lemma (in euclidean_space) norm_Basis[simp]: "u \<in> Basis \<Longrightarrow> norm u = 1" unfolding norm_eq_sqrt_inner by (simp add: inner_Basis)
lemma (in euclidean_space) inner_same_Basis[simp]: "u \<in> Basis \<Longrightarrow> inner u u = 1" by (simp add: inner_Basis)
lemma (in euclidean_space) inner_not_same_Basis: "u \<in> Basis \<Longrightarrow> v \<in> Basis \<Longrightarrow> u \<noteq> v \<Longrightarrow> inner u v = 0" by (simp add: inner_Basis)
lemma (in euclidean_space) sgn_Basis: "u \<in> Basis \<Longrightarrow> sgn u = u" unfolding sgn_div_norm by (simp add: scaleR_one)
lemma inner_sum_Basis[simp]: "i \<in> Basis \<Longrightarrow> inner (\<Sum>Basis) i = 1" by (simp add: inner_sum_left sum.If_cases inner_Basis)
lemma (in euclidean_space) Basis_zero [simp]: "0 \<notin> Basis" using local.inner_same_Basis by fastforce
lemma (in euclidean_space) nonzero_Basis: "u \<in> Basis \<Longrightarrow> u \<noteq> 0" by clarsimp
lemma (in euclidean_space) SOME_Basis: "(SOME i. i \<in> Basis) \<in> Basis" by (metis ex_in_conv nonempty_Basis someI_ex)
lemma norm_some_Basis [simp]: "norm (SOME i. i \<in> Basis) = 1" by (simp add: SOME_Basis)
lemma (in euclidean_space) inner_sum_left_Basis[simp]: "b \<in> Basis \<Longrightarrow> inner (\<Sum>i\<in>Basis. f i *\<^sub>R i) b = f b" by (simp add: inner_sum_left inner_Basis if_distrib comm_monoid_add_class.sum.If_cases)
lemma (in euclidean_space) euclidean_eqI: assumes b: "\<And>b. b \<in> Basis \<Longrightarrow> inner x b = inner y b" shows "x = y" proof - from b have "\<forall>b\<in>Basis. inner (x - y) b = 0" by (simp add: inner_diff_left) then show "x = y" by (simp add: euclidean_all_zero_iff) qed
lemma (in euclidean_space) euclidean_eq_iff: "x = y \<longleftrightarrow> (\<forall>b\<in>Basis. inner x b = inner y b)" by (auto intro: euclidean_eqI)
lemma (in euclidean_space) euclidean_representation_sum: "(\<Sum>i\<in>Basis. f i *\<^sub>R i) = b \<longleftrightarrow> (\<forall>i\<in>Basis. f i = inner b i)" by (subst euclidean_eq_iff) simp
lemma (in euclidean_space) euclidean_representation_sum': "b = (\<Sum>i\<in>Basis. f i *\<^sub>R i) \<longleftrightarrow> (\<forall>i\<in>Basis. f i = inner b i)" by (auto simp add: euclidean_representation_sum[symmetric])
lemma (in euclidean_space) euclidean_representation: "(\<Sum>b\<in>Basis. inner x b *\<^sub>R b) = x" unfolding euclidean_representation_sum by simp
lemma (in euclidean_space) euclidean_inner: "inner x y = (\<Sum>b\<in>Basis. (inner x b) * (inner y b))" by (subst (1 2) euclidean_representation [symmetric]) (simp add: inner_sum_right inner_Basis ac_simps)
lemma (in euclidean_space) choice_Basis_iff: fixes P :: "'a \<Rightarrow> real \<Rightarrow> bool" shows "(\<forall>i\<in>Basis. \<exists>x. P i x) \<longleftrightarrow> (\<exists>x. \<forall>i\<in>Basis. P i (inner x i))" unfolding bchoice_iff proof safe fix f assume "\<forall>i\<in>Basis. P i (f i)" then show "\<exists>x. \<forall>i\<in>Basis. P i (inner x i)" by (auto intro!: exI[of _ "\<Sum>i\<in>Basis. f i *\<^sub>R i"]) qed auto
