Theorems

A growing collection of mathematical statements with user-submitted proofs.

Showing 161-180 of 321
  • Coordinatewise Characterization of Continuity for Euclidean Maps

    theoremthm:continuous-coordinatewise-euclidean-2026aMultivariable Calculus
    Let n,mโˆˆNn,m\in\mathbb{N}. Let EโІRnE\subseteq \mathbb{R}^n, let f=(f1,โ€ฆ,fm):Eโ†’Rmf=(f_1,\dots,f_m):E\to\mathbb{R}^m, and let aโˆˆEa\in E. Then the following are equivalent. The map ff is \reftext{def:continuous-map-at-point-euclidean-2026a}{continuous} at aa. For every index jโˆˆ{1,โ€ฆ,m}j\in\{1,\dots,m\}, the coordinate function fj:Eโ†’Rf_j:E\to\mathbb{R} is continuous at aa in the sense of \reftext{def:continuous-at-point-c54-2026b}{continuity for real-valued functions}.

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  • Finite Product Notation

    definitiondef:finite-product-notation-2026aCombinatorics
    Let nโˆˆNn\in\mathbb{N}, and let a1,โ€ฆ,anโˆˆRa_1,\dots,a_n\in\mathbb{R}. The finite product โˆi=1nai\prod_{i=1}^n a_i is defined recursively as follows. โˆi=11ai=a1.\prod_{i=1}^1 a_i=a_1. For every natural number nโ‰ฅ2n\ge 2, one sets โˆi=1nai=(โˆi=1nโˆ’1ai)an.\prod_{i=1}^n a_i=\left(\prod_{i=1}^{n-1} a_i\right)a_n.

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  • Bijection of Sets

    definitiondef:bijection-sets-2026aCombinatorics
    Let XX and YY be sets. A bijection from XX to YY is a function f:Xโ†’Yf:X\to Y with the following property: for every element yโˆˆYy\in Y there exists exactly one element xโˆˆXx\in X such that f(x)=y.f(x)=y.

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  • Sign of a Permutation

    definitiondef:sign-permutation-2026aCombinatorics
    Let rโˆˆNr\in\mathbb{N}, and let ฯƒโˆˆSr\sigma\in S_r, where SrS_r is the set from \reftext{def:permutation-initial-segment-2026a}{the permutation definition}. An inversion of ฯƒ\sigma is a pair (i,j)(i,j) such that 1โ‰คi<jโ‰คr1\le i<j\le r and ฯƒ(i)>ฯƒ(j)\sigma(i)>\sigma(j). Let N(ฯƒ)N(\sigma) denote the number of inversions of ฯƒ\sigma. The sign of ฯƒ\sigma is the number sgnโก(ฯƒ)\operatorname{sgn}(\sigma) defined by sgnโก(ฯƒ)=1\operatorname{sgn}(\sigma)=1 if N(ฯƒ)N(\sigma) is \reftext{def:even-odd-natural-numbers-2026a}{even}, and by sgnโก(ฯƒ)=โˆ’1\operatorname{sgn}(\sigma)=-1 if N(ฯƒ)N(\sigma) is \reftext{def:even-odd-natural-numbers-2026a}{odd}.

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  • Permutation of the Set {1,โ€ฆ,r}\{1,\dots,r\}

    definitiondef:permutation-initial-segment-2026aCombinatorics
    Let rโˆˆNr\in\mathbb{N}. A permutation of the set {1,โ€ฆ,r}\{1,\dots,r\} is a \reftext{def:bijection-sets-2026a}{bijection} ฯƒ:{1,โ€ฆ,r}โ†’{1,โ€ฆ,r}.\sigma:\{1,\dots,r\}\to\{1,\dots,r\}. The set of all permutations of {1,โ€ฆ,r}\{1,\dots,r\} is denoted by SrS_r.

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  • Even and Odd Natural Numbers

    definitiondef:even-odd-natural-numbers-2026aCombinatorics
    Let nโˆˆNn\in\mathbb{N}. We say that nn is even if there exists a natural number qโˆˆNq\in\mathbb{N} such that n=2q.n=2q. We say that nn is odd if there exists a natural number qโˆˆNq\in\mathbb{N} such that n=2qโˆ’1.n=2q-1.

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  • Factorial of a Natural Number

    definitiondef:factorial-natural-number-2026aCombinatorics
    Let nโˆˆNn\in\mathbb{N}. The factorial of nn is the natural number n!=โˆi=1ni,n!=\prod_{i=1}^n i, where the product is the finite product from \reftext{def:finite-product-notation-2026a}{the finite-product definition}.

