Bourbaki

§ 1. Semi-norms

Throughout this paragraph, K\mathbf{K} denotes a non-discrete valued division ring.

1. Definition of semi-norms

Definition 1

Let E be a left vector space over K\mathbf{K}. A mapping pp of E in R+={0,+∞}\mathbf{R}_+ = \{ 0, + \infty \}, is called a semi-norm on E if it satisfies the following axioms : (SN_I) If x∈Ex \in \mathrm{E} and λ∈K\lambda \in \mathbf{K} then p(λx)=∣λ∣ p(x)p(\lambda x) = |\lambda| \, p(x). (SN_II) If x∈Ex \in \mathrm{E} and y∈Ey \in \mathrm{E} then p(x+y)≤p(x)+p(y)p(x + y) \leq p(x) + p(y).

Since p(x)≤p(y)+p(x−y)p(x) \leq p(y) + p(x - y) and p(y)≤p(x)+p(y−x)p(y) \leq p(x) + p(y - x), from p(y−x)=p(x−y)p(y - x) = p(x - y), we deduce

∣p(x)−p(y)∣≤p(x−y). |p(x) - p(y)| \leq p(x - y) .

Example 1

A norm on E is a semi-norm pp such that the relation p(x)=0p(x) = 0 implies that x=0x = 0 (I, p. 3).

Example 2

For every linear form ff on E, the function x↦∣f(x)∣x \mapsto |f(x)| is a semi-norm on E.

Example 3

If pi(1≤i≤n)p_i (1 \leq i \leq n) is a finite set of semi-norms on E, then clearly p′(x)=sup⁡1≤i≤npi(x)p'(x) = \sup_{1 \leq i \leq n} p_i(x) and p′′(x)=∑i=1nαipi(x)p''(x) = \sum_{i=1}^n \alpha_i p_i(x) (where the αi\alpha_i are ≥0\geq 0) are both semi-norms on E.

A mapping pp of E in R+\mathbf{R}_+ is called an ultra-semi-norm if it satisfies (SNI_I) and the following axiom :

(SNII′_{II}') *If x∈Ex \in E and y∈Ey \in E, then p(x+y)≤sup⁡(p(x),p(y))p(x + y) \leq \sup(p(x), p(y)).

Clearly an ultra-semi-norm is a semi-norm.

To say that the absolute value on K is ultrametric (CA, VI, § 6.2) means that it is an ultra-semi-norm on the left vector space KsK_s, which is not identically zero.

Proposition 1

Let E be a left topological vector space over K and let p be a semi-norm on E. The following conditions are equivalent :* a) p is continuous in E. b) p is continuous at the point 0. c) p is uniformly continuous. d) For each real number α>0\alpha > 0, the set W(p, α\alpha), of those x∈Ex \in E for which p(x)<αp(x) < \alpha, is open in E. e) There exists a real number α>0\alpha > 0, such that W(p, α\alpha) is a neighbourhood of 0 in E. f) *For every real number α>0\alpha > 0, the set V(p, α\alpha), of those x∈Ex \in E for which p(x)≤αp(x) \leq \alpha, is a neighbourhood of 0 in E.

In fact, the implications c) ⇒\Rightarrow a) ⇒\Rightarrow b) ⇒\Rightarrow d) ⇒\Rightarrow e) ⇒\Rightarrow f) ⇒\Rightarrow c) follow immediately from (SNI_I) and inequality (1).

Corollary

If p is a continuous semi-norm on E and q is a semi-norm such that q≤pq \leq p, then q is continuous in E.

When p is an ultra-semi-norm on E, then the sets W(p, α\alpha) and V(p, α\alpha) are both open and closed. For, we have seen that W(p, α\alpha) is open; on the other hand if z is a cluster point of W(p, α\alpha), then there exists y∈W(p,α)y \in W(p, \alpha) such that p(y−z)<αp(y - z) < \alpha, and from (SNII′_{II}') we have p(z)<αp(z) < \alpha, thus W(p, α\alpha) is closed. Also, V(p, α\alpha) is closed since p is continuous; further if p(x)≤αp(x) \leq \alpha and p(y)≤αp(y) \leq \alpha, then p(x+y)≤αp(x + y) \leq \alpha by (SNII′_{II}'), and this shows that V(p, α\alpha) is open.

