Math 2.0

Probability theory and stochastic processes Proof

Proof of the mean of the Poisson distribution

Builds on Poisson distributionProbability mass functionLaw of a random variableExpected valueLaw of the unconscious statisticianIntegral of a non-negative functionLebesgue integralSimple functionPower series of the exponential functionExponential of a sum

Proof

We first express E[X]E[X] as a series, then shift the index and recognise the exponential series.

  1. Let λ>0\lambda > 0, S={0,1,2,… }S = \set{0, 1, 2, \dots} and p(k)=e−λλk/k!p(k) = e^{-\lambda} \lambda^k / k! for k∈Sk \in S.
  2. Let μ\mu be the law of XX. Since XX has the Poisson distribution, μ(B)=∑k∈B∩Sp(k)\mu(B) = \sum_{k \in B \cap S} p(k) for each Borel set B⊆ℝB \subseteq \R. In particular μ({k})=p(k)\mu(\set{k}) = p(k) for k∈Sk \in S.
  3. Let h ⁣:ℝ→[0,∞)h \colon \R \to [0, \infty) be Borel measurable. We show ∫ℝh dμ=∑k∈Sh(k) p(k)\int_\R h \, d\mu = \sum_{k \in S} h(k) \, p(k) in [0,∞][0, \infty], using the integral of a non-negative function.
  4. Let s=∑i=1mai𝟏Ais = \sum_{i=1}^{m} a_i \mathbf{1}_{A_i} be a simple function with 0≤s≤h0 \le s \le h, ai≥0a_i \ge 0 and pairwise disjoint Borel sets AiA_i. By step 2, ∫s dμ=∑iai∑k∈Ai∩Sp(k)\int s \, d\mu = \sum_{i} a_i \sum_{k \in A_i \cap S} p(k).
  5. Each k∈Sk \in S lies in at most one AiA_i, and s(k)=ais(k) = a_i when k∈Aik \in A_i. All terms are nonnegative, so the sum in step 4 equals ∑k∈Ss(k) p(k)≤∑k∈Sh(k) p(k)\sum_{k \in S} s(k) \, p(k) \le \sum_{k \in S} h(k) \, p(k).
  6. Taking the supremum over all such ss gives ∫h dμ≤∑k∈Sh(k) p(k)\int h \, d\mu \le \sum_{k \in S} h(k) \, p(k).
  7. For each NN, the function sN=∑k=0Nh(k)𝟏{k}s_N = \sum_{k=0}^{N} h(k) \mathbf{1}_{\set{k}} is simple with 0≤sN≤h0 \le s_N \le h. So ∑k=0Nh(k) p(k)=∫sN dμ≤∫h dμ\sum_{k=0}^{N} h(k) \, p(k) = \int s_N \, d\mu \le \int h \, d\mu.
  8. Letting N→∞N \to \infty in step 7 gives ∑k∈Sh(k) p(k)≤∫h dμ\sum_{k \in S} h(k) \, p(k) \le \int h \, d\mu. With step 6, equality holds.
  9. We compute ∑k∈Sk p(k)\sum_{k \in S} k \, p(k). The term with k=0k = 0 is zero. For k≥1k \ge 1, k λk/k!=λ⋅λk−1/(k−1)!k \, \lambda^k / k! = \lambda \cdot \lambda^{k-1} / (k-1)!.
  10. So for each N≥1N \ge 1, ∑k=0Nk p(k)=λe−λ∑j=0N−1λj/j!\sum_{k=0}^{N} k \, p(k) = \lambda e^{-\lambda} \sum_{j=0}^{N-1} \lambda^j / j!, with j=k−1j = k - 1.
  11. By the power series of the exponential function, the right side tends to λe−λeλ\lambda e^{-\lambda} e^{\lambda} as N→∞N \to \infty. By the exponential of a sum, e−λeλ=e0=1e^{-\lambda} e^{\lambda} = e^0 = 1. So ∑k∈Sk p(k)=λ\sum_{k \in S} k \, p(k) = \lambda.
  12. Step 3 with h(x)=∣x∣h(x) = \abs{x} and step 11 give ∫∣x∣ μ(dx)=λ<∞\int \abs{x} \, \mu(dx) = \lambda < \infty.
  13. By the law of the unconscious statistician with g(x)=xg(x) = x, XX is integrable and E[X]=∫ℝx μ(dx)E[X] = \int_\R x \, \mu(dx).
  14. By the definition of the Lebesgue integral, ∫x μ(dx)=∫x+ μ(dx)−∫x− μ(dx)\int x \, \mu(dx) = \int x^+ \, \mu(dx) - \int x^- \, \mu(dx), with x+=max⁡(x,0)x^+ = \max(x, 0) and x−=max⁡(−x,0)x^- = \max(-x, 0).
  15. On SS we have x+=xx^+ = x and x−=0x^- = 0. Step 3 gives ∫x+ dμ=∑k∈Sk p(k)\int x^+ \, d\mu = \sum_{k \in S} k \, p(k) and ∫x− dμ=0\int x^- \, d\mu = 0.
  16. Hence E[X]=∑k=0∞k e−λλk/k!=λE[X] = \sum_{k=0}^{\infty} k \, e^{-\lambda} \lambda^k / k! = \lambda, by step 11.