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  • Matrix-Vector Product

    definitiondef:matrix-vector-product-2026aLinear Algebra
    Let m,nโˆˆNm,n\in\mathbb{N}. Let A=(Aฮฑi)A=(A_{\alpha i}) be an mร—nm\times n matrix with real entries, and let v=(v1,โ€ฆ,vn)โˆˆRnv=(v_1,\dots,v_n)\in\mathbb{R}^n. The product vector AvโˆˆRmAv\in\mathbb{R}^m is defined by (Av)ฮฑ=โˆ‘i=1nAฮฑivi(Av)_\alpha=\sum_{i=1}^n A_{\alpha i}v_i for every ฮฑโˆˆ{1,โ€ฆ,m}\alpha\in\{1,\dots,m\}.

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  • Cartesian Product of Sets

    definitiondef:cartesian-product-sets-2026aCombinatorics
    Let XX and YY be sets. Their Cartesian product is the set Xร—Y={(x,y):xโˆˆXย andย yโˆˆY}.X\times Y=\{(x,y): x\in X \text{ and } y\in Y\}.

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  • Product of Real Matrices

    definitiondef:product-real-matrices-2026aLinear Algebra
    Let m,n,pโˆˆNm,n,p\in \mathbb{N}. Let A=(Aฮฑi)A=(A_{\alpha i}) be an mร—nm\times n matrix with real entries, and let B=(Biฮฒ)B=(B_{i\beta}) be an nร—pn\times p matrix with real entries. The product matrix ABAB is the mร—pm\times p matrix whose (ฮฑ,ฮฒ)(\alpha,\beta) entry is defined by (AB)ฮฑฮฒ=โˆ‘i=1nAฮฑiBiฮฒ(AB)_{\alpha\beta}=\sum_{i=1}^n A_{\alpha i}B_{i\beta} for every ฮฑโˆˆ{1,โ€ฆ,m}\alpha\in\{1,\dots,m\} and every ฮฒโˆˆ{1,โ€ฆ,p}\beta\in\{1,\dots,p\}.

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  • Euclidean Space Rn\mathbb{R}^n

    definitiondef:euclidean-space-rn-2026aMultivariable Calculus
    Let nโˆˆNn\in \mathbb{N}. The set of all ordered nn-tuples (x1,โ€ฆ,xn)(x_1,\dots,x_n) with each xiโˆˆRx_i\in \mathbb{R} is denoted by Rn\mathbb{R}^n and is called nn-dimensional Euclidean space.

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  • Natural Numbers

    definitiondef:natural-numbers-2026aCombinatorics
    We write N={1,2,3,โ€ฆโ€‰}.\mathbb{N}=\{1,2,3,\dots\}. The elements of N\mathbb{N} are called natural numbers. We regard addition and multiplication on N\mathbb{N} as binary operations +:Nร—Nโ†’Nandโ‹…:Nร—Nโ†’N,+ : \mathbb{N}\times\mathbb{N}\to\mathbb{N} \quad\text{and}\quad \cdot : \mathbb{N}\times\mathbb{N}\to\mathbb{N}, written in infix form as (m,n)โ†ฆm+n(m,n)\mapsto m+n and (m,n)โ†ฆmn(m,n)\mapsto mn. We also regard the successor on N\mathbb{N} as a function S:Nโ†’NS:\mathbb{N}\to\mathbb{N} written in infix form as nโ†ฆS(n)n\mapsto S(n). These data are related by the following recursive identities for all m,nโˆˆNm,n\in\mathbb{N}. S(n)=n+1S(n)=n+1. m+S(n)=S(m+n)m+S(n)=S(m+n). mโ‹…1=mm\cdot 1=m. mโ‹…S(n)=mโ‹…n+mm\cdot S(n)=m\cdot n+m. We also require that 11 is not a successor and that the successor map is injective; that is, S(n)โ‰ 1forย everyย nโˆˆN,S(n)\ne 1\quad\text{for every } n\in\mathbb{N}, and S(m)=S(n)โ€…โ€ŠโŸนโ€…โ€Šm=nS(m)=S(n)\implies m=n for all m,nโˆˆNm,n\in\mathbb{N}.

