Math 2.0

Real functions Proof

Proof of the mean value theorem in several variables

Builds on Differentiable function of several variablesGradientChain rule for a composition with a curveMean value theoremLinear maps on finite-dimensional spaces are continuousBounded linear maps are continuousComposition of continuous maps is continuousTriangle inequality for norms

Proof

We restrict ff to the segment from xx to yy and apply the one-variable mean value theorem.

  1. Let UU, ff, xx and yy be as in the statement. Define γ(t)=x+t(y−x)\gamma(t) = x + t (y - x) for t∈[0,1]t \in [0, 1]. By hypothesis, γ(t)∈U\gamma(t) \in U for each t∈[0,1]t \in [0, 1].
  2. Let z∈Uz \in U. By linear maps on finite-dimensional spaces are continuous and bounded linear maps are continuous, there is C≥0C \ge 0 with ∣Df(z)h∣≤C∥h∥|Df(z) h| \le C \|h\| for each hh.
  3. Since ff is differentiable at zz, there is δ>0\delta > 0 with ∣f(z+h)−f(z)−Df(z)h∣≤∥h∥|f(z + h) - f(z) - Df(z) h| \le \|h\| for ∥h∥<δ\|h\| < \delta and z+h∈Uz + h \in U. By the triangle inequality, ∣f(z+h)−f(z)∣≤(C+1)∥h∥|f(z + h) - f(z)| \le (C + 1) \|h\| for these hh. So ff is continuous at zz.
  4. Put g(t)=f(γ(t))g(t) = f(\gamma(t)) for t∈[0,1]t \in [0, 1]. Since ∥γ(t)−γ(t′)∥=∣t−t′∣ ∥y−x∥\|\gamma(t) - \gamma(t')\| = |t - t'| \, \|y - x\|, the map γ\gamma is continuous. By step 3, gg is a composition of continuous maps. So gg is continuous on [0,1][0, 1].
  5. For t∈(0,1)t \in (0, 1) and small s≠0s \ne 0, (γ(t+s)−γ(t))/s=y−x(\gamma(t + s) - \gamma(t)) / s = y - x. So γ\gamma is differentiable on (0,1)(0, 1) with γ′(t)=y−x\gamma'(t) = y - x.
  6. By the chain rule for a composition with a curve on the open interval (0,1)(0, 1), gg is differentiable at each t∈(0,1)t \in (0, 1), with g′(t)=Df(γ(t))(y−x)g'(t) = Df(\gamma(t))(y - x).
  7. By the definition of the gradient, g′(t)=∇f(γ(t))⋅(y−x)g'(t) = \nabla f(\gamma(t)) \cdot (y - x) for t∈(0,1)t \in (0, 1).
  8. By the mean value theorem for gg on [0,1][0, 1], there is c∈(0,1)c \in (0, 1) with g(1)−g(0)=g′(c)g(1) - g(0) = g'(c).
  9. Since g(1)=f(y)g(1) = f(y) and g(0)=f(x)g(0) = f(x), steps 7 and 8 give f(y)−f(x)=∇f(x+c(y−x))⋅(y−x)f(y) - f(x) = \nabla f\big(x + c (y - x)\big) \cdot (y - x).

Idea

Along the straight segment from xx to yy, the function ff becomes a function gg of one variable tt. The one-variable mean value theorem gives a point where the slope of gg is its average slope. The chain rule identifies that slope with the gradient dotted with the direction y−xy - x.

