[See Steps] Circle whether the following assertions are True or False: T F A real, square matrix always has at least one real eigenvalue. T F A finite dimensional
Question: Circle whether the following assertions are True or False:
- T F A real, square matrix always has at least one real eigenvalue.
- T F A finite dimensional vector space with an inner product always has an orthonormal basis.
- T F Every real, symmetric matrix is diagonalizable.
- \(\mathrm{T} \mathrm{F}\) If \(\mathrm{P}\) is an orthogonal matrix, then \(|\operatorname{det} P|=1\).
- \(\mathrm{T} \mathrm{F}\) If \(\mathrm{u}\) is orthogonal to vectors \(\mathrm{v}\) and \(\mathrm{w}\), then \(\mathrm{u}\) is orthogonal to every linear combination of \(\mathrm{v}\) and \(\mathrm{w}\).
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