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anonymous
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  • $\alpha$ denote Kuratowski's measure of noncompactness; defined on a metric space $(X,d)$ by $$\alpha(M) = \sup \{ \delta > 0 \colon \exists_{M_1, \dotsc, M_n \subset M} \colon M \subseteq \bigcup_{i=1}^n M_i\text, \operatorname{diam}(M_i) \le \delta\}$$ for any $M \subset X$ where $\operatorname{diam}(M) = \sup \{ d(x,y) \colon x, y \in y \}$.
  • $\beta$ denote Istrățescu's spreading measure of noncompactness; defined on a metric space $(X,d)$ by $$\beta(M) = \sup \{ \varepsilon > 0 \colon \exists_{(x_n)^{\mathbb N} \in X^{\mathbb N}} \forall_{m \ne n} \colon d(x_n,d_m) > \varepsilon \}$$$$\beta(M) = \sup \{ \varepsilon > 0 \colon \exists_{(x_n)^{\mathbb N} \in X^{\mathbb N}} \forall_{m \ne n} \colon d(x_n,x_m) > \varepsilon \}$$ for any $M \subset X$,
  • $\gamma$ denote Hausdorff's measure of noncompactness; defined on a metric space $(X,d)$ by $$\gamma(M) = \sup \{ \varepsilon > 0 \colon \exists_{x_1, \dotsc, x_n \in X} \colon M \subseteq \bigcup_{i=1}^n B(x_i,\varepsilon) \}$$ for any $M \subset X$ where $B(x,\varepsilon) = \{ y \in X \colon d(x,y) < \varepsilon \}$, and
  • $\alpha$ denote Kuratowski's measure of noncompactness; defined on a metric space $(X,d)$ by $$\alpha(M) = \sup \{ \delta > 0 \colon \exists_{M_1, \dotsc, M_n \subset M} \colon M \subseteq \bigcup_{i=1}^n M_i\text, \operatorname{diam}(M_i) \le \delta\}$$ for any $M \subset X$ where $\operatorname{diam}(M) = \sup \{ d(x,y) \colon x, y \in y \}$.
  • $\beta$ denote Istrățescu's spreading measure of noncompactness; defined on a metric space $(X,d)$ by $$\beta(M) = \sup \{ \varepsilon > 0 \colon \exists_{(x_n)^{\mathbb N} \in X^{\mathbb N}} \forall_{m \ne n} \colon d(x_n,d_m) > \varepsilon \}$$ for any $M \subset X$,
  • $\gamma$ denote Hausdorff's measure of noncompactness; defined on a metric space $(X,d)$ by $$\gamma(M) = \sup \{ \varepsilon > 0 \colon \exists_{x_1, \dotsc, x_n \in X} \colon M \subseteq \bigcup_{i=1}^n B(x_i,\varepsilon) \}$$ for any $M \subset X$ where $B(x,\varepsilon) = \{ y \in X \colon d(x,y) < \varepsilon \}$, and
  • $\alpha$ denote Kuratowski's measure of noncompactness; defined on a metric space $(X,d)$ by $$\alpha(M) = \sup \{ \delta > 0 \colon \exists_{M_1, \dotsc, M_n \subset M} \colon M \subseteq \bigcup_{i=1}^n M_i\text, \operatorname{diam}(M_i) \le \delta\}$$ for any $M \subset X$ where $\operatorname{diam}(M) = \sup \{ d(x,y) \colon x, y \in y \}$.
  • $\beta$ denote Istrățescu's spreading measure of noncompactness; defined on a metric space $(X,d)$ by $$\beta(M) = \sup \{ \varepsilon > 0 \colon \exists_{(x_n)^{\mathbb N} \in X^{\mathbb N}} \forall_{m \ne n} \colon d(x_n,x_m) > \varepsilon \}$$ for any $M \subset X$,
  • $\gamma$ denote Hausdorff's measure of noncompactness; defined on a metric space $(X,d)$ by $$\gamma(M) = \sup \{ \varepsilon > 0 \colon \exists_{x_1, \dotsc, x_n \in X} \colon M \subseteq \bigcup_{i=1}^n B(x_i,\varepsilon) \}$$ for any $M \subset X$ where $B(x,\varepsilon) = \{ y \in X \colon d(x,y) < \varepsilon \}$, and
Whether the operator is condensing is the wrong question (it would start to make sense once we compose it with something to form a self-map)
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Noncompactness of the Sobolev embedding: Operator condensing in the critical exponent case?