Reading path

To understand this page from the ground up, read these 294 pages in order. The foundations come first. The path takes the proofs 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 that open sets are the sets that are neighbourhoods of all their points, Proof of the commutativity of addition by induction, Proof of the Lebesgue number lemma by a finite cover of balls, Proof of the epsilon-delta form of continuity, Proof of the triangle inequality for norms, Proof of the Heine–Borel theorem by sequential compactness, Proof that there is a natural number n with 1/n below any positive epsilon, Proof of the chain rule in several variables, Proof of the derivative as a little-o approximation, Proof that a linear map between normed spaces is continuous if and only if it is bounded, Proof that a function is bijective iff it has a two-sided inverse, Proof that the reals form an ordered field, with the Cauchy sequence construction, Proof of continuity via closed sets, Proof of the double negation law by a truth table, Proof of the extreme value theorem by the Bolzano–Weierstrass theorem, Proof that compact subsets of a metric space are bounded, Proof that compactness and sequential compactness agree in metric spaces, Proof that subsequences of a convergent sequence converge to the same limit, Proof of the uniqueness of limits, Proof that the coordinate map is a linear isomorphism, Proof of strong induction from ordinary induction, Proof that linear maps on finite-dimensional normed spaces are continuous, Proof of the limit of a product of sequences, Proof that the absolute value is multiplicative, Proof of the squeeze theorem for sequences, Proof of the existence of square roots of nonnegative reals, Proof of the chain rule for a composition with a curve, Proof of the linearity of differentiation, Proof that a continuous image of a compact set is compact, Proof that compact subsets of a Hausdorff space are closed, Proof that the composition of continuous maps is continuous, Proof of epsilon-delta continuity at a point in metric spaces, Proof of the sequential characterization of limits, Proof of the description of the open sets of a metric space, Proof of the triangle inequality for real numbers, Proof of the epsilon-N definition of the limit of a sequence, Proof that compactness of a subset can be tested with open sets of the ambient space, Proof of the existence of the infimum by negation, Proof of the equivalence of norms in finite dimension by compactness of the unit sphere, Proof that every spanning set contains a basis, by Zorn's lemma, Proof of Fermat's theorem on stationary points, Proof that limits preserve non-strict inequalities, Proof that closed sets contain their limits, Proof of Zorn's lemma, Proof that metric spaces are Hausdorff, Proof of the sequence characterisation of uniform continuity, 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 continuous real function on a compact set attains its bounds, Proof that a decreasing sequence bounded below converges, Proof that the reals are Archimedean from the completeness axiom, Proof that convergent sequences are bounded, Proof of the monotone convergence theorem for sequences, Proof that continuity is equivalent to sequential continuity, Proof that open balls are open, Proof of the boundedness theorem by Bolzano–Weierstrass, Proof that Lipschitz maps are uniformly continuous, Proof that a set is open if and only if its complement is closed, Proof of the mean value theorem from Rolle's theorem, Proof of continuity via open sets in metric spaces, Proof of the constant multiple rule.

