Math 2.0

Probability theory and stochastic processes Proof

Proof of the formula for the mean of the normal distribution

Builds on Normal distributionDensity of the normal distributionProbability density functionLaw of the unconscious statisticianExpected valueIntegration by substitutionSecond fundamental theorem of calculusChain ruleThe exponential function is its own derivativeImproper integral

Proof

We substitute x=μ+σzx = \mu + \sigma z and use that zφ(z)z \varphi(z) is an odd function.

  1. Let μ∈ℝ\mu \in \R, σ2>0\sigma^2 > 0, and σ=σ2>0\sigma = \sqrt{\sigma^2} > 0. Let XX have the normal distribution 𝒩(μ,σ2)\mathcal{N}(\mu, \sigma^2).
  2. Let f=φμ,σ2f = \varphi_{\mu, \sigma^2} and φ=φ0,1\varphi = \varphi_{0,1} be the normal densities. By definition, ff is a probability density function of XX.
  3. By the law of the unconscious statistician, XX is integrable if ∫ℝ∣x∣f(x) dx<∞\int_{\R} \abs{x} f(x) \, dx < \infty. In that case E[X]=∫ℝxf(x) dxE[X] = \int_{\R} x f(x) \, dx.
  4. For a continuous function h≥0h \ge 0 on ℝ\R, the integral ∫ℝh dx\int_\R h \, dx is the limit of ∫abh dx\int_{a}^{b} h \, dx as a→−∞a \to -\infty and b→∞b \to \infty. So we may compute with improper integrals.
  5. For all real zz, σf(μ+σz)=φ(z)\sigma f(\mu + \sigma z) = \varphi(z). So, for continuous gg and R>0R > 0, substitution with x=μ+σzx = \mu + \sigma z gives ∫μ−σRμ+σRg(x)f(x) dx=∫−RRg(μ+σz) φ(z) dz.\int_{\mu - \sigma R}^{\mu + \sigma R} g(x) f(x) \, dx = \int_{-R}^{R} g(\mu + \sigma z) \, \varphi(z) \, dz.
  6. By the chain rule and the derivative of the exponential function, the function −φ-\varphi has derivative zφ(z)z \varphi(z).
  7. By the fundamental theorem of calculus, ∫0Rzφ(z) dz=φ(0)−φ(R)≤φ(0)=1/2π\int_0^R z \varphi(z) \, dz = \varphi(0) - \varphi(R) \le \varphi(0) = 1/\sqrt{2\pi}.
  8. The function ∣z∣φ(z)\abs{z} \varphi(z) is even. So ∫−RR∣z∣φ(z) dz=2∫0Rzφ(z) dz≤2/2π\int_{-R}^{R} \abs{z} \varphi(z) \, dz = 2 \int_0^R z \varphi(z) \, dz \le 2/\sqrt{2\pi}.
  9. Since φ\varphi is the density of 𝒩(0,1)\mathcal{N}(0, 1), its integral over ℝ\R is 11. So ∫−RRφ(z) dz≤1\int_{-R}^R \varphi(z) \, dz \le 1.
  10. By step 5 with g(x)=∣x∣g(x) = \abs{x} and ∣μ+σz∣≤∣μ∣+σ∣z∣\abs{\mu + \sigma z} \le \abs{\mu} + \sigma \abs{z}, we get ∫μ−σRμ+σR∣x∣f(x) dx≤∣μ∣+2σ/2π\int_{\mu - \sigma R}^{\mu + \sigma R} \abs{x} f(x) \, dx \le \abs{\mu} + 2\sigma/\sqrt{2\pi}.
  11. This bound does not depend on RR. By steps 3 and 4, ∫ℝ∣x∣f(x) dx<∞\int_\R \abs{x} f(x) \, dx < \infty, so XX is integrable.
  12. Write xf(x)x f(x) as the difference of its positive part and its negative part. Both parts are continuous, nonnegative and at most ∣x∣f(x)\abs{x} f(x).
  13. Applying step 4 to each part gives E[X]=lim⁡R→∞∫μ−σRμ+σRxf(x) dxE[X] = \lim_{R \to \infty} \int_{\mu - \sigma R}^{\mu + \sigma R} x f(x) \, dx.
  14. By step 5 with g(x)=xg(x) = x, the integral in step 13 equals μ∫−RRφ(z) dz+σ∫−RRzφ(z) dz\mu \int_{-R}^{R} \varphi(z) \, dz + \sigma \int_{-R}^{R} z \varphi(z) \, dz.
  15. The function zφ(z)z \varphi(z) is odd. Substituting z=−uz = -u on [−R,0][-R, 0] shows that ∫−R0zφ(z) dz=−∫0Ruφ(u) du\int_{-R}^{0} z \varphi(z) \, dz = -\int_0^R u \varphi(u) \, du. So ∫−RRzφ(z) dz=0\int_{-R}^{R} z \varphi(z) \, dz = 0.
  16. As R→∞R \to \infty, ∫−RRφ(z) dz→1\int_{-R}^{R} \varphi(z) \, dz \to 1 by step 9.
  17. By steps 13 to 16, the expected value is E[X]=μ⋅1+σ⋅0=μE[X] = \mu \cdot 1 + \sigma \cdot 0 = \mu. This is the stated integral.

