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proofwiki-17900
Combination Theorem for Continuous Mappings/Metric Space/Product Rule
:$f g$ is continuous on $M$.
By definition of continuous: :$\forall a \in M: \ds \lim_{x \mathop \to a} \map f x = \map f a$ :$\forall a \in M: \ds \lim_{x \mathop \to a} \map g x = \map g a$ Let $f$ and $g$ tend to the following limits: :$\ds \lim_{x \mathop \to a} \map f x = l$ :$\ds \lim_{x \mathop \to a} \map g x = m$ From the Product Rule for...
:$f g$ is [[Definition:Continuous Mapping (Metric Space)|continuous]] on $M$.
By definition of [[Definition:Continuous Mapping (Metric Space)|continuous]]: :$\forall a \in M: \ds \lim_{x \mathop \to a} \map f x = \map f a$ :$\forall a \in M: \ds \lim_{x \mathop \to a} \map g x = \map g a$ Let $f$ and $g$ tend to the following [[Definition:Limit of Real Function|limits]]: :$\ds \lim_{x \mathop ...
Combination Theorem for Continuous Mappings/Metric Space/Product Rule
https://proofwiki.org/wiki/Combination_Theorem_for_Continuous_Mappings/Metric_Space/Product_Rule
https://proofwiki.org/wiki/Combination_Theorem_for_Continuous_Mappings/Metric_Space/Product_Rule
[ "Combination Theorem for Continuous Mappings" ]
[ "Definition:Continuous Mapping (Metric Space)" ]
[ "Definition:Continuous Mapping (Metric Space)", "Definition:Limit of Real Function", "Combination Theorem for Limits of Functions/Real/Product Rule", "Definition:Continuous Mapping (Metric Space)", "Definition:Continuous Mapping (Metric Space)" ]
proofwiki-17901
Combination Theorem for Continuous Mappings/Metric Space/Quotient Rule
:$\dfrac f g$ is continuous on $M \setminus \set {x \in A: \map g x = 0}$. that is, on all the points $x$ of $A$ where $\map g x \ne 0$.
By definition of continuous: :$\forall a \in M: \ds \lim_{x \mathop \to a} \map f x = \map f a$ :$\forall a \in M: \ds \lim_{x \mathop \to a} \map g x = \map g a$ Let $f$ and $g$ tend to the following limits: :$\ds \lim_{x \mathop \to a} \map f x = l$ :$\ds \lim_{x \mathop \to a} \map g x = m$ From the Product Rule for...
:$\dfrac f g$ is [[Definition:Continuous Mapping (Metric Space)|continuous]] on $M \setminus \set {x \in A: \map g x = 0}$. that is, on all the points $x$ of $A$ where $\map g x \ne 0$.
By definition of [[Definition:Continuous Mapping (Metric Space)|continuous]]: :$\forall a \in M: \ds \lim_{x \mathop \to a} \map f x = \map f a$ :$\forall a \in M: \ds \lim_{x \mathop \to a} \map g x = \map g a$ Let $f$ and $g$ tend to the following [[Definition:Limit of Real Function|limits]]: :$\ds \lim_{x \mathop ...
Combination Theorem for Continuous Mappings/Metric Space/Quotient Rule
https://proofwiki.org/wiki/Combination_Theorem_for_Continuous_Mappings/Metric_Space/Quotient_Rule
https://proofwiki.org/wiki/Combination_Theorem_for_Continuous_Mappings/Metric_Space/Quotient_Rule
[ "Combination Theorem for Continuous Mappings" ]
[ "Definition:Continuous Mapping (Metric Space)" ]
[ "Definition:Continuous Mapping (Metric Space)", "Definition:Limit of Real Function", "Combination Theorem for Limits of Functions/Real/Product Rule", "Definition:Continuous Mapping (Metric Space)", "Definition:Continuous Mapping (Metric Space)" ]
proofwiki-17902
Projection from Metric Space Product with P-Product Metric is Continuous
Let $M_1 = \struct {A_1, d}$ and $M_2 = \struct {A_2, d'}$ be metric spaces. Let $\AA := A_1 \times A_2$ be the cartesian product of $A_1$ and $A_2$. Let $\MM = \struct {\AA, d_p}$ denote the metric space on $\AA$ where $d_p: \AA \to \R$ is the $p$-product metric on $\AA$: :$\map {d_p} {x, y} := \paren {\paren {\map d ...
We want to show that, for all $a \in \AA$: :$\forall \epsilon \in \R_{>0}: \exists \delta \in \R_{>0}: \forall z \in \AA: \map {d_p} {z, a} < \delta \implies \map d {\map {\pr_1} z, \map {\pr_1} a} < \epsilon$ and: :$\forall \epsilon \in \R_{>0}: \exists \delta \in \R_{>0}: \forall z \in \AA: \map {d_p} {z, a} < \delta...
Let $M_1 = \struct {A_1, d}$ and $M_2 = \struct {A_2, d'}$ be [[Definition:Metric Space|metric spaces]]. Let $\AA := A_1 \times A_2$ be the [[Definition:Cartesian Product|cartesian product]] of $A_1$ and $A_2$. Let $\MM = \struct {\AA, d_p}$ denote the [[Definition:Metric Space|metric space]] on $\AA$ where $d_p: \A...
We want to show that, for all $a \in \AA$: :$\forall \epsilon \in \R_{>0}: \exists \delta \in \R_{>0}: \forall z \in \AA: \map {d_p} {z, a} < \delta \implies \map d {\map {\pr_1} z, \map {\pr_1} a} < \epsilon$ and: :$\forall \epsilon \in \R_{>0}: \exists \delta \in \R_{>0}: \forall z \in \AA: \map {d_p} {z, a} < \delt...
Projection from Metric Space Product with P-Product Metric is Continuous
https://proofwiki.org/wiki/Projection_from_Metric_Space_Product_with_P-Product_Metric_is_Continuous
https://proofwiki.org/wiki/Projection_from_Metric_Space_Product_with_P-Product_Metric_is_Continuous
[ "Projections", "P-Product Metrics", "Continuous Mappings on Metric Spaces" ]
[ "Definition:Metric Space", "Definition:Cartesian Product", "Definition:Metric Space", "Definition:P-Product Metric", "Definition:Projection (Mapping Theory)/First Projection", "Definition:Projection (Mapping Theory)/Second Projection", "Definition:Continuous Mapping (Metric Space)" ]
[ "Definition:Continuous Mapping (Metric Space)", "Category:Projections", "Category:P-Product Metrics", "Category:Continuous Mappings on Metric Spaces" ]
proofwiki-17903
Canonical Injection into Metric Space Product with P-Product Metric is Continuous
Let $M_1 = \struct {A_1, d}$ and $M_2 = \struct {A_2, d'}$ be metric spaces. Let $\AA := A_1 \times A_2$ be the cartesian product of $A_1$ and $A_2$. Let $\MM = \struct {\AA, d_p}$ denote the metric space on $\AA$ where $d_p: \AA \to \R$ is one of the $p$-product metrics on $\AA$: :$\map {d_p} {x, y} := \begin {cases} ...
Let $\pr_1: \MM \to M_1$ and $\pr_2: \MM \to T_2$ be the first and second projections from $\MM$ onto its factors. From Projection from Metric Space Product with P-Product Metric is Continuous, both $\pr_1$ and $\pr_2$ are continuous The result follows from Continuous Mapping to Product Space. {{qed}}
Let $M_1 = \struct {A_1, d}$ and $M_2 = \struct {A_2, d'}$ be [[Definition:Metric Space|metric spaces]]. Let $\AA := A_1 \times A_2$ be the [[Definition:Cartesian Product|cartesian product]] of $A_1$ and $A_2$. Let $\MM = \struct {\AA, d_p}$ denote the [[Definition:Metric Space|metric space]] on $\AA$ where $d_p: \A...
Let $\pr_1: \MM \to M_1$ and $\pr_2: \MM \to T_2$ be the [[Definition:Projection (Mapping Theory)|first and second projections]] from $\MM$ onto its [[Definition:Factor Space|factors]]. From [[Projection from Metric Space Product with P-Product Metric is Continuous]], both $\pr_1$ and $\pr_2$ are [[Definition:Continuo...
Canonical Injection into Metric Space Product with P-Product Metric is Continuous/Proof 1
https://proofwiki.org/wiki/Canonical_Injection_into_Metric_Space_Product_with_P-Product_Metric_is_Continuous
https://proofwiki.org/wiki/Canonical_Injection_into_Metric_Space_Product_with_P-Product_Metric_is_Continuous/Proof_1
[ "P-Product Metrics", "Canonical Injections", "Continuous Mappings on Metric Spaces", "Canonical Injection into Metric Space Product with P-Product Metric is Continuous" ]
[ "Definition:Metric Space", "Definition:Cartesian Product", "Definition:Metric Space", "Definition:P-Product Metric", "Definition:Mapping", "Definition:Mapping", "Definition:Continuous Mapping (Metric Space)" ]
[ "Definition:Projection (Mapping Theory)", "Definition:Product Topology/Factor Space", "Projection from Metric Space Product with P-Product Metric is Continuous", "Definition:Continuous Mapping (Metric Space)", "Continuous Mapping to Product Space" ]
proofwiki-17904
Metric is Continous Mapping
Let $M = \struct {A, d}$ be a metric space. Consider the distance function: :$d: A \times A \to \R$ Then $\R$ is a continuous function.
Let $\epsilon > 0$. Let $\tuple {x_1, x_2} \in A \times A$. Let $\delta = \dfrac \epsilon 2$. Then $U = \map {B_\delta} {x_1} \times \map {B_\delta} {x_2}$ is a neighborhood of $\tuple {x_1, x_2}$ in $X \times X$ such that: :$d \sqbrk U \subseteq \openint {\map d {x_1, x_2} - \epsilon} {\map d {x_1, x_2} + \epsilon}$ T...
Let $M = \struct {A, d}$ be a [[Definition:Metric Space|metric space]]. Consider the [[Definition:Distance Function|distance function]]: :$d: A \times A \to \R$ Then $\R$ is a [[Definition:Continuous Real-Valued Function|continuous function]].
Let $\epsilon > 0$. Let $\tuple {x_1, x_2} \in A \times A$. Let $\delta = \dfrac \epsilon 2$. Then $U = \map {B_\delta} {x_1} \times \map {B_\delta} {x_2}$ is a [[Definition:Neighborhood|neighborhood]] of $\tuple {x_1, x_2}$ in $X \times X$ such that: :$d \sqbrk U \subseteq \openint {\map d {x_1, x_2} - \epsilon} {\...
Metric is Continous Mapping
https://proofwiki.org/wiki/Metric_is_Continous_Mapping
https://proofwiki.org/wiki/Metric_is_Continous_Mapping
[ "Metric Spaces", "Continuous Mappings" ]
[ "Definition:Metric Space", "Definition:Distance Function", "Definition:Continuous Real-Valued Vector Function" ]
[ "Definition:Neighborhood", "Definition:Continuous Real-Valued Vector Function", "Category:Metric Spaces", "Category:Continuous Mappings" ]
proofwiki-17905
Taxicab Metric on Metric Space Product is Continuous
Let $M = \struct {A, d}$ be a metric space. Let $\AA$ be the Cartesian product $A \times A$. Let $d_1$ be the taxicab metric on $\AA$: :$\ds \map {d_1} {x, y} = \sum_{i \mathop = 1}^n \map {d_{i'} } {x_{i'}, y_{i'} }$ for $x = \tuple {x_1, x_2, \ldots, x_n}, y = \tuple {y_1, y_2, \ldots, y_n} \in \AA$. Then $d_1: \AA \...
Recall the definition of continuous mapping in this context. Given metric spaces $M_X = \struct {X, d_X}$ and $M_Y = \struct {Y, d_Y}$, and a mapping $f : X \to Y$, we say that $f$ is $\struct {X, d_X} \to \struct {Y, d_Y}$-continuous {{iff}}: :$\forall x_0 \in X: \forall \epsilon \in \R_{>0}: \exists \delta \in \R_{>0...
Let $M = \struct {A, d}$ be a [[Definition:Metric Space|metric space]]. Let $\AA$ be the [[Definition:Finite Cartesian Product|Cartesian product]] $A \times A$. Let $d_1$ be the [[Definition:Taxicab Metric|taxicab metric]] on $\AA$: :$\ds \map {d_1} {x, y} = \sum_{i \mathop = 1}^n \map {d_{i'} } {x_{i'}, y_{i'} }$ fo...
Recall the definition of [[Definition:Continuous Mapping (Metric Space)|continuous mapping]] in this context. Given [[Definition:Metric Space|metric spaces]] $M_X = \struct {X, d_X}$ and $M_Y = \struct {Y, d_Y}$, and a [[Definition:Mapping|mapping]] $f : X \to Y$, we say that $f$ is [[Definition:Continuous Mapping (Me...
Taxicab Metric on Metric Space Product is Continuous
https://proofwiki.org/wiki/Taxicab_Metric_on_Metric_Space_Product_is_Continuous
https://proofwiki.org/wiki/Taxicab_Metric_on_Metric_Space_Product_is_Continuous
[ "Taxicab Metric", "Continuous Mappings on Metric Spaces" ]
[ "Definition:Metric Space", "Definition:Cartesian Product/Finite", "Definition:Taxicab Metric", "Definition:Continuous Real-Valued Vector Function" ]
[ "Definition:Continuous Mapping (Metric Space)", "Definition:Metric Space", "Definition:Mapping", "Definition:Continuous Mapping (Metric Space)", "Definition:Continuous Mapping (Metric Space)" ]
proofwiki-17906
Space of Continuous on Closed Interval Real-Valued Functions with Supremum Norm forms Normed Vector Space
Let $I := \closedint a b$ be a closed real interval. The space of continuous real-valued functions on $I$ with supremum norm forms a normed vector space.
We have that: :Space of Continuous on Closed Interval Real-Valued Functions with Pointwise Addition and Pointwise Scalar Multiplication forms Vector Space :Supremum Norm is Norm/Continuous on Closed Interval Real-Valued Function By definition, $\struct {\map C I, \norm {\, \cdot \,}_\infty}$ is a normed vector space. {...
Let $I := \closedint a b$ be a [[Definition:Closed Real Interval|closed real interval]]. The [[Definition:Space of Real-Valued Functions Continuous on Closed Interval|space of continuous real-valued functions on $I$]] with [[Definition:Supremum Norm|supremum norm]] forms a [[Definition:Normed Vector Space|normed vecto...
We have that: :[[Space of Continuous on Closed Interval Real-Valued Functions with Pointwise Addition and Pointwise Scalar Multiplication forms Vector Space]] :[[Supremum Norm is Norm/Continuous on Closed Interval Real-Valued Function]] By definition, $\struct {\map C I, \norm {\, \cdot \,}_\infty}$ is a [[Definitio...
Space of Continuous on Closed Interval Real-Valued Functions with Supremum Norm forms Normed Vector Space
https://proofwiki.org/wiki/Space_of_Continuous_on_Closed_Interval_Real-Valued_Functions_with_Supremum_Norm_forms_Normed_Vector_Space
https://proofwiki.org/wiki/Space_of_Continuous_on_Closed_Interval_Real-Valued_Functions_with_Supremum_Norm_forms_Normed_Vector_Space
[ "Examples of Normed Vector Spaces" ]
[ "Definition:Real Interval/Closed", "Definition:Space of Real-Valued Functions Continuous on Closed Interval", "Definition:Supremum Norm", "Definition:Normed Vector Space" ]
[ "Space of Continuous on Closed Interval Real-Valued Functions with Pointwise Addition and Pointwise Scalar Multiplication forms Vector Space", "Supremum Norm is Norm/Continuous on Closed Interval Real-Valued Function", "Definition:Normed Vector Space" ]
proofwiki-17907
Neighborhood Filter of Point is Filter
Let $T = \struct {S, \tau}$ be a topological space. Let $x \in S$ be a point of $T$. Let $\NN_x$ denote the neighborhood filter of $x$ in $T$. Then $\NN_x$ is a filter on $S$.
By definition, $\NN_x$ is the set of all neighborhoods of $x$ in $T$. It is to be demonstrated that all the conditions are satisfied for $\NN_x$ to be a filter.
Let $T = \struct {S, \tau}$ be a [[Definition:Topological Space|topological space]]. Let $x \in S$ be a [[Definition:Point|point]] of $T$. Let $\NN_x$ denote the [[Definition:Neighborhood Filter of Point|neighborhood filter]] of $x$ in $T$. Then $\NN_x$ is a [[Definition:Filter on Set|filter]] on $S$.
By definition, $\NN_x$ is the [[Definition:Set|set]] of all [[Definition:Neighborhood of Point|neighborhoods]] of $x$ in $T$. It is to be demonstrated that all the conditions are satisfied for $\NN_x$ to be a [[Definition:Filter on Set|filter]].
Neighborhood Filter of Point is Filter
https://proofwiki.org/wiki/Neighborhood_Filter_of_Point_is_Filter
https://proofwiki.org/wiki/Neighborhood_Filter_of_Point_is_Filter
[ "Neighborhoods", "Filter Theory" ]
[ "Definition:Topological Space", "Definition:Point", "Definition:Neighborhood Filter/Point", "Definition:Filter on Set" ]
[ "Definition:Set", "Definition:Neighborhood (Topology)/Point", "Definition:Filter on Set", "Definition:Neighborhood (Topology)/Point" ]
proofwiki-17908
Intersection of Compact and Closed Subsets of Normed Finite-Dimensional Real Vector Space with Euclidean Norm is Compact
Let $\struct {\R^d, \norm {\, \cdot \,}_2}$ be the normed finite-dimensional real vector space with Euclidean norm. Let $K$ be a compact subset of $\struct {\R^d, \norm {\, \cdot \,}_2}$. Let $F$ be a closed subset of $\struct {\R^d, \norm {\, \cdot \,}_2}$. Then $F \cap K$ is compact in $\struct {\R^d, \norm {\, \cdot...
By assumption, $K$ is compact. We have that a compact subset of normed vector space is closed and bounded. Hence, $K$ is closed and bounded. Since $K$ is bounded: :$\exists C \in \R_{> 0} : \forall \mathbf x \in K : \norm {\mathbf x}_2 \le C$. Then: :$\forall \mathbf x \in K \cap F : \norm {\mathbf x}_2 \le C$ Hence, $...
Let $\struct {\R^d, \norm {\, \cdot \,}_2}$ be the [[Finite Dimensional Real Vector Space with Euclidean Norm form Normed Vector Space|normed finite-dimensional real vector space with Euclidean norm]]. Let $K$ be a [[Definition:Compact Subset of Normed Vector Space|compact]] [[Definition:Subset|subset]] of $\struct {\...
By [[Definition:Assumption|assumption]], $K$ is [[Definition:Compact Subset of Normed Vector Space|compact]]. We have that a [[Compact Subset of Normed Vector Space is Closed and Bounded|compact subset of normed vector space is closed and bounded]]. Hence, $K$ is [[Definition:Closed Set of Normed Vector Space|closed]...
Intersection of Compact and Closed Subsets of Normed Finite-Dimensional Real Vector Space with Euclidean Norm is Compact
https://proofwiki.org/wiki/Intersection_of_Compact_and_Closed_Subsets_of_Normed_Finite-Dimensional_Real_Vector_Space_with_Euclidean_Norm_is_Compact
https://proofwiki.org/wiki/Intersection_of_Compact_and_Closed_Subsets_of_Normed_Finite-Dimensional_Real_Vector_Space_with_Euclidean_Norm_is_Compact
[ "Closed Sets", "Compact Normed Vector Spaces" ]
[ "Finite Dimensional Real Vector Space with Euclidean Norm form Normed Vector Space", "Definition:Compact Space/Normed Vector Space", "Definition:Subset", "Definition:Closed Set/Normed Vector Space", "Definition:Subset", "Definition:Compact Space/Normed Vector Space" ]
[ "Definition:Assumption", "Definition:Compact Space/Normed Vector Space", "Compact Subset of Normed Vector Space is Closed and Bounded", "Definition:Closed Set/Normed Vector Space", "Definition:Bounded Subset of Normed Vector Space", "Definition:Bounded Subset of Normed Vector Space", "Definition:Bounded...
proofwiki-17909
Eigenvectors of Symmetric Matrix are Orthogonal
Let $K$ be a ring. Let $A$ be a symmetric matrix over $K$. Let $\lambda_1, \lambda_2$ be distinct eigenvalues of $A$. Let $\mathbf v_1, \mathbf v_2$ be eigenvectors of $A$ corresponding to the eigenvalues $\lambda_1$ and $\lambda_2$ respectively. Then $\mathbf v_1$ and $\mathbf v_2$ are orthogonal.
We have: :$A \mathbf v_1 = \lambda_1 \mathbf v_1$ and: :$A \mathbf v_2 = \lambda_2 \mathbf v_2$ We also have: {{begin-eqn}} {{eqn | l = \mathbf v_1 \cdot \paren {A \mathbf v_2} | r = \mathbf v_1 \cdot \paren {\lambda_2 \mathbf v_2} }} {{eqn | r = \lambda_2 \mathbf v_1 \cdot \mathbf v_2 | c = Dot Product Ope...
Let $K$ be a [[Definition:Ring|ring]]. Let $A$ be a [[Definition:Symmetric Matrix|symmetric matrix]] over $K$. Let $\lambda_1, \lambda_2$ be distinct [[Definition:Eigenvalue of Square Matrix|eigenvalues]] of $A$. Let $\mathbf v_1, \mathbf v_2$ be [[Definition:Eigenvector of Square Matrix|eigenvectors]] of $A$ corre...
We have: :$A \mathbf v_1 = \lambda_1 \mathbf v_1$ and: :$A \mathbf v_2 = \lambda_2 \mathbf v_2$ We also have: {{begin-eqn}} {{eqn | l = \mathbf v_1 \cdot \paren {A \mathbf v_2} | r = \mathbf v_1 \cdot \paren {\lambda_2 \mathbf v_2} }} {{eqn | r = \lambda_2 \mathbf v_1 \cdot \mathbf v_2 | c = [[Dot Product...
Eigenvectors of Symmetric Matrix are Orthogonal
https://proofwiki.org/wiki/Eigenvectors_of_Symmetric_Matrix_are_Orthogonal
https://proofwiki.org/wiki/Eigenvectors_of_Symmetric_Matrix_are_Orthogonal
[ "Eigenvectors of Square Matrices", "Symmetric Matrices" ]
[ "Definition:Ring", "Definition:Symmetric Matrix", "Definition:Eigenvalue/Square Matrix", "Definition:Eigenvector/Square Matrix", "Definition:Eigenvalue/Square Matrix", "Definition:Orthogonal (Linear Algebra)" ]
[ "Dot Product Operator is Bilinear", "Transpose of Matrix Product", "Dot Product Operator is Bilinear", "Definition:Orthogonal", "Category:Eigenvectors of Square Matrices", "Category:Symmetric Matrices" ]
proofwiki-17910
Product of Diagonal Matrices is Diagonal
Let $A$ and $B$ be $n \times n$ diagonal matrices. Then the matrix product $A B$ is an $n \times n$ diagonal matrix. Further: :$\paren {A B}_{i j} = \begin {cases} \paren A_{i i} \paren B_{i i} & i = j \\ 0 & i \ne j \end {cases}$
We have: :$\ds \paren {A B}_{ij} = \sum_{k \mathop = 1}^n \paren A_{i k} \paren B_{k j}$ Since $A$ and $B$ are diagonal: :$\paren A_{i k} = 0$ for $i \ne k$, and: :$\paren B_{k j} = 0$ for $k \ne j$. If $i \ne j$, for each $k$ we either have $i \ne k$ or $k \ne j$, so: :$\paren A_{i k} \paren B_{k j} = 0$ for each $1 ...
Let $A$ and $B$ be [[Definition:Diagonal Matrix|$n \times n$ diagonal matrices]]. Then the [[Definition:Matrix Product|matrix product]] $A B$ is an $n \times n$ [[Definition:Diagonal Matrix|diagonal matrix]]. Further: :$\paren {A B}_{i j} = \begin {cases} \paren A_{i i} \paren B_{i i} & i = j \\ 0 & i \ne j \end {...
We have: :$\ds \paren {A B}_{ij} = \sum_{k \mathop = 1}^n \paren A_{i k} \paren B_{k j}$ Since $A$ and $B$ are [[Definition:Diagonal Matrix|diagonal]]: :$\paren A_{i k} = 0$ for $i \ne k$, and: :$\paren B_{k j} = 0$ for $k \ne j$. If $i \ne j$, for each $k$ we either have $i \ne k$ or $k \ne j$, so: :$\paren A_...
Product of Diagonal Matrices is Diagonal
https://proofwiki.org/wiki/Product_of_Diagonal_Matrices_is_Diagonal
https://proofwiki.org/wiki/Product_of_Diagonal_Matrices_is_Diagonal
[ "Diagonal Matrices", "Conventional Matrix Multiplication" ]
[ "Definition:Diagonal Matrix", "Definition:Matrix Product", "Definition:Diagonal Matrix" ]
[ "Definition:Diagonal Matrix", "Definition:Diagonal Matrix", "Category:Diagonal Matrices", "Category:Conventional Matrix Multiplication" ]
proofwiki-17911
Open Real Interval is Homeomorphic to Real Number Line
Let $\R$ be the real number line with the Euclidean topology. Let $I := \openint a b$ be a non-empty open real interval. Then $I$ and $\R$ are homeomorphic.
By definition of open real interval, for $I$ to be non-empty it must be the case that $a < b$. In particular it is noted that $a \ne b$. Thus $a - b \ne 0$. Let $I' := \openint {-1} 1$ denote the open real interval from $-1$ to $1$. From Open Real Intervals are Homeomorphic, $I$ and $I'$ are homeomorphic. Consider the ...
Let $\R$ be the [[Definition:Real Number Line|real number line]] with the [[Definition:Real Number Line with Euclidean Topology|Euclidean topology]]. Let $I := \openint a b$ be a [[Definition:Non-Empty Set|non-empty]] [[Definition:Open Real Interval|open real interval]]. Then $I$ and $\R$ are [[Definition:Homeomorph...
By definition of [[Definition:Open Real Interval|open real interval]], for $I$ to be [[Definition:Non-Empty Set|non-empty]] it must be the case that $a < b$. In particular it is noted that $a \ne b$. Thus $a - b \ne 0$. Let $I' := \openint {-1} 1$ denote the [[Definition:Open Real Interval|open real interval]] from ...
Open Real Interval is Homeomorphic to Real Number Line/Proof 1
https://proofwiki.org/wiki/Open_Real_Interval_is_Homeomorphic_to_Real_Number_Line
https://proofwiki.org/wiki/Open_Real_Interval_is_Homeomorphic_to_Real_Number_Line/Proof_1
[ "Examples of Homeomorphisms", "Open Real Interval is Homeomorphic to Real Number Line" ]
[ "Definition:Real Number/Real Number Line", "Definition:Euclidean Space/Euclidean Topology/Real Number Line", "Definition:Non-Empty Set", "Definition:Real Interval/Open", "Definition:Homeomorphism/Topological Spaces" ]
[ "Definition:Real Interval/Open", "Definition:Non-Empty Set", "Definition:Real Interval/Open", "Open Real Intervals are Homeomorphic", "Definition:Homeomorphism/Topological Spaces", "Definition:Real Function", "Combination Theorem for Continuous Functions/Real", "Definition:Continuous Real Function", ...
proofwiki-17912
Open Real Interval is Homeomorphic to Real Number Line
Let $\R$ be the real number line with the Euclidean topology. Let $I := \openint a b$ be a non-empty open real interval. Then $I$ and $\R$ are homeomorphic.
Let $I := \openint {-\dfrac \pi 2} {\dfrac \pi 2}$ denote the open real interval from $-\dfrac \pi 2$ to $\dfrac \pi 2$. Consider the real function $f: I \to \R$ defined as: :$\forall x \in I: \map f x = \tan x$ Then we have: :$\forall x \in \R: \map {f^{-1} } x = \arctan x$ From Homeomorphism Relation is Equivalence i...