  1. Basis concept
  2. Complex numbers object
  3. Construction of the reals from Cauchy sequences concept
  4. Coordinate space object
  5. Coordinate vector concept
  6. Definition by recursion concept
  7. Element definition
  8. Euclidean metric example
  9. Euclidean space object
  10. Extended real number line object
  11. Function concept
  12. Function composition concept
  13. Integers object
  14. Limit point of a set definition
  15. Linear isomorphism concept
  16. Linear map concept
  17. Local maximum definition
  18. Mathematical induction concept
  19. Natural numbers object
  20. Norm concept
  21. Ordered field definition
  22. Peano axioms concept
  23. Proof of Zorn's lemma proof
  24. Proposition concept
  25. Rational numbers object
  26. Real numbers object
  27. Sequence definition
  28. Set bounded above definition
  29. Vector space definition
  30. p-metric on R^n example
  31. Real and imaginary parts definition
  32. Set definition
  33. Fréchet derivative definition
  34. Total derivative concept
  35. Function of several variables concept
  36. Vector-valued function concept
  37. Ring of integers statement
  38. Limit of a function definition
  39. Local minimum definition
  40. Successor function definition
  41. Archimedean ordered field definition
  42. Conjunction definition
  43. Disjunction definition
  44. Implication definition
  45. Negation definition
  46. Predicate definition
  47. The reals form a field statement
  48. Real sequence definition
  49. Subsequence definition
  50. Infimum definition
  51. Supremum definition
  52. Linear combination definition
  53. Linear map definition
  54. Linear subspace definition
  55. Norm definition
  56. p-norm on R^n example
  57. Empty set object
  58. Family of sets definition
  59. Ordered pair definition
  60. Differentiable function of several variables concept
  61. Partial derivative concept
  62. Intersection definition
  63. Limit of a function of several variables concept
  64. Union definition
  65. Parametrised curve concept
  66. Continuity at a point definition
  67. Derivative definition
  68. Addition of natural numbers definition
  69. Biconditional definition
  70. Truth table concept
  71. Modus ponens concept
  72. Existential quantifier definition
  73. Proof of the Archimedean property in an Archimedean ordered field proof
  74. The rationals form a field statement
  75. The successor function is injective statement
  76. Universal quantifier definition
  77. Zero is not a successor statement
  78. Bounded sequence definition
  79. Limit of a sequence definition
  80. Monotone sequence definition
  81. Linear independence definition
  82. Composition of linear maps definition
  83. Linear isomorphism definition
  84. Linear span definition
  85. Completeness axiom statement
  86. Normed vector space definition
  87. Cartesian product definition
  88. Gradient concept
  89. Differentiable function of several variables definition
  90. Union of a family of sets definition
  91. Continuous function definition
  92. Subset definition
  93. Differentiable function definition
  94. Proof of the commutativity of addition by induction proof
  95. Archimedean property statement
  96. Mathematical proof concept
  97. Propositional logic concept
  98. Order on the natural numbers definition
  99. Proof of the derivative as a little-o approximation proof
  100. Uniqueness quantifier definition
  101. The rationals form an ordered field statement
  102. Convergent sequence definition
  103. Sequential continuity definition
  104. Spanning set definition
  105. Binary relation definition
  106. Universal set definition
  107. Topological space definition
  108. Gradient definition
  109. Derivative as a little-o approximation statement
  110. Order on the reals definition
  111. Tautology definition
  112. Commutativity of addition statement
  113. Proof of strong induction from ordinary induction proof
  114. Finite-dimensional vector space definition
  115. Basis definition
  116. Antisymmetric relation definition
  117. Reflexive relation definition
  118. Transitive relation definition
  119. Sequential compactness definition
  120. Complement definition
  121. Subspace topology definition
  122. Interval definition
  123. Function definition
  124. Coordinate vector definition
  125. Logical equivalence definition
  126. Strong induction statement
  127. Preorder definition
  128. Choice function definition
  129. Image of a set definition
  130. Preimage of a set definition
  131. Proof of the epsilon-delta form of the limit of a function proof
  132. Codomain definition
  133. Function composition definition
  134. Identity function definition
  135. Injective function definition
  136. Proof of the epsilon-delta form of continuity proof
  137. Metric space definition
  138. Proof of the well-ordering principle from strong induction proof
  139. Proof of the double negation law by a truth table proof
  140. Partial order definition
  141. Axiom of choice statement
  142. Epsilon-delta definition of a limit statement
  143. Surjective function definition
  144. Left inverse definition
  145. Right inverse definition
  146. Epsilon-delta definition of continuity statement
  147. Closed ball definition
  148. Convergence of a sequence in a metric space definition
  149. Lipschitz map definition
  150. Open ball definition
  151. Triangle inequality for a metric statement
  152. Double negation law statement
  153. Diameter of a set definition
  154. Well-ordering principle statement
  155. Maximal element definition
  156. Total order definition
  157. Upper bound definition
  158. Bijective function definition
  159. Metric topology definition
  160. Bounded set definition
  161. Proof by contradiction concept
  162. Proof that every sequence has a monotone subsequence, by peaks proof
  163. Chain definition
  164. Open set definition
  165. Proof that a function is bijective iff it has a two-sided inverse proof
  166. Proof that the reals form an ordered field, with the Cauchy sequence construction proof
  167. Every sequence has a monotone subsequence statement
  168. Hausdorff space definition
  169. Continuous map of topological spaces definition
  170. Open cover definition
  171. Proof that open sets are the sets that are neighbourhoods of all their points proof
  172. Closed set definition
  173. Bijective iff it has a two-sided inverse statement
  174. Equivalent metrics definition
  175. Zorn's lemma statement
  176. Proof of the description of the open sets of a metric space proof
  177. The reals form an ordered field statement
  178. Compact space definition
  179. Open sets characterised by neighbourhoods statement
  180. Proof that the composition of continuous maps is continuous proof
  181. Proof that a set is open if and only if its complement is closed proof
  182. Equivalent norms definition
  183. Open sets of a metric space statement
  184. Proof that the coordinate map is a linear isomorphism proof
  185. Absolute value definition
  186. Proof that every spanning set contains a basis, by Zorn's lemma proof
  187. Proof of the approximation property of the supremum proof