lemma (in euclidean_space) bchoice_Basis_iff: fixes P :: "'a \<Rightarrow> real \<Rightarrow> bool" shows "(\<forall>i\<in>Basis. \<exists>x\<in>A. P i x) \<longleftrightarrow> (\<exists>x. \<forall>i\<in>Basis. inner x i \<in> A \<and> P i (inner x i))" by (simp add: choice_Basis_iff Bex_def)
lemma (in euclidean_space) euclidean_representation_sum_fun: "(\<lambda>x. \<Sum>b\<in>Basis. inner (f x) b *\<^sub>R b) = f" by (force simp: euclidean_representation_sum)
lemma euclidean_isCont: assumes "\<And>b. b \<in> Basis \<Longrightarrow> isCont (\<lambda>x. (inner (f x) b) *\<^sub>R b) x" shows "isCont f x" proof - have "isCont (\<lambda>x. \<Sum>b\<in>Basis. inner (f x) b *\<^sub>R b) x" by (simp add: assms) then show ?thesis by (simp add: euclidean_representation) qed
lemma DIM_positive [simp]: "0 < DIM('a::euclidean_space)" by (simp add: card_gt_0_iff)
lemma sum_inner_Basis_scaleR [simp]: fixes f :: "'a::euclidean_space \<Rightarrow> 'b::real_vector" assumes "b \<in> Basis" shows "(\<Sum>i\<in>Basis. (inner i b) *\<^sub>R f i) = f b" by (simp add: comm_monoid_add_class.sum.remove [OF finite_Basis assms] assms inner_not_same_Basis comm_monoid_add_class.sum.neutral)
lemma sum_inner_Basis_eq [simp]: assumes "b \<in> Basis" shows "(\<Sum>i\<in>Basis. (inner i b) * f i) = f b" by (simp add: comm_monoid_add_class.sum.remove [OF finite_Basis assms] assms inner_not_same_Basis comm_monoid_add_class.sum.neutral)
lemma sum_if_inner [simp]: assumes "i \<in> Basis" "j \<in> Basis" shows "inner (\<Sum>k\<in>Basis. if k = i then f i *\<^sub>R i else g k *\<^sub>R k) j = (if j=i then f j else g j)" proof (cases "i=j") case True with assms show ?thesis by (auto simp: inner_sum_left if_distrib [of "\<lambda>x. inner x j"] inner_Basis cong: if_cong) next case False have "(\<Sum>k\<in>Basis. inner (if k = i then f i *\<^sub>R i else g k *\<^sub>R k) j) = (\<Sum>k\<in>Basis. if k = j then g k else 0)" using False assms by (intro sum.cong) (auto simp: inner_Basis) also have "\<dots> = g j" using assms by auto finally show ?thesis using False by (auto simp: inner_sum_left) qed
lemma norm_le_componentwise: "(\<And>b. b \<in> Basis \<Longrightarrow> abs(inner x b) \<le> abs(inner y b)) \<Longrightarrow> norm x \<le> norm y" by (auto simp: norm_le euclidean_inner [of x x] euclidean_inner [of y y] abs_le_square_iff power2_eq_square intro!: sum_mono)
lemma Basis_le_norm: "b \<in> Basis \<Longrightarrow> \<bar>inner x b\<bar> \<le> norm x" by (rule order_trans [OF Cauchy_Schwarz_ineq2]) simp
lemma norm_bound_Basis_le: "b \<in> Basis \<Longrightarrow> norm x \<le> e \<Longrightarrow> \<bar>inner x b\<bar> \<le> e" by (metis Basis_le_norm order_trans)
lemma norm_bound_Basis_lt: "b \<in> Basis \<Longrightarrow> norm x < e \<Longrightarrow> \<bar>inner x b\<bar> < e" by (metis Basis_le_norm le_less_trans)
lemma norm_le_l1: "norm x \<le> (\<Sum>b\<in>Basis. \<bar>inner x b\<bar>)" by (metis (no_types, lifting) order.refl euclidean_representation mult.right_neutral norm_Basis norm_scaleR sum_norm_le)