We are not Omega
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anonymous
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  • The essential operator norm $\operatorname{ess}\|T\|$ of an operator $T$ is the quotient norm in the space of bounded operators with the compact operators factored out. It satisfies $$ [T]_\phi \le \operatorname{ess}\|T\| \le \|T\| $$ (examples show that each inequality can be strict).

  • We have $[I \colon W^k_p \to L_p]_\gamma = \operatorname{ess}\|I \colon W^k_p \to L_p \|$ whenever the embedding is continuous (i.e., the smoothness of the boundary suffices for $k$). If this holds also for $q \ne p$, I do not know. [1; Theorem 3]

  • We have $$[I \colon W^k_p \to L_q/P_0]_\gamma = \limsup_{\lambda(D) \to 0} \sup_{\|u\|_{W^k_p} = 1} \|u\|_{L_q(D)}$$ whenever the embedding is continuous (i.e., the smoothness of the boundary suffices for $k$ and $q$ is not too large); here, $P_0$ denotes the space of constant functions and $\lambda$ stands for the $n$-dimensional Lebesgue measure. [1; Theorem 1]

  • We have $$[I \colon W^1_2 \to L_2]_\gamma = \lim_{\varepsilon \to 0} \sup_{\|u\|_{W^1_2} = 1} \|u\|_{L_2(\Omega_\varepsilon)}$$ with $\Omega_\varepsilon = \{ x \in \Omega \colon d(x, \partial \Omega) < \varepsilon \}$. If this holds for more general $p$ and $q$ I do not know. [2; Theorem 4] [1; Remark 3].

  • Whenever we have the Poincaré-type inequality $$ \|u - u_\Omega\|_{L_p} \le k \|\nabla u\|_{L_p} $$ with $u_\Omega = \int_\Omega u$ for every $u \in W^1_p$, then we have the bounds $$[I \colon W^1_p \to L_p]_\beta \le \left( 1 - \frac 1{1+k^p} \right)^{1/p}$$ and $$[I \colon W^1_p \to L_p]_\gamma = \operatorname{ess}\|I \colon W^1_p \to L_p \| \le \left( 1 - \frac 1{1+2^{p-1}k^p} \right)^{1/p}$$ with the same $k$. If this holds also for $q \ne p$, I do not know. [1; Theorem 4, Remark 4]

  • For the related space $L^1_p$ of distributions with derivatives in $L_p$, equipped with the norm $\|u\|_{L^1_p} = \|\nabla u\|_{L_p} + \|u\|_{L_p(\omega)}$, where $\omega$ is a non-empty open subset of $\Omega$ with $\bar \omega \subset \Omega$ and $\partial \Omega$ is $C^1$-smooth, we have $$\operatorname{ess}\|I \colon L^1_p \to L_{p^*}\| = \lim_{\varepsilon \to 0} \sup_{\substack{\|u\|_{L^1_p} = 1\\\text{$u = 0$ on $\Omega \setminus \Omega_\varepsilon$}}} \|u\|_{L_{p^*}} = \lim_{\rho \to 0} \sup_{x \in \partial \Omega} \sup_{\substack{\|u\|_{L^1_p} = 1\\\operatorname{supp} u \subset B(x, \rho)}} \|u\|_{L_{p^*}} $$ and $$\operatorname{ess}\|I \colon L^1_p \to L_{p^*}\| = 2^{1/n} c(p,n)$$ where $c(p,n)$ is the best constant in the Sobolev inequality $$ \|u\|_{L_{p^*}(\mathbb R^n)} \le c \|\nabla u\|_{L_p(\mathbb R^n)} $$ [3; Theorem 8.3].