Let $\R$ be the [[Definition:Real Number Line|real number line]] with the [[Definition:Real Number Line with Euclidean Topology|Euclidean topology]]. Let $I := \openint a b$ be a [[Definition:Non-Empty Set|non-empty]] [[Definition:Open Real Interval|open real interval]]. Then $I$ and $\R$ are [[Definition:Homeomorph...
Let $I := \openint {-\dfrac \pi 2} {\dfrac \pi 2}$ denote the [[Definition:Open Real Interval|open real interval]] from $-\dfrac \pi 2$ to $\dfrac \pi 2$. Consider the [[Definition:Real Function|real function]] $f: I \to \R$ defined as: :$\forall x \in I: \map f x = \tan x$ Then we have: :$\forall x \in \R: \map {f^{...
Open Real Interval is Homeomorphic to Real Number Line/Proof 2
https://proofwiki.org/wiki/Open_Real_Interval_is_Homeomorphic_to_Real_Number_Line
https://proofwiki.org/wiki/Open_Real_Interval_is_Homeomorphic_to_Real_Number_Line/Proof_2
[ "Examples of Homeomorphisms", "Open Real Interval is Homeomorphic to Real Number Line" ]
[ "Definition:Real Number/Real Number Line", "Definition:Euclidean Space/Euclidean Topology/Real Number Line", "Definition:Non-Empty Set", "Definition:Real Interval/Open", "Definition:Homeomorphism/Topological Spaces" ]
[ "Definition:Real Interval/Open", "Definition:Real Function", "Homeomorphism Relation is Equivalence", "Definition:Homeomorphism/Topological Spaces", "Open Real Intervals are Homeomorphic", "Definition:Homeomorphism/Topological Spaces", "Definition:Real Interval/Open" ]
proofwiki-17913
Closed Unit Interval is Homeomorphic to Letter L
Let $\R$ be the real number line under the Euclidean metric. Let $\Bbb I := \closedint 0 1$ be the closed unit interval. Let $\mathsf L \subseteq \R^2$ denote the letter $L$: :$\mathsf L := \closedint 0 1 \times \set 0 \cup \set 0 \times \closedint 0 1$ Then $\Bbb I$ and $\mathsf L$ are homeomorphic.
:thumbright Consider the mapping $f: \Bbb I \to \mathsf L$ defined as: :$\forall x \in \Bbb I: \map f x = \begin {cases} \tuple {0, 1 - 2 x} & : x \in \closedint 0 {\dfrac 1 2} \\ \tuple {2 x - 1, 0} & : x \in \closedint {\dfrac 1 2} 1 \end {cases}$ It is seen that: :$f \closedint 0 {\dfrac 1 2} = \set 0 \times \closed...
Let $\R$ be the [[Definition:Real Number Line|real number line]] under the [[Definition:Euclidean Metric on Real Number Line|Euclidean metric]]. Let $\Bbb I := \closedint 0 1$ be the [[Definition:Closed Unit Interval|closed unit interval]]. Let $\mathsf L \subseteq \R^2$ denote the [[Definition:Letter L|letter $L$]]:...
:[[File:Letter-L.png|thumb|right]] Consider the [[Definition:Mapping|mapping]] $f: \Bbb I \to \mathsf L$ defined as: :$\forall x \in \Bbb I: \map f x = \begin {cases} \tuple {0, 1 - 2 x} & : x \in \closedint 0 {\dfrac 1 2} \\ \tuple {2 x - 1, 0} & : x \in \closedint {\dfrac 1 2} 1 \end {cases}$ It is seen that: :$f ...
Closed Unit Interval is Homeomorphic to Letter L
https://proofwiki.org/wiki/Closed_Unit_Interval_is_Homeomorphic_to_Letter_L
https://proofwiki.org/wiki/Closed_Unit_Interval_is_Homeomorphic_to_Letter_L
[ "Examples of Homeomorphisms", "Letter L" ]
[ "Definition:Real Number/Real Number Line", "Definition:Euclidean Metric/Real Number Line", "Definition:Real Interval/Unit Interval/Closed", "Definition:Letter L", "Definition:Homeomorphism/Topological Spaces" ]
[ "File:Letter-L.png", "Definition:Mapping", "Definition:Bijection", "Definition:Continuous Real Function", "Combination Theorem for Continuous Functions/Real" ]
proofwiki-17914
Letter L and Letter T are not Homeomorphic
Let $\R^2$ denote the real number plane under the Euclidean topology. Let $\mathsf L \subseteq \R^2$ denote the letter $L$: :$\mathsf L := \closedint 0 1 \times \set 0 \cup \set 0 \times \closedint 0 1$ Let $\mathsf T \subseteq \R^2$ denote the letter $T$: :$\mathsf T := \closedint {-1} 1 \times \set 0 \cup \set 0 \tim...
{{AimForCont}} $f: \mathsf T \to \mathsf L$ is a homeomorphism. Let $g$ be the restriction of $f$ to $\mathsf T \setminus \set \bszero$, where $\bszero := \tuple {0, 0}$ denotes the origin of $\R^2$. Then from Restriction of Homeomorphism is Homeomorphism, $g$ is also a homeomorphism. But $\bszero$ is the junction poin...
Let $\R^2$ denote the [[Definition:Real Number Plane|real number plane]] under the [[Definition:Real Number Plane with Euclidean Topology|Euclidean topology]]. Let $\mathsf L \subseteq \R^2$ denote the [[Definition:Letter L|letter $L$]]: :$\mathsf L := \closedint 0 1 \times \set 0 \cup \set 0 \times \closedint 0 1$ L...
{{AimForCont}} $f: \mathsf T \to \mathsf L$ is a [[Definition:Homeomorphism (Topological Spaces)|homeomorphism]]. Let $g$ be the [[Definition:Restriction of Mapping|restriction]] of $f$ to $\mathsf T \setminus \set \bszero$, where $\bszero := \tuple {0, 0}$ denotes the [[Definition:Origin|origin]] of $\R^2$. Then fro...
Letter L and Letter T are not Homeomorphic
https://proofwiki.org/wiki/Letter_L_and_Letter_T_are_not_Homeomorphic
https://proofwiki.org/wiki/Letter_L_and_Letter_T_are_not_Homeomorphic
[ "Letter L", "Letter T" ]
[ "Definition:Real Number Plane", "Definition:Euclidean Space/Euclidean Topology/Real Number Plane", "Definition:Letter L", "Definition:Letter T", "Definition:Homeomorphism/Topological Spaces" ]
[ "Definition:Homeomorphism/Topological Spaces", "Definition:Restriction/Mapping", "Definition:Coordinate System/Origin", "Restriction of Homeomorphism is Homeomorphism", "Definition:Homeomorphism/Topological Spaces", "Definition:Disjoint Sets", "Definition:Real Interval/Half-Open", "Definition:Set", ...
proofwiki-17915
Real Symmetric Positive Definite Matrix has Positive Eigenvalues
Let $A$ be a symmetric positive definite matrix over $\mathbb R$. Let $\lambda$ be an eigenvalue of $A$. Then $\lambda$ is real with $\lambda > 0$.
Let $\lambda$ be an eigenvalue of $A$ and let $\mathbf v$ be a corresponding eigenvector. From Eigenvalues of Symmetric Matrix are Real, $\lambda$ is real. From the definition of a positive definite matrix, we have: :$\mathbf v^\intercal A \mathbf v > 0$ That is: {{begin-eqn}} {{eqn | l = 0 | o = < | r = ...
Let $A$ be a [[Definition:Symmetric Matrix|symmetric]] [[Definition:Positive Definite Matrix|positive definite matrix]] over $\mathbb R$. Let $\lambda$ be an [[Definition:Eigenvalue of Real Square Matrix|eigenvalue]] of $A$. Then $\lambda$ is [[Definition:Real Number|real]] with $\lambda > 0$.
Let $\lambda$ be an [[Definition:Eigenvalue of Real Square Matrix|eigenvalue]] of $A$ and let $\mathbf v$ be a corresponding [[Definition:Eigenvector of Real Square Matrix|eigenvector]]. From [[Eigenvalues of Symmetric Matrix are Real]], $\lambda$ is [[Definition:Real Number|real]]. From the definition of a [[Definit...
Real Symmetric Positive Definite Matrix has Positive Eigenvalues
https://proofwiki.org/wiki/Real_Symmetric_Positive_Definite_Matrix_has_Positive_Eigenvalues
https://proofwiki.org/wiki/Real_Symmetric_Positive_Definite_Matrix_has_Positive_Eigenvalues
[ "Symmetric Matrices", "Positive Definite Matrices" ]
[ "Definition:Symmetric Matrix", "Definition:Positive Definite Matrix", "Definition:Eigenvalue/Real Square Matrix", "Definition:Real Number" ]
[ "Definition:Eigenvalue/Real Square Matrix", "Definition:Eigenvector/Real Square Matrix", "Eigenvalues of Symmetric Matrix are Real", "Definition:Real Number", "Definition:Positive Definite Matrix", "Dot Product of Vector with Itself", "Euclidean Space is Normed Vector Space", "Category:Symmetric Matri...
proofwiki-17916
Characterisation of Real Symmetric Positive Definite Matrix/Necessary Condition
Let $A$ be an $n \times n$ positive definite symmetric matrix over $\R$. Then: :there exists a nonsingular matrix $C$ such that $A = C^\intercal C$.
Let $A$ be positive definite. From Spectral Theorem for Real Symmetric Matrices: :there exists an orthogonal matrix $P$ and diagonal matrix $D$ such that $A = P^\intercal D P$. Further, from Characterization of Diagonalizable Matrices: :the diagonal entries of $D$ are the eigenvalues of $A$. From Real Symmetric Posit...
Let $A$ be an $n \times n$ [[Definition:Positive Definite Matrix|positive definite]] [[Definition:Symmetric Matrix|symmetric matrix]] over $\R$. Then: :there exists a [[Definition:Nonsingular Matrix|nonsingular matrix]] $C$ such that $A = C^\intercal C$.
Let $A$ be [[Definition:Positive Definite Matrix|positive definite]]. From [[Spectral Theorem for Real Symmetric Matrices]]: :there exists an [[Definition:Orthogonal Matrix|orthogonal matrix]] $P$ and [[Definition:Diagonal Matrix|diagonal matrix]] $D$ such that $A = P^\intercal D P$. Further, from [[Characterizatio...
Characterisation of Real Symmetric Positive Definite Matrix/Necessary Condition
https://proofwiki.org/wiki/Characterisation_of_Real_Symmetric_Positive_Definite_Matrix/Necessary_Condition
https://proofwiki.org/wiki/Characterisation_of_Real_Symmetric_Positive_Definite_Matrix/Necessary_Condition
[ "Characterisation of Real Symmetric Positive Definite Matrix", "Positive Definite Matrices", "Symmetric Matrices" ]
[ "Definition:Positive Definite Matrix", "Definition:Symmetric Matrix", "Definition:Nonsingular Matrix" ]
[ "Definition:Positive Definite Matrix", "Spectral Theorem for Real Symmetric Matrices", "Definition:Orthogonal Matrix", "Definition:Diagonal Matrix", "Characterization of Diagonalizable Matrices", "Definition:Matrix/Diagonal/Main", "Definition:Matrix/Element", "Definition:Eigenvalue", "Real Symmetric...
proofwiki-17917
Characterisation of Real Symmetric Positive Definite Matrix/Sufficient Condition
Let $A$ be an $n \times n$ symmetric matrix over $\mathbb R$ such that: :there exists a nonsingular matrix $C$ such that $A = C^\intercal C$. Then $A$ is positive definite.
Let $A$ be a symmetric matrix such that: :there exists an nonsingular matrix $C$ such that $A = C^\intercal C$. Let $\mathbf v$ be a non-zero vector. Then: {{begin-eqn}} {{eqn | l = \mathbf v^\intercal A \mathbf v | r = \mathbf v^\intercal C^\intercal C \mathbf v }} {{eqn | r = \paren {C \mathbf v}^\intercal C ...
Let $A$ be an [[Definition:Symmetric Matrix|$n \times n$ symmetric matrix]] over $\mathbb R$ such that: :there exists a [[Definition:Nonsingular Matrix|nonsingular matrix]] $C$ such that $A = C^\intercal C$. Then $A$ is [[Definition:Positive Definite Matrix|positive definite]].
Let $A$ be a [[Definition:Symmetric Matrix|symmetric matrix]] such that: :there exists an [[Definition:Nonsingular Matrix|nonsingular matrix]] $C$ such that $A = C^\intercal C$. Let $\mathbf v$ be a non-[[Definition:Zero Vector|zero vector]]. Then: {{begin-eqn}} {{eqn | l = \mathbf v^\intercal A \mathbf v |...
Characterisation of Real Symmetric Positive Definite Matrix/Sufficient Condition
https://proofwiki.org/wiki/Characterisation_of_Real_Symmetric_Positive_Definite_Matrix/Sufficient_Condition
https://proofwiki.org/wiki/Characterisation_of_Real_Symmetric_Positive_Definite_Matrix/Sufficient_Condition
[ "Characterisation of Real Symmetric Positive Definite Matrix", "Positive Definite Matrices", "Symmetric Matrices" ]
[ "Definition:Symmetric Matrix", "Definition:Nonsingular Matrix", "Definition:Positive Definite Matrix" ]
[ "Definition:Symmetric Matrix", "Definition:Nonsingular Matrix", "Definition:Zero Vector", "Transpose of Matrix Product", "Dot Product of Vector with Itself", "Euclidean Space is Normed Vector Space", "Definition:Positive Definite Matrix" ]
proofwiki-17918
Characterisation of Real Symmetric Positive Definite Matrix
Let $A$ be an $n \times n$ symmetric matrix over $\mathbb R$. Then $A$ is positive definite {{iff}}: :there exists a nonsingular matrix $C$ such that $A = C^\intercal C$.
=== Necessary Condition === {{:Characterisation of Real Symmetric Positive Definite Matrix/Necessary Condition}}{{qed|lemma}}
Let $A$ be an [[Definition:Symmetric Matrix|$n \times n$ symmetric matrix]] over $\mathbb R$. Then $A$ is [[Definition:Positive Definite|positive definite]] {{iff}}: :there exists a [[Definition:Nonsingular Matrix|nonsingular matrix]] $C$ such that $A = C^\intercal C$.
=== [[Characterisation of Real Symmetric Positive Definite Matrix/Necessary Condition|Necessary Condition]] === {{:Characterisation of Real Symmetric Positive Definite Matrix/Necessary Condition}}{{qed|lemma}}
Characterisation of Real Symmetric Positive Definite Matrix
https://proofwiki.org/wiki/Characterisation_of_Real_Symmetric_Positive_Definite_Matrix
https://proofwiki.org/wiki/Characterisation_of_Real_Symmetric_Positive_Definite_Matrix
[ "Characterisation of Real Symmetric Positive Definite Matrix", "Symmetric Matrices", "Positive Definite Matrices" ]
[ "Definition:Symmetric Matrix", "Definition:Positive Definite", "Definition:Nonsingular Matrix" ]
[ "Characterisation of Real Symmetric Positive Definite Matrix/Necessary Condition" ]
proofwiki-17919
Coffee Mug and Doughnut are Homeomorphic
A {{WP|Doughnut|doughnut}} and a {{WP|Coffee mug|coffee mug}} are homeomorphic.
They are both solid objects with one hole. A classical {{WP|Doughnut|doughnut}} is in the shape of a torus. That is, it is a solid figure with one hole. The classic coffee-cup shape is a receptacle with a closed loop of china forming a handle. The hole through which you put your fingers is homeomorphic to the hole in t...
A {{WP|Doughnut|doughnut}} and a {{WP|Coffee mug|coffee mug}} are [[Definition:Homeomorphic Topological Spaces|homeomorphic]].
They are both solid objects with one hole. A classical {{WP|Doughnut|doughnut}} is in the shape of a [[Definition:Torus (Geometry)|torus]]. That is, it is a [[Definition:Solid Figure|solid figure]] with one hole. The classic coffee-cup shape is a receptacle with a closed loop of china forming a handle. The hole thr...
Coffee Mug and Doughnut are Homeomorphic
https://proofwiki.org/wiki/Coffee_Mug_and_Doughnut_are_Homeomorphic
https://proofwiki.org/wiki/Coffee_Mug_and_Doughnut_are_Homeomorphic
[ "Examples of Homeomorphisms" ]
[ "Definition:Homeomorphism/Topological Spaces" ]
[ "Definition:Torus (Geometry)", "Definition:Geometric Figure/Three-Dimensional Figure" ]
proofwiki-17920
Trefoil Knot is Homeomorphic to Circle
The trefoil knot is homeomorphic to the circle.
Despite the fact that you cannot actually rearrange a trefoil knot actually into a circle in the usual $\R^3$ space, you can set up a mappping from one to the other. {{finish}}
The [[Definition:Trefoil Knot|trefoil knot]] is [[Definition:Homeomorphic Topological Spaces|homeomorphic]] to the [[Definition:Circle|circle]].
Despite the fact that you cannot actually rearrange a [[Definition:Trefoil Knot|trefoil knot]] actually into a [[Definition:Circle|circle]] in the [[Definition:Cartesian Space|usual $\R^3$ space]], you can set up a [[Definition:Mapping|mappping]] from one to the other. {{finish}}
Trefoil Knot is Homeomorphic to Circle
https://proofwiki.org/wiki/Trefoil_Knot_is_Homeomorphic_to_Circle
https://proofwiki.org/wiki/Trefoil_Knot_is_Homeomorphic_to_Circle
[ "Examples of Homeomorphisms" ]
[ "Definition:Trefoil Knot", "Definition:Homeomorphism/Topological Spaces", "Definition:Circle" ]
[ "Definition:Trefoil Knot", "Definition:Circle", "Definition:Cartesian Product/Cartesian Space", "Definition:Mapping" ]
proofwiki-17921
Homeomorphism between Topological Spaces may not be Unique
Let $T_1$ and $T_2$ be topological spaces. Let $f$ be a homeomorphism from $T_1$ to $T_2$. Then $f$ may not necessarily be unique.
Let $\R$ be the real number line with the Euclidean topology. Let $I_1 := \openint a b$ and $I_2 := \openint c d$ be non-empty open real intervals. From Open Real Intervals are Homeomorphic, $I_1$ and $I_2$ are homeomorphic. The example given of a homeomorphism was the real function $f: I_1 \to I_2$ defined as: :$\fora...
Let $T_1$ and $T_2$ be [[Definition:Topological Space|topological spaces]]. Let $f$ be a [[Definition:Homeomorphism (Topological Spaces)|homeomorphism]] from $T_1$ to $T_2$. Then $f$ may not necessarily be [[Definition:Unique|unique]].
Let $\R$ be the [[Definition:Real Number Line|real number line]] with the [[Definition:Real Number Line with Euclidean Topology|Euclidean topology]]. Let $I_1 := \openint a b$ and $I_2 := \openint c d$ be [[Definition:Non-Empty Set|non-empty]] [[Definition:Open Real Interval|open real intervals]]. From [[Open Real In...
Homeomorphism between Topological Spaces may not be Unique
https://proofwiki.org/wiki/Homeomorphism_between_Topological_Spaces_may_not_be_Unique
https://proofwiki.org/wiki/Homeomorphism_between_Topological_Spaces_may_not_be_Unique
[ "Homeomorphisms (Topological Spaces)" ]
[ "Definition:Topological Space", "Definition:Homeomorphism/Topological Spaces", "Definition:Unique" ]
[ "Definition:Real Number/Real Number Line", "Definition:Euclidean Space/Euclidean Topology/Real Number Line", "Definition:Non-Empty Set", "Definition:Real Interval/Open", "Open Real Intervals are Homeomorphic", "Definition:Homeomorphism/Topological Spaces", "Definition:Homeomorphism/Topological Spaces", ...
proofwiki-17922
Cardinality of Set is Topological Property
Let $T = \struct {S, \tau}$ be a topological space. The cardinality of $S$ is a topological property of $T$.
Let $T_1 = \struct {S_1, \tau_1}$ and $T_2 = \struct {S_2, \tau_2}$ be topological spaces. Let $T_1$ and $T_2$ be homeomorphic. Then by definition there exists a homeomorphism $f: T_1 \to T_2$. Hence by definition $f$ is a bijection. Hence by definition $S$ and $T$ are equivalent. That is, they have the same cardinalit...
Let $T = \struct {S, \tau}$ be a [[Definition:Topological Space|topological space]]. The [[Definition:Cardinality|cardinality]] of $S$ is a [[Definition:Topological Property|topological property]] of $T$.
Let $T_1 = \struct {S_1, \tau_1}$ and $T_2 = \struct {S_2, \tau_2}$ be [[Definition:Topological Space|topological spaces]]. Let $T_1$ and $T_2$ be [[Definition:Homeomorphic Topological Spaces|homeomorphic]]. Then by definition there exists a [[Definition:Homeomorphism (Topological Spaces)|homeomorphism]] $f: T_1 \to ...
Cardinality of Set is Topological Property
https://proofwiki.org/wiki/Cardinality_of_Set_is_Topological_Property
https://proofwiki.org/wiki/Cardinality_of_Set_is_Topological_Property
[ "Cardinality of Set is Topological Property", "Cardinality", "Examples of Topological Properties" ]
[ "Definition:Topological Space", "Definition:Cardinality", "Definition:Topological Property" ]
[ "Definition:Topological Space", "Definition:Homeomorphism/Topological Spaces", "Definition:Homeomorphism/Topological Spaces", "Definition:Bijection", "Definition:Set Equivalence", "Definition:Cardinality", "Definition:Cardinality", "Definition:Homeomorphism/Topological Spaces", "Definition:Topologic...
proofwiki-17923
Boundedness is not Topological Property
Let $M_1 = \struct {A_1, d_1}$ and $M_2 = \struct {A_2, d_2}$ be metric spaces. Let $M_1$ and $M_2$ be homeomorphic. Then it is not necessarily the case that: :$M_1$ is bounded {{iff}} $M_2$ is bounded. That is, boundedness is not a topological property.
;Proof by Counterexample Let the metric space $M_1 = \struct {S_1, d}$ such that: :$S_1 = \openint 0 1$ is the open unit interval :$d$ is the usual (Euclidean) metric on $S_1$. Let the metric space $M_2 = \struct {\R, d}$ such that: :$\R$ is the set of real numbers :$d$ is again the usual (Euclidean) metric on $\R$. Th...
Let $M_1 = \struct {A_1, d_1}$ and $M_2 = \struct {A_2, d_2}$ be [[Definition:Metric Space|metric spaces]]. Let $M_1$ and $M_2$ be [[Definition:Homeomorphic Metric Spaces|homeomorphic]]. Then it is not necessarily the case that: :$M_1$ is [[Definition:Bounded Metric Space|bounded]] {{iff}} $M_2$ is [[Definition:Boun...
;[[Proof by Counterexample]] Let the [[Definition:Metric Space|metric space]] $M_1 = \struct {S_1, d}$ such that: :$S_1 = \openint 0 1$ is the [[Definition:Open Unit Interval|open unit interval]] :$d$ is the [[Definition:Euclidean Metric|usual (Euclidean) metric]] on $S_1$. Let the [[Definition:Metric Space|metric sp...
Boundedness is not Topological Property
https://proofwiki.org/wiki/Boundedness_is_not_Topological_Property
https://proofwiki.org/wiki/Boundedness_is_not_Topological_Property
[ "Examples of Topological Properties" ]
[ "Definition:Metric Space", "Definition:Homeomorphism/Metric Spaces", "Definition:Bounded Metric Space", "Definition:Bounded Metric Space", "Definition:Bounded Metric Space", "Definition:Topological Property" ]
[ "Proof by Counterexample", "Definition:Metric Space", "Definition:Real Interval/Unit Interval/Open", "Definition:Euclidean Metric", "Definition:Metric Space", "Definition:Real Number", "Definition:Euclidean Metric", "Definition:Bounded Metric Space", "Definition:Bounded Metric Space", "Open Real I...
proofwiki-17924
Minimum of Exponential Random Variables has Exponential Distribution
Let $\beta_1, \beta_2, \ldots, \beta_n$ be positive real numbers. Let $X_1, X_2, \ldots, X_n$ be independent random variables. For each $i$, let $X_i \sim \Exponential {\beta_i}$, where $\Exponential {\beta_i}$ is the exponential distribution with parameter $\beta_i$. Let: :$\ds M = \map {\min_{1 \mathop \le i \matho...
We aim to show that: :$\ds \map \Pr {M \le m} = 1 - \map \exp {-m \sum_{i \mathop = 1}^n \frac 1 {\beta_i} }$ for each $m > 0$. Note that: :$\ds M > m$ {{iff}}: :$\ds X_i > m$ for each $i$. We therefore have: {{begin-eqn}} {{eqn | l = \map \Pr {M > m} | r = \map \Pr {\bigcap_{i \mathop = 1}^n \set {X_i > m} } }} {...
Let $\beta_1, \beta_2, \ldots, \beta_n$ be [[Definition:Positive Real Number|positive real numbers]]. Let $X_1, X_2, \ldots, X_n$ be [[Definition:Independent Random Variables|independent random variables]]. For each $i$, let $X_i \sim \Exponential {\beta_i}$, where $\Exponential {\beta_i}$ is the [[Definition:Exponen...
We aim to show that: :$\ds \map \Pr {M \le m} = 1 - \map \exp {-m \sum_{i \mathop = 1}^n \frac 1 {\beta_i} }$ for each $m > 0$. Note that: :$\ds M > m$ {{iff}}: :$\ds X_i > m$ for each $i$. We therefore have: {{begin-eqn}} {{eqn | l = \map \Pr {M > m} | r = \map \Pr {\bigcap_{i \mathop = 1}^n \set {X_i > ...
Minimum of Exponential Random Variables has Exponential Distribution
https://proofwiki.org/wiki/Minimum_of_Exponential_Random_Variables_has_Exponential_Distribution
https://proofwiki.org/wiki/Minimum_of_Exponential_Random_Variables_has_Exponential_Distribution
[ "Exponential Distribution" ]
[ "Definition:Positive/Real Number", "Definition:Independent Random Variables", "Definition:Exponential Distribution" ]
[ "Exponential of Sum", "Category:Exponential Distribution" ]
proofwiki-17925
Multiple of Exponential Random Variable has Exponential Distribution
Let $\beta, k$ be real numbers with $\beta > 0$. Let $X$ be a random variable. Let $X \sim \Exponential \beta$, where $\Exponential \beta$ is the exponential distribution with parameter $\beta$. Then: :$k X \sim \Exponential {k \beta}$
Let: :$Y \sim k X$ We aim to show that: :$\ds \map \Pr {Y \le y} = 1 - \map \exp {-\frac y {k \beta} }$ for each $y > 0$. We have: {{begin-eqn}} {{eqn | l = \map \Pr {Y \le y} | r = \map \Pr {k X \le y} }} {{eqn | r = \map \Pr {X \le \frac y k} }} {{eqn | r = 1 - \map \exp {-\frac y {k \beta} } | c = {{Defof|Expon...
Let $\beta, k$ be [[Definition:Real Number|real numbers]] with $\beta > 0$. Let $X$ be a [[Definition:Random Variable|random variable]]. Let $X \sim \Exponential \beta$, where $\Exponential \beta$ is the [[Definition:Exponential Distribution|exponential distribution]] with parameter $\beta$. Then: :$k X \sim \Exp...
Let: :$Y \sim k X$ We aim to show that: :$\ds \map \Pr {Y \le y} = 1 - \map \exp {-\frac y {k \beta} }$ for each $y > 0$. We have: {{begin-eqn}} {{eqn | l = \map \Pr {Y \le y} | r = \map \Pr {k X \le y} }} {{eqn | r = \map \Pr {X \le \frac y k} }} {{eqn | r = 1 - \map \exp {-\frac y {k \beta} } | c = {{Defof...
