EUROPEAN JOURNAL OF PURE AND APPLIED MATHEMATICS Vol. 14, No. 1, 2021, 204-233 ISSN 1307-5543 – ejpam.com Published by New York Business Global Radon measure-valued solutions for nonlinear strongly degenerate parabolic equations with measure data Quincy Stévène Nkombo1,∗, Fengquan Li1 1 School of Mathematical Sciences, Dalian University of Technology, Dalian, Liaoning, China Abstract. In this paper, we prove the existence of Radon measure-valued solutions for nonlinear strongly degenerate parabolic equations with nonnegative bounded Radon measure as initial data. Moreover, we show the uniqueness of the Radon measure-valued solutions when the Radon measure as a forcing term is diffuse with respect to the parabolic capacity and the Radon measure as a initial value is diffuse with respect to the Newtonian capacity. We also deduce that the concentrated part of the Radon measure-valued solution with respect to the Newtonian capacity depends on time. 2020 Mathematics Subject Classifications: 35K20, 35K65, 35K59, 35R06, 28A33 Key Words and Phrases: Radon measure-valued solutions, Nonlinear degenerate parabolic equations, Capacity 1. Introduction In this work we address the nonhomogeneous nonlinear strongly degenerate parabolic equations having the nonnegative bounded Radon measure on the right-hand side with the nonnegative bounded Radon measure as initial data. This problem is described as follows  ut −∆ψ(u) = µ in Q := Ω× (0, T ), u = 0 on ∂Ω× (0, T ), u(x, 0) = u0 in Ω, (P) where T > 0, Ω ⊂ RN (N ≥ 2) is an open bounded domain with smooth boundary ∂Ω, the initial value data u0 is a nonnegative bounded Radon measure on Ω and µ is a nonnegative bounded Radon measure on Q. The nonlinear strongly degenerate parabolic equations (P ) is the special case derived ∗Corresponding author. DOI: https://doi.org/10.29020/nybg.ejpam.v14i1.3877 Email addresses: quincysnk@yahoo.fr (Q. S. Nkombo), fqli@dlut.edu.cn (F. Li) http://www.ejpam.com 204 c© 2021 EJPAM All rights reserved. Quincy S. Nkombo, Fengquan Li / Eur. J. Pure Appl. Math, 14 (1) (2021), 204-233 205 from the study of quasilinear parabolic equations with degenerate coercivity involving a quadratic gradient term (see [4, 7]). The general model of the problem (P ) is given by ut − div (α(u)∇u) = β(u) | ∇u |2 +f(x, t) in Q := Ω× (0, T ), u = 0 on ∂Ω× (0, T ), u(x, 0) = u0 in Ω, (S) where α and β are real continuous functions, moreover α is positive bounded and may vanish at ±∞, u0 ∈ L∞(Ω) and f ∈ Lm(Ω)(m > 1 + N 2 ) (see [4]). For the problem (S), the typical example of functions α and β are expressed as follows α(s) = 1√ 1 + s2 and β(s) = 1√ (1 + s2)3 . In [7], the authors studied the problem (S) with more general assumptions in which (S) is a nonlinear degenerate parabolic equation. Meanwhile, in [32] Bogelein, Duzaarr and Gianazza dealt with nonhomogenous porous medium type equations related to Cauchy- Dirichlet problem in a space-time cylinder Q := Ω × (0, T ) (see also [13]). Likewise, Fiorenza, Mercaldo and Rakotoson [1] studied some regularity and uniqueness results of the evolution N-Laplacian equation with right hand term µ ∈ L1((0, T ),M(Ω)). Further- more Porzio, Smarrazzo and Tesei [23] introduced the definition of Radon measure-valued solutions to quasilinear parabolic equations with initial value as measure data. More pre- cisely, in [23] authors proved the existence, uniqueness and qualitative properties of Radon measure-valued solutions to the following problem ut = ∆ϕ(u) in Q, u = 0 on ∂Ω× (0, T ), u(x, 0) = u0 in Ω, (F ) where u0 ∈M+(Ω) is a bounded Radon measure and ϕ(s) = γ [ 1− 1 (1 + s)σ ] (A.1) with γ ∈ (0,+∞), σ > 0. Since ϕ increases monotonically to limiting value γ as s→ +∞. Therefore, ϕ′(s) → 0, thus the problem (F ) is strongly degenerate parabolic equation at infinity. Another interesting problems similar to the problem (P ) has been investigated in [18, 22, 24, 28, 30, 31] in which authors showed the existence and uniqueness of Radon measure valued solutions to nonlinear parabolic equations. To obtain the problem (P ), we replace the function ϕ by ψ which is defined by ψ(s) = ∫ s 0 e−|z| m dz (0 < m ≤ 1) (1.1) Quincy S. Nkombo, Fengquan Li / Eur. J. Pure Appl. Math, 14 (1) (2021), 204-233 206 The function ψ increases monotonically to limiting value γ as s → +∞. Therefore, the problem (P ) is nonlinear strongly degenerate parabolic equation at infinity and the func- tion ψ is given by Oleinik-Kruzhkov in [26]. The choice of the special function ψ in (1.1) is motivated by the connection with the function ϕ in (A.1), such as ψ′ ≤ ϕ′ in R+. This comparison leads to the connection of the problem (P ) with the previous study problem (F ). In order to construct the problem (P ), we add a Radon measure as a forcing term µ ∈M+(Q)( a nonnegative bounded Radon measure with respect to the parabolic capac- ity) to the problem (F ). The first difficulty when studying the problem (P ) is due to the presence of a forc- ing term µ and the second difficulty is a lack of coercivity of the differential operator u→ div(ψ′(u)∇u). In the study of degenerate parabolic equations, a physical model may be imagined in which the degenerate parabolic equations described arise in nonlinear fluid mechanics, heat transfer or diffusion. Moreover the Radon measures involved as data describe the distribution of mass in the length area, and volume. The last decades some authors studied the parabolic and elliptic equations involving mea- sure data, but the solutions of these equations are not measures (see [2, 17, 25]). Due to this reason, the main purpose of this paper is to study the degenerate parabolic equations with measure data