J Optim Theory Appl (2015) 164:123–137 DOI 10.1007/s10957-014-0582-y On Local Coincidence of a Convex Set and its Tangent Cone Kaiwen Meng · Vera Roshchina · Xiaoqi Yang Received: 21 August 2013 / Accepted: 3 May 2014 / Published online: 23 May 2014 © Springer Science+Business Media New York 2014 Abstract In this paper, we introduce the exact tangent approximation property for a convex set and provide its characterizations, including the nonzero extent of a convex set. We obtain necessary and sufficient conditions for the closedness of the positive hull of a convex set via a limit set defined by truncated upper level sets of the gauge function. We also apply the exact tangent approximation property to study the existence of a global error bound for a proper, lower semicontinuous and positively homogeneous function. Keywords Tangent approximation · Extent of a convex set · Positive hull · Error bounds · Support functions · Gauge functions · Positively homogeneous functions Mathematics Subject Classification (2000) 49J52 · 49J53 Communicated by Vaithilingam Jeyakumar. K. Meng (B) School of Economics and Management, Southwest Jiaotong University, Chengdu 610031, China e-mail: [email protected] V. Roshchina Collaborative Research Network, Federation University Australia, Ballarat, VIC, Australia e-mail: [email protected] X. Yang Department of Applied Mathematics, The Hong Kong Polytechnic University, Kowloon, Hong Kong, China e-mail: [email protected] 123 124 J Optim Theory Appl (2015) 164:123–137 1 Introduction Polyhedral sets possess several nice and important properties, which are fundamental at least in convex analysis and optimization. For instance, polyhedral sets admit exactness of tangent approximations [1, Exercise 6.47] in the sense that they can be locally identified with their tangent cones. In this paper, we will introduce and study such a property for general convex sets, and we say that a convex set admits exactness of tangent approximation (ETA, for short) at a given point iff it can be locally identified with its tangent cone at this point; see Definition 2.1 below. This paper aims at investigating the ETA property for a convex set and at building connections between the ETA property and other known properties of a convex set. We will show that the ETA property of a convex set implies the closedness of the positive hull of a closed and convex set containing the origin but in general not vice versa. We also apply the ETA property of a convex set to study the existence of a global error bound for a proper, lower semicontinuous and positively homogeneous function. In our study, the ETA property for a convex set is related to many existing properties of a convex set such as the ones described by the nonzero extent of a convex set [2], the global error bound property for the support function of a convex set and the relative continuity of the gauge function of a convex set. It is worth mentioning that our characterizations of the ETA property may find potential applications in optimization. For instance, simplex-like methods have been designed in [3] for solving linear semi-infinite programming problems with boundedly polyhedral feasible sets, which are convex sets having the ETA property as shown in Proposition 4.1. Another possible application of the ETA property (or equivalently the continuity property of the gauge functions as shown by Theorem 4.1) can be found in gauge optimization [4], which seeks the element of a convex set that is minimal with respect to a gauge function. This conceptually simple problem can be used to model many useful problems, including a special case of conic optimization, and problems arising in machine learning and signal processing. The duality and variational properties of gauge optimization problems have been recently studied in [5]. The