The steady state of the inclined problem
Abstract
The inclined problem is a problem that describes an open fluid flowing over an angled wall. It has broad applications in science and engineering. In this paper, we study the steady state of the inclined problem in two dimensions. The steady-state solution is depicted by the Euler-Lagrange equation of a given energy functional with a fixed contact angle as the boundary condition. By choosing a suitable maximal point to parameterize the surface of the fluid, we can construct a solution to this Euler-Lagrange equation via a shooting method in terms of the volume of the fluid. The construction works for any contact angle and any arbitrary inclined angle.
1 Introduction
Fluid mechanics is a fundamental branch of physics and engineering that deals with the behavior of fluids in motion and at rest. In recent years, an increasing number of math studies have focused on this field. One particular area of interest is fluid that flows over inclined surfaces, which is so-called fluid inclined problems. These problems arise in various natural and industrial applications such as the movement of water on sloped terrains, oil transport through pipelines, and the design of spillways and drainage systems[1].
When a fluid interacts with an inclined surface, several forces influence its motion, such as gravity, pressure, and surface tension. It is crucial to understand those effects if we want to predict flow behavior, optimize engineering designs, and improve efficiency in fluid-based systems. Even for the steady state (which means that the velocity of the fluid equals zero everywhere), discussing the balancing between different forces acting on fluids is quite interesting and important. It can give us some information about the moving fluid. Because of this, considerable effort has been devoted to analyze the shape of the equilibrium and steady state by mathematicians and engineers. But there is still a lot of work to do, including theoretical and computational problems.
Based on the practical problems we aim to study, the inclined problem typically falls into two distinct settings. The first involves the motion of a fluid flowing down an inclined surface—for instance, a thin film of fluid sliding down a tilted plane under the influence of gravity. The second setting concerns the motion of an open fluid flowing over an angled wall, as illustrated in Figure 1. This scenario can also be interpreted as a fluid mechanics problem within a triangular container, such as the cross-section of water in a channel. Both settings are common in everyday life and are important to discuss. In this paper, we focus exclusively on the second setting.
1.1 Formulation: Based on the discussion in the Background part, the purpose of this paper is to study the static viscous incompressible fluid occupied in an open-top vessel in two dimensions. The vessel is modeled as an open, connected, bounded triangular subset that obeys the following pair of assumptions. See Figure 1. First, we posit that two inclined angles and that are defined as angles between the wall of the vessel and the horizontal plane are both angles between 0 and . Second, we assume that . Finally, it is assumed that the fluid occupies a subset of the vessel , resulting in a free boundary where the fluid meets the air above the vessel.
In this article, we only discuss the steady state, which is equivalent to finding a static boundary surface. In the scenario depicted in Figure 1, the surface can be represented as a graph of x, which is denoted by v(x). However, this is not always the case; for instance, the boundary curve shown in Figure 3 cannot be represented as a graph of x. This observation forces us to describe the surface in polar coordinates. We choose the intersection point of two vessel walls (denoted point O in Figure 1) as the original point and then use to represent the surface. Then we need to determine the equation that the boundary surface satisfies.

We first write down the energy functional with the conservation of the total volume in the polar coordinates.
(1) |
(2) |
The first term of the functional E defined in (1) is the gravity energy and the second term is the surface tension energy. The third term is the free boundary energy caused by the interface between the fluid and the vessel. The second equation is the conservation of the total energy, where V is an arbitrary given fixed number. To make the model meaningful, we should assume that .
Using the variation method for this energy functional E, we can write down the Euler-Lagrange equation:
(3) |
is the Lagrange multiplier that depends only on the given volume . The purpose of the paper is to construct a solution to the Euler-Lagrange equation (3). Our approach involves selecting a special point and utilizing equation (3) to construct a curve parametrized by the coordinate of this special point, which we designate as special parameters. We then represent the total volume and pressure in terms of these chosen parameters. We finally determine the value of special parameters via a shooting method by setting , thereby obtaining the desired solution function.
We notice that the only unknown parameter in the equation system (3) is . We introduce the following shift to eliminate it:
(4) |
We will see how this shift works in the following sessions.
To better understand the system of equations (3), we define a new variable as follows.
(5) |
which represents the slope angle in Cartesian coordinates. Due to the complexity of its formula, the definition may be difficult to grasp. But figure 2 can explicitly express the geometric meaning of .
1.3 The structure: We introduce the following definition.

(6) | ||||
(7) |
where is defined in (5) and is defined as
(8) |
Then we divide our problem into two cases based on the sign of and .
1.3.1 and have different sign: In Section 2 we show that is a global variable for the boundary curve. See figure 3. Then we consider the equation system (10) which is equivalent to the original equation in (3).
(9) |
where:
(10) |
To derive a formula for the total volume of , we first consider the equation in system (10) without the boundary condition, which is the following equation:
(11) |
From the discussion in Chapter two, we can see that any solution satisfying the system (10) reaches the maximum at an interior point. We define them as follows.
(12) | ||||
(13) |
Using the existence and uniqueness theorem for ODE solution, we can obtain a solution curve by combining (11),(12) and (13) together. Then we have the following theorem for the total volume .


Theorem 1.1.
The functional and pressure can be represented as a function of . And we have the following two asymptotic properties of :
(14) | ||||
(15) |
Note: From Theorem 1.1, we can get a solution to (10) and for any given constant V. Therefore, is the solution to the original system.
1.3.2: Case two: and have the same sign
In this case we can show that the surface curve is a graph of x. See Figure 4. So we discuss the problem in Cartesian coordinates and use to represent the surface curve. We have the equation system below which is equivalent to the system (3):
(16) |
(17) |
(18) |
We mainly discuss this system in Chapter 3.