  188. Proof of the existence of the infimum by negation proof
  189. Proof of the existence of square roots of nonnegative reals proof
  190. Continuity at a point of a topological space definition
  191. Compact set definition
  192. Continuous linear map definition
  193. Complement of an open set is closed statement
  194. Composition of continuous maps is continuous statement
  195. Proof that closed sets contain their limits proof
  196. Proof of the triangle inequality for real numbers proof
  197. Proof that the absolute value is multiplicative proof
  198. Proof that open balls are open proof
  199. Every spanning set contains a basis statement
  200. Isomorphism with the coordinate space statement
  201. Proof of the epsilon-N definition of the limit of a sequence proof
  202. Approximation property of the supremum statement
  203. Existence of the infimum statement
  204. Existence of square roots of nonnegative reals statement
  205. Proof that compactness of a subset can be tested with open sets of the ambient space proof
  206. Proof of continuity via closed sets proof
  207. Closed sets contain their limits statement
  208. Triangle inequality statement
  209. Absolute value is multiplicative statement
  210. Open balls are open statement
  211. Square root definition
  212. Epsilon-N definition of the limit of a sequence statement
  213. Proof that the reals are Archimedean from the completeness axiom proof
  214. Compactness via open covers statement
  215. Modulus of a complex number definition
  216. Continuity via closed sets statement
  217. Proof of epsilon-delta continuity at a point in metric spaces proof
  218. Proof of the limit of a sum of sequences proof
  219. Proof of the uniqueness of limits proof
  220. Proof of continuity via open sets in metric spaces proof
  221. Proof of the Lebesgue number lemma by a finite cover of balls proof
  222. Proof that limits preserve non-strict inequalities proof
  223. Proof of the squeeze theorem for sequences proof
  224. Proof that metric spaces are Hausdorff proof
  225. Proof that convergent sequences are bounded proof
  226. The reals are Archimedean statement
  227. Proof that subsequences of a convergent sequence converge to the same limit proof
  228. Proof of the monotone convergence theorem for sequences proof
  229. Proof that compact subsets of a Hausdorff space are closed proof
  230. Proof that a continuous image of a compact set is compact proof
  231. Epsilon-delta continuity in metric spaces statement
  232. Lebesgue number lemma statement
  233. Proof that compact subsets of a metric space are bounded proof
  234. Metric spaces are Hausdorff statement
  235. Proof that compactness and sequential compactness agree in metric spaces proof
  236. Proof of the sequence characterisation of uniform continuity proof
  237. Proof of the triangle inequality for norms proof
  238. Limit of a sum of sequences statement
  239. Uniqueness of limits statement
  240. Limits preserve non-strict inequalities statement
  241. Convergent sequences are bounded statement
  242. Proof that there is a natural number n with 1/n below any positive epsilon proof
  243. Subsequences of a convergent sequence converge to the same limit statement
  244. Squeeze theorem statement
  245. Monotone convergence theorem for sequences statement
  246. Continuous image of a compact set is compact statement
  247. Compact subsets of a Hausdorff space are closed statement
  248. Compactness and sequential compactness agree in metric spaces statement
  249. Continuity via open sets statement
  250. Compact subsets of a metric space are bounded statement
  251. Proof of the limit of a product of sequences proof
  252. Epsilon-delta uniform continuity statement
  253. There is a natural number n with 1/n below any positive epsilon statement
  254. Triangle inequality for norms statement
  255. Proof that a decreasing sequence bounded below converges proof
  256. Proof that a linear map between normed spaces is continuous if and only if it is bounded proof
  257. Proof that Lipschitz maps are uniformly continuous proof
  258. Proof of the sequential characterization of limits proof
  259. Proof that continuity is equivalent to sequential continuity proof
  260. Decreasing sequence bounded below converges statement
  261. Limit of a product of sequences statement
  262. Lipschitz maps are uniformly continuous statement
  263. Continuity is equivalent to sequential continuity statement
  264. Sequential characterization of limits statement
  265. Proof of the Bolzano–Weierstrass theorem by a monotone subsequence proof
  266. Bounded linear maps are continuous statement
  267. Proof of the linearity of differentiation proof
  268. Bolzano–Weierstrass theorem statement
  269. Proof of the Heine–Borel theorem by sequential compactness proof
  270. Linearity of differentiation statement
  271. Proof of the boundedness theorem by Bolzano–Weierstrass proof
  272. Proof of the constant multiple rule proof
  273. Boundedness theorem statement
  274. Heine–Borel theorem statement
  275. Constant multiple rule statement
  276. Proof of the extreme value theorem by the Bolzano–Weierstrass theorem proof
  277. Proof that a continuous real function on a compact set attains its bounds proof
  278. Extreme value theorem statement
  279. Continuous real function on a compact set attains its bounds statement
  280. Proof of Fermat's theorem on stationary points proof
  281. Proof of the equivalence of norms in finite dimension by compactness of the unit sphere proof
  282. Fermat's theorem on stationary points statement
  283. Proof of Rolle's theorem proof
  284. Equivalence of norms in finite dimension statement
  285. Rolle's theorem statement
  286. Proof that linear maps on finite-dimensional normed spaces are continuous proof
  287. Linear maps on finite-dimensional spaces are continuous statement
  288. Proof of the mean value theorem from Rolle's theorem proof
  289. Mean value theorem statement
  290. Proof of the chain rule in several variables proof
  291. Chain rule in several variables statement
  292. Proof of the chain rule for a composition with a curve proof
  293. Chain rule for a composition with a curve statement
  294. Proof of the mean value theorem in several variables proof

Where this leads

1 page builds on this one.

Further reading

  1. Web https://en.wikipedia.org/wiki/Mean_value_theorem, Mean value theorem in several variables
About this page
TagYAXV58J8G3
URIm2://YAXV58J8G3
Kindproof
WritingW0 stub
MSC26B05
ProvesMean value theorem in several variables
UsesDifferentiable function of several variables, Gradient, Chain rule for a composition with a curve, Mean value theorem, Linear maps on finite-dimensional spaces are continuous, Bounded linear maps are continuous, Composition of continuous maps is continuous, Triangle inequality for norms
Changed4 November 2026

Markdown · JSON · Edit on GitHub

What this page needs for W1

  • an inventory row: the row of the inventory that the node accounts for (0 of 1)

The writing levels say how complete the text of a page is. They do not measure its truth.

What links here

No page links to this page yet.