which the solutions of such equations are measures as well. This result is possible because of the definition of weak Radon measure-valued solutions introduced in [23], hence the main motivation to study of the problem (P ). The unique point of the novelty of this paper is the study of the uniqueness of the Radon measure-valued solutions when the Radon measure as a forcing term is diffuse with respect to the parabolic capacity and the Radon measure as initial data is diffuse with respect to the Newtonian capacity. To the best of our knowledge there is no existing results of the problem (P ) are known in the literature. Hence, this interesting case will be discussed in this paper. The plan of this paper is organized as follows. In the next section, we recall some prelimi- naries about capacity and Radon measures. Then in Section 3, we state the main results, while in Section 4-6, we prove the main results. 2. Preliminaries 2.1 About capacity and measures For any Borel set E ⊂ Ω, the C2-capacity of E in Ω is defined as C2(E) = inf {∫ Ω | ∇u |2dx/u ∈ ZEΩ } where ZEΩ denotes the set of u belongs to H1 0 (Ω) such that 0 ≤ u ≤ 1 almost everywhere in Ω, and u = 1 almost everywhere in a neighborhood E (see [23]). Let W = { u ∈ L2((0, T ), H1 0 (Ω)) and ut ∈ L2((0, T ), H−1(Ω)) } endowed with its natural norm ‖ u ‖W=‖ u ‖L2((0,T ),H1 0 (Ω)) + ‖ ut ‖L2((0,T ),H−1(Ω)) a Banach space. For any open set U ⊂ Q, we define the parabolic capacity as Cap(U) = inf { ‖ u ‖W /u ∈ VUQ } Quincy S. Nkombo, Fengquan Li / Eur. J. Pure Appl. Math, 14 (1) (2021), 204-233 207 where VUQ denotes the set of u belongs to W such that 0 ≤ u ≤ 1 almost everywhere in Q, and u = 1 almost everywhere in a neighborhood U (see [16]). Let M(Ω) be the space of bounded Radon measures on Ω, and M+(Ω) ⊂ M(Ω) the cone of nonnegative bounded Radon measures on Ω. For any µ ∈ M(Ω) a bounded Radon measure on Ω, we set ‖ µ ‖M(Ω):=| µ | (Ω) where | µ | stands for the total variation of µ. The duality map 〈·, ·〉Ω between the space M(Ω) and Cc(Ω) is defined by 〈µ, ϕ〉Ω = ∫ Ω ϕdµ. For any µ ∈ M(Ω) and any Borel set B ⊆ Ω, the restriction µxB of µ to B is defined by setting (µxB)(A) := µ(B ∩A) for every Borel set A ⊆ Ω. It is worth observing that (µxB)(∅) = 0. M+ s (Ω) denotes the set of nonnegative measures singular with respect to the Lebesgue measure, namely M+ s (Ω) := { µ ∈M+(Ω)/∃ a Borel set E ⊆ Ω ; | E |= 0 , µ = µxB } we will consider | · | the Lebesgue measure on RN . Similarly,M+ ac(Ω) the set of nonnega- tive measures absolutely continuous with respect to the Lebesgue measure, namely M+ ac(Ω) := { µ ∈M+(Ω)/µ(E) = 0, for every Borel setE ⊆ Ω ; | E |= 0 } . Recall that M+ s (Ω) ∩ M+ ac(Ω) = {0}. Moreover, by the Lebesgue decomposition and Radon-Nikodym theorem (see [9]), for any µ ∈M+(Ω): (i) there exists a unique couple µac ∈M+ ac(Ω), µs ∈M+ s (Ω) such that µ = µac + µs (2.1) (ii) there exist a unique nonnegative function ur ∈ L1(Ω) called the density of the measure µac such that µac(E) = ∫ E urdx, for every Borel set E ⊆ Ω. (2.2) LetM+ c,2(Ω) be the set of nonnegative measures on Ω which are concentrated with respect to the Newtonian capacity M+ c,2(Ω) := { µ ∈M+(Ω)/∃ a Borel set E ⊆ Ω ; µ = µxE and C2(E) = 0 } . Quincy S. Nkombo, Fengquan Li / Eur. J. Pure Appl. Math, 14 (1) (2021), 204-233 208 Notice thatM+ c,2(Ω) can be also defined as the set of all measures µ inM+(Ω) which are singular with respect to the Newtonian capacity, i.e. M+ c,2(Ω) := { µ ∈M+ s (Ω)/∃ a Borel set E ⊆ Ω ; C2(E) = 0 } . It is clear to observe that M+ c,2(Ω) ⊆M+ s (Ω) (see [12]). M+ d,2(Ω) denotes the set of nonnegative measures on Ω which are diffuse with respect to the Newtonian capacity M+ d,2(Ω) := { µ ∈M+(Ω)/µ(E) = 0, for every Borel setE ⊆ Ω ;C2(E) = 0 } . Due to C2(E) = 0 implies that | E |= 0 (see [9]), we observe that M+ ac(Ω) ⊆M+ d (Ω). It is known that a measure µd,2 ∈ M+ d,2(Ω) if there exist f0 ∈ L1(Ω) and G0 ∈ [ L2(Ω) ]N such that µd,2 = f0 − divG0 in D′(Ω). (2.3) For any µ ∈ M+(Ω), if there exists a unique couple µd,2 ∈ M+ d,2(Ω), µc,2 ∈ M+ c,2(Ω) such that µ = µd,2 + µc,2. (2.4) Notice that µc,2 = [µ]c,2 and µd,2 = [µ]d,2. For the above assertions we can also refer to ([18, 23, 30] and references therein). Let M(Q) be the space of bounded Radon measures on Q, and M+(Q) ⊂M(Q) the cone of nonnegative bounded Radon measures on Q. For any µ ∈M(Q), we set ‖ µ ‖M(Q):=| µ | (Q) where | µ | denotes the total variation of µ. For any diffuse measure µ0 ∈ M+ d,2(Q), there exist f ∈ L1(Q), g ∈ L2((0, T ), H1 0 (Ω)) and G ∈ [ L2(Q) ]N µ0 = f − divG+ gt in D′(Q) (2.5) (see [10, 11, 16]). The rest of statements of M(Q) can be deduce from the properties of M(Ω). Let E be a Borel subset of Ω, for t0 ∈ (0, T ) fixed, one has Cap(E × {t0}) = 0 if and only if | E |= 0 and for any 0 ≤ t0 < t1 ≤ T , there holds Cap(E × (t0, t1)) = 0 if and only if C2(E) = 0 (see [16]). The relationship between parabolic capacity and Newtonian capacity is given in [27] such that : (i) There exist positive constants 0 < k1 < k2 such that k1C2(E) ≤ Cap(E × {t0}) ≤ k2C2(E). (ii) For any 0 < t0 < t1, there exist positive constants 0 < l1 < l2 such that l1C2(E) ≤ Cap(E × (t0, t1)) ≤ l2C2(E). Quincy S. Nkombo, Fengquan Li / Eur. J. Pure Appl. Math, 14 (1) (2021), 204-233 209 Let U ⊂ Q an open set and K ⊂ Q a compact set with Cap(K) = 0, then there exists ϕn ∈ C∞c (U) such that (iii) 0 ≤ ϕn ≤ 1 a.e in Q, (iv) ϕn = 1 a.e in K, (v) ϕn → 0 in W , (vi) ϕn converges to zero Cap-quasi continuous (see [27, Proposition 2.2]). On the other hand, assume that V ⊂ Ω an open set and K ⊂ Ω a compact set with Cap(K) = 0, then there exists φn ∈ C∞c (V ) such that (vii) 0 ≤ φn ≤ 1 a.e in