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1. An application in probability (a) A function p(q) is a probability measure if p(x) >...
(9 points) In this question, we will find E(X), the nth moment of X,, where X,...
(9 points) In this question, we will find E(X), the nth moment of X,, where X, N(0,0%) is normally distributed with mean 0 and variance oz. (a) (3 points) A function po() is a probability measure on R if po(t) > 0 V2 € R and Po(x) dx = 1. By showing Lee* dar = Vī, show that po(x) = 2 e is a probability measure. (b) (3 points) Completing the square, compute the moment generating function of X, V20...
(d) The function f(x)1 is locally integrable on (0, oo). To see whether converges, we consider th...
(d) The function f(x)1 is locally integrable on (0, oo). To see whether converges, we consider the improper integrals separately. (The choice of π above is arbitrary.) By considering f (x) lim an show that 11 converges iff p< 1. Next, by considering lim J(z) an -p- dx show that /2 converges iff p +q>1. Finally, combine these results to show that I converges iff p < 1 and p+q1.
(d) The function f(x)1 is locally integrable on (0, oo)....
Exercise 13. For each pair of polynomials p(x), q(x) E P define (p, q) р(«)q(2) dx....
Exercise 13. For each pair of polynomials p(x), q(x) E P define (p, q) р(«)q(2) dx. -1 inner product (i) Prove that (p, q) defines on P3 an orthogonal (ii) Show that 1, х are (iii) Find the angle between 1 and 1 + x.
Exercise 13. For each pair of polynomials p(x), q(x) E P define (p, q) р(«)q(2) dx. -1 inner product (i) Prove that (p, q) defines on P3 an orthogonal (ii) Show that 1, х are...
6. The goal of this problem is to prove that a function is Riemann integrable if and only if its ...
exercice 6
6. The goal of this problem is to prove that a function is Riemann integrable if and only if its set of discontinuities has measure 0. So, assume f: a, bR is a bounded function. Define the oscillation of f at , w(f:z) by and for e >0 let Consider the following claims: i- Show that the limit in the definition of the oscillation always exists and that f is continuous at a if and only if w(f;...
Usi ng the method of (d) on p. 215, show that f (x) = 2x2 is...
Usi ng the method of (d) on p. 215, show that f (x) = 2x2 is integrable on to, is and soflolda = 3 that 3 and (d) Consider the function f(x) = x, x € (0,1). For n E N, let P, be the partition {0,1...,1}. Since ſ is increasing on [0, 1], its infimum and supremum on each interval ( 4.4) are attained at the left and right endpoint respectively. with m; = (i - 1) /nº and...
Please all thank you Exercise 25: Let f 0,R be defined by f(x)-1/n, m, with m,nENand n is the minimal n such that m/n a) Show that L(f, P)0 for all partitions P of [0, 1] b) Let mE N. Show that t...
Please all thank you
Exercise 25: Let f 0,R be defined by f(x)-1/n, m, with m,nENand n is the minimal n such that m/n a) Show that L(f, P)0 for all partitions P of [0, 1] b) Let mE N. Show that the cardinality of the set A bounded by m(m1)/2. e [0, 1]: f(x) > 1/m) is c) Given m E N construct a partition P such that U(f, Pm)2/m. d) Show that f is integrable and compute Jo...
Problem 1. Consider the function f(x)- 3.12 show that f is Riemann integrable on [0.2] and use the definition to f...
Problem 1. Consider the function f(x)- 3.12 show that f is Riemann integrable on [0.2] and use the definition to find .后f(x)dr Problem 2. Consider the function -2, zEQ 2, O f(r) = Show that f is not Riemann integrable on 0,1 but s Reemann integrable on this interval. Problem 3. (a) Let f be a real-valued function on a, b] such thatf()0 for all c, where c E [a, b Prove that f is Riemann integrable on a, b...
Probability and measure Consider (21,F,P)-((0,1), B, A) and measurable function p: (0,1)R given by p(t)4t (1...
Probability and measure
Consider (21,F,P)-((0,1), B, A) and measurable function p: (0,1)R given by p(t)4t (1 t). Find the CDF for the measure induced by p on (R, B)
(11) Let (,A. /) be a measure space. Let g 2 - R* be a measurable function which is integrable on a set A E A. Let f, :...
