count the total number of possible outcomes in a given situation.
Parts d, e and f please (first three parts previously answered)
![1. Let A be a 2 × 2 matrix with a double eigenvalue r, and let T be an invertible
matrix such that T-'AT =
Let I be the identity matrix.
(a) Show that T-(A – rI)T
Hence show that (T-(A – rI)T)² = 0.
Deduce that (A – rI)² = 0.
(b) Now let ŋ be a vector such that { = (A-rI)n+0. Show that { is an eigenvector
of A.
1 4
has a double eigenvalue A = -3. Let n=6):
()-
(c) The matrix A =
Compute { = (A – AI)ŋ and show that { + 0. Define P = (§,n) and show that
J = P-'AP = (
-3 1
0 -3
(d) Hence find a fundamental set of solutions r(t), x(2)(t) and a fundamental
matrix F(t) for the system r = Ar.
(e) Find eAt by first computing eJt and using that J = P-'AP.
(f) Find (F(0))-! and verify that e4t = F(t)(F(0))-!.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Ff258f736-2efe-4abc-a546-b1bd73d984a7%2F95e7bbef-e363-46c4-89cc-3dcd56dd6d56%2Fkxqzh9_processed.png&w=3840&q=75)
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