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  • Chain Rule for C1C^1 Maps Between Euclidean Spaces

    theoremthm:chain-rule-c1-euclidean-2026aMultivariable Calculus
    Let n,m,pโˆˆNn,m,p\in \mathbb{N}. Let UโІRnU\subseteq \mathbb{R}^n, VโІRmV\subseteq \mathbb{R}^m, and WโІRpW\subseteq \mathbb{R}^p be \reftext{def:open-subset-euclidean-space-2026a}{open} subsets. Let f:Uโ†’Vf:U\to V and g:Vโ†’Wg:V\to W be \reftext{def:c1-map-euclidean-open-set-2026a}{C1C^1 maps}. Then the composition gโˆ˜f:Uโ†’Wg\circ f:U\to W is again of class C1C^1. Moreover, for every aโˆˆUa\in U, the Jacobian matrices from \reftext{def:differentiable-map-at-point-euclidean-2026a}{the differentiability definition} satisfy Jgโˆ˜f(a)=Jg(f(a))โ€‰Jf(a),J_{g\circ f}(a)=J_g(f(a))\,J_f(a), where the product on the right-hand side is the matrix product from \reftext{def:product-real-matrices-2026a}{the definition of matrix multiplication}.

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  • Pullback of a Differential Form by a C1C^1 Map

    definitiondef:pullback-differential-form-c1-euclidean-2026aGeometryMultivariable Calculus
    Let n,m,kโˆˆNn,m,k\in\mathbb{N}. Let UโІRnU\subseteq \mathbb{R}^n and VโІRmV\subseteq \mathbb{R}^m be \reftext{def:open-subset-euclidean-space-2026a}{open} subsets, let F:Uโ†’VF:U\to V be a \reftext{def:c1-map-euclidean-open-set-2026a}{C1C^1 map}, and let ฯ‰\omega be a \reftext{def:differential-k-form-euclidean-open-set-2026a}{differential kk-form} on VV. The pullback of ฯ‰\omega by FF is the differential kk-form Fโˆ—ฯ‰F^{*}\omega on UU defined by (Fโˆ—ฯ‰)x(v1,โ€ฆ,vk)=ฯ‰F(x)(JF(x)v1,โ€ฆ,JF(x)vk)(F^{*}\omega)_x(v_1,\dots,v_k)=\omega_{F(x)}\bigl(J_F(x)v_1,\dots,J_F(x)v_k\bigr) for every xโˆˆUx\in U and every vectors v1,โ€ฆ,vkโˆˆRnv_1,\dots,v_k\in\mathbb{R}^n, where JF(x)vrJ_F(x)v_r denotes the matrix-vector product from \reftext{def:matrix-vector-product-2026a}{the definition of matrix-vector multiplication}, applied to the Jacobian matrix appearing in \reftext{def:differentiable-map-at-point-euclidean-2026a}{the differentiability definition}.

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  • Wedge Product of Differential Forms on Euclidean Space

    definitiondef:wedge-product-differential-forms-euclidean-2026bGeometryMultivariable Calculus
    Let nโˆˆNn\in\mathbb{N} and let k,โ„“โˆˆNโˆช{0}k,\ell\in\mathbb{N}\cup\{0\}. Let UโІRnU\subseteq \mathbb{R}^n be \reftext{def:open-subset-euclidean-space-2026a}{open}. Let ฮฑ\alpha be a \reftext{def:differential-k-form-euclidean-open-set-2026a}{differential kk-form} on UU, and let ฮฒ\beta be a differential โ„“\ell-form on UU. The wedge product ฮฑโˆงฮฒ\alpha\wedge\beta is the differential (k+โ„“)(k+\ell)-form on UU defined as follows: for each xโˆˆUx\in U and each collection of vectors v1,โ€ฆ,vk+โ„“โˆˆRnv_1,\dots,v_{k+\ell}\in\mathbb{R}^n, (ฮฑโˆงฮฒ)x(v1,โ€ฆ,vk+โ„“)=1k!โ€‰โ„“!โˆ‘ฯƒโˆˆSk+โ„“sgnโก(ฯƒ)โ€‰ฮฑx(vฯƒ(1),โ€ฆ,vฯƒ(k))โ€‰ฮฒx(vฯƒ(k+1),โ€ฆ,vฯƒ(k+โ„“)),(\alpha\wedge\beta)_x(v_1,\dots,v_{k+\ell}) =\frac{1}{k!\,\ell!}\sum_{\sigma\in S_{k+\ell}} \operatorname{sgn}(\sigma)\, \alpha_x(v_{\sigma(1)},\dots,v_{\sigma(k)})\, \beta_x(v_{\sigma(k+1)},\dots,v_{\sigma(k+\ell)}), where Sk+โ„“S_{k+\ell} is the set from \reftext{def:permutation-initial-segment-2026a}{the definition of permutations}, sgnโก(ฯƒ)\operatorname{sgn}(\sigma) is the sign from \reftext{def:sign-permutation-2026a}{the sign definition}, and one uses the convention 0!=10!=1. If rโˆˆNr\in\mathbb{N} and ฯ‰1,โ€ฆ,ฯ‰r\omega_1,\dots,\omega_r are differential forms on UU such that each successive wedge product is defined, then ฯ‰1โˆงโ‹ฏโˆงฯ‰r\omega_1\wedge\cdots\wedge\omega_r means the left-associated iterated wedge product (((ฯ‰1โˆงฯ‰2)โˆงฯ‰3)โˆงโ‹ฏโ€‰)โˆงฯ‰r.(((\omega_1\wedge\omega_2)\wedge\omega_3)\wedge\cdots)\wedge\omega_r.