Edit: If we have$\Omega$ has a $C^1$ boundary (which seems rather restrictive; one would expect this to hold for any extension domain), then [3; Theorem 8.3] thus tells us at least $$ [I \colon W^1_p \to L_{p^*}]_\phi \le \underbrace{\|I \colon W^1_p \to L^1_p \|}_1 [I \colon L^1_p \to L_{p^*}]_\phi \le \operatorname{ess}\|I \colon L^1_p \to L_{p^*}\| = 2^{1/n} c(p,n)\text. $$

  • The essential operator norm $\operatorname{ess}\|T\|$ of an operator $T$ is the quotient norm in the space of bounded operators with the compact operators factored out. It satisfies $$ [T]_\phi \le \operatorname{ess}\|T\| \le \|T\| $$ (examples show that each inequality can be strict).

  • We have $[I \colon W^k_p \to L_p]_\gamma = \operatorname{ess}\|I \colon W^k_p \to L_p \|$ whenever the embedding is continuous (i.e., the smoothness of the boundary suffices for $k$). If this holds also for $q \ne p$, I do not know. [1; Theorem 3]

  • We have $$[I \colon W^k_p \to L_q/P_0]_\gamma = \limsup_{\lambda(D) \to 0} \sup_{\|u\|_{W^k_p} = 1} \|u\|_{L_q(D)}$$ whenever the embedding is continuous (i.e., the smoothness of the boundary suffices for $k$ and $q$ is not too large); here, $P_0$ denotes the space of constant functions and $\lambda$ stands for the $n$-dimensional Lebesgue measure. [1; Theorem 1]

  • We have $$[I \colon W^1_2 \to L_2]_\gamma = \lim_{\varepsilon \to 0} \sup_{\|u\|_{W^1_2} = 1} \|u\|_{L_2(\Omega_\varepsilon)}$$ with $\Omega_\varepsilon = \{ x \in \Omega \colon d(x, \partial \Omega) < \varepsilon \}$. If this holds for more general $p$ and $q$ I do not know. [2; Theorem 4] [1; Remark 3].

  • Whenever we have the Poincaré-type inequality $$ \|u - u_\Omega\|_{L_p} \le k \|\nabla u\|_{L_p} $$ with $u_\Omega = \int_\Omega u$ for every $u \in W^1_p$, then we have the bounds $$[I \colon W^1_p \to L_p]_\beta \le \left( 1 - \frac 1{1+k^p} \right)^{1/p}$$ and $$[I \colon W^1_p \to L_p]_\gamma = \operatorname{ess}\|I \colon W^1_p \to L_p \| \le \left( 1 - \frac 1{1+2^{p-1}k^p} \right)^{1/p}$$ with the same $k$. If this holds also for $q \ne p$, I do not know. [1; Theorem 4, Remark 4]

  • For the related space $L^1_p$ of distributions with derivatives in $L_p$, equipped with the norm $\|u\|_{L^1_p} = \|\nabla u\|_{L_p} + \|u\|_{L_p(\omega)}$, where $\omega$ is a non-empty open subset of $\Omega$ with $\bar \omega \subset \Omega$ and $\partial \Omega$ is $C^1$-smooth, we have $$\operatorname{ess}\|I \colon L^1_p \to L_{p^*}\| = \lim_{\varepsilon \to 0} \sup_{\substack{\|u\|_{L^1_p} = 1\\\text{$u = 0$ on $\Omega \setminus \Omega_\varepsilon$}}} \|u\|_{L_{p^*}} = \lim_{\rho \to 0} \sup_{x \in \partial \Omega} \sup_{\substack{\|u\|_{L^1_p} = 1\\\operatorname{supp} u \subset B(x, \rho)}} \|u\|_{L_{p^*}} $$ and $$\operatorname{ess}\|I \colon L^1_p \to L_{p^*}\| = 2^{1/n} c(p,n)$$ where $c(p,n)$ is the best constant in the Sobolev inequality $$ \|u\|_{L_{p^*}(\mathbb R^n)} \le c \|\nabla u\|_{L_p(\mathbb R^n)} $$ [3; Theorem 8.3].

Edit: If we have a $C^1$ boundary (which seems rather restrictive; one would expect this to hold for any extension domain), then [3; Theorem 8.3] thus tells us at least $$ [I \colon W^1_p \to L_{p^*}]_\phi \le \underbrace{\|I \colon W^1_p \to L^1_p \|}_1 [I \colon L^1_p \to L_{p^*}]_\phi \le \operatorname{ess}\|I \colon L^1_p \to L_{p^*}\| = 2^{1/n} c(p,n)\text. $$

  • The essential operator norm $\operatorname{ess}\|T\|$ of an operator $T$ is the quotient norm in the space of bounded operators with the compact operators factored out. It satisfies $$ [T]_\phi \le \operatorname{ess}\|T\| \le \|T\| $$ (examples show that each inequality can be strict).