outline of the paper is as follows. In Sect. 2, some notations and preliminary results are recalled, and the ETA property for a convex set is formally introduced. For a closed and convex set containing the origin, a characterization of the closedness of its positive hull is given in Sect. 3 by virtue of a limit set defined via the truncated upper level sets of its gauge function. In Sect. 4, various characterizations of the ETA property of a convex set are given. In particular, a counterexample is constructed to demonstrate that the ETA property is merely sufficient for a positive hull to be closed. For an inequality system defined by a proper, lower semicontinuous and positively homogeneous function to possess a global error bound, sharp necessary and sufficient conditions are given in Sect. 5. Some conclusions are made in Sect. 6. 2 Notations and Preliminaries We begin with recalling some notations and definitions, most of which are taken from the book [1]. Throughout the paper, the discussion is in IRn and we use IR := IR∪{±∞} 123 J Optim Theory Appl (2015) 164:123–137 125 to denote the extended real line, and IR++ := {t ∈ IR | t > 0} to denote the set of positive numbers. The Euclidean norm of a vector x is denoted by x, and the inner product of vectors x and y is denoted by x, y. We let B be the closed unit ball and S be the unit sphere. Let K ⊂ IRn . We denote by cl K , conv K , pos K := {0} ∪ {λx | x ∈ K , λ > 0}, and K ∗ := {v | v, x ≤ 0} the closure, the convex hull, the positive hull and the negative polar of K , respectively. The support function σ K : IRn → IR of K is defined by σ K (w) := sup v, w. v∈K The distance of x from K is defined by d(x, K ) := inf x − y. y∈K For a convex set C, the extent of C is defined in [2] by exte C := inf{x | x ∈ cl C, t x ∈ cl C ∀t > 1}, where the convention inf ∅ = +∞ is used. For a set A ⊂ IRn and one of its points x, we use T A (x) to denote the tangent cone to A at x, i.e. w ∈ T A (x) iff there exist some tk ↓ 0 and wk → w such that x + tk wk ∈ A for all k. Moreover, we denote by A (x) := T A (x)∗ the regular normal cone to A at x, and by N A (x) the normal cone to N A at x , i.e. v ∈ N A (x) iff there are sequences xk → x with xk ∈ A, and vk → v with A (xk ). We say that A is regular at x iff A is locally closed at x (i.e. A ∩ V is vk ∈ N A (x). Note that a convex closed for some closed neighbourhood of x) and N A (x) = N set C is regular at x ∈ C as long as C is locally closed at x̄. A function h : IRn → IR is positively homogeneous iff h(0) < +∞ and h(λx) = λh(x) for all x and all λ > 0. It is sublinear iff in addition h(x + x ) ≤ h(x) + h(x ) ∀x, x ∈ IRn . For a closed and convex set C with 0 ∈ C, the gauge of C is the function γC : IRn → IR defined by γC (x) := inf{λ ≥ 0 | x ∈ λC}, where the convention inf ∅ = +∞ is used. According to [1, Example 3.50], γC is a non-negative, lower semicontinuous and sublinear function with level sets τ C = {x | γC (x) ≤ τ } ∀τ > 0, (1) pos C = {x | γC (x) < +∞}. (2) and 123 126 J Optim Theory Appl (2015) 164:123–137 Let f : IRn → IR be a function with f (x̄) finite. We denote by dom f := {x | f (x) < +∞} the domain of f , by ker f := {x | f (x) = 0} the kernel of f , by epi f := {(x, α) | f (x) ≤ α} the epigraph of f , by lev≥α f := {x ∈ IRn | f (x) ≥ α} the upper level set of f at the level α ∈ IR, by lim inf f (x) the lower limit of f at x̄, x→x̄ and by cl (conv f ) the closure of the convex hull of f , i.e. cl (conv f ) is a function, whose epigraph is the closure of the convex hull of epi f . We say that f is proper iff f (x) < +∞ for at least one x ∈ IRn , and f (x) > −∞ for all x ∈ IRn , and that f is lower semicontinuous iff lim inf f (x) = f (x̄) ∀x̄ ∈ IRn . x→x̄ It is well known that f is lower semicontinuous if and only if epi f is closed. We say that f is (subdifferentially) regular