## 1 Introduction

Although the abstract metric spaces introduced by Fréchet at the beginning of the last century are of the utmost importance, in some applications, they are too restrictive and need a more general model. To name a few examples: the Minkowski p-distance in psychology ($$p<1$$) [27, 36], the Zolotarev distance in spaces of random variables [40], and the $$d_{\epsilon }$$-distance in machine learning [13]. The terminology has not yet stabilized within the many generalizations of metric spaces and therefore let us determine which one we will work with here. Let X be a non-empty set, and let $$d:X\times X\rightarrow [0,\infty )$$ be a function that satisfies:

1. (1)

$$d(x,y)=0$$ if, and only if, $$x=y$$;

2. (2)

$$d(x,y)=d(y,x)$$, for all $$x,y\in X$$;

3. (3)

there exists a constant $$C\ge 1$$ such that

\begin{aligned} d(x,y)\le C(d(x,z)+d(z,y)) \end{aligned}

for all $$x,y,z\in X$$.

Following for example Heinonen [26], we shall call d for a quasimetric, and the pair (Xd) for a quasimetric space. Some writers call this instead for a nearmetric or inframetric. Next, let us define our specific X and then construct d.

Let $$n\ge 2$$ and $$1\le m\le n$$. We say that a $${\mathcal {C}}^2$$-function u defined in a bounded domain in $${\mathbb {C}}^n$$ is m-subharmonic if the elementary symmetric functions are positive $$\sigma _l(\lambda (u))\ge 0$$ for $$l=1,\dots ,m$$, where $$\lambda (u)=(\lambda _1,\ldots ,\lambda _n)$$ are eigenvalues of the complex Hessian matrix $$D_{{\mathbb {C}}}^2u=[\frac{\partial ^2u}{\partial z_j\partial {\bar{z}}_k}]$$. The complex m-Hessian operator on a $${\mathcal {C}}^2$$-function u is then defined by

\begin{aligned} {\text {H}}_m(u)=c(n,m)\sigma _m(\lambda (D_{{\mathbb {C}}}^2u)), \end{aligned}

for some constant c(nm) depending only on n and m.

This construction yields that the 1-Hessian operator is the Laplace operator defined on 1-subharmonic functions that are just the subharmonic functions, while the complex n-Hessian operator is the complex Monge–Ampère operator defined on n-subharmonic functions that are the plurisubharmonic functions. Historically this model goes back to Caffarelli et al. [14] in 1985, where they did a similar construction for the real Hessian matrix. Vinacua, a student of Nirenberg, was one of those who adapted the idea of the Hessian operator to the complex setting ( [38, 39]) that we shall use here. Later in 2005, Błocki [12] introduced pluripotential methods to the theory of complex Hessian operators, and there he, among other things, generalized the complex Hessian operator to non-smooth m-subharmonic functions. For $$p>0$$, set

\begin{aligned} e_{p,m}(u)=\int _{\Omega } (-u)^p {\text {H}}_m(u), \end{aligned}

and we shall call $$e_{p,m}(u)$$ for the (pm)-energy of the function u. Let $${\mathcal {E}}_{p,m}(\Omega )$$ be the class of m-subharmonic functions that, in a general sense, vanish on the boundary and additionally they should have finite (pm)-energy. The classes $${\mathcal {E}}_{p,m}(\Omega )$$ are sometime known as the Cegrell’s generalized energy classes, after Cegrell’s influential work [15] on $${\mathcal {E}}_{p,n}(\Omega )$$. For the early work on the theory of variation for the complex n-Hessian operator, see, e.g., [9, 10, 18, 23, 24, 28]. On the other hand, if $$m=1$$, and $$p=1$$, then $$e_{1,1}$$ is the Dirichlet energy integral from potential theory connected to a long and fruitful history.

Set $$X={\mathcal {E}}_{p,m}(\Omega )$$, and let $${\text {J}}_p:X\times X\rightarrow [0,\infty )$$ be defined by

\begin{aligned} {\text {J}}_p(u,v)=\left( \int |u-v|^p({\text {H}}_{m}(u)+{\text {H}}_{m}(v))\right) ^{\frac{1}{p+m}}. \end{aligned}

In Theorem 3.6, we prove that $$(X,{\text {J}}_p)$$ is a quasimetric space in the above sense, and in Theorem 3.9, we prove that it is complete. Later in Sect. 7, we shall consider the compact Kähler manifold case, and in Theorems 3.6, and  7.5, we shall prove that the corresponding construction is a complete quasimetric space. Guedj et al. [25, Theorem 1.6] proved the quasi-triangle inequality in the case $$m=n$$, in the compact Kähler manifold setting (see also [11, Theorem 1.8], and [22]).

In Sect. 3, we will use the complete quasimetric space $$(X,{\text {J}}_p)$$ in $${\mathbb {C}}^n$$ to prove the following stability results for the complex Hessian operators. First, let us define

\begin{aligned} \begin{aligned} \mathcal {M}_{p,m}=\big \{&\mu \; :\; \mu \text { is a non-negative Radon measure on } \Omega \text { such that }\\&{\text {H}}_{m}(u)=\mu \text { for some } u\in {\mathcal {E}}_{p,m}(\Omega )\big \}. \end{aligned} \end{aligned}

Let $$\mu \in \mathcal {M}_{p,m}$$, then in Theorem 6.3, we prove that if $$0\le f, f_j\le 1$$ are measurable functions such that $$f_j\rightarrow f$$ in $$L^1_{loc}(\mu )$$, as $$j\rightarrow \infty$$, then $${\text {J}}_p(U(f_j\mu ), U(f\mu ))\rightarrow 0$$, $$j\rightarrow \infty$$. By Proposition 4.2 we know that convergence in $$(X,{\text {J}}_p)$$ implies convergence in capacity, but by Example 4.3, we have that the converse statement is false. Hence, Theorem 6.3 is a generalization of [34, Theorem 7.2]. Note that this also implies improved results in the pluricomplex case, $$m=n$$, and therefore, Theorem 6.3 also generalizes the stability result by Cegrell and Kołodziej [16]. For further information about these types of stability results in the case $$m=n$$, we refer to [19, Section 7.2].

We would like to thank the referees for their helpful comments and suggestions.

## 2 Preliminaries

Here, we shall present some crucial and necessary facts about m-subharmonic functions that shall be used in this paper. For further information, see, e.g., [1, 2, 29]. First, let $$n\ge 2$$, $$1\le m\le n$$, and let $$\Omega$$ be a bounded domain in $${\mathbb {C}}^n$$. Then define $${\mathbb {C}}_{(1,1)}$$ to be the set of (1, 1)-forms with constant coefficients, and set

\begin{aligned} \Gamma _m=\left\{ \alpha \in {\mathbb {C}}_{(1,1)}: \alpha \wedge \beta ^{n-1}\ge 0, \dots , \alpha ^m\wedge \beta ^{n-m}\ge 0 \right\} \, , \end{aligned}

where $$\beta =dd^c|z|^2$$ is the canonical Kähler form in $${\mathbb {C}}^n$$. We then say that a subharmonic function u defined on $$\Omega$$ is m-subharmonic, if the following inequality holds

\begin{aligned} dd^cu\wedge \alpha _1\wedge \dots \wedge \alpha _{m-1}\wedge \beta ^{n-m}\ge 0\, , \end{aligned}

in the sense of currents for all $$\alpha _1,\ldots ,\alpha _{m-1}\in \Gamma _m$$. Furthermore, we call $$\Omega$$ for m-hyperconvex if it admits an exhaustion function $$\varphi$$ that is negative and m-subharmonic, i.e., the closure of the set $$\{z\in \Omega : \varphi (z)<c\}$$ is compact in $$\Omega$$, for every $$c\in (-\infty , 0)$$. For further information about m-hyperconvex domains, we refer to [5].

Let $$p>0$$. We say that an m-subharmonic function $$\varphi$$ defined on an m-hyperconvex domains $$\Omega$$ belongs to:

(i):

$$\mathcal {E}_{0,m}(\Omega )$$ if, $$\varphi$$ is bounded,

\begin{aligned} \lim _{z\rightarrow \xi } \varphi (z)=0 \quad \text { for every } \xi \in \partial \Omega \, , \end{aligned}

and

\begin{aligned} \int _{\Omega } {\text {H}}_{m}(\varphi )<\infty \, , \end{aligned}

where $${\text {H}}_{m}(u)=(dd^cu)^m\wedge \beta ^{n-m}$$ is the complex Hessian operator.

(ii):

$$\mathcal {E}_{p,m}(\Omega )$$ if, there exists a decreasing sequence, $$\{u_{j}\}$$, $$u_{j}\in \mathcal {E}_{0,m}(\Omega )$$, that converges pointwise to u on $$\Omega$$, as j tends to $$\infty$$, and

\begin{aligned} \sup _{j} e_{p,m}(u_j)=\sup _{j}\int _{\Omega }(-u_{j})^p{\text {H}}_{m}(u_j)< \infty \, . \end{aligned}

### Theorem 2.1

Let $$n\ge 2$$, $$1\le m\le n$$, and assume that $$\Omega \subset {\mathbb {C}}^n$$ is an m-hyperconvex domain. There exists a constant D(mp) (depending only on p and m) such that for any $$u_0,u_1,\ldots , u_m\in \mathcal {E}_{p,m}(\Omega )$$ it holds

\begin{aligned}&\int _\Omega (-u_0)^p dd^c u_1\wedge \cdots \wedge dd^c u_m\wedge \beta ^{n-m}\\&\quad \le \; D(m,p) e_{p,m}(u_0)^{\frac{p}{m+p}}e_{p,m}(u_1)^{\frac{1}{m+p}}\cdots e_{p,m}(u_m)^{\frac{1}{m+p}}\, . \end{aligned}

### Proof

See, e.g., Lu [29, 30], and Nguyễn [33]. For the case when $$m=n$$, see [3, 15, 17, 35]. $$\square$$

### Theorem 2.2

Let $$n\ge 2$$, $$1\le m\le n$$, and assume that $$\Omega \subset {\mathbb {C}}^n$$ is an m-hyperconvex domain. Furthermore, assume that $$u,v\in {\mathcal {E}}_{p,m}(\Omega )$$, and T be a positive closed current. Then it holds:

1. (1)
\begin{aligned} \int _{\{u<v\}}{\text {H}}_{m}(v)\le \int _{\{u<v\}}{\text {H}}_{m}(u). \end{aligned}
2. (2)

If $${\text {H}}_{m}(v)\le {\text {H}}_{m}(u)$$, then $$u\le v$$.

3. (3)

If $${\text {H}}_{m}(u)(u<v)=0$$, then $$u\ge v$$.

4. (4)

$$\chi _{\{u<v\}}(dd^c\max (u,v))\wedge T=\chi _{\{u<v\}}(dd^cv)\wedge T$$.

5. (5)

$${\text {H}}_{m}(\max (u,v))\ge \chi _{\{u\ge v\}}{\text {H}}_{m}(u)+ \chi _{\{u<v\}}{\text {H}}_{m}(v)$$.

### Proof

For (1), (2), (4), and (5), see, e.g., [30, 34]. Point (2) was proved in [8] for $$p=1$$. The proof for $$p\ne 1$$ is the same. $$\square$$

We shall need a comparison principle with weights. Proposition 2.3 will be used in the proof of Proposition 3.4.