Idea

The substitution x=μ+σzx = \mu + \sigma z reduces everything to the standard normal density φ\varphi. The integral of φ\varphi is 11, and the integral of zφ(z)z \varphi(z) is 00 because the function is odd. What is left is μ\mu.

Reading path

To understand this page from the ground up, read these 311 pages in order. The foundations come first. The path takes the proofs Proof that Darboux and Riemann integrals agree, 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 of the reverse triangle inequality, Proof that the exponential series has infinite radius of convergence, Proof that continuous functions on a closed bounded interval are uniformly continuous, 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 that Lipschitz functions are uniformly continuous, Proof that the integral of a continuous function is an antiderivative, 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 mean value theorem for integrals, Proof of Riemann's criterion for integrability, 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 first fundamental theorem of calculus, Proof of the comparison test, Proof of Fermat's theorem on stationary points, Proof that limits preserve non-strict inequalities, Proof of the linearity of the integral, Proof of the factorial formula for binomial coefficients by induction, Proof of integration by substitution, Proof of the second fundamental theorem of calculus, Proof of the intermediate value theorem by the supremum, 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 of the additivity of the integral over intervals, 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 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 monotonicity of the integral, 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 that sums and products of continuous functions are continuous, Proof that continuous functions are Riemann integrable, 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. Lipschitz continuity definition
  10. Local maximum definition
  11. Mathematical induction concept
  12. Natural numbers object
  13. Ordered field definition
  14. Partition of an interval definition
  15. Peano axioms concept
  16. Proposition concept
  17. Random experiment concept
  18. Rational numbers object
  19. Real numbers object
  20. Sequence definition
  21. Set bounded above definition
  22. Proof of Pascal's rule from the recursive definition proof
  23. Set definition
  24. Ring definition
  25. Ring of integers statement
  26. Limit of a function definition
  27. Local minimum definition
  28. Archimedean ordered field definition
  29. Successor function definition
  30. Mesh of a partition definition
  31. Refinement of a partition definition
  32. Riemann sum definition
  33. Conjunction definition
  34. Disjunction definition
  35. Implication definition
  36. Negation definition
  37. Predicate definition
  38. The reals form a field statement
  39. Real sequence definition
  40. Subsequence definition
  41. Infimum definition
  42. Supremum definition
  43. Pascal's rule statement
  44. Ordered pair definition
  45. Commutative ring definition
  46. Continuity at a point definition
  47. Derivative definition
  48. Limit at infinity definition
  49. One-sided limit definition
  50. Union definition
  51. Addition of natural numbers definition
  52. Sample space definition
  53. Proof of the Archimedean property in an Archimedean ordered field proof
  54. Riemann integrable function definition
  55. The rationals form a field statement
  56. The successor function is injective statement
  57. Zero is not a successor statement
  58. Biconditional definition
  59. Truth table concept
  60. Modus ponens concept
  61. Existential quantifier definition
  62. Universal quantifier definition
  63. Bounded sequence definition
  64. Cauchy sequence definition
  65. Geometric sequence definition
  66. Limit of a sequence definition
  67. Monotone sequence definition
  68. Sequence tending to infinity definition
  69. Series definition
  70. Completeness axiom statement
  71. Cartesian product definition
  72. Proof of the factorial formula for binomial coefficients by induction proof
  73. Continuous function definition
  74. Antiderivative definition
  75. Differentiable function definition