at x iff f (x) is finite, and epi f is regular at (x, f (x) as a subset of IRn × IR. The vector v ∈ IRn is a regular subgradient of f at x̄, written v ∈ ∂ f (x̄), iff, f (x) ≥ f (x̄) + v, x − x̄ + o(x − x̄), where o(x − x̄) is a term with the property that o(x − x̄)/x − x̄ → 0 when x → x̄ with x = x̄. For any w ∈ IRn , the subderivative of f at x̄ for w is defined by d f (x̄)(w) := lim inf τ →0+, w →w f (x̄ + τ w ) − f (x̄) . τ Note that the subderivative d f (x̄) is a lower semicontinuous and positively homogeneous function and that the regular subdifferential set can be derived from the subderivative as follows: ∂ f (x̄) = {v ∈ IRn | v, w ≤ d f (x̄)(w) ∀w ∈ IRn }. For a set-valued mapping S : IRn ⇒ IRm and a point x̄ ∈ IRn , the outer limit of S at x̄ is defined by lim sup S(x) := {u | ∃x ν → x̄, ∃u ν → u with u ν ∈ S(x ν )}, x→x̄ and the inner limit of S at x̄ is defined by lim inf S(x) := {u | ∀x ν → x̄, ∃u ν → u with u ν ∈ S(x ν )}. x→x̄ The limit of S at x̄ exists iff its outer and inner limits are equal: lim S(x) = lim sup S(x) = lim inf S(x). x→x̄ 123 x→x̄ x→x̄ J Optim Theory Appl (2015) 164:123–137 127 It is well known [1] that, for a polyhedral set P at one of its points x̄, there exists a neighbourhood V of x̄ such that P ∩ V = [x̄ + TP (x̄)] ∩ V. We now introduce such a property for a convex set in an analogous way. Definition 2.1 We say that a convex set C ⊂ IRn admits exactness of tangent approximation (ETA, for short) at one of its points x̄, if and only if there exists a neighbourhood V of x̄ such that (cl C) ∩ V = [x̄ + TC (x̄)] ∩ V. 3 A Characterization of Closed Positive Hulls In this section, let C ⊂ IRn be closed and convex with 0 ∈ C, and we shall give an equivalent condition for the positive hull pos C to be closed. To show that pos C is closed, it suffices to show that for any xk → x with xk ∈ pos C (that is, γC (xk ) < +∞) for all k, it follows that x ∈ pos C (that is, γC (x) < +∞). Observing that γC is lower semicontinuous, we get from [1, Lemma 1.7] that γC (x) = min{α ∈ IR | ∃x ν → x with γC (x ν ) → α} ∀x ∈ IRn . Therefore, the sequences xk → x with γC (xk ) < +∞ for all k such that γC (xk ) → +∞ are important for characterizing the closedness of pos C. This motivates us to introduce a limit set as follows: pos∞ C := lim M(α), α↓0 (3) where M : IR++ ⇒ IRn is a set-valued mapping defined by M(α) := {x | 1 ≤ γC (x) < +∞} ∀α > 0. α Clearly, M(α) = pos C ∩ lev≥ 1 γC is the truncated upper level set of γC and it α decreases as α tends to 0 with α > 0 (making it possible for the limit set in (3) to exist). From the positive homogeneity of γC , it follows that pos∞ C is a closed cone (possibly nonconvex) contained in cl (pos C). From the facts that pos C = dom γC [see (2)] and that x ∈ lev ≥ 1 γC if and only if x ∈ λC for all λ ∈]0, α1 [, it follows that α x ∈ pos∞ C if and only if ∃xk → x with γC (xk ) < +∞ such that γC (xk ) → +∞, (4) or equivalently 1 . ∀αk ↓ 0, ∃xk → x with xk ∈ pos C and xk ∈ tC ∀t ∈ 0, αk (5) 123 128 J Optim Theory Appl (2015) 164:123–137 We now illustrate the closed cone pos ∞ C by a simple example. Example 3.1 Let C = {x ∈ IR2 | x2 ≥ x12 }. It is clear that ⎧ 2 x1 ⎪ ⎪ if x2 > 0, ⎨ x2 , γC (x) = 0, if x1 = x2 = 0, ⎪ ⎪ ⎩ +∞, otherwise. Clearly, we have pos C = dom γC = {x ∈ IR2 | x2 > 0} ∪ {(0, 0)}, and pos∞ C ⊂ cl (dom γC ) = {x ∈ IR2 | x2 ≥ 0}. Since the gauge function γC is sublinear (hence convex), it is continuous on the interior of its domain, implying that {x ∈ IR2 | x2 > 0} ∩ pos ∞ C = ∅. Let xk = (1, 1/k)T . It is clear to see that xk → (1, 0) with γC (xk ) < +∞ and γC (xk ) → +∞. Thus, we have (1, 0) ∈ pos ∞ C. Similarly, we have (−1, 0) ∈ pos ∞ C. Since pos ∞ C is a cone, we have pos ∞ C = {x ∈ IR2 | x2 = 0}. Note that in this example, pos C is not closed and pos ∞ C is not contained in pos C. It turns out that