Just like in the previous case, we examine the equation without boundary conditions first:
(19) |
is defined by the equation (5). Then we choose another special point. We can show that the slope angle reaches its maximum value at some point. We have the following definitions:
(20) |
Here is defined to be the angle such that . Then we choose the point and angle defined by (20) as the initial conditions and get a solution by combining these conditions with (19). We will show the following theorem in Section 3:
Theorem 1.2.
We have two different circumstances.
-
•
When or (without loss of generality, we can assume that ), we have is a constant. We can choose as the independent variable. Then and can be represented as functions of . We have the following result:
and:
-
•
When , we can show and we choose as the independent variable. Then and can be expressed as functions of and we can show the following result:
and:
is a positive constant. Consequently, there exist a such that and a solution function of system (18) for any
Finally, we have the following result:
Theorem 1.3.
, which means that there exists a solution function of the system (18) for any and the solution is not unique when .
1.4 previous work: The study of the functional defined by (1) and (2) begins with analyzing the Euler-Lagrange equation, which is derived by Young[18], Laplace[13], and Gauss[3] along with the boundary condition of the contact angle using variational methods.
For fixed contact angle, Robert Finn investigated the existence of solutions in specific cases[2]. Finn proved the existence of an equilibrium of the sessile drop for any given volume V. In addition, he proved the nonexistence of the equilibrium of a liquid drop on an inclined wall. However, to our knowledge, general contact line problems involving different slopes remain largely unexplored.
In recent work, Guo-Tice[8, 7] studied the dynamic stability of the steady state when . The well-posedness theory of this problem is established by [9, 6, 19], while [4, 5] demonstrates certain decay properties of the water wave in a periodic domain and whole space, which indirectly imply the existence of the steady state. Beyond the contact line problem, Tice has analyzed the dynamics and stability of water waves in various settings related to the contact line problem in his papers [12, 10, 11, 16, 14, 15]. In particular, Tice-Wu[17] examined the dynamic stability of the steady state of the sessile drop which can be viewed as the flat version of the contact line problem where . Tice and Wu also showed the existence and stability of the steady state in their paper [17]. All of these problems involve dynamic contact points and contact angles, making them challenging to solve. Their work has inspired us to study a generalized version of the steady-state problem and has provided valuable insight. In this paper, our objective is to show the existence of a steady state for any given volume V and any incline angle and .
2 The first case:
In this chapter, we discuss the case that and have opposite signs. We begin by discussing the possible shape of the curve in Subsection 2.1 and then compute the total volume using the chosen parameter . Without loss of generality, we can assume that and are as shown in Figure 3 and .
2.1 The shape of the curve
In this subsection, we first assume that the equation system (10) has a solution function. We rewrite the system as follows.
We first use it to study the shape of the solution curve. In fact, we want to show that the slope angle (defined by equation (5)) is a global legal variable for this solution curve. In addition, the y component of the curve reaches its maximum at an angle since and . We let equal the maximum of the y component of the curve(the definition is given by (12)) and we have the following theorem for and .
Theorem 2.1.
(The shape of the surface curve) We define as in equation (5) and is the maximum of the y component of the solution curve. Then and are global legal parameters for the curve, meaning that the boundary curve can be represented as a function of .
Proof.
We first start looking at the shape of the curve. To begin with, we study the curve near the boundary point .
Case 1 :
In this setting, we know that and are both greater than 0. From the first and second equation in the system (10):
(21) |
We know that both and are greater than 0 at the point due to our assumption. Therefore, the curve is locally a map of . We want to show that . We prove this by using a contradiction argument. We suppose that and we separate the main proof into four steps.
Step 1: The local map of can be extended to a map of .
Using the assumption that , we know from (21) that and are equal to or greater than 0 near . So and are both an increasing function of near . Using a bootstrap argument, we can show that and for any . Then we want to extend the curve across the vertical point .
We can solve the first equation in the system (21) by integrating both sides of the equation from to any arbitrary angle to get the following equation:
(22) |
So when , is finite. Therefore, from the (21) we know that:
So, the solution function of the equation system (21) can be extended as a solution of the same system across the point .
When , we have and . Then monotone decreasing and monotone increasing. When , we define .
When we have monotone decreasing and monotone decreasing if . We will prove that in step 2, which means that the curve is symmetric and for any . Therefore, for any , which implies that monotone decreasing. See Figure 3. Again, the curve can be extended across the point due to the same reason as the point and finally it can be extended to the point .

Step 2: The curve constructed in step 1 exhibits the property , which implies the symmetry of the curve.
Applying the equation (22), We have the following equation:
(23) |
for any . We set in equation (22) to obtain:
(24) |
(25) |
which means that or . We assume that there exists a such that . Then . However, we know that from the discussion in step 1. Then we should have . Therefore, there is a such that . We know that either or , which means that or . This contradicts the definition of . So we always have:
(26) |
which is the result we want.
Step 3 The curve we constructed in Step 1 cannot be a solution curve to our system (10).
Using equation (10), we know that the curve should meet with the right wall with the contact angle . Because of this, we need to consider the point . We suppose that the curve meets the right wall at the point . We want to show that this assumption is not true.
From equation (7), we know that is an angle between and . More specifically, we have:
where we used the fact that and equation (6) and (7). This implies that . We suppose that the corresponding point is . See Figure 5. We want to prove that the curve we constructed does not meet the right wall when .
