(c) Similarity transformation always preserves the range, i.e., for any A E Rxn and any nonsingular TERnxn, R(A) = R(T-¹AT). (d) For any A € Rmxn and any B E RnXP, R(AB) CR(A). (e) For any A E Rmxn and any CERPXm, N(A) CN(CA).
(c) Similarity transformation always preserves the range, i.e., for any A E Rxn and any nonsingular TERnxn, R(A) = R(T-¹AT). (d) For any A € Rmxn and any B E RnXP, R(AB) CR(A). (e) For any A E Rmxn and any CERPXm, N(A) CN(CA).
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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Question
Parts C D and E
Expert Solution
Step 1 Part c
Similarity transformation always preserve the range. This statement is false.
For example, consider the linear transformations and defined by
The standard matrices corresponding to and are and .
To show that A and B are similar
The eigen values of A are 1 and 0 ( because trace(A)=1 and det(A)=0 ; also sum of eigen values of A = trace(A)=1 and product of eigen values of A = det(A) = 0. The two numbers whose sum is 1 and product is 0 are 1 and 0 ).
Hence the Jordan canonical form of A is which is B. So matrices A and B are similar( a matrix is always similar to its Jordan canonical form).
But is the straight line y = x and is the Y axis. Hence and have different ranges.
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