Ω, (viii) φn = 1 a.e in K, (ivx) φn → 0 in H1 0 (Ω), (x) ϕn converges to zero Cap-quasi continuous (see [15, Lemma 4.E.1]. By L∞ ((0, T ),M+(Ω)), the set of nonnegative Radon measures u ∈M+(Q) which satisfy the following property: For almost every t ∈ (0, T ), there exists a measure u(·, t) ∈M+(Ω) such that (a) for every ξ ∈ C(Q), the map t 7→ 〈u(·, t), ξ(·, t)〉Ω is Lebesgue measurable and there holds 〈u, ξ〉Q = ∫ T 0 〈u(·, t), ξ(·, t)〉Ωdt (2.6) (b) for every Borel set E ⊆ Ω, the map t 7→ u(·, t)(Et) is Lebesgue measurable and there holds u(E) = ∫ T 0 u(·, t)(Et)dt where Et = {x ∈ Ω/(x, t) ∈ E} (c) there exists a constant C > 0 such that ess sup t∈(0,T ) ‖ u(·, t) ‖M(Ω)≤ C. In the following, we will use the notation ‖ u ‖L∞((0,T ),M(Ω))= ess sup t∈(0,T ) ‖ u(·, t) ‖M(Ω) . If u ∈ L∞((0, T ),M(Ω)), it is easily seen that uac, us ∈ L∞((0, T ),M(Ω)) as well and that ur ∈ L∞((0, T ), L1(Ω)). Moreover, the inequality (2.6) implies that for every ξ ∈ C(Q) 〈uac, ξ〉Q = ∫ Q urξdxdt and 〈us, ξ〉Q = ∫ T 0 〈us(·, t), ξ(·, t)〉Ωdt Quincy S. Nkombo, Fengquan Li / Eur. J. Pure Appl. Math, 14 (1) (2021), 204-233 210 Notice that uac(·, t) = [u(·, t)]ac, ur(·, t) = [u(·, t)]r and us(·, t) = [u(·, t)]s (see [18, 23, 30]). Assume that the function ψ satisfies the following conditions: (I)  (i) ψ ∈ L∞(R+) ∩ C2(R+), ψ(0) = 0, ψ′ > 0 in R+, (ii) ψ(j) ∈ L∞(R∗+), for any j = 1, 2, . . . , n if 0 < m ≤ 1, (iii) ψ(s)→ γ as s→ +∞, where R+ ≡ [0,+∞) and γ ∈ R∗+ ≡ (0,+∞) . By ψ′ and ψ(j) we denote the first and j th derivative of the function ψ. The assumption (I)-(iii) stems from (I)-(i), hence we extend the function ψ in [0,+∞] defining ψ(+∞) = γ. To prove the well-posedness of (P) (if N ≥ 2) we will need further assumption (J)  There exist γ > 0, s < s and l1, l2 > 0, l1 < l2 such that (i) ψ′(s) ≥ l1e−|s| m , (ii) ψ′(s) ≤ l2e−|s| m , for any s < s < s. where l1, l2 can be expressed as follows l1 = min s∈[s,s] ψ′(s)e|s| m and l2 = max s∈[s,s] ψ′(s)e|s| m (0 < m ≤ 1). 3. Statement of main results Definition 3.1. For any u0 ∈ M+(Ω) and µ ∈ M+(Q), a measure u is called a weak solution of the problem (P ), if u ∈M+(Q) such that (i) u ∈ L∞((0, T ),M+(Ω)) (ii) ψ(ur) ∈ L1((0, T ),W 1,1 0 (Ω)) (iii) for every ξ ∈ C1([0, T ], C1 0 (Ω)), ξ(·, T ) = 0 in Ω, u satisfies the identity∫ T 0 〈u(·, t), ξt(·, t)〉Ωdt = ∫ Q ∇ψ(ur)∇ξdxdt− ∫ Q ξdµ− 〈u0, ξ(·, 0)〉Ω (3.1) where ur is the density of the absolutely continuous part of the Radon-measure with re- spect to the Lebesgue measure such that 0 ≤ ur ∈ L∞((0, T ), L1(Ω)). Remark 3.1 In (3.1), we can choose test functions ξ in C1(Q) which vanish on ∂Ω× [0, T ] and t = T . The following theorem gives necessary conditions on the measures µ and u0 for the ex- istence of weak solutions to the problem (P ) with respect to the parabolic capacity and Newtonian capacity respectively. Theorem 3.1. Assume that (I), (J), µ ∈ M+(Q) and u0 ∈ M+(Ω) hold. If u is a weak solution to the problem (P ). Then µ and u0 ⊗ δ{t=0} are absolutely continuous measures with respect to the parabolic capacity. Quincy S. Nkombo, Fengquan Li / Eur. J. Pure Appl. Math, 14 (1) (2021), 204-233 211 Since Newtonian capacity and parabolic capacity are equivalent, then µ and u0 ⊗ δ{t=0} are absolutely continuous measures with respect to the C2-capacity as well. Theorem 3.2. Assume that the hypothesis (I) holds. Let u be a weak solution to the problem (P ). Then there exist a set F ⊂ (0, T ) with zero Lebesgue measure and νt ∈M+(Ω) such that [u(·, t)− u0]c,2 = [ νt ] c,2 (3.2) for every t ∈ (0, T ) \ F . Remark 3.2. Theorem 3.2 improves Theorem 2.4 in [23]. To prove the existence of solutions to the problem (P ), we will consider the approximating problems  unt = ∆ψn(un) + µn in Q := Ω× (0, T ), un = 0 on ∂Ω× (0, T ), u(x, 0) = u0n in Ω, (Pn) where {u0n} ⊆ C∞0 (Ω) and {µn} ⊆ C∞c (Q) satisfy u0n ∗ ⇀ u0 in M+(Ω), u0n → u0r a.e in Ω, ‖ u0n ‖L1(Ω)≤‖ u0 ‖M+(Ω) . (3.3) And { µn ∗ ⇀ µ in M+(Q), ‖ µn ‖L1(Q)≤‖ µ ‖M+(Q) . (3.4) The approximating function ψn is such that ψn(u) = ψ(u) + 1 n (3.5) for every n ∈ N. By [3, 20], the approximating problem (Pn) has a solution un in C((0, T ), L1(Ω))∩L∞(Q). Theorem 3.3. Assume that (I), µ ∈ M+(Q) and u0 ∈ M+(Ω) hold. Then there exists a weak solution u to the problem (P ) obtained as a limiting point of the sequence {un} of solutions to the problem (Pn) such that for every t ∈ (0, T ) \H∗, there holds ‖ u(·, t) ‖M+(Ω)≤ C ( ‖ µ ‖M+(Q) + ‖ u0 ‖M+(Ω) ) . (3.6) Moreover, there exists a Radon measure νt ∈M+(Ω) such that [us(·, t)]± ≤ [u0s] ± + [νts] ± in M+(Ω) (3.7) where C is positive constant and H∗ a zero Lebesgue measure set. To get the uniqueness of the solution to the problem (P ), we define the notion of very Quincy S. Nkombo, Fengquan Li / Eur. J. Pure Appl. Math, 14 (1) (2021), 204-233 212 weak solutions as follows. Definition 3.2. For any µ ∈ M+ d,2(Q) and u0 ∈ M+ d,2(Ω), a measure u is called a very weak solution to the problem (P ) if u ∈ L∞((0, T ),M+(Ω)) such that∫ T 0 〈u(·, t), ξt(·, t)〉Ωdt = − ∫ Q ψ(ur)∆ξdxdt− ∫ Q ξdµ− 〈u0, ξ(0)〉Ω (3.8) for every ξ ∈ C2,1(Q), which vanishes on ∂Ω× [0, T ], for t = T . The notion of very weak solutions adapted to our study can be found in [18, 33]. Definition 3.3. Let u0 ∈M+ d,2(Ω) and µ ∈M+ d,2(Q) such that u0 = f0 − divG0 , f0 ∈ L1(Ω) and G0 ∈ [ L2(Ω) ]N . µ = f − divG+ gt , f ∈ L1(Q) , G ∈ [ L2(Q) ]N and g ∈ L2((0, T ), H1 0 (Ω)). A measure u is called very weak solutions obtained as limit of approximation, if un ∗ ⇀ u in M+(Q) (3.9) where {un} ⊆ L∞(Q) ∩ L2((0, T ), H1 0 (Ω)) is a sequence of weak solutions to the problem (Pn) and satisfy  µn = fn − Fn + gnt ∈ C∞0 (Q), u0n = f0n − F0n ∈ C∞0 (Ω), fn → f in L1(Q), Fn → divG in L2((0, T ), H−1(Ω)), gn → g in L2((0, T ), H1 0 (Ω)), F0n → divG0 in H−1(Ω), f0n → f0 in L1(Ω). (3.10) Notice that µn ∗ ⇀ µ in M+(Q) and u0n ∗ ⇀ u0 in M+(Ω). Theorem 3.4. Under assumptions of (I) and (J), then for every µ ∈ M+ d,2(Q) and u0 ∈ M+ d,2(Ω) , there exists a unique very weak solution obtained as limit of approxima- tion u of the problem (P ). Notice that a very weak solution is also weak solution to the problem (P ), therefore the problem (P ) possesses a unique weak solution obtained as limit of approximation. 