### Proposition 2.3

Let $$n\ge 2$$, $$1\le m\le n$$, and assume that $$\Omega \subset {\mathbb {C}}^n$$ is an m-hyperconvex domain. Assume that $$u,v,w\in {\mathcal {E}}_{p,m}(\Omega )$$ are such that $$w\ge u\ge v$$, then

\begin{aligned} \int _{\Omega }(w-u)^p{\text {H}}_{m}(u)\le (\max (p,1)+1)^m\int _{\Omega }(w-v)^p{\text {H}}_{m}(v). \end{aligned}

### Proof

Let $$u_1=u-w$$, $$v_1=v-w$$ and $$T=(dd^cw+dd^cu_1)^{m-1}\wedge \beta ^{n-m}$$. Then we have

\begin{aligned}&\int _{\Omega }(-v_1)^p(dd^cw+dd^cu_1)\wedge T\\&\quad =\int _{\Omega }(-v_1)^pdd^cw\wedge T + \int _{\Omega }(-v_1)^pdd^cu_1\wedge T=I_1+I_2. \end{aligned}

Note that for $$p\ge 1$$

\begin{aligned} dd^c(-(-v_1)^p)= & {} p(1-p)(-v_1)^{p-2}dv_1\wedge d^cv_1+p(-v_1)^{p-1}dd^cv_1 \\\le & {} p(-v_1)^{p-1}(dd^cv_1+dd^c w), \end{aligned}

and for $$p<1$$

\begin{aligned} dd^c(-(-v_1)^p)= & {} p(1-p)(-v_1)^{p-2}dv_1\wedge d^cv_1+p(-v_1)^{p-1}dd^cv_1 \\\le & {} p(1-p)(-v_1)^{p-2}dv_1\wedge d^cv_1+p(-v_1)^{p-1}(dd^cv_1+dd^c w). \end{aligned}

Then we get

\begin{aligned} I_1= & {} \int _{\Omega }(-v_1)^pdd^cw\wedge T\le \int _{\Omega }(-v_1)^pdd^cw\wedge T\\&+p\int _{\Omega }(-v_1)^{p-1}dv_1\wedge d^cv_1\wedge T=\int _{\Omega }(-v_1)^p(dd^cw+dd^cv_1)\wedge T. \end{aligned}

For $$p\ge 1$$

\begin{aligned} I_2&=\int _{\Omega }(-v_1)^pdd^cu_1\wedge T= \int _{\Omega }(-u_1)dd^c(-(-v_1)^p)\wedge T\\&\le p\int _{\Omega }(-u_1)(-v_1)^{p-1}(dd^cv_1+dd^c w)\wedge T\le p \int _{\Omega }(-v_1)^{p}(dd^cv_1+dd^c w)\wedge T, \end{aligned}

and for $$p<1$$

\begin{aligned} I_2&=\int _{\Omega }(-v_1)^pdd^cu_1\wedge T=\int _{\Omega }(-u_1)dd^c(-(-v_1)^p)\wedge T\\&\le \int _{\Omega }(-u_1)\left( p(1-p)(-v_1)^{p-2}dv_1\wedge d^cv_1+p(-v_1)^{p-1}(dd^cv_1+dd^c w)\right) \wedge T\\&\le \int _{\Omega }p(1-p)(-v_1)^{p-1}dv_1\wedge d^cv_1\wedge T+p(-v_1)^{p}(dd^cv_1+dd^c w)\wedge T\\&\le (1-p)\int _{\Omega }(-v_1)^pdd^cv_1\wedge T+p\int _{\Omega }(-v_1)^p(dd^cv_1+dd^c w)\wedge T \\&\le \int _{\Omega }(-v_1)^{p}(dd^cv_1+dd^c w)\wedge T. \end{aligned}

Finally, for any $$p>0$$

\begin{aligned}&\int _{\Omega }(-u_1)^p(dd^cw+dd^cu_1)\wedge T\le \int _{\Omega }(-v_1)^p(dd^cw+dd^cu_1)\wedge T \\&\quad \le (\max (p,1)+1)\int _{\Omega }(-v_1)^p(dd^cw+dd^cv_1)\wedge T\le \dots \\&\quad \le (\max (p,1)+1)^m\int _{\Omega }(w-v)^p(dd^cv)^m\wedge \beta ^{n-m}. \end{aligned}

$$\square$$

We end this section with a Xing tyle inequality, see [37], that shall be used in Proposition 3.4. In Proposition 7.3, we shall as well prove the correspondent result in the case of compact Kähler manifolds.

### Proposition 2.4

Let $$n\ge 2$$, $$1\le m\le n$$, and assume that $$\Omega \subset {\mathbb {C}}^n$$ is an m-hyperconvex domain, and $$u,v\in {\mathcal {E}}_{p,m}(\Omega )$$.

1. (1)

If $$u\le v$$, then

\begin{aligned} \int _{\Omega }(v-u)^p{\text {H}}_{m}(v)\le \int _{\Omega }(v-u)^p{\text {H}}_{m}(u). \end{aligned}
2. (2)

Without any additional assumption on u, and v, it holds

\begin{aligned} \int _{\{u<v\}}(v-u)^p{\text {H}}_{m}(v)\le \int _{\{u<v\}}(v-u)^p{\text {H}}_{m}(u). \end{aligned}

### Proof

(1) Let $$\epsilon >1$$, then $$\epsilon u<u\le v$$. We obtain

\begin{aligned}&\int _{\Omega }(v-\epsilon u)^p({\text {H}}_{m}(\epsilon u)-{\text {H}}_{m}(v))\\&\quad =\sum _{k+l=m-1}\int _{\Omega }(v-\epsilon u)^pdd^c(\epsilon u-v)\wedge (dd^c\epsilon u)^k\wedge (dd^cv)^l\wedge \beta ^{n-m}\\&\quad =p\sum _{k+l=m-1}\int _{\Omega }(v-\epsilon u)^{p-1}d(v-\epsilon u)\wedge d^c(v-\epsilon u)\wedge (dd^c\epsilon u)^k\wedge (dd^cv)^l\wedge \beta ^{n-m}\\&\quad \ge 0. \end{aligned}

From this, it follows

\begin{aligned} \int _{\Omega }(v-\epsilon u)^p{\text {H}}_{m}(v)\le \epsilon ^m\int _{\Omega }(v-\epsilon u)^p{\text {H}}_{m}(u), \end{aligned}

and then by using the monotone convergence theorem, and finally passing to the limit, $$\epsilon \rightarrow 1^+$$, we arrive at the desired conclusion.

(2) From (1), and Theorem 2.2, we obtain

\begin{aligned}&\int _{\{u<v\}}(v-u)^p{\text {H}}_{m}(v)=\int _{\{u<v\}}(\max (u,v)-u)^p{\text {H}}_{m}(\max (u,v))\\&\quad =\int _{\Omega }(\max (u,v)-u)^p{\text {H}}_{m}(\max (u,v))\le \int _{\Omega }(\max (u,v)-u)^p{\text {H}}_{m}(u)\\&\quad =\int _{\{u<v\}}(v-u)^p{\text {H}}_{m}(u). \end{aligned}

$$\square$$

## 3 Quasimetric Spaces

Let (Xd) be a quasimetric space. Recall that every metric is a quasimetric. Furthermore, in every quasimetric space (Xd) there exists a metric $$\rho$$ with the property that there is an $$\epsilon >0$$, and a constant $$A>0$$ such that

\begin{aligned} A^{-1}d^{\epsilon }\le \rho \le Ad^{\epsilon }, \end{aligned}

see, e.g., [26].

In the next definition, we shall define a functional, $${\text {J}}_p$$, in $${\mathcal {E}}_{p,m}(\Omega )\times {\mathcal {E}}_{p,m}(\Omega )$$. After proving some elementary properties of $${\text {J}}_p$$ in Proposition 3.4, and that $${\text {J}}_p$$ satisfies the quasi-triangle inequality (Lemma 3.5), we can, in Theorem 3.6, conclude that we have a family of quasimetric spaces. These spaces are complete as shall be shown in Theorem 3.9.

### Definition 3.1

Let $$n\ge 2$$, $$1\le m\le n$$, and assume that $$\Omega \subset {\mathbb {C}}^n$$ is an m-hyperconvex domain. For $$u,v\in {\mathcal {E}}_{p,m}(\Omega )$$ and $$p>0$$ let us define

\begin{aligned} {\text {J}}_p(u,v)=\left( \int _{\Omega }|u-v|^p({\text {H}}_{m}(u)+{\text {H}}_{m}(v))\right) ^{\frac{1}{p+m}}. \end{aligned}

In the next definition, let us recall the notion of rooftop envelope.

### Definition 3.2

Let $$n\ge 2$$, $$1\le m\le n$$, and assume that $$\Omega \subset {\mathbb {C}}^n$$ is an m-hyperconvex domain. For $$u_1,\dots ,u_k\in {\mathcal {E}}_{p,m}(\Omega )$$ define

\begin{aligned} {\text {P}}(u_1,\dots ,u_k)=\Big (\sup \{\varphi \in {\mathcal {E}}_{p,m}(\Omega ): \varphi \le \min (u_1,\dots ,u_k)\}\Big )^*, \end{aligned}

where $$(\,)^*$$ is the upper semicontinuous regularization.

### Remark

If $$u,v\in {\mathcal {E}}_{p,m}(\Omega )$$, then $$u+v\le {\text {P}}(u,v)$$, and therefore we have $$P(u,v)\in {\mathcal {E}}_{p,m}(\Omega )$$.

We shall need the following minimum principle. In [8, Theorem 4.3], Theorem 3.3 was proved for the class $${\mathcal {E}}_{1,m}(\Omega )$$, but the proof without any change goes over to $${\mathcal {E}}_{p,m}(\Omega )$$. Therefore, we omit the proof here.

### Theorem 3.3

Let $$n\ge 2$$, $$1\le m\le n$$, and assume that $$\Omega \subset {\mathbb {C}}^n$$ is an m-hyperconvex domain. Let $$u,v\in {\mathcal {E}}_{p,m}(\Omega )$$. Then the following holds

\begin{aligned} {\text {H}}_{m}({\text {P}}(u,v))\le \chi _{\{{\text {P}}(u,v)=u\}}{\text {H}}_{m}(u)+\chi _{\{{\text {P}}(u,v)=v\}}{\text {H}}_{m}(v). \end{aligned}
(3.1)

### Proposition 3.4

Let $$n\ge 2$$, $$1\le m\le n$$, and assume that $$\Omega \subset {\mathbb {C}}^n$$ is an m-hyperconvex domain. Furthermore assume that $$u,v,w\in {\mathcal {E}}_{p,m}(\Omega )$$. Then

1. (1)

$${\text {J}}_p(u,v)<\infty$$;

2. (2)

$${\text {J}}_p(u,v)=0$$ if, and only if, $$u=v$$;

3. (3)

$${\text {J}}_p(u,v)={\text {J}}_p(v,u)$$;

4. (4)

$${\text {J}}_p(u,v)^{p+m}={\text {J}}_p(u,\max (u,v))^{p+m}+{\text {J}}_p(v,\max (u,v))^{p+m}$$;

5. (5)
\begin{aligned}&\max ({\text {J}}_p(u,\max (u,v)),{\text {J}}_p(v,\max (u,v)))\le {\text {J}}_p(u,v) \\&\quad \le {\text {J}}_p(u,\max (u,v))+{\text {J}}_p(v,\max (u,v)); \end{aligned}
6. (6)

If $$u\le v$$, then

\begin{aligned} 2\int _{\Omega }(v-u)^p{\text {H}}_{m}(v)\le {\text {J}}_p(u,v)^{p+m}\le 2\int _{\Omega }(v-u)^p{\text {H}}_{m}(u); \end{aligned}
7. (7)

If $$u\le v\le w$$, then $${\text {J}}_p(u,v)\le 2^{\frac{p+2}{p+m}}{\text {J}}_p(u,w)$$;

8. (8)

If $$u\le v\le w$$, then $${\text {J}}_p(v,w)^{p+m}\le (\max (p,1)+1)^m{\text {J}}_p(u,w)^{p+m}$$;

9. (9)

$${\text {J}}_p(v,{\text {P}}(u,v))\le {\text {J}}_p(u,\max (u,v))\le {\text {J}}_p(u,v)$$;

10. (10)

$${\text {J}}_p(v,{\text {P}}(u,v))^{p+m}+{\text {J}}_p(u,{\text {P}}(u,v))^{p+m}\le {\text {J}}_p(v,u)^{p+m}$$;

11. (11)

If $$u\le v$$, then $${\text {J}}_p({\text {P}}(u,w),{\text {P}}(v,w))\le 2^{\frac{p+2}{p+m}}{\text {J}}_p(u,v)$$.