Multiple of Exponential Random Variable has Exponential Distribution
https://proofwiki.org/wiki/Multiple_of_Exponential_Random_Variable_has_Exponential_Distribution
https://proofwiki.org/wiki/Multiple_of_Exponential_Random_Variable_has_Exponential_Distribution
[ "Exponential Distribution" ]
[ "Definition:Real Number", "Definition:Random Variable", "Definition:Exponential Distribution" ]
[ "Category:Exponential Distribution" ]
proofwiki-17926
Exponential of Negative of Exponential Random Variable has Beta Distribution
Let $\beta$ be a positive real number. Let $X \sim \Exponential \beta$ where $\Exponential \beta$ is the exponential distribution with parameter $\beta$. Then: :$e^{-X} \sim \BetaDist {\dfrac 1 \beta} 1$
Note that if: :$Y \sim \BetaDist {\dfrac 1 \beta} 1$ then the probability density function of $Y$, $f_Y$ is given by: {{begin-eqn}} {{eqn | l = \map {f_Y} y | r = \frac {y^{\frac 1 \beta - 1} \paren {1 - y}^{1 - 1} } {\map \Beta {\frac 1 \beta, 1} } | c = {{Defof|Beta Distribution}} }} {{eqn | r = \frac {y^{\frac 1 \...
Let $\beta$ be a [[Definition:Positive Real Number|positive real number]]. Let $X \sim \Exponential \beta$ where $\Exponential \beta$ is the [[Definition:Exponential Distribution|exponential distribution]] with parameter $\beta$. Then: :$e^{-X} \sim \BetaDist {\dfrac 1 \beta} 1$
Note that if: :$Y \sim \BetaDist {\dfrac 1 \beta} 1$ then the [[Definition:Probability Density Function|probability density function]] of $Y$, $f_Y$ is given by: {{begin-eqn}} {{eqn | l = \map {f_Y} y | r = \frac {y^{\frac 1 \beta - 1} \paren {1 - y}^{1 - 1} } {\map \Beta {\frac 1 \beta, 1} } | c = {{Defof|Beta Di...
Exponential of Negative of Exponential Random Variable has Beta Distribution
https://proofwiki.org/wiki/Exponential_of_Negative_of_Exponential_Random_Variable_has_Beta_Distribution
https://proofwiki.org/wiki/Exponential_of_Negative_of_Exponential_Random_Variable_has_Beta_Distribution
[ "Exponential Distribution", "Beta Distribution" ]
[ "Definition:Positive/Real Number", "Definition:Exponential Distribution" ]
[ "Definition:Probability Density Function", "Gamma Difference Equation", "Definition:Probability Density Function", "Power Rule for Derivatives", "Definition:Probability Density Function", "Category:Exponential Distribution", "Category:Beta Distribution" ]
proofwiki-17927
Normed Vector Space is Finite Dimensional iff Unit Sphere is Compact/Necessary Condition
Let $X$ be a finite dimensional normed vector space. Let $\Bbb S = \map {\Bbb S_1} 0$ be the unit sphere centred at $0$ in $X$. Then $\Bbb S$ is compact.
Let $X$ be a finite dimensional vector space $\R^d$. We have that all norms on finite-dimensional vector space are equivalent. Choose Euclidean norm $\norm {\, \cdot \,}_2$. Let $\struct {\R^d, \norm {\, \cdot \,}_2}$ be the normed finite-dimensional real vector space with Euclidean norm. Let $\map {\Bbb S^{d - 1}_1} 0...
Let $X$ be a [[Definition:Finite Dimensional Vector Space|finite dimensional]] [[Definition:Normed Vector Space|normed vector space]]. Let $\Bbb S = \map {\Bbb S_1} 0$ be the [[Definition:Sphere in Normed Vector Space|unit sphere]] [[Definition:Sphere/Normed Vector Space/Center|centred]] at $0$ in $X$. Then $\Bbb S$...
Let $X$ be a [[Definition:Finite Dimensional Vector Space|finite dimensional]] [[Real Vector Space is Vector Space|vector space $\R^d$]]. We have that [[Norms on Finite-Dimensional Real Vector Space are Equivalent|all norms on finite-dimensional vector space are equivalent]]. Choose [[Definition:Euclidean Norm|Euclid...
Normed Vector Space is Finite Dimensional iff Unit Sphere is Compact/Necessary Condition
https://proofwiki.org/wiki/Normed_Vector_Space_is_Finite_Dimensional_iff_Unit_Sphere_is_Compact/Necessary_Condition
https://proofwiki.org/wiki/Normed_Vector_Space_is_Finite_Dimensional_iff_Unit_Sphere_is_Compact/Necessary_Condition
[ "Normed Vector Space is Finite Dimensional iff Unit Sphere is Compact" ]
[ "Definition:Dimension of Vector Space/Finite", "Definition:Normed Vector Space", "Definition:Sphere/Normed Vector Space", "Definition:Sphere/Normed Vector Space/Center", "Definition:Compact Space/Normed Vector Space" ]
[ "Definition:Dimension of Vector Space/Finite", "Real Vector Space is Vector Space", "Norms on Finite-Dimensional Real Vector Space are Equivalent", "Definition:Euclidean Norm", "Finite Dimensional Real Vector Space with Euclidean Norm form Normed Vector Space", "Definition:Unit Sphere/Normed Vector Space"...
proofwiki-17928
Limit Point of Set may or may not be Element of Set
Let $S$ be a set. Let $H \subseteq S$ be a subset of $S$. Let $T = \struct {H, \tau}$ be a topological space on the underlying set $H$. Let $a \in S$ be a limit point of $T$. Then $a$ may or may not be an element of $H$. Whether it is or not depends upon the nature of both $a$ and $T$.
Consider: :the open real interval $\openint a b$ :the closed real interval $\closedint a b$. Both of these are subsets of the set of real numbers $\R$. From Limit Point Examples: End Points of Real Interval, $a$ is a limit point of both $\openint a b$ and $\closedint a b$. But $a \in \closedint a b$ while $a \notin \op...
Let $S$ be a [[Definition:Set|set]]. Let $H \subseteq S$ be a [[Definition:Subset|subset]] of $S$. Let $T = \struct {H, \tau}$ be a [[Definition:Topological Space|topological space]] on the [[Definition:Underlying Set of Topological Space|underlying set]] $H$. Let $a \in S$ be a [[Definition:Limit Point (Topology)|l...
Consider: :the [[Definition:Open Real Interval|open real interval]] $\openint a b$ :the [[Definition:Closed Real Interval|closed real interval]] $\closedint a b$. Both of these are [[Definition:Subset|subsets]] of the [[Definition:Real Numbers|set of real numbers]] $\R$. From [[Limit Point/Examples/End Points of Rea...
Limit Point of Set may or may not be Element of Set
https://proofwiki.org/wiki/Limit_Point_of_Set_may_or_may_not_be_Element_of_Set
https://proofwiki.org/wiki/Limit_Point_of_Set_may_or_may_not_be_Element_of_Set
[ "Limit Points" ]
[ "Definition:Set", "Definition:Subset", "Definition:Topological Space", "Definition:Underlying Set/Topological Space", "Definition:Limit Point/Topology", "Definition:Element" ]
[ "Definition:Real Interval/Open", "Definition:Real Interval/Closed", "Definition:Subset", "Definition:Real Number", "Limit Point/Examples/End Points of Real Interval", "Definition:Limit Point/Topology" ]
proofwiki-17929
Element of Topological Space may or may not be Limit Point
Let $S$ be a set. Let $H \subseteq S$ be a subset of $S$. Let $T = \struct {H, \tau}$ be a topological space on the underlying set $H$. Let $a \in H$. Then $a$ may or may not be a limit point of $T$. Whether it is or not depends upon the nature of both $a$ and $T$.
Let $\R$ be the set of real numbers. Let $H \subseteq \R$ be the subset of $\R$ defined as: :$H = \set 0 \cup \openint 1 2$ From Limit Point Examples: Union of Singleton with Open Real Interval, $0$ is not a limit point of $H$, although $0 \in H$. From Limit Point Examples: End Points of Real Interval, $a$ is a limit p...
Let $S$ be a [[Definition:Set|set]]. Let $H \subseteq S$ be a [[Definition:Subset|subset]] of $S$. Let $T = \struct {H, \tau}$ be a [[Definition:Topological Space|topological space]] on the [[Definition:Underlying Set of Topological Space|underlying set]] $H$. Let $a \in H$. Then $a$ may or may not be a [[Definiti...
Let $\R$ be the [[Definition:Real Number|set of real numbers]]. Let $H \subseteq \R$ be the [[Definition:Subset|subset]] of $\R$ defined as: :$H = \set 0 \cup \openint 1 2$ From [[Limit Point/Examples/Union of Singleton with Open Real Interval|Limit Point Examples: Union of Singleton with Open Real Interval]], $0$ is...
Element of Topological Space may or may not be Limit Point
https://proofwiki.org/wiki/Element_of_Topological_Space_may_or_may_not_be_Limit_Point
https://proofwiki.org/wiki/Element_of_Topological_Space_may_or_may_not_be_Limit_Point
[ "Limit Points" ]
[ "Definition:Set", "Definition:Subset", "Definition:Topological Space", "Definition:Underlying Set/Topological Space", "Definition:Limit Point/Topology" ]
[ "Definition:Real Number", "Definition:Subset", "Limit Point/Examples/Union of Singleton with Open Real Interval", "Definition:Limit Point/Topology", "Limit Point/Examples/End Points of Real Interval", "Definition:Limit Point/Topology" ]
proofwiki-17930
Countable Set may have Uncountable Limit Points
Let $S$ be an uncountable set. Let $H \subseteq S$ be a countable subset of $S$. Let $T = \struct {H, \tau}$ be a topological space on the underlying set $H$. Then despite the fact that $H$ is countable, the set of limit points of $T$ may be uncountable.
Let $\R$ be the set of real numbers. Let $\Q$ be the set of rational numbers. Let $x \in \R$. Then from Real Number is Limit Point of Rational Numbers in Real Numbers, $x$ is a limit point of $T$. As $x$ is arbitrary, it follows that every element of $\R$ is a limit point of $T$. From Rational Numbers are Countably Inf...
Let $S$ be an [[Definition:Uncountable Set|uncountable set]]. Let $H \subseteq S$ be a [[Definition:Countable Set|countable]] [[Definition:Subset|subset]] of $S$. Let $T = \struct {H, \tau}$ be a [[Definition:Topological Space|topological space]] on the [[Definition:Underlying Set of Topological Space|underlying set]...
Let $\R$ be the [[Definition:Real Number|set of real numbers]]. Let $\Q$ be the [[Definition:Rational Number|set of rational numbers]]. Let $x \in \R$. Then from [[Real Number is Limit Point of Rational Numbers in Real Numbers]], $x$ is a [[Definition:Limit Point (Topology)|limit point]] of $T$. As $x$ is arbitrary...
Countable Set may have Uncountable Limit Points
https://proofwiki.org/wiki/Countable_Set_may_have_Uncountable_Limit_Points
https://proofwiki.org/wiki/Countable_Set_may_have_Uncountable_Limit_Points
[ "Limit Points" ]
[ "Definition:Uncountable/Set", "Definition:Countable Set", "Definition:Subset", "Definition:Topological Space", "Definition:Underlying Set/Topological Space", "Definition:Countable Set", "Definition:Set", "Definition:Limit Point/Topology", "Definition:Uncountable/Set" ]
[ "Definition:Real Number", "Definition:Rational Number", "Real Number is Limit Point of Rational Numbers in Real Numbers", "Definition:Limit Point/Topology", "Definition:Element", "Definition:Limit Point/Topology", "Rational Numbers are Countably Infinite", "Definition:Countable Set", "Real Numbers a...
proofwiki-17931
Condition for Point being in Closure/Metric Space
Let $M = \struct {S, d}$ be a metric space. Let $H \subseteq S$. Let $\map \cl H$ denote the closure of $H$ in $M$. Let $x \in S$. Then $x \in \map \cl H$ {{iff}}: :$\forall \epsilon \in \R_{>0}: \map {B_\epsilon} x \cap H \ne \O$ where $\map {B_\epsilon} x$ denotes the open $\epsilon$-ball of $x$.
By definition of closure of $H$ in $M$: :$\map \cl H = H^i \cup H'$ where: :$H^i$ denotes the set of isolated points of $H$ :$H'$ denotes the set of limit points of $H$.
Let $M = \struct {S, d}$ be a [[Definition:Metric Space|metric space]]. Let $H \subseteq S$. Let $\map \cl H$ denote the [[Definition:Closure (Metric Space)|closure]] of $H$ in $M$. Let $x \in S$. Then $x \in \map \cl H$ {{iff}}: :$\forall \epsilon \in \R_{>0}: \map {B_\epsilon} x \cap H \ne \O$ where $\map {B_\ep...
By definition of [[Definition:Closure (Metric Space)|closure]] of $H$ in $M$: :$\map \cl H = H^i \cup H'$ where: :$H^i$ denotes the [[Definition:Set|set]] of [[Definition:Isolated Point of Subset of Metric Space|isolated points]] of $H$ :$H'$ denotes the [[Definition:Set|set]] of [[Definition:Limit Point (Metric Space...
Condition for Point being in Closure/Metric Space
https://proofwiki.org/wiki/Condition_for_Point_being_in_Closure/Metric_Space
https://proofwiki.org/wiki/Condition_for_Point_being_in_Closure/Metric_Space
[ "Set Closures", "Condition for Point being in Closure" ]
[ "Definition:Metric Space", "Definition:Closure (Topology)/Metric Space", "Definition:Open Ball" ]
[ "Definition:Closure (Topology)/Metric Space", "Definition:Set", "Definition:Isolated Point (Metric Space)/Subset", "Definition:Set", "Definition:Limit Point/Metric Space", "Definition:Isolated Point (Metric Space)/Subset", "Definition:Isolated Point (Metric Space)/Subset", "Definition:Limit Point/Metr...
proofwiki-17932
Equivalence of Definitions of Everywhere Dense
{{TFAE|def = Everywhere Dense}} Let $T = \struct {S, \tau}$ be a topological space. Let $H \subseteq S$ be a subset.
=== $(1)$ implies $(2)$ === Let $H$ be a subset of $S$ which is everywhere dense in $T$ by definition $1$. Then by definition: :$H^- = S$ where $H^-$ is the closure of $H$. {{AimForCont}} there exists $U \in \tau$ such that $U \cap H = \O$. Let $x \in S$ such that $x \in U$. Thus $U$ is an open set of $T$ which does no...
{{TFAE|def = Everywhere Dense}} Let $T = \struct {S, \tau}$ be a [[Definition:Topological Space|topological space]]. Let $H \subseteq S$ be a [[Definition:Subset|subset]].
=== $(1)$ implies $(2)$ === Let $H$ be a [[Definition:Subset|subset]] of $S$ which is [[Definition:Everywhere Dense/Definition 1|everywhere dense in $T$ by definition $1$]]. Then by definition: :$H^- = S$ where $H^-$ is the [[Definition:Closure (Topology)|closure]] of $H$. {{AimForCont}} there exists $U \in \tau$ s...
Equivalence of Definitions of Everywhere Dense
https://proofwiki.org/wiki/Equivalence_of_Definitions_of_Everywhere_Dense
https://proofwiki.org/wiki/Equivalence_of_Definitions_of_Everywhere_Dense
[ "Everywhere Dense" ]
[ "Definition:Topological Space", "Definition:Subset" ]
[ "Definition:Subset", "Definition:Everywhere Dense/Definition 1", "Definition:Closure (Topology)", "Definition:Open Set/Topology", "Definition:Element", "Definition:Distinct/Plural", "Definition:Open Set/Topology", "Definition:Element", "Definition:Limit Point/Topology/Set", "Definition:Closure (To...
proofwiki-17933
Closure of Open Ball may not equal Closed Ball of Same Radius
Let $M = \struct {A, d}$ be a metric space. Let $x \in A$. Let $\map {B_\epsilon} x$ be the open $\epsilon$-ball of $x$ of radius $\epsilon$ for some $\epsilon \in \R_{>0}$. Let $\map { {B_\epsilon}^-} x$ be the closed $\epsilon$-ball of $x$ of radius $\epsilon$. Then it is not necessarily the case that: :$\map \cl {\m...
Proof by Counterexample: Let $M = \struct {A, d}$ be the standard discrete metric space on a set $A$. From Closure of Open $1$-Ball in Standard Discrete Metric Space we have that: :$\map \cl {\map {B_1} x} = \set x$ but: {{begin-eqn}} {{eqn | l = \map { {B_1}^-} x | r = \set {y \in A: \map d {x, y} \le 1} |...
Let $M = \struct {A, d}$ be a [[Definition:Metric Space|metric space]]. Let $x \in A$. Let $\map {B_\epsilon} x$ be the [[Definition:Open Ball of Metric Space|open $\epsilon$-ball of $x$]] of [[Definition:Radius of Open Ball|radius]] $\epsilon$ for some $\epsilon \in \R_{>0}$. Let $\map { {B_\epsilon}^-} x$ be the [...
[[Proof by Counterexample]]: Let $M = \struct {A, d}$ be the [[Definition:Standard Discrete Metric|standard discrete metric space]] on a [[Definition:Set|set]] $A$. From [[Closure of Open 1-Ball in Standard Discrete Metric Space|Closure of Open $1$-Ball in Standard Discrete Metric Space]] we have that: :$\map \cl {\m...
Closure of Open Ball may not equal Closed Ball of Same Radius
https://proofwiki.org/wiki/Closure_of_Open_Ball_may_not_equal_Closed_Ball_of_Same_Radius
https://proofwiki.org/wiki/Closure_of_Open_Ball_may_not_equal_Closed_Ball_of_Same_Radius
[ "Open Balls" ]
[ "Definition:Metric Space", "Definition:Open Ball", "Definition:Open Ball/Radius", "Definition:Closed Ball/Metric Space", "Definition:Open Ball/Radius", "Definition:Closure (Topology)/Metric Space" ]
[ "Proof by Counterexample", "Definition:Standard Discrete Metric", "Definition:Set", "Closure of Open 1-Ball in Standard Discrete Metric Space" ]
proofwiki-17934
Set in Standard Discrete Metric Space has no Limit Points
Let $M = \struct {S, d}$ be the standard discrete metric space on a set $A$. Let $H \subseteq S$ be a subset of $S$. Then $H$ has no limit points.
By definition of the standard discrete metric: :$\map d {x, y} = \begin {cases} 0 & : x = y \\ 1 & : x \ne y \end {cases}$ Let $\alpha \in S$. By definition, $\alpha$ is a limit point of $H$ {{iff}} ''every'' deleted $\epsilon$-neighborhood $\map {B_\epsilon} \alpha \setminus \set \alpha$ of $\alpha$ contains a point i...
Let $M = \struct {S, d}$ be the [[Definition:Standard Discrete Metric|standard discrete metric space]] on a [[Definition:Set|set]] $A$. Let $H \subseteq S$ be a [[Definition:Subset|subset]] of $S$. Then $H$ has no [[Definition:Limit Point (Metric Space)|limit points]].
By definition of the [[Definition:Standard Discrete Metric|standard discrete metric]]: :$\map d {x, y} = \begin {cases} 0 & : x = y \\ 1 & : x \ne y \end {cases}$ Let $\alpha \in S$. By definition, $\alpha$ is a [[Definition:Limit Point (Metric Space)|limit point]] of $H$ {{iff}} ''every'' [[Definition:Deleted Neig...
Set in Standard Discrete Metric Space has no Limit Points
https://proofwiki.org/wiki/Set_in_Standard_Discrete_Metric_Space_has_no_Limit_Points
https://proofwiki.org/wiki/Set_in_Standard_Discrete_Metric_Space_has_no_Limit_Points
[ "Standard Discrete Metric", "Examples of Limit Points" ]
[ "Definition:Standard Discrete Metric", "Definition:Set", "Definition:Subset", "Definition:Limit Point/Metric Space" ]
[ "Definition:Standard Discrete Metric", "Definition:Limit Point/Metric Space", "Definition:Deleted Neighborhood/Metric Space", "Definition:Open Ball", "Intersection with Empty Set", "Definition:Deleted Neighborhood/Metric Space", "Definition:Limit Point/Metric Space", "Category:Standard Discrete Metric...
proofwiki-17935
Closure of Open 1-Ball in Standard Discrete Metric Space
Let $M = \struct {A, d}$ be the standard discrete metric space on a set $A$. Let $x \in A$. Let $\map {B_1} x$ be the open $1$-ball of $x$ in $M$. Then: :$\map \cl {\map {B_1} x} = \set x$ while: :$\set {y \in A: \map d {x, y} \le 1} = A$
By definition of the standard discrete metric: :$\map d {x, y} = \begin {cases} 0 & : x = y \\ 1 & : x \ne y \end {cases}$ That is: :$\forall \tuple {x, y} \in A: \map d {x, y} \le 1$ Thus: :$\set {y \in A: \map d {x, y} \le 1} = A$ From Open Ball in Standard Discrete Metric Space: :$\map {B_1} x = \set x$ Let $y \in...
Let $M = \struct {A, d}$ be the [[Definition:Standard Discrete Metric|standard discrete metric space]] on a [[Definition:Set|set]] $A$. Let $x \in A$. Let $\map {B_1} x$ be the [[Definition:Open Ball of Metric Space|open $1$-ball of $x$]] in $M$. Then: :$\map \cl {\map {B_1} x} = \set x$ while: :$\set {y \in A: \...
By definition of the [[Definition:Standard Discrete Metric|standard discrete metric]]: :$\map d {x, y} = \begin {cases} 0 & : x = y \\ 1 & : x \ne y \end {cases}$ That is: :$\forall \tuple {x, y} \in A: \map d {x, y} \le 1$ Thus: :$\set {y \in A: \map d {x, y} \le 1} = A$ From [[Open Ball in Standard Discrete Me...
Closure of Open 1-Ball in Standard Discrete Metric Space
https://proofwiki.org/wiki/Closure_of_Open_1-Ball_in_Standard_Discrete_Metric_Space
https://proofwiki.org/wiki/Closure_of_Open_1-Ball_in_Standard_Discrete_Metric_Space
[ "Open Balls" ]
[ "Definition:Standard Discrete Metric", "Definition:Set", "Definition:Open Ball" ]
[ "Definition:Standard Discrete Metric", "Open Ball in Standard Discrete Metric Space", "Definition:Closure (Topology)/Metric Space", "Definition:Set", "Definition:Isolated Point (Metric Space)/Subset", "Definition:Set", "Definition:Limit Point/Metric Space", "Point in Standard Discrete Metric Space is ...
proofwiki-17936
Point in Standard Discrete Metric Space is Isolated
Let $M = \struct {S, d}$ be the standard discrete metric space on a set $A$. Let $H \subseteq S$ be a subset of $S$. Let $\alpha \in H$. The $\alpha$ is an isolated point of $H$.
By definition of the standard discrete metric: :$\map d {x, y} = \begin {cases} 0 & : x = y \\ 1 & : x \ne y \end {cases}$ Let $\alpha \in H$. Let $\map {B_1} \alpha$ be the open $1$-ball of $\alpha$ in $M$. Thus: {{begin-eqn}} {{eqn | l = \map {B_1} \alpha \cap H | r = \set {y \in H: \map d {\alpha, y} < 1} ...
Let $M = \struct {S, d}$ be the [[Definition:Standard Discrete Metric|standard discrete metric space]] on a [[Definition:Set|set]] $A$. Let $H \subseteq S$ be a [[Definition:Subset|subset]] of $S$. Let $\alpha \in H$. The $\alpha$ is an [[Definition:Isolated Point of Subset of Metric Space|isolated point]] of $H$.
By definition of the [[Definition:Standard Discrete Metric|standard discrete metric]]: :$\map d {x, y} = \begin {cases} 0 & : x = y \\ 1 & : x \ne y \end {cases}$ Let $\alpha \in H$. Let $\map {B_1} \alpha$ be the [[Definition:Open Ball of Metric Space|open $1$-ball of $\alpha$]] in $M$. Thus: {{begin-eqn}} {{eqn...
Point in Standard Discrete Metric Space is Isolated
https://proofwiki.org/wiki/Point_in_Standard_Discrete_Metric_Space_is_Isolated
https://proofwiki.org/wiki/Point_in_Standard_Discrete_Metric_Space_is_Isolated
[ "Standard Discrete Metric", "Isolated Points" ]
[ "Definition:Standard Discrete Metric", "Definition:Set", "Definition:Subset", "Definition:Isolated Point (Metric Space)/Subset" ]
[ "Definition:Standard Discrete Metric", "Definition:Open Ball", "Definition:Isolated Point (Metric Space)/Subset", "Category:Standard Discrete Metric", "Category:Isolated Points" ]
proofwiki-17937
Interior of Set of Rational Numbers in Real Numbers is Empty
Let $\struct {\R, \tau_d}$ be the real number line with the usual (Euclidean) topology. Let $\Q$ be the subspace of rational numbers. Then the interior of $\Q$ in $\R$ is the empty set $\O$.
Consider the set of set of irrational numbers $\R \setminus \Q$. By definition: :$\R \setminus \Q = \relcomp \R \Q$ where $\relcomp \R \Q$ denotes the relative complement of $\Q$ in $\R$. We have that Irrationals are Everywhere Dense in Reals. Hence by definition of everywhere dense, the closure of $\R \setminus \Q$ in...
Let $\struct {\R, \tau_d}$ be the [[Definition:Real Number Line with Euclidean Topology|real number line with the usual (Euclidean) topology]]. Let $\Q$ be the [[Definition:Topological Subspace|subspace]] of [[Definition:Rational Number|rational numbers]]. Then the [[Definition:Interior (Topology)|interior]] of $\Q...
Consider the [[Definition:Set|set]] of [[Definition:Irrational Number|set of irrational numbers]] $\R \setminus \Q$. By definition: :$\R \setminus \Q = \relcomp \R \Q$ where $\relcomp \R \Q$ denotes the [[Definition:Relative Complement|relative complement]] of $\Q$ in $\R$. We have that [[Irrationals are Everywhere D...
Interior of Set of Rational Numbers in Real Numbers is Empty
https://proofwiki.org/wiki/Interior_of_Set_of_Rational_Numbers_in_Real_Numbers_is_Empty
https://proofwiki.org/wiki/Interior_of_Set_of_Rational_Numbers_in_Real_Numbers_is_Empty
[ "Examples of Set Interiors", "Rational Number Space" ]
[ "Definition:Euclidean Space/Euclidean Topology/Real Number Line", "Definition:Topological Subspace", "Definition:Rational Number", "Definition:Interior (Topology)", "Definition:Empty Set" ]
[ "Definition:Set", "Definition:Irrational Number", "Definition:Relative Complement", "Irrationals are Everywhere Dense in Reals", "Definition:Everywhere Dense", "Definition:Closure (Topology)", "Relative Complement with Self is Empty Set", "Interior equals Complement of Closure of Complement" ]
proofwiki-17938
Equivalence of Definitions of Nowhere Dense
Let $T = \struct {S, \tau}$ be a topological space. Let $H \subseteq S$. {{TFAE|def = Nowhere Dense}}
=== $(1)$ implies $(2)$ === Let $H$ be nowhere dense in $T$ by definition $1$. Then by definition: :$\paren {H^-}^\circ = \O$ Hence by definition of interior: :the union of all subsets of $H$ which are open in $T$. But this union is empty. Hence all subsets of $H$ which are open in $T$ must themselves be empty. Thus $H...
Let $T = \struct {S, \tau}$ be a [[Definition:Topological Space|topological space]]. Let $H \subseteq S$. {{TFAE|def = Nowhere Dense}}
=== $(1)$ implies $(2)$ === Let $H$ be [[Definition:Nowhere Dense/Definition 1|nowhere dense in $T$ by definition $1$]]. Then by definition: :$\paren {H^-}^\circ = \O$ Hence by definition of [[Definition:Interior (Topology)|interior]]: :the [[Definition:Set Union|union]] of all [[Definition:Subset|subsets]] of $H$ ...