  76. One-sided derivative definition
  77. Archimedean property statement
  78. Proof of the commutativity of addition by induction proof
  79. Subset definition
  80. Order on the natural numbers definition
  81. Riemann integral definition
  82. The rationals form an ordered field statement
  83. Propositional logic concept
  84. Upper and lower Darboux sums definition
  85. Mathematical proof concept
  86. Uniqueness quantifier definition
  87. Limit superior definition
  88. Proof of the sum of a finite geometric series proof
  89. Convergent sequence definition
  90. Pointwise convergence definition
  91. Sequential continuity definition
  92. The sequence r^n tends to infinity for r > 1 example
  93. Cauchy product definition
  94. Partial sum definition
  95. Power series definition
  96. Factorial formula for binomial coefficients statement
  97. Proof that a composition of continuous functions is continuous proof
  98. Binary relation definition
  99. Derivative function definition
  100. Universal set definition
  101. Order on the reals definition
  102. Improper integral definition
  103. Power set definition
  104. Commutativity of addition statement
  105. Definite integral definition
  106. Proof of strong induction from ordinary induction proof
  107. Upper and lower Darboux integrals definition
  108. Tautology definition
  109. Uniform convergence definition
  110. Sum of a finite geometric series statement
  111. Radius of convergence definition
  112. Convergent series definition
  113. Proof of the binomial theorem by induction proof
  114. Antisymmetric relation definition
  115. Reflexive relation definition
  116. Transitive relation definition
  117. Higher derivative definition
  118. Complement definition
  119. Interval definition
  120. Function definition
  121. Strong induction statement
  122. Uniform convergence on a set definition
  123. Logical equivalence definition
  124. Series of functions definition
  125. Sum of a series definition
  126. Absolute convergence definition
  127. Binomial theorem statement
  128. Preorder definition
  129. Continuously differentiable function definition
  130. Proof of the epsilon-delta form of continuity proof
  131. Proof of the epsilon-delta form of the limit of a function proof
  132. Sigma-algebra definition
  133. Injective function definition
  134. Indicator function definition
  135. Preimage of a set definition
  136. Proof of the well-ordering principle from strong induction proof
  137. Proof of the double negation law by a truth table proof
  138. Partial order definition
  139. Epsilon-delta definition of continuity statement
  140. Epsilon-delta definition of a limit statement
  141. Countable set definition
  142. Event definition
  143. Well-ordering principle statement
  144. Borel sigma-algebra definition
  145. Double negation law statement
  146. Total order definition
  147. Uniform continuity definition
  148. Composition of continuous functions is continuous statement
  149. Probability axioms concept
  150. Proof by contradiction concept
  151. Proof that every sequence has a monotone subsequence, by peaks proof
  152. Uniform continuity on a set definition
  153. Proof that Lipschitz functions are uniformly continuous proof
  154. Probability measure definition
  155. Proof that the reals form an ordered field, with the Cauchy sequence construction proof
  156. Every sequence has a monotone subsequence statement
  157. Lipschitz functions are uniformly continuous statement
  158. Probability distribution definition
  159. Dirac measure definition
  160. Probability space definition
  161. The reals form an ordered field statement
  162. Absolute value definition
  163. Random variable definition
  164. Proof of the approximation property of the supremum proof
  165. Cumulative distribution function definition
  166. Law of a random variable definition
  167. Discrete random variable definition
  168. Proof of the triangle inequality for real numbers proof
  169. Proof that the absolute value is multiplicative proof
  170. Random variable with a density definition
  171. Proof of the epsilon-N definition of the limit of a sequence proof
  172. Approximation property of the supremum statement
  173. Probability mass function definition