4. Approximating problems and the persistence Now we establish some technical statements which will be used in the proof of the exis- tence solution. Lemma 4.1. Assume that (I) and (J) are satisfied and un is the solution of the approx- imation problem (Pn). Then there exists a zero Lebesgue measure set F ∗ ⊂ (0, T ) such that ‖ un(·, t) ‖L1(Ω)≤‖ u0 ‖M+(Ω)) + ‖ µ ‖M+(Q) (4.1) Quincy S. Nkombo, Fengquan Li / Eur. J. Pure Appl. Math, 14 (1) (2021), 204-233 213 for every t ∈ (0, T ) \ F ∗ and n ∈ N. Proof. Assuming that any sequence {Ωj} of smooth open sets such that Ωj ⊂ Ωj+1 ⊂ Ωj+1 ⊂ Ω , Ω = ∞⋃ j=1 Ωj , dist(Ωj , ∂Ω) ≤ 1 j . Let {ρj} ⊆ C∞c (Ω) be any function such that 0 ≤ ρj ≤ 1 in Ω , ρj = 1 in Ωj , | ∇ρj |≤ j in Ω \ Ωj . Then for any | ∇ρj |≤ j ≤ 1 d(x) where d(x) := dist(x, ∂Ω) ≤ dist(Ωj , ∂Ω) ( see [24]). Let us consider the truncated function η such that for any 0 ≤ t1 < t2 ≤ T η(s) =  0 if 0 ≤ s ≤ t1, 1 if t1 < s < t2, 0 if s ≥ t2. For any fixed j ∈ N, we choose ξj(x, s) = η(s)ρj(x) as a test function in the problems (Pn) gives∫ Ω un(x, t2)ρj(x)dx− ∫ Ω un(x, t1)ρj(x)dx = − ∫ t2 t1 ∫ Ω η(s)∇ψ(un)∇ρj(x)dxds+ + ∫ t2 t1 ∫ Ω η(s)ρj(x)µn(x)dx. (4.2) It is worth observing that∣∣∣∣∫ Ω ∇ψ(un)∇ρj(x)dx ∣∣∣∣ ≤| Ω \ Ωj |‖ ∇ψ(un) ‖L2(Ω) . By letting j to infinity, we deduce that lim j→∞ ∫ Ω ∇ψ(un)∇ρj(x)dx = 0. (4.3) By the properties of the sequence functions {ρj}, we set t2 = t , t1 = 0 and then combining together (4.2) with (4.3), there holds∫ Ω un(x, t)dx ≤ ∫ Ω u0n(x)dx+ ∫ t 0 ∫ Ω dµn. (4.4) Hence the estimate (4.1) follows. � To show the existence of the solutions to the problems (P ) we need a priori estimates of Quincy S. Nkombo, Fengquan Li / Eur. J. Pure Appl. Math, 14 (1) (2021), 204-233 214 sequences {ψ(un)}. Proposition 4.1. Under the assumptions of (I) − (J) and un be the solution of the approximation problem (Pn). Then we obtain ‖ ∇ψ(un) ‖L2(Q)≤ C. (4.5) ‖ ψ(un) ‖L∞((0,T ),H1 0 (Ω))≤ C. (4.6) Proof. Since ψ(un) ≥ 0 in Q and ψ(un) = 0 on ∂Ω× (0, T ) for every t ∈ (0, T ). The fact that un = ψ(ψ−1(un)) ∈ C1([0, T ], H1 0 (Ω)). Take ψ(un) as a test function in (Pn), we get∫ Q | ∇ψ(un) |2 dxdt = ∫ Ω (∫ u0n(x) 0 ψ(s)ds ) dx− ∫ Ω (∫ un(x,T ) 0 ψ(s)ds ) dx + ∫ Q µnψ(un)dxdt. It follows that∫ Q | ∇ψ(un) |2 dxdt ≤ ∫ Ω (∫ u0n(x) 0 ψ(s)ds ) dx+ ∫ Q µnψ(un)dxdt. By (I)-(i) and the assumption (3.3), there exists a positive constant C such that (4.5) holds. Assume that {ηj} a sequence such that ‖ ηj ‖L1(Ω)≤ C and ηj ∗ ⇀ δt0(t) in M+(0, T ). Suppose that ξ(x, t) = ψ(un)(T − t)α ∫ T t ηj(s)ds (1 < T − t < τ , α > 1) as a test function in the approximating problem (Pn), there holds − ∫ Ω (∫ u0n(x) 0 ψ(s)ds ) Tα ∫ T 0 ηj(s)ds+ + ∫ Ω (∫ un(x,t) 0 ψ(s)ds ){ (T − t)α ∫ T 0 ηj(s)ds+ ∫ T 0 ηj(s)(T − t)αdt } = = 1 1 + α ∫ Ω | ∇ψ(un) |2 dx (∫ T 0 ηj(s)χ(0,T )(s)ds ) (T−t)α− ∫ Q µnψ(un)(T−t)α ∫ t T ηj(s)ds. (4.7) This leads to the following result(∫ T 0 ηj(s)χ(0,T )(s)ds )∫ Ω | ∇ψ(un) |2 dx ≤ C ( ‖ u0 ‖M+(Ω) + ‖ µ ‖M+(Q) ) Quincy S. Nkombo, Fengquan Li / Eur. J. Pure Appl. Math, 14 (1) (2021), 204-233 215 Letting j → +∞ the assertion (4.6) holds true. � Proposition 4.2. Suppose that (I) − (J) and (1.1) hold. Let un be the solution of the problem (Pn) and φ ∈ C1(R+) be the function defined by φ(s) = ∫ s 0 ψ(z)dz. (4.8) Then the sequence [φ(Tk(ψ(un))]t is bounded in L2((0, T ), H−1(Ω)) + L1(Q). Where Tk(s) = min{s, k}. Proof. We choose ψ(un)ϕ as a test function in (Pn), with ϕ ∈ C2,1 c (Q), there holds [φ(Tk(ψ(un))]t−div [ψ(Tk(ψ(un)))∇ψ(Tk(ψ(un)))] + | ∇ψ(Tk(ψ(un))) |2= ψ(Tk(ψ(un)))µn. It follows that ‖ [φ(Tk(ψ(un)))]t ‖L2((0,T ),H−1(Ω))+L1(Q) ≤‖ ψ(Tk(ψ(un)))∇ψ(Tk(ψ(un))) ‖L2(Q) + ‖ ∇ψ(Tk(ψ(un))) ‖2L1(Q) + ‖ ψ(Tk(ψ(un)))µn ‖L1(Q) . By the condition (I), we obtain the sequence {[φ(Tk(ψ(un))]t} is bounded in L2((0, T ), H−1(Ω))+ L1(Q). � Proof of Theorem 3.1. This proof is similar to ([21, Theorem 1.1]). As in ([27, Propo- sition 3.1]), it is enough to show that for any compact K ⊂ Q such that µ−(K) = 0 ,( u−0 ⊗ δ{t=0} ) (K) = 0 and Cap(K) = 0, then µ+(K) = 0 and ( u+ 0 ⊗ δ{t=0} ) (K) = 0. By the equivalence of the capacity, we have Cap(E × {t = 0}) = 0, where E a com- pact set of Ω with u−0 (E) = 0. Let ε > 0 and we choose an open set U such that( | µ | + | u0 | ⊗δ{t=0} ) (U \ K) < ε and K ⊂ U ⊂ Q. Then there exists a sequence {ϕn} ⊆ C∞0 (Q) such that (i) 0 ≤ ϕn ≤ 1 in Q, ϕn ≡ 1 in K. (ii) ‖ ∆ϕn ‖L1(Q)→ 0 as n→∞. In particular, ϕn → 0 in W , indeed∫ Q | ∇ϕn |2 dxdt = − ∫ Q ϕn∆ϕndxdt ≤ ∫ Q | ∆ϕn | dxdt. Let us consider ϕn as a test function in (P ), there holds∫ Q ϕndµ+ ∫ Ω ϕn(0)du0 = − ∫ Q ψ(ur)∆ϕndxdt. (4.9) On the other hand, we get∫ Q ϕndµ+ ∫ Ω ϕn(0)du0 ≥ µ+(K) + ( u+ 0 ⊗ δ{t=0} ) (K) Quincy S. Nkombo, Fengquan Li / Eur. J. Pure Appl. Math, 14 (1) (2021), 204-233 216 − ( | µ | + | u0 | ⊗δ{t=0} ) (U \K). It follows that ∫ Q ϕndµ+ ∫ Ω ϕn(0)du0 ≥ µ+(K) + ( u+ 0 ⊗ δ{t=0} ) (K)− ε. (4.10) Combining (4.11) with (4.12), we obtain that µ+(K) + ( u+ 0 ⊗ δ{t=0} ) (K) ≤‖ ψ ‖L∞(Q)‖ ∆ϕn ‖L1(Q) +ε. Letting n to infinity, we infer that µ+(K) = ( u+ 0 ⊗ δ{t=0} ) (K) = 0. � Proof of Theorem 3.2. Let K ⊆ Ω be any compact set such that C2(K) = 0, there exists a sequence {φn} ⊆ C∞c (Ω) satisfying (iv) and (viii) as stated in preliminaries, Section 2. Furthermore, ρV ∈ C∞c (V ) be any smooth function such that (iii) 0 ≤ ρV ≤ 1 in Ω , ρV ≡ 1 in K. By standard regularization argument, we consider φτ (x, s) = ρ(x)ητ (s) as a test function in (3.8), where ητ (s) =  1 if 0 ≤ s ≤ t, 1 τ (t+ τ − s) if t ≤ s ≤ t+ τ, 0 if s ≥ t+ τ, for any ρ ∈ C2 0 (Ω) and τ > 0. There holds 1 τ ∫ t+τ t 〈u(s), ρ〉Ω ds− 〈u0, ρ〉Ω = ∫ T 0 ητ (s)ds ∫ Ω ψ(ur)∆ρdx+ ∫ T 0 ητ (s) ∫ Ω ρdµ. Since ητ (s) → χ(0,t] for every s ∈ (0, T ) as τ → 0 and we replace the test function ρ by φn(x)ρV (x). Then we infer that 〈u(·, t), φnρV 〉Ω − 〈u0, φnρV 〉Ω = ∫ t 0 ∫ Ω ψ(ur)∆(φnρV )dxds+ ∫ t 0 ∫ Ω (φnρV )dµ. By ([14, Theorem 8, p.85]), the measure µ ∈M+(Q) can be decomposed as λ ∈M+(0, T ) and νt ∈M+(Ω) such that for φnρV ∈ C(Ω), there holds 〈µ, φnρV 〉Q = ∫ (0,T ) dλ(s) ∫ Ω φnρV dν t with λ(s) := δ(0,T )(s), where δ(0,T ) a Dirac measure on (0,T). Therefore, 〈[u(·, t)]c,2, φnρV 〉Ω + 〈[u(·, t)]d,2, φnρV 〉Ω = Quincy S. Nkombo, Fengquan Li / Eur. J. Pure Appl. Math, 14 (1) (2021), 204-233 217 = ∫ t 0 ∫ Ω ψ(ur)∆(φnρV )dxds+ 〈 [νt]c,2, φnρV 〉 Ω + + 〈 [νt]d,2, φnρV 〉 Ω + 〈[u0]c,2, φnρV 〉Ω + 〈[u0]d,2, φnρV 〉Ω . (4.11) By the assumptions stated above, we infer that lim n→∞ ∫ t 0 ∫ Ω ψ(ur)∆(φnρV )dxds = 0. Moreover, since [u(·, t)]d,2, [νt]d,2 , [u0]d,2 belong to L1(Ω)+H−1(Ω) and φn ∗ ⇀ 0 in L∞(Ω) , φn → 0 in H1 0 (Ω) so that lim n→∞ 〈[u(·, t)]d,2, φnρV 〉Ω = lim n→∞ 〈 [νt]d,2, φnρV 〉 Ω = lim n→∞ 〈[u0]d,2, φnρV 〉Ω = 0. It follows that (4.11) can be rewritten as 〈[u(·, t)]c,2, φnρV 〉Ω = 〈 [νt]c,2, φnρV 〉 Ω + 〈[u0]c,2, φnρV 〉Ω . (4.12) Since K is a subset compact of Ω, then [u(·, t)− u0]c,2 (K) ≤ lim sup n→∞ 〈[u(·, t)− u0]c,2, φnρV 〉Ω = lim sup n→∞ 〈 [νt]c,2, φnρV 〉 Ω ≤ [ νt ] c,2 (K). On the other hand, we get[ νt ] c,2 (K) ≤ lim sup n→∞ 〈 [νt]c,2, φnρV 〉 Ω = lim sup n→∞ 〈[u(., t)− u0]c,2, φnρV 〉Ω ≤ [u(., t)− u0]c,2 (K). The above inequality implies that [u(·, t)− u0]c,2 (K) ≤ inf {[ νt ] c,2 (V ) | K ⊂ V, open } = [ νt ] c,2 (K). Similarly, we have[ νt ] c,2 (K) ≤ inf { [u(·, t)− u0]c,2 (V ) | K ⊂ V, open } = [u(., t)− u0]c,2 (K). Whence, the following statement[ νt ] c,2 (K) = [u(·, t)− u0]c,2 (K) (4.13) holds true. According to the arbitrariness of K, (4.13) is satisfied for every Borel set E ⊆ Ω with C2(E) = 0. By the definition of concentrated measure with respect to the Newtonian capacity, we have for any t ∈ (0, T ) \ F , [u(·, t)]c,2 = [u(·, t)]c,2 xB1(t) , [ νt ] c,2 = [ νt ] xB2(t) and [u0]c,2 = [u0]c,2 xA for some Borel sets B1(t), B2(t), and A is a zero Newtonian capacity, then (4.13) yields [u(·, t)]c,2 ((B1(t) ∪B2(t)) \A) = [ νt ] c,2 ((B1(t) ∪B2(t)) \A) = Quincy S. Nkombo, Fengquan Li / Eur. J. Pure Appl. Math, 14 (1) (2021), 204-233 218 = [u0]c,2 ((B1(t) ∪B2(t)) \A) = 0. Therefore for every t ∈ (0, T ) \F , [u(·, t)]c,2 , [ νt ] c,2 , [u0]c,2 are concentrated measures on the set B∗(t) such that B∗(t) = (B1(t)∩A)∪ (B2(t)∩A). Therefore, for every set E ⊆ Ω and t ∈ (0, T ) \ F , there holds [u(·, t)− u0]c,2 (E) = ( [u(·, t)− u0]c,2 xB ∗(t) ) (E) = [u(·, t)− u0]c,2 x(B ∗(t) ∩ E) = = [ νt ] c x(B∗(t) ∩ E) = ([ νt ] c,2 xB∗(t) ) (E). Hence, the proof is achieved. � 5. Existence results We prove the existence result of the problem (P ). Proposition 5.1. Assume that (I) and (J) hold. Let un be the solution to the approxima- tion problem (Pn), then there exist a subsequence { unj } ⊆ {un} and v ∈ L2((0, T ), H1 0 (Ω))∩ L∞((0, T ), H1 0 (Ω)) ∩ L∞(Q) with 0 ≤ v ≤ γ in Q such that ψ(unj ) ∗ ⇀ v in L∞(Q). (5.1) ∇ψ(unj ) ⇀ ∇v in [ L2(Q) ]N . (5.2) ψ(unj )→ v a.e in Q. (5.3) Proof. By the assumption (I)-(ii), the sequence {ψ(un)} is uniformly bounded in L∞(Q), then from [5] there exists a function v ∈ L∞(Q) such that the convergence in (5.1) holds true. Furthermore, the convergence (5.2) stems from estimate (4.5). By (4.6), we have | ∇φ(Tk(ψ(un))) |=| ∇Tk(ψ(un)) || ψ(Tk(ψ(un))) | ≤ γ | ∇Tk(ψ(un)) | . (5.4) It follows that,∫ Q | ∇φ(Tk(ψ(un))) | dxdt ≤ γ | Q | [∫ Q | ∇Tk(ψ(un)) |2 dxdt ] 1 2 . Since Tk(ψ(un)) ∈ L2((0, T ), H1 0 (Ω)) then there exists a positive constant C such that∫ Q | ∇φ(Tk(ψ(un)) | dxdt ≤ C. (5.5) By Proposition 4.2, the sequence [φ(Tk(ψ(un)))]t is bounded in L2((0, T ), H−1(Ω)) + L1(Q). According to the compactness theorem in [29], then there Quincy S. Nkombo, Fengquan Li / Eur. J. Pure Appl. Math, 14 (1) (2021), 204-233 219 exists a subsequence denoted again { ψ(unj ) } (possibly for k > 0, Tk(ψ(un)) = ψ(unj ) and | ψ(unj ) |≤ k ) and a function v ∈ L1((0, T ),W 1,1 0 (Ω)) ∩ L1(Q) such that φ(ψ(unj ))→ v a.e in Q. (5.6) Therefore, we get ψ(unj )→ φ−1(v) a.e in Q. (5.7) Combining (5.6) with (5.1) gives φ−1(v) = v, this proves (5.3). � We recall the following sclicing property of the bounded Radon measure u ∈ M(Q). The proof is omitted since it follows from the more general result in ([14, Theorem 8, p.35]). Proposition 5.2. Assume that µ ∈M+(Q). Then there exists a measure λ ∈M+(0, T ) and for λ almost everywhere t ∈ (0, T ), there exists a probability νt ∈ M+(Ω) with the following properties (i) for any Borel set E ⊆ Q µ(E) = ∫ (0,T ) νt(Et)dλ(t) (5.8) where Et = {x ∈ Ω/(x, t) ∈ E} (ii) for every ξ ∈ C(Q) 〈µ, ξ〉Q = ∫ (0,T ) dλ(t) ∫ Ω ξ(x, t)dνt(x). (5.9) Proposition 5.3. Let { unj } and v as in Proposition 5.1. Then the following assertions hold (i) ψ−1(unj ) ∈ L1(Q) and we have unj (x, t)→ [ψ−1(v)](x, t) a.e (x, t) ∈ Q. (5.10) (ii) There exist λ1, λ2 ∈ L∞((0, T ),M+(Ω))) and we can extract a subsequence still de- noted { unj } such that u+ nj ∗ ⇀ [ψ−1(v)]+ + λ1 in M+(Q), (5.11) u−nj ∗ ⇀ [ψ−1(v)]− + λ2 in M+(Q), (5.12) unj ∗ ⇀ [ψ−1(v)] + λ in M+(Q), (5.13) where λ := λ1 − λ2 in L∞((0, T ),M+(Ω)). Proof. From (5.3), (4.1) and ψ−1(unj ) ∈ L1(Q), then by Fatou’s Lemma, we get∫ Q [ψ−1(v)](x, t)dxdt ≤ lim inf j→∞ ∫ Q unj (x, t)dxdt. (5.14) Quincy S. Nkombo, Fengquan Li / Eur. J. Pure Appl. Math, 14 (1) (2021), 204-233 220 By (5.3) the convergence (5.11) is satisfied. Since the sequence { unj } is uniformly bounded in L1(Q) and by (4.6), there exist a subsequence { unj } which still denote { unj } and Radon-measures u , ũ ∈M+(Q) such that u+ nj ∗ ⇀ u in M+(Q). (5.15) u−nj ∗ ⇀ ũ in M+(Q). (5.16) Let us prove that u , ũ ∈ L∞((0, T ),M+(Ω)). To prove this, we consider λi ∈ M+(0, T ) and λi-a.e t ∈ (0, T ). Let νti ∈ M+(Ω) be the measure given by Proposition 5.2 in correspondence with each u , ũ. Let us show that the measures λi ∈ M+(0, T ) are absolutely continuous with respect to the Lebesgue measure over (0, T ). In this direction, fix arbitrarily t ∈ (0, T ) and choose r, s > 0 such that Jr,s ≡ (t−r−2s, t+r+2s) ⊆ (0, T ). Then for every function ηr,s ∈ C1 c (0, T ) such that ηr,s ≡ 1 in [t− r − 2s, t+ r + 2s] , 0 ≤ ηr,s ≤ 1 , suppηr,s ⊆ Jr,s. By the estimate (4.1), we have∫ Q u±nj ηr,s(t)dxdt ≤ 2(r + 2s) ‖ µ ‖M+(Q) +2(r + 2s) ‖ u0 ‖M+(Ω) . (5.17) By (5.15), (5.16) and (5.17), there holds∫ [t−r,t+r] dλi(t) ≤ ∫ (t−r−2s,t+r+2s) νti (Ω)dλi(t) ≤ lim inf k→∞ ∫ Q u±nj (x, t)ηr,s(t)dxdt. Thus ∫ [t−r,t+r] dλi(t) ≤ 2(r + 2s) ‖ µ ‖M+(Q) +2(r + 2s) ‖ u0 ‖M+(Ω) . Noting s is arbitrary, thus we divide both sides of the above inequality by 2r, we obtain 1 2r ∫ [t−r,t+r] dλi(t) ≤‖ µ ‖M+(Q) + ‖ u0 ‖M+(Ω) . Therefore there exists hi ∈ L1(0, T ), hi ≥ 0 such that dλi(t) = hi(t)dt, this means that the Radon-measure M+(0, T ) is regular (e.g, [9]). Since u , ũ ∈ M+(Q) are nonnegative Radon-measures, letting r → 0 in the previous inequality yields 0 ≤ hi(t) ≤ C ( ‖ µ ‖M+(Q) + ‖ u0 ‖M+(Ω) ) for almost every t ∈ (0, T ). Finally, defining u(t) = h1(t)νt1 and ũ(t) = h2(t)νt2 for almost everywhere t ∈ (0, T ). From (5.7) and (5.8) we obtain that u, ũ ∈ L∞((0, T ),M+(Ω)). Since unj → ψ−1(v) almost everywhere in Q, then u±nj → [ψ−1(v)]± almost everywhere in Quincy S. Nkombo, Fengquan Li / Eur. J. Pure Appl. Math, 14 (1) (2021), 204-233 221 Q. By (5.14) and (5.16), then we infer from Fatou’s Lemma∫ Q [ψ−1(v)]+ξ(x, t)dxdt ≤ lim inf j→∞ ∫ Q u+ nj ξ(x, t)dxdt ≤ 〈u, ξ〉Q . Similarly, we have∫ Q [ψ−1(v)]−ξ(x, t)dxdt ≤ lim inf j→∞ ∫ Q u−nj ξ(x, t)dxdt ≤ 〈ũ, ξ〉Q for every ξ ∈ Cc(Q), ξ ≥ 0, thus defining λ1 = u− [ψ−1(v)]+ and λ2 = ũ− [ψ−1(v)]−. Hence, λ1 , λ2 ∈ L∞((0, T ),M+(Ω)) hods true. � Proposition 5.4. Let u and v be in Proposition 5.3 and Proposition 5.1. Then for almost every t ∈ (0, T ), we have unj (·, t)→ [ψ−1(v)](·, t) a.e in Ω. (5.18) u+ nj (t) ∗ ⇀ [ψ−1(v)]+(·, t) + λ1(·, t) in M+(Ω). (5.19) u−nj (·, t) ∗⇀ [ψ−1(v)]−(·, t) + λ2(·, t) in M+(Ω). (5.20) unj (·, t) ∗ ⇀ [ψ−1(v)](·, t) + λ(·, t) in M+(Ω). (5.21) Proof. This proof is similar to that given in [18, 24]. Let us recall the statement of the function F which belongs to C2(R+) (see [18, Proposition 4.3]. Let un be the solution of the problem (Pn), and F ∈ C2(R+), then for any ρ ∈ C1 c (Ω), ρ(x) ≥ 0 and there exists a zero Lebesgue measure set H such that (0, T ) \H, the following identity is satisfied∫ Ω F(un)(x, t)ρ(x)dx− ∫ Ω F(un)(x, 0)ρ(x)dx = = ∫ T 0 ∫ Ω { −F ′(un)∇ψ(un)∇ρdx− F ′′(un) ψ′(un) | ∇ψ(un) |2 ρ } dxdt+ + ∫ T 0 ∫ Ω µnF ′(un)ρdxdt. (5.22) The convergence (5.18) immediately follows from (5.3). Next let us fix J > 1 and we consider the functions FJ , RJ ∈ C2(R+) defined as follows FJ(s) =  0 if 0 ≤ s ≤ J, s− J if J ≤ s ≤ J + 1, s− J if s ≥ J + 1, Quincy S. Nkombo, Fengquan Li / Eur. J. Pure Appl. Math, 14 (1) (2021), 204-233 222 and RJ(s) = s−FJ(s) (s ∈ R+) and RJ(s)χ{s≥J+1} = J . Let us consider the function Hn belongs to C1(R+) by setting Hn,ρ(t) = ∫ Ω FJ(un(x, t))ρ(x)dx. By (4.1), there exists a positive constant C such that∫ T 0 | Hn,ρ(t) | dt ≤‖ ρ ‖L∞(Ω) ∫ T 0 ∫ Ω u+ n (x, t)dxdt ≤ C where C = C [ T, ‖ ρ ‖L∞(Ω), ‖ u0 ‖M+(Ω), ‖ µ ‖M+(Q) ] > 0. Thus Hn,ρ ∈ L1(0, T ) for every ρ ∈ C1 c (Ω). Furthermore by (5.22) yields∫ T 0 ∣∣∣∣dHn,ρ(t)dt ∣∣∣∣ dt ≤ ∫ T 0 ∫ Ω F ′J(un) | ∇ψ(un) |2| ∇ρ | dxdt+ + ∫ T 0 ∫ Ω F ′′(un) ψ′(un) | ∇ψ(un) |2 ρdxdt+ ∫ T 0 ∫ Ω µnF ′(un)ρdxdt. (5.23) By properties of sequence {FJ(un)}J>1 mentioned above and ρ ∈ C1 c (Ω), there exists a positive constant C = C [ ‖ ρ ‖L∞(Ω), ‖ u0 ‖M+(Ω), ‖ µ ‖M+(Q) ] > 0 such that∫ T 0 ∣∣∣∣dHn,ρ(t)dt ∣∣∣∣ dt ≤ C. Thus the family Hn,ρ is uniformly bounded in W 1,1(0, T ). Hence there exist a subsequence { Hnj ,ρ } ⊆ {Hn,ρ} and a function Hρ ∈ L1(0, T ) such that Hnj ,ρ → Hρ in L1(0, T ). (5.24) By the properties of the function FJ , the function RJ is continuous and bounded in R+, then the convergence (5.10) and the dominated convergence theorem imply that RJ(unj )→ RJ ( ψ−1(v) ) in L1(Q). (5.25) By (5.10), (5.11) and the definition of RJ , we have FJ(unj ) = u+ nj −RJ(unj ) ∗ ⇀ [ ψ−1(v) ]+ +λ1−RJ ( ψ−1(v) ) = FJ ( ψ−1(v) ) +λ1 in M+(Q). (5.26) In view of (5.24) and (5.26), for any h ∈ Cc(0, T ) and ρ ∈ C1 c (Ω) we get∫ T 0 Hρ(t)h(t)dt = lim j→∞ ∫ T 0 Hnj ,ρ(t)h(t)dt = lim j→∞ ∫ Q FJ(unj )ρ(x)h(t)dxdt = = ∫ T 0 h(t) 〈 FJ ( ψ−1(v)(·, t) ) + λ1(·, t), ρ 〉 Ω dt. Quincy S. Nkombo, Fengquan Li / Eur. J. Pure Appl. Math, 14 (1) (2021), 204-233 223 Then by the above equality, we deduce that Hρ(t) = 〈 FJ ( ψ−1(v)(·, t) ) + λ1(·, t), ρ 〉 Ω for almost every t ∈ (0, T ) and Hj,ρ → 〈 FJ ( ψ−1(v)(·, t) ) + λ1(·, t), ρ 〉 Ω in L1(0, T ) for any ρ ∈ C1 c (Ω). � Proof of Theorem 3.3. Let us show that for every ρ ∈ C1 c (Ω), ρ ≥ 0 and for almost every τ ∈ (0, T ), there exists a Radon measure ντ ∈M+(Ω) such that 〈λ1(τ), ρ〉Ω ≤ 〈 [u0s] + + [ντs ]+, ρ 〉 Ω , (5.27) 〈λ2(τ), ρ〉Ω ≤ 〈 [u0s] − + [ντs ]−, ρ 