By definition:
We can show that for any angle , is on the left hand side of the right wall. Then using the property , we can show that:
which means that . In addition, we have by using step 2. See Figure 5. We should have to avoid self-intersection. So the point should be on the right hand side of the right wall. Therefore the curve intersects the wall at a point where which contradicts to the assumption.
Therefore, by applying the contact angle condition (7), the curve does not meet the right wall when . However, when , we can use the Step 2 again to obtain . In addition, the curve needs to satisfy the condition to avoid self-intersection. This implies that the point lies left to the left wall. So the curve meets the left wall and even passes across it at some angle between and , which is impossible. Hence, we conclude that .
Step 4: .
From Step 1 to Step 3, we have . Using the equation (19), we observe that decreases as . Suppose there is an angle such that . Applying the same discussion as for the , we find that this assumption leads to a contradiction. So at the maximal point for u where , we must have . Consequently, for every we obtain ensuring that the equation (21) remains well defined for every . Thus is a well-defined global parameter for the surface curve. This completes the proof of Case 1.
Case 2 . In this case, we also do the same discussion as above. Actually, it is even easier since we do not need to consider the extending problem when .
In conclusion, we have shown that is a legal parameter and .
∎
2.2 The existence of the solution function
From the previous subsection, we have the a priori discussion for the boundary curve, which gives us an idea about the shape of the steady state. In this subsection, we discuss the existence of the steady state.
Using Theorem 2.1, we now use to parameterize the curve ( is given by equation (5)). So, the original equation system (3) is equivalent to the equation system (10) after shifting . And we focus on analyzing the system (10) in this subsection.
Using the assumption that and , the curve reaches its maximum at a point . At this point, we must have . See figure 3. Using the existence and uniqueness theorem of ODEs, the solution of this system is uniquely determined once the initial conditions are specified. In other words, we construct the curve using the equation (11) with the initial conditions (12) and (13). Then we use these two new parameters and to derive a formula for the total volume instead of the unknown parameter .
Since the equation system (10) includes two boundary conditions, there is effectively only one independent variable. As a result, both the total volume and can be expressed as functions of this variable, and then we set to determine this variable.
A key challenge in applying the boundary condition in (10) is determining the position of the original point O (the junction of the two walls) after the coordinate change. To be specific, the y-component of its coordinate remains unknown. See the figure 3. In this figure, we know that the y component of O must be to make the system compatible with the shift . However, since is still unknown at this point, we cannot use geometry relations to derive the coordinates of two contact points. Fortunately, we know that the curve hits the left wall and the right wall with contact angles and , which are fixed angles. So once the curve is constructed by the equation (10) with the chosen initial conditions, we can set or to derive their coordinates. This leads to the following theorem.
Theorem 2.2.
( Boundary Points) We suppose that the boundary curve contacts two walls at two contact points and . We have the following computation:
(27) | |||
(28) | |||
(29) | |||
(30) | |||
(31) |
Proof.
Step 1 Proof of (27):
Using the equation (22), we have:
(32) |
We know that and . So we set in the equation (32) to get:
which shows that:
(33) |
Using Theorem 2.1, we know that . Since is the maximum point of the y component of the curve, it follows that as well. Taking square root on both sides of the equation (33), we obtain:
Step 2 Proof of (29):
Using the first equation in the system (10), we have:
(34) |
From equation (32) in the step 1 we can obtain:
(35) |
(36) |
Then we integrate both sides of the equation from 0 to then we to derive the following formula:
which is exactly what we want. In addition, we can use the same computation to derive (30).
∎
We can then express the total volume in terms of and to. Before we derive this formula, we first establish a relationship between and using the geometry relation so that we only have one independent parameter.
Theorem 2.3.
There holds:
(37) | |||
(38) | |||
(39) |
where:
(40) | ||||
(41) |
Remark: Equations (37), (38), and (39) imply that , , , and are all functions of . Consequently, by applying this theorem, can also be expressed as a function of .
Proof.
We suppose that the two walls intersect at the point . The x component of O is zero by our construction of the coordinate, while y component of the point, denoted as , is still unknown. Since the point lies on the left wall which is inclined at , we can derive the following result by using geometry relation:
(42) |
Also, since lies on the right wall which inclined at angle , we have:
(43) |
(44) |
which implies the following relation:
which means that:
This is exactly the equation (37).
Also, using (42), we know that the coordinate of the connecting point O is . And we know that after the shift , coordinates of this point become . So we should have:
which implies that:
This finishes the proof. ∎
Now we have the representation for the and . In order to continue to compute the area, we also care about the sign of . We have the following lemma:
lemma 2.4.
When , . When and , we fix the value of and . Then is an increasing function of .
Proof.
Using Theorem 2.3, we have the formula for :
(45) |
Case one :
We use to denote the numerator of the right hand side of equation (45):
(46) |
When , we know from (6) and (7) that , which implies that . Substituting this into the four equations (The equation (27)-(30)) in theorem 2.2, we obtain:
So we should have by using equation (37).
Case two :
Then we want to compute the general case that . To prove this we need to compute where f is defined as in equation (46).
(47) |
(48) |
and:
(49) |
Then we plug (47), (48) and (49) into equation (46) to compute the first derivative of f with respect to :
(50) |
To continue to the next step, we need to introduce an inequality below :
(51) |
We use Lemma 2.5 which we are going to prove after the main part of the theorem to show this inequality.
We apply inequality (51) to the and obtain:
Also we know from (6) that where is the contact angle. So we have . We plug it back into the inequality above and obtain:
(52) |
Since , we can use the definition of (8) to show that:
which means that . In addition, we have the condition . So we should have and . We plug these results back into equation (52) and obtain:
which finishes the proof. ∎
Then it remains to prove the inequality (51). We have the following lemma:
lemma 2.5.