Equivalence of Definitions of Nowhere Dense
https://proofwiki.org/wiki/Equivalence_of_Definitions_of_Nowhere_Dense
https://proofwiki.org/wiki/Equivalence_of_Definitions_of_Nowhere_Dense
[ "Nowhere Dense" ]
[ "Definition:Topological Space" ]
[ "Definition:Nowhere Dense/Definition 1", "Definition:Interior (Topology)", "Definition:Set Union", "Definition:Subset", "Definition:Open Set/Topology", "Definition:Set Union", "Definition:Empty Set", "Definition:Subset", "Definition:Open Set/Topology", "Definition:Empty Set", "Definition:Nowhere...
proofwiki-17939
Exponential Distribution in terms of Beta Distribution
Let $\sequence {X_n}$ be a sequence of independent random variables with: :$X_n \sim \BetaDist 1 n$ for each natural number $n$, where $\BetaDist 1 n$ denotes the beta distribution with parameters $1$ and $n$. Then: :$n X_n \xrightarrow d X$ with: :$X \sim \Exponential 1$ where: :$\Exponential 1$ denotes the exponen...
We aim to show that for each real $x > 0$, we have: :$\ds \lim_{n \mathop \to \infty} \map \Pr {X_n \le x} = \map \Pr {X \le x}$ From the definition of the exponential distribution, we have: :$\map \Pr {X \le x} = 1 - e^{-x}$ Note that, from the definition of the beta distribution: :$0 \le X_n \le 1$ So, if $n \le x$...
Let $\sequence {X_n}$ be a sequence of [[Definition:Independent Random Variables|independent]] [[Definition:Random Variable|random variables]] with: :$X_n \sim \BetaDist 1 n$ for each [[Definition:Natural Number|natural number]] $n$, where $\BetaDist 1 n$ denotes the [[Definition:Beta Distribution|beta distribution]]...
We aim to show that for each [[Definition:Real Number|real]] $x > 0$, we have: :$\ds \lim_{n \mathop \to \infty} \map \Pr {X_n \le x} = \map \Pr {X \le x}$ From the definition of the [[Definition:Exponential Distribution|exponential distribution]], we have: :$\map \Pr {X \le x} = 1 - e^{-x}$ Note that, from the d...
Exponential Distribution in terms of Beta Distribution
https://proofwiki.org/wiki/Exponential_Distribution_in_terms_of_Beta_Distribution
https://proofwiki.org/wiki/Exponential_Distribution_in_terms_of_Beta_Distribution
[ "Exponential Distribution", "Beta Distribution" ]
[ "Definition:Independent Random Variables", "Definition:Random Variable", "Definition:Natural Numbers", "Definition:Beta Distribution", "Definition:Exponential Distribution", "Definition:Convergence in Distribution" ]
[ "Definition:Real Number", "Definition:Exponential Distribution", "Definition:Beta Distribution", "Gamma Difference Equation", "Primitive of Power", "Definition:Exponential Function/Real/Limit of Sequence", "Category:Exponential Distribution", "Category:Beta Distribution" ]
proofwiki-17940
Topologies on Doubleton
Let $S = \set {a, b}$ be a doubleton. Then there exist $4$ possible different topologies on $S$: {{begin-eqn}} {{eqn | l = \tau_a | r = \set {\O, \set {a, b} } | c = Indiscrete topology on doubleton }} {{eqn | l = \tau_b | r = \set {\O, \set a, \set {a, b} } | c = Sierpiński topology }} {{eqn | ...
The power set of $S$ is the set: :$\powerset S = \set {\O, \set a, \set b, \set {a, b} }$ Because all topologies on $S$ are subsets of $\powerset S$, one of the following must hold: {{begin-eqn}} {{eqn | l = \tau_1 | r = \O | c = }} {{eqn | l = \tau_2 | r = \set \O | c = }} {{eqn | l = \tau_3 ...
Let $S = \set {a, b}$ be a [[Definition:Doubleton|doubleton]]. Then there exist $4$ possible different [[Definition:Topology|topologies]] on $S$: {{begin-eqn}} {{eqn | l = \tau_a | r = \set {\O, \set {a, b} } | c = [[Definition:Indiscrete Topology on Doubleton|Indiscrete topology on doubleton]] }} {{eqn |...
The [[Definition:Power Set|power set]] of $S$ is the set: :$\powerset S = \set {\O, \set a, \set b, \set {a, b} }$ Because all [[Definition:Topology|topologies]] on $S$ are [[Definition:Subset|subsets]] of $\powerset S$, one of the following must hold: {{begin-eqn}} {{eqn | l = \tau_1 | r = \O | c = }} ...
Topologies on Doubleton
https://proofwiki.org/wiki/Topologies_on_Doubleton
https://proofwiki.org/wiki/Topologies_on_Doubleton
[ "Doubletons", "Examples of Topologies" ]
[ "Definition:Doubleton", "Definition:Topology", "Definition:Indiscrete Topology on Two-Point Set", "Definition:Sierpiński Space", "Definition:Sierpiński Space", "Definition:Discrete Topology on Two-Point Set" ]
[ "Definition:Power Set", "Definition:Topology", "Definition:Subset", "Definition:Topology", "Definition:Element", "Definition:Topology", "Definition:Topology", "Empty Set is Element of Topology", "Definition:Topology", "Definition:Topology", "Indiscrete Topology is Topology", "Definition:Topolo...
proofwiki-17941
Topologies on Set with 3 Elements
Let $S = \set {a, b, c}$ be a set with $3$ elements. Then there exist $29$ possible different topologies on $S$.
The power set of $S$ is the set: :$\powerset S = \set {\O, \set a, \set b, \set c, \set {a, b}, \set {a, c}, \set {b, c}, \set {a, b, c} }$ A topology on $S$ is a subset of $\powerset S$. Thus the set of all topologies on $S$ is a subset of the power set of $\powerset S$. From Cardinality of Power Set of Finite Set: :$...
Let $S = \set {a, b, c}$ be a [[Definition:Set|set]] with $3$ [[Definition:Element|elements]]. Then there exist $29$ possible different [[Definition:Topology|topologies]] on $S$.
The [[Definition:Power Set|power set]] of $S$ is the set: :$\powerset S = \set {\O, \set a, \set b, \set c, \set {a, b}, \set {a, c}, \set {b, c}, \set {a, b, c} }$ A [[Definition:Topology|topology]] on $S$ is a [[Definition:Subset|subset]] of $\powerset S$. Thus the [[Definition:Set|set]] of all [[Definition:Topolo...
Topologies on Set with 3 Elements
https://proofwiki.org/wiki/Topologies_on_Set_with_3_Elements
https://proofwiki.org/wiki/Topologies_on_Set_with_3_Elements
[ "Topologies on Set with 3 Elements", "Examples of Topologies", "3" ]
[ "Definition:Set", "Definition:Element", "Definition:Topology" ]
[ "Definition:Power Set", "Definition:Topology", "Definition:Subset", "Definition:Set", "Definition:Topology", "Definition:Subset", "Definition:Power Set", "Cardinality of Power Set of Finite Set", "Definition:Subset", "Definition:Topology", "Definition:Subset", "Definition:Topology", "Definit...
proofwiki-17942
Set of 2-Dimensional Real Orthogonal Matrices is Compact in Normed Real Square Matrix Vector Space
Let $\struct {\R^{2 \times2}, \norm {\, \cdot \,}_\infty}$ be the normed 2-dimensional real square matrix vector space. Let $\map O 2 := \set {\mathbf R \in \R^{2 \times2}: \mathbf R^\intercal \mathbf R = \mathbf I_2}$ be the orthogonal group of degree $2$ over real numbers. Then $\map O 2$ is a compact set in $\struct...
{{tidy|eqn template could (and probably should) be used on this page to good effect}} Let $\sequence {\mathbf R_n}_{n \mathop \in \N}$ be a sequence in $\map O 2$. Let: :<nowiki>$\begin {bmatrix} a_n & b_n \\ c_n & d_n \\ \end {bmatrix} := \mathbf R_n$</nowiki> where $\sequence {a_n}_{n \mathop \in \N}$, $\sequence {b_...
Let $\struct {\R^{2 \times2}, \norm {\, \cdot \,}_\infty}$ be the [[Definition:Normed 2-Dimensional Real Square Matrix Vector Space|normed 2-dimensional real square matrix vector space]]. Let $\map O 2 := \set {\mathbf R \in \R^{2 \times2}: \mathbf R^\intercal \mathbf R = \mathbf I_2}$ be the [[Definition:Orthogonal G...
{{tidy|eqn template could (and probably should) be used on this page to good effect}} Let $\sequence {\mathbf R_n}_{n \mathop \in \N}$ be a [[Definition:Sequence|sequence]] in $\map O 2$. Let: :<nowiki>$\begin {bmatrix} a_n & b_n \\ c_n & d_n \\ \end {bmatrix} := \mathbf R_n$</nowiki> where $\sequence {a_n}_{n \mat...
Set of 2-Dimensional Real Orthogonal Matrices is Compact in Normed Real Square Matrix Vector Space
https://proofwiki.org/wiki/Set_of_2-Dimensional_Real_Orthogonal_Matrices_is_Compact_in_Normed_Real_Square_Matrix_Vector_Space
https://proofwiki.org/wiki/Set_of_2-Dimensional_Real_Orthogonal_Matrices_is_Compact_in_Normed_Real_Square_Matrix_Vector_Space
[ "Matrix Groups", "Compact Normed Vector Spaces" ]
[ "Definition:Normed 2-Dimensional Real Square Matrix Vector Space", "Definition:Orthogonal Group", "Definition:Real Number", "Definition:Compact Space/Normed Vector Space" ]
[ "Definition:Sequence", "Definition:Real Sequence", "Bolzano-Weierstrass Theorem", "Definition:Set", "Definition:Finite Subset", "Definition:Set", "Definition:Real Number", "Real Numbers form Totally Ordered Field", "Finite Non-Empty Subset of Ordered Set has Maximal and Minimal Elements", "Definit...
proofwiki-17943
Mapping from Unit Circle defines Periodic Function
Let $\SS$ denote the unit circle whose center is at the origin of the Cartesian plane $\R^2$. Let $p: \R \to \SS$ be the mapping defined as: :$\forall x \in \R: \map p x = \tuple {\cos x, \sin x}$ Let $f': \SS \to \R$ be a real-valued function. Then the composition $f' \circ p$ defines a periodic real function whose pe...
Let $f := f' \circ p$ denote the composition of $f$ with $p$. We have: {{begin-eqn}} {{eqn | q = \forall x \in \R | l = \map f {x + 2 \pi} | r = \map {f'} {\map p {x + 2 \pi} } | c = {{Defof|Composition of Mappings}} }} {{eqn | r = \map {f'} {\map \cos {x + 2 \pi}, \map \sin {x + 2 \pi} } | c = ...
Let $\SS$ denote the [[Definition:Unit Circle|unit circle]] whose [[Definition:Center of Circle|center]] is at the [[Definition:Origin|origin]] of the [[Definition:Cartesian Plane|Cartesian plane]] $\R^2$. Let $p: \R \to \SS$ be the [[Definition:Mapping|mapping]] defined as: :$\forall x \in \R: \map p x = \tuple {\cos...
Let $f := f' \circ p$ denote the [[Definition:Composition of Mappings|composition]] of $f$ with $p$. We have: {{begin-eqn}} {{eqn | q = \forall x \in \R | l = \map f {x + 2 \pi} | r = \map {f'} {\map p {x + 2 \pi} } | c = {{Defof|Composition of Mappings}} }} {{eqn | r = \map {f'} {\map \cos {x + 2 \...
Mapping from Unit Circle defines Periodic Function
https://proofwiki.org/wiki/Mapping_from_Unit_Circle_defines_Periodic_Function
https://proofwiki.org/wiki/Mapping_from_Unit_Circle_defines_Periodic_Function
[ "Periodic Functions" ]
[ "Definition:Unit Circle", "Definition:Circle/Center", "Definition:Coordinate System/Origin", "Definition:Cartesian Plane", "Definition:Mapping", "Definition:Real-Valued Function", "Definition:Composition of Mappings", "Definition:Periodic Function/Real", "Definition:Periodic Real Function/Period" ]
[ "Definition:Composition of Mappings", "Cosine of Angle plus Full Angle", "Sine of Angle plus Full Angle" ]
proofwiki-17944
Periodic Function as Mapping from Unit Circle
Let $\SS$ denote the unit circle whose center is at the origin of the Cartesian plane $\R^2$. Let $p: \R \to \SS$ be the mapping defined as: :$\forall x \in \R: \map p x = \tuple {\cos x, \sin x}$ Let $f: \R \to \R$ be a periodic real function whose period is $2 \pi$. Then there exists a well-defined real-valued functi...
Let $f': \SS \to \R$ be defined as: :$\forall \tuple {x, y} \in \SS: \map {f'} {x, y} = \map f x$ Consider the inverse $p^{-1}: \SS \to \R$ of $p$: :$\forall \tuple {x', y'} \in \SS: p^{-1} \sqbrk {x', y'} = \set {x \in \R: \cos x = x', \sin x = y'}$ Let $\RR$ be the equivalence relation on $\R$ induced by $p$: :$\fora...
Let $\SS$ denote the [[Definition:Unit Circle|unit circle]] whose [[Definition:Center of Circle|center]] is at the [[Definition:Origin|origin]] of the [[Definition:Cartesian Plane|Cartesian plane]] $\R^2$. Let $p: \R \to \SS$ be the [[Definition:Mapping|mapping]] defined as: :$\forall x \in \R: \map p x = \tuple {\cos...
Let $f': \SS \to \R$ be defined as: :$\forall \tuple {x, y} \in \SS: \map {f'} {x, y} = \map f x$ Consider the [[Definition:Inverse of Mapping|inverse]] $p^{-1}: \SS \to \R$ of $p$: :$\forall \tuple {x', y'} \in \SS: p^{-1} \sqbrk {x', y'} = \set {x \in \R: \cos x = x', \sin x = y'}$ Let $\RR$ be the [[Definition:E...
Periodic Function as Mapping from Unit Circle
https://proofwiki.org/wiki/Periodic_Function_as_Mapping_from_Unit_Circle
https://proofwiki.org/wiki/Periodic_Function_as_Mapping_from_Unit_Circle
[ "Periodic Functions" ]
[ "Definition:Unit Circle", "Definition:Circle/Center", "Definition:Coordinate System/Origin", "Definition:Cartesian Plane", "Definition:Mapping", "Definition:Periodic Function/Real", "Definition:Periodic Real Function/Period", "Definition:Well-Defined/Mapping", "Definition:Real-Valued Function", "D...
[ "Definition:Inverse of Mapping", "Definition:Equivalence Relation Induced by Mapping", "Quotient Theorem for Sets", "Definition:Well-Defined/Mapping", "Definition:Periodic Function/Real", "Definition:Periodic Real Function/Period", "Conditions for Commutative Diagram on Quotient Mappings between Mapping...
proofwiki-17945
Periodic Function is Continuous iff Mapping from Unit Circle is Continuous
Let $f: \R \to \R$ be a periodic real function whose period is $2 \pi$. Let $\SS$ denote the unit circle whose center is at the origin of the Cartesian plane $\R^2$. Let $p: \R \to \SS$ be the mapping defined as: :$\forall x \in \R: \map p x = \tuple {\cos x, \sin x}$ Let $f': \SS \to \R$ be the well-defined real-value...
The existence and well-definedness of $f'$ are demonstrated in Periodic Function as Mapping from Unit Circle.
Let $f: \R \to \R$ be a [[Definition:Periodic Real Function|periodic real function]] whose [[Definition:Period of Periodic Real Function|period]] is $2 \pi$. Let $\SS$ denote the [[Definition:Unit Circle|unit circle]] whose [[Definition:Center of Circle|center]] is at the [[Definition:Origin|origin]] of the [[Definiti...
The existence and [[Definition:Well-Defined Mapping|well-definedness]] of $f'$ are demonstrated in [[Periodic Function as Mapping from Unit Circle]].
Periodic Function is Continuous iff Mapping from Unit Circle is Continuous
https://proofwiki.org/wiki/Periodic_Function_is_Continuous_iff_Mapping_from_Unit_Circle_is_Continuous
https://proofwiki.org/wiki/Periodic_Function_is_Continuous_iff_Mapping_from_Unit_Circle_is_Continuous
[ "Periodic Functions" ]
[ "Definition:Periodic Function/Real", "Definition:Periodic Real Function/Period", "Definition:Unit Circle", "Definition:Circle/Center", "Definition:Coordinate System/Origin", "Definition:Cartesian Plane", "Definition:Mapping", "Definition:Well-Defined/Mapping", "Definition:Real-Valued Function", "D...
[ "Definition:Well-Defined/Mapping", "Periodic Function as Mapping from Unit Circle" ]
proofwiki-17946
Set of 2-Dimensional Indefinite Real Orthogonal Matrices is not Compact in Normed Real Square Matrix Vector Space
Let $\struct {\R^{2 \times2}, \norm {\, \cdot \,}_\infty}$ be the normed real matrix vector space. Let $\map O {1, 1} := \set {\mathbf R \in \R^{2 \times2} : \mathbf R^\intercal \mathbf J_{1,1} \mathbf R = \mathbf J_{1,1}}$ be the indefinite orthogonal group of degree $\paren {1, 1}$ over real numbers where: :<nowiki>$...
Let: :<nowiki>$\begin{bmatrix} \map \cosh t& \map \sinh t\\ \map \sinh t & \map \cosh t \\ \end{bmatrix} := \map {\mathbf R} t$</nowiki> We have that: {{begin-eqn}} {{eqn | l = \map {\mathbf R^\intercal} t \mathbf J_{1,1} \map {\mathbf R} t | r = <nowiki>\begin{bmatrix} \map \cosh t & \map \sinh t \\ \map \sinh t...
Let $\struct {\R^{2 \times2}, \norm {\, \cdot \,}_\infty}$ be the [[Definition:Normed Real Matrix Vector Space|normed real matrix vector space]]. Let $\map O {1, 1} := \set {\mathbf R \in \R^{2 \times2} : \mathbf R^\intercal \mathbf J_{1,1} \mathbf R = \mathbf J_{1,1}}$ be the [[Definition:Indefinite Orthogonal Group|...
Let: :<nowiki>$\begin{bmatrix} \map \cosh t& \map \sinh t\\ \map \sinh t & \map \cosh t \\ \end{bmatrix} := \map {\mathbf R} t$</nowiki> We have that: {{begin-eqn}} {{eqn | l = \map {\mathbf R^\intercal} t \mathbf J_{1,1} \map {\mathbf R} t | r = <nowiki>\begin{bmatrix} \map \cosh t & \map \sinh t \\ \map \sin...
Set of 2-Dimensional Indefinite Real Orthogonal Matrices is not Compact in Normed Real Square Matrix Vector Space
https://proofwiki.org/wiki/Set_of_2-Dimensional_Indefinite_Real_Orthogonal_Matrices_is_not_Compact_in_Normed_Real_Square_Matrix_Vector_Space
https://proofwiki.org/wiki/Set_of_2-Dimensional_Indefinite_Real_Orthogonal_Matrices_is_not_Compact_in_Normed_Real_Square_Matrix_Vector_Space
[ "Matrix Groups", "Compact Normed Vector Spaces" ]
[ "Definition:Normed Real Matrix Vector Space", "Definition:Indefinite Orthogonal Group", "Definition:Real Number", "Definition:Compact Space/Normed Vector Space" ]
[ "Difference of Squares of Hyperbolic Cosine and Sine", "Difference of Squares of Hyperbolic Cosine and Sine", "Definition:Set", "Definition:Matrix/Element", "Definition:Finite Subset", "Definition:Set", "Definition:Real Number", "Real Numbers form Totally Ordered Field", "Finite Non-Empty Subset of ...
proofwiki-17947
Real-Valued Mapping is Continuous if Inverse Images of Unbounded Open Intervals are Open
Let $T = \struct {S, \tau}$ be a topological space. Let the real number line $\R$ be considered as a topology under the usual (Euclidean) topology. Let $f: T \to \R$ be a real-valued function on $T$. Then: :$f$ is continuous {{iff}}: :for all $a \in \R$: $f^{-1} \openint \gets a$ and $f^{-1} \openint a \to$ are open in...
=== Sufficient Condition === Let $f$ be a continuous mapping. From {{Corollary|Open Real Interval is Open Set}}, both $\openint \gets a$ and $\openint a \to$ are open in $\R$. Then by definition of continuous mapping, $f^{-1} \openint \gets a$ and $f^{-1} \openint a \to$ are both open in $T$. {{qed|lemma}} === Necessar...
Let $T = \struct {S, \tau}$ be a [[Definition:Topological Space|topological space]]. Let the [[Definition:Real Number Line|real number line]] $\R$ be considered as a [[Definition:Topology|topology]] under the [[Definition:Euclidean Topology on Real Number Line|usual (Euclidean) topology]]. Let $f: T \to \R$ be a [[De...
=== Sufficient Condition === Let $f$ be a [[Definition:Continuous Mapping (Topology)|continuous mapping]]. From {{Corollary|Open Real Interval is Open Set}}, both $\openint \gets a$ and $\openint a \to$ are [[Definition:Open Set (Topology)|open]] in $\R$. Then by definition of [[Definition:Continuous Mapping (Topolo...
Real-Valued Mapping is Continuous if Inverse Images of Unbounded Open Intervals are Open/Proof 1
https://proofwiki.org/wiki/Real-Valued_Mapping_is_Continuous_if_Inverse_Images_of_Unbounded_Open_Intervals_are_Open
https://proofwiki.org/wiki/Real-Valued_Mapping_is_Continuous_if_Inverse_Images_of_Unbounded_Open_Intervals_are_Open/Proof_1
[ "Real-Valued Mapping is Continuous if Inverse Images of Unbounded Open Intervals are Open", "Continuous Real-Valued Functions" ]
[ "Definition:Topological Space", "Definition:Real Number/Real Number Line", "Definition:Topology", "Definition:Euclidean Space/Euclidean Topology/Real Number Line", "Definition:Real-Valued Function", "Definition:Continuous Mapping (Topology)", "Definition:Open Set/Topology" ]
[ "Definition:Continuous Mapping (Topology)", "Definition:Open Set/Topology", "Definition:Continuous Mapping (Topology)", "Definition:Open Set/Topology", "Definition:Open Set/Topology", "Sub-Basis for Real Number Line", "Definition:Sub-Basis", "Definition:Open Set/Topology", "Preimage of Intersection ...
proofwiki-17948
Real-Valued Mapping is Continuous if Inverse Images of Unbounded Open Intervals are Open
Let $T = \struct {S, \tau}$ be a topological space. Let the real number line $\R$ be considered as a topology under the usual (Euclidean) topology. Let $f: T \to \R$ be a real-valued function on $T$. Then: :$f$ is continuous {{iff}}: :for all $a \in \R$: $f^{-1} \openint \gets a$ and $f^{-1} \openint a \to$ are open in...
From Sub-Basis for Real Number Line: :$\set {\openint \gets a, \openint b \to: a, b \in \R}$ is a sub-basis for $\R$. The result follows from Continuity Test using Sub-Basis. {{qed}}
Let $T = \struct {S, \tau}$ be a [[Definition:Topological Space|topological space]]. Let the [[Definition:Real Number Line|real number line]] $\R$ be considered as a [[Definition:Topology|topology]] under the [[Definition:Euclidean Topology on Real Number Line|usual (Euclidean) topology]]. Let $f: T \to \R$ be a [[De...
From [[Sub-Basis for Real Number Line]]: :$\set {\openint \gets a, \openint b \to: a, b \in \R}$ is a [[Definition:Sub-Basis|sub-basis]] for $\R$. The result follows from [[Continuity Test using Sub-Basis]]. {{qed}}
Real-Valued Mapping is Continuous if Inverse Images of Unbounded Open Intervals are Open/Proof 2
https://proofwiki.org/wiki/Real-Valued_Mapping_is_Continuous_if_Inverse_Images_of_Unbounded_Open_Intervals_are_Open
https://proofwiki.org/wiki/Real-Valued_Mapping_is_Continuous_if_Inverse_Images_of_Unbounded_Open_Intervals_are_Open/Proof_2
[ "Real-Valued Mapping is Continuous if Inverse Images of Unbounded Open Intervals are Open", "Continuous Real-Valued Functions" ]
[ "Definition:Topological Space", "Definition:Real Number/Real Number Line", "Definition:Topology", "Definition:Euclidean Space/Euclidean Topology/Real Number Line", "Definition:Real-Valued Function", "Definition:Continuous Mapping (Topology)", "Definition:Open Set/Topology" ]
[ "Sub-Basis for Real Number Line", "Definition:Sub-Basis", "Continuity Test using Sub-Basis" ]
proofwiki-17949
Open Balls on Rational Centers form Basis for Usual Topology on Plane
Let $\R^2$ be the real number plane with the usual (Euclidean) topology. Let $S$ be the set defined as: :$S = \set {\tuple {x, y} \in \R^2: x, y \in \Q}$ That is, let $S$ be the set of all points in $\R^2$ whose coordinates are rational numbers. Let $\BB$ denote the set defined as: :$\BB = \set {\map {B_q} s: s \in S, ...
Let $d: \R^2 \times \R^2 \to \R$ be the usual (Euclidean) metric on $\R^2$. Let $U$ be an open set of $\R^2$. Let $z = \tuple {x, y} \in U$. Then by definition of open set: :$\exists \epsilon \in \R_{>0}: \map {B_\epsilon} z \subseteq U$ By Rationals are Everywhere Dense in Topological Space of Reals: :$\exists \tuple ...
Let $\R^2$ be the [[Definition:Real Number Plane with Euclidean Topology|real number plane with the usual (Euclidean) topology]]. Let $S$ be the [[Definition:Set|set]] defined as: :$S = \set {\tuple {x, y} \in \R^2: x, y \in \Q}$ That is, let $S$ be the [[Definition:Set|set]] of all [[Definition:Point|points]] in $\...
Let $d: \R^2 \times \R^2 \to \R$ be the [[Definition:Euclidean Metric|usual (Euclidean) metric]] on $\R^2$. Let $U$ be an [[Definition:Open Set (Topology)|open set]] of $\R^2$. Let $z = \tuple {x, y} \in U$. Then by definition of [[Definition:Open Set (Topology)|open set]]: :$\exists \epsilon \in \R_{>0}: \map {B_\e...
Open Balls on Rational Centers form Basis for Usual Topology on Plane
https://proofwiki.org/wiki/Open_Balls_on_Rational_Centers_form_Basis_for_Usual_Topology_on_Plane
https://proofwiki.org/wiki/Open_Balls_on_Rational_Centers_form_Basis_for_Usual_Topology_on_Plane
[ "Topological Bases" ]
[ "Definition:Euclidean Space/Euclidean Topology/Real Number Plane", "Definition:Set", "Definition:Set", "Definition:Point", "Definition:Cartesian Coordinate System", "Definition:Rational Number", "Definition:Set", "Definition:Set", "Definition:Open Ball", "Definition:Open Ball/Center", "Definitio...
[ "Definition:Euclidean Metric", "Definition:Open Set/Topology", "Definition:Open Set/Topology", "Rational Numbers are Everywhere Dense in Set of Real Numbers/Topology", "Definition:Set Union", "Definition:Open Ball", "Definition:Open Ball/Center", "Definition:Rational Number", "Definition:Open Ball/R...
proofwiki-17950
Openness Relation on Topological Spaces is Transitive
Let $T_1 = \struct {S_1, \tau_1}$ be a topological space Let $S_2 \subseteq S_1$ be a subset of $S_1$. Let $S_3 \subseteq S_2$ be a subset of $S_2$. Let $T_2 = \struct {S_2, \tau_2}$ be the topological subspace of $T_1$ such that $\tau_2$ is the subspace topology induced by $\tau_1$. Let $T_3 = \struct {S_3, \tau_3}$ b...