2. Topologies defined by semi-norms

Let p be a semi-norm on the vector space E over K; for every α>0\alpha > 0 let V(p, α\alpha) be the subset of those x of E for which p(x)≤αp(x) \leq \alpha. Clearly, if x∈V(p,α)x \in V(p, \alpha) and λ∈K\lambda \in K is such that ∣λ∣≤1|\lambda| \leq 1, then λx∈V(p,α)\lambda x \in V(p, \alpha), in other words V(p, α\alpha) is balanced. Further, for every x0∈Ex_0 \in E, there exists a non-zero scalar μ∈K\mu \in K such that ∣μ∣≥p(x0)α−1|\mu| \geq p(x_0) \alpha^{-1}, therefore μ−1x0∈V(p,α)\mu^{-1} x_0 \in V(p, \alpha) that is to say V(p, α\alpha) is absorbent. Finally, from (SNII_{II}), we have V(p,α/2)+V(p,α/2)⊂V(p,α)V(p, \alpha/2) + V(p, \alpha/2) \subset V(p, \alpha), and from (SNI_I) that for every non-zero scalar λ\lambda in K we have λV(p,α)=V(p,∣λ∣α)\lambda V(p, \alpha) = V(p, |\lambda| \alpha). We conclude from these remarks, by I, p. 7, prop. 4, that, when α\alpha varies in the set of numbers >0> 0 (or only in a sequence of strictly positive numbers tending to 0) then the sets V(p, α\alpha) constitute a fundamental system of neighbourhoods of 0 for a topology compatible with the vector space structure of E; we say that this topology is defined by the semi-norm p. A vector space E with such a topology is called a semi-normed space. Note that if W(p, α\alpha) is the subset of x of E such that p(x)<αp(x) < \alpha, then the W(p, α\alpha) constitute (where α>0\alpha > 0, or α\alpha varies in a strictly positive sequence of numbers tending to zero) a fundamental system of neighbourhoods of 0 for the topology defined by pp.

If Γ\Gamma is a set of semi-norms on EE, then the upper bound of the topologies defined by the semi-norms p∈Γp \in \Gamma is compatible with the vector space structure (I, p. 10, cor. 4). A fundamental system of neighbourhoods of 0, for this topology, is given by the finite intersections ⋂iV(pi,αi)\bigcap_i V(p_i, \alpha_i) where pi∈Γp_i \in \Gamma and αi>0\alpha_i > 0. This topology is said to be defined by the set of semi-norms Γ\Gamma. It is the coarsest topology on EE amongst those that are invariant under all translations and for which the semi-norms p∈Γp \in \Gamma are continuous.

Let EE be a topological vector space over KK: a system of semi-norms on EE, say Γ\Gamma, is called a fundamental system of semi-norms if the topology on EE is the same as the topology defined by Γ\Gamma.

Let EE be a vector space over KK, with the topology defined by a set of semi-norms Γ\Gamma. For every semi-norm pp, we have p(x−z)≤p(x−y)+p(y−z)p(x - z) \leq p(x - y) + p(y - z), which shows that the function (x,y)↦p(x−y)(x, y) \mapsto p(x - y) is a pseudometric on EE (GT, IX, § 1.1): it follows from the definitions that, when pp varies in Γ\Gamma, the set of these pseudometrics defines the uniform structure of the topological vector space EE.

Remark

— 1) The topology defined by a finite set of semi-norms pip_i (1≤i≤n1 \leq i \leq n) on EE, can be defined by the single semi-norm p=sup⁡1≤i≤npip = \sup_{1 \leq i \leq n} p_i. But a topology defined by an infinite set of semi-norms cannot, in general, be defined by a single semi-norm (III, p. 37, exerc. 2).

2) Let (Ti)i∈I(\mathscr{T}_i)_{i \in I} be a family of topologies on a vector space EE over KK, each of which is defined by a family of semi-norms Γi\Gamma_i. Then the topology defined by the set of semi-norms Γ=⋃i∈IΓi\Gamma = \bigcup_{i \in I} \Gamma_i is the upper bound of the topologies Ti\mathscr{T}_i.