### Proof

(1). By Theorem 2.1 we have

\begin{aligned} {\text {J}}_p(u,v)^{p+m}\le & {} \int _{\Omega }(-u-v)^p ({\text {H}}_{m}(u)+{\text {H}}_{m}(v)) \\\le & {} D(m,p)e_{p,m}(u+v)^{\frac{p}{p+m}}(e_{p}(u)^{\frac{m}{p+m}}+e_{p}(v)^{\frac{m}{p+m}})<\infty . \end{aligned}

(2). It is obvious that $${\text {J}}_p(u,u)=0$$. Next, assume that $${\text {J}}_p(u,v)=0$$. Then $${\text {H}}_{m}(u)(\{u<v\})=0$$, so by Theorem 2.2 we obtain $$u\ge v$$. In a similar manner, we have $${\text {H}}_{m}(v)(\{v<u\})=0$$. Hence, $$v\le u$$, and therefore it follows $$u=v$$.

(3). This property is an immediate consequence of the definition of $${\text {J}}_p$$.

(4). Thanks to Theorem 2.2, it follows that $${\text {H}}_{m}(\max (u,v))={\text {H}}_{m}(u)$$ on the set $$\{u>v\}$$, and similarly $${\text {H}}_{m}(\max (u,v)))={\text {H}}_{m}(v)$$ on the set $$\{v>u\}$$. Thus,

\begin{aligned} {\text {J}}_p(u,v)^{p+m}= & {} \int _{\Omega }|u-v|^p({\text {H}}_{m}(u)+{\text {H}}_{m}(v))\\= & {} \int _{\{u<v\}}(\max (u,v)-u)^p({\text {H}}_{m}(u)+{\text {H}}_{m}(\max (u,v)))\\&+\int _{\{v<u\}}(\max (u,v)-v)^p({\text {H}}_{m}(v)+{\text {H}}_{m}(\max (u,v)))\\= & {} {\text {J}}_p(u,\max (u,v))^{p+m}+{\text {J}}_p(v,\max (u,v))^{p+m}. \end{aligned}

(5). This is an immediate consequence of (4).

(6). Proposition 2.4 yields this result.

(7). Note that $$0\le w-v\le w-u$$. Then by using (6) we get

\begin{aligned} {\text {J}}_p(u,v)^{p+m}\le & {} 2\left( \int _{\Omega }(v-u)^p{\text {H}}_{m}(u)\right) \\\le & {} 2^{1+p}\left( \int _{\Omega }(w-v)^p{\text {H}}_{m}(u)+\int _{\Omega }(w-u)^p{\text {H}}_{m}(u)\right) \\\le & {} 2^{2+p}{\text {J}}_p(u,w)^{p+m}. \end{aligned}

(8). By Proposition 2.3 we get

\begin{aligned} {\text {J}}_p(v,w)^{p+m}= & {} \int _{\Omega }(w-v)^p({\text {H}}_{m}(v)+{\text {H}}_{m}(w))\\= & {} \int _{\Omega }(w-v)^p{\text {H}}_{m}(v)+\int _{\Omega }(w-v)^p{\text {H}}_{m}(w)\\\le & {} (\max (p,1)+1)^m\int _{\Omega }(w-u)^p{\text {H}}_{m}(u)+\int _{\Omega }(w-u)^p{\text {H}}_{m}(w)\\= & {} (\max (p,1)+1)^m{\text {J}}_p(u,w)^{p+m}. \end{aligned}

(9). By Theorem 2.2 we get

\begin{aligned} {\text {J}}_p(u,\max (u,v))^{p+m}= & {} \int _{\Omega }(\max (u,v)-u)^p({\text {H}}_{m}(u)+{\text {H}}_{m}(\max (u,v)))\\= & {} \int _{\{u<v\}}(v-u)^p({\text {H}}_{m}(u)+{\text {H}}_{m}(\max (u,v))))\\= & {} \int _{\{u<v\}}(v-u)^p({\text {H}}_{m}(u)+{\text {H}}_{m}(v)). \end{aligned}

On the other hand, using Theorem 3.3 we arrive at

\begin{aligned} {\text {J}}_p(v,{\text {P}}(u,v))^{p+m}= & {} \int _{\Omega }(v-{\text {P}}(u,v))^p({\text {H}}_{m}(v)+{\text {H}}_{m}({\text {P}}(u,v)))\\\le & {} \int _{\{{\text {P}}(u,v)<v\}}(v-{\text {P}}(u,v))^p\Big ({\text {H}}_{m}(v)+ \chi _{\{{\text {P}}(u,v)=v\}}{\text {H}}_{m}(v)\\&\quad +\chi _{\{{\text {P}}(u,v)=u\}}{\text {H}}_{m}(u))\Big )\\= & {} \int _{\{{\text {P}}(u,v)<v\}\cap \{{\text {P}}(u,v)=u\}}(v-{\text {P}}(u,v))^p({\text {H}}_{m}(u)+{\text {H}}_{m}(v))\\\le & {} \int _{\{u<v\}}(v-u)^p({\text {H}}_{m}(u)+{\text {H}}_{m}(v))={\text {J}}_p(u,\max (u,v))^{p+m}. \end{aligned}

The last inequality follows from (5).

(10). This follows from (4) together with (9).

(11). Note that $$u\le \max (u,{\text {P}}(v,w))\le v$$, and then by (7) and (9), we have

\begin{aligned} {\text {J}}_p({\text {P}}(v,w),{\text {P}}(u,w))= & {} {\text {J}}_p({\text {P}}(v,w),{\text {P}}(u,{\text {P}}(v,w)))\le {\text {J}}_p(u,\max (u,{\text {P}}(v,w)))\\\le & {} 2^{\frac{p+2}{p+m}}{\text {J}}_p(u,v). \end{aligned}

$$\square$$

By letting us be inspired by [25], we can in the next lemma prove that $${\text {J}}_p$$ enjoys the quasi-triangle inequality.

### Lemma 3.5

Let $$n\ge 2$$, $$1\le m\le n$$, and assume that $$\Omega \subset {\mathbb {C}}^n$$ is an m-hyperconvex domain. Then there exists $$C>0$$ such that for any $$u,v,w\in {\mathcal {E}}_{p,m}(\Omega )$$ it holds

\begin{aligned} {\text {J}}_p(u,v)\le C({\text {J}}_p(u,w)+{\text {J}}_p(w,v)). \end{aligned}

Furthermore, the constant C can be taken as $$C=\left( 2^{2p+1}(2^p+1)3^{m}\right) ^{\frac{1}{p+m}}$$.

### Proof

By using the comparison principle (see, e.g., Theorem 2.2), it follows

\begin{aligned} \begin{aligned} {\text {H}}_{m}(u)(\{v<u-2s\})&\le {\text {H}}_{m}(v)(\{v<u-2s\})\\ {\text {H}}_{m}(v)(\{u<v-2s\})&\le {\text {H}}_{m}(u)(\{u<v-2s\}), \end{aligned} \end{aligned}

and therefore it holds

\begin{aligned} {\text {J}}_p(u,v)^{p+m}= & {} \int _{\Omega }|u-v|^p({\text {H}}_{m}(u)+{\text {H}}_{m}(v))\nonumber \\= & {} p\int _0^{\infty }s^{p-1}({\text {H}}_{m}(u)+{\text {H}}_{m}(v))(\{|u-v|>s\})\mathrm{{d}}s\nonumber \\= & {} p2^p\int _0^{\infty }s^{p-1}({\text {H}}_{m}(u)+{\text {H}}_{m}(v))(\{|u-v|>2s\})\mathrm{{d}}s \nonumber \\\le & {} p2^{p+1}\int _0^{\infty }s^{p-1}({\text {H}}_{m}(u)(\{u<v-2s\})+{\text {H}}_{m}(v)(\{v<u-2s\}))\mathrm{{d}}s.\nonumber \\ \end{aligned}
(3.2)

Next we shall estimate the measure $${\text {H}}_{m}(u)(\{u<v-2s\})$$. Since

\begin{aligned} \{u<v-2s\}\subset & {} \{u<w-s\}\cup \{w-s\le u<v-2s\}\subset \{u<w-s\}\\&\cup&\left\{ w<\frac{u+2v}{3}-\frac{s}{3}\right\} , \end{aligned}

we can use again the comparison principle (see, e.g., Theorem 2.2) and arrive at

\begin{aligned}&{\text {H}}_{m}(u)(\{w-s\le u<v-2s\})\\&\quad \le {\text {H}}_{m}(u)\left( \left\{ w<\frac{u+2v}{3}-\frac{s}{3}\right\} \right) \\&\quad \le 3^m{\text {H}}_{m}\left( \frac{u+2v}{3}\right) \left( \left\{ w<\frac{u+2v}{3}-\frac{s}{3}\right\} \right) \\&\quad \le 3^m{\text {H}}_{m}(w)\left( \left\{ w<\frac{u+2v}{3}-\frac{s}{3}\right\} \right) . \end{aligned}

Note that also holds

\begin{aligned} \left| w-\frac{u+2v}{3}\right| ^p= & {} \frac{1}{3^p}|3w-u-2v|^p \le \left( \frac{2}{3}\right) ^p(|w-u|^p+|2w-2v|^p) \\\le & {} \left( \frac{2}{3}\right) ^p|w-u|^p+\left( \frac{4}{3}\right) ^p|w-v|^p. \end{aligned}

Finally, by using the above estimates

\begin{aligned}&p\int _0^{\infty }s^{p-1}{\text {H}}_{m}(u)(\{u<v-2s\})\mathrm{{d}}s\\&\quad \le p\int _0^{\infty }s^{p-1}{\text {H}}_{m}(u)(\{u<w-s\})\mathrm{{d}}s\\&\qquad +p3^m\int _0^{\infty }s^{p-1}{\text {H}}_{m}(w)\left( \left\{ w<\frac{u+2v}{3}-\frac{s}{3}\right\} \right) \mathrm{{d}}s\\&\quad \le \int _{\Omega }|w-u|^p{\text {H}}_{m}(u)+3^{m+p}\int _{\Omega }\left| w-\frac{u+2v}{3}\right| ^p{\text {H}}_{m}(w)\\&\quad \le \int _{\Omega }|w-u|^p{\text {H}}_{m}(u)+3^{m}2^p\int _{\Omega }|w-u|^p{\text {H}}_{m}(w)+3^m4^p\int _{\Omega }|w-v|^p{\text {H}}_{m}(w). \end{aligned}

A similar estimate can be obtained for $${\text {H}}_{m}(v)(\{v<u-2s\})$$, and therefore by (3.2) we get

\begin{aligned} {\text {J}}_p(u,v)^{p+m}\le & {} p2^{p+1}\int _0^{\infty }s^{p-1}({\text {H}}_{m}(u)(\{u<v-2s\})+{\text {H}}_{m}(v)(\{v<u-2s\}))\mathrm{{d}}s\\\le & {} 2^{p+1}\left( \int _{\Omega }|w-u|^p{\text {H}}_{m}(u)+3^{m}2^p\int _{\Omega }|w-u|^p{\text {H}}_{m}(w)\right. \\&\left. +3^m4^p\int _{\Omega }|w-v|^p{\text {H}}_{m}(w)\right) \\&+2^{p+1}\left( \int _{\Omega }|w-v|^p{\text {H}}_{m}(v)+3^{m}2^p\int _{\Omega }|w-v|^p{\text {H}}_{m}(w)\right. \\&\left. +3^m4^p\int _{\Omega }|w-u|^p{\text {H}}_{m}(w)\right) \\\le & {} 2^{2p+1}(2^p+1)3^{m}({\text {J}}_p(u,w)^{p+m}+{\text {J}}_p(v,w)^{p+m}). \end{aligned}

To finish the proof, it is enough to observe that

\begin{aligned} {\text {J}}_p(u,v)\le \left( 2^{2p+1}(2^p+1)3^{m})\right) ^{\frac{1}{p+m}}({\text {J}}_p(u,w)+{\text {J}}_p(v,w)). \end{aligned}

$$\square$$

Thanks to Proposition 3.4 (1)–(3) and Lemma 3.5 we can now conclude that we have a family of quasimetric spaces. The aim of the rest of this section is to prove that they are complete, which we will do in Theorem 3.9.

