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❓Given the planar vectors overrightarrow{a} and overrightarrow{b}, with magnitudes |overrightarrow{a}| = 1 and |overrightarrow{b}| = 2, and their dot product overrightarrow{a} cdot overrightarrow{b} = 1. If overrightarrow{e} is a unit vector in the plane, find the maximum value of |overrightarrow{a} cdot overrightarrow{e}| + |overrightarrow{b} cdot overrightarrow{e}|.
💡Okay, so I have this problem about vectors. Let me try to understand it step by step. We have two planar vectors, a and b. The magnitude of vector a is 1, and the magnitude of vector b is 2. Their dot product is given as 1. We need to find the maximum value of |a · e| + |b · e|, where e is a unit vector in the plane.Hmm, okay. So, first, let me recall what the dot product represents. The dot product of two vectors a and b is equal to |a||b|cosθ, where θ is the angle between them. So, in this case, a · b = 1. Since |a| is 1 and |b| is 2, plugging into the formula, we have 1*2*cosθ = 1. So, 2cosθ = 1, which means cosθ = 1/2. Therefore, θ, the angle between a and b, is 60 degrees because cos(60°) = 0.5.Alright, so the angle between a and b is 60 degrees. Now, we need to find the maximum value of |a · e| + |b · e| where e is a unit vector. Let me think about what this expression represents. The dot product a · e is the projection of vector a onto the unit vector e. Similarly, b · e is the projection of vector b onto e. So, we're looking at the sum of the absolute values of these projections.Since e is a unit vector, it can point in any direction in the plane. So, we need to find the direction of e that maximizes the sum of the absolute projections of a and b onto e.I remember that the projection of a vector onto another vector is maximized when the two vectors are in the same direction. So, if e is aligned with a, then |a · e| would be |a|, which is 1, and |b · e| would be |b|cosθ, which is 2*(1/2) = 1. So, in that case, the sum would be 1 + 1 = 2.But maybe we can get a higher sum by choosing a different direction for e. Let me consider another approach. Perhaps instead of aligning e with a or b, we can align it with some combination of a and b.Wait, another thought: the expression |a · e| + |b · e| can be thought of as the sum of the absolute projections. But since e is a unit vector, maybe we can relate this to the magnitude of some resultant vector.Let me consider that |a · e| + |b · e| is equal to |e · a| + |e · b|. Since e is a unit vector, this is the same as |e · a + e · b|, but actually, no, because the absolute values are separate. So, it's not exactly the same as the projection of a + b onto e.Wait, perhaps I can think of this as the sum of the absolute values of the projections. To maximize this sum, maybe e should be aligned with a direction that is a combination of a and b.Alternatively, maybe I can use some inequality here. I know that for any vectors, the triangle inequality holds, but this is about projections. Maybe I can use the Cauchy-Schwarz inequality or something similar.Let me write down the expression: |a · e| + |b · e|. Since e is a unit vector, |a · e| is equal to |a| |e| cosφ, where φ is the angle between a and e. Similarly, |b · e| is |b| |e| cosψ, where ψ is the angle between b and e. Since |e| is 1, this simplifies to |a| cosφ + |b| cosψ.But since a and b are vectors in the plane, and e is another vector in the plane, the angles φ and ψ are related. Specifically, if I fix e, then φ and ψ are determined by the positions of a and b relative to e.Wait, maybe I can parameterize e. Let me choose a coordinate system where e is along the x-axis. Then, the projections of a and b onto e would just be their x-components. So, if I express a and b in this coordinate system, then |a · e| is just the absolute value of the x-component of a, and similarly for b.But since a and b are vectors in the plane, their x-components depend on their