3) If Γ0\Gamma_0 is a set of semi-norms directed by the increasing order relation defined between two semi-norms p,qp, q on EE by « there exists λ>0\lambda > 0 such that p≤λqp \leq \lambda q », then a fundamental system of neighbourhoods of 0, for the topology defined by Γ0\Gamma_0, is obtained by taking the sets V(p,α)V(p, \alpha) where p∈Γ0p \in \Gamma_0 and α>0\alpha > 0. If Γ\Gamma is any set of semi-norms on EE, then a filtered set of semi-norms, defining the same topology as Γ\Gamma, is the set Γ0\Gamma_0 of upper envelopes of all finite families of semi-norms belonging to Γ\Gamma.

4) Even if K=RK = \mathbf{R}, the topology of a topological vector space over KK cannot always be defined by a set of semi-norms (cf. II, p. 24, corollary).

Example

— Let C∞(R)\mathscr{C}^\infty(\mathbf{R}) be the vector space over R\mathbf{R} of real valued functions that are infinitely differentiable in R\mathbf{R}. For every function and every pair of integers n≥0n \geq 0, m≥1m \geq 1, put

pn,m(f)=sup⁡−m≤t≤m∣f(n)(t)∣ p_{n,m}(f) = \sup_{-m \leq t \leq m} |f^{(n)}(t)|

with f(0)=ff^{(0)} = f. Obviously the pn,mp_{n,m} are semi-norms on C∞(R)\mathscr{C}^\infty(\mathbf{R}). In order that the functions fαf_\alpha tend to 0 (following a filter F\mathfrak{F} on the set of indices) in C∞(R)\mathscr{C}^\infty(\mathbf{R}) for the topology T\mathscr{T} defined by the semi-norms pn,mp_{n,m}, it is necessary and sufficient that for all integers n≥0n \geq 0, the functions fα(n)f_\alpha^{(n)} tend to 0 (following F\mathfrak{F}) uniformly on every compact subset of R\mathbf{R}. We say that T\mathscr{T} is the topology of compact convergence for the functions f∈C∞(R)f \in \mathscr{C}^\infty(\mathbf{R}) and all their derivatives (cf. III, p. 9).

Proposition 2

On a vector space* EE, let T\mathscr{T} be the topology defined by a set of semi-norms Γ\Gamma.

(i) *The closure of {0} in E, for T\mathscr{T}, is the subset of x∈Ex \in E for which p(x)=0p(x) = 0 for every semi-norm p∈Γp \in \Gamma.

(ii) If T\mathscr{T} is Hausdorff and Γ\Gamma is enumerable, then T\mathscr{T} is metrisable.

The proposition follows immediately from the definitions and from GT, IX, § 2 . 4, cor. 1.

Note that if T\mathscr{T} is metrisable, it may be that T\mathscr{T} cannot be defined by a single norm; this is the case in the example given above (cf. IV, p. 18, Example 4).

Let E be a vector space over K, with the topology defined by a set of semi-norms Γ\Gamma. Let E^\hat{E} be the Hausdorff completion of E (I, p. 6), and Γ^\hat{\Gamma} be the set of mappings p^\hat{p} of E^\hat{E} in R+\mathbf{R}_+ where pp varies in Γ\Gamma (GT, II, § 3 . 7, prop. 15). By the principle of extending inequalities, the functions p^∈Γ^\hat{p} \in \hat{\Gamma} are semi-norms on E^\hat{E}, and the functions p^(x−y)\hat{p}(x - y) form a set of pseudometrics defining the uniform structure of E^\hat{E} (GT, IX, § 1 . 3, prop. 1). We see, therefore, that Γ^\hat{\Gamma} is a fundamental set of semi-norms defining the topology of E^\hat{E}.

3. Semi-norms in quotient spaces and in product spaces

Let E be a topological vector space over K, whose topology is defined by Γ\Gamma, a set of semi-norms. Clearly, the restrictions of the semi-norms of Γ\Gamma to a vector sub-space M of E, define the topology induced on M by that of E.