Proof.
First, if , the lemma is straightforward to prove. Since for any and for any , we can show that:
(53) |
Then we integrate on both sides of the inequality (53) from to and we have the inequality (51) proved.
If , we split the integral into three parts:
For the first term above, we use the fact that for any to obtain that:
(54) |
For the second term and the third term we combine them together and using the fact to obtain:
(55) | ||||
(56) |
Here we use the fact that The terms in (55) are what we are going to keep and we want to show (56) is greater than zero. Using the fact that:
we can show that:
which implies that:
Therefore, we obtain the following result:
(57) |
Remark: Based on Theorem 2.4 we know that when and . In addition, when , is obviously positive by definition (Equation (13)). So we always have when and
Also, Theorem 2.3 and Theorem 2.4 have already guaranteed that we can use to represent . Then we only need to compute the total volume . We split the total volume into five parts. The first part is the region enclosed by , , and the surface curve where . And the second part is the region enclosed by , and the surface curve where . The third part is the triangular area enclosed by , and the left wall. The fourth part is the triangular area enclosed by , and the right wall. The fifth part is the square area enclosed by , , and . We use to to denote them and also use to to represent the volume. See Figure 6.

In addition, there might be some difference between the case and from Theorem 2.3. Therefore, we split our computation into two parts.
2.2.1
We assume that . Then we can compute the volume as follows:
(58) |
Here is defined by equation (31).
Using the same computation, we have the following relations:
(59) |
Also, we can know from the geometry that:
(60) | ||||
(61) | ||||
(62) |
Then we want to find the relation between and .
Remark: Although Figure 6 only shows the case where , the representation of the total volume has the same form when .
Theorem 2.6.
The two volume functional and are both increasing functions of . And when , and converge to . When , and converge to .
Proof.
Since and have similar forms. We only need to prove this theorem for .
Based on a simple observation of equation(58), since the denominator of the term inside the integral converges to .
We then show the monotonicity of the volume . Taking derivative with respect to on both sides of the equation (58), we obtain the following expression:
(63) |
For the first term in the right hand side of equation (63) .we need to study the sign of the integral:
Then we define:
We introduce lemma 2.9 which we will show the the proof after the main proof of this theorem to derive that is positive. So we obtain that is negative. Also by using lemma 2.9 we can know that:
is also positive. So is a negative function.
Therefore, we can rewrite the equation (63) to:
We have , and by using the lemma 2.9 and the fact that . Thus, is non-negative. Therefore is a monotone increasing function of .
Also, by using the formula for we should have:
When , we then have:
We can use Taylor expansion of the function inside the integral near and to get:
Since we know that:
we can show that when . And then we conclude when by using Fatou’s lemma and the fact that is a monotone increasing function of .
We can use the same discussion to prove that obeys the same rules. ∎
Remark: In reality, defined in the above theorem represents the derivative of , implying that is a monotone increasing function of . Similarly, for the same reason, is a monotone increasing function of . And the proof in Theorem 2.6 shows that:
(64) |
and
(65) |
for .
Then we want to build some similar results for , , and . We have the following theorem.
Theorem 2.7.
When , we have for .
Proof.
(66) |
From the equation above, we can observe that when . We then return to equation (66). When we have:
Using the same reason, we have when .
From above computation we can actually show that when . Combining this property with the relation (65), we can obtain:
Based on this result, we can show that:
So we have the theorem proved. ∎
Theorem 2.8.
Proof.
When , we know that using Theorem 2.6.
When , we know that from Theorem 2.6 and Theorem 2.7. So we have:
Since V is a continuous function of , we know that there is at least one such that ∎
By using this theorem we can get the existence of the solution function. However, for its uniqueness it is not easy to prove. Although we know that and are monotone increasing function of . Also, using the computation in the previous theorem and the previous subsection, we know that , , and are increasing functions of . However, the monotonicity of , , and is still unknown. We then need to figure out how to show the monotonicity.
Before proving the final theorem, we first need to prove a lemma which is used to derive the monotonicity of and in Theorem 2.6.
lemma 2.9.
We have the following inequalities
(67) |
for any . And
Proof.
To prove that the integral is non-negative we only need to use the fact that:
we have the last inequality because of the fact that . Then we only need to prove that:
(68) |
We notice that the inequality (68) has a similar form as the inequality (51) which is proved in Lemma 2.5. In fact, we can use the same idea to split the integral into three parts and perform a similar computation as we did in Lemma 2.5. Then we can get the result we want. The proof of function be is the same.
∎
Theorem 2.10.
When and , is a monotone increasing function of
Proof.
We then plug equation (37) into the equation above and obtain:
(69) |
Using a rearrangement of these terms in the right hand side we have:
(70) |
To move on to the next strep, we need introduce following result which we will prove after we prove the main part of this theorem:
(71) |
is a positive monotone increasing function of . Using this result, we then transform equation (70) into:
(72) |
For the first term in (72), it is monotonically increasing since and are monotonically increasing function of (from (64) and (65)). Also, we will show that in Lemma 2.11. So,
is a monotonically increasing function of .
For the second term in (72), we already know that is increasing monotonically by using the remark after Theorem 2.6. In addition, is a positive monotone increasing function using Lemma 2.11. So:
is a monotone increasing function of since a positive increasing function times another positive increasing function is still monotone increasing.
Finally, for the third term, it is monotone increasing since is positive monotone increasing and
is also positive and increasing by using Lemma 2.11. So the third term is increasing.
In conclusion, we should have (72) is an increasing function of . Thus is an increasing function of . ∎
Then we only need to show the lemma.
lemma 2.11.
