Math 2.0

Probability theory and stochastic processes Proof

Proof that moments are derivatives of the moment-generating function at zero

Builds on Moment-generating functionMomentExpected valueLinearity of expectationPower series of the exponential functionPower seriesRadius of convergencePower series are differentiable inside the radius of convergence

Proof

We expand etXe^{tX} in the exponential series, bound the tail, and then differentiate the resulting power series.

  1. Let XX be a real random variable and let h>0h > 0 with MX(t)=E[etX]<∞M_X(t) = E[e^{tX}] < \infty for all t∈(−h,h)t \in (-h, h). Here MXM_X is the moment-generating function.
  2. We use two properties of the expected value. If 0≤U≤W0 \le U \le W then E[U]≤E[W]E[U] \le E[W]. If YY is integrable then ∣E[Y]∣≤E[∣Y∣]\abs{E[Y]} \le E[\abs{Y}].
  3. Let 0≤s<h0 \le s < h. One of esXe^{sX} and e−sXe^{-sX} equals es∣X∣e^{s\abs{X}}, and the other is positive. So es∣X∣≤esX+e−sXe^{s\abs{X}} \le e^{sX} + e^{-sX}.
  4. By steps 2 and 3, E[es∣X∣]≤MX(s)+MX(−s)<∞E[e^{s\abs{X}}] \le M_X(s) + M_X(-s) < \infty.
  5. Fix k≥0k \ge 0 and s∈(0,h)s \in (0, h). By the exponential series, whose terms are nonnegative for a nonnegative argument, es∣x∣≥(s∣x∣)k/k!e^{s\abs{x}} \ge (s\abs{x})^k / k!.
  6. So ∣X∣k≤k! s−kes∣X∣\abs{X}^k \le k! \, s^{-k} e^{s\abs{X}}. By steps 2 and 4, E[∣X∣k]<∞E[\abs{X}^k] < \infty. Thus XX has finite moments of all orders.
  7. Fix tt with ∣t∣<h\abs{t} < h. Choose ss with ∣t∣<s<h\abs{t} < s < h, and let r=∣t∣/s∈[0,1)r = \abs{t}/s \in [0, 1).
  8. For N≥0N \ge 0 and real yy, let PN(y)=∑k=0Nyk/k!P_N(y) = \sum_{k=0}^{N} y^k / k!. By the exponential series, ∣ey−PN(y)∣≤∑k>N∣y∣k/k!\abs{e^y - P_N(y)} \le \sum_{k > N} \abs{y}^k / k!.
  9. For k≥N+1k \ge N + 1, ∣tX∣k=rk∣sX∣k≤rN+1∣sX∣k\abs{tX}^k = r^k \abs{sX}^k \le r^{N+1} \abs{sX}^k, since r<1r < 1.
  10. By steps 8 and 9, ∣etX−PN(tX)∣≤rN+1∑k>N∣sX∣k/k!≤rN+1es∣X∣\abs{e^{tX} - P_N(tX)} \le r^{N+1} \sum_{k > N} \abs{sX}^k / k! \le r^{N+1} e^{s\abs{X}}.
  11. By step 6 and linearity of expectation, PN(tX)P_N(tX) is integrable and E[PN(tX)]=∑k=0NE[Xk] tk/k!E[P_N(tX)] = \sum_{k=0}^{N} E[X^k] \, t^k / k!.
  12. The variable etXe^{tX} is integrable, since MX(t)<∞M_X(t) < \infty. By steps 2, 10 and 11, ∣MX(t)−∑k=0NE[Xk]k!tk∣≤rN+1E[es∣X∣].\abs{M_X(t) - \sum_{k=0}^{N} \frac{E[X^k]}{k!} t^k} \le r^{N+1} E[e^{s\abs{X}}].
  13. By step 4, the right side is a finite constant times rN+1r^{N+1}, which tends to 00 as N→∞N \to \infty.
  14. So MX(t)=∑k=0∞E[Xk] tk/k!M_X(t) = \sum_{k=0}^{\infty} E[X^k] \, t^k / k! for every t∈(−h,h)t \in (-h, h).
  15. Let ak=E[Xk]/k!a_k = E[X^k]/k!. The power series ∑aktk\sum a_k t^k converges at each t∈(−h,h)t \in (-h, h). So its terms aktka_k t^k are bounded for each such tt.
  16. By the definition of the radius of convergence, the radius of ∑aktk\sum a_k t^k is at least ∣t∣\abs{t} for each t∈(−h,h)t \in (-h, h). So it is at least hh.
  17. Power series are differentiable inside the radius of convergence, and the derived series has the same radius. By induction on jj, MXM_X is jj times differentiable on (−h,h)(-h, h) for each jj.
  18. The same induction gives, for ∣t∣<h\abs{t} < h, MX(j)(t)=∑k=j∞k!(k−j)! aktk−j.M_X^{(j)}(t) = \sum_{k=j}^{\infty} \frac{k!}{(k - j)!} \, a_k t^{k-j}.
  19. At t=0t = 0, only the term k=jk = j survives. So MX(j)(0)=j! aj=E[Xj]M_X^{(j)}(0) = j! \, a_j = E[X^j] for each integer j≥0j \ge 0.
  20. Together with step 6 and step 14, this proves all claims.