〉 Ω . (5.28) We prove the first inequality (5.27) and the second one follows by similar argument. Fix any ρ ∈ C1 c (Ω), ρ ≥ 0 and we consider the sequence {FJ(un)} as mentioned above and we use it in (5.22), then we obtain for every τ ∈ (0, T )∫ Ω FJ(un)(x, τ)ρ(x)dx− ∫ Ω FJ(u0n)(x)ρ(x)dx ≤ − ∫ τ 0 ∫ Ω F ′J(un)∇ψ(un)∇ρdxdt+ ∫ τ 0 ∫ Ω µnF ′J(un)ρdxdt. (5.29) Let us consider { unj } the sequence given in Proposition 5.1 and Proposition 5.2 and let us take the limit as j tends to infinity in (5.29) (with n = nj). By (5.2), (5.3) and the fact that { F ′J(unj ) } is bounded in L∞(Q), there holds lim j→∞ ∫ τ 0 ∫ Ω F ′J(unj )∇ψ(unj )∇ρdxdt = ∫ τ 0 ∫ Ω F ′J(ψ−1(v))∇v∇ρdxdt. In view of the definition of the sequence { F ′J(unj ) } , yields 0 ≤ F ′J(unj ) ≤ 1 , F ′J(unj )→ 0 as J →∞ and ψ−1(v) ∈ L1(Q). It follows that lim J→∞ lim j→∞ ∫ τ 0 ∫ Ω F ′J(ψ−1(v))∇v∇ρdxdt = 0. (5.30) On the other hand, by (5.26) one has lim j→∞ ∫ Ω FJ(unj (x, τ))ρ(x)dx = ∫ Ω FJ(ψ−1(v))(x, τ)dx+ 〈λ1(τ), ρ〉Ω . Referring to the definition of the sequence {FJ(un)}J>1, we infer that 0 ≤ FJ(unj ) ≤ 1 , FJ(unj )→ 0 as J →∞ and ψ−1(v) ∈ L1(Q). Quincy S. Nkombo, Fengquan Li / Eur. J. Pure Appl. Math, 14 (1) (2021), 204-233 224 Then we obtain lim J→∞ lim j→∞ ∫ Ω FJ(un(τ))ρ(x)dx = 〈λ1(τ), ρ〉Ω . (5.31) Let us consider the sequence {u0n(x)} satisfies (3.3), then FJ(u0nj ) = [u0nj ] + −RJ(u0nj ) ≤ [u0rnj ] + + [u0sn]+ −RJ(u0nj ). Since u0rnj → u0r in L1(Ω) and the sequence { RJ(u0rnj ) } is bounded in L∞(Ω), we obtain [u0rnj ] + −RJ(u0nj )→ [u0r] + −RJ(u0r) = FJ(u0r) in L1(Ω) which leads to lim J→∞ lim sup j→∞ ∫ Ω FJ(u0nj )ρ(x)dx ≤ 〈 [u0s] +, ρ 〉 Ω . (5.32) Let us now consider the function ηr,s constructs from the function ηr,s given in Proposition 5.2 as follows ηr,s(t) = ∫ t t+r+2s ηr,s(θ)dθ for every θ ∈ (0, T ) we deduce that∫ τ 0 ∫ Ω µnjF ′J(unj )ρdxdt = ∫ τ 0 ∫ Ω µnj ( 1− ηr,s(t) ) F ′J(unj )ρdxdt+ + ∫ τ 0 ∫ Ω µnjηr,s(t)F ′J(unj )ρdxdt. (5.33) Since { µnj } is a nonnegative bounded Radon-measure, and the function 1− ηr,s(t) is bounded in R+, there holds lim sup j→∞ ∫ τ 0 ∫ Ω µnj ( 1− ηr,s(t) ) F ′J(unj )ρdxdt ≤ ∫ τ 0 〈 µ, ρFJ(ψ−1(v)) ( 1− ηr,s(t) )〉 dt. Letting J to infinity, we obtain lim J→∞ lim sup j→∞ ∫ τ 0 ∫ Ω µnj ( 1− ηr,s(t) ) F ′J(unj )ρdxdt = 0. (5.34) By [11, Theorem 8, p.85], there exist νtnj ∈M+(Ω) and δ0 ∈M+(0, T ) for µnj ∈M+(Q) such that (5.33), becomes∫ τ 0 ∫ Ω µnjηr,s(t)F ′J(unk )ρdxdt ≤ ηr,s(0) ∫ Ω ντnj FJ(unj )ρdx ≤ (4r + 2s) ∫ Ω ντnj FJ(unj )ρdx. Setting r = 1 8 and s = 1 4 , then∫ τ 0 ∫ Ω µnjηr,s(t)F ′J(unj )ρdxdt ≤ ∫ Ω [ντs ]+nj ρdx+ ∫ Ω [ντr ]+nj FJ(unj )ρdx. Quincy S. Nkombo, Fengquan Li / Eur. J. Pure Appl. Math, 14 (1) (2021), 204-233 225 Therefore, lim J→∞ lim sup j→∞ ∫ τ 0 ∫ Ω µnjF ′J(unj )ρdxdt ≤ 〈 [ντs ]+, ρ 〉 Ω . (5.35) Combining (5.30), (5.31), (5.32), (5.34) and (5.35) together. Hence (5.27) holds true. � Remark 5.1. By the assumptions (I) and (J), it has been proved that (i) the set S̃ = {(x, t) ∈ Ω/ψ(ur)(x, t) = γ} has zero Lebesgue measure (see [23, Proposition 5.2]). (ii) There hold supp(u(x, t)) ⊆ S̃ and ur = ψ−1(v) a.e in Q \ S̃ (see [30, Proposition 4.1]). 6. Monotonicity and Uniqueness Results Lemma 6.1. Under assumption (I). If u is a weak solution of the problem (P ). Then (i) there exist a zero Lebesgue measure set D ⊆ (0, T ) and a positive constant c such that ess lim t→0+ ∫ Ω u(·, t)dx = c (6.1) (ii) for any ρ ∈ C2 0 (Ω), ρ ≥ 0, there holds ess lim t→0+ 〈u(·, t), ρ〉Ω = 〈u0, ρ〉Ω (6.2) for almost every t ∈ (0, T ) \D. Proof. Let us consider for every τ > 0, the smooth function ητ ∈ C1 0 (0, T ), 0 ≤ ητ ≤ 1 such that ητ (t) =  0 if 0 ≤ t ≤ t1 − τ, 1 τ (t+ τ − t1) if t1 − τ ≤ t ≤ t1, 1 if t1 ≤ t ≤ t2, 1 τ (−t+ τ + t2) if t2 ≤ t ≤ t2 + τ, 0 if t2 + τ ≤ t ≤ T. Let us choose ρj(x)ητ (t) as a test function in (P ), there holds∫ T 0 ∫ Ω { −uρj(x)η′τ (t)− ψ(ur)ητ (t)∆ρj(x) } dxdt = ∫ T 0 ∫ Ω µρj(x)ητ (t)dxdt. It is worth observing that the first term of the left hand side of the above equality becomes∫ T 0 ∫ Ω −uρj(x)η′τ (t)dxdt = −1 τ ∫ t1 t1−τ ∫ Ω u(x, t)ρj(x)dxdt+ 1 τ ∫ t2+τ t2 ∫ Ω u(x, t)ρj(x)dxdt. Let us consider a zero Lebesgue measure set Dj in (0, T ) such that for any t1, t2 ∈ (0, T ) \Dj , one has lim τ→0 ∫ T 0 ∫ Ω −uρj(x)η′τ (x, t)dxdt = − ∫ Ω u(x, t1)ρj(x)dx+ ∫ Ω u(x, t2)ρj(x)dx. Quincy S. Nkombo, Fengquan Li / Eur. J. Pure Appl. Math, 14 (1) (2021), 204-233 226 We use a sequence {ρj(x)}j∈N of test functions in Ω such that ρj(x) ∈ C2 0 (Ω), 0 ≤ ρj(x) ≤ 1, ρj(x) → 1 in Ω and −∆ρj(x) ≥ 0 (for instance, ρj(x) = 1−(1− φ)j , where φ is the first eigenfunction of −∆ in H1 0 (Ω), with normalization maxφ = 1)(see [6] reference therein). For every s ∈ (0, T ) \Dj , there holds∫ Ω u(x, t)ρj(x)dx− ∫ Qt ψ(ur)∆ρj(x)dxds = ∫ Qt ρj(x)dµ+ ∫ Ω ρj(x)du0. Let j goes to infinity, then we get that D ≡ ⋃ j∈N Dj which leads to ∫ Ω u(x, t)dx ≤ ∫ Qt dµ+ ∫ Ω du0. Now let us consider {φk} be a sequence of C0(Ω) functions such that 0 ≤ φj ≤ 1, φk → 1 as j →∞. By [12, Lemma 5.1], the following statement hold∫ Ω φjdu0 ≤ 1 j and ∫ Qt φjdµ ≤ 1 j then∫ Qt dµ+ ∫ Ω du0− ∫ Ω u(x, t)dx = ∫ Qt (1− φj) dµ+ ∫ Qt φjdµ+ ∫ Ω (1− φj) du0 + ∫ Ω φjdu0− − ∫ Ω u(x, t)φjdx+ ∫ Ω u(x, t) (φj − 1) dx. Since φj ≤ 1 yields∫ Qt dµ+ ∫ Ω du0 − ∫ Ω u(x, t)dx ≤ ∫ Qt (1− φj) dµ+ ∫ Ω (1− φj) du0 − ∫ Ω u(x, t)φjdx+ 2 j . Since u(x, t) converges to δx, we get lim sup t→0+ ∣∣∣∣∫ Ω du0 − ∫ Ω u(x, t)dx ∣∣∣∣ ≤ ∫ Ω (1− φj) du0 + 2 j . Let j to infinity, there exists a positive constant c such that (6.1) holds. Using the same method as the previous, it is obvious that for every ρ ∈ C2 0 (Ω) ess lim t→0+ 〈u(x, t), ρ〉Ω = 〈u0, ρ〉Ω . Quincy S. Nkombo, Fengquan Li / Eur. J. Pure Appl. Math, 14 (1) (2021), 204-233 227 Hence (6.2) is