Idea

The expectation of a variable on {0,1,2,… }\set{0, 1, 2, \dots} is the weighted sum ∑kk p(k)\sum_k k \, p(k). The factor kk cancels against k!k! and leaves (k−1)!(k-1)!. After a shift of index, the sum is λe−λ\lambda e^{-\lambda} times the exponential series for eλe^{\lambda}.

Reading path

To understand this page from the ground up, read these 275 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. Extended real number line object
  6. Factorial definition
  7. Group concept
  8. Integers object
  9. Integrable function concept
  10. Integral of a non-negative function concept
  11. Limit point of a set definition
  12. Local maximum definition
  13. Mathematical induction concept
  14. Measurable function concept
  15. Measure space concept
  16. Natural numbers object
  17. Ordered field definition
  18. Peano axioms concept
  19. Proposition concept
  20. Random experiment concept
  21. Rational numbers object
  22. Real numbers object
  23. Sequence definition
  24. Set bounded above definition
  25. Simple function concept
  26. Proof of Pascal's rule from the recursive definition proof
  27. Set definition
  28. Ring definition
  29. Ring of integers statement
  30. Lebesgue integral definition
  31. Limit of a function definition
  32. Local minimum definition
  33. Archimedean ordered field definition
  34. Successor function definition
  35. Conjunction definition
  36. Disjunction definition
  37. Implication definition
  38. Negation definition
  39. Predicate definition
  40. The reals form a field statement
  41. Real sequence definition
  42. Subsequence definition
  43. Infimum definition
  44. Supremum definition
  45. Pascal's rule statement
  46. Ordered pair definition
  47. Commutative ring definition
  48. Union definition
  49. Continuity at a point definition
  50. Derivative definition
  51. One-sided limit definition
  52. Addition of natural numbers definition
  53. Biconditional definition
  54. Sample space definition
  55. Truth table concept
  56. Modus ponens concept
  57. Proof of the Archimedean property in an Archimedean ordered field proof
  58. The rationals form a field statement
  59. The successor function is injective statement
  60. Zero is not a successor statement
  61. Existential quantifier definition
  62. Universal quantifier definition
  63. Integral of a non-negative function definition
  64. Bounded sequence definition
  65. Cauchy sequence definition
  66. Geometric sequence definition
  67. Limit of a sequence definition
  68. Monotone sequence definition
  69. Sequence tending to infinity definition
  70. Series definition
  71. Completeness axiom statement
  72. Cartesian product definition
  73. Proof of the factorial formula for binomial coefficients by induction proof
  74. Continuous function definition
  75. Differentiable function definition
  76. One-sided derivative definition
  77. Subset definition
  78. Proof of the commutativity of addition by induction proof
  79. Archimedean property statement
  80. Mathematical proof concept
  81. Order on the natural numbers definition
  82. Propositional logic concept
  83. The rationals form an ordered field statement
  84. Uniqueness quantifier definition
  85. Limit superior definition
  86. Proof of the sum of a finite geometric series proof
  87. Convergent sequence definition
  88. Pointwise convergence definition
  89. Sequential continuity definition
  90. The sequence r^n tends to infinity for r > 1 example
  91. Cauchy product definition
  92. Partial sum definition
  93. Power series definition
  94. Factorial formula for binomial coefficients statement
  95. Binary relation definition
  96. Proof that a composition of continuous functions is continuous proof
  97. Universal set definition
  98. Derivative function definition
  99. Power set definition
  100. Order on the reals definition
  101. Commutativity of addition statement
  102. Tautology definition
  103. Proof of strong induction from ordinary induction proof
  104. Uniform convergence definition
  105. Sum of a finite geometric series statement
  106. Convergent series definition
  107. Radius of convergence definition
  108. Proof of the binomial theorem by induction proof
  109. Antisymmetric relation definition
  110. Reflexive relation definition
  111. Transitive relation definition
  112. Complement definition
  113. Higher derivative definition
  114. Interval definition
  115. Function definition
  116. Logical equivalence definition
  117. Strong induction statement