We assume that and . Then the functions and below
(73) |
(74) |
and:
(75) |
are all positive monotone increasing functions of .
Proof.
We divide our problem into two cases: The first case where , the second case where .
Case 1 :
Based on our assumption that , we should have and . So . We split our proof into three steps.
Step 1: (75) is positive and monotonically increasing.
(76) |
Since , we can obtain:
(77) |
(78) |
which finishes the first step. In fact, this proof also works for Case 2.
Step 2: Computing the first derivative of and with respect to .
We take the derivative of function with respect to and get:
(79) |
(80) |
Noticing that and the integral in equation (79) is positive by Lemma 2.9, this derivative is a positive number. Then we use Lemma 2.9 again to show:
(81) |
For the second term in (79), we use the relation (77) again in the equation (76) and then obtain the following result:
(82) |
We then combine equation (82) and together to obtain:
(83) |
Using the fact that , we have:
Therefore, we only need to care about the sign of the term in (83). We call it . So now we have the formula of the derivative and only need to discuss the sign of a term which only depends on the inclined angles and contact angles.
Step 3: is positive .
Noticing that when , we have:
Then we compute the derivative of function with respect to :
The last inequality is due to the fact that when . So finally we get:
which implies that (73) is increasing monotonically.
For (74), we know that:
Since and are both increasing functions of , must be an increasing function.
Finally, we only need to show the positivity. We use the following fact:
which implies that
(84) |
Then the positivity of and follows from (84) and the monotonicity of the function and .
Case 2 :
In this case, we observe that
are both negative due to the assumption that . So is positive. However,
is negative since , and . So should be positive and so do .
Using the Remark after Theorem 2.6 and Step 1 in Case 1 we have and are monotone increasing function of . So
are monotone decreasing. Therefore, and should be monotone increasing since is negative and we have the lemma proved. ∎
2.2.2
When , we should have . From Theorem 2.6, we already have the monotonicity of and . Then we have the following theorem.
Theorem 2.12.
When and , we have and monotone increasing functions of .
Proof.
First we show the monotonicity for :
By using Theorem 2.4 we know that . So:
is monotone increasing since and are both positive and monotone increasing.
For , we can show that:
is monotone increasing since and are both positive and monotone increasing. So the theorem is proved
∎
Then we can show the following theorem:
Theorem 2.13.
When and and , is a monotonically increasing function of .
In conclusion, we have the following theorem:
Theorem 2.14.
For any given constant V, there exist a and a solution to the equation system (10) such that
Furthermore, is a monotone increasing function of when . Therefore, for any given V, there exists a such that . And when , the choice of and the solution function is unique.
When and , the function curve reaches a minimum at a point . Then we use a similar computation as in the previous case; we can also prove the existence. However, the uniqueness is still unknown in this case.
We then have the following theorem:
Theorem 2.15.
The function we constructed in Theorem 2.14 is exactly the solution function of the system (3) after the shift
Proof.
Using Theorem 2.14, we now have a solution to (10) and for any given V. We then use equation (39) in Theorem 2.3 to obtain the value of .
After the shift , the curve exactly solves the first two equations (9) since they are the solution of the system (10). The only problem is whether it satisfies the boundary condition. In other words, we need to prove that after the shift , the two lines and are the given two walls. Since the incline angles of the two walls are and , we only need to show that the original point of the polar coordinate coincides with the meeting points of the two walls after the shift. This statement is true since this is how we use to represent in Theorem 2.3. So we have the theorem proved. ∎
3 The second case:
In this section, we discuss the case where and have the same sign. We begin with discussing a special case before we derive the theorem regarding the shape of the surface curve. And then we can follow similar methods as in the first case to derive the result we want.
3.1 A special case where and
We also want to first discuss the shape of the function. But it is more complicated than the discussion in Section 2. So we begin with discussing a special case:
Theorem 3.1.
When and , we assume that and the contact angle , we assume that we have a steady state in this case. Then the slope angle (defined by equation (5)) of the curve is neither a monotone increasing function nor a monotone decreasing function of x when the total volume V is large enough.
Proof.
We first consider the problem in Cartesian coordinates whose origin point is at the point where the two different walls connect with each other. Then we have the equation for the free surface (which is the first equation in (18)):
(85) |
where:
is the mean curvature of the curve.
When is less than zero, we integrate both sides of the equation (85) from to to obtain the following inequality:
Since we assume V is big enough, we have the left-hand side of the equation is greater than zero. However, the term on the right-hand side of the equation is non-positive by using the assumption that . So should be greater or equal to zero.
Since , we can derive the following relation from (85):
which implies that:
So if is a monotone function of , then it should be monotone decreasing. But this can not be true since:
(86) |
Theorem 3.1 implies that the shape of the curve differs when and . We now aim to derive a theorem for this special case, which may provide insight into the curve’s shape in the general case.
Theorem 3.2.
The shape of the function
When and , we assume that the contact angle , and we also assume that the steady surface exists.
1: When , is a monotone increasing of x.
2:When . reaches to a maximal value such that .
Proof.
proof of (1): We integrate both sides of the equation (85) from 0 to and get
Using the condition , we have . Then the equation (85) becomes:
So we know that is an increasing function of x and it is a legal global parameter for the curve.
proof of (2): From theorem 3.1, we know when then is not monotone decreasing or increasing and it can reach a maximal value at some point since it is continuous. So we only need to prove that this maximum point .
