A symmetric matrix is a square matrix that is equal to its transpose. Learn about its properties, decomposition, diagonalization, and applications in linear algebra and geometry. Learn Symmetric Matrix at Bytelearn. Know the definitions, see the examples, and practice problems of Symmetric Matrix . Your one-stop solution for instant study helps. A symmetric matrix is defined as a square matrix that is equal to its transpose. A symmetric matrix can A can therefore satisfies the condition, A = A^T. Understand the symmetric matrices using theorems and examples. Symmetric matrix is identified as a square matrix that is equivalent to its transpose matrix . The transpose matrix of any assigned matrix say X, can be written as XT X T. A symmetric matrix Y can accordingly be represented as, Y = YT Y = Y T. With all the various classes of matrices , symmetric matrices are one of the most prominent ones that are extensively used in machine learning. A matrix is depicted as an array of numbers (real or complex) that are arranged in rows (horizontal lines) and ...

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