### Theorem 3.6

Let $$n\ge 2$$, $$1\le m\le n$$, and assume that $$\Omega \subset {\mathbb {C}}^n$$ is an m-hyperconvex domain. Then the pair $$({\mathcal {E}}_{p,m}(\Omega ),{\text {J}}_p)$$ is a quasimetric space.

To be able to prove that the quasimetric spaces are complete, we need information on how $${\text {J}}_p$$ behaves under monotone sequences. In the case $$p=1$$, $${\text {J}}_1$$ is continuous both for increasing and decreasing sequences, but only for decreasing sequences when $$p\ne 1$$.

### Proposition 3.7

Let $$n\ge 2$$, $$1\le m\le n$$, and assume that $$\Omega \subset {\mathbb {C}}^n$$ is an m-hyperconvex domain. Let $$u_j\in {\mathcal {E}}_{p,m}(\Omega )$$ be a decreasing sequence that converging to $$u \in {\mathcal {E}}_{p,m}(\Omega )$$. Then $${\text {J}}_p(u_j,u)\rightarrow 0$$, as $$j\rightarrow \infty$$. If $$p=1$$, then the same statement is true for increasing sequences.

### Proof

First assume that the sequence $$u_j$$ is decreasing. Then by Proposition 3.4 (6), and the monotone convergence theorem, we get

\begin{aligned} {\text {J}}_p(u_j,u)^{p+m}\le 2\int _{\Omega }(u_j-u)^p{\text {H}}_{m}(u)\rightarrow 0, \end{aligned}

as $$j\rightarrow \infty$$. Now assume that $$p=1$$, and the sequence $$u_j$$ is increasing. By Proposition 2.7 from [8] and Proposition 3.4 (6), we get

\begin{aligned} {\text {J}}_1(u_j,u)^{1+m}\le 2\int _{\Omega }(u-u_j){\text {H}}_{m}(u_j)\rightarrow 0, \end{aligned}

as $$j\rightarrow \infty$$. $$\square$$

To prove that the space $$({\mathcal {E}}_{p,m}(\Omega ),{\text {J}}_p)$$ is complete we shall need the following elementary fact.

### Proposition 3.8

If $$f_j$$ is an increasing sequence of continuous functions defined on X such that $$f_j\nearrow f$$, and $$\mu _j\rightarrow \mu$$ weakly, as $$j\rightarrow \infty$$, then

\begin{aligned} \liminf _{j\rightarrow \infty }\int _{X}f_jd\mu _j\ge \int _{X}fd\mu . \end{aligned}

### Proof

First we shall prove that if $$\alpha$$ is a lower continuous function then

\begin{aligned} \int _{X}\alpha d\mu \le \liminf _{j\rightarrow \infty }\int _{X}\alpha d\mu _j. \end{aligned}
(3.3)

Let $${\mathcal {C}}_0(X)\ni g_k\nearrow \alpha$$, then $$\int _{X}g_kd\mu _j\le \int _{X}\alpha d\mu _j$$. Now by the weak convergence we get

\begin{aligned} \int _{X}g_kd\mu =\lim _{j\rightarrow \infty }\int _{X}g_kd\mu _j\le \liminf _{j\rightarrow \infty }\int _{X}\alpha d\mu _j\, \end{aligned}

and by monotone convergence theorem we obtain (3.3).

Fix k, and let $$j\ge k$$, then $$\int _{X}f_jd\mu _j\ge \int _{X}f_kd\mu _j$$. Therefore by (3.3)

\begin{aligned} \liminf _{j\rightarrow \infty }\int _{X}f_jd\mu _j\ge \liminf _{j\rightarrow \infty }\int _{X}f_kd\mu _j\ge \int _{X}f_kd\mu . \end{aligned}

From the monotone convergence theorem, it now follows

\begin{aligned} \liminf _{j\rightarrow \infty }\int _{X}f_jd\mu _j\ge \lim _{k\rightarrow \infty }\int _{X}f_kd\mu =\int _{X}fd\mu . \end{aligned}

$$\square$$

The completeness of $$({\mathcal {E}}_{p,m}(\Omega ),{\text {J}}_p)$$ is next on our agenda.

### Theorem 3.9

Let $$n\ge 2$$, $$1\le m\le n$$, and assume that $$\Omega \subset {\mathbb {C}}^n$$ is an m-hyperconvex domain. The quasimetric space $$({\mathcal {E}}_{p,m}(\Omega ),{\text {J}}_p)$$ is complete.

### Proof

Let $$\{\varphi _j\}\subset {\mathcal {E}}_{p,m}(\Omega )$$ be a Cauchy sequence. After choosing a subsequence, we may assume that $${\text {J}}_p(\varphi _j,\varphi _{j+1})\le \frac{1}{3(2C)^{j+3}}$$ for $$j\in {\mathbb {N}}$$, where C is the constant from quasi-triangle inequality. From [5, Theorem 5.2], it follows that for each $$\varphi _j$$ there exists a decreasing sequence of continuous functions $${\mathcal {E}}_{0,m}(\Omega )\cap {\mathcal {C}}({\overline{\Omega }})\ni \psi _j^k\searrow \varphi _j$$, $$k\rightarrow \infty$$. Then we can choose $$u_j=\psi _j^{k(j)}$$ such that

\begin{aligned} {\text {J}}_p(u_j,\varphi _j)\le \frac{1}{3(2C)^{j+3}}, \end{aligned}
(3.4)

see Proposition 3.7. Observe that $$\{u_j\}\subset {\mathcal {E}}_{p,m}(\Omega )$$ is also a Cauchy sequence. For each $$j\in {\mathbb {N}}$$, we have

\begin{aligned} {\text {J}}_p(u_j,u_{j+1})\le & {} C^2({\text {J}}_p(u_j,\varphi _j)+{\text {J}}_p(\varphi _j,\varphi _{j+1})+{\text {J}}_p(\varphi _{j+1},u_{j+1}))\nonumber \\\le & {} \frac{3C^2}{3(2C)^{j+3}}\le \frac{1}{(2C)^{j+1}}. \end{aligned}
(3.5)

From the quasi-triangle inequality together with (3.5), we get

\begin{aligned} {\text {J}}_p(0,u_j)\le & {} C{\text {J}}_p(0,u_1)+C^2{\text {J}}_p(u_1,u_2)+\dots +C^j{\text {J}}_p(u_{j-1},u_j)\nonumber \\\le & {} C{\text {J}}_p(0,u_1)+\frac{C^2}{(2C)^2}+\dots +\frac{C^j}{(2C)^{j}}\le C{\text {J}}_p(0,u_1)+1. \end{aligned}
(3.6)

Set $$v_{j,k}=\max (u_j,\dots ,u_{k})$$, for $$k\ge j$$. Since $$v_{j,k}\in {\mathcal {E}}_{p,m}(\Omega )$$, we can use Proposition 3.4 (9) and (3.5) to arrive at

\begin{aligned} {\text {J}}_p(u_j,v_{j,k})= & {} {\text {J}}_p(u_j,\max (u_j,v_{j+1,k}))\le {\text {J}}_p(u_j,v_{j+1,k}) \nonumber \\\le & {} C({\text {J}}_p(u_j,u_{j+1})+{\text {J}}_p(u_{j+1},v_{j+1,k})) \nonumber \\= & {} C({\text {J}}_p(u_j,u_{j+1})+{\text {J}}_p(u_{j+1},\max (u_{j+1},v_{j+2,k}))) \nonumber \\\le & {} C{\text {J}}_p(u_j,u_{j+1})+C{\text {J}}_p(u_{j+1},v_{j+2,k}) \nonumber \\\le & {} C{\text {J}}_p(u_j,u_{j+1})+C^2{\text {J}}_p(u_{j+1},u_{j+2})+C^2{\text {J}}_p(u_{j+2},v_{j+2,k})\le \dots \nonumber \\\le & {} \sum _{l=0}^{k-j-1}C^{l+1}{\text {J}}_p(u_{j+l},u_{j+l+1})\nonumber \\\le & {} \sum _{l=0}^{k-j-1}C^{l+1}\frac{1}{(2C)^{j+l+1}}\le \frac{1}{2^j}. \end{aligned}
(3.7)

From (3.6), and (3.7), it now follows

\begin{aligned} {\text {J}}_p(0,v_{j,k})\le & {} C({\text {J}}_p(0,u_j)+{\text {J}}_p(u_j,u_{v_{j,k}}))\nonumber \\\le & {} C\left( C{\text {J}}_p(0,u_1)+1+\frac{1}{2^j}\right) \le C^2({\text {J}}_p(u_1,0)+2). \end{aligned}
(3.8)

The sequence $$v_{j,k}$$ is increasing in k, and therefore, it follows from (3.8) that $$\sup _{k}e_{p,m}(v_{j,k})<\infty$$. Hence, $$v_j=\left( \lim _{k\rightarrow \infty }v_{j,k}\right) ^*\in {\mathcal {E}}_{p,m}(\Omega )$$. Furthermore, $$v_j$$ is a decreasing sequence, $$v_j\searrow u=(\limsup _{j\rightarrow \infty }u_j)^*$$. Again using (3.8), we can conclude $$\sup _{j}e_{p,m}(v_j)<\infty$$. Thus, $$u\in {\mathcal {E}}_{p,m}(\Omega )$$.