Idea

Near 00 the variable es∣X∣e^{s\abs{X}} is integrable, and it dominates every power ∣X∣k\abs{X}^k and every tail of the series of etXe^{tX} for ∣t∣<s\abs{t} < s. So the expectation can be taken term by term. Then MXM_X is a power series with coefficients E[Xk]/k!E[X^k]/k!, and its derivatives at 00 read off these coefficients.

Reading path

To understand this page from the ground up, read these 269 pages in order. The foundations come first. The path takes the proofs Proof of the Cauchy–Hadamard theorem, Proof of the Weierstrass M-test, Proof of the limit of a sum of sequences, Proof of Rolle's theorem, Proof of the approximation property of the supremum, Proof that every sequence has a monotone subsequence, by peaks, Proof of the formula for the derivative of a polynomial, Proof of the commutativity of addition by induction, Proof of term-by-term differentiation, Proof of the epsilon-delta form of continuity, Proof of the power rule by induction, Proof that absolutely convergent series converge, Proof of the sum of a finite geometric series, Proof that convergent sequences are Cauchy, Proof that there is a natural number n with 1/n below any positive epsilon, Proof of the chain rule with an auxiliary difference quotient, Proof of the Cauchy criterion for series, Proof of the Cauchy criterion for sequences by the Bolzano–Weierstrass theorem, Proof that the exponential series has infinite radius of convergence, Proof that the reals form an ordered field, with the Cauchy sequence construction, Proof of the root test, Proof of the double negation law by a truth table, Proof that power series converge uniformly on smaller intervals inside the radius of convergence, Proof of the extreme value theorem by the Bolzano–Weierstrass theorem, Proof of the uniqueness of limits, Proof of strong induction from ordinary induction, Proof that power series are differentiable inside the radius of convergence, Proof of the limit of a product of sequences, Proof that uniform convergence of derivatives allows term-by-term differentiation, Proof that the absolute value is multiplicative, Proof of the squeeze theorem for sequences, Proof of Pascal's rule from the recursive definition, Proof of the linearity of differentiation, Proof of the sequential characterization of limits, Proof that Cauchy sequences are bounded, Proof of the triangle inequality for real numbers, Proof of the epsilon-N definition of the limit of a sequence, Proof of the comparison test, Proof of Fermat's theorem on stationary points, Proof that limits preserve non-strict inequalities, Proof of the factorial formula for binomial coefficients by induction, Proof of the binomial theorem by induction, Proof that exponentials dominate powers in sequences, by the ratio of consecutive terms, Proof that differentiable functions are continuous, Proof of the epsilon-delta form of the limit of a function, Proof of the well-ordering principle from strong induction, Proof of the Bolzano–Weierstrass theorem by a monotone subsequence, Proof of the Archimedean property in an Archimedean ordered field, Proof that a composition of continuous functions is continuous, Proof of the exponential of a sum by the Cauchy product, Proof that a decreasing sequence bounded below converges, Proof of the term test, Proof that the exponential function is its own derivative, by term-by-term differentiation, Proof that the reals are Archimedean from the completeness axiom, Proof of the ratio test, Proof of the power series of the exponential function, Proof that convergent sequences are bounded, Proof of the product rule, Proof of the monotone convergence theorem for sequences, Proof that continuity is equivalent to sequential continuity, Proof of the boundedness theorem by Bolzano–Weierstrass, Proof of the ratio formula for the radius of convergence, Proof that a series of nonnegative terms converges iff its partial sums are bounded, Proof of the mean value theorem from Rolle's theorem, Proof that the Cauchy product of absolutely convergent series converges absolutely to the product, Proof of the constant multiple rule.