Let ϕ\phi be the canonical mapping of E on the vector quotient space E/M. We show that, for every semi-norm pp on E, the function

p˙(z)=inf⁡ϕ(x)=zp(x) \dot{p}(z) = \inf_{\phi(x) = z} p(x)

is a semi-norm on E/M. In fact, it is clear that p˙\dot{p} satisfies the condition (SN1_1); on the other hand, if z′,z′′z', z'' are two vectors of E/M, we have:

inf⁡ϕ(x)=z′+z′′p(x)≤inf⁡ϕ(x′)=z′,ϕ(x′′)=z′′p(x′+x′′)≤inf⁡ϕ(x′)=z′,ϕ(x′′)=z′′(p(x′)+p(x′′))=inf⁡ϕ(x′)=z′p(x′)+inf⁡ϕ(x′′)=z′′p(x′′) \begin{align*} \inf_{\phi(x) = z' + z''} p(x) &\leq \inf_{\phi(x') = z', \phi(x'') = z''} p(x' + x'') \\ &\leq \inf_{\phi(x') = z', \phi(x'') = z''} (p(x') + p(x'')) \\ &= \inf_{\phi(x') = z'} p(x') + \inf_{\phi(x'') = z''} p(x'') \end{align*}

which shows that p˙\dot{p} verifies (SN2_2). We say that p˙\dot{p} is the quotient semi-norm of pp by M.

The same reasoning proves that, if pp is an ultra-semi-norm, then so also is p˙\dot{p}.

This being so, we have (in the notation of No. 2)

ϕ(W(p,α))=W(p˙,α) \phi(\mathrm{W}(p, \alpha)) = \mathrm{W}(\dot{p}, \alpha)

for every α>0\alpha > 0. In fact, to say that p˙(z)<α\dot{p}(z) < \alpha, means that there exists x∈Ex \in E such that ϕ(x)=z\phi(x) = z and p(x)<αp(x) < \alpha, from which the relation (4) follows.

We deduce from this, that, if the set of semi-norms Γ\Gamma is directed (II, p. 3, Remark 3), then the quotient topology on E/ME/M is defined by the set of semi-norms p˙\dot{p}, when pp varies in Γ\Gamma.

If NN is the closure of {0}\{0\} in EE, the topology of E/NE/N is defined by the quotient semi-norms p˙\dot{p}, where pp varies in Γ\Gamma (even if Γ\Gamma is not filtered): here p˙(x˙)=p(x)\dot{p}(\dot{x}) = p(x) for every xx belonging to the class x˙mod  N\dot{x} \mod N. Note that E/NE/N is none other than the Hausdorff space associated with EE (I, p. 4).

Let EE be a vector space over KK and (Ei)i∈I(E_i)_{i \in I} be a family of vector spaces over KK, where EiE_i has the topology Ti\mathscr{T}_i defined by a set of semi-norms Γi\Gamma_i. For each i∈Ii \in I, let fif_i be a linear mapping of EE in EiE_i; clearly when pip_i varies in the set Γi\Gamma_i, then the pi∘fip_i \circ f_i form a set Γi′\Gamma'_i of semi-norms on EE. The topology T\mathscr{T} on EE, defined as being the coarsest of all those which make all the mappings fif_i continuous (I, p. 9) is then defined by the set of semi-norms Γ′=⋃i∈IΓi′\Gamma' = \bigcup_{i \in I} \Gamma'_i, this follows from the definition of neighbourhoods of 0 for T\mathscr{T} (GT, I, § 2.3, prop. 4).

If the pip_i are ultra-semi-norms, then so are the pi∘fip_i \circ f_i.

