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In this chapter, basic notions of probability theory are introduced, with particular emphasis on discrete probability spaces; nevertheless, some hints are given about how to extend the same notions in case of continuous probability spaces.
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Key Phrases - Statistically Improbable Phrases (SIPs):
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smallest invariant subset, corresponding invariant subset, stopping vertices, orbits towards infinity, following formal series, greatest basin, discrete probability spaces, degenerate node, null initial condition, following rational function, transposed rows, continuous sample space, proper rational function, undirected path, partial graph, convex closure, distinct stars, homogeneous linear system, discrete sample space, unit ramp, atomic events, greatest sets, characteristic multipliers, pivot column, summable functions
Key Phrases - Capitalized Phrases (CAPs):
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New York, Prove Theorem, Problems Problem, Englewood Cliffs, New Jersey, Ordinary Differential Equations, Arkansas Joe, Billy the Kid, Prentice Hall, Analyse Lineaires, Compute the Laplace, Properties of the Hermite
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