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Answer (1 of 2) Conditional expectation is difficult to work with in the most general case Here is a link to the proof in the general case, but it may not be that informative if you are not familiar with measure theory Law of total expectation I will give you a "proof" in the special caseOr E {\displaystyle \mathbb {E} } The expected value is also known as the expectation, mathematical expectation, mean, average, or first moment Expected value is a key concept in economics, finance, and many other subjects By definition, the expected value of a constant random variable X = c {\displaystyle X=c}< Abstract This is a narrative about the life and activity of Dr G Tzenoff (1870, Boynitsa at Kula – 1949, Berlin) Dr Tzenoff is a historian with a dissertation from the Berlin University (1900) The origin of the



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Proof lnexy = xy = lnex lney = ln(ex ·ey) Since lnx is onetoone, then exy = ex ·ey 1 = e0 = ex(−x) = ex ·e−x ⇒ e−x = 1 ex ex−y = ex(−y) = ex ·e−y = ex 1 ey ex ey • For r = m ∈ N, emx = e z }m { x···x = z }m { ex ···ex = (ex)m • For r = 1 n, n ∈ N and n 6= 0, ex = e n n x = e 1 nx n ⇒ e n x = (ex) 1 • For r rational, let r = m n, m, n ∈ N13 models calculate a ratio lower than 1Calcular 1 x cos senx E x2 \u03c0 a 0 b 1 c 2 d 2 e 22 10Calcular 1 senxsenx 3 1 E x Calcular 1 x cos senx e x2 π a 0 b 1 c 2 d 2 e 22 School National Major San Marcos University;



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Var(XjY =y)=E(X2jY =y)¡E(XjY =y)2 Remark We always suppose that åx jg(x)jfXjY(xjy)•¥ Definition Denote j(y) = E(XjY = y) Then E(XjY) def= j(Y) In words, E(XjY) is a random variable which is a function of Y taking value E(XjY =y) when Y =y The E(g(X)jY) is defined similarly In particular E(X2jY) is obtained when g(X)=X2 and VarFree math problem solver answers your algebra, geometry, trigonometry, calculus, and statistics homework questions with stepbystep explanations, just like a math tutor



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