  118. Uniform convergence on a set definition
  119. Sum of a series definition
  120. Series of functions definition
  121. Absolute convergence definition
  122. Binomial theorem statement
  123. Preorder definition
  124. Sigma-algebra definition
  125. Continuously differentiable function definition
  126. Proof of the epsilon-delta form of continuity proof
  127. Taylor polynomial definition
  128. Proof of the epsilon-delta form of the limit of a function proof
  129. Preimage of a set definition
  130. Injective function definition
  131. Proof of the well-ordering principle from strong induction proof
  132. Proof of the double negation law by a truth table proof
  133. Partial order definition
  134. Smooth function definition
  135. Epsilon-delta definition of continuity statement
  136. Event definition
  137. Epsilon-delta definition of a limit statement
  138. Countable set definition
  139. Borel sigma-algebra definition
  140. Double negation law statement
  141. Well-ordering principle statement
  142. Total order definition
  143. Composition of continuous functions is continuous statement
  144. Probability axioms concept
  145. Proof by contradiction concept
  146. Taylor series definition
  147. Proof that every sequence has a monotone subsequence, by peaks proof
  148. Probability measure definition
  149. Maclaurin series definition
  150. Proof that the reals form an ordered field, with the Cauchy sequence construction proof
  151. Every sequence has a monotone subsequence statement
  152. Probability distribution definition
  153. Probability space definition
  154. The reals form an ordered field statement
  155. Absolute value definition
  156. Random variable definition
  157. Proof of the approximation property of the supremum proof
  158. Cumulative distribution function definition
  159. Law of a random variable definition
  160. Proof of the triangle inequality for real numbers proof
  161. Proof that the absolute value is multiplicative proof
  162. Discrete random variable definition
  163. Random variable with a density definition
  164. Proof of the epsilon-N definition of the limit of a sequence proof
  165. Approximation property of the supremum statement
  166. Triangle inequality statement
  167. Absolute value is multiplicative statement
  168. Probability density function definition
  169. Probability mass function definition
  170. Expected value definition
  171. Proof that the reals are Archimedean from the completeness axiom proof
  172. Epsilon-N definition of the limit of a sequence statement
  173. Law of the unconscious statistician statement
  174. Proof of the limit of a sum of sequences proof
  175. Proof of the squeeze theorem for sequences proof
  176. Proof of the uniqueness of limits proof
  177. Proof that differentiable functions are continuous proof
  178. Proof that limits preserve non-strict inequalities proof
  179. Poisson distribution definition
  180. Proof that convergent sequences are bounded proof
  181. The reals are Archimedean statement
  182. Proof that convergent sequences are Cauchy proof
  183. Proof of the term test proof
  184. Proof that Cauchy sequences are bounded proof
  185. The sequence 1/n tends to zero example
  186. Proof of the monotone convergence theorem for sequences proof
  187. Differentiable functions are continuous statement
  188. Proof that there is a natural number n with 1/n below any positive epsilon proof
  189. Limit of a sum of sequences statement
  190. Uniqueness of limits statement
  191. Limits preserve non-strict inequalities statement
  192. Proof of the ratio formula for the radius of convergence proof
  193. Convergent sequences are bounded statement
  194. Squeeze theorem statement
  195. Convergent sequences are Cauchy statement
  196. Cauchy sequences are bounded statement
  197. Monotone convergence theorem for sequences statement
  198. Proof of the limit of a product of sequences proof
  199. There is a natural number n with 1/n below any positive epsilon statement
  200. Term test statement
  201. Proof that a series of nonnegative terms converges iff its partial sums are bounded proof
  202. Proof that a decreasing sequence bounded below converges proof
  203. The sequence r^n tends to zero for |r| < 1 example
  204. Decreasing sequence bounded below converges statement
  205. Proof of the sequential characterization of limits proof
  206. Proof that continuity is equivalent to sequential continuity proof
  207. Limit of a product of sequences statement