We have by definition of subspace topology that: :$\tau_2 = \set {U \cap S_2: U \in \tau_1}$ Then we have {{hypothesis}} that: :$S_3 \in \tau_2$ and so: :$S_3 \in \set {U \cap S_2: U \in \tau_1}$ That is, $S_3$ is the intersection of $U$ and $S_2$, both of which are open sets of $T_1$. Hence by {{Open-set-axiom|2}}, $S...
Let $T_1 = \struct {S_1, \tau_1}$ be a [[Definition:Topological Space|topological space]] Let $S_2 \subseteq S_1$ be a [[Definition:Subset|subset]] of $S_1$. Let $S_3 \subseteq S_2$ be a [[Definition:Subset|subset]] of $S_2$. Let $T_2 = \struct {S_2, \tau_2}$ be the [[Definition:Topological Subspace|topological subs...
We have by definition of [[Definition:Subspace Topology|subspace topology]] that: :$\tau_2 = \set {U \cap S_2: U \in \tau_1}$ Then we have {{hypothesis}} that: :$S_3 \in \tau_2$ and so: :$S_3 \in \set {U \cap S_2: U \in \tau_1}$ That is, $S_3$ is the [[Definition:Set Intersection|intersection]] of $U$ and $S_2$, bot...
Openness Relation on Topological Spaces is Transitive
https://proofwiki.org/wiki/Openness_Relation_on_Topological_Spaces_is_Transitive
https://proofwiki.org/wiki/Openness_Relation_on_Topological_Spaces_is_Transitive
[ "Topological Subspaces" ]
[ "Definition:Topological Space", "Definition:Subset", "Definition:Subset", "Definition:Topological Subspace", "Definition:Topological Subspace", "Definition:Topological Subspace", "Definition:Topological Subspace", "Definition:Open Set/Topology", "Definition:Open Set/Topology", "Definition:Open Set...
[ "Definition:Topological Subspace", "Definition:Set Intersection", "Definition:Open Set/Topology", "Definition:Open Set/Topology" ]
proofwiki-17951
Induced Topology on Subspace of Subspace Coincides with Induced Topology on Subspace
Let $T_1 = \struct {S_1, \tau_1}$ be a topological space Let $S_2 \subseteq S_1$ be a subset of $S_1$. Let $S_3 \subseteq S_2$ be a subset of $S_2$. Let $T_2 = \struct {S_2, \tau_2}$ be the topological subspace of $T_1$ such that $\tau_2$ is the subspace topology on $T_2$ induced by $\tau_1$. Let $T_3 = \struct {S_3, \...
Let $\tau_P$ denote the subspace topology on $T_3$ induced by $\tau_1$. Let $\tau_Q$ denote the subspace topology on $T_3$ induced by $\tau_2$. The object of this exercise is to demonstrate that $\tau_P = \tau_Q$. This will be done by showing that an arbitrary set $V$ is in $\tau_P$ {{iff}} $V$ is in $\tau_Q$. We have ...
Let $T_1 = \struct {S_1, \tau_1}$ be a [[Definition:Topological Space|topological space]] Let $S_2 \subseteq S_1$ be a [[Definition:Subset|subset]] of $S_1$. Let $S_3 \subseteq S_2$ be a [[Definition:Subset|subset]] of $S_2$. Let $T_2 = \struct {S_2, \tau_2}$ be the [[Definition:Topological Subspace|topological sub...
Let $\tau_P$ denote the [[Definition:Subspace Topology|subspace topology]] on $T_3$ induced by $\tau_1$. Let $\tau_Q$ denote the [[Definition:Subspace Topology|subspace topology]] on $T_3$ induced by $\tau_2$. The object of this exercise is to demonstrate that $\tau_P = \tau_Q$. This will be done by showing that an ...
Induced Topology on Subspace of Subspace Coincides with Induced Topology on Subspace
https://proofwiki.org/wiki/Induced_Topology_on_Subspace_of_Subspace_Coincides_with_Induced_Topology_on_Subspace
https://proofwiki.org/wiki/Induced_Topology_on_Subspace_of_Subspace_Coincides_with_Induced_Topology_on_Subspace
[ "Topological Subspaces" ]
[ "Definition:Topological Space", "Definition:Subset", "Definition:Subset", "Definition:Topological Subspace", "Definition:Topological Subspace", "Definition:Topological Subspace", "Definition:Topological Subspace", "Definition:Set", "Definition:Subset", "Definition:Topological Subspace" ]
[ "Definition:Topological Subspace", "Definition:Topological Subspace", "Definition:Set", "Intersection with Subset is Subset", "Intersection is Associative" ]
proofwiki-17952
Real-Valued Function on Finite Set is Bounded
Let $S$ be a finite set. Let $f: S \to \R$ be a real-valued function on $S$. Then $f$ is bounded.
Let $K$ be defined as: :$K = \ds \max_{x \mathop \in S} \size {\map f x}$ where $\size {\map f x}$ denotes the absolute value of $\map f x$. Then trivially: :$\exists K \in \R_{\ge 0}: \forall x \in S: \size {\map f x} \le K$ This is the definition of a bounded real-valued function. {{qed}}
Let $S$ be a [[Definition:Finite Set|finite set]]. Let $f: S \to \R$ be a [[Definition:Real-Valued Function|real-valued function]] on $S$. Then $f$ is [[Definition:Bounded Real-Valued Function|bounded]].
Let $K$ be defined as: :$K = \ds \max_{x \mathop \in S} \size {\map f x}$ where $\size {\map f x}$ denotes the [[Definition:Absolute Value|absolute value]] of $\map f x$. Then trivially: :$\exists K \in \R_{\ge 0}: \forall x \in S: \size {\map f x} \le K$ This is the definition of a [[Definition:Bounded Real-Valued F...
Real-Valued Function on Finite Set is Bounded
https://proofwiki.org/wiki/Real-Valued_Function_on_Finite_Set_is_Bounded
https://proofwiki.org/wiki/Real-Valued_Function_on_Finite_Set_is_Bounded
[ "Bounded Real-Valued Functions", "Real-Valued Functions", "Finite Sets" ]
[ "Definition:Finite Set", "Definition:Real-Valued Function", "Definition:Bounded Mapping/Real-Valued" ]
[ "Definition:Absolute Value", "Definition:Bounded Mapping/Real-Valued" ]
proofwiki-17953
Reciprocal Function is Continuous on Real Numbers without Zero
Let $\R_{\ne 0}$ denote the real numbers excluding $0$: :$\R_{\ne 0} := \R \setminus \set 0$. Let $f: \R_{\ne 0} \to \R$ denote the reciprocal function: :$\forall x \in \R_{\ne 0}: \map f x = \dfrac 1 x$ Then $f$ is continuous on all real intervals which do not include $0$.
From Identity Mapping is Continuous, the real function $g$ defined as: :$\forall x \in \R: \map g x = x$ is continuous on $\R$. From Constant Mapping is Continuous, the real function $h$ defined as: :$\forall x \in \R: \map x h = 1$ We note that $\map g 0 = 0$. The result then follows from Quotient Rule for Continuous ...
Let $\R_{\ne 0}$ denote the [[Definition:Real Number|real numbers]] excluding $0$: :$\R_{\ne 0} := \R \setminus \set 0$. Let $f: \R_{\ne 0} \to \R$ denote the [[Definition:Reciprocal|reciprocal function]]: :$\forall x \in \R_{\ne 0}: \map f x = \dfrac 1 x$ Then $f$ is [[Definition:Continuous Real Function|continuous]...
From [[Identity Mapping is Continuous]], the [[Definition:Real Function|real function]] $g$ defined as: :$\forall x \in \R: \map g x = x$ is [[Definition:Continuous Real Function|continuous]] on $\R$. From [[Constant Mapping is Continuous]], the [[Definition:Real Function|real function]] $h$ defined as: :$\forall x \i...
Reciprocal Function is Continuous on Real Numbers without Zero
https://proofwiki.org/wiki/Reciprocal_Function_is_Continuous_on_Real_Numbers_without_Zero
https://proofwiki.org/wiki/Reciprocal_Function_is_Continuous_on_Real_Numbers_without_Zero
[ "Reciprocals", "Examples of Continuous Real Functions" ]
[ "Definition:Real Number", "Definition:Reciprocal", "Definition:Continuous Real Function", "Definition:Real Interval" ]
[ "Identity Mapping is Continuous", "Definition:Real Function", "Definition:Continuous Real Function", "Constant Mapping is Continuous", "Definition:Real Function", "Combination Theorem for Continuous Functions/Real/Quotient Rule", "Definition:Continuous Real Function", "Category:Reciprocals", "Catego...
proofwiki-17954
Reciprocal Function is Unbounded on Open Unit Interval
Let $A = \openint 0 1$ denote the open unit interval. Let $f: A \to \R$ be the reciprocal function: :$\forall x \in A: \map f x := \dfrac 1 x$ Then $f$ is unbounded.
Let $K \in \R_{>0}$. Then: :$\exists x \in \R: 0 < x < \dfrac 1 K$ such that $x < 1$. Then we have: :$\map f x = \dfrac 1 x > K$ So whatever $K$ may be, it can never be large enough to be a bound of $f$ on $\openint 0 1$. {{qed}}
Let $A = \openint 0 1$ denote the [[Definition:Open Unit Interval|open unit interval]]. Let $f: A \to \R$ be the [[Definition:Reciprocal|reciprocal function]]: :$\forall x \in A: \map f x := \dfrac 1 x$ Then $f$ is [[Definition:Unbounded Real-Valued Function|unbounded]].
Let $K \in \R_{>0}$. Then: :$\exists x \in \R: 0 < x < \dfrac 1 K$ such that $x < 1$. Then we have: :$\map f x = \dfrac 1 x > K$ So whatever $K$ may be, it can never be large enough to be a [[Definition:Bound of Real-Valued Function|bound]] of $f$ on $\openint 0 1$. {{qed}}
Reciprocal Function is Unbounded on Open Unit Interval
https://proofwiki.org/wiki/Reciprocal_Function_is_Unbounded_on_Open_Unit_Interval
https://proofwiki.org/wiki/Reciprocal_Function_is_Unbounded_on_Open_Unit_Interval
[ "Reciprocals", "Examples of Unbounded Real-Valued Functions" ]
[ "Definition:Real Interval/Unit Interval/Open", "Definition:Reciprocal", "Definition:Bounded Mapping/Real-Valued/Unbounded" ]
[ "Definition:Bound of Real-Valued Function" ]
proofwiki-17955
Continuous Real-Valued Function is not necessarily Bounded
Let $S$ be a set. Let $f: S \to \R$ be a continuous real-valued function. Then $f$ is not necessarily bounded.
Let $S$ denote the (open) real interval $\openint 0 1$. Let $f: S \to \R$ denote the reciprocal function: :$\forall x \in S: \map f x = \dfrac 1 x$ From Reciprocal Function is Continuous on Real Numbers without Zero, $f$ is continuous on $S$. From Reciprocal Function is Unbounded on Open Unit Interval, $f$ is unbounded...
Let $S$ be a [[Definition:Set|set]]. Let $f: S \to \R$ be a [[Definition:Continuous Real-Valued Function|continuous real-valued function]]. Then $f$ is not necessarily [[Definition:Bounded Real-Valued Function|bounded]].
Let $S$ denote the [[Definition:Open Real Interval|(open) real interval]] $\openint 0 1$. Let $f: S \to \R$ denote the [[Definition:Reciprocal|reciprocal function]]: :$\forall x \in S: \map f x = \dfrac 1 x$ From [[Reciprocal Function is Continuous on Real Numbers without Zero]], $f$ is [[Definition:Continuous Real-V...
Continuous Real-Valued Function is not necessarily Bounded
https://proofwiki.org/wiki/Continuous_Real-Valued_Function_is_not_necessarily_Bounded
https://proofwiki.org/wiki/Continuous_Real-Valued_Function_is_not_necessarily_Bounded
[ "Continuous Real-Valued Functions", "Bounded Real-Valued Functions" ]
[ "Definition:Set", "Definition:Continuous Real-Valued Vector Function", "Definition:Bounded Mapping/Real-Valued" ]
[ "Definition:Real Interval/Open", "Definition:Reciprocal", "Reciprocal Function is Continuous on Real Numbers without Zero", "Definition:Continuous Real-Valued Vector Function", "Reciprocal Function is Unbounded on Open Unit Interval", "Definition:Bounded Mapping/Real-Valued/Unbounded", "Proof by Counter...
proofwiki-17956
Set of Inverse Positive Integers with Zero is Compact
Let $K$ be the set of inverse positive integers with zero: :$\ds K := \set {1, \frac 1 2, \frac 1 3, \dots} \cup \set 0$ Let $\struct {\R, \size {\, \cdot \,}}$ be the normed vector space of real numbers. Then $K$ is compact in real numbers.
We have that $K \subset \closedint 0 1$. Hence, $K$ is bounded. Furthermore: :$\ds \R \setminus K = \openint {-\infty} 0 \cup \paren {\bigcup_{n \mathop = 1}^\infty \openint {\frac 1 {n + 1}} {\frac 1 n}} \cup \openint 1 \infty$ By Union of Open Sets of Normed Vector Space is Open, $\R \setminus K$ is open. By definiti...
Let $K$ be the [[Definition:Set|set]] of inverse [[Definition:Positive Integer|positive integers]] with [[Definition:Zero (Number)|zero]]: :$\ds K := \set {1, \frac 1 2, \frac 1 3, \dots} \cup \set 0$ Let $\struct {\R, \size {\, \cdot \,}}$ be the [[Real Numbers with Absolute Value form Normed Vector Space|normed vec...
We have that $K \subset \closedint 0 1$. Hence, $K$ is [[Definition:Bounded Normed Vector Space|bounded]]. Furthermore: :$\ds \R \setminus K = \openint {-\infty} 0 \cup \paren {\bigcup_{n \mathop = 1}^\infty \openint {\frac 1 {n + 1}} {\frac 1 n}} \cup \openint 1 \infty$ By [[Union of Open Sets of Normed Vector Spa...
Set of Inverse Positive Integers with Zero is Compact
https://proofwiki.org/wiki/Set_of_Inverse_Positive_Integers_with_Zero_is_Compact
https://proofwiki.org/wiki/Set_of_Inverse_Positive_Integers_with_Zero_is_Compact
[ "Integers", "Compact Vector Space Spaces" ]
[ "Definition:Set", "Definition:Positive/Integer", "Definition:Zero (Number)", "Real Numbers with Absolute Value form Normed Vector Space", "Definition:Compact Space/Normed Vector Space", "Definition:Real Number" ]
[ "Definition:Bounded Subset of Normed Vector Space", "Union of Open Sets of Normed Vector Space is Open", "Definition:Open Set/Normed Vector Space", "Definition:Closed Set/Normed Vector Space/Definition 1", "Heine-Borel Theorem", "Definition:Compact Space/Normed Vector Space" ]
proofwiki-17957
Space of Continuous on Closed Interval Real-Valued Functions with Pointwise Addition and Pointwise Scalar Multiplication forms Vector Space
Let $I := \closedint a b$ be a closed real interval. Let $\map C I$ be the space of real-valued functions continuous on $I$. Let $\struct {\R, +_\R, \times_\R}$ be the field of real numbers. Let $\paren +$ be the pointwise addition of real-valued functions. Let $\paren {\, \cdot \,}$ be the pointwise scalar multiplicat...
Let $f, g, h \in \map C I$ such that: :$f, g, h : I \to \R$ Let $\lambda, \mu \in \R$. Let $\map 0 x$ be a real-valued function such that: :$\map 0 x : I \to 0$. Let us use real number addition and multiplication. $\forall x \in I$ define pointwise addition as: :$\map {\paren {f + g}} x := \map f x +_\R \map g x$. Defi...
Let $I := \closedint a b$ be a [[Definition:Closed Real Interval|closed real interval]]. Let $\map C I$ be the [[Definition:Space of Real-Valued Functions Continuous on Closed Interval|space of real-valued functions continuous on $I$]]. Let $\struct {\R, +_\R, \times_\R}$ be the [[Definition:Field of Real Numbers|fie...
Let $f, g, h \in \map C I$ such that: :$f, g, h : I \to \R$ Let $\lambda, \mu \in \R$. Let $\map 0 x$ be a [[Definition:Real-Valued Function|real-valued function]] such that: :$\map 0 x : I \to 0$. Let us use [[Definition:Real Number|real number]] [[Definition:Real Addition|addition]] and [[Definition:Real Multipl...
Space of Continuous on Closed Interval Real-Valued Functions with Pointwise Addition and Pointwise Scalar Multiplication forms Vector Space
https://proofwiki.org/wiki/Space_of_Continuous_on_Closed_Interval_Real-Valued_Functions_with_Pointwise_Addition_and_Pointwise_Scalar_Multiplication_forms_Vector_Space
https://proofwiki.org/wiki/Space_of_Continuous_on_Closed_Interval_Real-Valued_Functions_with_Pointwise_Addition_and_Pointwise_Scalar_Multiplication_forms_Vector_Space
[ "Examples of Vector Spaces", "Functional Analysis" ]
[ "Definition:Real Interval/Closed", "Definition:Space of Real-Valued Functions Continuous on Closed Interval", "Definition:Field of Real Numbers", "Definition:Pointwise Addition of Real-Valued Functions", "Definition:Pointwise Scalar Multiplication of Mappings/Real-Valued Functions", "Definition:Vector Spa...
[ "Definition:Real-Valued Function", "Definition:Real Number", "Definition:Addition/Real Numbers", "Definition:Multiplication/Real Numbers", "Definition:Pointwise Addition of Real-Valued Functions", "Definition:Pointwise Scalar Multiplication of Mappings/Real-Valued Functions" ]
proofwiki-17958
Space of Continuously Differentiable on Closed Interval Real-Valued Functions with Pointwise Addition and Pointwise Scalar Multiplication forms Vector Space
Let $I := \closedint a b$ be a closed real interval. Let $\map C I$ be a space of real-valued functions continuous on $I$. Let $\map {C^1} I$ be a space of continuously differentiable functions on $I$. Let $\struct {\R, +_\R, \times_\R}$ be the field of real numbers. Let $\paren +$ be the pointwise addition of real-val...
From Space of Continuous on Closed Interval Real-Valued Functions with Pointwise Addition and Pointwise Scalar Multiplication forms Vector Space: :$\struct {\map C I, +, \, \cdot \,}_\R$ is a vector space. By Differentiable Function is Continuous: :$\map {C^1} I \subset \map C I$ Let $f, g \in \map {C^1} I$. Let $\alph...
Let $I := \closedint a b$ be a [[Definition:Closed Real Interval|closed real interval]]. Let $\map C I$ be a [[Definition:Space of Real-Valued Functions Continuous on Closed Interval|space of real-valued functions continuous on $I$]]. Let $\map {C^1} I$ be a [[Definition:Space of Continuous Functions of Differentiabi...
From [[Space of Continuous on Closed Interval Real-Valued Functions with Pointwise Addition and Pointwise Scalar Multiplication forms Vector Space]]: :$\struct {\map C I, +, \, \cdot \,}_\R$ is a [[Definition:Vector Space|vector space]]. By [[Differentiable Function is Continuous]]: :$\map {C^1} I \subset \map C I$ L...
Space of Continuously Differentiable on Closed Interval Real-Valued Functions with Pointwise Addition and Pointwise Scalar Multiplication forms Vector Space
https://proofwiki.org/wiki/Space_of_Continuously_Differentiable_on_Closed_Interval_Real-Valued_Functions_with_Pointwise_Addition_and_Pointwise_Scalar_Multiplication_forms_Vector_Space
https://proofwiki.org/wiki/Space_of_Continuously_Differentiable_on_Closed_Interval_Real-Valued_Functions_with_Pointwise_Addition_and_Pointwise_Scalar_Multiplication_forms_Vector_Space
[ "Examples of Vector Spaces", "Functional Analysis" ]
[ "Definition:Real Interval/Closed", "Definition:Space of Real-Valued Functions Continuous on Closed Interval", "Definition:Space of Continuous Functions of Differentiability Class k", "Definition:Field of Real Numbers", "Definition:Pointwise Addition of Real-Valued Functions", "Definition:Pointwise Scalar ...
[ "Space of Continuous on Closed Interval Real-Valued Functions with Pointwise Addition and Pointwise Scalar Multiplication forms Vector Space", "Definition:Vector Space", "Differentiable Function is Continuous", "Definition:Real-Valued Function", "Definition:Restriction/Operation", "Definition:Restriction/...
proofwiki-17959
P-Sequence Space with Pointwise Addition and Pointwise Scalar Multiplication on Ring of Sequences forms Vector Space
Let $\ell^p$ be the p-sequence space. Let $\struct {\R, +_\R, \times_\R}$ be the field of real numbers. Let $\paren +$ be the pointwise addition on the ring of sequences. Let $\paren {\, \cdot \,}$ be the pointwise multiplication on the ring of sequences. Then $\struct {\ell^p, +, \, \cdot \,}_\R$ is a vector space.
Let $\sequence {a_n}_{n \mathop \in \N}, \sequence {b_n}_{n \mathop \in \N}, \sequence {c_n}_{n \mathop \in \N} \in \ell^p$. Let $\lambda, \mu \in \R$. Let $\sequence 0 := \tuple {0, 0, 0, \dots}$ be a real-valued function. Let us use real number addition and multiplication. Define pointwise addition as: :$\sequence {a...
Let $\ell^p$ be the [[Definition:P-Sequence Space|p-sequence space]]. Let $\struct {\R, +_\R, \times_\R}$ be the [[Definition:Field of Real Numbers|field of real numbers]]. Let $\paren +$ be the [[Definition:Pointwise Addition on Ring of Sequences|pointwise addition on the ring of sequences]]. Let $\paren {\, \cdot ...
Let $\sequence {a_n}_{n \mathop \in \N}, \sequence {b_n}_{n \mathop \in \N}, \sequence {c_n}_{n \mathop \in \N} \in \ell^p$. Let $\lambda, \mu \in \R$. Let $\sequence 0 := \tuple {0, 0, 0, \dots}$ be a [[Definition:Real-Valued Function|real-valued function]]. Let us use [[Definition:Real Number|real number]] [[Defin...
P-Sequence Space with Pointwise Addition and Pointwise Scalar Multiplication on Ring of Sequences forms Vector Space
https://proofwiki.org/wiki/P-Sequence_Space_with_Pointwise_Addition_and_Pointwise_Scalar_Multiplication_on_Ring_of_Sequences_forms_Vector_Space
https://proofwiki.org/wiki/P-Sequence_Space_with_Pointwise_Addition_and_Pointwise_Scalar_Multiplication_on_Ring_of_Sequences_forms_Vector_Space
[ "Examples of Vector Spaces", "Functional Analysis" ]
[ "Definition:P-Sequence Space", "Definition:Field of Real Numbers", "Definition:Ring of Sequences/Pointwise Addition", "Definition:Ring of Sequences/Pointwise Multiplication", "Definition:Vector Space" ]
[ "Definition:Real-Valued Function", "Definition:Real Number", "Definition:Addition/Real Numbers", "Definition:Multiplication/Real Numbers", "Definition:Ring of Sequences/Pointwise Addition", "Definition:Pointwise Scalar Multiplication on Ring of Sequences", "Definition:Ring of Sequences/Additive Inverse"...
proofwiki-17960
Vector Space of Continuous on Closed Interval Real Functions is not Finite Dimensional
Let $I := \closedint 0 1$ be a closed real interval. Let $\struct {\map C I, +, \, \cdot \,}_\R$ be the continuous on closed interval real function vector space. Then $\struct {\map C I, +, \, \cdot \,}_\R$ is not finite dimensional.
=== Monomials are linearly independent === Let $d \in \N_{>0}$. Consider the set of real monomials of the following form: :$\map {x_n} t = t^n$ where $n \in \N_{>0}$ and $n \le d$. {{AimForCont}} the set of $x_n$ is not linearly independent. Then: :$\forall n \in \N_{>0}: n \le d: \exists \alpha_n \in \R: \neg \forall ...
Let $I := \closedint 0 1$ be a [[Definition:Closed Real Interval|closed real interval]]. Let $\struct {\map C I, +, \, \cdot \,}_\R$ be the [[Space of Continuous on Closed Interval Real-Valued Functions with Pointwise Addition and Pointwise Scalar Multiplication forms Vector Space|continuous on closed interval real fu...
=== [[Definition:Monomial|Monomials]] are [[Definition:Linearly Independent|linearly independent]] === Let $d \in \N_{>0}$. Consider the [[Definition:Set|set]] of [[Definition:Real Function|real]] [[Definition:Monomial|monomials]] of the following form: :$\map {x_n} t = t^n$ where $n \in \N_{>0}$ and $n \le d$. {{...
Vector Space of Continuous on Closed Interval Real Functions is not Finite Dimensional
https://proofwiki.org/wiki/Vector_Space_of_Continuous_on_Closed_Interval_Real_Functions_is_not_Finite_Dimensional
https://proofwiki.org/wiki/Vector_Space_of_Continuous_on_Closed_Interval_Real_Functions_is_not_Finite_Dimensional
[ "Vector Spaces", "Continuous Real Functions" ]
[ "Definition:Real Interval/Closed", "Space of Continuous on Closed Interval Real-Valued Functions with Pointwise Addition and Pointwise Scalar Multiplication forms Vector Space", "Definition:Dimension of Vector Space/Finite" ]
[ "Definition:Monomial", "Definition:Linearly Independent", "Definition:Set", "Definition:Real Function", "Definition:Monomial", "Definition:Set", "Definition:Linearly Independent", "Definition:Term of Sequence/Index", "Definition:Limit of Real Function", "Definition:Contradiction", "Definition:Se...
proofwiki-17961
Min Operation Equals an Operand
Let $x_1, x_2, \dotsc, x_n \in S$ for some $n \in \N_{>0}$. Then: :$\exists i \in \closedint 1 n : x_i = \min \set {x_1, x_2, \dotsc, x_n}$
We will prove the result by induction on the number of operands $n$. For all $n \in \N_{>0}$, let $\map P n$ be the proposition: :$\exists i \in \closedint 1 n : x_i = \min \set {x_1, x_2, \dotsc, x_n}$
Let $x_1, x_2, \dotsc, x_n \in S$ for some $n \in \N_{>0}$. Then: :$\exists i \in \closedint 1 n : x_i = \min \set {x_1, x_2, \dotsc, x_n}$
We will prove the result by [[Principle of Mathematical Induction|induction]] on the [[Definition:Cardinality|number]] of [[Definition:Operand|operands]] $n$. For all $n \in \N_{>0}$, let $\map P n$ be the [[Definition:Proposition|proposition]]: :$\exists i \in \closedint 1 n : x_i = \min \set {x_1, x_2, \dotsc, x_n}$
Min Operation Equals an Operand
https://proofwiki.org/wiki/Min_Operation_Equals_an_Operand
https://proofwiki.org/wiki/Min_Operation_Equals_an_Operand
[ "Min Operation" ]
[]
[ "Principle of Mathematical Induction", "Definition:Cardinality", "Definition:Operation/Operand", "Definition:Proposition", "Principle of Mathematical Induction" ]
proofwiki-17962
Min Operation Yields Infimum of Parameters/General Case
Let $x_1, x_2, \dots ,x_n \in S$ for some $n \in \N_{>0}$. Then: :$\min \set {x_1, x_2, \dotsc, x_n} = \inf \set {x_1, x_2, \dotsc, x_n}$
We will prove the result by induction on the number of operands $n$. For all $n \in \Z_{>0}$, let $\map P n$ be the proposition: :$\min \set {x_1, x_2, \dotsc, x_n} = \inf \set {x_1, x_2, \dotsc, x_n}$
Let $x_1, x_2, \dots ,x_n \in S$ for some $n \in \N_{>0}$. Then: :$\min \set {x_1, x_2, \dotsc, x_n} = \inf \set {x_1, x_2, \dotsc, x_n}$
We will prove the result by [[Principle of Mathematical Induction|induction]] on the [[Definition:Cardinality|number]] of [[Definition:Operand|operands]] $n$. For all $n \in \Z_{>0}$, let $\map P n$ be the [[Definition:Proposition|proposition]]: :$\min \set {x_1, x_2, \dotsc, x_n} = \inf \set {x_1, x_2, \dotsc, x_n}$
Min Operation Yields Infimum of Parameters/General Case
https://proofwiki.org/wiki/Min_Operation_Yields_Infimum_of_Parameters/General_Case
https://proofwiki.org/wiki/Min_Operation_Yields_Infimum_of_Parameters/General_Case
[ "Min Operation" ]
[]
[ "Principle of Mathematical Induction", "Definition:Cardinality", "Definition:Operation/Operand", "Definition:Proposition", "Principle of Mathematical Induction" ]
proofwiki-17963
Primitive of Reciprocal of Root of a x squared plus b x plus c/a greater than 0
Let $a \in \R_{> 0}$. Then for $x \in \R$ such that $a x^2 + b x + c > 0$: :<nowiki>$\ds \int \frac {\d x} {\sqrt {a x^2 + b x + c} } = \begin {cases} \dfrac 1 {\sqrt a} \ln \size {2 \sqrt a \sqrt {a x^2 + b x + c} + 2 a x + b} + C & : b^2 - 4 a c > 0 \\ \\ \dfrac 1 {\sqrt a} \map \arsinh {\dfrac {2 a x + b} {\sqrt {4 ...