We do not know if the quasimetric $${\text {J}}_p$$ is continuous under increasing sequences, but instead, we can obtain some estimates. The monotone convergence theorem and Proposition 3.8 imply

\begin{aligned} \liminf _{k\rightarrow \infty }{\text {J}}_p(u_j,v_{j,k})^{p+m}= & {} \liminf _{k\rightarrow \infty }\int _{\Omega }(v_{j,k}-u_j)^p{\text {H}}_{m}(v_{j,k}) \nonumber \\&+\lim _{k\rightarrow \infty }\int _{\Omega }(v_{j,k}-u_j)^p{\text {H}}_{m}(u_j)\ge \int _{\Omega }(v_j-u_j)^p{\text {H}}_{m}(v_j)\nonumber \\&+\int _{\Omega }(v_j-u_j)^p{\text {H}}_{m}(u_j)\nonumber \\= & {} {\text {J}}_p(u_j,v_j)^{p+m}. \end{aligned}
(3.9)

Hence, $${\text {J}}_p(u_j,v_j)\rightarrow 0$$, as $$j\rightarrow \infty$$, by using (3.7) and (3.9). Finally, $$\varphi _j$$ tends to u in the quasimetric $${\text {J}}_p$$, since Proposition 3.7, and (3.4) yields

\begin{aligned} {\text {J}}_p(\varphi _j, u)\le C^2({\text {J}}_p(u_j,v_j)+{\text {J}}_p(v_j,u)+{\text {J}}_p(u_j,\varphi _j))\rightarrow 0, \end{aligned}

as $$j\rightarrow \infty$$. $$\square$$

## 4 Convergence in the Space $$({\mathcal {E}}_{p,m}(\Omega ),{\text {J}}_p)$$

In this section, we shall continue to study the convergence in $$({\mathcal {E}}_{p,m}(\Omega ),{\text {J}}_p)$$. From Proposition 3.7, we know that quasimetric $${\text {J}}_p$$ is continuous under decreasing sequences, and if $$p=1$$, then we also know continuity under increasing sequences. A summary of this section is as follows:

1. (1)

If $${\text {J}}_p(u_j,u)\rightarrow 0$$, as $$j\rightarrow \infty$$, then $$u_j\rightarrow u$$ in $$L^{p+m}(\Omega )$$ (Proposition 4.1).

2. (2)

If $${\text {J}}_p(u_j,u)\rightarrow 0$$, as $$j\rightarrow \infty$$, then $$u_j\rightarrow u$$ in capacity $${\text {cap}}_m$$ (Proposition 4.2).

3. (3)

The inverse implications of the above results are not, in general valid (Example 4.3).

4. (4)

If $${\text {J}}_p(u_j,u)\rightarrow 0$$, as $$j\rightarrow \infty$$, then $${\text {H}}_{m}(u_j)\rightarrow {\text {H}}_{m}(u)$$ weakly (Proposition 4.5).

### Proposition 4.1

Let $$n\ge 2$$, $$1\le m\le n$$, and assume that $$\Omega \subset {\mathbb {C}}^n$$ is an m-hyperconvex domain and $$u_j,u\in {\mathcal {E}}_{p,m}(\Omega )$$. If $${\text {J}}_p(u_j,u)\rightarrow 0$$, $$j\rightarrow \infty$$, then $$u_j\rightarrow u$$, $$j\rightarrow \infty$$, in $$L^{p+m}(\Omega )$$.

### Proof

Recall that $${\mathcal {E}}_{p,m}(\Omega )\subset L^{p+m}(\Omega )$$ (see, e.g., [6]). Let $$\varphi \in {\mathcal {E}}_{0,m}(\Omega )$$ be such that $${\text {H}}_{m}(\varphi )=dV_{2n}$$. Assume that $${\text {J}}_p(u_j,u)\rightarrow 0$$, as $$j\rightarrow \infty$$. By Proposition 3.4 (5), we get

\begin{aligned} {\text {J}}_p(\max (u_j,u),u_j)\le {\text {J}}_p(u_j,u), \ \ \text{ and } \ \ {\text {J}}_p(\max (u_j,u),u)\le {\text {J}}_p(u_j,u), \end{aligned}

which implies that

\begin{aligned} {\text {J}}_p(\max (u_j,u),u_j)\rightarrow 0, \ \ {\text {J}}_p(\max (u_j,u),u)\rightarrow 0, \ \ j\rightarrow \infty . \end{aligned}
(4.1)

Thanks to Błocki’s inequality (see, e.g., Lemma 3.4 in [34]), together with (4.1), we obtain

\begin{aligned} \int _{\Omega }|u_j-u|^{p+m}dV_{2n}= & {} \int _{\Omega }|u_j-u|^{p+m}{\text {H}}_{m}(\varphi )\\= & {} \int _{\{u_j<u\}}(u-u_j)^{p+m}{\text {H}}_{m}(\varphi )+\int _{\{u<u_j\}}(u_j-u)^{p+m}{\text {H}}_{m}(\varphi )\\= & {} \int _{\{u_j<u\}}(\max (u,u_j)-u_j)^{p+m}{\text {H}}_{m}(\varphi )\\&+\int _{\{u<u_j\}}(\max (u_j,u)-u)^{p+m}{\text {H}}_{m}(\varphi ) \\\le & {} \int _{\Omega }(\max (u,u_j)-u_j)^{p+m}{\text {H}}_{m}(\varphi )\\&+\int _{\Omega }(\max (u_j,u)-u)^{p+m}{\text {H}}_{m}(\varphi ) \\\le & {} (p+m)\dots (p+1)\Vert \varphi \Vert _{\infty }^m\Bigg (\int _{\Omega }(\max (u,u_j)-u_j)^{p} {\text {H}}_{m}(u_j)\\&+\int _{\Omega }(\max (u_j,u)-u)^{p}{\text {H}}_{m}(u)\Bigg ) \\\le & {} (p+m)\dots (p+1)\Vert \varphi \Vert _{\infty }^m\left( {\text {J}}_p(\max (u_j,u),u_j)^{p+m}\right. \\&\left. +{\text {J}}_p(\max (u_j,u),u)^{p+m}\right) \rightarrow 0, \end{aligned}

as $$j\rightarrow \infty$$. $$\square$$

With $$u_j\rightarrow u$$ in capacity $${\text {cap}}_m$$, we mean that for any $$K\Subset \Omega$$, and any $$\epsilon >0$$, it holds

\begin{aligned} \lim _{j\rightarrow \infty }{\text {cap}}_m\left( K\cap \{z\in \Omega : |u_j(z)-u(z)|>\epsilon \}\right) =0, \end{aligned}

where the capacity of a Borel set $$B\Subset \Omega$$ is defined by

\begin{aligned} {\text {cap}}_m(B)=\sup \left\{ \int _{B}{\text {H}}_{m}(\varphi ): \varphi \in \mathcal {SH}_m(\Omega ); \ -1\le \varphi \le 0\right\} . \end{aligned}

### Proposition 4.2

Let $$n\ge 2$$, $$1\le m\le n$$, and assume that $$\Omega \subset {\mathbb {C}}^n$$ is an m-hyperconvex domain, and $$u_j,u\in {\mathcal {E}}_{p,m}(\Omega )$$. If $${\text {J}}_p(u_j,u)\rightarrow 0$$, as $$j\rightarrow \infty$$, then $$u_j\rightarrow u$$ in capacity $${\text {cap}}_m$$.

### Proof

Set $$\varphi _j=(\sup _{k\ge j}u_j)^*$$. Then it follows $$\varphi _j\searrow v$$, and $$\varphi _j\ge u_j$$. Since $$\varphi _j$$ is decreasing sequence, we get from [30] that $$\varphi _j\rightarrow v$$ in capacity $${\text {cap}}_m$$. Theorem 2.1 yields

\begin{aligned} e_{p,m}(\varphi _j)^{\frac{1}{p+m}}\le & {} D(p,m)^{\frac{1}{p}}e_{p,m}(u_j)^{\frac{1}{p+m}} =D(p,m)^{\frac{1}{p}}{\text {J}}_p(u_j,0)\\\le & {} D(p,m)^{\frac{1}{p}}C({\text {J}}_p(u_j,u)+{\text {J}}_p(u,0)), \end{aligned}

which means that

\begin{aligned} \sup _{j}e_{p,m}(\varphi _j)^{\frac{1}{p+m}}\le D(p,m)^{\frac{1}{p}}\sup _{j}e_{p,m}(u_j)^{\frac{1}{p+m}}<\infty . \end{aligned}

Hence, $$v\in {\mathcal {E}}_{p,m}(\Omega )$$. Moreover, by Proposition 4.1, we know that $$u_j\rightarrow u$$ in $$L^{p+m}(\Omega )$$, $$j\rightarrow \infty$$, and therefore also $$\varphi _j\rightarrow u$$ in $$L^{p+m}(\Omega )$$. This implies that $$u=v$$. We have by Proposition 3.7

\begin{aligned} {\text {J}}_p(u_j,\varphi _j)\le C({\text {J}}_p(u_j,u)+{\text {J}}_p(\varphi _j,u))\rightarrow 0, \end{aligned}
(4.2)

Now observe that

\begin{aligned}&\{z\in \Omega : |u_j(z)-u(z)|>\epsilon \}\subset \\&\quad \left\{ z\in \Omega : |\varphi _j(z)-u_j(z)|>\frac{\epsilon }{2}\right\} \cup \left\{ z\in \Omega : |\varphi _j(z)-u(z)|>\frac{\epsilon }{2}\right\} . \end{aligned}

Therefore, it is sufficient to prove

\begin{aligned} \lim _{j\rightarrow \infty }{\text {cap}}_m\left( K\cap \left\{ z\in \Omega : |\varphi _j(z)-u_j(z)|>\frac{\epsilon }{2}\right\} \right) =0. \end{aligned}

Let $$\psi \in {\mathcal {E}}_{0,m}(\Omega )$$ be such that $$-1\le \psi \le 0$$, and $$K\Subset \Omega$$. Then by Błocki’s inequality (see, e.g., Lemma 3.4 in [34]) and by (4.2) we get

\begin{aligned}&\int _{K\cap \{z\in \Omega : |\varphi _j(z)-u_j(z)|>\frac{\epsilon }{2}\}}{\text {H}}_{m}(\psi ) \\&\quad \le \frac{2^{m+p}}{\epsilon ^{m+p}}\int _{K\cap \{z\in \Omega : |\varphi _j(z)-u_j(z)|>\frac{\epsilon }{2}\}}(\varphi _j-u_j)^{m+p}{\text {H}}_{m}(\psi )\\&\quad \le \frac{2^{m+p}}{\epsilon ^{m+p}}\int _{\Omega }(\varphi _j-u_j)^{m+p}{\text {H}}_{m}(\psi ) \\&\quad \le \frac{2^{m+p}}{\epsilon ^{m+p}}(p+m)\dots (p+1)\Vert \psi \Vert ^m_{\infty }\int _{\Omega }(\varphi _j-u_j)^p{\text {H}}_{m}(u_j) \\&\quad \le \frac{2^{m+p}(p+m)\dots (p+1)\Vert \psi \Vert ^m_{\infty }}{\epsilon ^{m+p}}{\text {J}}_p(u_j,\varphi _j)^{p+m}\rightarrow 0, \end{aligned}

as $$j\rightarrow \infty$$. $$\square$$

Note that the reverse implications in Proposition 4.1 and Proposition 4.2 are not, in general, true. The following example is taken from [20].

### Example 4.3

Let

\begin{aligned} u_j(z)=\max \left( j^{\frac{p}{n}}\ln |z|,-\frac{1}{j}\right) , \end{aligned}

be a plurisubharmonic function defined in the unit ball $${\mathbb {B}}$$ in $${\mathbb {C}}^n$$, $$n\ge 2$$. Then $$u_j\in {\mathcal {E}}_{0,n}({\mathbb {B}})$$,

\begin{aligned} {\text {J}}_p(u_j,0)^{p+n}=e_{p,n}(u_j)=(2\pi )^n, \end{aligned}

but $$u_j\rightarrow 0$$ in capacity, and $$u_j\rightarrow 0$$ in $$L^{p+n}({\mathbb {B}})$$.$$\Box$$

At the end of this section, we shall prove that convergence in $${\text {J}}_p$$ implies weak convergence of the complex Hessian measures. We shall need the following lemma.