  • We have $[I \colon W^k_p \to L_p]_\gamma = \operatorname{ess}\|I \colon W^k_p \to L_p \|$ whenever the embedding is continuous (i.e., the smoothness of the boundary suffices for $k$). If this holds also for $q \ne p$, I do not know. [1; Theorem 3]

  • We have $$[I \colon W^k_p \to L_q/P_0]_\gamma = \limsup_{\lambda(D) \to 0} \sup_{\|u\|_{W^k_p} = 1} \|u\|_{L_q(D)}$$ whenever the embedding is continuous (i.e., the smoothness of the boundary suffices for $k$ and $q$ is not too large); here, $P_0$ denotes the space of constant functions and $\lambda$ stands for the $n$-dimensional Lebesgue measure. [1; Theorem 1]

  • We have $$[I \colon W^1_2 \to L_2]_\gamma = \lim_{\varepsilon \to 0} \sup_{\|u\|_{W^1_2} = 1} \|u\|_{L_2(\Omega_\varepsilon)}$$ with $\Omega_\varepsilon = \{ x \in \Omega \colon d(x, \partial \Omega) < \varepsilon \}$. If this holds for more general $p$ and $q$ I do not know. [2; Theorem 4] [1; Remark 3].

  • Whenever we have the Poincaré-type inequality $$ \|u - u_\Omega\|_{L_p} \le k \|\nabla u\|_{L_p} $$ with $u_\Omega = \int_\Omega u$ for every $u \in W^1_p$, then we have the bounds $$[I \colon W^1_p \to L_p]_\beta \le \left( 1 - \frac 1{1+k^p} \right)^{1/p}$$ and $$[I \colon W^1_p \to L_p]_\gamma = \operatorname{ess}\|I \colon W^1_p \to L_p \| \le \left( 1 - \frac 1{1+2^{p-1}k^p} \right)^{1/p}$$ with the same $k$. [1; Theorem 4, Remark 4]

  • For the related space $L^1_p$ of distributions with derivatives in $L_p$, equipped with the norm $\|u\|_{L^1_p} = \|\nabla u\|_{L_p} + \|u\|_{L_p(\omega)}$, where $\omega$ is a non-empty open subset of $\Omega$ with $\bar \omega \subset \Omega$ and $\partial \Omega$ is $C^1$-smooth, we have $$\operatorname{ess}\|I \colon L^1_p \to L_{p^*}\| = \lim_{\varepsilon \to 0} \sup_{\substack{\|u\|_{L^1_p} = 1\\\text{$u = 0$ on $\Omega \setminus \Omega_\varepsilon$}}} \|u\|_{L_{p^*}} = \lim_{\rho \to 0} \sup_{x \in \partial \Omega} \sup_{\substack{\|u\|_{L^1_p} = 1\\\operatorname{supp} u \subset B(x, \rho)}} \|u\|_{L_{p^*}} $$ and $$\operatorname{ess}\|I \colon L^1_p \to L_{p^*}\| = 2^{1/n} c(p,n)$$ where $c(p,n)$ is the best constant in the Sobolev inequality $$ \|u\|_{L_{p^*}(\mathbb R^n)} \le c \|\nabla u\|_{L_p(\mathbb R^n)} $$ [3; Theorem 8.3].

Edit: If $\Omega$ has a $C^1$ boundary (which seems rather restrictive; one would expect this to hold for any extension domain), then [3; Theorem 8.3] thus tells us at least $$ [I \colon W^1_p \to L_{p^*}]_\phi \le \underbrace{\|I \colon W^1_p \to L^1_p \|}_1 [I \colon L^1_p \to L_{p^*}]_\phi \le \operatorname{ess}\|I \colon L^1_p \to L_{p^*}\| = 2^{1/n} c(p,n)\text. $$

Add missing quotient
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Do away with a bit of smoothness
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Simplify presentation
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Mention boundary regularity
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Use more standard/modern notation; see e.g. Appell's summary article on the topic
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Fix definition: Contraction constant
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