=== Completing the Square === {{:Primitive of Reciprocal of Root of a x squared plus b x plus c/a greater than 0/Completing the Square}}
Let $a \in \R_{> 0}$. Then for $x \in \R$ such that $a x^2 + b x + c > 0$: :<nowiki>$\ds \int \frac {\d x} {\sqrt {a x^2 + b x + c} } = \begin {cases} \dfrac 1 {\sqrt a} \ln \size {2 \sqrt a \sqrt {a x^2 + b x + c} + 2 a x + b} + C & : b^2 - 4 a c > 0 \\ \\ \dfrac 1 {\sqrt a} \map \arsinh {\dfrac {2 a x + b} {\sqrt {...
=== [[Primitive of Reciprocal of Root of a x squared plus b x plus c/a greater than 0/Completing the Square|Completing the Square]] === {{:Primitive of Reciprocal of Root of a x squared plus b x plus c/a greater than 0/Completing the Square}}
Primitive of Reciprocal of Root of a x squared plus b x plus c/a greater than 0
https://proofwiki.org/wiki/Primitive_of_Reciprocal_of_Root_of_a_x_squared_plus_b_x_plus_c/a_greater_than_0
https://proofwiki.org/wiki/Primitive_of_Reciprocal_of_Root_of_a_x_squared_plus_b_x_plus_c/a_greater_than_0
[ "Primitive of Reciprocal of Root of a x squared plus b x plus c" ]
[ "Definition:Inverse Hyperbolic Sine/Real/Definition 2" ]
[ "Primitive of Reciprocal of Root of a x squared plus b x plus c/a greater than 0/Completing the Square" ]
proofwiki-17964
Primitive of Reciprocal of Root of a x squared plus b x plus c/a less than 0
Let $a \in \R_{< 0}$. Then for $x \in \R$ such that $a x^2 + b x + c > 0$: :$\ds \int \frac {\d x} {\sqrt {a x^2 + b x + c} } = \dfrac {-1} {\sqrt {-a} } \map \arcsin {\dfrac {2 a x + b} {\sqrt {\size {b^2 - 4 a c} } } } + C$ given that $b^2 \ne 4 a c$.
=== Completing the Square === {{:Primitive of Reciprocal of Root of a x squared plus b x plus c/a less than 0/Completing the Square}}
Let $a \in \R_{< 0}$. Then for $x \in \R$ such that $a x^2 + b x + c > 0$: :$\ds \int \frac {\d x} {\sqrt {a x^2 + b x + c} } = \dfrac {-1} {\sqrt {-a} } \map \arcsin {\dfrac {2 a x + b} {\sqrt {\size {b^2 - 4 a c} } } } + C$ given that $b^2 \ne 4 a c$.
=== [[Primitive of Reciprocal of Root of a x squared plus b x plus c/a less than 0/Completing the Square|Completing the Square]] === {{:Primitive of Reciprocal of Root of a x squared plus b x plus c/a less than 0/Completing the Square}}
Primitive of Reciprocal of Root of a x squared plus b x plus c/a less than 0
https://proofwiki.org/wiki/Primitive_of_Reciprocal_of_Root_of_a_x_squared_plus_b_x_plus_c/a_less_than_0
https://proofwiki.org/wiki/Primitive_of_Reciprocal_of_Root_of_a_x_squared_plus_b_x_plus_c/a_less_than_0
[ "Primitive of Reciprocal of Root of a x squared plus b x plus c" ]
[]
[ "Primitive of Reciprocal of Root of a x squared plus b x plus c/a less than 0/Completing the Square" ]
proofwiki-17965
Primitive of Reciprocal of Root of a x squared plus b x plus c/a greater than 0/Negative Discriminant
Let $a \in \R_{>0}$. Let $b^2 - 4 a c < 0$. Then for $x \in \R$ such that $a x^2 + b x + c > 0$: :$\ds \int \frac {\d x} {\sqrt {a x^2 + b x + c} } = \frac 1 {\sqrt a} \map \arsinh {\dfrac {2 a x + b} {\sqrt {4 a c - b^2} } } + C$ where $\arsinh$ denotes the area hyperbolic sine function.
Let $b^2 - 4 a c < 0$. Then: {{begin-eqn}} {{eqn | l = - D | o = > | r = 0 | c = }} {{eqn | ll= \leadsto | l = -D | r = q^2 | c = for some $q \in \R$ }} {{eqn | ll= \leadsto | l = q | r = \sqrt {4 a c - b^2} | c = by definition of $D$ }} {{end-eqn}} Thus: {{begin-e...
Let $a \in \R_{>0}$. Let $b^2 - 4 a c < 0$. Then for $x \in \R$ such that $a x^2 + b x + c > 0$: :$\ds \int \frac {\d x} {\sqrt {a x^2 + b x + c} } = \frac 1 {\sqrt a} \map \arsinh {\dfrac {2 a x + b} {\sqrt {4 a c - b^2} } } + C$ where $\arsinh$ denotes the [[Definition:Real Area Hyperbolic Sine|area hyperbolic si...
Let $b^2 - 4 a c < 0$. Then: {{begin-eqn}} {{eqn | l = - D | o = > | r = 0 | c = }} {{eqn | ll= \leadsto | l = -D | r = q^2 | c = for some $q \in \R$ }} {{eqn | ll= \leadsto | l = q | r = \sqrt {4 a c - b^2} | c = by definition of $D$ }} {{end-eqn}} Thus: {{be...
Primitive of Reciprocal of Root of a x squared plus b x plus c/a greater than 0/Negative Discriminant
https://proofwiki.org/wiki/Primitive_of_Reciprocal_of_Root_of_a_x_squared_plus_b_x_plus_c/a_greater_than_0/Negative_Discriminant
https://proofwiki.org/wiki/Primitive_of_Reciprocal_of_Root_of_a_x_squared_plus_b_x_plus_c/a_greater_than_0/Negative_Discriminant
[ "Primitive of Reciprocal of Root of a x squared plus b x plus c" ]
[ "Definition:Inverse Hyperbolic Sine/Real/Definition 2" ]
[ "Integration by Substitution", "Primitive of Reciprocal of Root of x squared plus a squared/Inverse Hyperbolic Sine Form" ]
proofwiki-17966
Primitive of Reciprocal of Root of a x squared plus b x plus c/a greater than 0/Positive Discriminant
Let $a, b, c \in \R$ such that $a > 0$. Let $b^2 - 4 a c > 0$. Then for $x \in \R$ such that $a x^2 + b x + c > 0$: :$\ds \int \frac {\d x} {\sqrt {a x^2 + b x + c} } = \dfrac 1 {\sqrt a} \ln \size {2 \sqrt a \sqrt {a x^2 + b x + c} + 2 a x + b} + C$
Let $b^2 - 4 a c > 0$. Then: {{begin-eqn}} {{eqn | l = D | o = > | r = 0 | c = }} {{eqn | ll= \leadsto | l = D | r = q^2 | c = for some $q \in \R$ }} {{eqn | ll= \leadsto | l = q | r = \sqrt {b^2 - 4 a c} | c = by definition of $D$ }} {{end-eqn}} Thus: {{begin-eqn}...
Let $a, b, c \in \R$ such that $a > 0$. Let $b^2 - 4 a c > 0$. Then for $x \in \R$ such that $a x^2 + b x + c > 0$: :$\ds \int \frac {\d x} {\sqrt {a x^2 + b x + c} } = \dfrac 1 {\sqrt a} \ln \size {2 \sqrt a \sqrt {a x^2 + b x + c} + 2 a x + b} + C$
Let $b^2 - 4 a c > 0$. Then: {{begin-eqn}} {{eqn | l = D | o = > | r = 0 | c = }} {{eqn | ll= \leadsto | l = D | r = q^2 | c = for some $q \in \R$ }} {{eqn | ll= \leadsto | l = q | r = \sqrt {b^2 - 4 a c} | c = by definition of $D$ }} {{end-eqn}} Thus: {{begin...
Primitive of Reciprocal of Root of a x squared plus b x plus c/a greater than 0/Positive Discriminant
https://proofwiki.org/wiki/Primitive_of_Reciprocal_of_Root_of_a_x_squared_plus_b_x_plus_c/a_greater_than_0/Positive_Discriminant
https://proofwiki.org/wiki/Primitive_of_Reciprocal_of_Root_of_a_x_squared_plus_b_x_plus_c/a_greater_than_0/Positive_Discriminant
[ "Primitive of Reciprocal of Root of a x squared plus b x plus c" ]
[]
[ "Integration by Substitution", "Primitive of Reciprocal of Root of x squared minus a squared/Logarithm Form", "Completing the Square" ]
proofwiki-17967
Primitive of Reciprocal of Root of a x squared plus b x plus c/a less than 0/Positive Discriminant
Let $a \in \R_{<0}$. Let $b^2 - 4 a c > 0$. Then for $x \in \R$ such that $a x^2 + b x + c > 0$ and $\size {2 a x + b} < \sqrt {b^2 - 4 a c}$: :$\ds \int \frac {\d x} {\sqrt {a x^2 + b x + c} } = \frac {-1} {\sqrt {-a} } \map \arcsin {\frac {2 a x + b} {\sqrt {b^2 - 4 a c} } } + C$
Let $b^2 - 4 a c > 0$. Then: {{begin-eqn}} {{eqn | l = D | o = > | r = 0 | c = }} {{eqn | ll= \leadsto | l = D | r = q^2 | c = for some $q \in \R$ }} {{eqn | ll= \leadsto | l = q | r = \sqrt {b^2 - 4 a c} | c = by definition of $D$ }} {{end-eqn}} Thus: {{begin-eqn}...
Let $a \in \R_{<0}$. Let $b^2 - 4 a c > 0$. Then for $x \in \R$ such that $a x^2 + b x + c > 0$ and $\size {2 a x + b} < \sqrt {b^2 - 4 a c}$: :$\ds \int \frac {\d x} {\sqrt {a x^2 + b x + c} } = \frac {-1} {\sqrt {-a} } \map \arcsin {\frac {2 a x + b} {\sqrt {b^2 - 4 a c} } } + C$
Let $b^2 - 4 a c > 0$. Then: {{begin-eqn}} {{eqn | l = D | o = > | r = 0 | c = }} {{eqn | ll= \leadsto | l = D | r = q^2 | c = for some $q \in \R$ }} {{eqn | ll= \leadsto | l = q | r = \sqrt {b^2 - 4 a c} | c = by definition of $D$ }} {{end-eqn}} Thus: {{begin...
Primitive of Reciprocal of Root of a x squared plus b x plus c/a less than 0/Positive Discriminant
https://proofwiki.org/wiki/Primitive_of_Reciprocal_of_Root_of_a_x_squared_plus_b_x_plus_c/a_less_than_0/Positive_Discriminant
https://proofwiki.org/wiki/Primitive_of_Reciprocal_of_Root_of_a_x_squared_plus_b_x_plus_c/a_less_than_0/Positive_Discriminant
[ "Primitive of Reciprocal of Root of a x squared plus b x plus c" ]
[]
[ "Integration by Substitution", "Primitive of Reciprocal of Root of a squared minus x squared/Arcsine Form" ]
proofwiki-17968
Primitive of Reciprocal of Root of a x squared plus b x plus c/a less than 0/Negative Discriminant
Let $a \in \R_{> 0}$. Let $b^2 - 4 a c > 0$. Then for $x \in \R$ such that $a x^2 + b x + c > 0$: :$\ds \int \frac {\d x} {\sqrt {a x^2 + b x + c} } = \frac {-1} {\sqrt {-a} } \map \arcsin {\frac {2 a x + b} {\sqrt {4 a c - b^2} } } + C$
Let $b^2 - 4 a c < 0$. Let $D' = -D = 4 a c - b^2$. Then: {{begin-eqn}} {{eqn | l = D' | o = > | r = 0 | c = }} {{eqn | ll= \leadsto | l = D | r = q^2 | c = for some $q \in \R$ }} {{eqn | ll= \leadsto | l = q | r = \sqrt {4 a c - b^2} | c = by definition of $D$ }} ...
Let $a \in \R_{> 0}$. Let $b^2 - 4 a c > 0$. Then for $x \in \R$ such that $a x^2 + b x + c > 0$: :$\ds \int \frac {\d x} {\sqrt {a x^2 + b x + c} } = \frac {-1} {\sqrt {-a} } \map \arcsin {\frac {2 a x + b} {\sqrt {4 a c - b^2} } } + C$
Let $b^2 - 4 a c < 0$. Let $D' = -D = 4 a c - b^2$. Then: {{begin-eqn}} {{eqn | l = D' | o = > | r = 0 | c = }} {{eqn | ll= \leadsto | l = D | r = q^2 | c = for some $q \in \R$ }} {{eqn | ll= \leadsto | l = q | r = \sqrt {4 a c - b^2} | c = by definition of $D$ ...
Primitive of Reciprocal of Root of a x squared plus b x plus c/a less than 0/Negative Discriminant
https://proofwiki.org/wiki/Primitive_of_Reciprocal_of_Root_of_a_x_squared_plus_b_x_plus_c/a_less_than_0/Negative_Discriminant
https://proofwiki.org/wiki/Primitive_of_Reciprocal_of_Root_of_a_x_squared_plus_b_x_plus_c/a_less_than_0/Negative_Discriminant
[ "Primitive of Reciprocal of Root of a x squared plus b x plus c" ]
[]
[ "Integration by Substitution", "Integration by Substitution", "Integration by Substitution", "Primitive of Reciprocal of Root of a squared minus x squared/Arcsine Form" ]
proofwiki-17969
Primitive of Reciprocal of Root of a x squared plus b x plus c/a greater than 0/Zero Discriminant
Let $a \in \R_{>0}$. Let $b^2 - 4 a c = 0$. Then for $x \in \R$ such that $a x^2 + b x + c > 0$: :$\ds \int \frac {\d x} {\sqrt {a x^2 + b x + c} } = \frac 1 {\sqrt a} \ln \size {2 a x + b} + C$
Let $b^2 - 4 a c = 0$ {{hypothesis}}. Then: {{begin-eqn}} {{eqn | l = \int \frac {\d x} {\sqrt {a x^2 + b x + c} } | r = \int \frac {2 \sqrt a \rd x} {\sqrt {\paren {2 a x + b}^2} } | c = from $(1)$ }} {{eqn | r = 2 \sqrt a \int \frac {\d x} {2 a x + b} | c = Primitive of Constant Multiple of Function...
Let $a \in \R_{>0}$. Let $b^2 - 4 a c = 0$. Then for $x \in \R$ such that $a x^2 + b x + c > 0$: :$\ds \int \frac {\d x} {\sqrt {a x^2 + b x + c} } = \frac 1 {\sqrt a} \ln \size {2 a x + b} + C$
Let $b^2 - 4 a c = 0$ {{hypothesis}}. Then: {{begin-eqn}} {{eqn | l = \int \frac {\d x} {\sqrt {a x^2 + b x + c} } | r = \int \frac {2 \sqrt a \rd x} {\sqrt {\paren {2 a x + b}^2} } | c = from $(1)$ }} {{eqn | r = 2 \sqrt a \int \frac {\d x} {2 a x + b} | c = [[Primitive of Constant Multiple of Funct...
Primitive of Reciprocal of Root of a x squared plus b x plus c/a greater than 0/Zero Discriminant
https://proofwiki.org/wiki/Primitive_of_Reciprocal_of_Root_of_a_x_squared_plus_b_x_plus_c/a_greater_than_0/Zero_Discriminant
https://proofwiki.org/wiki/Primitive_of_Reciprocal_of_Root_of_a_x_squared_plus_b_x_plus_c/a_greater_than_0/Zero_Discriminant
[ "Primitive of Reciprocal of Root of a x squared plus b x plus c" ]
[]
[ "Primitive of Constant Multiple of Function", "Primitive of Reciprocal of a x + b" ]
proofwiki-17970
Primitive of Reciprocal of Root of a x squared plus b x plus c/a less than 0/Zero Discriminant
Let $a \in \R_{\ne 0}$. Let $b^2 - 4 a c = 0$. Then: :$\ds \int \frac {\d x} {\sqrt {a x^2 + b x + c} }$ is not defined.
Suppose that $b^2 - 4 a c = 0$. Then: {{begin-eqn}} {{eqn | l = a x^2 + b x + c | r = \frac {\paren {2 a x + b}^2 - \paren {b^2 - 4 a c} } {4 a} | c = Completing the Square }} {{eqn | r = \frac {\paren {2 a x + b}^2} {4 a} | c = as $b^2 - 4 a c = 0$ }} {{end-eqn}} But we have that: :$\paren {2 a x + b...
Let $a \in \R_{\ne 0}$. Let $b^2 - 4 a c = 0$. Then: :$\ds \int \frac {\d x} {\sqrt {a x^2 + b x + c} }$ is not defined.
Suppose that $b^2 - 4 a c = 0$. Then: {{begin-eqn}} {{eqn | l = a x^2 + b x + c | r = \frac {\paren {2 a x + b}^2 - \paren {b^2 - 4 a c} } {4 a} | c = [[Completing the Square]] }} {{eqn | r = \frac {\paren {2 a x + b}^2} {4 a} | c = as $b^2 - 4 a c = 0$ }} {{end-eqn}} But we have that: :$\paren {2 a...
Primitive of Reciprocal of Root of a x squared plus b x plus c/a less than 0/Zero Discriminant
https://proofwiki.org/wiki/Primitive_of_Reciprocal_of_Root_of_a_x_squared_plus_b_x_plus_c/a_less_than_0/Zero_Discriminant
https://proofwiki.org/wiki/Primitive_of_Reciprocal_of_Root_of_a_x_squared_plus_b_x_plus_c/a_less_than_0/Zero_Discriminant
[ "Primitive of Reciprocal of Root of a x squared plus b x plus c" ]
[]
[ "Completing the Square", "Definition:Real Number" ]
proofwiki-17971
Space of Somewhere Differentiable Continuous Functions on Closed Interval is Meager in Space of Continuous Functions on Closed Interval
Let $I = \closedint a b$. Let $\map \CC I$ be the set of continuous functions on $I$. Let $\map \DD I$ be the set of continuous functions on $I$ that are differentiable at a point. Let $d$ be the metric induced by the supremum norm. Then $\map \DD I$ is meager in $\struct {\map \CC I, d}$.
Let: :$\ds A_{n, m} = \set {f \in \map \CC I: \exists x \in I: \forall t \in I: 0 < \size {t - x} < \frac 1 m \implies \size {\frac {\map f t - \map f x} {t - x} } \le n}$ and: :$\ds A = \bigcup_{\tuple {n, m} \mathop \in \N^2} A_{n, m}$
Let $I = \closedint a b$. Let $\map \CC I$ be the set of [[Definition:Continuous Function|continuous functions]] on $I$. Let $\map \DD I$ be the set of [[Definition:Continuous Function|continuous functions]] on $I$ that are [[Definition:Differentiable Real Function at Point|differentiable at a point]]. Let $d$ be ...
Let: :$\ds A_{n, m} = \set {f \in \map \CC I: \exists x \in I: \forall t \in I: 0 < \size {t - x} < \frac 1 m \implies \size {\frac {\map f t - \map f x} {t - x} } \le n}$ and: :$\ds A = \bigcup_{\tuple {n, m} \mathop \in \N^2} A_{n, m}$
Space of Somewhere Differentiable Continuous Functions on Closed Interval is Meager in Space of Continuous Functions on Closed Interval
https://proofwiki.org/wiki/Space_of_Somewhere_Differentiable_Continuous_Functions_on_Closed_Interval_is_Meager_in_Space_of_Continuous_Functions_on_Closed_Interval
https://proofwiki.org/wiki/Space_of_Somewhere_Differentiable_Continuous_Functions_on_Closed_Interval_is_Meager_in_Space_of_Continuous_Functions_on_Closed_Interval
[ "Functional Analysis", "Meager Spaces", "Space of Somewhere Differentiable Continuous Functions on Closed Interval is Meager in Space of Continuous Functions on Closed Interval" ]
[ "Definition:Continuous Function", "Definition:Continuous Function", "Definition:Differentiable Mapping/Real Function/Point", "Definition:Metric Induced by Norm", "Definition:Supremum Norm", "Definition:Meager Space" ]
[]
proofwiki-17972
Space of Somewhere Differentiable Continuous Functions on Closed Interval is Meager in Space of Continuous Functions on Closed Interval/Lemma 1
:$\map \DD I \subseteq A$
Let $f \in \map \DD I$. Then, $f$ is differentiable at some $x \in I$. Let: :$n = \floor {\size {\map {f'} x} } + 1$ where $\floor \cdot$ is the floor function. Then: :$\size {\map {f'} x} < n$ From the definition of the derivative, there exists $\delta > 0$ such that for all $t$ with $0 < \size {t - x} < \delta$, we...
:$\map \DD I \subseteq A$
Let $f \in \map \DD I$. Then, $f$ is [[Definition:Differentiable Real Function at Point|differentiable]] at some $x \in I$. Let: :$n = \floor {\size {\map {f'} x} } + 1$ where $\floor \cdot$ is the [[Definition:Floor Function|floor function]]. Then: :$\size {\map {f'} x} < n$ From the definition of the [[Defin...
Space of Somewhere Differentiable Continuous Functions on Closed Interval is Meager in Space of Continuous Functions on Closed Interval/Lemma 1
https://proofwiki.org/wiki/Space_of_Somewhere_Differentiable_Continuous_Functions_on_Closed_Interval_is_Meager_in_Space_of_Continuous_Functions_on_Closed_Interval/Lemma_1
https://proofwiki.org/wiki/Space_of_Somewhere_Differentiable_Continuous_Functions_on_Closed_Interval_is_Meager_in_Space_of_Continuous_Functions_on_Closed_Interval/Lemma_1
[ "Space of Somewhere Differentiable Continuous Functions on Closed Interval is Meager in Space of Continuous Functions on Closed Interval" ]
[]
[ "Definition:Differentiable Mapping/Real Function/Point", "Definition:Floor Function", "Definition:Derivative", "Reverse Triangle Inequality", "Category:Space of Somewhere Differentiable Continuous Functions on Closed Interval is Meager in Space of Continuous Functions on Closed Interval" ]
proofwiki-17973
Space of Somewhere Differentiable Continuous Functions on Closed Interval is Meager in Space of Continuous Functions on Closed Interval/Corollary
:there exists a function $f \in \map \CC I$ that is not differentiable anywhere.
Let $\map \DD I$ be the set of continuous functions on $I$ that are differentiable at a point. Let $d$ be the metric induced by the supremum norm. By Space of Continuous on Closed Interval Real-Valued Functions with Supremum Norm forms Banach Space: :$\struct {\map \CC I, d}$ is a complete metric space. By Baire Space ...
:there exists a [[Definition:Real Function|function]] $f \in \map \CC I$ that is not [[Definition:Differentiable Real Function at Point|differentiable]] anywhere.
Let $\map \DD I$ be the set of [[Definition:Continuous Function|continuous functions]] on $I$ that are [[Definition:Differentiable Real Function at Point|differentiable at a point]]. Let $d$ be the [[Definition:Metric Induced by Norm|metric induced]] by the [[Definition:Supremum Norm|supremum norm]]. By [[Space of Co...
Space of Somewhere Differentiable Continuous Functions on Closed Interval is Meager in Space of Continuous Functions on Closed Interval/Corollary
https://proofwiki.org/wiki/Space_of_Somewhere_Differentiable_Continuous_Functions_on_Closed_Interval_is_Meager_in_Space_of_Continuous_Functions_on_Closed_Interval/Corollary
https://proofwiki.org/wiki/Space_of_Somewhere_Differentiable_Continuous_Functions_on_Closed_Interval_is_Meager_in_Space_of_Continuous_Functions_on_Closed_Interval/Corollary
[ "Space of Somewhere Differentiable Continuous Functions on Closed Interval is Meager in Space of Continuous Functions on Closed Interval", "Functional Analysis" ]
[ "Definition:Real Function", "Definition:Differentiable Mapping/Real Function/Point" ]
[ "Definition:Continuous Function", "Definition:Differentiable Mapping/Real Function/Point", "Definition:Metric Induced by Norm", "Definition:Supremum Norm", "Space of Continuous on Closed Interval Real-Valued Functions with Supremum Norm forms Banach Space", "Definition:Complete Metric Space", "Baire Spa...
proofwiki-17974
Max Operation is Commutative
The Max operation is commutative: :$\map \max {x, y} = \map \max {y, x}$
To simplify our notation: :Let $\map \max {x, y}$ be (temporarily) denoted $x \overline \wedge y$ There are three cases to consider: :$(1): \quad x \le y$ :$(2): \quad y \le x$ :$(3): \quad x = y$ $(1): \quad$ Let $x \le y$. Then: {{begin-eqn}} {{eqn | l = x \overline \wedge y | r = y | rr= = y \overline \w...
The [[Definition:Max Operation|Max operation]] is [[Definition:Commutative Operation|commutative]]: :$\map \max {x, y} = \map \max {y, x}$
To simplify our notation: :Let $\map \max {x, y}$ be (temporarily) denoted $x \overline \wedge y$ There are three cases to consider: :$(1): \quad x \le y$ :$(2): \quad y \le x$ :$(3): \quad x = y$ $(1): \quad$ Let $x \le y$. Then: {{begin-eqn}} {{eqn | l = x \overline \wedge y | r = y | rr= = y \over...
Max Operation is Commutative
https://proofwiki.org/wiki/Max_Operation_is_Commutative
https://proofwiki.org/wiki/Max_Operation_is_Commutative
[ "Max Operation", "Examples of Commutative Operations" ]
[ "Definition:Max Operation", "Definition:Commutative/Operation" ]
[ "Definition:Commutative/Operation" ]
proofwiki-17975
Min Operation is Commutative
The Min operation is commutative: :$\map \min {x, y} = \map \min {y, x}$
To simplify our notation: :Let $\map \min {x, y}$ be (temporarily) denoted $x \underline \vee y$. There are three cases to consider: :$(1): \quad x \le y$ :$(2): \quad y \le x$ :$(3): \quad x = y$ $(1): \quad$ Let $x \le y$. Then: {{begin-eqn}} {{eqn | l = x \underline \vee y | r = x | rr= =y \underline \ve...
The [[Definition:Min Operation|Min operation]] is [[Definition:Commutative Operation|commutative]]: :$\map \min {x, y} = \map \min {y, x}$
To simplify our notation: :Let $\map \min {x, y}$ be (temporarily) denoted $x \underline \vee y$. There are three cases to consider: :$(1): \quad x \le y$ :$(2): \quad y \le x$ :$(3): \quad x = y$ $(1): \quad$ Let $x \le y$. Then: {{begin-eqn}} {{eqn | l = x \underline \vee y | r = x | rr= =y \underl...