the closed cone pos∞ C encapsulates enough information for characterizing closedness of positive hulls. We capture this fact in the following theorem. Theorem 3.1 For a closed and convex set C ⊂ IRn with 0 ∈ C, its positive hull pos C is closed if and only if pos∞ C ⊂ pos C. (6) Proof If pos C is closed and x ∗ ∈ pos∞ C, then it follows from (5) that x ∗ ∈ pos C and hence (6) follows. Conversely, assume that (6) holds. Let xk → x be such that xk ∈ pos C for all k (that is, γC (xk ) < +∞). If γC (xki ) ≤ τ for some τ > 0 and a subsequence {xki } of {xk }, then xki ∈ τ C for all ki , implying that x ∈ τ C ⊂ pos C. Alternatively, γC (xk ) → +∞, and from (4) and (6) it follows that x ∈ pos∞ C ⊂ pos C. Thus, in either case, we have x ∈ pos C, implying that pos C is closed. It was shown by [6, Theorem 3.3] that pos C is closed if exte C > 0. In this case, (6) holds trivially because it turns out in next section that exte C > 0 if and only if pos∞ C = ∅. Moreover, our findings in next section suggest that for general convex sets, the equality pos∞ C = ∅ can be used to define a nice property that polyhedral sets have. 4 Characterizations of Exact Tangent Approximations In this section, we first build connections among the ETA property of a convex set and other properties of a convex set and then show by a counterexample that the ETA property alone is merely sufficient for a positive hull to be closed in higher dimensional spaces even though it is necessary in a two-dimensional space. 123 J Optim Theory Appl (2015) 164:123–137 129 Theorem 4.1 For a convex set C̃ ⊂ IRn and a point x̄ ∈ C̃, let C := cl C̃ − x̄. The following properties are equivalent and entail pos C being closed: (a) C̃ admits ETA at x̄. (b) C admits ETA at 0. (c) There is some τ > 0 such that the following equivalent conditions hold: (c1) exte C ≥ τ1 . (c2) pos C ∩ S ⊂ τ C. (c3) d(x, ker σC ) ≤ τ σC (x) ∀x ∈ IRn . (d) The gauge function γC of C is continuous at 0 relative to pos C. (e) pos∞ C = ∅. Proof To begin with, we point out the following facts: (I) C is a closed and convex set containing the origin. (II) Under the assumption of (c1), the closedness of pos C was shown in [6, Theorem 3.3]. (III) The equivalence of (c1) and (c3) was shown in [6, Theorem 4.1]. [(a) ⇐⇒ (b)]: By definition, C̃ admits ETA at x̄ if and only if there exists some neighbourhood V of x̄ such that (cl C̃) ∩ V = [x̄ + TC̃ (x̄)] ∩ V or equivalently C ∩ (V − x̄) = TC̃ (x̄) ∩ (V − x̄). Observing that V − x̄ is a neighbourhood of 0, and that TC̃ (x̄) = Tcl C̃ (x̄) = T(cl C̃)−x̄ (0) = TC (0), the equivalence of (a) and (b) follows readily. [(c2) ⇒ (c1)]: Let x ∈ C be such that t x ∈ C for all t > 1. It is clear to see that x 1 x = 0. By (c2), we have τ x ∈ C, which implies that τ x ≤ 1 (that is, x ≥ τ1 ). Therefore, we have exte C := inf{x | x ∈ C, t x ∈ C ∀t > 1} ≥ 1 . τ [(c1) ⇒ (c2)]: Let x ∈ pos C ∩ S. Suppose by contradiction that x ∈ τ C (that is, τx ∈ C). Since C is a closed and convex set containing 0, there must exist some τ > τ such that τx ∈ C and t τx ∈ C for all t > 1. Thus, we have exte C := inf{x | x ∈ C, t x ∈ C ∀t > 1} < x 1 1 = < , τ τ τ contradicting to (c1). [(b) ⇒ (c2)]: It follows from (b) that there exists some neighbourhood V of 0 such that TC (0) ∩ V = C ∩ V . Since C is convex with 0 ∈ C, by [1, Theorem 6.9], we have TC (0) = cl (pos C). Thus, we have pos C ∩ V ⊂ C. Let τ > 0 be such that 1 τ B ⊂ V . It then follows that pos C ∩ B ⊂ τ C. This implies that (c2) holds. [(c2) ⇒ (b)]: Let V := τ1 B. Since C is a convex set containing 0, by [1, Theorem 6.9], we have TC (0) = cl (pos C) and can rewrite (c2) as pos C ∩ V ⊂ C. In view of C ⊂ pos C, we have pos C ∩ V = C ∩ V . It follows from the fact (II) and the equivalence of (c1) and (c2) that pos C is closed, implying that TC (0) ∩ V = C ∩ V . That is, C admits ETA at 0. 