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okay this lecture is mostly about the idea of similar matrices I'm going to tell you what that word similar means and in what way two matrices are called similar but before I do that I have a little more to say about positive definite matrices you can tell this is a subject I think is really important and I told you what positive definite meant it means that this this expression this quadratic form X transpose ax is always positive but the direct way to test it was with eigenvalues or pivots or determinants so we know what it means we know how to test it but I didn't really say where positive definite matrices come from and so one thing I want to say is that they come from least squares in and all sorts of physical problems start with a rectangular matrix you remember in these squares that the crucial combination was a transpose a so I want to show that that's a positive definite matrix okay so I'm going to speak a little more about positive definite matrices just recapping so let me a

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