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mersecske
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Where can I found the derivation of the Lanczos equation
mersecske said:I think this is a bad idea.
Lanczos' papers is not freely available,
because he wrote his papers in the 20'
mersecske said:I didnt found useful stuff on arxiv
The Lanczos Equation is a mathematical formula used to compute the eigenvalues and eigenvectors of a square matrix. It is commonly used in numerical analysis and has applications in various fields such as physics, engineering, and computer science.
Deriving the Lanczos Equation allows us to understand the underlying principles and assumptions behind the formula. This can help us better interpret and apply the equation in various scenarios, as well as make modifications or improvements if needed.
The steps involved in deriving the Lanczos Equation include choosing a starting vector, applying the Lanczos algorithm, and solving the resulting tridiagonal matrix. This process is repeated for each eigenvalue and eigenvector until the desired accuracy is achieved.
Some key points to keep in mind while deriving the Lanczos Equation include choosing a good starting vector, ensuring numerical stability, and understanding the effects of round-off errors. Additionally, it is important to have a solid understanding of linear algebra and matrix operations.
One limitation of the Lanczos Equation is that it can only be used for square matrices with real eigenvalues. It also assumes that the matrix is symmetric or Hermitian, and that the starting vector is chosen carefully to avoid convergence issues. Additionally, the Lanczos algorithm may not converge for certain matrices, leading to inaccurate results.