Min Operation is Commutative
https://proofwiki.org/wiki/Min_Operation_is_Commutative
https://proofwiki.org/wiki/Min_Operation_is_Commutative
[ "Min Operation", "Examples of Commutative Operations" ]
[ "Definition:Min Operation", "Definition:Commutative/Operation" ]
[ "Definition:Commutative/Operation" ]
proofwiki-17976
Space of Somewhere Differentiable Continuous Functions on Closed Interval is Meager in Space of Continuous Functions on Closed Interval/Lemma 2
:for each $\tuple {n, m} \in \N^2$, $A_{n, m}$ is nowhere dense in $\struct {\map \CC I, d}$.
=== Lemma 2.1 === {{:Space of Somewhere Differentiable Continuous Functions on Closed Interval is Meager in Space of Continuous Functions on Closed Interval/Lemma 2/Lemma 2.1}}{{qed|lemma}} Fix $\tuple {n, m} \in \N^2$. By Lemma 2.1, $A_{n, m}$ is closed in $\struct {\map \CC I, d}$. Therefore by the second definition...
:for each $\tuple {n, m} \in \N^2$, $A_{n, m}$ is [[Definition:Nowhere Dense|nowhere dense]] in $\struct {\map \CC I, d}$.
=== [[Space of Somewhere Differentiable Continuous Functions on Closed Interval is Meager in Space of Continuous Functions on Closed Interval/Lemma 2/Lemma 2.1|Lemma 2.1]] === {{:Space of Somewhere Differentiable Continuous Functions on Closed Interval is Meager in Space of Continuous Functions on Closed Interval/Lemma...
Space of Somewhere Differentiable Continuous Functions on Closed Interval is Meager in Space of Continuous Functions on Closed Interval/Lemma 2
https://proofwiki.org/wiki/Space_of_Somewhere_Differentiable_Continuous_Functions_on_Closed_Interval_is_Meager_in_Space_of_Continuous_Functions_on_Closed_Interval/Lemma_2
https://proofwiki.org/wiki/Space_of_Somewhere_Differentiable_Continuous_Functions_on_Closed_Interval_is_Meager_in_Space_of_Continuous_Functions_on_Closed_Interval/Lemma_2
[ "Space of Somewhere Differentiable Continuous Functions on Closed Interval is Meager in Space of Continuous Functions on Closed Interval" ]
[ "Definition:Nowhere Dense" ]
[ "Space of Somewhere Differentiable Continuous Functions on Closed Interval is Meager in Space of Continuous Functions on Closed Interval/Lemma 2/Lemma 2.1", "Space of Somewhere Differentiable Continuous Functions on Closed Interval is Meager in Space of Continuous Functions on Closed Interval/Lemma 2/Lemma 2.1", ...
proofwiki-17977
Space of Somewhere Differentiable Continuous Functions on Closed Interval is Meager in Space of Continuous Functions on Closed Interval/Lemma 2/Lemma 2.1
:for each $\tuple {n, m} \in \N^2$, $A_{n, m}$ is closed in $\tuple {\map \CC I, d}$.
Fix $\tuple {n, m} \in \N^2$. From Space of Continuous on Closed Interval Real-Valued Functions with Supremum Norm forms Banach Space: :$\tuple {\map \CC I, d}$ is complete. Hence, from Subspace of Complete Metric Space is Closed iff Complete: :$A_{n, m}$ is closed {{iff}} $\tuple {A_{n, m}, d}$ is complete. Let $\seq...
:for each $\tuple {n, m} \in \N^2$, $A_{n, m}$ is [[Definition:Closed Set (Metric Space)|closed]] in $\tuple {\map \CC I, d}$.
Fix $\tuple {n, m} \in \N^2$. From [[Space of Continuous on Closed Interval Real-Valued Functions with Supremum Norm forms Banach Space]]: :$\tuple {\map \CC I, d}$ is [[Definition:Complete Metric Space|complete]]. Hence, from [[Subspace of Complete Metric Space is Closed iff Complete]]: :$A_{n, m}$ is [[Definitio...
Space of Somewhere Differentiable Continuous Functions on Closed Interval is Meager in Space of Continuous Functions on Closed Interval/Lemma 2/Lemma 2.1
https://proofwiki.org/wiki/Space_of_Somewhere_Differentiable_Continuous_Functions_on_Closed_Interval_is_Meager_in_Space_of_Continuous_Functions_on_Closed_Interval/Lemma_2/Lemma_2.1
https://proofwiki.org/wiki/Space_of_Somewhere_Differentiable_Continuous_Functions_on_Closed_Interval_is_Meager_in_Space_of_Continuous_Functions_on_Closed_Interval/Lemma_2/Lemma_2.1
[ "Space of Somewhere Differentiable Continuous Functions on Closed Interval is Meager in Space of Continuous Functions on Closed Interval" ]
[ "Definition:Closed Set/Metric Space" ]
[ "Space of Continuous on Closed Interval Real-Valued Functions with Supremum Norm forms Banach Space", "Definition:Complete Metric Space", "Subspace of Complete Metric Space is Closed iff Complete", "Definition:Closed Set/Metric Space", "Definition:Complete Metric Space", "Definition:Cauchy Sequence", "D...
proofwiki-17978
Decomposition of Mean Squared Error
<onlyinclude> Let $\theta$ be a population parameter of some stochastic model. Let $\hat \theta$ be an estimator of $\theta$. We then have: :$\map {\operatorname {MSE} } {\hat \theta} = \var {\hat \theta} + \paren {\map {\operatorname {bias}} {\hat \theta} }^2 $ where: :$\map {\operatorname {MSE} } {\hat \theta}$ denot...
Let $\delta = \hat \theta - \theta$. By {{Defof|Mean Squared Error of Estimator}}: :$\expect {\delta ^2} = \map {\operatorname {MSE} } {\hat \theta}$ and: {{begin-eqn}} {{eqn | l = \expect \delta | r = \expect {\paren {\hat \theta} - \theta} }} {{eqn | r = \expect {\hat \theta} - \theta | c = Expectation of...
<onlyinclude> Let $\theta$ be a [[Definition:Parameter of Stochastic Model|population parameter]] of some [[Definition:Stochastic Model|stochastic model]]. Let $\hat \theta$ be an [[Definition:Estimator|estimator]] of $\theta$. We then have: :$\map {\operatorname {MSE} } {\hat \theta} = \var {\hat \theta} + \paren {...
Let $\delta = \hat \theta - \theta$. By {{Defof|Mean Squared Error of Estimator}}: :$\expect {\delta ^2} = \map {\operatorname {MSE} } {\hat \theta}$ and: {{begin-eqn}} {{eqn | l = \expect \delta | r = \expect {\paren {\hat \theta} - \theta} }} {{eqn | r = \expect {\hat \theta} - \theta | c = [[Expectat...
Decomposition of Mean Squared Error
https://proofwiki.org/wiki/Decomposition_of_Mean_Squared_Error
https://proofwiki.org/wiki/Decomposition_of_Mean_Squared_Error
[ "Inductive Statistics", "Variance" ]
[ "Definition:Parameter of Stochastic Model", "Definition:Stochastic Model", "Definition:Estimator", "Definition:Mean Squared Error of Estimator", "Definition:Variance", "Definition:Bias/Estimator" ]
[ "Expectation of Linear Transformation of Random Variable", "Variance of Linear Transformation of Random Variable", "Variance as Expectation of Square minus Square of Expectation", "Category:Inductive Statistics", "Category:Variance" ]
proofwiki-17979
Subset of Nowhere Dense Subset is Nowhere Dense
Let $T = \struct {S, \tau}$ be a topological space. Let $A \subseteq S$ be nowhere dense in $T$. Let $B \subseteq A$. Then $B$ is nowhere dense in $T$.
{{AimForCont}} it is not the case that $B$ is nowhere dense in $T$. Then by definition of nowhere dense: :$B^-$ contains some open set of $T$ which is non-empty. From Set Closure Preserves Set Inclusion, we have: :$B^- \subseteq A^-$ So: :$A^-$ contains some open set of $T$ which is non-empty. So $A$ is not nowhere den...
Let $T = \struct {S, \tau}$ be a [[Definition:Topological Space|topological space]]. Let $A \subseteq S$ be [[Definition:Nowhere Dense|nowhere dense]] in $T$. Let $B \subseteq A$. Then $B$ is [[Definition:Nowhere Dense|nowhere dense]] in $T$.
{{AimForCont}} it is not the case that $B$ is [[Definition:Nowhere Dense|nowhere dense]] in $T$. Then by definition of [[Definition:Nowhere Dense|nowhere dense]]: :$B^-$ contains some [[Definition:Open Set (Topology)|open set]] of $T$ which is [[Definition:Non-Empty Set|non-empty]]. From [[Set Closure Preserves Set ...
Subset of Nowhere Dense Subset is Nowhere Dense
https://proofwiki.org/wiki/Subset_of_Nowhere_Dense_Subset_is_Nowhere_Dense
https://proofwiki.org/wiki/Subset_of_Nowhere_Dense_Subset_is_Nowhere_Dense
[ "Nowhere Dense" ]
[ "Definition:Topological Space", "Definition:Nowhere Dense", "Definition:Nowhere Dense" ]
[ "Definition:Nowhere Dense", "Definition:Nowhere Dense", "Definition:Open Set/Topology", "Definition:Non-Empty Set", "Set Closure Preserves Set Inclusion", "Definition:Open Set/Topology", "Definition:Non-Empty Set", "Definition:Nowhere Dense", "Definition:Contradiction", "Definition:Nowhere Dense",...
proofwiki-17980
Derived Set Preserves Set Inclusion
Let $T = \struct {S, \tau}$ be a topological space. Let $B \subseteq A \subseteq S$. Then: :$B' \subseteq A'$ where $A'$ and $B'$ are the derived sets in $T$ of $A$ and $B$ respectively.
Let: :$x \in B'$ By the definition of derived set: :$x$ is a limit point of $B$. Note that $B \subseteq A$. From Limit Point of Subset is Limit Point of Set: :$x$ is a limit point of $A$. So, $x \in A'$. That is: :$B' \subseteq A'$ {{qed}} Category:Limit Points bsp2iqal0g2yrhqr0u89brrzwg4vfjq
Let $T = \struct {S, \tau}$ be a [[Definition:Topological Space|topological space]]. Let $B \subseteq A \subseteq S$. Then: :$B' \subseteq A'$ where $A'$ and $B'$ are the [[Definition:Derived Set|derived sets]] in $T$ of $A$ and $B$ respectively.
Let: :$x \in B'$ By the definition of [[Definition:Derived Set|derived set]]: :$x$ is a [[Definition:Limit Point (Topology)|limit point]] of $B$. Note that $B \subseteq A$. From [[Limit Point of Subset is Limit Point of Set]]: :$x$ is a [[Definition:Limit Point (Topology)|limit point]] of $A$. So, $x \in A'$. ...
Derived Set Preserves Set Inclusion
https://proofwiki.org/wiki/Derived_Set_Preserves_Set_Inclusion
https://proofwiki.org/wiki/Derived_Set_Preserves_Set_Inclusion
[ "Limit Points" ]
[ "Definition:Topological Space", "Definition:Derived Set" ]
[ "Definition:Derived Set", "Definition:Limit Point/Topology", "Limit Point of Subset is Limit Point of Set", "Definition:Limit Point/Topology", "Category:Limit Points" ]
proofwiki-17981
Set Closure Preserves Set Inclusion
Let $T = \struct {S, \tau}$ be a topological space. Let $B \subseteq A \subseteq S$. Then: :$B^- \subseteq A^-$ where $A^-$ and $B^-$ are the set closures in $T$ of $A$ and $B$ respectively.
By definition 1 of set closure: :$B^- = B \cup B'$ where $B'$ is the derived set of $B$ in $T$. Similarly: :$A^- = A \cup A'$ where $A'$ is the derived set of $A$ in $T$. From Derived Set Preserves Set Inclusion: :$B' \subseteq A'$ So, by Set Union Preserves Subsets: :$B \cup B' \subseteq A \cup A'$ That is: :$B^- \su...
Let $T = \struct {S, \tau}$ be a [[Definition:Topological Space|topological space]]. Let $B \subseteq A \subseteq S$. Then: :$B^- \subseteq A^-$ where $A^-$ and $B^-$ are the [[Definition:Closure (Topology)|set closures]] in $T$ of $A$ and $B$ respectively.
By [[Definition:Closure (Topology)/Definition 1|definition 1 of set closure]]: :$B^- = B \cup B'$ where $B'$ is the [[Definition:Derived Set|derived set]] of $B$ in $T$. Similarly: :$A^- = A \cup A'$ where $A'$ is the [[Definition:Derived Set|derived set]] of $A$ in $T$. From [[Derived Set Preserves Set Inclusio...
Set Closure Preserves Set Inclusion
https://proofwiki.org/wiki/Set_Closure_Preserves_Set_Inclusion
https://proofwiki.org/wiki/Set_Closure_Preserves_Set_Inclusion
[ "Set Closures" ]
[ "Definition:Topological Space", "Definition:Closure (Topology)" ]
[ "Definition:Closure (Topology)/Definition 1", "Definition:Derived Set", "Definition:Derived Set", "Derived Set Preserves Set Inclusion", "Set Union Preserves Subsets", "Category:Set Closures" ]
proofwiki-17982
Subset of Meager Set is Meager Set
Let $T = \struct {S, \tau}$ be a topological space. Let $A$ be meager in $T$. Let $B \subseteq A$. Then $B$ is meager in $T$.
Since $A$ is meager in $T$: :there exists a countable collection of sets $\set {U_n: n \in \N}$ nowhere dense in $T$ such that $\ds A = \bigcup_{n \mathop \in \N} U_n$. Then, we have: {{begin-eqn}} {{eqn | l = B | r = A \cap B | c = Intersection with Subset is Subset }} {{eqn | r = \paren {\bigcup_{n \math...
Let $T = \struct {S, \tau}$ be a [[Definition:Topological Space|topological space]]. Let $A$ be [[Definition:Meager Space|meager]] in $T$. Let $B \subseteq A$. Then $B$ is [[Definition:Meager Space|meager]] in $T$.
Since $A$ is [[Definition:Meager Space|meager]] in $T$: :there exists a countable collection of sets $\set {U_n: n \in \N}$ [[Definition:Nowhere Dense|nowhere dense]] in $T$ such that $\ds A = \bigcup_{n \mathop \in \N} U_n$. Then, we have: {{begin-eqn}} {{eqn | l = B | r = A \cap B | c = [[Intersection...
Subset of Meager Set is Meager Set
https://proofwiki.org/wiki/Subset_of_Meager_Set_is_Meager_Set
https://proofwiki.org/wiki/Subset_of_Meager_Set_is_Meager_Set
[ "Meager Spaces" ]
[ "Definition:Topological Space", "Definition:Meager Space", "Definition:Meager Space" ]
[ "Definition:Meager Space", "Definition:Nowhere Dense", "Intersection with Subset is Subset", "Union Distributes over Intersection", "Intersection is Subset", "Subset of Nowhere Dense Subset is Nowhere Dense", "Definition:Nowhere Dense", "Definition:Set Union", "Definition:Nowhere Dense", "Definiti...
proofwiki-17983
Functions in Vector Space of Real-Valued Functions Continuously Differentiable on Closed Interval vanish at Endpoints
Let $I := \closedint a b$ be a closed real interval. Let $\struct {\map {C^1} I, +, \, \cdot \,}_\R$ be the continuously differentiable on closed interval real function vector space. Let $S := \set {x \in \map {C^1} I : \map x a = y_a, \map x b = y_b}$. Then $S$ is a vector subspace of $\struct {\map {C^1} I, +, \, \cd...
=== Necessary Condition === Suppose $y_a = y_b = 0$.
Let $I := \closedint a b$ be a [[Definition:Closed Real Interval|closed real interval]]. Let $\struct {\map {C^1} I, +, \, \cdot \,}_\R$ be the [[Space of Continuously Differentiable on Closed Interval Real-Valued Functions with Pointwise Addition and Pointwise Scalar Multiplication forms Vector Space|continuously dif...
=== Necessary Condition === Suppose $y_a = y_b = 0$.
Functions in Vector Space of Real-Valued Functions Continuously Differentiable on Closed Interval vanish at Endpoints
https://proofwiki.org/wiki/Functions_in_Vector_Space_of_Real-Valued_Functions_Continuously_Differentiable_on_Closed_Interval_vanish_at_Endpoints
https://proofwiki.org/wiki/Functions_in_Vector_Space_of_Real-Valued_Functions_Continuously_Differentiable_on_Closed_Interval_vanish_at_Endpoints
[ "Vector Spaces", "Differentiable Real-Valued Functions" ]
[ "Definition:Real Interval/Closed", "Space of Continuously Differentiable on Closed Interval Real-Valued Functions with Pointwise Addition and Pointwise Scalar Multiplication forms Vector Space", "Definition:Vector Subspace" ]
[]
proofwiki-17984
Union of Meager Sets is Meager Set
Let $T = \struct {S, \tau}$ be a topological space. Let $A$ and $B$ be meager in $T$. Then $A \cup B$ is meager in $T$.
Since $A$ is meager in $T$: :there exists a countable collection of sets $\set {U_n: n \in \N}$ nowhere dense in $T$ such that $\ds A = \bigcup_{n \mathop \in \N} U_n$. Since $B$ is meager in $T$: :there exists a countable collection of sets $\set {V_m: m \in \N}$ nowhere dense in $T$ such that $\ds B = \bigcup_{m \mat...
Let $T = \struct {S, \tau}$ be a [[Definition:Topological Space|topological space]]. Let $A$ and $B$ be [[Definition:Meager Space|meager]] in $T$. Then $A \cup B$ is [[Definition:Meager Space|meager]] in $T$.
Since $A$ is [[Definition:Meager Space|meager]] in $T$: :there exists a [[Definition:Countable Set|countable]] collection of sets $\set {U_n: n \in \N}$ [[Definition:Nowhere Dense|nowhere dense]] in $T$ such that $\ds A = \bigcup_{n \mathop \in \N} U_n$. Since $B$ is [[Definition:Meager Space|meager]] in $T$: :there...
Union of Meager Sets is Meager Set
https://proofwiki.org/wiki/Union_of_Meager_Sets_is_Meager_Set
https://proofwiki.org/wiki/Union_of_Meager_Sets_is_Meager_Set
[ "Meager Spaces", "Set Union" ]
[ "Definition:Topological Space", "Definition:Meager Space", "Definition:Meager Space" ]
[ "Definition:Meager Space", "Definition:Countable Set", "Definition:Nowhere Dense", "Definition:Meager Space", "Definition:Countable Set", "Definition:Nowhere Dense", "Definition:Set Union/Countable Union", "Definition:Nowhere Dense", "Definition:Meager Space", "Category:Meager Spaces", "Category...
proofwiki-17985
Primitive of Reciprocal of p squared plus Square of q by Hyperbolic Cosine of a x/Inverse Hyperbolic Tangent Form
:$\ds \int \frac {\d x} {p^2 + q^2 \cosh^2 a x} = \dfrac 1 {a p \sqrt {p^2 + q^2} } \tanh^{-1} \dfrac {p \tanh a x} {\sqrt {p^2 + q^2} } + C$
{{begin-eqn}} {{eqn | l = \int \frac {\d x} {p^2 + q^2 \cosh^2 a x} | r = \frac 1 {2 a p \sqrt {p^2 + q^2} } \ln \size {\frac {p \tanh a x + \sqrt {p^2 + q^2} } {p \tanh a x - \sqrt {p^2 + q^2} } } + C | c = Primitive of $\dfrac {\d x} {p^2 + q^2 \cosh^2 a x}$: Logarithm Form }} {{eqn | r = \frac 1 {a p \sq...
:$\ds \int \frac {\d x} {p^2 + q^2 \cosh^2 a x} = \dfrac 1 {a p \sqrt {p^2 + q^2} } \tanh^{-1} \dfrac {p \tanh a x} {\sqrt {p^2 + q^2} } + C$
{{begin-eqn}} {{eqn | l = \int \frac {\d x} {p^2 + q^2 \cosh^2 a x} | r = \frac 1 {2 a p \sqrt {p^2 + q^2} } \ln \size {\frac {p \tanh a x + \sqrt {p^2 + q^2} } {p \tanh a x - \sqrt {p^2 + q^2} } } + C | c = [[Primitive of Reciprocal of p squared plus Square of q by Hyperbolic Cosine of a x/Logarithm Form|P...
Primitive of Reciprocal of p squared plus Square of q by Hyperbolic Cosine of a x/Inverse Hyperbolic Tangent Form
https://proofwiki.org/wiki/Primitive_of_Reciprocal_of_p_squared_plus_Square_of_q_by_Hyperbolic_Cosine_of_a_x/Inverse_Hyperbolic_Tangent_Form
https://proofwiki.org/wiki/Primitive_of_Reciprocal_of_p_squared_plus_Square_of_q_by_Hyperbolic_Cosine_of_a_x/Inverse_Hyperbolic_Tangent_Form
[ "Primitive of Reciprocal of p squared plus Square of q by Hyperbolic Cosine of a x" ]
[]
[ "Primitive of Reciprocal of p squared plus Square of q by Hyperbolic Cosine of a x/Logarithm Form" ]
proofwiki-17986
Weierstrass Function is Continuous
Let $a \in \openint 0 1$. Let $b$ be a strictly positive odd integer such that: :$\ds a b > 1 + \frac 3 2 \pi$ Let $f: \R \to \R$ be a real function defined by: :$\ds \map f x = \sum_{n \mathop = 0}^\infty a^n \map \cos {b^n \pi x}$ for each $x \in \R$. Then $f$ is well-defined and continuous.
Note that: :$\ds \sup_{x \mathop \in \R} \size {a^n \map \cos {b^n \pi x} } = a^n$ Since $a \in \openint 0 1$: :$\ds \sum_{n \mathop = 0}^\infty a^n$ converges. So, by the Weierstrass M-Test: :$\ds \sum_{n \mathop = 0}^\infty a^n \map \cos {b^n \pi x}$ converges uniformly on $\R$. That is, $f$ is well-defined. Furthe...
Let $a \in \openint 0 1$. Let $b$ be a [[Definition:Strictly Positive Integer|strictly positive]] [[Definition:Odd Integer|odd integer]] such that: :$\ds a b > 1 + \frac 3 2 \pi$ Let $f: \R \to \R$ be a [[Definition:Real Function|real function]] defined by: :$\ds \map f x = \sum_{n \mathop = 0}^\infty a^n \map \...
Note that: :$\ds \sup_{x \mathop \in \R} \size {a^n \map \cos {b^n \pi x} } = a^n$ Since $a \in \openint 0 1$: :$\ds \sum_{n \mathop = 0}^\infty a^n$ [[Definition:Convergent Series|converges]]. So, by the [[Weierstrass M-Test]]: :$\ds \sum_{n \mathop = 0}^\infty a^n \map \cos {b^n \pi x}$ [[Definition:Uniformly C...
Weierstrass Function is Continuous
https://proofwiki.org/wiki/Weierstrass_Function_is_Continuous
https://proofwiki.org/wiki/Weierstrass_Function_is_Continuous
[ "Weierstrass Functions" ]
[ "Definition:Strictly Positive/Integer", "Definition:Odd Integer", "Definition:Real Function", "Definition:Continuous Real Function" ]
[ "Definition:Convergent Series", "Weierstrass M-Test", "Definition:Uniform Convergence/Infinite Series", "Uniformly Convergent Series of Continuous Functions Converges to Continuous Function/Corollary", "Definition:Continuous Real Function", "Category:Weierstrass Functions" ]
proofwiki-17987
Real Inverse Hyperbolic Sine Function is Bijection
The real inverse hyperbolic sine is a bijection.
From Hyperbolic Sine is Bijection over Reals and by definition of bijection, we have that $\sinh$ admits an inverse function over $\R$. From: :Domain of Bijection is Codomain of Inverse :Codomain of Bijection is Domain of Inverse the domain and image of hyperbolic sine over $\R$, is $\R$. {{qed}} Category:Inverse Hyper...
The [[Definition:Real Inverse Hyperbolic Sine|real inverse hyperbolic sine]] is a [[Definition:Bijection|bijection]].
From [[Hyperbolic Sine is Bijection over Reals]] and by definition of [[Definition:Bijection/Definition 3|bijection]], we have that $\sinh$ admits an [[Definition:Inverse Mapping|inverse function]] over $\R$. From: :[[Domain of Bijection is Codomain of Inverse]] :[[Codomain of Bijection is Domain of Inverse]] the [[D...
Real Inverse Hyperbolic Sine Function is Bijection
https://proofwiki.org/wiki/Real_Inverse_Hyperbolic_Sine_Function_is_Bijection
https://proofwiki.org/wiki/Real_Inverse_Hyperbolic_Sine_Function_is_Bijection
[ "Inverse Hyperbolic Sine" ]
[ "Definition:Inverse Hyperbolic Sine/Real", "Definition:Bijection" ]
[ "Hyperbolic Sine is Bijection over Reals", "Definition:Bijection/Definition 3", "Definition:Inverse Mapping", "Domain of Bijection is Codomain of Inverse", "Codomain of Bijection is Domain of Inverse", "Definition:Domain (Set Theory)/Mapping", "Definition:Image (Set Theory)/Mapping/Mapping", "Definiti...
proofwiki-17988
Power Series Expansion for Real Area Hyperbolic Sine
The (real) area hyperbolic sine function has a Taylor series expansion: {{begin-eqn}} {{eqn | l = \arsinh x | r = <nowiki>\begin {cases} \ds \sum_{n \mathop = 0}^\infty \frac {\paren {-1}^n \paren {2 n}!} {2^{2 n} \paren {n!}^2} \frac {x^{2 n + 1} } {2 n + 1} & : \size x < 1 \\ \\ \ds \ln 2 x + \paren {\sum_{n \m...
=== Lemma 1 === {{:Power Series Expansion for Real Area Hyperbolic Sine/Lemma 1}}{{qed|lemma}} From Power Series is Termwise Integrable within Radius of Convergence, $(1)$ can be integrated term by term: {{begin-eqn}} {{eqn | l = \int_0^x \frac 1 {\sqrt {t^2 + 1} } \rd t | r = \sum_{n \mathop = 0}^\infty \int_0^x...
The [[Definition:Real Area Hyperbolic Sine|(real) area hyperbolic sine]] function has a [[Definition:Taylor Series|Taylor series expansion]]: {{begin-eqn}} {{eqn | l = \arsinh x | r = <nowiki>\begin {cases} \ds \sum_{n \mathop = 0}^\infty \frac {\paren {-1}^n \paren {2 n}!} {2^{2 n} \paren {n!}^2} \frac {x^{2 n ...
=== [[Power Series Expansion for Real Area Hyperbolic Sine/Lemma 1|Lemma 1]] === {{:Power Series Expansion for Real Area Hyperbolic Sine/Lemma 1}}{{qed|lemma}} From [[Power Series is Termwise Integrable within Radius of Convergence]], $(1)$ can be [[Definition:Integration|integrated]] term by term: {{begin-eqn}} {{e...