123 130 J Optim Theory Appl (2015) 164:123–137 [(c2) ⇒ (d)]: Without loss of generality, we assume that there is a sequence {xk } ⊂ pos C\{0} such that xk → 0 (otherwise, we have pos C = C = {0}, and xk ∈ C for all k. In view of (1), hence (d) holds trivially). By (c2), we have τ x k xk we have γC τ xk ≤ 1 (that is, γC (xk ) ≤ τ xk ). Since τ xk → 0, we have γC (xk ) → 0 = γC (0). Therefore, γC is continuous at 0 relative to pos C. [(d) ⇒ (c2)]: Suppose by contradiction that (c2) does not hold, i.e. there exists a sequence {xk } ⊂ pos C ∩ S with xk ∈ kC (that is, γC xkk > 1) for all k. It is clear to see that xkk → 0 with xkk ∈ pos C for all k. By (d), we have γC xkk → γC (0) = 0, xk which is impossible because we have γC k > 1 for all k. [(d) ⇒ (e)]: Suppose by contradiction that pos∞ C = ∅. Let x ∈ pos∞ C and let αk ↓ 0. In view of (4), there exists a sequence {xk } converging to x such that 1 αk ≤ γC (x k ) < +∞ or 1 ≤ γC (αk x k ) < +∞ for all k. Since αk x k → 0 and αk xk ∈ pos C for all k, it then follows from (d) that γC (αk xk ) → 0, contradicting to the fact that 1 ≤ γC (αk xk ) for all k. [(e) ⇒ (c2)]: Suppose by contradiction that (c2) does not hold, i.e. there exists a sequence {xk } ⊂ pos C ∩ S with xk ∈ kC or γC (xk ) ≥ k for all k. Since xk ∈ pos C for all k, we have γC (xk ) < +∞ for all k. Let αk ↓ 0. By taking a subsequence if necessary, we may assume that xk → x ∗ ∈ S with α1k ≤ γC (xk ) < +∞ for all k. In view of (4), we have x ∗ ∈ pos∞ C = ∅, contradicting to (e). The proof is completed. Corollary 4.1 Let C ⊂ IRn be a closed and convex set containing 0. We have 1 = inf{τ > 0 | d(x, ker σC ) ≤ τ σC ∀x ∈ IRn } exte (C) = inf{τ > 0 | pos C ∩ S ⊂ τ C}, where the conventions 1 0 = +∞, 1 +∞ = 0 and inf ∅ = +∞ are used. Proof The first equality was proved in [6, Theorem 4.1]. The second equality follows easily from the equivalence of (c2) and (c3) in Theorem 4.1. Corollary 4.2 Let C ⊂ IRn be a closed and convex set containing 0. The following properties are equivalent and entail that C admits ETA at 0: (a) C is locally polyhedral at 0, i.e., C ∩ V is a polyhedron for some polyhedral neighbourhood V of 0. (b) pos C is a polyhedral cone. Proof Since the positive hull of any polyhedron is also a polyhedron and pos C = pos (C ∩ V ) for any neighbourhood V of 0, it is clear to see that (a) implies (b). Assuming now that pos C is a polyhedral cone. It then follows from the continuity properties of convex functions [1, Theorem 2.35] that γC is continuous relative to its domain pos C. By Theorem 4.1, C admits ETA at 0. This implies that C is locally polyhedral at 0. Corollary 4.3 Let C ⊂ IR2 be a closed and convex set containing 0. Then, C admits ETA at 0 if and only if pos C is closed. 123 J Optim Theory Appl (2015) 164:123–137 131 Fig. 1 The curve γ : [0, 2π ] → IR3 from Example 4.1 is shown in red solid line, which is the sharp boundary of the solid grey set, the convex hull C. The semi-transparent cone corresponds to the set pos C. Proof Observing that in IR2 , every closed cone is polyhedral, the result follows readily from Theorem 4.1 and Corollary 4.2. In Corollary 4.3, we show that a closed and convex set C containing the origin in two-dimensional space admits ETA at 0 if and only if its positive hull pos C is closed. However, this equivalence may not hold in higher dimensional spaces. This is demonstrated by a three-dimensional example in which pos C is closed but C does not admit ETA at 0. Example 4.1 Let γ : [0, 2π ] → IR3 be a three-dimensional curve defined as follows: γ (t) = (r (t) cos t, r (t) sin t, r (t)) with t r (t) = sin , 4 and let C = conv {γ (t), t ∈ [0, 2π ]}. The set C and the curve γ are shown in Fig. 1. In what follows, we shall show the following properties one by one: (i) The set C is a compact and convex set containing 0. (ii) The set pos C is a closed and convex cone; moreover, 2 2 pos C = (x, y, z) | z ≥ x + y . (iii) The set of all extreme points of C is γ ([0, 2π ]), the extent of C is 0, and the gauge function γC is not continuous at 0 relative to γ ([0, 2π ]). (iv) C does not admit ETA at 0. 