Step 1
We use a contradiction argument. We suppose that . Then we want to first prove the following property:
We use a contradiction argument and first assume that:
(87) |
We then take derivative with respect to x on the left hand side of the equation (85) to obtain:
(88) |
which implies that:
and:
for x near zero. We choose such that:
This is well-defined since is not a monotone decreasing function of x from the assumption. From the computation in equation (88) we should have when . So . We combine this with the assumption (87) to show that at some . However, by using the definition of , we know that when . So for any . This contradicts to the existence of . So (87) is not true.
Therefore, we have the property that:
(89) |
Suppose that is a maximum value, we have:
We then use (88) to show:
(90) |
Since is the maximum we should have:
which contradicts to (90). So we have .
Step 2: .
We use a contradiction argument again. We suppose that then we can know from the first and second equation of the system (9) we can know that:
(91) |
(92) |
Then we we integrate both sides of the equation (92) from to to show:
(93) |
Where is just a constant such that .
(94) |
Taking derivative on function F with respect to near , we can show that:
(95) |
For the first term of equation (95), it is a smooth function and converges to zero when converges , which means that this function is bounded in a neighborhood of . Then we look at the second term.
(96) |
Then we take Taylor expansion of the right hand side of equation (96) near to show:
(97) |
We know from the definition of constant C:
So we can have the Taylor expansion of the denominator which appears in (97):
We plug it back into the derivative term (97) and get:
(98) |
So for our ODE (94):
3.2 General case when
After discussing this special case, we want to discuss the general case. We first need to assume that . From the previous subsection, we may infer that can serve as a valid global parameter only when is small. This makes the analysis more straightforward in such cases, as we can apply a similar approach to the first case. Therefore, our primary focus should be on the scenario where is large.
The idea:
From Section 3.1, we know that might not be a valid parameter for the boundary curve and attains its maximum value at a point . After applying the shift . We should have . Our goal is to use to express the coordinates of two contact points. See Figure 7.
In addition, the curve seems to be a function of x which intrigues us to integrate both sides of the first equation in the system (18) from to and get the following:
(99) |
Where is defined by the equation (2) and can be rewritten as the following equation in Cartesian coordinates:
(100) |
It is the total volume enclosed by the boundary curve and two walls. Then we only need to determine to make equation the relation between and . Our approach is to first show that x serves as a global variable for the curve and then try to use the specially chosen point to express .
We begin with deriving a theorem concerning the shape of the curve. We assume that V is large enough such that is not a legal global parameter to parameterize the curve. Under this assumption, we establish the following lemma and theorems:
lemma 3.3.
When and the sign of is the same as the sign of , then we have and .
Proof.
First we need to prove that in this case. By definition we have:
and:
Then if we should have by using the equation (8). Since , we should have and . So and have different signs, which contradicts our assumption. So
To prove the theorem, we suppose that . Then . Since , we should have , which means that . So and have different signs, which contradicts our assumption again.
So we should have and are both less than zero. ∎
By using Lemma 3.3 we can get a theorem about the shape of the curve:
Theorem 3.4.
We suppose that and that the boundary curve u is not a function of . We also assume that there exists a solution function for our equation system (10). Then increases from to a negative maximum . And then decreases from the maximal point to . Also, the curve is a graph of x.
Proof.
Since , the curve is a function of x near . We can use the first equation in the system (18). It can be turned into the following form:
(101) |
We first suppose that . Then is a decreasing function in a small neighborhood of . Since , we can easily show when . Then we can repeat the discussion for the point and prove that for any . Finally, we can prove that for any where is a point such that . This part of the curve cannot touch the right wall due to the assumption that is not a global variable.
Similarly to Theorem 2.1, we can extend the solution function to and similarly to . Then using a similar discussion as in Theorem 2.1, we can know that the curve will self-intersect or pass through the left wall, leading to a contradiction.
Thus, we must have and increases to the maximal value . Since is the maximum value, we obtain . We also know from Theorem 3.2 that (Although we only proved Theorem 3.2 in the special case, the proof also works for the general case). Examining equation (101), we see that decreases when , implying that decreases monotonically to as a function of x. This completes the proof. Moreover, we establish for any , confirming that the curve represents a graph of x.
∎

So from Theorem 3.4, we can divide the surface curve into two segments: the first extending from to and the second from to . See the figure 7. And the system (18) provides a global description of the curve. And we use to represent the curve and use to represent the curve after shifting. By making the separation, we establish that each segment of the curve can be parameterized by , which is defined by (5), allowing us to use the equation (11) for each part.
Let be the point where the slope angle reaches its maximum, denoted by . Since it is the maximum value, we must have , implying that the coordinate of the special point is with maximum angle . The remainder of this chapter focuses on using to represent the unknown parameters , , and . We first prove the following theorem in terms of the coordinates of the two contact points:
Theorem 3.5.
We have the following formula for the coordinates of two contact points:
(102) | ||||
(103) | ||||
(104) | ||||
(105) | ||||
(106) |
Proof.
Since each segment of the curve can be parameterized by , the computation is the same as Theorem 2.2. We just use the equation (10) and the corresponding boundary condition to do these computations. ∎
Unlike the previous section, we now separate the curve into two segments, each of which may exhibit different properties. We need to prove that the second part does not intersect the left wall, which implies that .
lemma 3.6.
For any , the curve does not intersect the left wall.
Proof.
Using the construction, we know that the maximal point should be right to the left wall. So we only need to prove that when .
By Theorem 3.4 we know that is a monotonically decreasing function of x. Therefore, it suffices to prove that . From the definition of ((7)), we have and . Using Lemma 3.3, we know that and , which allows us to show:
which means that :
So we have the theorem proved. ∎
Now we have two parameters and , we need to find the relation between these two parameters. We can also use the same idea as Section 2 to compute and get:
(107) |
(108) |
Here and . For the special case , the computation is straightforward and follows a similar approach to Subsection 2.2.2. Therefore, we assume that in the following proof.