lemma sum_norm_allsubsets_bound: fixes f :: "'a \<Rightarrow> 'n::euclidean_space" assumes fP: "finite P" and fPs: "\<And>Q. Q \<subseteq> P \<Longrightarrow> norm (sum f Q) \<le> e" shows "(\<Sum>x\<in>P. norm (f x)) \<le> 2 * real DIM('n) * e" proof - have "(\<Sum>x\<in>P. norm (f x)) \<le> (\<Sum>x\<in>P. \<Sum>b\<in>Basis. \<bar>inner (f x) b\<bar>)" by (rule sum_mono) (rule norm_le_l1) also have "(\<Sum>x\<in>P. \<Sum>b\<in>Basis. \<bar>inner (f x) b\<bar>) = (\<Sum>b\<in>Basis. \<Sum>x\<in>P. \<bar>inner (f x) b\<bar>)" by (rule sum.swap) also have "\<dots> \<le> of_nat (card (Basis :: 'n set)) * (2 * e)" proof (rule sum_bounded_above) fix i :: 'n assume i: "i \<in> Basis" have "norm (\<Sum>x\<in>P. \<bar>inner (f x) i\<bar>) \<le> norm (inner (\<Sum>x\<in>P \<inter> - {x. inner (f x) i < 0}. f x) i) + norm (inner (\<Sum>x\<in>P \<inter> {x. inner (f x) i < 0}. f x) i)" by (simp add: abs_real_def sum.If_cases[OF fP] sum_negf norm_triangle_ineq4 inner_sum_left del: real_norm_def) also have "\<dots> \<le> e + e" unfolding real_norm_def by (intro add_mono norm_bound_Basis_le i fPs) auto finally show "(\<Sum>x\<in>P. \<bar>inner (f x) i\<bar>) \<le> 2*e" by simp qed also have "\<dots> = 2 * real DIM('n) * e" by simp finally show ?thesis . qed
instance euclidean_space \<subseteq> perfect_space proof fix x :: 'a show "\<not> open {x}" proof assume "open {x}" then obtain e where "0 < e" and e: "\<forall>y. dist y x < e \<longrightarrow> y = x" unfolding open_dist by fast define y where "y = x + scaleR (e/2) (SOME b. b \<in> Basis)" have [simp]: "(SOME b. b \<in> Basis) \<in> Basis" by (rule someI_ex) (auto simp: ex_in_conv) from \<open>0 < e\<close> have "y \<noteq> x" unfolding y_def by (auto intro!: nonzero_Basis) from \<open>0 < e\<close> have "dist y x < e" unfolding y_def by (simp add: dist_norm) from \<open>y \<noteq> x\<close> and \<open>dist y x < e\<close> show "False" using e by simp qed qed
instantiation prod :: (real_inner, real_inner) real_inner begin
definition inner_prod_def: "inner x y = inner (fst x) (fst y) + inner (snd x) (snd y)"
lemma inner_Pair [simp]: "inner (a, b) (c, d) = inner a c + inner b d" unfolding inner_prod_def by simp
instance proof fix r :: real fix x y z :: "'a::real_inner \<times> 'b::real_inner" show "inner x y = inner y x" unfolding inner_prod_def by (simp add: inner_commute) show "inner (x + y) z = inner x z + inner y z" unfolding inner_prod_def by (simp add: inner_add_left) show "inner (scaleR r x) y = r * inner x y" unfolding inner_prod_def by (simp add: distrib_left) show "0 \<le> inner x x" unfolding inner_prod_def by (intro add_nonneg_nonneg inner_ge_zero) show "inner x x = 0 \<longleftrightarrow> x = 0" unfolding inner_prod_def prod_eq_iff by (simp add: add_nonneg_eq_0_iff) show "norm x = sqrt (inner x x)" unfolding norm_prod_def inner_prod_def by (simp add: power2_norm_eq_inner) qed
end
lemma inner_Pair_0: "inner x (0, b) = inner (snd x) b" "inner x (a, 0) = inner (fst x) a" by (cases x, simp)+