123 132 J Optim Theory Appl (2015) 164:123–137 Proof of (i) Observe that C is convex by definition; also, 0 = γ (0) ∈ C. Finally, C is compact as a convex hull of the compact setγ ([0, 2π ]). Proof of (ii) Let K := (x, y, z) | z ≥ x 2 + y 2 . First, we show that pos C ⊂ K . Indeed, let p = (x, y, z) ∈ pos C. Then for some τ > 0, we have p ∈ τ C. Therefore, p can be represented as p=τ l αi γ (ti ), ti ∈ [0, 2π ], αi > 0 ∀ i ∈ {1, . . . , l}, i=1 l αi = 1. i=1 We have x 2 + y2 = τ l i=1 = τ2 ti αi cos ti sin 4 l i, j=1 = τ2 l 2 + τ i=1 l αi α j cos(ti − t j ) sin =τ l l i=1 αi sin ti 4 tj ti sin 4 4 2 ti αi sin 4 i=1 Since z = τ 2 tj ti sin 4 4 αi α j sin i, j=1 2 ti αi sin ti sin 4 tj ti αi α j cos ti cos t j + sin ti sin t j sin sin 4 4 i, j=1 ≤ τ2 l = z2. > 0, this yields z≥ x 2 + y2, and hence p ∈ K . It remains to show that K ⊂ pos C. Let p = (x, y, z) ∈ K . First, consider the case when x 2 + y 2 = 0. Let t0 ∈]0, 2π ] be such that cos t0 = x x 2 + y2 , sin t0 = y x 2 + y2 . If t0 ≤ π , let t1 = t0 + π , otherwise let t1 = t0 − π . Observe that sin t0 = − sin t1 , 123 cos t0 = − cos t1 . J Optim Theory Appl (2015) 164:123–137 133 Set z + x 2 + y2 , α := 2 sin t40 z − x 2 + y2 β := . 2 sin t41 0; moreover, we Observe that since p ∈ K , we have z ≥ x 2 + y 2 , and hence α, β ≥ have p = αγ (t0 )+βγ (t1 ), and α+β = 0 (otherwise p = 0 and hence x 2 + y 2 = 0). Let τ := α + β, λ0 := α/τ , and λ1 := β/τ . We have p = τ (λ0 γ (t0 ) + λ1 γ (t1 )), τ > 0, λ0 + λ1 = 1, λ0 , λ1 ≥ 0, (7) hence, p ∈ τ C. It remains to consider the case when x = y = 0, i.e. when p = (0, 0, z) with z ≥ 0. Observe that if z = 0, we have√p = 0 = γ (0) ∈ C = 1 · C.√ Assume that z > 0. Let t0 = π , t1 = 2π . Let λ0 := √ 2 , λ1 := √ 1 , τ := 1+2 2 z > 0. It is 2+1 2+1 straightforward to check that (7) holds, and hence p ∈ τ C. By the arbitrariness of p, we have shown that K ⊂ pos C. Therefore, pos C = K , and since K is a closed and convex cone, so is pos C. Proof of (iii) Denote by extr (C) the set of all extreme points of C. First, we will show that extr (C) ⊂ γ ([0, 2π ]), and that γ (0) is an extreme point of the closed cone pos C and γ (t) with t ∈]0, 2π ] is an extreme direction of pos C. Thus, if there exist some t0 , t1 , t2 ∈ [0, 2π ] and α ∈]0, 1[ such that αγ (t1 ) + (1 − α)γ (t2 ) = γ (t0 ), then t1 = t2 = t0 . This implies that γ ([0, 2π ]) ⊂ extr (C) and hence extr (C) = γ ([0, 2π ]). Since γ (t) → 0 as t ↓ 0, the extent of C is by definition 0. By definition, we have γC (γ (t)) = 1 for all t ∈]0, 2π ], implying that γC cannot be continuous at 0 relative to γ ([0, 2π ]) as we have γC (γ (0)) = γC (0) = 0. Proof of (iv) By Theorem 4.1, the result follows directly from (iii). Let C ⊂ IRn be closed and convex, and let x ∈ C. Consider the following conditions: (a) C is locally polyhedral at x. (b) C admits ETA at x. (c) pos (C − x) is closed. The results that we obtained so far show that (a) ⇒ (b) ⇒ (c). Example 4.1 demonstrates that (c) may not imply (b), and any intersection set of a non-polyhedral closed and convex cone with a neighbourhood of the origin can be used to demonstrate that (b) may not imply (a), because such a set admits ETA at the origin but it is not locally polyhedral at the origin. However, the following proposition show that conditions (a), (b) and (c) are the same whenever they holds on the whole set. Proposition 4.1 Let C ⊂ IRn be closed and convex. The following properties are equivalent: 123 134 J Optim Theory Appl (2015) 164:123–137 (a) C is locally polyhedral at every x ∈ C. (b) C admits ETA at every x ∈ C. (c) pos (C − x) is closed for all x ∈ C. Proof From Corollary 4.2, we obtain that (a) implies (b). By Theorem 4.1, we know that (b) implies (c). It was shown by [7, Lemma 3.2] that if (c) holds, then pos (C − x) is a polyhedral cone for every x ∈ C. In view of Corollary 4.2, we know that (c) implies (a). The proof is completed. Remark 4.1 Let C ⊂ IRn be closed and convex. It was shown by [8, Proposition 2.17] that C is locally polyhedral at every x ∈ C if and only if C is a boundedly polyhedral set (i.e. any nonempty intersection of C with a bounded polyhedron is polyhedral). Therefore, the ETA property on the whole set C actually gives an alternative description of a boundedly polyhedral set. Note that a boundedly polyhedral set is not necessarily polyhedral. For instance, the convex hull of the set {(x, x 2 ) | x = 0, ±1, ±2, ±3, . . .} is not a polyhedral set but a boundedly polyhedral set. 5 Global Error Bounds for Positively Homogeneous Functions In this section, we consider a proper, lower semicontinuous and positively homogeneous function h : IRn → IR, and give necessary and sufficient conditions for the inequality system h(x) ≤ 0 to possess a global error bound, i.e. for the existence of some τ > 0 such that d(x, ker h + ) ≤ τ h + (x) ∀x ∈ IRn , (8) where h + (x) := max{h(x), 0} for all x ∈ IRn . It is clear to see that h + is a nonnegative, lower semicontinuous and positively homogeneous function, and that ker h + = {x ∈ IRn | h(x) ≤ 0} is a nonempty and closed (possibly nonconvex) cone. Moreover, it is worth pointing out that ker h + is closely related to a closed and convex set defined by C := {v ∈ IRn | v, x ≤ h + (x) ∀x ∈ IRn }, (9) of which the ETA property plays a key role in the sequel. Note that we have 0 ∈ C because h + is non-negative. From [1, Theorem 8.24], it follows that the support function σC of C is the closure of the convex hull of h + , i.e. σC = cl (conv h + ). Recall from Theorem 4.1 that there exists some τ > 0 such that d(x, ker σC ) ≤ τ σC (x) ∀x ∈ IRn , 123 (10) J Optim Theory Appl (2015) 164:123–137 135 if and only if pos C ∩ S ⊂ τ C (i.e. C admits ETA at 0). Surprisingly, it turns out that (10) is a consequence of (8), as can be seen from the following theorem, in which we present sharp necessary and sufficient conditions for the inequality system h(x) ≤ 0 to possess the global error bound (8). Theorem 5.1 Let τ > 0 and let h : IRn → IR be a proper, lower semicontinuous and positively homogeneous function. If (8) holds, then the following equivalent properties hold: ker h + (0) ∩ S ⊂ τ C. (a) N (b) pos C ∩ S ⊂ τ C and pos C = [ker h + ]∗ . Conversely, if (c) Nker h + (0) ∩ S ⊂ τ C, then (8) holds. Moreover, if ker h + is regular at 0, then (a) ⇐⇒ (c). ker h + (0) = Nker h + (0) and hence Proof If ker h + is regular at 0, then we have N (a) ⇐⇒ (c). ker h + (0) = [(a) ⇐⇒ (b)]: Since ker h + is a nonempty closed cone, we have N ∗ [ker h + ] . In view of (9), we have v, x ≤ 0 for all v ∈ C and x ∈ ker h + . Thus, we have C ⊂ [ker h + ]∗ and hence pos C ⊂ [ker h + ]∗ . ker h + (0) ⊂ pos C and hence pos C = [ker h + ]∗ , If (a) holds, then [ker h + ]∗ = N implying that (b) holds. Alternatively, if (b) holds, then (a) holds trivially. That is, (a) and (b) are equivalent. [(8) ⇒ (a)]: Let v ∈ [ker h + ]∗ ∩ S. By the definition of the polar cone, we have −v, x ≥ 0 for all x ∈ ker h + . That is, the linear function −v, · admits a minimum over ker h + at x̄ = 0. Note that the linear function −v, · is Lipschitz of rank 1 on IRn , i.e. |−v, x1 − −v, x2 | ≤ − vx1 − x2 = x1 − x2 ∀x1 , x2 ∈ IRn . Then from (8) and [9, Proposition 2.4.3], it follows that there exists some τ > 1 such that the function −v, · + τ h + (·) admits a minimum over IRn at x̄. That is, h + (x) ≥ v τ ,x ∀x ∈ IRn . ker h + (0) ∩ S = [ker h + ]∗ ∩ S ⊂ τ C. In view of (9), we have v ∈ τ C. Thus, N [(c) ⇒ (8)]: Let x ∈ ker h + . From [1, Proposition 6.27], it follows that there exists some v̄ ∈ Nker h + (0) with v̄ = 1 such that d(x, ker h + ) = v̄, x. (11) By (c), we have v̄ ∈ τ C. In view of (9) and (11), we have d(x, ker h + ) ≤ τ h + (x). 