Let EE be a vector space over KK, with the topology T\mathscr{T} defined by a family of semi-norms (pi)i∈I(p_i)_{i \in I}; for every i∈Ii \in I, let Ti\mathscr{T}_i be the topology defined by the single semi-norm pip_i, and denote by EiE_i the space obtained from EE using the topology Ti\mathscr{T}_i. Then the topology T\mathscr{T} is the inverse image by the diagonal mapping Δ:E→∏i∈IEi\Delta : E \to \prod_{i \in I} E_i of the product topology on ∏i∈IEi\prod_{i \in I} E_i (I, p. 9, prop. 7). For each i∈Ii \in I, write NiN_i for the closure of {0}\{0\} in EiE_i, and by Fi=Ei/NiF_i = E_i / N_i, the normed space defined by the norm pip_i corresponding to pip_i (II, p. 4, formula (3)); if ϕi:Ei→Fi\phi_i : E_i \to F_i is the canonical mapping and ϕ:(xi)↦(ϕi(xi))\phi : (x_i) \mapsto (\phi_i(x_i)) the product mapping, we know that the product topology on ∏i∈IEi\prod_{i \in I} E_i is the inverse image by ϕ\phi of the product topology on ∏i∈IFi\prod_{i \in I} F_i (GT, II, § 3.9, prop. 18). The topology T\mathscr{T} is, therefore, the inverse image under the composite mapping ϕ∘Δ\phi \circ \Delta of the product topology on ∏i∈IFi\prod_{i \in I} F_i. In particular, if T\mathscr{T} is Hausdorff then it follows from II, p. 3, prop. 2 that the mapping ϕ∘Δ\phi \circ \Delta is injective, therefore:

Proposition 3

Every Hausdorff topological vector space* EE over KK, whose topology is defined by a set of semi-norms, is isomorphic to a sub-space of a product of Banach spaces.

If, further, the topology of EE is defined by an enumerable set of semi-norms, then EE is metrisable (I, p. 16).

4. Equicontinuity criteria of multilinear mappings for topologies defined by semi-norms

Proposition 4

Let* EiE_i (1≤i≤n1 \leq i \leq n) and FF be topological vector spaces over KK; we suppose that, for every ii, the topology of EiE_i is defined by a directed set of semi-norms Γi\Gamma_i, and that the topology of FF is defined by a set of semi-norms Γ\Gamma. Then a set HH, of multilinear mappings of ∏i=1nEi\prod_{i=1}^n E_i in F is equicontinuous if, and only if, for each semi-norm q∈Γq \in \Gamma, and each index i, there exists a semi-norm pi∈Γip_i \in \Gamma_i, and a number a>0a > 0, such that for each function u∈Hu \in \mathbf{H} and point (xi)∈∏i=1nEi(x_i) \in \prod_{i=1}^n E_i,

q(u(x1,x2,...,xn))≤a⋅p1(x1) p2(x2)...pn(xn). q(u(x_1, x_2, ..., x_n)) \leq a \cdot p_1(x_1)\ p_2(x_2) ... p_n(x_n) .

The condition is sufficient since it implies that H is equicontinuous at (0, 0, ..., 0) and therefore everywhere (I, p. 9, prop. 6).

We show that the condition is necessary. By hypothesis, for every semi-norm q∈Γq \in \Gamma and every number β>0\beta > 0, we have q(u(x1,x2,...,xn))≤βq(u(x_1, x_2, ..., x_n)) \leq \beta for every function u∈Hu \in \mathbf{H} provided that pi(xi)≤αip_i(x_i) \leq \alpha_i are true for each index ii, 1≤i≤n1 \leq i \leq n, and certain appropriately chosen numbers αi>0\alpha_i > 0 and semi-norms pi∈Γip_i \in \Gamma_i. As K is non-discrete, we can also suppose that, for every ii, we have αi=∣λi∣<1\alpha_i = |\lambda_i| < 1 where λi∈K\lambda_i \in \mathbf{K}. Then let (x1,x2,...,xn)(x_1, x_2, ..., x_n) be any point of ∏i=1nEi\prod_{i=1}^n E_i, and for each index ii, let mi∈Zm_i \in \mathbf{Z} be an integer such that pi(xi)≤∣λi∣mi+1p_i(x_i) \leq |\lambda_i|^{m_i + 1}; this can be written as pi(λi−mixi)≤∣λi∣p_i(\lambda_i^{-m_i} x_i) \leq |\lambda_i| (1≤i≤n1 \leq i \leq n), therefore, by hypothesis, we have

q(u(x1,x2,...,xn))≤β∣λ1∣m1∣λ2∣m2...∣λn∣mn. q(u(x_1, x_2, ..., x_n)) \leq \beta |\lambda_1|^{m_1} |\lambda_2|^{m_2} ... |\lambda_n|^{m_n} .