  1. Binomial coefficient definition
  2. Construction of the reals from Cauchy sequences concept
  3. Definition by recursion concept
  4. Element definition
  5. Factorial definition
  6. Group concept
  7. Integers object
  8. Limit point of a set definition
  9. Local maximum definition
  10. Mathematical induction concept
  11. Natural numbers object
  12. Ordered field definition
  13. Peano axioms concept
  14. Proposition concept
  15. Random experiment concept
  16. Rational numbers object
  17. Real numbers object
  18. Sequence definition
  19. Set bounded above definition
  20. Proof of Pascal's rule from the recursive definition proof
  21. Set definition
  22. Ring definition
  23. Ring of integers statement
  24. Limit of a function definition
  25. Local minimum definition
  26. Archimedean ordered field definition
  27. Successor function definition
  28. Conjunction definition
  29. Disjunction definition
  30. Implication definition
  31. Negation definition
  32. Predicate definition
  33. The reals form a field statement
  34. Real sequence definition
  35. Subsequence definition
  36. Infimum definition
  37. Supremum definition
  38. Pascal's rule statement
  39. Ordered pair definition
  40. Commutative ring definition
  41. Continuity at a point definition
  42. Derivative definition
  43. One-sided limit definition
  44. Union definition
  45. Addition of natural numbers definition
  46. Sample space definition
  47. Proof of the Archimedean property in an Archimedean ordered field proof
  48. Biconditional definition
  49. The rationals form a field statement
  50. The successor function is injective statement
  51. Truth table concept
  52. Zero is not a successor statement
  53. Modus ponens concept
  54. Existential quantifier definition
  55. Universal quantifier definition
  56. Bounded sequence definition
  57. Cauchy sequence definition
  58. Geometric sequence definition
  59. Limit of a sequence definition
  60. Monotone sequence definition
  61. Sequence tending to infinity definition
  62. Series definition
  63. Completeness axiom statement
  64. Cartesian product definition
  65. Proof of the factorial formula for binomial coefficients by induction proof
  66. Continuous function definition
  67. Differentiable function definition
  68. One-sided derivative definition
  69. Archimedean property statement
  70. Proof of the commutativity of addition by induction proof
  71. Subset definition
  72. Order on the natural numbers definition
  73. Propositional logic concept
  74. The rationals form an ordered field statement
  75. Mathematical proof concept
  76. Uniqueness quantifier definition
  77. Limit superior definition
  78. Proof of the sum of a finite geometric series proof
  79. Convergent sequence definition
  80. Pointwise convergence definition
  81. Sequential continuity definition
  82. The sequence r^n tends to infinity for r > 1 example
  83. Cauchy product definition
  84. Partial sum definition
  85. Power series definition
  86. Factorial formula for binomial coefficients statement
  87. Proof that a composition of continuous functions is continuous proof
  88. Binary relation definition
  89. Derivative function definition
  90. Universal set definition
  91. Order on the reals definition
  92. Power set definition
  93. Commutativity of addition statement
  94. Proof of strong induction from ordinary induction proof
  95. Tautology definition
  96. Uniform convergence definition
  97. Sum of a finite geometric series statement
  98. Radius of convergence definition
  99. Convergent series definition
  100. Proof of the binomial theorem by induction proof
  101. Antisymmetric relation definition
  102. Reflexive relation definition
  103. Transitive relation definition
  104. Higher derivative definition
  105. Complement definition
  106. Interval definition
  107. Function definition
  108. Strong induction statement
  109. Uniform convergence on a set definition
  110. Logical equivalence definition
  111. Sum of a series definition
  112. Series of functions definition
  113. Absolute convergence definition
  114. Binomial theorem statement
  115. Preorder definition
  116. Continuously differentiable function definition
  117. Taylor polynomial definition
  118. Proof of the epsilon-delta form of continuity proof
  119. Sigma-algebra definition