  174. Triangle inequality statement
  175. Absolute value is multiplicative statement
  176. Probability density function definition
  177. Expected value definition
  178. Proof of the intermediate value theorem by the supremum proof
  179. Proof that the reals are Archimedean from the completeness axiom proof
  180. Epsilon-N definition of the limit of a sequence statement
  181. Proof of the reverse triangle inequality proof
  182. Law of the unconscious statistician statement
  183. Proof that differentiable functions are continuous proof
  184. Density of the normal distribution definition
  185. Intermediate value theorem statement
  186. Proof of the squeeze theorem for sequences proof
  187. Proof that limits preserve non-strict inequalities proof
  188. Proof of the limit of a sum of sequences proof
  189. Proof of the uniqueness of limits proof
  190. Proof of the linearity of the integral proof
  191. The reals are Archimedean statement
  192. Proof that convergent sequences are bounded proof
  193. Proof that convergent sequences are Cauchy proof
  194. Proof that Cauchy sequences are bounded proof
  195. Proof of the term test proof
  196. The sequence 1/n tends to zero example
  197. Proof of the monotone convergence theorem for sequences proof
  198. Reverse triangle inequality statement
  199. Normal distribution definition
  200. Differentiable functions are continuous statement
  201. Proof that there is a natural number n with 1/n below any positive epsilon proof
  202. Linearity of the integral statement
  203. Proof of the monotonicity of the integral proof
  204. Limits preserve non-strict inequalities statement
  205. Proof that Darboux and Riemann integrals agree proof
  206. Limit of a sum of sequences statement
  207. Proof of the ratio formula for the radius of convergence proof
  208. Uniqueness of limits statement
  209. Convergent sequences are bounded statement
  210. Squeeze theorem statement
  211. Convergent sequences are Cauchy statement
  212. Cauchy sequences are bounded statement
  213. Monotone convergence theorem for sequences statement
  214. Proof of the limit of a product of sequences proof
  215. There is a natural number n with 1/n below any positive epsilon statement
  216. Monotonicity of the integral statement
  217. Darboux and Riemann integrals agree statement
  218. Term test statement
  219. Proof that a series of nonnegative terms converges iff its partial sums are bounded proof
  220. Proof that a decreasing sequence bounded below converges proof
  221. The sequence r^n tends to zero for |r| < 1 example
  222. Proof of the sequential characterization of limits proof
  223. Proof that continuity is equivalent to sequential continuity proof
  224. Decreasing sequence bounded below converges statement
  225. Limit of a product of sequences statement
  226. Proof of Riemann's criterion for integrability proof
  227. Geometric series example
  228. A series of nonnegative terms converges iff its partial sums are bounded statement
  229. Continuity is equivalent to sequential continuity statement
  230. Riemann's criterion for integrability statement
  231. Sequential characterization of limits statement
  232. Proof that the Cauchy product of absolutely convergent series converges absolutely to the product proof
  233. Proof of the root test proof
  234. Proof of the Cauchy–Hadamard theorem proof
  235. Proof of the ratio test proof
  236. Proof that exponentials dominate powers in sequences, by the ratio of consecutive terms proof
  237. Proof of the Bolzano–Weierstrass theorem by a monotone subsequence proof
  238. Proof of the comparison test proof
  239. Proof of the chain rule with an auxiliary difference quotient proof
  240. Proof of the product rule proof
  241. Proof of the linearity of differentiation proof
  242. Proof that sums and products of continuous functions are continuous proof
  243. Comparison test statement
  244. Proof of the additivity of the integral over intervals proof
  245. Cauchy product of absolutely convergent series statement
  246. Bolzano–Weierstrass theorem statement
  247. Exponentials dominate powers in sequences statement
  248. Chain rule statement
  249. Product of continuous functions is continuous statement
  250. Product rule statement