Suppose firstly that one of the pi(xi)p_i(x_i) is zero, then we can take mi∈Nm_i \in \mathbf{N} arbitrarily large, therefore q(u(x1,x2,...,xn))=0q(u(x_1, x_2, ..., x_n)) = 0. If, on the contrary, all the pi(xi)p_i(x_i) are ≠0\neq 0, take the integer mim_i such that ∣λi∣mi+2<pi(xi)≤∣λi∣mi+1|\lambda_i|^{m_i + 2} < p_i(x_i) \leq |\lambda_i|^{m_i + 1} for each ii; then we have ∣λi∣mi<∣λi∣−2pi(xi)|\lambda_i|^{m_i} < |\lambda_i|^{-2} p_i(x_i), from which, by (6), the relation (5) follows with

a=β(∣λ1∣⋅∣λ2∣...∣λn∣)−2. a = \beta (|\lambda_1| \cdot |\lambda_2| ... |\lambda_n|)^{-2} .

Q.E.D.

Corollary

— *The set H is equicontinuous if, and only if, for every semi-norm q∈Γq \in \Gamma, there exists a neighbourhood of 0 in ∏i=1nEi\prod_{i=1}^n E_i, in which the functions q∘uq \circ u, for u∈Hu \in \mathbf{H}, are uniformly bounded.

The condition is evidently necessary, and the demonstration of prop. 4 shows that it implies an inequality of the form (5) for all u∈Hu \in \mathbf{H}, and therefore the equicontinuity of H.

We state explicitly the particular case of prop. 4 for linear mappings.

Proposition 5

— Let E, F be two topological vector spaces over a non-discrete valued division ring K; suppose that the topology of E (resp. F) is defined by a set of semi-norms Γ\Gamma (resp. Γ′\Gamma'). Let H be a set of linear mappings of E in F. The following conditions are equivalent : a) H is equicontinuous.

b) For every semi-norm q∈Γ′q \in \Gamma', there exists a finite family (pi)1≤i≤n(p_i)_{1 \leq i \leq n} of semi-norms belonging to Γ\Gamma and a number a>0a > 0 such that, for all x∈Ex \in E and all u∈Hu \in H,

q(u(x))≤a⋅sup⁡1≤i≤npi(x). q(u(x)) \leq a \cdot \sup_{1 \leq i \leq n} p_i(x) .

c) For every semi-norm q∈Γ′q \in \Gamma', the mapping sup⁡u∈H(q∘u)\sup_{u \in H} (q \circ u) is a continuous semi-norm on EE.

Corollary 1

— Suppose that T,T′\mathscr{T}, \mathscr{T}' are two topologies on a vector space EE over KK defined, respectively, by two sets of semi-norms Γ\Gamma and Γ′\Gamma'. T\mathscr{T} is finer than T′\mathscr{T}' if, and only if, for every semi-norm q∈Γ′q \in \Gamma', there exists a finite family (pi)1≤i≤n(p_i)_{1 \leq i \leq n} of semi-norms belonging to Γ\Gamma and a number a>0a > 0 such that, for all x∈Ex \in E, we have q(x)≤a⋅sup⁡1≤i≤npi(x)q(x) \leq a \cdot \sup_{1 \leq i \leq n} p_i(x).

In fact this shows that the identity mapping of EE with topology T\mathscr{T}, on EE with topology T′\mathscr{T}', is continuous.

Corollary 2

— Suppose that the topology T\mathscr{T} of a topological vector space EE over KK is defined by a directed set of semi-norms Γ\Gamma; for each semi-norm p∈Γp \in \Gamma, let EpE_p be the space obtained from EE using the topology defined by pp. The set E′E' of linear forms on EE that are continuous for T\mathscr{T} is the union of the sets Ep′E'_p, where Ep′E'_p is the set of continuous linear forms in EpE_p (p∈Γp \in \Gamma).

Transcribed from the printed volume. Not translated.