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Mathematical Methods for Physics and Engineering - Matematica.NET

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30.16 EXERCISEStivariate Gaussian. For example, let us consider the quadratic <strong>for</strong>m (multipliedby 2) appearing in the exponent of (30.148) <strong>and</strong> write it as χ 2 n,i.e.χ 2 n =(x − µ) T V −1 (x − µ). (30.150)From (30.149), we see that we may also write it asn∑χ 2 y ′ 2in = ,λ ii=1which is the sum of n independent Gaussian variables with mean zero <strong>and</strong> unitvariance. Thus, as our notation implies, the quantity χ 2 n is distributed as a chisquaredvariable of order n. As illustrated in exercise 30.40, if the variables X i arerequired to satisfy m linear constraints of the <strong>for</strong>m ∑ ni=1 c iX i =0thenχ 2 n definedin (30.150) is distributed as a chi-squared variable of order n − m.30.16 Exercises30.1 By shading or numbering Venn diagrams, determine which of the following arevalid relationships between events. For those that are, prove the relationshipusing de Morgan’s laws.(a) ( ¯X ∪ Y )=X ∩ Ȳ .(b) ¯X ∪ Ȳ = (X ∪ Y ).(c) (X ∪ Y ) ∩ Z =(X ∪ Z) ∩ Y .(d) X ∪ (Y ∩ Z) =(X ∪ Ȳ ) ∩ ¯Z.(e) X ∪ (Y ∩ Z) =(X ∪ Ȳ ) ∪ ¯Z.30.2 Given that events X,Y <strong>and</strong> Z satisfy(X ∩ Y ) ∪ (Z ∩ X) ∪ ( ¯X ∪ Ȳ )=(Z ∪ Ȳ ) ∪{[( ¯Z ∪ ¯X) ∪ ( ¯X ∩ Z)] ∩ Y },prove that X ⊃ Y , <strong>and</strong> that either X ∩ Z = ∅ or Y ⊃ Z.30.3 A <strong>and</strong> B each have two unbiased four-faced dice, the four faces being numbered1, 2, 3, 4. Without looking, B tries to guess the sum x of the numbers on thebottom faces of A’s two dice after they have been thrown onto a table. If theguess is correct B receives x 2 euros, but if not he loses x euros.Determine B’s expected gain per throw of A’s dice when he adopts each of thefollowing strategies:(a) he selects x at r<strong>and</strong>om in the range 2 ≤ x ≤ 8;(b) he throws his own two dice <strong>and</strong> guesses x to be whatever they indicate;(c) he takes your advice <strong>and</strong> always chooses the same value <strong>for</strong> x. Which numberwould you advise?30.4 Use the method of induction to prove equation (30.16), the probability additionlaw <strong>for</strong> the union of n general events.30.5 Two duellists, A <strong>and</strong> B, take alternate shots at each other, <strong>and</strong> the duel is overwhen a shot (fatal or otherwise!) hits its target. Each shot fired by A has aprobability α of hitting B, <strong>and</strong> each shot fired by B has a probability β of hittingA. Calculate the probabilities P 1 <strong>and</strong> P 2 , defined as follows, that A will win sucha duel: P 1 , A fires the first shot; P 2 , B fires the first shot.If they agree to fire simultaneously, rather than alternately, what is the probabilityP 3 that A will win, i.e. hit B without being hit himself?1211

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