### Lemma 4.4

Let $$n\ge 2$$, $$1\le m\le n$$, and assume that $$\Omega \subset {\mathbb {C}}^n$$ is an m-hyperconvex domain and $$u_j,u\in {\mathcal {E}}_{p,m}(\Omega )$$ be such that $$\sup _je_{p,m}(u_j)<\infty$$. Then, if $$u_j\rightarrow u$$ in capacity $${\text {cap}}_m$$, then $${\text {H}}_{m}(u_j)\rightarrow {\text {H}}_{m}(u)$$ weakly, as $$j\rightarrow \infty$$.

### Proof

Set

\begin{aligned} A=e_{p,m}(u)+\sup _je_{p,m}(u_j)<\infty . \end{aligned}

Then for all kj, we have

\begin{aligned} e_{p,m}(\max (u_j,-k))\le D(p,m)^{\frac{m+p}{p}} e_{p,m}(u_j)\le D(m,p)^{\frac{m+p}{p}} A. \end{aligned}

Consider the following decomposition

\begin{aligned} {\text {H}}_{m}(u_j)-{\text {H}}_{m}(u)= & {} \left( {\text {H}}_{m}(u_j)-{\text {H}}_{m}(\max (u_j,-k))\right) \\&+\left( {\text {H}}_{m}(\max (u_j,-k))-{\text {H}}_{m}(\max (u,-k))\right) \\&+\left( {\text {H}}_{m}(\max (u,-k))-{\text {H}}_{m}(u)\right) \\= & {} \mu _{j,k}^1+\mu _{j,k}^2+\mu _{k}^3. \end{aligned}

Furthermore, since $$u_j\rightarrow u$$ in capacity $${\text {cap}}_m$$, then for all k we get $$\max (u_j,-k)\rightarrow \max (u,-k)$$, in capacity $${\text {cap}}_m$$. All functions are uniformly bounded, so by [30], $$\mu _{j,k}^2\rightarrow 0$$ weakly as $$j\rightarrow \infty$$. Since $$\max (u,-k)$$ is decreasing to u, as $$k\rightarrow \infty$$, and therefore $$\mu _k^3\rightarrow 0$$ weakly, as $$k\rightarrow \infty$$.

To finish the proof, we have to show that $$\mu _{j,k}^1\rightarrow 0$$, as $$k\rightarrow \infty$$ and uniformly on j. Let $$\alpha \in {\mathcal {C}}_0^{\infty }(\Omega )$$, and we shall use the temporary notation $$T_s=(dd^c\max (u_j,-k))^{m-s-1}\wedge \beta ^{n-m}$$. Then

\begin{aligned} \left| \int _{\Omega }\alpha \mu ^1_{j,k}\right|= & {} \left| \sum _{s=0}^{m-1}\int _{\Omega }\alpha (dd^cu_j)^s\wedge (dd^cu_j-dd^c\max (u_j,-k))\wedge T_s\right| \\\le & {} \Vert \alpha \Vert _{\infty }k^{-p}\sum _{s=0}^{m-1}\int _{\{u_j\le -k\}}(-u_j)^p(dd^cu_j)^{s+1}\wedge T_s \\&+\Vert \alpha \Vert _{\infty }k^{-p}\sum _{s=0}^{m-1}\int _{\{u_j\le -k\}}(-u_j)^p(dd^cu_j)^s\wedge (dd^c\max (u_j,-k))^{m-s}\wedge \beta ^{n-m}\\\le & {} \Vert \alpha \Vert _{\infty }k^{-p}\sum _{s=0}^{m-1}D(m,p)e_{p,m}(u_j)^{\frac{p+s+1}{p+m}}e_{p,m}(\max (u_j,-k))^{\frac{m-s-1}{p+m}} \\&+\Vert \alpha \Vert _{\infty }k^{-p}\sum _{s=0}^{m-1}D(m,p)e_{p,m}(u_j)^{\frac{p+s}{p+m}}e_{p,m}(\max (u_j,-k))^{\frac{m-s}{p+m}} \\\le & {} \Vert \alpha \Vert _{\infty }k^{-p}2mD(m,p)^{\frac{m+p}{p}}A\rightarrow 0, \end{aligned}

as $$k\rightarrow \infty$$. The convergence above is uniform in j. $$\square$$

### Proposition 4.5

Let $$n\ge 2$$, $$1\le m\le n$$, and assume that $$\Omega \subset {\mathbb {C}}^n$$ is an m-hyperconvex domain. If $${\text {J}}_p(u_j,u)\rightarrow 0$$, as $$j\rightarrow \infty$$, then $${\text {H}}_{m}(u_j)\rightarrow {\text {H}}_{m}(u)$$ weakly.

### Proof

Since

\begin{aligned} e_{p,m}(u_j)^{\frac{1}{p+m}}={\text {J}}_p(u_j,0)\le C({\text {J}}_p(u_j,u)+{\text {J}}_p(u,0)), \end{aligned}

it follows

\begin{aligned} e_{p,m}(u)+\sup _{j}e_{p,m}(u_j)<\infty . \end{aligned}

This proof is then concluded by Proposition 4.2, and Lemma 4.4. $$\square$$

## 5 A Comparison of Different Topologies

In this section, we begin by comparing the quasimetric space $$({\mathcal {E}}_{1,m}(\Omega ), {\text {J}}_1)$$ with the metric space $$({\mathcal {E}}_{1,m}(\Omega ),\mathbf{d})$$ studied in [8]. In the second part of this section, we show that the topology generated by $${\text {J}}_p$$ is not comparable with the topology generated by the subspace $$\mathcal {E}_{p,m}(\Omega )$$ of quasi-normed space $$(\delta \mathcal {E}_{p,m}(\Omega ), \Vert \cdot \Vert _p)$$ studied in [33]. The presentation of the latter part follows closely Sect. 7 of [8].

Let us first introduce the necessary definitions and notations and formulate the results that are relevant here. For further information, see [8].

### Definition 5.1

Let $$1\le m\le n$$, and let $$\Omega$$ be a bounded m-hyperconvex domain in $${\mathbb {C}}^n$$, $$n>1$$. Fix $$w\in {\mathcal {E}}_{1,m}(\Omega )$$, known as the weight, and define the weighted energy functional $${\text {E}}_{w}$$ by

\begin{aligned} {\mathcal {E}}_{1,m}(\Omega )\!\ni \! u\mapsto {\text {E}}_{w}(u)\!=\!\frac{1}{m\!+\!1}\sum _{j=0}^m\int _{\Omega }(u\!-\!w)(dd^cu)^j\wedge (dd^cw)^{m-j}\!\wedge \!\beta ^{n-m}\in {\mathbb {R}}.\nonumber \\ \end{aligned}
(5.1)

### Definition 5.2

Let $$n\ge 2$$, $$1\le m\le n$$, and assume that $$\Omega \subset {\mathbb {C}}^n$$ is an m-hyperconvex domain. Fix $$w,u,v\in {\mathcal {E}}_{1,m}(\Omega )$$. Let us define

\begin{aligned} \mathbf{d}(u,v)={\text {E}}_{w}(u)+{\text {E}}_{w}(v)-2{\text {E}}_{w}({\text {P}}(u,v)). \end{aligned}

### Theorem 5.3

Let $$n\ge 2$$, $$1\le m\le n$$, and let $$\Omega$$ be a bounded m-hyperconvex domain in $${\mathbb {C}}^n$$. Then the tuple $$({\mathcal {E}}_{1,m}(\Omega ),\mathbf{d})$$ is a complete metric space.

### Proof

See Theorem 5.3 in [8]. $$\square$$

Now we are in position to compare the metric $$\mathbf{d}$$ with the quasimetric $${\text {J}}_1$$.

### Theorem 5.4

Let $$n\ge 2$$, $$1\le m\le n$$, and assume that $$\Omega \subset {\mathbb {C}}^n$$ is an m-hyperconvex domain. Then for $$u,v\in {\mathcal {E}}_{1,m}(\Omega )$$ it holds

\begin{aligned} \frac{1}{2^{m+2}C^{m+1}(m+1)}{\text {J}}_1(u,v)^{m+1}\le \mathbf{d}(u,v)\le {\text {J}}_1(u,v)^{m+1}, \end{aligned}

where C is a constant from quasi-triangle inequality.

### Proof

Let $$u,v\in {\mathcal {E}}_{1,m}(\Omega )$$. Note that $$\{{\text {P}}(u,v)=u\}\subset \{u\le v\}$$ and $$\{{\text {P}}(u,v)=v\}\subset \{v\le u\}$$. Then we obtain by Theorem 3.3 and [8, Proposition 3.3]

\begin{aligned} \mathbf{d}(u,v)= & {} {\text {E}}_{w}(u)-{\text {E}}_{w}({\text {P}}(u,v))+{\text {E}}_{w}(v)-{\text {E}}_{w}({\text {P}}(u,v)) \\\le & {} \int _{\Omega }(u-{\text {P}}(u,v)){\text {H}}_{m}({\text {P}}(u,v))+\int _{\Omega }(v-{\text {P}}(u,v)){\text {H}}_{m}({\text {P}}(u,v))\\= & {} \int _{\{{\text {P}}(u,v)<u\}}(u-{\text {P}}(u,v))(\chi _{\{{\text {P}}(u,v)=v\}}{\text {H}}_{m}(v)+\chi _{\{{\text {P}}(u,v)=u\}}{\text {H}}_{m}(u))\\&+\int _{\{{\text {P}}(u,v)<v\}}(v-{\text {P}}(u,v))(\chi _{\{{\text {P}}(u,v)=v\}}{\text {H}}_{m}(v)+\chi _{\{{\text {P}}(u,v)=u\}}{\text {H}}_{m}(u))\\\le & {} \int _{\{{\text {P}}(u,v)<u\}\cap \{{\text {P}}(u,v)=v\}}(u-{\text {P}}(u,v)){\text {H}}_{m}(v)\\&+\int _{\{{\text {P}}(u,v)<v\}\cap \{{\text {P}}(u,v)=u\}}(v-{\text {P}}(u,v)){\text {H}}_{m}(u)\\\le & {} \int _{\{v<u\}}(u-v){\text {H}}_{m}(v)+\int _{\{u<v\}}(v-u){\text {H}}_{m}(u) \\\le & {} \int _{\{v<u\}}(u-v)({\text {H}}_{m}(v)+{\text {H}}_{m}(u))+\int _{\{u<v\}}(v-u)({\text {H}}_{m}(u)+{\text {H}}_{m}(v))\\= & {} {\text {J}}_1(u,v)^{m+1}. \end{aligned}