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  • Differential k-Form on an Open Subset of Euclidean Space

    definitiondef:differential-k-form-euclidean-open-set-2026aGeometryMultivariable Calculus
    Let nโˆˆNn\in\mathbb{N}, let UโІRnU\subseteq \mathbb{R}^n be \reftext{def:open-subset-euclidean-space-2026a}{open}, and let kโˆˆNโˆช{0}k\in\mathbb{N}\cup\{0\}. A differential kk-form on UU is an assignment ฯ‰\omega which to each point xโˆˆUx\in U assigns an \reftext{def:alternating-k-linear-form-euclidean-2026a}{alternating kk-linear form} ฯ‰x\omega_x on Rn\mathbb{R}^n. For vectors v1,โ€ฆ,vkโˆˆRnv_1,\dots,v_k\in\mathbb{R}^n, the value of ฯ‰\omega at xx on (v1,โ€ฆ,vk)(v_1,\dots,v_k) is denoted by ฯ‰x(v1,โ€ฆ,vk).\omega_x(v_1,\dots,v_k). When k=0k=0, this means exactly that a differential 00-form on UU is a real-valued function on UU.

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  • Alternating k-Linear Form on Euclidean Space

    definitiondef:alternating-k-linear-form-euclidean-2026aGeometryMultivariable Calculus
    Let n,kโˆˆNn,k\in\mathbb{N}. A function ฯ‰:(Rn)kโ†’R\omega:(\mathbb{R}^n)^k\to\mathbb{R} is called a kk-linear form on Rn\mathbb{R}^n if for each index rโˆˆ{1,โ€ฆ,k}r\in\{1,\dots,k\}, for every choice of vectors v1,โ€ฆ,vrโˆ’1,u,w,vr+1,โ€ฆ,vkโˆˆRnv_1,\dots,v_{r-1},u,w,v_{r+1},\dots,v_k\in\mathbb{R}^n, and for every scalars ฮฑ,ฮฒโˆˆR\alpha,\beta\in\mathbb{R}, one has ฯ‰(v1,โ€ฆ,vrโˆ’1,ฮฑu+ฮฒw,vr+1,โ€ฆ,vk)=ฮฑโ€‰ฯ‰(v1,โ€ฆ,vrโˆ’1,u,vr+1,โ€ฆ,vk)+ฮฒโ€‰ฯ‰(v1,โ€ฆ,vrโˆ’1,w,vr+1,โ€ฆ,vk).\omega(v_1,\dots,v_{r-1},\alpha u+\beta w,v_{r+1},\dots,v_k) =\alpha\,\omega(v_1,\dots,v_{r-1},u,v_{r+1},\dots,v_k) +\beta\,\omega(v_1,\dots,v_{r-1},w,v_{r+1},\dots,v_k). A kk-linear form ฯ‰\omega is called alternating if ฯ‰(v1,โ€ฆ,vk)=0\omega(v_1,\dots,v_k)=0 whenever vp=vqv_p=v_q for some distinct indices p,qโˆˆ{1,โ€ฆ,k}p,q\in\{1,\dots,k\}. An alternating kk-linear form on Rn\mathbb{R}^n is also called an alternating covariant kk-tensor on Rn\mathbb{R}^n.

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  • C1C^1 Map on an Open Subset of Euclidean Space

    definitiondef:c1-map-euclidean-open-set-2026aMultivariable Calculus
    Let n,mโˆˆNn,m\in\mathbb{N}. Let UโІRnU\subseteq \mathbb{R}^n be \reftext{def:open-subset-euclidean-space-2026a}{open}, and let f=(f1,โ€ฆ,fm):Uโ†’Rmf=(f_1,\dots,f_m):U\to\mathbb{R}^m. We say that ff is of class C1C^1 on UU if each coordinate function fj:Uโ†’Rf_j:U\to\mathbb{R} is \reftext{def:continuous-map-at-point-euclidean-2026a}{continuous at every point of UU}, and if for every jโˆˆ{1,โ€ฆ,m}j\in\{1,\dots,m\} and every iโˆˆ{1,โ€ฆ,n}i\in\{1,\dots,n\} the partial derivative \ref{def:partial-derivative-coordinate-map-2026a} โˆ‚fjโˆ‚xi(x)\frac{\partial f_j}{\partial x_i}(x) exists for every xโˆˆUx\in U, with the function xโ†ฆโˆ‚fjโˆ‚xi(x)x\mapsto \frac{\partial f_j}{\partial x_i}(x) from UU to R\mathbb{R} also \reftext{def:continuous-map-at-point-euclidean-2026a}{continuous at every point of UU}.

