Analyzing the cube
I'm thinking through a cube with a 2-unit side length, features like midpoints E and F on the bottom face, and a hole in C1 on the top face.
Setting up coordinates
Mapping out the cube with midpoints E and F on the bottom face, and C1 on the top face, to pinpoint where water might escape.
Charting out the cube
OK, let's consider the cube's corners and midpoints: A(0, 0, 0), B(2, 0, 0), C(2, 2, 0), D(0, 2, 0), A1(0, 0, 2), B1(2, 0, 2), C1(2, 2, 2), D1(0, 2, 2).
Assessing leak potential
I'm checking to see if filling the cube beyond z=0 might cause water to leak out from hole E, which is on the bottom plane. This makes me think about the possibilities.
Reassessing the setup
Evaluating the cube's resting orientation on a surface and pinpointing the hole at E on the bottom face. This prompts a deeper look into how orientation might affect leak risks.
Assessing hole risks
OK, let me see. By assessing F and C1 along with E, I’m examining potential leak spots from the bottom and top. This approach helps pinpoint maximum safe filling volume.
Evaluating leak dynamics
I'm thinking water, if above z=0, could naturally leak through bottom or side holes unless some kind of seal or partition blocks the leak.
Considering the top hole
Hmm, I’m thinking about how the hole at (2,2,2) limits the water level. The water level can't go above z=2, else it would overflow. This seems like a key boundary condition.
Connecting the dots
I'm piecing together the idea that z=0 holes could empty all the water unless an interior partition or air pocket stops this. This seems to be a crucial part to think through.
Analyzing the water plane
I'm working through the idea that the plane through E, F, and C1 might be the water's surface. Water can't go above this plane due to the holes, setting a clear boundary.
Topping off the water
Emphasizing that thanks to the holes, the water level can't top the plane through E, F, and C1. This creates a predictable volume, assuming no leaks are hiding.
Figuring out the plane
OK, let's now figure out the plane equation for E, F, and C1. Then, I'll see which parts of the cube lie below this plane.
Mapping the plane
I'm working out the plane equation for E, F, and C1, and seeing if the origin is below it. Then, I'll calculate the volume of the cube section below this plane.
Piecing together the plane
I calculated the normal vector (2, -2, 1) and figured out the plane equation as 2x - 2y + z - 2 = 0, confirming it passes correctly through E, F, and C1.
Pinpointing the water zone
OK, let me see. The water occupies the region fitting 2x - 2y + z - 2 ≤ 0 in the cube [0,2]^3. Integrating or calculating the geometric volume can reveal this effectively.
Mapping the feasible z
Consider the feasible region in the x-y plane, where z ranges from 0 to min(2, 2 - 2x + 2y). This ensures practicality within the cube.
Mapping out conditions
I'm reviewing the feasible region in the x-y plane with conditions 2 - 2x + 2y ≥ 0 and 0 ≤ x, y ≤ 2, leading to y ≥ x - 1.
Mapping band structures
OK, that's interesting. For x ≤ 1, the y range is broad. For x ≥ 1, y varies but is more constrained by x-1 to 2, forming distinct vertical strips.
Assessing region boundaries
There are two regions: 0 ≤ x ≤ 1 and 1 < x ≤ 2. For both, z max is 2 - 2x + 2y, but limited by the cube boundary z ≤ 2.
Assessing feasibility
OK, let me see. If 2 - 2x + 2y ≥ 2, then y ≥ x. This leads to the water filling the entire column from z=0 to z=2.
Assessing the impact
Interestingly enough, if the water level reaches z=2, it might leak through a hole at (2,2,2). This makes me think the water surface can't exceed the plane E-F-C1.
Navigating water levels
I’m figuring out how the water levels reach the top face of the cube (z=2) or stop at some lower plane defined by 2x - 2y + z - 2 ≤ 0, whichever is lower.
Piecing together regions
Region R is defined by x, y, and z constraints, including subregions A and B, where z ≤ 2 - 2x + 2y or z ≤ 2. This mapping captures the major dynamics effectively.
Analyzing vertical constraints
For Region 1 (0 ≤ x < 1), y spans [0, 2]. Playing with gravity's effect, I see y = x, and y intersects at (1, 1).
Trying another way
OK, let me see. For x in [0,1), y=x-1 is negative, so y≥0 holds true. Simplifying, region A covers x in [0,1), y in [0, x-1].
Defining regions
I’m thinking through regions A and B: for x in [0,1], y ranges from [0,2]; for x in [1,2], y spans [x-1,2]. The plane or top face restricts z's upper bound.
Breaking down calculations
I’m thinking through regions A and B, using a piecewise integral approach to define the volume by integrating over specific constraints for each region.
Confirming region A
OK, let me see. For x in [0,1], region A covers y values from [0, x). This aligns with the constraints y < x and y ≥ 0.
Piecing together constraints
OK, let's confirm region A spans x in [0,2] with y confined by either x or x-1. Region B, meanwhile, consistently holds y ≥ x.
Mapping region B
Region B spans x in [0,2], y in [x,2], forming a triangle above the line y=x within the square domain. This region ensures y ≥ x.
Mapping out regions
I’m digging into regions A and B, integrating volumes by examining constraints and variable relationships. Now I’ll explore the integrals for each region separately.
Crunching the numbers
I’m digging into VA1 by integrating first with respect to y, simplifying the integrand, and then with respect to x. The result after detailed calculations is 2/3.
Assessing volume
Integrating the innermost expression in region B yields 1. Next, I'll complete the integral with respect to x to determine the overall volume of VA2.
Calculating the volume
I’m mapping out the volume for region A by adding VA1 and VA2. For region B, the volume is straightforward: y runs from x to 2.
Assessing volume
I’m curious about the total volume by integrating over regions A and B. After thorough calculations, the final volume comes to 17/3, which is about 5.6667.
Reasoned for 1m 21s