We can then compute by determining the y component of the connect point O (the point where two walls meet each other). After the shifting , we know that the y component of the point O is . Also, using the same computation as in Theorem 2.3, we can show . We can obtain . Then we use this expression substituting in the equation (99) and obtain:
(109) |
Now we have the expression for the functional and we want to simplify the representation (109). To achieve this goal, we plug equation (107) into this equation and then we obtain:
(110) |
We call the right-hand side of (110) . Then we have the following theorem:
Theorem 3.7.
If we view and as functions of , then the function f defined below converges to when .
(111) |
Proof.
Step 1 and converge to when .
Using equation (104) we know that:
When , we can use Taylor expansion and get:
We apply this expansion to the integral above:
(112) |
From a simple observation, we know that is a increasing function of when . Therefore, using Fatou’s lemma, we can show that:
which is equivalent to the fact that:
And we can use the same method to prove that when , which completes the proof in step 1
Step 2 The behavior of and as functions of .
Using (102) and (103), we can obtain that when . and when . Both of and are bounded no matter what is.
Step 3: The asymptotic behavior of f.
We examining equation (111). For the first row we have:
whe . This is because
by using step 1 and step 2 and:
by using step 2.
For the second row in the equation in (111) we can show the following result:
(113) |
due to the fact that the first term in equation (113) converges to when . The other terms are bounded for any .
In conclusion, we have when
∎
So from the previous theorem we know that when , the total volume enclosed by the boundary curve and two walls converges to . Then we want to study the minimum bound of the total volume. We have the following theorem:

Theorem 3.8.
The volume functional is bounded from below by a minimum volume which is defined by:
is positive when
Proof.
We also divide the area into several parts. We call the area enclosed by and two walls and the corresponding area . Then we have the total volume . See the figure 7 :
From a simple geometry relation, we obtain:
Then plug the equation (103) and into the equation above and get:
using Lemma 3.6, we know that , which implies that
for any maximal angle . And it equals zero if and only if , which means that is the original point. Then we plug and into the equation (107) to obtain that:
which implies that . We then use (106) to obtain that:
(114) |
The right-hand side of (114) is positive when . Therefore positive when . And is positive when
Furthermore, since is the maximum angle, we have . We already know that when which implies that We then conclude that is bounded below by some constant. Since , we have bounded below by a positive constant . And is positive when
∎
Then we only need to consider the case where V is small, such that . In the previous calculation, we assumed that the maximal angle is not on the boundary. Therefore, we only need to discuss the scenario in which reaches its maximum at the boundary and is either a monotonous increasing function or a monotone decreasing function. So, serves as a legal parameter for the boundary curve in this case.
The remaining computation is similar to Section 2. We proceed with the assumption that the boundary curve meets the left wall at the point . We then derive the following expression for the other contact point:
Theorem 3.9.
We let and be coordinates of two contact points. We have the following results:
1: When , then is a monotone decreasing function of x and we have their expressions as follows:
(115) | ||||
(116) |
2: When , then is a monotone increasing function of x and we have expressions for and as follows:
(117) | ||||
(118) |
Proof.
The proof is the same as Theorem 3.5 and Theorem 2.2 ∎
Then for the remaining part of the discussion we suppose that . If , we can use similar computation. See the figure 8
Just like the proof of the equation (107), we have:
(119) |
We then plug into the equation (119). and then obtain:
(120) |
Next, we express the total volume in terms of and . We divide the total volume into two regions: the first one , is the area enclosed by the boundary curve, the left wall, and ; the second: is the area bounded by two walls and . See the figure 8. The corresponding volumes of these regions are denoted by and , respectively.
We can use the same computation in Section 2 to obtain the following results:
(121) | ||||
(122) |
Based on the computation above, we can now express the total volume in terms of . We combine our ODE (19):
with the result in Theorem 3.9 that is monotonically decreasing to obtain:
which implies that:
Thus, we determine the possible range of values for and proceed to establish the following theorem.
Theorem 3.10.
The total volume is a bounded function of when . And the upper bound is bigger than or equal to .
Proof.
We first prove that is a bounded function of . We notice that it is a continuous function of . Also when , (115) and (116) imply that:
(123) |
(124) |
Then by equation (120), we have:
(125) |
Based on the expression for and ((121) and (122)), we obtain the following result by combining(123),(124) and (125) together:
and:
The above two asymptotic results mean that:
Based on the discussion above, when , is a bounded function of .(Here we only need to care about the point . Based on our previous discussion, the integral in the representation (121) is infinity only when . So the volume functional is bounded at this point since .)
We then only need to show that the upper bound is bigger than or equals . We notice that when , the curve is the same as the curve in Theorem 3.8 when . So we have:
which finishes the proof. ∎
We then combine Theorem 3.8 and Theorem 3.10 to get:
Theorem 3.11.
When and are both acute angles, we have at least one steady state for any total volume V.
We also have two constant and which depend on , , and such that:
3.3 General case when
In this case, the only difference compared with Subsection 3.2 is that and can have the same sign even when .
By definition, we have and . Then we can observe that when , which means that the boundary curve may no longer be a function of x. Therefore, we cannot use equation (99) to derive the equation for . We need to use the method in Section 2 to compute the total volume using the coordinates of a special point. This is the only difference of this subsection compared with Subsection 3.2.
