Any finite field extension of a finite field is separable and simple. Single layer perceptrons are only capable of learning linearly separable patterns. Let formula 1 be a finite degree separable extension. An entangled state is a linear superposition of separable states. It can distinguish data that is not linearly separable. A topological space homeomorphic to a separable complete metric space is called a Polish space. Every second-countable manifold is separable and paracompact. Only the Gaussian function is both separable and isotropic. Note that the theorem holds trivially for separable states. Polynomials that are not inseparable are said to be "separable". This applies in particular to separable reflexive Banach spaces. Let formula 1 be a separable metric space. The separable form, formula 5 is trivial to compute. The two pairs are separated by 41 arcseconds, easily separable in binoculars. Both capacitances are only separable by measurement techniques.