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  • Differentiability at a Point and Jacobian Matrix for Maps Between Euclidean Spaces

    definitiondef:differentiable-map-at-point-euclidean-2026aMultivariable Calculus
    Let n,mโˆˆNn,m\in\mathbb{N}. Let UโІRnU\subseteq \mathbb{R}^n be \reftext{def:open-subset-euclidean-space-2026a}{open}, let f=(f1,โ€ฆ,fm):Uโ†’Rmf=(f_1,\dots,f_m):U\to\mathbb{R}^m, and let a=(a1,โ€ฆ,an)โˆˆUa=(a_1,\dots,a_n)\in U. Suppose that for every jโˆˆ{1,โ€ฆ,m}j\in\{1,\dots,m\} and every iโˆˆ{1,โ€ฆ,n}i\in\{1,\dots,n\} the partial derivative \ref{def:partial-derivative-coordinate-map-2026a} โˆ‚fjโˆ‚xi(a)\frac{\partial f_j}{\partial x_i}(a) exists. The matrix Jf(a)=(โˆ‚fjโˆ‚xi(a))1โ‰คjโ‰คm,ย 1โ‰คiโ‰คnJ_f(a)=\left(\frac{\partial f_j}{\partial x_i}(a)\right)_{1\le j\le m,\ 1\le i\le n} is called the Jacobian matrix of ff at aa. We say that ff is differentiable at aa if for every ฮต>0\varepsilon>0 there exists ฮด>0\delta>0 with the following property: whenever h=(h1,โ€ฆ,hn)โˆˆRnh=(h_1,\dots,h_n)\in\mathbb{R}^n satisfies 0<โˆ‘i=1nhi2<ฮด20<\sum_{i=1}^n h_i^2<\delta^2 and a+hโˆˆUa+h\in U, one has โˆ‘j=1m(fj(a+h)โˆ’fj(a)โˆ’โˆ‘i=1nโˆ‚fjโˆ‚xi(a)hi)2โ‰คฮต2โˆ‘i=1nhi2.\sum_{j=1}^m \left(f_j(a+h)-f_j(a)-\sum_{i=1}^n \frac{\partial f_j}{\partial x_i}(a) h_i\right)^2 \le \varepsilon^2 \sum_{i=1}^n h_i^2.

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  • Partial Derivative of a Coordinate Function

    definitiondef:partial-derivative-coordinate-map-2026aMultivariable Calculus
    Let n,mโˆˆNn,m\in\mathbb{N}. Let UโІRnU\subseteq \mathbb{R}^n be \reftext{def:open-subset-euclidean-space-2026a}{open}, let f=(f1,โ€ฆ,fm):Uโ†’Rmf=(f_1,\dots,f_m):U\to\mathbb{R}^m, let a=(a1,โ€ฆ,an)โˆˆUa=(a_1,\dots,a_n)\in U, and fix indices iโˆˆ{1,โ€ฆ,n}i\in\{1,\dots,n\} and jโˆˆ{1,โ€ฆ,m}j\in\{1,\dots,m\}. We say that the partial derivative of the jjth coordinate function of ff with respect to the iith variable exists at aa if there exists a real number LL such that for every ฮต>0\varepsilon>0 there exists ฮด>0\delta>0 with the following property: whenever hโˆˆRh\in\mathbb{R} satisfies 0<โˆฃhโˆฃ<ฮด0<|h|<\delta, one has โˆฃfj(a1,โ€ฆ,aiโˆ’1,ai+h,ai+1,โ€ฆ,an)โˆ’fj(a1,โ€ฆ,an)hโˆ’Lโˆฃ<ฮต.\left|\frac{f_j(a_1,\dots,a_{i-1},a_i+h,a_{i+1},\dots,a_n)-f_j(a_1,\dots,a_n)}{h}-L\right|<\varepsilon. In that case LL is called the partial derivative of fjf_j with respect to xix_i at aa and is denoted by โˆ‚fjโˆ‚xi(a).\frac{\partial f_j}{\partial x_i}(a).

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