(11) Let (,A. /) be a measure space. Let g 2 - R* be a measurable function which is integrable on a set A E A. Let f, : O -> R* be a sequence of measurable functions such that g(x) < fn(x) < fn+1(x), for all E A and n E N. Prove that lim fn d lim fn du noo A
(11) Let (,A. /) be a measure space. Let g 2 - R* be a measurable function...
1. Let X be a continuous random variable with probability density function f(x) = { if...
1. Let X be a continuous random variable with probability density function f(x) = { if x > 2 otherwise 0 Check that f(-x) is indeed a probability density function. Find P(X > 5) and E[X]. 2. Let X be a continuous random variable with probability density function f(x) = = { SE otherwise where c is a constant. Find c, and E[X].
(9 points) In this question, we will find E(X), the nth moment of X,, where X, N(0,0%) is normally distributed with mean 0 and variance oz. (a) (3 points) A function po() is a probability measure on R if po(t) > 0 V2 € R and Po(x) dx = 1. By showing Lee* dar = Vī, show that po(x) = 2 e is a probability measure. (b) (3 points) Completing the square, compute the moment generating function of X, V20...
(d) The function f(x)1 is locally integrable on (0, oo). To see whether converges, we consider the improper integrals separately. (The choice of π above is arbitrary.) By considering f (x) lim an show that 11 converges iff p< 1. Next, by considering lim J(z) an -p- dx show that /2 converges iff p +q>1. Finally, combine these results to show that I converges iff p < 1 and p+q1.
(d) The function f(x)1 is locally integrable on (0, oo)....
Exercise 13. For each pair of polynomials p(x), q(x) E P define (p, q) р(«)q(2) dx. -1 inner product (i) Prove that (p, q) defines on P3 an orthogonal (ii) Show that 1, х are (iii) Find the angle between 1 and 1 + x.
Exercise 13. For each pair of polynomials p(x), q(x) E P define (p, q) р(«)q(2) dx. -1 inner product (i) Prove that (p, q) defines on P3 an orthogonal (ii) Show that 1, х are...
exercice 6
6. The goal of this problem is to prove that a function is Riemann integrable if and only if its set of discontinuities has measure 0. So, assume f: a, bR is a bounded function. Define the oscillation of f at , w(f:z) by and for e >0 let Consider the following claims: i- Show that the limit in the definition of the oscillation always exists and that f is continuous at a if and only if w(f;...
Usi ng the method of (d) on p. 215, show that f (x) = 2x2 is integrable on to, is and soflolda = 3 that 3 and (d) Consider the function f(x) = x, x € (0,1). For n E N, let P, be the partition {0,1...,1}. Since ſ is increasing on [0, 1], its infimum and supremum on each interval ( 4.4) are attained at the left and right endpoint respectively. with m; = (i - 1) /nº and...
Please all thank you
Exercise 25: Let f 0,R be defined by f(x)-1/n, m, with m,nENand n is the minimal n such that m/n a) Show that L(f, P)0 for all partitions P of [0, 1] b) Let mE N. Show that the cardinality of the set A bounded by m(m1)/2. e [0, 1]: f(x) > 1/m) is c) Given m E N construct a partition P such that U(f, Pm)2/m. d) Show that f is integrable and compute Jo...
Problem 1. Consider the function f(x)- 3.12 show that f is Riemann integrable on [0.2] and use the definition to find .后f(x)dr Problem 2. Consider the function -2, zEQ 2, O f(r) = Show that f is not Riemann integrable on 0,1 but s Reemann integrable on this interval. Problem 3. (a) Let f be a real-valued function on a, b] such thatf()0 for all c, where c E [a, b Prove that f is Riemann integrable on a, b...
Probability and measure
Consider (21,F,P)-((0,1), B, A) and measurable function p: (0,1)R given by p(t)4t (1 t). Find the CDF for the measure induced by p on (R, B)
(11) Let (,A. /) be a measure space. Let g 2 - R* be a measurable function which is integrable on a set A E A. Let f, : O -> R* be a sequence of measurable functions such that g(x) < fn(x) < fn+1(x), for all E A and n E N. Prove that lim fn d lim fn du noo A
(11) Let (,A. /) be a measure space. Let g 2 - R* be a measurable function...
1. Let X be a continuous random variable with probability density function f(x) = { if x > 2 otherwise 0 Check that f(-x) is indeed a probability density function. Find P(X > 5) and E[X]. 2. Let X be a continuous random variable with probability density function f(x) = = { SE otherwise where c is a constant. Find c, and E[X].
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