  208. A series of nonnegative terms converges iff its partial sums are bounded statement
  209. Geometric series example
  210. Continuity is equivalent to sequential continuity statement
  211. Proof that the Cauchy product of absolutely convergent series converges absolutely to the product proof
  212. Sequential characterization of limits statement
  213. Proof of the root test proof
  214. Proof of the Cauchy–Hadamard theorem proof
  215. Proof of the ratio test proof
  216. Proof that exponentials dominate powers in sequences, by the ratio of consecutive terms proof
  217. Proof of the Bolzano–Weierstrass theorem by a monotone subsequence proof
  218. Proof of the comparison test proof
  219. Proof of the chain rule with an auxiliary difference quotient proof
  220. Proof of the product rule proof
  221. Proof of the linearity of differentiation proof
  222. Comparison test statement
  223. Cauchy product of absolutely convergent series statement
  224. Bolzano–Weierstrass theorem statement
  225. Exponentials dominate powers in sequences statement
  226. Chain rule statement
  227. Product rule statement
  228. Linearity of differentiation statement
  229. Ratio test statement
  230. Root test statement
  231. Proof of the boundedness theorem by Bolzano–Weierstrass proof
  232. Proof of the Cauchy criterion for sequences by the Bolzano–Weierstrass theorem proof
  233. Proof of the constant multiple rule proof
  234. Proof of the power rule by induction proof
  235. Boundedness theorem statement
  236. Ratio formula for the radius of convergence statement
  237. Cauchy–Hadamard theorem statement
  238. Cauchy criterion for sequences statement
  239. Constant multiple rule statement
  240. Power rule statement
  241. Proof of the extreme value theorem by the Bolzano–Weierstrass theorem proof
  242. Uniformly Cauchy sequence of functions definition
  243. Proof of the Cauchy criterion for series proof
  244. Extreme value theorem statement
  245. Proof of the formula for the derivative of a polynomial proof
  246. Proof of Fermat's theorem on stationary points proof
  247. Cauchy criterion for series statement
  248. Derivative of a polynomial statement
  249. Proof that absolutely convergent series converge proof
  250. Fermat's theorem on stationary points statement
  251. Proof of Rolle's theorem proof
  252. Absolutely convergent series converge statement
  253. Rolle's theorem statement
  254. Proof of the Weierstrass M-test proof
  255. Proof of the mean value theorem from Rolle's theorem proof
  256. Weierstrass M-test statement
  257. Mean value theorem statement
  258. Proof that power series converge uniformly on smaller intervals inside the radius of convergence proof
  259. Proof that uniform convergence of derivatives allows term-by-term differentiation proof
  260. Power series converge uniformly on smaller discs inside the radius of convergence statement
  261. Uniform convergence of derivatives allows term-by-term differentiation statement
  262. Proof that the exponential series has infinite radius of convergence proof
  263. The exponential series has infinite radius of convergence statement
  264. Proof of term-by-term differentiation proof
  265. Term-by-term differentiation statement
  266. Exponential function definition
  267. Proof of the exponential of a sum by the Cauchy product proof
  268. Proof that power series are differentiable inside the radius of convergence proof
  269. Exponential of a sum statement
  270. Power series are differentiable inside the radius of convergence statement
  271. Proof that the exponential function is its own derivative, by term-by-term differentiation proof
  272. The exponential function is its own derivative statement
  273. Proof of the power series of the exponential function proof
  274. Power series of the exponential function statement
  275. Proof of the mean of the Poisson distribution proof

Where this leads

1 page builds on this one.

Further reading

  1. Web https://proofwiki.org/wiki/Expectation_of_Poisson_Distribution
About this page
TagRP8X5R1AGX
URIm2://RP8X5R1AGX
Kindproof
WritingW0 stub
MSC60E05
ProvesMean of the Poisson distribution
UsesPoisson distribution, Probability mass function, Law of a random variable, Expected value, Law of the unconscious statistician, Integral of a non-negative function, Lebesgue integral, Simple function, Power series of the exponential function, Exponential of a sum
Changed4 November 2026

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