instantiation prod :: (euclidean_space, euclidean_space) euclidean_space begin
lemma sum_Basis_prod_eq: fixes f::"('a*'b)\<Rightarrow>('a*'b)" shows "sum f Basis = sum (\<lambda>i. f (i, 0)) Basis + sum (\<lambda>i. f (0, i)) Basis" proof - have "inj_on (\<lambda>u. (u::'a, 0::'b)) Basis" "inj_on (\<lambda>u. (0::'a, u::'b)) Basis" by (auto intro!: inj_onI Pair_inject) thus ?thesis unfolding Basis_prod_def by (subst sum.union_disjoint) (auto simp: Basis_prod_def sum.reindex) qed
instance proof show "(Basis :: ('a \<times> 'b) set) \<noteq> {}" unfolding Basis_prod_def by simp next show "finite (Basis :: ('a \<times> 'b) set)" unfolding Basis_prod_def by simp next fix u v :: "'a \<times> 'b" assume "u \<in> Basis" and "v \<in> Basis" thus "inner u v = (if u = v then 1 else 0)" unfolding Basis_prod_def inner_prod_def by (auto simp add: inner_Basis split: if_split_asm) next fix x :: "'a \<times> 'b" show "(\<forall>u\<in>Basis. inner x u = 0) \<longleftrightarrow> x = 0" unfolding Basis_prod_def ball_Un ball_simps by (simp add: inner_prod_def prod_eq_iff euclidean_all_zero_iff) qed
lemma finite_dimensional_vector_space_euclidean: "finite_dimensional_vector_space (*\<^sub>R) Basis" proof unfold_locales show "finite (Basis::'a set)" by (metis finite_Basis) have "\<And>a::'a. \<And>u. \<lbrakk>a \<in> Basis; a = (\<Sum>v\<in>Basis - {a}. u v *\<^sub>R v)\<rbrakk> \<Longrightarrow> False" apply (drule_tac f="inner a" in arg_cong) apply (simp add: inner_Basis inner_sum_right eq_commute) done then show "real_vector.independent (Basis::'a set)" unfolding dependent_def dependent_raw_def[symmetric] by (subst span_finite) auto show "module.span (*\<^sub>R) Basis = UNIV" unfolding span_finite [OF finite_Basis] span_raw_def[symmetric] by (auto intro!: euclidean_representation[symmetric]) qed
interpretation eucl?: finite_dimensional_vector_space "scaleR :: real => 'a => 'a::euclidean_space" "Basis" rewrites "module.dependent (*\<^sub>R) = dependent" and "module.representation (*\<^sub>R) = representation" and "module.subspace (*\<^sub>R) = subspace" and "module.span (*\<^sub>R) = span" and "vector_space.extend_basis (*\<^sub>R) = extend_basis" and "vector_space.dim (*\<^sub>R) = dim" and "Vector_Spaces.linear (*\<^sub>R) (*\<^sub>R) = linear"
and "Vector_Spaces.linear (*) casehave"(\k\Basis. inner (if k = i then f i *\<^sub>R i else g k *\<^sub>R k) j) = and"dimension = DIM('a)" by (auto simp add: dependent_raw_def alsohave"\ = g j"
subspace_raw_def span_raw_def extend_basis_raw_defqed
real_scaleR_def[abs_def]
finite_dimensional_vector_space.dimension_def
intro!: finite_dimensional_vector_space.
finite_dimensional_vector_space_euclidean)
declare card_set
interpretation eucl?: finite_dimensional_vector_space_pair_1 "scaleR::real by (metis Basis_le_norm order_trans) "scaleR:lemma norm_bound_Basis_lt: "b \<in> Basis \<Longrightarrow> norm x < e \<Longrightarrow> \<bar>inner x b\<bar> < e" by unfold_locales
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