Thanks to Proposition 3.4 (6), the quasi-triangle inequality, and [8, Proposition 3.3] we get

\begin{aligned} \mathbf{d}(u,v)= & {} {\text {E}}_{w}(u)-{\text {E}}_{w}({\text {P}}(u,v))+{\text {E}}_{w}(v)-{\text {E}}_{w}({\text {P}}(u,v)) \\\ge & {} \frac{1}{m+1}\int _{\Omega }(u-{\text {P}}(u,v)){\text {H}}_{m}({\text {P}}(u,v))+\frac{1}{m+1}\int _{\Omega }(v-{\text {P}}(u,v)){\text {H}}_{m}({\text {P}}(u,v))\\\ge & {} \frac{1}{2(m+1)}{\text {J}}_1(u,{\text {P}}(u,v))^{m+1}+\frac{1}{2(m+1)}{\text {J}}_1(v,{\text {P}}(u,v))^{m+1} \\\ge & {} \frac{1}{2^{m+2}(m+1)}\left( {\text {J}}_1(u,{\text {P}}(u,v)) +{\text {J}}_1(v,{\text {P}}(u,v))\right) ^{m+1}\\\ge & {} \frac{1}{2^{m+2}C^{m+1}(m+1)}{\text {J}}_1(u,v)^{m+1}. \end{aligned}

$$\square$$

Now to the second part of this section. Let us start here with a brief introduction. We start by defining

\begin{aligned} \delta {\mathcal {E}}_{p,m}(\Omega )={\mathcal {E}}_{p,m}(\Omega )-{\mathcal {E}}_{p,m}(\Omega ), \end{aligned}

since $${\mathcal {E}}_{p,m}(\Omega )$$ is only a convex cone. Then for any $$u\in \delta {\mathcal {E}}_{p,m}(\Omega )$$ we define

\begin{aligned} \Vert u\Vert _p=\inf _{\begin{array}{c} u_1-u_2=u \\ u_1,u_2\in \mathcal {E}_{p,m}(\Omega ) \end{array}}\left( \int _{\Omega } (-(u_1+u_2))^p{\text {H}}_m(u_1+u_2) \right) ^{\frac{1}{m+p}}. \end{aligned}

It was proved in [33] that $$(\delta \mathcal {E}_{p,m}(\Omega ), \Vert \cdot \Vert _p)$$ is a quasi-Banach space, i.e., it is complete quasi-normed vector space (for the case $$m=n$$ see [4]). Recall that $$\Vert \cdot \Vert _p$$ is a quasinorm if the following holds:

1. (1)

$$\Vert u\Vert _p=0$$ if, and only if, $$u=0$$;

2. (2)

$$\Vert tu\Vert _p=|t| \Vert u\Vert _p$$;

3. (3)

it satisfies quasi-triangle inequality

\begin{aligned} \Vert u+v\Vert _p\le C(\Vert u\Vert _p+\Vert v\Vert _p), \end{aligned}

for some constant $$C\ge 1$$.

Furthermore, if $$u\in {\mathcal {E}}_{p,m}(\Omega )$$, then $$\Vert u\Vert _p=e_{p,m}(u)^{\frac{1}{p+m}}$$.

### Example 5.5

There is no constant $$C>0$$ such that $${\text {J}}_p(u,v)\le C\Vert u-v\Vert _p$$. See Example 7.1 in [8].

### Example 5.6

There is no constant $$C>0$$ such that $$\Vert u-v\Vert _p\le C{\text {J}}_p(u,v)$$. See Example 7.2 in [8].

## 6 Stability of the Complex Hessian Operator

Let

\begin{aligned} \begin{aligned} \mathcal {M}_{p,m}&=\big \{\mu \; :\; \mu \text { is a non-negative Radon measure on } \Omega \text { such that }\\&\quad {\text {H}}_{m}(u)=\mu \text { for some } u\in {\mathcal {E}}_{p,m}\big \}, \end{aligned} \end{aligned}

and recall the following characterization of $$\mathcal {M}_{p,m}$$:

1. (1)

$$\mu \in \mathcal {M}_{p,m}$$;

2. (2)

there exists a constant $$A\ge 0$$ such that

\begin{aligned} \int _{\Omega }(-u)^p\,d\mu \le A\, e_{p,m}(u)^{\frac{p}{p+m}}\quad \text { for all } u\in {\mathcal {E}}_{p,m}(\Omega )\, ; \end{aligned}
3. (3)

$${\mathcal {E}}_{p,m}(\Omega )\subset L^p(\mu )$$;

4. (4)

there exists unique function $$U(\mu )\in {\mathcal {E}}_{p,m}(\Omega )$$ the solution to the Dirichlet problem for the complex Hessian equation $${\text {H}}_{m}(U(\mu ))=\mu$$,

(see [15, 30] for details).

In this section, we shall prove some new stability results for the complex Hessian operator. For previous results concerning stability of the complex Monge–Ampère equation or the complex Hessian equation, see, e.g., [16, 19, 34]. In those papers, the authors proved that under some assumption if $$\mu _j$$ converges to $$\mu$$, then the corresponding solutions $$U(\mu _j)$$ converges to $$U(\mu )$$ in capacity. Our goal is to prove that the convergence is stronger in the sense that $${\text {J}}_p(U(\mu _j),U(\mu ))\rightarrow 0$$.

### Lemma 6.1

Let $$n\ge 2$$, $$1\le m\le n$$, and assume that $$\Omega \subset {\mathbb {C}}^n$$ is an m-hyperconvex domain. Let $$\mu \in \mathcal {M}_{p,m}$$. Then for any $$\nu \le \mu$$ it holds:

\begin{aligned} e_{p,m}(U(\nu ))\le D(p,m)^{\frac{m+p}{p}}e_{p,m}(U(\mu )). \end{aligned}

### Proof

The desired inequality follows from the following estimation

\begin{aligned} e_{p,m}(U(\nu ))= & {} \int _{\Omega }(-U(\nu ))^p{\text {H}}_{m}(U(\nu ))=\int _{\Omega }(-U(\nu ))^p\mathrm{{d}}\nu \le \int _{\Omega }(-U(\nu ))^p\mathrm{{d}}\mu \\= & {} \int _{\Omega }(-U(\nu ))^p{\text {H}}_{m}(U(\mu ))\le D(m,p)e_{p,m}(U(\nu ))^{\frac{p}{p+m}}e_{p,m}(U(\mu ))^{\frac{m}{m+p}}. \end{aligned}

$$\square$$

### Definition 6.2

A fundamental sequence $$\Omega _{j}$$, $$j\in {\mathbb {N}}$$, is an increasing sequence of m-hyperconvex subsets of $$\Omega \subset {\mathbb {C}}^n$$, $$n\ge 2$$, such that for every $$j\in {\mathbb {N}}$$, we have that, $$\Omega _{j}\Subset \Omega _{j+1}$$, and $$\bigcup _{j=1}^{\infty }\Omega _{j}=\Omega$$.

The main result in this section is the following stability theorem.

### Theorem 6.3

Let $$n\ge 2$$, $$1\le m\le n$$, and assume that $$\Omega \subset {\mathbb {C}}^n$$ is an m-hyperconvex domain and let $$\mu \in \mathcal {M}_{p,m}$$. If $$0\le f, f_j\le 1$$ are measurable functions such that $$f_j\rightarrow f$$ in $$L^1_{loc}(\mu )$$, as $$j\rightarrow \infty$$, then $${\text {J}}_p(U(f_j\mu ), U(f\mu ))\rightarrow 0$$.

### Proof

Fix $$\mu \in \mathcal {M}_{p,m}$$. From the Cegrell–Lebesgue decomposition theorem (see [15, 30]), it follows that there exist $$\varphi \in {\mathcal {E}}_{0,m}(\Omega )$$, $$\Vert \varphi \Vert _{\infty }\le 1$$, and $$g\ge 0$$ such that $$g{\text {H}}_{m}(\varphi )=\mu$$. Fix a fundamental sequence $$\Omega _j$$. For $$j,k\in {\mathbb {N}}$$, let us define the following functions:

\begin{aligned}&w=U(\mu )\in {\mathcal {E}}_{p,m}(\Omega ): \ \&{\text {H}}_{m}(w)=\mu ; \\&u=U(f\mu )\in {\mathcal {E}}_{p,m}(\Omega ): \ \&{\text {H}}_{m}(u)=f\mu ;\\&u_j=U(f_j\mu )\in {\mathcal {E}}_{p,m}(\Omega ): \ \&{\text {H}}_{m}(u_j)=f_j\mu ; \\&u_{j,k}\in {\mathcal {E}}_{p,m}(\Omega ): \ \&{\text {H}}_{m}(u_{j,k})=\chi _{\Omega _k}f_j\min (g,k){\text {H}}_{m}(\varphi ); \\&v_{j,k}\in {\mathcal {E}}_{p,m}(\Omega ): \ \&{\text {H}}_{m}(v_{j,k})=\chi _{\Omega _k}f_j\mu ; \\&w_{k}\in {\mathcal {E}}_{p,m}(\Omega ): \ \&{\text {H}}_{m}(w_{k})=\chi _{\Omega _k}f\min (g,k){\text {H}}_{m}(\varphi ); \\&v_{k}\in {\mathcal {E}}_{p,m}(\Omega ): \ \&{\text {H}}_{m}(v_{k})=(1-\chi _{\Omega _k})\mu ; \\&\psi _{k}\in {\mathcal {E}}_{p,m}(\Omega ): \ \&{\text {H}}_{m}(\psi _{k})=(g-\min (g,k)){\text {H}}_{m}(\varphi ). \\ \end{aligned}

Since,

\begin{aligned} {\text {J}}_p(u,u_j)\le C^3({\text {J}}_p(u,w_k)+{\text {J}}_p(w_k,u_{j,k})+{\text {J}}_p(u_{j,k},v_{j,k})+{\text {J}}_p(v_{j,k},u_j)),\nonumber \\ \end{aligned}
(6.1)

it is enough to prove that each term in (6.1) tends to zero to complete the proof.

Claim 1. $${\text {J}}_p(u,w_k)\rightarrow 0$$, as $$k\rightarrow \infty$$. This follows because $$w_k$$ is a decreasing sequence tending to u, as $$k\rightarrow \infty$$.

Claim 2. For fixed k, we have that $${\text {J}}_p(w_k,u_{j,k})\rightarrow 0$$, as $$j\rightarrow \infty$$. To prove this, first note that the functions $$w_k$$ and $$u_{j,k}$$ are uniformly bounded by $$k^{\frac{1}{m}}$$, and therefore, it follows

\begin{aligned} {\text {J}}_p(w_k,u_{j,k})^{p+m}= & {} \int _{\Omega }|w_k-u_{j,k}|^p({\text {H}}_{m}(w_k)+{\text {H}}_{m}(u_{j,k}))\\= & {} \int _{\{w_k<u_{j,k}\}}(u_{j,k}-w_k)^p\chi _{\Omega _k}(f_j+f)\min (g,k){\text {H}}_{m}(\varphi )\\&+\int _{\{w_k>u_{j,k}\}}(w_k-u_{j,k})^p\chi _{\Omega _k}(f_j+f)\min (g,k){\text {H}}_{m}(\varphi ) \\\le & {} 2k\int _{\{w_k<u_{j,k}\}}(u_{j,k}-w_k)^p{\text {H}}_{m}(\varphi )+2k\int _{\{w_k>u_{j,k}\}}(w_k-u_{j,k})^p{\text {H}}_{m}(\varphi ). \end{aligned}

Now assume that $$p\le m$$. Then we can continue our estimate by using the Hölder inequality. By [34], we get

\begin{aligned}&\int _{\{w_k<u_{j,k}\}}(u_{j,k}-w_k)^p{\text {H}}_{m}(\varphi )\\&\quad \le \left( \int _{\{w_k<u_{j,k}\}}(u_{j,k}-w_k)^m{\text {H}}_{m}(\varphi )\right) ^{\frac{p}{m}}({\text {H}}_{m}(\varphi )(\Omega ))^{\frac{m-p}{m}}\\&\quad \le ({\text {H}}_{m}(\varphi )(\Omega ))^{\frac{m-p}{m}}\left( m!\int _{\{w_k<u_{j,k}\}}(-\varphi )({\text {H}}_{m}(w_k)-{\text {H}}_{m}(u_{j,k}))\right) ^{\frac{p}{m}} \\&\quad \le ({\text {H}}_{m}(\varphi )(\Omega ))^{\frac{m-p}{m}}\left( m!\int _{\Omega _k}|f_j-f|d\mu \right) ^{\frac{p}{m}}\rightarrow 0, \text { as } j\rightarrow \infty . \end{aligned}