  251. Linearity of differentiation statement
  252. Proof that continuous functions on a closed bounded interval are uniformly continuous proof
  253. Additivity of the integral over intervals statement
  254. Ratio test statement
  255. Root test statement
  256. Proof of the boundedness theorem by Bolzano–Weierstrass proof
  257. Proof of the Cauchy criterion for sequences by the Bolzano–Weierstrass theorem proof
  258. Proof of the constant multiple rule proof
  259. Proof of the power rule by induction proof
  260. Continuous functions on a closed bounded interval are uniformly continuous statement
  261. Boundedness theorem statement
  262. Proof of the first fundamental theorem of calculus proof
  263. Ratio formula for the radius of convergence statement
  264. Cauchy–Hadamard theorem statement
  265. Cauchy criterion for sequences statement
  266. Constant multiple rule statement
  267. Power rule statement
  268. Proof of the extreme value theorem by the Bolzano–Weierstrass theorem proof
  269. Uniformly Cauchy sequence of functions definition
  270. Proof of the Cauchy criterion for series proof
  271. Extreme value theorem statement
  272. Proof of the formula for the derivative of a polynomial proof
  273. Proof of Fermat's theorem on stationary points proof
  274. Cauchy criterion for series statement
  275. Derivative of a polynomial statement
  276. Proof that continuous functions are Riemann integrable proof
  277. Fermat's theorem on stationary points statement
  278. Proof that absolutely convergent series converge proof
  279. Continuous functions are Riemann integrable statement
  280. Proof of Rolle's theorem proof
  281. Absolutely convergent series converge statement
  282. Rolle's theorem statement
  283. Proof of the mean value theorem for integrals proof
  284. Proof of the Weierstrass M-test proof
  285. Proof of the mean value theorem from Rolle's theorem proof
  286. Mean value theorem for integrals statement
  287. Weierstrass M-test statement
  288. Mean value theorem statement
  289. First fundamental theorem of calculus statement
  290. Proof that power series converge uniformly on smaller intervals inside the radius of convergence proof
  291. Proof that the integral of a continuous function is an antiderivative proof
  292. Proof that uniform convergence of derivatives allows term-by-term differentiation proof
  293. Proof of the second fundamental theorem of calculus proof
  294. Power series converge uniformly on smaller discs inside the radius of convergence statement
  295. The integral of a continuous function is an antiderivative statement
  296. Uniform convergence of derivatives allows term-by-term differentiation statement
  297. Second fundamental theorem of calculus statement
  298. Proof that the exponential series has infinite radius of convergence proof
  299. Proof of integration by substitution proof
  300. Proof of term-by-term differentiation proof
  301. The exponential series has infinite radius of convergence statement
  302. Integration by substitution statement
  303. Term-by-term differentiation statement
  304. Exponential function definition
  305. Proof of the exponential of a sum by the Cauchy product proof
  306. Proof that power series are differentiable inside the radius of convergence proof
  307. Exponential of a sum statement
  308. Power series are differentiable inside the radius of convergence statement
  309. Proof that the exponential function is its own derivative, by term-by-term differentiation proof
  310. The exponential function is its own derivative statement
  311. Proof of the formula for the mean of the normal distribution proof

Where this leads

3 pages build on this one.

Further reading

  1. Web https://en.wikipedia.org/wiki/Normal_distribution, Moments
About this page
Tag39VH4PBYYT
URIm2://39VH4PBYYT
Kindproof
WritingW0 stub
MSC60E05
ProvesMean of the normal distribution
UsesNormal distribution, Density of the normal distribution, Probability density function, Law of the unconscious statistician, Expected value, Integration by substitution, Second fundamental theorem of calculus, Chain rule, The exponential function is its own derivative, Improper integral
Changed4 November 2026

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