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Finding Eigen Value of Symmetric matrix Using Microsoft Excel
Eigen value is very important for many applications in Science and Engineering such as solution to linear and non-linear differential equations, boundary value problem, chaos theory, discrete dynamical system, Markov chain, network analysis, Population growth model, are just a few applications to mentions. Eigen value of symmetric matrix appears to be very useful for many practical problems. Many statistical and decision-making tools such as multidimensional scaling (MDS) and Principle component Analysis (PCA) are rely heavily on the finding of Eigen value of symmetric matrix of covariance or correlation matrix. Many people believe that finding Eigen value is very difficult problem. In this tutorial, we will learn an easy way to find Eigen value of a symmetric matrix using MS Excel Goal seeks. In principle, finding Eigen value is the same problem as finding a root of polynomial equation. Symmetric matrix has special properties that the Eigen values are always real number (not complex number). That is why we can easily solve using MS excel Goal seeks. You can use the procedure below to find the Eigen value of any square matrix, but some of the complex Eigen value may never be found. Click here for explanation on how to get symmetric matrix from any matrix. Suppose we have a symmetric
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Preferable reference for this tutorial is Teknomo, Kardi. Finding Eigen Value of Symmetric matrix Using Microsoft Excel. http:\\people.revoledu.com\kardi\ tutorial\Excel\EigenValue.html
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