1 Correction to: Journal of Optimization Theory and Applications (2020) 186:209–225https://doi.org/10.1007/s10957-020-01692-z

2 Introduction

In [1] the statement of Lemma 4.1 is incorrect. In fact, if the dimension of \(\mathcal {H}\) is infinite it is always possible to find a sequence in \(\mathcal {C}_{V}\) which converges weakly to a vector not contained in \(\mathcal {C}_{V}\), see Proposition 2.1 below. We apologize for this mistake. If the dimension of \(\mathcal {H}\) is finite, Lemma 4.1 is not necessary to prove Theorem 4.1. In this erratum, we provide the correct statement for Theorem 4.1 for the finite dimensional case, as well as its proof.

3 Corrected Result

Let us start by proving that \(\mathcal {C}_{V}\) is not necessarily weakly closed if \(\mathcal {H}\) is infinite dimensional. Recall that \((\mathcal {H}, \left\langle \,\cdot , \cdot \, \right\rangle )\) is a separable Hilbert space, \((\mathcal {E}, \left[ \,\cdot , \cdot \, \right] )\) is a Krein space and \(V\in \mathcal {L}(\mathcal {H},\mathcal {E})\) is surjective. If \(\dim N(V)^\bot \) is finite the problem can be treated as if \(\mathcal {H}\) were finite dimensional, simply considering \(N(V)^\bot \) instead of \(\mathcal {H}\).

Proposition 2.1

If \(\dim N(V)^\bot \) is infinite then \(\mathcal {C}_{V}\) is not weakly closed.

Proof

Assume that \(\dim N(V)^\bot \) is infinite. Then, \(\mathcal {E}\) is also infinite dimensional (and separable) because V is surjective. Let \(\mathcal {E}=\mathcal {E}_+[\dotplus ]\mathcal {E}_-\) be a fundamental decomposition of \(\mathcal {E}\). Hence, \((\mathcal {E}_+, \left[ \,\cdot , \cdot \, \right] )\) and \((\mathcal {E}_-, -\left[ \,\cdot , \cdot \, \right] )\) are Hilbert spaces. Without loss of generality, we can assume that \(\dim \mathcal {E}_+\) is infinite.

Let us consider an orthonormal basis \({(e^+_n)}_{n\ge 1}\) of \(\mathcal {E}_+\). As a consequence of Bessel’s inequality we have that \(e_n^+\xrightarrow []{w} 0\), i.e.

$$\begin{aligned} \left[ \,e_n^+ , z\, \right] \rightarrow 0 \qquad \text {for every }z\in \mathcal {E}^+. \end{aligned}$$

For each \(n\ge 1\) there exists a unique \(x_n\in N(V)^\bot \) such that \(Vx_n=e_n^+\). Also, choose \(e^{-}\in \mathcal {E}_-\) such that \(\left[ \,e^- , e^-\, \right] =-1\) and the unique \(x_0\in N(V)^\bot \) such that \(Vx_0=e^-\). Then, define

$$\begin{aligned} y_n= x_n + x_0, \qquad n\ge 1. \end{aligned}$$

Below we show that the sequence \({(y_n)}_{n\ge 1}\) is contained in \(\mathcal {C}_{V}\) and it weakly converges to \(x_0\notin \mathcal {C}_{V}\). On the one hand, if \(n\ge 1\),

$$\begin{aligned} \left[ \,Vy_n , Vy_n\, \right] =\left[ \,e_n^+ + e^- , e_n^+ + e^-\, \right] =\left[ \,e_n^+ , e_n^+\, \right] + \left[ \,e^- , e^-\, \right] =1-1=0, \end{aligned}$$

i.e. \(y_n\in \mathcal {C}_{V}\). On the other hand, given \(x\in \mathcal {H}\),

$$\begin{aligned} \big |\left\langle \,y_n-x_0 , x\, \right\rangle \big |&=\big |\left\langle \,x_n , x\, \right\rangle \big |=\big |\left\langle \,V^\dag e_n^+ , x\, \right\rangle \big |= \big |\left[ \,e_n^+ , (V^\dag )^\# x\, \right] \big |\xrightarrow [n\rightarrow \infty ]{} 0. \end{aligned}$$

Therefore, \(y_n\xrightarrow []{w} x_0\) and \(x_0\notin \mathcal {C}_{V}\) since \(\left[ \,Vx_0 , Vx_0\, \right] =\left[ \,e^- , e^-\, \right] =-1\ne 0\). \(\square \)

Now we give the correct statement and proof of [1, Theorem 4.1], which establishes sufficient conditions for the existence of indefinite interpolating splines for every \(z_0\in \mathcal {E}\) in the finite dimensional setting.

Theorem 2.1

[1, Theorem 4.1] Suppose that \(\mathcal {H}\) is a finite dimensional space. If R(L) is a uniformly positive subspace of \((\mathcal {K}\times \mathcal {E}, \left[ \,\cdot , \cdot \, \right] _\rho )\) for some \(\rho \ne 0\) then \(\mathcal {S}_{z_0}\ne \varnothing \) for every \(z_0\in \mathcal {E}\).

Proof

In order to prove the theorem, we apply [1, Proposition 4.2]. To this end, we first show that \(T^\#Tx\in R(L^\#L)\) for every \(x\in \mathcal {H}\).

By [1, Proposition A.1], R(L) is a regular subspace. Then, for every \((y,z)\in \mathcal {K}\times \mathcal {E}\) there exists (a unique) \(x\in \mathcal {H}\) such that \(Lx - (y,z)\in R(L)^{{[\bot ]}}\), or equivalently, \(L^\#Lx=L^\#(y,z)\). Since T and V are surjective, for each \((y,z)\in \mathcal {K}\times \mathcal {E}\) there exist \(u,w\in \mathcal {H}\) such that \(y=Tu\) and \(z=Vw\). Therefore, there exists \(x\in \mathcal {H}\) such that

$$\begin{aligned} T^\#Tu + \rho V^\#Vw =L^\#(Tu, Vw)=(T^\#T + \rho V^\#V)x, \end{aligned}$$

and consequently \(R(L^\#L)=R(T^\#T+\rho V^\#V)=R(T^\#T)+R(V^\#V)\). Thus, \(R(T^\#T)\subseteq R(L^\#L)\).

Given \(z_0\in \mathcal {E}\), let \(x_0,u_0\in \mathcal {H}\) be such that \(Vx_0=z_0\) and \(T^\#Tx_0=L^\#Lu_0\). Since \(\mathcal {H}\) is a finite dimensional space, \((R(L^\#L),\left( \,\cdot , \cdot \, \right) )\) is a Hilbert space and \(\mathcal {C}_{V}\cap \mathcal {B}_L\) is compact. Then \({{\,\mathrm{d}\,}}(u_0,\mathcal {C}_{V}\cap \mathcal {B}_L)\) is attained. In this case, [1, Proposition 4.2] ensures that \(\mathcal {S}_{z_0}\ne \varnothing \). \(\square \)