satisfied. � For every g ∈ C1(R) G(s) = ∫ s 0 g(ψ(z))dz. (6.3) Assuming (I) holds. Let us state the following definition. Definition 6.1. For any µ ∈ M+ d,2(Q) and u0 ∈ M+ d,2(Ω), a measure u is called a weak entropy solution, if u is a weak solution of (P ) such that for every g ∈ C1(R), g′ ≥ 0, g(γ) = 0, the inequality holds∫ Q { g′(ψ(ur)) | ∇ψ(ur) |2 φ+ g(ψ(ur))∇ψ(ur)∇φ−G(ur)φt } dxdt ≤ ∫ Q g(ψ(ur))φdµ+ ∫ Ω G(u0r)φ(0)dx (6.4) for every φ ∈ C1([0, T ], C1 0 (Ω)), φ(., T ) = 0 in Ω and φ ≥ 0. By the Definition 6.1, the existence of weak entropy solutions of problem (P ) is the same as stated in [23, Theorem 2.8]. For that we use entropy inequality to prove the mono- tonicity of solutions given by the following proposition. Proposition 6.1. Suppose that the assumption (I) holds. Let u be a weak entropy solution to the problem (P ). For any ρ ∈ H1 0 (Ω), ρ ≥ 0, then 〈us(·, t2), ρ〉Ω ≤ 〈us(·, t1), ρ〉Ω ≤ 〈u0s, ρ〉Ω (6.5) hols, for almost every t1, t2 ∈ (0, T ); t1 < t2. Proof. Let Gj be the function given in (6.3) and we take g = gj for any j ∈ N. By the Definition 6.1, we obtain∫ Q { g′j(ψ(ur)) | ∇ψ(ur) |2 φ+ gj(ψ(ur))∇ψ(ur)∇φ−Gj(ur)φt } dxdt ≤ ∫ Q gj(ψ(ur))φdµ+ ∫ Ω Gj(u0r)φ(0)dx (6.6) for every φ ∈ C1([0, T ], C1 0 (Ω)), φ(·, T ) = 0 in Ω and φ ≥ 0, where gj(s) =  −1 if s ≤ γ − 1 j , j(s− γ) if γ − 1 j ≤ s ≤ γ, 0 if s ≥ γ. To avoid repeating the same calculation we refer to the proof of [23, Theorem 2.9]. Then by letting j to infinity, we get∫ Q {urφt −∇ψ(ur)∇φ} dxdt ≤ − ∫ Q φdµ− ∫ Ω u0rφ(0)dx. (6.7) Quincy S. Nkombo, Fengquan Li / Eur. J. Pure Appl. Math, 14 (1) (2021), 204-233 228 Combining (6.7) with (3.1), we have − ∫ T 0 〈us(·, t), φt〉Ω dt ≤ 〈u0s, φ(0)〉Ω . (6.8) For any fix 0 ≤ t1 < t2 ≤ T . We consider χr(t) =  1 r ( t− t1 + r 2 ) if t1 − r 2 < t < t1 + r 2 , 1 if t1 + r 2 < t < t2 − r 2 , −1 r ( t− t2 − r 2 ) if t2 − r 2 < t < t2 + r 2 , 0 otherwise, where 0 < r < t2 − t1, such that [t1 − r 2 , t2 + r 2 ] ⊂ (0, T ) (see [30, Theorem 2.5]. For any φ ∈ C1 0 (Ω), ρ ≥ 0 we choose φ(x, t) = ρ(x)χr(t) as a test function in (6.8), one has −1 r ∫ t1+ r 2 t1− r 1 〈us(t), ρ〉Ω dt+ 1 r ∫ t2+ r 2 t2− r 2 〈us(t), ρ〉Ω dt ≤ 0 for almost every 0 < t1 < t2 < T and letting r → 0 in the above inequality, there holds 〈us(·, t2), ρ〉Ω ≤ 〈us(·, t1), ρ〉Ω . Similarly, let us consider for every fixed t1 ∈ (0, T ) χr(t) =  1 if 0 ≤ t ≤ t1, −1 r (t− t1 − r) if t1 ≤ t ≤ t1 + r, 0 if t ≥ t1 + r. Therefore, we can deduce that 1 r ∫ t1+r t1 〈us(·, t), ρ〉Ω dt ≤ 〈u0s, ρ〉Ω . Hence the estimate (6.5) holds true. � Proof of Theorem 3.4. Let u1 , u2 be two very weak solutions obtained as limit of ap- proximation of (P ) with initial data u01n and u02n respectively . Let {u1n}, {u2n} ⊆ L∞(Q) ∩ L2((0, T ), H1 0 (Ω)) be two approximating sequences of solutions to the approxi- mation problem (Pn) and satisfying the assumption (3.9). For every ξ ∈ C2,1(Q) vanishing on ∂Ω× (0, T ) and ξ(·, T ) = 0 in Ω, there holds∫ Q (u1n − u2n) ξtdxdt = − ∫ Q (ψ(u1n)− ψ(u2n)) ∆ξdxdt− − ∫ Q (µ1n − µ2n) ξdxdt− ∫ Ω (u01n − u02n) ξ(x, 0)dx, (6.9) Quincy S. Nkombo, Fengquan Li / Eur. J. Pure Appl. Math, 14 (1) (2021), 204-233 229 where {µ1n}, {µ2n}, {u01n}, and {u02n} are approximating Radon measures satisfying (3.10). For almost every (x, t) ∈ Q, we consider the function an(x, t) defined by an(x, t) = { ψ(u1n(x,t))−ψ(u2n(x,t)) u1n(x,t)−u2n(x,t) if u1n(x, t) 6= u2n(x, t), ψ′(u1n(x, t)) if u1n(x, t) = u2n(x, t). (6.10) Obviously an ∈ L∞(Q) and for every n ∈ N there exists a positive constant Cn such that ess inf (x,t)∈Q an(x, t) ≥ Cn > 0. This ensures that for every z ∈ C2 c (Q), the problem ξnt + an∆ξn + z = 0 in Q ξn = 0 on ∂Ω× (0, T ) ξn(·, T ) = 0 in Ω (6.11) has a unique solution ξn ∈ L∞((0, T ), H2(Ω)) ∩ L2((0, T ), H1 0 (Ω)) with ξnt ∈ L2(Q) (see [8, 19]). Moreover, it can be seen that | ξn(x, t) |≤ (T − t) ‖ z ‖L∞(Q) . (6.12) Let us consider the function η such that for any t1 + 1 < t2 and t1 , t2 ∈ (0, T ) η(t) =  0 if 0 ≤ t ≤ t1, t− t1 if t1 < t < t2, t2 − t1 if t ≥ t2. Choosing η∆ξn as a test function in (6.11), then we obtain∫ Q ξntη(t)∆ξndxdt+ ∫ Q η(t)an(x, t)[∆ξn]2dxdt+ ∫ Q zη(t)∆ξndxdt = 0. (6.13) It follows that 1 2 ∫ Q | ∇ξn |2 dxdt+ ∫ Q an(x, t)[∆ξn]2dxdt ≤ C0(T, z) (6.14) holds, for some constant C0(T, z) independent on n. From (6.12) and (6.14), there exists a constant C1(T, z) such that ‖ ξn ‖L2((0,T ),H1 0 (Ω)) + ‖ √ an∆ξn ‖L2(Q)≤ C1(T, z). (6.15) On the other hand, multiplying (6.11) by ∆ξn, we obtain − ∫ Q ∇ξn∇ξnt + ∫ Q an[∆ξn]2dxdt = − ∫ Q ξn∆zdxdt Quincy S. Nkombo, Fengquan Li / Eur. J. Pure Appl. Math, 14 (1) (2021), 204-233 230 which leads to 1 2 ∫ Ω | ∇ξn |2 (x, 0)dx+ ∫ Q an[∆ξn]2dxdt ≤ C2(T, z), (6.16) where C2(T, z) =‖ ξn ‖L∞(Q)‖ z ‖C2(Q). Therefore, we get ‖ ξn(., 0) ‖H1 0 (Ω) + ‖ √ an∆ξn ‖L2(Q)≤ C2(T, z). (6.17) By standard density argument and for ξ = ξn a test function in (6.9). Moreover, by recalling (6.10) and (6.9), there holds∫ Q (u1n − u2n) zdxdt = ∫ Q (µ1n − µ2n) ξ(x, t)dxdt+ ∫ Ω (u01n − u02n) ξ(x, 0)dx. (6.18) Letting n to infinity in (6.18). Then it is enough to observe from (6.15), there exists ξn ∈ L∞((0, T ), H2(Ω))∩L2((0, T ), H1 0 (Ω)) which is obtained by extracting the subsequence of the sequence {ξn}, such that ξn(x, t) ∗ ⇀ ξ(x, t) in L∞(Q). (6.19) ∇ξn(x, t) ⇀ ∇ξ(x, t) in [L2(Q)]N . (6.20) Since ξnt ∈ L2(Q), as stated in [19], we deduce that ξnt(x, t)→ ξt(x, t) in L2(Q), (6.21) ξn(x, t)→ ξ(x, t) a.e in Q. (6.22) On one hand, it is enough to observe that from (6.17), there exists ξ(·, 0) ∈ L∞(Ω) ∩H1 0 (Ω) such that the following statements ξn(x, 0) ∗ ⇀ ξ(x, 0) in L∞(Ω), (6.23) ξn(x, 0) ⇀ ξ(x, 0) in H1 0 (Ω), (6.24) holds true. 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