MHB Exterior Power of Linear Transformation

Click For Summary
The discussion centers on calculating the exterior power of a linear transformation represented by the matrix A. The characteristic polynomial for a 3x3 matrix is derived, leading to the expression for the trace of the second exterior power, \(\mbox{tr}(\wedge^2 A)\). The polynomial is computed as \(P_{A}(\lambda)=(1-\lambda)(2-\lambda)(3-\lambda)\), which simplifies to \(-\lambda^3 + 6\lambda^2 - 11\lambda + 6\). Ultimately, the trace of the linear transformation \(\wedge^2(f)\) is found to be 11. The calculations confirm the correct application of the exterior power concept in linear algebra.
Sudharaka
Gold Member
MHB
Messages
1,558
Reaction score
1
Hi everyone, :)

I don't understand how to use the given linear transformation so as to calculate the exterior power of \(V\); \(\wedge^2(f)\). I hope you can help me with this. :)

Problem:

Find the trace of the linear transformation \(\wedge^2(f)\), if \(f\) is given by the matrix,

\[A=\begin{pmatrix}1&1&0\\0&2&2\\0&0&3\end{pmatrix}\]
 
Physics news on Phys.org
Sudharaka said:
Hi everyone, :)

I don't understand how to use the given linear transformation so as to calculate the exterior power of \(V\); \(\wedge^2(f)\). I hope you can help me with this. :)

Problem:

Find the trace of the linear transformation \(\wedge^2(f)\), if \(f\) is given by the matrix,

\[A=\begin{pmatrix}1&1&0\\0&2&2\\0&0&3\end{pmatrix}\]

I think I got this one covered. Let me know if you see any mistakes. :)

For a \(n\times n\) matrix \(A\) the characteristic polynomial is given by the general formula,

\[P_{A}(\lambda)=\sum_{k=0}^{n}\lambda^{n-k}(-1)^{n-k}\mbox{tr}(\wedge^k A)\]

Therefore for a \(3\times 3\) matrix this reduces to,

\[P_{A}(\lambda)=-\lambda^3+\mbox{tr}(\wedge A)\lambda^2-\mbox{tr}(\wedge^2 A)\lambda+\mbox{tr}(\wedge^3 A)\]

Now if we write the characteristic polynomial of \(A\) we get,

\[P_{A}(\lambda)=(1-\lambda)(2-\lambda)(3-\lambda)=-\lambda^2+6\lambda^2-11\lambda+6\]

Therefore,

\[\mbox{tr}(\wedge^2 A)=11\]
 
Last edited:
Thread 'How to define a vector field?'
Hello! In one book I saw that function ##V## of 3 variables ##V_x, V_y, V_z## (vector field in 3D) can be decomposed in a Taylor series without higher-order terms (partial derivative of second power and higher) at point ##(0,0,0)## such way: I think so: higher-order terms can be neglected because partial derivative of second power and higher are equal to 0. Is this true? And how to define vector field correctly for this case? (In the book I found nothing and my attempt was wrong...

Similar threads

  • · Replies 23 ·
Replies
23
Views
2K
  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 52 ·
2
Replies
52
Views
4K
  • · Replies 8 ·
Replies
8
Views
3K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 2 ·
Replies
2
Views
3K
  • · Replies 4 ·
Replies
4
Views
3K
  • · Replies 3 ·
Replies
3
Views
3K
  • · Replies 34 ·
2
Replies
34
Views
2K
  • · Replies 3 ·
Replies
3
Views
1K