Ramsey
2021-02-11
wornoutwomanC
Skilled2021-02-12Added 81 answers
Step 1
To establish some basic facts about the determinant of a linear transformation T from U to U (U a vector space).
Step 2
A linear transformation
Step 3
Let B be a basis of U. Then T is represented as a square matrix of size n (n= dimension of U)
Let
(The vectors in B are linearly independent and they span U).
Then anu linear map T : B
Step 4
With the above notation, we define det(T) = determinant of the matrix
In order that det (T) is well-defined , we need to show that this definition does not depend on the choice of the basis B. In other words, if C is some other basis for U, we need to prove that.
Det
Let B, C are two bases of U.
We need to show det
which in turn proves that (T) is well - defined.
(det (T) is independent of the basis)
Step 5
Here , we have used the standard properties of determinants of matrices .
Proof: Let B,C are two bases of U.
Then
where P is the change of basis matrix.
Now
det
Step 6
Proof of T is invertible iff det (T) is not zero
Step 7
Now,
det
det
as required.
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