In a similar way, one can prove

\begin{aligned} \int _{\{w_k>u_{j,k}\}}(w_k-u_{j,k})^p{\text {H}}_{m}(\varphi )\le ({\text {H}}_{m}(\varphi )(\Omega ))^{\frac{m-p}{m}}\left( m!\int _{\Omega _k}|f_j-f|d\mu \right) ^{\frac{p}{m}}\rightarrow 0, \end{aligned}

as $$j\rightarrow \infty$$. If $$p>m$$, then one can repeat the above argument using the fact

\begin{aligned} |u_{j,k}-w_k|^p\le (2k^{\frac{1}{m}})^{p-m}|u_{j,k}-w_k|^m. \end{aligned}

Claim 3. $${\text {J}}_p(v_{j,k},u_{j,k})\rightarrow 0$$, as $$k\rightarrow \infty$$, and the convergence is uniform on j. Since

\begin{aligned} {\text {H}}_{m}(v_{j,k})= & {} \chi _{\Omega _k}f_jg{\text {H}}_{m}(\varphi ) \\\le & {} \chi _{\Omega _k}f_j\min (g,k){\text {H}}_{m}(\varphi )+(g-\min (g,k)){\text {H}}_{m}(\varphi )\\= & {} {\text {H}}_{m}(u_{j,k})+{\text {H}}_{m}(\psi _k)\le {\text {H}}_{m}(u_{j,k}+\psi _k), \end{aligned}

we have that $$u_{j,k}+\psi _k\le v_{j,k}$$. Furthermore, $$u_{j,k}\ge v_{j,k}$$, and $$\psi _k$$ is a increasing sequence such that

\begin{aligned} e_{p,m}(\psi _k)= & {} \int _{\Omega }(-\psi _k)^p{\text {H}}_{m}(\psi _k)=\int _{\Omega }(-\psi _k)^p(g-\min (g,k)){\text {H}}_{m}(\varphi )\\\le & {} \int _{\Omega }(-\psi _1)^p(g-\min (g,k)){\text {H}}_{m}(\varphi )\rightarrow 0, \ k\rightarrow \infty , \end{aligned}

by dominated convergence theorem. Finally,

\begin{aligned} {\text {J}}_p(v_{j,k},u_{j,k})^{p+m}= & {} \int _{\Omega }|v_{j,k}-u_{j,k}|^p({\text {H}}_{m}(v_{j,k})+{\text {H}}_{m}(u_{j,k})) \\\le & {} 2\int _{\Omega }(u_{j,k}-v_{j,k})^p{\text {H}}_{m}(w)\le 2\int _{\Omega }(-\psi _k)^p{\text {H}}_{m}(w)\\\le & {} 2D(m,p)e_{p,m}(\psi _k)^{\frac{p}{m+p}}e_{p,m}(w)^{\frac{m}{m+p}}\rightarrow 0, \end{aligned}

as $$k\rightarrow \infty$$. The convergence is as well uniform in j.

Claim 4. $${\text {J}}_p(v_{j,k},u_{j})\rightarrow 0$$, as $$k\rightarrow \infty$$, and the convergence is uniform on j. The proof of Claim 4 follows that of Claim 3. Observe that

\begin{aligned} {\text {H}}_{m}(u_{j})= & {} f_j\mu \le (1-\chi _{\Omega _k})\mu +f_j\chi _{\Omega _k}\mu \\= & {} {\text {H}}_{m}(v_k)+{\text {H}}_{m}(v_{j,k})\le {\text {H}}_{m}(v_k+v_{j,k}), \end{aligned}

which implies that $$v_k+v_{j,k}\le u_{j}$$. Furthermore, $$u_{j}\le v_{j,k}$$, and $$v_k$$ is increasing sequence such that

\begin{aligned} e_{p,m}(v_k)= & {} \int _{\Omega }(-v_k)^p{\text {H}}_{m}(v_k)=\int _{\Omega }(-v_k)^p(1-\chi _{\Omega _k})\mu \\\le & {} \int _{\Omega }(-v_1)^p(1-\chi _{\Omega _k})\mu \rightarrow 0, \ k\rightarrow \infty , \end{aligned}

by dominated convergence theorem. Finally,

\begin{aligned} {\text {J}}_p(v_{j,k},u_{j})^{p+m}= & {} \int _{\Omega }|v_{j,k}-u_{j}|^p({\text {H}}_{m}(v_{j,k})+{\text {H}}_{m}(u_{j})) \\\le & {} 2\int _{\Omega }(v_{j,k}-u_{j})^p{\text {H}}_{m}(w)\le 2\int _{\Omega }(-v_k)^p{\text {H}}_{m}(w) \\\le & {} 2D(m,p)e_{p,m}(v_k)^{\frac{p}{m+p}}e_{p,m}(w)^{\frac{m}{m+p}}\rightarrow 0, \ k\rightarrow \infty , \end{aligned}

the convergence is uniform in j. $$\square$$

## 7 The Compact Kähler Manifold Case

Let $$n\ge 2$$, $$p>0$$, and let $$1\le m\le n$$. Assume that $$(X,\omega )$$ is a connected and compact Kähler manifold of complex dimension n, where $$\omega$$ is a Kähler form on X such that $$\int _{X}\omega ^n=1$$. In a similar way as in Sect. 3, we define a quasimetric, $$I_p$$, for $$(\omega ,m)$$-subharmonic functions (for the case $$m=n$$, see [25]). For further information concerning $$(\omega ,m)$$-subharmonic function ($$\mathcal {SH}_m(X,\omega )$$) on compact Kähler manifold, see, e.g., [7, 21, 25, 31].

For any $$u\in \mathcal {SH}_m(X,\omega )$$, let

\begin{aligned} \omega _u=dd^cu+\omega . \end{aligned}

The complex Hessian operator is defined on $$(\omega ,m)$$-subharmonic functions through the following construction: First assume that $$u\in \mathcal {SH}_m(X,\omega )\cap L^{\infty }(X)$$, then

\begin{aligned} {\text {H}}_m(u):=\omega _u^m\wedge \omega ^{n-m}, \end{aligned}

which is a non-negative (regular) Borel measure defined on X. For an arbitrary, not necessarily bounded, $$(\omega ,m)$$-subharmonic function u let $$u_j=\max (u,-j)$$ be the canonical approximation of u. Then define

\begin{aligned} {\text {H}}_m(u):=\lim _{j\rightarrow \infty }\chi _{\{u>-j\}}{\text {H}}_m(u_j). \end{aligned}

We define the class of $$(\omega ,m)$$-subharmonic functions with bounded (pm)-energy as

\begin{aligned} {\mathcal {E}}_{p,m}(X,\omega ):=\left\{ u\in {\mathcal {E}}_m(X,\omega ): u\le 0, \int _X(-u)^p{\text {H}}_m(u)<\infty \right\} , \end{aligned}

where

\begin{aligned} {\mathcal {E}}_m(X,\omega )=\left\{ u\in \mathcal {SH}_m(X,\omega ): \int _X{\text {H}}_m(u)=1 \right\} . \end{aligned}

For the counterparts of Theorems 2.1,  2.2, and the approximation theorem for $$(\omega ,m)$$-subharmonic functions defined on compact Kähler manifolds, we refer to [7, 21, 25, 31, 32].

The following definition is the counterpart of $${\text {J}}_p$$ in Definition 3.1.

### Definition 7.1

Let $$n\ge 2$$, $$p>0$$, and let $$1\le m\le n$$. For $$u,v\in {\mathcal {E}}_{p,m}(X,\omega )$$ and we define

\begin{aligned} {\text {I}}_p(u,v)=\left( \int _{X}|u-v|^p({\text {H}}_{m}(u)+{\text {H}}_{m}(v))\right) ^{\frac{1}{p+m}}. \end{aligned}

### Remark

Note that it follows from [7, Lemma 3.5] that the functional $${\text {I}}_p$$ is well defined.

The aim of this section is to prove that $$({\mathcal {E}}_{p,m}(X,\omega ),{\text {I}}_p)$$ is a complete quasimetric space.

### Theorem 7.2

The pair $$({\mathcal {E}}_{p,m}(X,\omega ),{\text {I}}_p)$$ is a quasimetric space.

### Proof

First assume that $$u,v\in {\mathcal {E}}_{p,m}(X,\omega )$$, and $${\text {I}}_p(u,v)=0$$. Then $${\text {H}}_m(u)(\{u<v\})=0$$, and by [31, Theorem 3.15] we get $$u\ge v$$. In a similar way, we can obtain that $$v\ge u$$. Hence, $$u=v$$. The quasi-triangle inequality follows in the same way as in Lemma 3.5. $$\square$$

We shall need the counterpart of Proposition 2.4.

### Proposition 7.3

Let $$u,v\in {\mathcal {E}}_{p,m}(X,\omega )$$.

1. (1)

If $$u\le v$$, then

\begin{aligned} \int _{X}(v-u)^p{\text {H}}_{m}(v)\le \int _{X}(v-u)^p{\text {H}}_{m}(u). \end{aligned}
2. (2)

Without any additional assumption on u, and v, it holds

\begin{aligned} \int _{\{u<v\}}(v-u)^p{\text {H}}_{m}(v)\le \int _{\{u<v\}}(v-u)^p{\text {H}}_{m}(u). \end{aligned}

### Proof

(1) First assume that $$u<v$$. Then for any positive current T it holds

\begin{aligned}&\int _X(v-u)^p\omega _u\wedge T-\int _X(v-u)^p\omega _v\wedge T\\&\quad =p\int _X(v-u)^{p-1}d(v-u)\wedge d^c(v-u)\wedge T\ge 0. \end{aligned}

Now, let $$\epsilon <1$$, then $$u\le v<\epsilon v$$. We obtain

\begin{aligned} \epsilon \int _X(\epsilon v-u)^p\omega _v\wedge T\le \int _X(\epsilon v-u)^p\omega _{\epsilon v}\wedge T\le \int _X(\epsilon v-u)^p\omega _u\wedge T, \end{aligned}

so by the monotone convergence theorem, and letting $$\epsilon \rightarrow 1^-$$, we arrive ay

\begin{aligned} \int _X(v-u)^p\omega _v\wedge T\le \int _X(v-u)^p\omega _v\wedge T. \end{aligned}

Repeating the above argument m-times we get

\begin{aligned} \int _{X}(v-u)^p{\text {H}}_{m}(v)\le \int _{X}(v-u)^p{\text {H}}_{m}(u). \end{aligned}

(2) This part follows now in a similar manner as in Proposition 2.4. $$\square$$

### Corollary 7.4

Let $$u,u_j,v\in {\mathcal {E}}_{p,m}(X,\omega )$$.

1. (1)

If $$u\le v$$, then

\begin{aligned} 2\int _X(u-v)^p{\text {H}}_{m}(v)\le {\text {I}}_p(u,v)^{p+m}\le 2\int _X(u-v)^p{\text {H}}_{m}(u). \end{aligned}
2. (2)

If $$u_j\searrow u$$, $$j\rightarrow \infty$$, then $${\text {I}}_p(u_j,u)\rightarrow 0$$.

We end this paper with the main result of the compact Kähler case.

### Theorem 7.5

The pair $$({\mathcal {E}}_{p,m}(X,\omega ),{\text {I}}_p)$$ is a complete quasimetric space.

### Proof

Theorem 7.2 gives that $$({\mathcal {E}}_{p,m}(X,\omega ),{\text {I}}_p)$$ is a quasimetric space, and the completeness can be proved in exactly the same way as in Theorem 3.9. $$\square$$