In this section, we only discuss the case . For the case , we can just follow the method in Subsection 3.2. We also assume that for a constant to be determined such that attains its maximum in the interior. And we assume that reaches its maximal point at with the maximal angle .
We suppose that the curve meets two walls at two contact points and . After the shift, they become and . See Figure 9. Then we have the computation (It is the same as the computation in Section two):

(126) | ||||
(127) |
(128) | ||||
(129) |
We also use the same method as in the previous Subsection to derive the relation between and . We should have:
which implies that:
(130) |
Then we use and to express the total volume. By using geometric computation, we have:
(131) |
Then we need to prove the following theorem about the total volume:
Theorem 3.12.
When , we have .
Proof.
Using the computation in Theorem 3.7, we know that:
when for any . So we should have:
when , which means that:
when , which finishes the proof. ∎
Just like the previous subsection, we want to show that has a lower bound .
Theorem 3.13.
The energy functional has a positive lower bound .
Proof.
Using equation (131), we know that:
(132) |
(133) |
We also have the following computation:
(134) |
(135) |
The proof of (135) is the same as the proof in Lemma 2.9. We do not write down the details here. Since , we have . We combine (135) with the fact that and plug them back into the equation (132) to get:
This inequality combined with Theorem 3.12 imply that that is a positive continuous function of . Also when , . So is bounded from below. ∎
Then we want to compute the case when is small. Also we assume that . We suppose that the curve intersects the left wall at the contact point . Then we have the representation and the same as equation (115) and equation (116).
Actually, the representation for and total volume is the same as equation (120), equation (121) and (122). Then we have the theorem:
Theorem 3.14.
The total volume is a function of bounded from above when by a positive constant . And .
Proof.
The proof is the same as Theorem 3.10. ∎
Finally we combine Theorem 3.11, Theorem 3.13, and Theorem 3.14 together to get:
Theorem 3.15.
When and have the same sign, we have the existence of the solution function of the equation system (3)
However, unlike the case in Section 2, we cannot show the uniqueness of the steady state in this case.
ACKNOWLEDGEMENTS
The author thanks Yan Guo for numerous comments. His mentorship and constructive feedback significantly contribute to the development of this work.
This work is supported in part by NSF Grant DMS-2405051.
References
- [1] Yunus Cengel and John Cimbala. Ebook: Fluid mechanics fundamentals and applications (si units). McGraw Hill, 2013.
- [2] Robert Finn. Equilibrium capillary surfaces, volume 284. Springer Science & Business Media, 2012.
- [3] Carl Friedrich Gauss and Carolo Friderico Gauss. Principia generalia theoriae figurae fluidorum in statu aequilibrii. Springer, 1877.
- [4] Yan Guo and Ian Tice. Almost exponential decay of periodic viscous surface waves without surface tension. Archive for Rational Mechanics and Analysis, 207:459–531, 2013.
- [5] Yan Guo and Ian Tice. Decay of viscous surface waves without surface tension in horizontally infinite domains. Analysis & PDE, 6(6):1429–1533, 2013.
- [6] Yan Guo and Ian Tice. Local well-posedness of the viscous surface wave problem without surface tension. Analysis & PDE, 6(2):287–369, 2013.
- [7] Yan Guo and Ian Tice. Stability of contact lines in fluids: 2d stokes flow. Archive for Rational Mechanics and Analysis, 227:767–854, 2018.
- [8] Yan Guo and Ian Tice. Stability of contact lines in fluids: 2d navier–stokes flow. Journal of the European Mathematical Society, 26(4):1445–1557, 2023.
- [9] Yan Guo, Ian Tice, Lei Wu, and Yunrui Zheng. Global well-posedness of contact lines: 2d navier-stokes flow. arXiv preprint arXiv:2407.17895, 2024.
- [10] Juhi Jang, Ian Tice, and Yanjin Wang. The compressible viscous surface-internal wave problem: local well-posedness. SIAM Journal on Mathematical Analysis, 48(4):2602–2673, 2016.
- [11] Juhi Jang, Ian Tice, and Yanjin Wang. The compressible viscous surface-internal wave problem: local well-posedness. SIAM Journal on Mathematical Analysis, 48(4):2602–2673, 2016.
- [12] Chanwoo Kim and Ian Tice. Dynamics and stability of surface waves with surfactants. SIAM Journal on Mathematical Analysis, 49(2):1295–1332, 2017.
- [13] M.de Laplace. Celestial mechanics. Vols. I–IV. Translated from the French, with a commentary, by Nathaniel Bowditch Chelsea Publishing Co., Inc., Bronx, N.Y., (1966).
- [14] Giovanni Leoni and Ian Tice. Traveling wave solutions to the free boundary incompressible navier-stokes equations. Communications on Pure and Applied Mathematics, 76(10):2474–2576, 2023.
- [15] Noah Stevenson and Ian Tice. Well-posedness of the stationary and slowly traveling wave problems for the free boundary incompressible navier-stokes equations. Journal of Functional Analysis, 287(11):110617, 2024.
- [16] Ian Tice and Lei Wu. Dynamics and stability of surface waves with bulk-soluble surfactants. Acta Applicandae Mathematicae, 161:35–70, 2019.
- [17] Ian Tice and Lei Wu. Dynamics and stability of sessile drops with contact points. Journal of Differential Equations, 272:648–731, 2021.
- [18] Thomas Young. Iii. an essay on the cohesion of fluids. Philosophical transactions of the royal society of London, (95):65–87, 1805.
- [19] Yunrui Zheng and Ian Tice. Local well posedness of the near-equilibrium contact line problem in 2-dimensional stokes flow. SIAM Journal on Mathematical Analysis, 49(2):899–953, 2017.