  120. Proof of the epsilon-delta form of the limit of a function proof
  121. Injective function definition
  122. Preimage of a set definition
  123. Proof of the well-ordering principle from strong induction proof
  124. Proof of the double negation law by a truth table proof
  125. Partial order definition
  126. Smooth function definition
  127. Epsilon-delta definition of continuity statement
  128. Epsilon-delta definition of a limit statement
  129. Event definition
  130. Countable set definition
  131. Well-ordering principle statement
  132. Borel sigma-algebra definition
  133. Double negation law statement
  134. Total order definition
  135. Composition of continuous functions is continuous statement
  136. Probability axioms concept
  137. Taylor series definition
  138. Proof by contradiction concept
  139. Proof that every sequence has a monotone subsequence, by peaks proof
  140. Maclaurin series definition
  141. Probability measure definition
  142. Proof that the reals form an ordered field, with the Cauchy sequence construction proof
  143. Every sequence has a monotone subsequence statement
  144. Probability distribution definition
  145. Probability space definition
  146. The reals form an ordered field statement
  147. Absolute value definition
  148. Random variable definition
  149. Proof of the approximation property of the supremum proof
  150. Cumulative distribution function definition
  151. Law of a random variable definition
  152. Proof of the triangle inequality for real numbers proof
  153. Proof that the absolute value is multiplicative proof
  154. Discrete random variable definition
  155. Random variable with a density definition
  156. Proof of the epsilon-N definition of the limit of a sequence proof
  157. Approximation property of the supremum statement
  158. Triangle inequality statement
  159. Absolute value is multiplicative statement
  160. Probability density function definition
  161. Probability mass function definition
  162. Expected value definition
  163. Proof that the reals are Archimedean from the completeness axiom proof
  164. Epsilon-N definition of the limit of a sequence statement
  165. Law of the unconscious statistician statement
  166. Proof that differentiable functions are continuous proof
  167. Proof of the limit of a sum of sequences proof
  168. Proof of the squeeze theorem for sequences proof
  169. Proof of the uniqueness of limits proof
  170. Proof that limits preserve non-strict inequalities proof
  171. Linearity of expectation statement
  172. The reals are Archimedean statement
  173. Proof that convergent sequences are bounded proof
  174. Proof that convergent sequences are Cauchy proof
  175. Proof that Cauchy sequences are bounded proof
  176. Proof of the term test proof
  177. The sequence 1/n tends to zero example
  178. Proof of the monotone convergence theorem for sequences proof
  179. Moment definition
  180. Differentiable functions are continuous statement
  181. Proof that there is a natural number n with 1/n below any positive epsilon proof
  182. Limit of a sum of sequences statement
  183. Uniqueness of limits statement
  184. Proof of the ratio formula for the radius of convergence proof
  185. Limits preserve non-strict inequalities statement
  186. Convergent sequences are bounded statement
  187. Squeeze theorem statement
  188. Convergent sequences are Cauchy statement
  189. Cauchy sequences are bounded statement
  190. Monotone convergence theorem for sequences statement
  191. Moment-generating function definition
  192. Proof of the limit of a product of sequences proof
  193. There is a natural number n with 1/n below any positive epsilon statement
  194. Term test statement
  195. Proof that a series of nonnegative terms converges iff its partial sums are bounded proof
  196. Proof that a decreasing sequence bounded below converges proof
  197. The sequence r^n tends to zero for |r| < 1 example
  198. Proof of the sequential characterization of limits proof
  199. Decreasing sequence bounded below converges statement
  200. Proof that continuity is equivalent to sequential continuity proof
  201. Limit of a product of sequences statement
  202. A series of nonnegative terms converges iff its partial sums are bounded statement
  203. Geometric series example
  204. Continuity is equivalent to sequential continuity statement
