1 (* Title: HOL/Hahn_Banach/Normed_Space.thy
2 Author: Gertrud Bauer, TU Munich
5 header {* Normed vector spaces *}
11 subsection {* Quasinorms *}
14 A \emph{seminorm} @{text "\<parallel>\<cdot>\<parallel>"} is a function on a real vector space
15 into the reals that has the following properties: it is positive
16 definite, absolute homogenous and subadditive.
20 fixes norm :: "'a \<Rightarrow> real" ("\<parallel>_\<parallel>")
22 locale seminorm = var_V + norm_syntax +
23 constrains V :: "'a\<Colon>{minus, plus, zero, uminus} set"
24 assumes ge_zero [iff?]: "x \<in> V \<Longrightarrow> 0 \<le> \<parallel>x\<parallel>"
25 and abs_homogenous [iff?]: "x \<in> V \<Longrightarrow> \<parallel>a \<cdot> x\<parallel> = \<bar>a\<bar> * \<parallel>x\<parallel>"
26 and subadditive [iff?]: "x \<in> V \<Longrightarrow> y \<in> V \<Longrightarrow> \<parallel>x + y\<parallel> \<le> \<parallel>x\<parallel> + \<parallel>y\<parallel>"
28 declare seminorm.intro [intro?]
30 lemma (in seminorm) diff_subadditive:
31 assumes "vectorspace V"
32 shows "x \<in> V \<Longrightarrow> y \<in> V \<Longrightarrow> \<parallel>x - y\<parallel> \<le> \<parallel>x\<parallel> + \<parallel>y\<parallel>"
34 interpret vectorspace V by fact
35 assume x: "x \<in> V" and y: "y \<in> V"
36 then have "x - y = x + - 1 \<cdot> y"
37 by (simp add: diff_eq2 negate_eq2a)
38 also from x y have "\<parallel>\<dots>\<parallel> \<le> \<parallel>x\<parallel> + \<parallel>- 1 \<cdot> y\<parallel>"
39 by (simp add: subadditive)
40 also from y have "\<parallel>- 1 \<cdot> y\<parallel> = \<bar>- 1\<bar> * \<parallel>y\<parallel>"
41 by (rule abs_homogenous)
42 also have "\<dots> = \<parallel>y\<parallel>" by simp
43 finally show ?thesis .
46 lemma (in seminorm) minus:
47 assumes "vectorspace V"
48 shows "x \<in> V \<Longrightarrow> \<parallel>- x\<parallel> = \<parallel>x\<parallel>"
50 interpret vectorspace V by fact
52 then have "- x = - 1 \<cdot> x" by (simp only: negate_eq1)
53 also from x have "\<parallel>\<dots>\<parallel> = \<bar>- 1\<bar> * \<parallel>x\<parallel>"
54 by (rule abs_homogenous)
55 also have "\<dots> = \<parallel>x\<parallel>" by simp
56 finally show ?thesis .
60 subsection {* Norms *}
63 A \emph{norm} @{text "\<parallel>\<cdot>\<parallel>"} is a seminorm that maps only the
64 @{text 0} vector to @{text 0}.
67 locale norm = seminorm +
68 assumes zero_iff [iff]: "x \<in> V \<Longrightarrow> (\<parallel>x\<parallel> = 0) = (x = 0)"
71 subsection {* Normed vector spaces *}
74 A vector space together with a norm is called a \emph{normed
78 locale normed_vectorspace = vectorspace + norm
80 declare normed_vectorspace.intro [intro?]
82 lemma (in normed_vectorspace) gt_zero [intro?]:
83 "x \<in> V \<Longrightarrow> x \<noteq> 0 \<Longrightarrow> 0 < \<parallel>x\<parallel>"
85 assume x: "x \<in> V" and neq: "x \<noteq> 0"
86 from x have "0 \<le> \<parallel>x\<parallel>" ..
87 also have [symmetric]: "\<dots> \<noteq> 0"
89 assume "\<parallel>x\<parallel> = 0"
90 with x have "x = 0" by simp
91 with neq show False by contradiction
93 finally show ?thesis .
97 Any subspace of a normed vector space is again a normed vectorspace.
100 lemma subspace_normed_vs [intro?]:
102 assumes "subspace F E" "normed_vectorspace E norm"
103 shows "normed_vectorspace F norm"
105 interpret subspace F E by fact
106 interpret normed_vectorspace E norm by fact
109 show "vectorspace F" by (rule vectorspace) unfold_locales
111 have "Normed_Space.norm E norm" ..
112 with subset show "Normed_Space.norm F norm"
113 by (simp add: norm_def seminorm_def norm_axioms_def)