Power Series Expansion for Real Area Hyperbolic Sine
https://proofwiki.org/wiki/Power_Series_Expansion_for_Real_Area_Hyperbolic_Sine
https://proofwiki.org/wiki/Power_Series_Expansion_for_Real_Area_Hyperbolic_Sine
[ "Power Series Expansion for Real Area Hyperbolic Sine", "Examples of Power Series", "Inverse Hyperbolic Sine" ]
[ "Definition:Inverse Hyperbolic Sine/Real/Definition 2", "Definition:Taylor Series" ]
[ "Power Series Expansion for Real Area Hyperbolic Sine/Lemma 1", "Power Series is Termwise Integrable within Radius of Convergence", "Definition:Primitive (Calculus)/Integration", "Derivative of Inverse Hyperbolic Sine", "Definition:Convergent Series", "Stirling's Formula", "Convergence of P-Series", "...
proofwiki-17989
Power Series Expansion for Real Area Hyperbolic Cosecant
The (real) area hyperbolic cosecant function has a Taylor series expansion: {{begin-eqn}} {{eqn | l = \arcsch x | r = <nowiki>\begin {cases} \ds \sum_{n \mathop = 0}^\infty \frac {\paren {-1}^n \paren {2 n}!} {2^{2 n} \paren {n!}^2} \frac 1 {\paren {2 n + 1} x^{2 n + 1} } & : \size x \ge 1 \\ \ds \ln \dfrac 2 x ...
From Power Series Expansion for Real Area Hyperbolic Sine: {{begin-eqn}} {{eqn | l = \arsinh x | r = <nowiki>\begin {cases} \ds \sum_{n \mathop = 0}^\infty \frac {\paren {-1}^n \paren {2 n}!} {2^{2 n} \paren {n!}^2} \frac {x^{2 n + 1} } {2 n + 1} & : \size x \le 1 \\ \ds \ln 2 x - \paren {\sum_{n \mathop = 1}^\i...
The [[Definition:Real Area Hyperbolic Cosecant|(real) area hyperbolic cosecant]] function has a [[Definition:Taylor Series|Taylor series expansion]]: {{begin-eqn}} {{eqn | l = \arcsch x | r = <nowiki>\begin {cases} \ds \sum_{n \mathop = 0}^\infty \frac {\paren {-1}^n \paren {2 n}!} {2^{2 n} \paren {n!}^2} \frac ...
From [[Power Series Expansion for Real Area Hyperbolic Sine]]: {{begin-eqn}} {{eqn | l = \arsinh x | r = <nowiki>\begin {cases} \ds \sum_{n \mathop = 0}^\infty \frac {\paren {-1}^n \paren {2 n}!} {2^{2 n} \paren {n!}^2} \frac {x^{2 n + 1} } {2 n + 1} & : \size x \le 1 \\ \ds \ln 2 x - \paren {\sum_{n \mathop = 1...
Power Series Expansion for Real Area Hyperbolic Cosecant
https://proofwiki.org/wiki/Power_Series_Expansion_for_Real_Area_Hyperbolic_Cosecant
https://proofwiki.org/wiki/Power_Series_Expansion_for_Real_Area_Hyperbolic_Cosecant
[ "Examples of Power Series", "Inverse Hyperbolic Cosecant" ]
[ "Definition:Inverse Hyperbolic Cosecant/Real/Definition 2", "Definition:Taylor Series" ]
[ "Power Series Expansion for Real Area Hyperbolic Sine", "Real Area Hyperbolic Sine of Reciprocal equals Real Area Hyperbolic Cosecant" ]
proofwiki-17990
Power Series Expansion for Real Area Hyperbolic Secant
The (real) area hyperbolic secant function has a Taylor series expansion: {{begin-eqn}} {{eqn | l = \arsech x | r = \ln \frac 2 x - \paren {\sum_{n \mathop = 1}^\infty \frac {\paren {2 n}! x^{2 n} } {2^{2 n} \paren {n!}^2 \paren {2 n} } } | c = }} {{eqn | r = \ln \frac 2 x - \paren {\dfrac 1 2 \dfrac {x^2}...
From Power Series Expansion for Real Area Hyperbolic Cosine: {{begin-eqn}} {{eqn | l = \arcosh x | r = \ln 2 x - \paren {\sum_{n \mathop = 1}^\infty \frac {\paren {2 n}!} {2^{2 n} \paren {n!}^2 \paren {2 n} x^{2 n} } } | c = }} {{eqn | r = \ln 2 x - \paren {\dfrac 1 2 \dfrac 1 {2 x^2} + \dfrac {1 \times 3}...
The [[Definition:Real Area Hyperbolic Secant|(real) area hyperbolic secant]] function has a [[Definition:Taylor Series|Taylor series expansion]]: {{begin-eqn}} {{eqn | l = \arsech x | r = \ln \frac 2 x - \paren {\sum_{n \mathop = 1}^\infty \frac {\paren {2 n}! x^{2 n} } {2^{2 n} \paren {n!}^2 \paren {2 n} } } ...
From [[Power Series Expansion for Real Area Hyperbolic Cosine]]: {{begin-eqn}} {{eqn | l = \arcosh x | r = \ln 2 x - \paren {\sum_{n \mathop = 1}^\infty \frac {\paren {2 n}!} {2^{2 n} \paren {n!}^2 \paren {2 n} x^{2 n} } } | c = }} {{eqn | r = \ln 2 x - \paren {\dfrac 1 2 \dfrac 1 {2 x^2} + \dfrac {1 \time...
Power Series Expansion for Real Area Hyperbolic Secant
https://proofwiki.org/wiki/Power_Series_Expansion_for_Real_Area_Hyperbolic_Secant
https://proofwiki.org/wiki/Power_Series_Expansion_for_Real_Area_Hyperbolic_Secant
[ "Examples of Power Series", "Inverse Hyperbolic Secant" ]
[ "Definition:Inverse Hyperbolic Secant/Real/Principal Branch", "Definition:Taylor Series" ]
[ "Power Series Expansion for Real Area Hyperbolic Cosine", "Real Area Hyperbolic Cosine of Reciprocal equals Real Area Hyperbolic Secant" ]
proofwiki-17991
Primitive of Inverse Hyperbolic Cosine of x over a/Corollary
:$\ds \int -\cosh^{-1} \frac x a \rd x = x \paren {-\cosh^{-1} \dfrac x a} + \sqrt {x^2 - a^2} + C$ where $-\cosh^{-1}$ denotes the negative branch of the real inverse hyperbolic cosine multifunction.
{{begin-eqn}} {{eqn | l = -\cosh^{-1} \frac x a | r = -\arcosh \frac x a | c = {{Defof|Real Inverse Hyperbolic Cosine}} }} {{eqn | ll= \leadsto | l = \int -\cosh^{-1} \frac x a \rd x | r = -\int \arcosh \frac x a \rd x | c = }} {{eqn | r = -\paren {x \arcosh \dfrac x a - \sqrt {x^2 - a^2}...
:$\ds \int -\cosh^{-1} \frac x a \rd x = x \paren {-\cosh^{-1} \dfrac x a} + \sqrt {x^2 - a^2} + C$ where $-\cosh^{-1}$ denotes the [[Definition:Negative Real Number|negative]] [[Definition:Branch of Multifunction|branch]] of the [[Definition:Real Inverse Hyperbolic Cosine|real inverse hyperbolic cosine]] [[Definition...
{{begin-eqn}} {{eqn | l = -\cosh^{-1} \frac x a | r = -\arcosh \frac x a | c = {{Defof|Real Inverse Hyperbolic Cosine}} }} {{eqn | ll= \leadsto | l = \int -\cosh^{-1} \frac x a \rd x | r = -\int \arcosh \frac x a \rd x | c = }} {{eqn | r = -\paren {x \arcosh \dfrac x a - \sqrt {x^2 - a^2}...
Primitive of Inverse Hyperbolic Cosine of x over a/Corollary
https://proofwiki.org/wiki/Primitive_of_Inverse_Hyperbolic_Cosine_of_x_over_a/Corollary
https://proofwiki.org/wiki/Primitive_of_Inverse_Hyperbolic_Cosine_of_x_over_a/Corollary
[ "Primitive of Inverse Hyperbolic Cosine of x over a" ]
[ "Definition:Negative/Real Number", "Definition:Multifunction/Branch", "Definition:Inverse Hyperbolic Cosine/Real", "Definition:Left-Total Relation/Multifunction" ]
[ "Primitive of Inverse Hyperbolic Cosine of x over a" ]
proofwiki-17992
Primitive of x by Inverse Hyperbolic Cosine of x over a/Corollary
:$\ds \int x \paren {-\cosh^{-1} \frac x a} \rd x = \paren {\dfrac {x^2} 2 - \dfrac {a^2} 4} \paren {-\cosh^{-1} \frac x a} + \dfrac {x \sqrt {x^2 - a^2} } 4 + C$ where $-\cosh^{-1}$ denotes the negative branch of the real inverse hyperbolic cosine multifunction.
{{begin-eqn}} {{eqn | l = -\cosh^{-1} \frac x a | r = -\arcosh \frac x a | c = {{Defof|Real Inverse Hyperbolic Cosine}} }} {{eqn | ll= \leadsto | l = \int x \paren {-\cosh^{-1} \frac x a} \rd x | r = -\int x \arcosh \frac x a \rd x | c = }} {{eqn | r = -\paren {\dfrac {x^2} 2 - \dfrac {a^...
:$\ds \int x \paren {-\cosh^{-1} \frac x a} \rd x = \paren {\dfrac {x^2} 2 - \dfrac {a^2} 4} \paren {-\cosh^{-1} \frac x a} + \dfrac {x \sqrt {x^2 - a^2} } 4 + C$ where $-\cosh^{-1}$ denotes the [[Definition:Negative Real Number|negative]] [[Definition:Branch of Multifunction|branch]] of the [[Definition:Real Inverse ...
{{begin-eqn}} {{eqn | l = -\cosh^{-1} \frac x a | r = -\arcosh \frac x a | c = {{Defof|Real Inverse Hyperbolic Cosine}} }} {{eqn | ll= \leadsto | l = \int x \paren {-\cosh^{-1} \frac x a} \rd x | r = -\int x \arcosh \frac x a \rd x | c = }} {{eqn | r = -\paren {\dfrac {x^2} 2 - \dfrac {a^...
Primitive of x by Inverse Hyperbolic Cosine of x over a/Corollary
https://proofwiki.org/wiki/Primitive_of_x_by_Inverse_Hyperbolic_Cosine_of_x_over_a/Corollary
https://proofwiki.org/wiki/Primitive_of_x_by_Inverse_Hyperbolic_Cosine_of_x_over_a/Corollary
[ "Primitive of x by Inverse Hyperbolic Cosine of x over a" ]
[ "Definition:Negative/Real Number", "Definition:Multifunction/Branch", "Definition:Inverse Hyperbolic Cosine/Real", "Definition:Left-Total Relation/Multifunction" ]
[ "Primitive of x by Inverse Hyperbolic Cosine of x over a" ]
proofwiki-17993
Primitive of Inverse Hyperbolic Cosine of x over a over x/Corollary
{{begin-eqn}} {{eqn | l = \int \dfrac 1 x \paren {-\cosh^{-1} \dfrac x a} \rd x | r = -\dfrac 1 2 \ln^2 \paren {\dfrac {2 x} a} - \sum_{n \mathop \ge 1} \frac {\paren {2 n}!} {2^{2 n} \paren {n!}^2 \paren {2 n}^2} \paren {\frac a x}^{2 n} + C | c = }} {{eqn | r = -\dfrac 1 2 \ln^2 \paren {\dfrac {2 x} a} -...
{{begin-eqn}} {{eqn | l = -\cosh^{-1} \frac x a | r = -\arcosh \frac x a | c = {{Defof|Real Inverse Hyperbolic Cosine}} }} {{eqn | ll= \leadsto | l = \int \dfrac 1 x \paren {-\cosh^{-1} \dfrac x a} \rd x | r = -\int \dfrac 1 x \arcosh \dfrac x a \rd x | c = }} {{eqn | r = -\paren {\dfrac ...
{{begin-eqn}} {{eqn | l = \int \dfrac 1 x \paren {-\cosh^{-1} \dfrac x a} \rd x | r = -\dfrac 1 2 \ln^2 \paren {\dfrac {2 x} a} - \sum_{n \mathop \ge 1} \frac {\paren {2 n}!} {2^{2 n} \paren {n!}^2 \paren {2 n}^2} \paren {\frac a x}^{2 n} + C | c = }} {{eqn | r = -\dfrac 1 2 \ln^2 \paren {\dfrac {2 x} a} -...
{{begin-eqn}} {{eqn | l = -\cosh^{-1} \frac x a | r = -\arcosh \frac x a | c = {{Defof|Real Inverse Hyperbolic Cosine}} }} {{eqn | ll= \leadsto | l = \int \dfrac 1 x \paren {-\cosh^{-1} \dfrac x a} \rd x | r = -\int \dfrac 1 x \arcosh \dfrac x a \rd x | c = }} {{eqn | r = -\paren {\dfrac ...
Primitive of Inverse Hyperbolic Cosine of x over a over x/Corollary
https://proofwiki.org/wiki/Primitive_of_Inverse_Hyperbolic_Cosine_of_x_over_a_over_x/Corollary
https://proofwiki.org/wiki/Primitive_of_Inverse_Hyperbolic_Cosine_of_x_over_a_over_x/Corollary
[ "Primitive of Inverse Hyperbolic Cosine of x over a over x" ]
[ "Definition:Negative/Real Number", "Definition:Multifunction/Branch", "Definition:Inverse Hyperbolic Cosine/Real", "Definition:Left-Total Relation/Multifunction" ]
[ "Primitive of Inverse Hyperbolic Cosine of x over a" ]
proofwiki-17994
Primitive of Inverse Hyperbolic Secant of x over a/Corollary
:$\ds \int \sech^{-1} \frac x a \rd x = -x \paren {-\sech^{-1} \dfrac x a} - a \arcsin \dfrac x a + C$ where $-\sech^{-1}$ denotes the negative branch of the real inverse hyperbolic secant multifunction.
{{begin-eqn}} {{eqn | l = -\sech^{-1} \frac x a | r = -\arsech \frac x a | c = {{Defof|Real Inverse Hyperbolic Secant}} }} {{eqn | ll= \leadsto | l = \int -\sech^{-1} \frac x a \rd x | r = -\int \arsech \frac x a \rd x | c = }} {{eqn | r = -\paren {x \arsech \dfrac x a + a \arcsin \dfrac ...
:$\ds \int \sech^{-1} \frac x a \rd x = -x \paren {-\sech^{-1} \dfrac x a} - a \arcsin \dfrac x a + C$ where $-\sech^{-1}$ denotes the [[Definition:Negative Real Number|negative]] [[Definition:Branch of Multifunction|branch]] of the [[Definition:Real Inverse Hyperbolic Secant|real inverse hyperbolic secant]] [[Definit...
{{begin-eqn}} {{eqn | l = -\sech^{-1} \frac x a | r = -\arsech \frac x a | c = {{Defof|Real Inverse Hyperbolic Secant}} }} {{eqn | ll= \leadsto | l = \int -\sech^{-1} \frac x a \rd x | r = -\int \arsech \frac x a \rd x | c = }} {{eqn | r = -\paren {x \arsech \dfrac x a + a \arcsin \dfrac ...
Primitive of Inverse Hyperbolic Secant of x over a/Corollary
https://proofwiki.org/wiki/Primitive_of_Inverse_Hyperbolic_Secant_of_x_over_a/Corollary
https://proofwiki.org/wiki/Primitive_of_Inverse_Hyperbolic_Secant_of_x_over_a/Corollary
[ "Primitive of Inverse Hyperbolic Secant of x over a" ]
[ "Definition:Negative/Real Number", "Definition:Multifunction/Branch", "Definition:Inverse Hyperbolic Secant/Real", "Definition:Left-Total Relation/Multifunction" ]
[ "Primitive of Inverse Hyperbolic Secant of x over a" ]
proofwiki-17995
Primitive of Power of x by Inverse Hyperbolic Cosine of x over a/Corollary
:$\ds \int x^m \paren {-\cosh^{-1} \frac x a} \rd x = \dfrac {x^{m + 1} } {m + 1} \paren {-\cosh^{-1} \frac x a} + \dfrac 1 {m + 1} \int \dfrac {x^{m + 1} } {\sqrt {x^2 - a^2} } \rd x + C$ where $-\cosh^{-1}$ denotes the negative branch of the real inverse hyperbolic cosine multifunction.
{{begin-eqn}} {{eqn | l = -\cosh^{-1} \frac x a | r = -\arcosh \frac x a | c = {{Defof|Real Inverse Hyperbolic Cosine}} }} {{eqn | ll= \leadsto | l = \int x^m \paren {-\cosh^{-1} \frac x a} \rd x | r = -\int x^m \arcosh \frac x a \rd x | c = }} {{eqn | r = -\paren {\dfrac {x^{m + 1} } {m ...
:$\ds \int x^m \paren {-\cosh^{-1} \frac x a} \rd x = \dfrac {x^{m + 1} } {m + 1} \paren {-\cosh^{-1} \frac x a} + \dfrac 1 {m + 1} \int \dfrac {x^{m + 1} } {\sqrt {x^2 - a^2} } \rd x + C$ where $-\cosh^{-1}$ denotes the [[Definition:Negative Real Number|negative]] [[Definition:Branch of Multifunction|branch]] of the ...
{{begin-eqn}} {{eqn | l = -\cosh^{-1} \frac x a | r = -\arcosh \frac x a | c = {{Defof|Real Inverse Hyperbolic Cosine}} }} {{eqn | ll= \leadsto | l = \int x^m \paren {-\cosh^{-1} \frac x a} \rd x | r = -\int x^m \arcosh \frac x a \rd x | c = }} {{eqn | r = -\paren {\dfrac {x^{m + 1} } {m ...
Primitive of Power of x by Inverse Hyperbolic Cosine of x over a/Corollary
https://proofwiki.org/wiki/Primitive_of_Power_of_x_by_Inverse_Hyperbolic_Cosine_of_x_over_a/Corollary
https://proofwiki.org/wiki/Primitive_of_Power_of_x_by_Inverse_Hyperbolic_Cosine_of_x_over_a/Corollary
[ "Primitive of Power of x by Inverse Hyperbolic Cosine of x over a" ]
[ "Definition:Negative/Real Number", "Definition:Multifunction/Branch", "Definition:Inverse Hyperbolic Cosine/Real", "Definition:Left-Total Relation/Multifunction" ]
[ "Primitive of Power of x by Inverse Hyperbolic Cosine of x over a" ]
proofwiki-17996
Primitive of x by Inverse Hyperbolic Secant of x over a/Corollary
:$\ds \int x \paren {-\sech^{-1} \frac x a} \rd x = -\dfrac {x^2} 2 \paren {-\sech^{-1} \frac x a} + \dfrac {a \sqrt {a^2 - x^2} } 2 + C$ where $-\sech^{-1}$ denotes the negative branch of the real inverse hyperbolic secant multifunction.
{{begin-eqn}} {{eqn | l = -\sech^{-1} \frac x a | r = -\arsech \frac x a | c = {{Defof|Real Inverse Hyperbolic Secant}} }} {{eqn | ll= \leadsto | l = \int x \paren {-\sech^{-1} \frac x a} \rd x | r = -\int x \arsech \frac x a \rd x | c = }} {{eqn | r = -\paren {\dfrac {x^2} 2 \arsech \dfr...
:$\ds \int x \paren {-\sech^{-1} \frac x a} \rd x = -\dfrac {x^2} 2 \paren {-\sech^{-1} \frac x a} + \dfrac {a \sqrt {a^2 - x^2} } 2 + C$ where $-\sech^{-1}$ denotes the [[Definition:Negative Real Number|negative]] [[Definition:Branch of Multifunction|branch]] of the [[Definition:Real Inverse Hyperbolic Secant|real in...
{{begin-eqn}} {{eqn | l = -\sech^{-1} \frac x a | r = -\arsech \frac x a | c = {{Defof|Real Inverse Hyperbolic Secant}} }} {{eqn | ll= \leadsto | l = \int x \paren {-\sech^{-1} \frac x a} \rd x | r = -\int x \arsech \frac x a \rd x | c = }} {{eqn | r = -\paren {\dfrac {x^2} 2 \arsech \dfr...
Primitive of x by Inverse Hyperbolic Secant of x over a/Corollary
https://proofwiki.org/wiki/Primitive_of_x_by_Inverse_Hyperbolic_Secant_of_x_over_a/Corollary
https://proofwiki.org/wiki/Primitive_of_x_by_Inverse_Hyperbolic_Secant_of_x_over_a/Corollary
[ "Primitive of x by Inverse Hyperbolic Secant of x over a" ]
[ "Definition:Negative/Real Number", "Definition:Multifunction/Branch", "Definition:Inverse Hyperbolic Secant/Real", "Definition:Left-Total Relation/Multifunction" ]
[ "Primitive of x by Inverse Hyperbolic Secant of x over a" ]
proofwiki-17997
Primitive of Inverse Hyperbolic Secant of x over a over x/Corollary
{{begin-eqn}} {{eqn | l = \int \dfrac 1 x \paren {-\sech^{-1} \dfrac x a} \rd x | r = \frac 1 2 \map \ln {\dfrac a x} \map \ln {\dfrac {4 a} x} + \sum_{n \mathop \ge 1} \frac {\paren {2 n}!} {2^{2 n} \paren {n!}^2 \paren {2 n}^2} \paren {\frac x a}^{2 n} + C | c = }} {{eqn | r = \dfrac 1 2 \map \ln {\dfrac...
{{begin-eqn}} {{eqn | l = -\sech^{-1} \frac x a | r = -\arsech \frac x a | c = {{Defof|Real Inverse Hyperbolic Secant}} }} {{eqn | ll= \leadsto | l = \int \dfrac 1 x \paren {-\sech^{-1} \dfrac x a} \rd x | r = -\int \dfrac 1 x \arsech \dfrac x a \rd x | c = }} {{eqn | r = -\paren {-\frac ...
{{begin-eqn}} {{eqn | l = \int \dfrac 1 x \paren {-\sech^{-1} \dfrac x a} \rd x | r = \frac 1 2 \map \ln {\dfrac a x} \map \ln {\dfrac {4 a} x} + \sum_{n \mathop \ge 1} \frac {\paren {2 n}!} {2^{2 n} \paren {n!}^2 \paren {2 n}^2} \paren {\frac x a}^{2 n} + C | c = }} {{eqn | r = \dfrac 1 2 \map \ln {\dfrac...
{{begin-eqn}} {{eqn | l = -\sech^{-1} \frac x a | r = -\arsech \frac x a | c = {{Defof|Real Inverse Hyperbolic Secant}} }} {{eqn | ll= \leadsto | l = \int \dfrac 1 x \paren {-\sech^{-1} \dfrac x a} \rd x | r = -\int \dfrac 1 x \arsech \dfrac x a \rd x | c = }} {{eqn | r = -\paren {-\frac ...
Primitive of Inverse Hyperbolic Secant of x over a over x/Corollary
https://proofwiki.org/wiki/Primitive_of_Inverse_Hyperbolic_Secant_of_x_over_a_over_x/Corollary
https://proofwiki.org/wiki/Primitive_of_Inverse_Hyperbolic_Secant_of_x_over_a_over_x/Corollary
[ "Primitive of Inverse Hyperbolic Secant of x over a over x" ]
[ "Definition:Negative/Real Number", "Definition:Multifunction/Branch", "Definition:Inverse Hyperbolic Secant/Real", "Definition:Left-Total Relation/Multifunction" ]
[ "Primitive of Inverse Hyperbolic Secant of x over a over x" ]
proofwiki-17998
Primitive of Power of x by Inverse Hyperbolic Secant of x over a/Corollary
:$\ds \int x^m \paren {-\sech^{-1} \frac x a} \rd x = \dfrac {x^{m + 1} } {m + 1} \paren {-\sech^{-1} \frac x a} - \dfrac a {m + 1} \int \dfrac {x^m} {\sqrt {a^2 - x^2} } \rd x + C$ where $-\sech^{-1}$ denotes the negative branch of the real inverse hyperbolic secant multifunction.
{{begin-eqn}} {{eqn | l = -\sech^{-1} \frac x a | r = -\arsech \frac x a | c = {{Defof|Real Inverse Hyperbolic Secant}} }} {{eqn | ll= \leadsto | l = \int x^m \paren {-\sech^{-1} \frac x a} \rd x | r = -\int x^m \arsech \frac x a \rd x | c = }} {{eqn | r = -\paren {\dfrac {x^{m + 1} } {m ...
:$\ds \int x^m \paren {-\sech^{-1} \frac x a} \rd x = \dfrac {x^{m + 1} } {m + 1} \paren {-\sech^{-1} \frac x a} - \dfrac a {m + 1} \int \dfrac {x^m} {\sqrt {a^2 - x^2} } \rd x + C$ where $-\sech^{-1}$ denotes the [[Definition:Negative Real Number|negative]] [[Definition:Branch of Multifunction|branch]] of the [[Defin...
{{begin-eqn}} {{eqn | l = -\sech^{-1} \frac x a | r = -\arsech \frac x a | c = {{Defof|Real Inverse Hyperbolic Secant}} }} {{eqn | ll= \leadsto | l = \int x^m \paren {-\sech^{-1} \frac x a} \rd x | r = -\int x^m \arsech \frac x a \rd x | c = }} {{eqn | r = -\paren {\dfrac {x^{m + 1} } {m ...
Primitive of Power of x by Inverse Hyperbolic Secant of x over a/Corollary
https://proofwiki.org/wiki/Primitive_of_Power_of_x_by_Inverse_Hyperbolic_Secant_of_x_over_a/Corollary
https://proofwiki.org/wiki/Primitive_of_Power_of_x_by_Inverse_Hyperbolic_Secant_of_x_over_a/Corollary
[ "Primitive of Power of x by Inverse Hyperbolic Secant of x over a" ]
[ "Definition:Negative/Real Number", "Definition:Multifunction/Branch", "Definition:Inverse Hyperbolic Secant/Real", "Definition:Left-Total Relation/Multifunction" ]
[ "Primitive of Power of x by Inverse Hyperbolic Secant of x over a" ]
proofwiki-17999
Normed Vector Space of Bounded Sequences is not Separable
Let $\struct {\ell^\infty, \norm {\, \cdot \,}_\infty}$ be the normed vector space of bounded sequences. $\struct {\ell^\infty, \norm {\, \cdot \,}_\infty}$ is not separable.
{{AimForCont}} $\struct {\ell^\infty, \norm {\, \cdot \,}_\infty}$ is separable. Let $\mathbf x := \sequence {x_i}_{i \mathop \in \N}$, $\mathbf a := \sequence {a_i}_{i \mathop \in \N}$, $\mathbf b := \sequence {b_i}_{i \mathop \in \N}$ be sequences. Let $D := \set {\mathbf x_i \in \R^\N : i \in \N}$ be a dense countab...
Let $\struct {\ell^\infty, \norm {\, \cdot \,}_\infty}$ be the [[Space of Bounded Sequences with Supremum Norm forms Normed Vector Space|normed vector space of bounded sequences]]. $\struct {\ell^\infty, \norm {\, \cdot \,}_\infty}$ is not [[Definition:Separable Normed Vector Space|separable]].
{{AimForCont}} $\struct {\ell^\infty, \norm {\, \cdot \,}_\infty}$ is [[Definition:Separable Normed Vector Space|separable]]. Let $\mathbf x := \sequence {x_i}_{i \mathop \in \N}$, $\mathbf a := \sequence {a_i}_{i \mathop \in \N}$, $\mathbf b := \sequence {b_i}_{i \mathop \in \N}$ be [[Definition:Sequence|sequences]]....
Normed Vector Space of Bounded Sequences is not Separable
https://proofwiki.org/wiki/Normed_Vector_Space_of_Bounded_Sequences_is_not_Separable
https://proofwiki.org/wiki/Normed_Vector_Space_of_Bounded_Sequences_is_not_Separable
[ "Separable Spaces" ]
[ "Space of Bounded Sequences with Supremum Norm forms Normed Vector Space", "Definition:Separable Space/Normed Vector Space" ]
[ "Definition:Separable Space/Normed Vector Space", "Definition:Sequence", "Definition:Everywhere Dense/Normed Vector Space", "Definition:Countable Set", "Definition:Subset", "Definition:Set", "Definition:Sequence", "Definition:Term of Sequence", "Definition:Distinct/Plural", "Definition:Element", ...