  205. Sequential characterization of limits statement
  206. Proof that the Cauchy product of absolutely convergent series converges absolutely to the product proof
  207. Proof of the root test proof
  208. Proof of the Cauchy–Hadamard theorem proof
  209. Proof that exponentials dominate powers in sequences, by the ratio of consecutive terms proof
  210. Proof of the ratio test proof
  211. Proof of the Bolzano–Weierstrass theorem by a monotone subsequence proof
  212. Proof of the comparison test proof
  213. Proof of the chain rule with an auxiliary difference quotient proof
  214. Proof of the product rule proof
  215. Proof of the linearity of differentiation proof
  216. Comparison test statement
  217. Cauchy product of absolutely convergent series statement
  218. Bolzano–Weierstrass theorem statement
  219. Exponentials dominate powers in sequences statement
  220. Chain rule statement
  221. Product rule statement
  222. Linearity of differentiation statement
  223. Ratio test statement
  224. Root test statement
  225. Proof of the boundedness theorem by Bolzano–Weierstrass proof
  226. Proof of the Cauchy criterion for sequences by the Bolzano–Weierstrass theorem proof
  227. Proof of the constant multiple rule proof
  228. Proof of the power rule by induction proof
  229. Boundedness theorem statement
  230. Ratio formula for the radius of convergence statement
  231. Cauchy–Hadamard theorem statement
  232. Cauchy criterion for sequences statement
  233. Constant multiple rule statement
  234. Power rule statement
  235. Proof of the extreme value theorem by the Bolzano–Weierstrass theorem proof
  236. Uniformly Cauchy sequence of functions definition
  237. Proof of the Cauchy criterion for series proof
  238. Extreme value theorem statement
  239. Proof of the formula for the derivative of a polynomial proof
  240. Proof of Fermat's theorem on stationary points proof
  241. Cauchy criterion for series statement
  242. Derivative of a polynomial statement
  243. Fermat's theorem on stationary points statement
  244. Proof that absolutely convergent series converge proof
  245. Proof of Rolle's theorem proof
  246. Absolutely convergent series converge statement
  247. Rolle's theorem statement
  248. Proof of the Weierstrass M-test proof
  249. Proof of the mean value theorem from Rolle's theorem proof
  250. Weierstrass M-test statement
  251. Mean value theorem statement
  252. Proof that power series converge uniformly on smaller intervals inside the radius of convergence proof
  253. Proof that uniform convergence of derivatives allows term-by-term differentiation proof
  254. Power series converge uniformly on smaller discs inside the radius of convergence statement
  255. Uniform convergence of derivatives allows term-by-term differentiation statement
  256. Proof that the exponential series has infinite radius of convergence proof
  257. The exponential series has infinite radius of convergence statement
  258. Proof of term-by-term differentiation proof
  259. Term-by-term differentiation statement
  260. Exponential function definition
  261. Proof of the exponential of a sum by the Cauchy product proof
  262. Proof that power series are differentiable inside the radius of convergence proof
  263. Exponential of a sum statement
  264. Power series are differentiable inside the radius of convergence statement
  265. Proof that the exponential function is its own derivative, by term-by-term differentiation proof
  266. The exponential function is its own derivative statement
  267. Proof of the power series of the exponential function proof
  268. Power series of the exponential function statement
  269. Proof that moments are derivatives of the moment-generating function at zero proof

Where this leads

2 pages build on this one.

Further reading

  1. Web https://en.wikipedia.org/wiki/Moment-generating_function, Calculations of moments
About this page
TagFMBDQVCX9T
URIm2://FMBDQVCX9T
Kindproof
WritingW0 stub
MSC60E10
ProvesMoments are derivatives of the moment-generating function at zero
UsesMoment-generating function, Moment, Expected value, Linearity of expectation, Power series of the exponential function, Power series, Radius of convergence, Power series are differentiable inside the radius of convergence
Changed4 November 2026

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