123 136 J Optim Theory Appl (2015) 164:123–137 This completes the proof. Remark 5.1 Let C ⊂ IRn be a closed and convex set with 0 ∈ C and let be the set of proper, lower semicontinuous and positively homogeneous functions h satisfying cl (conv h + ) = σC . From [1, Theorem 8.24], it follows that σC ∈ = ∅, and that any h ∈ can be used to define C via (9). In general, could be an infinite set. If C admits no ETA at 0, then it follows from Theorem 5.1 that there is no h ∈ such that the inequality system h(x) ≤ 0 possesses a global error bound as defined by (8). This demonstrates from another angle that ETA is an important property of convex sets. Moreover, by setting h to be σC , the equivalence of (c2) and (c3) in Theorem 4.1 can be recovered from Theorem 5.1. In the remainder of this section, we shall apply Theorem 5.1 to study variational properties of local minima in terms of regular subgradients and subderivatives. Let f : IRn → IR be a function with f (x̄) finite. If f has a local minimum at x̄, then the generalized Fermat’s rule [1, Theorem 10.1] asserts that d f (x̄) ≥ 0 or equivalently 0 ∈ ∂ f (x̄). Beyond the equivalence of these two conditions, we can exploit more relations between the subdrivative d f (x̄) and the regular subdifferential set ∂ f (x̄) as shown by the following proposition, which follows in a direct way from Theorem 5.1. Proposition 5.1 Assume that the function f : IRn → IR has a local minimum at x̄ with f (x̄) finite, and that the closed cone ker d f (x̄) is convex. Then, the following statements are equivalent: (a) There is some τ > 0 such that d(w, ker d f (x̄)) ≤ τ d f (x̄)(w) ∀w ∈ IRn . (b) ∂ f (x̄) admits ETA at 0 and pos ( ∂ f (x̄)) = [ker d f (x̄)]∗ . 6 Conclusions In this paper, we introduced, for a convex set, the exact tangent approximation (ETA) property that (boundedly) polyhedral sets possess, and provided its full characterizations by relating ETA with many existing properties of a convex set, such as the relative continuity of the gauge function γC , and the nonzero extent of a convex set. We also presented necessary and sufficient conditions for the closedness of the positive hull of a convex set via a limit set defined by truncated upper level sets of the gauge function. By virtue of the ETA property, we gave sufficient and necessary conditions being of almost no gap for the existence of a global error bound for a proper, lower semicontinuous and positively homogeneous function. To end this paper, we pose a conjecture on the continuity property of the gauge function as follows. Conjecture 6.1 For a closed and convex set C containing 0, its gauge γC is a nonnegative, lower semicontinuous and sublinear function. From the literature, it is well known that γC is continuous at 0 if and only if γC is everywhere continuous. We conjecture that γC is continuous at 0 relative to pos C (that is, C admits ETA at 0), if and only if, γC is continuous at every x ∈ pos C relative to pos C. 123 J Optim Theory Appl (2015) 164:123–137 137 Acknowledgments This research was supported by the National Natural Science Foundation of China (Grants: 71090402, 11201383) and the Research Grants Council of Hong Kong (PolyU 5295/12E). The authors would like to thank the two anonymous reviewers for their valuable comments and suggestions, which have helped to improve the paper. References 1. Rockafellar, R.T., Wets, R.J.-B.: Variational Analysis. Springer-Verlag, Berlin (1998) 2. Hu, H.: Characterizations of the strong basic constraint qualifications. Math. Oper. 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