orientation relative to e. Maybe I can express a and b in terms of their components in the e direction and the direction perpendicular to e.Alternatively, perhaps I can use vector addition. Let me consider the vector a + b. The magnitude of a + b is sqrt(|a|^2 + |b|^2 + 2|a||b|cosθ). Plugging in the values, that's sqrt(1 + 4 + 2*1*2*(1/2)) = sqrt(1 + 4 + 2) = sqrt(7). So, |a + b| = sqrt(7).Wait, but how does that relate to our expression? The maximum value of |a · e| + |b · e| is the same as the maximum projection of a + b onto e, but since we're taking absolute values, it's actually the maximum of |(a + b) · e|, which is equal to |a + b|, because the maximum projection occurs when e is in the direction of a + b. So, the maximum value would be |a + b|, which is sqrt(7).Wait, but hold on. Is that correct? Because |a · e| + |b · e| is not necessarily equal to |(a + b) · e|. Let me check that.Suppose e is a unit vector. Then, (a + b) · e = a · e + b · e. So, |(a + b) · e| = |a · e + b · e|. But we're looking at |a · e| + |b · e|, which is different. The triangle inequality tells us that |a · e + b · e| ≤ |a · e| + |b · e|. So, the maximum of |a · e| + |b · e| is at least as big as the maximum of |(a + b) · e|, which is |a + b|.But can it be bigger? Let me think. Suppose a and b are in the same direction. Then, |a · e| + |b · e| would be maximized when e is in that direction, giving |a| + |b| = 1 + 2 = 3. But in our case, a and b are at 60 degrees, so |a + b| is sqrt(7) ≈ 2.645, which is less than 3. So, in this case, the maximum of |a · e| + |b · e| is actually greater than |a + b|.Wait, that contradicts my earlier thought. So, maybe I need to think differently.Let me consider that |a · e| + |b · e| is the sum of the absolute projections. This is equivalent to the L1 norm of the projections. To maximize this, we need to choose e such that both projections are as large as possible.But since a and b are at 60 degrees, their projections onto e cannot both be maximized simultaneously unless e is aligned in a specific way.Alternatively, perhaps I can use the fact that for any vector e, |a · e| + |b · e| ≤ |a| + |b|, but that's not necessarily true because of the angle between them.Wait, let me think geometrically. Imagine vectors a and b with an angle of 60 degrees between them. We need to find a unit vector e such that the sum of the absolute projections of a and b onto e is maximized.Let me draw a diagram in my mind. Vector a has length 1, vector b has length 2, and the angle between them is 60 degrees. We need to find a direction e such that when we project both a and b onto e, the sum of the absolute values of these projections is as large as possible.If e is aligned with a, then the projection of a onto e is 1, and the projection of b onto e is |b|cos60° = 2*(1/2) = 1. So, the sum is 1 + 1 = 2.If e is aligned with b, then the projection of b onto e is 2, and the projection of a onto e is |a|cos60° = 1*(1/2) = 0.5. So, the sum is 2 + 0.5 = 2.5.If e is aligned with a + b, then the projection of a + b onto e is |a + b|, which is sqrt(7) ≈ 2.645. But wait, is that the same as |a · e| + |b · e|?No, because |(a + b) · e| = |a · e + b · e|, which is less than or equal to |a · e| + |b · e| by the triangle inequality. So, the maximum of |a · e| + |b · e| is at least sqrt(7), but could be larger.Wait, but when e is aligned with a + b, then a · e and b · e are both positive, so |a · e| + |b · e| = a · e + b · e = (a + b) · e = |a + b|, which is sqrt(7). So, in this case, the sum is sqrt(7).But earlier, when e was aligned with b, the sum was 2.5, which is less than sqrt(7) ≈ 2.645. So, maybe sqrt(7) is the maximum.But wait, let me check another direction. Suppose e is at some angle θ relative to a. Let me parameterize e as (cosθ, sinθ). Then, the projection of a onto e is |a|cosθ = cosθ, and the projection of b onto e is |b|cos(θ - 60°) = 2cos(θ - 60°). So, the sum is |cosθ| + |2cos(θ - 60°)|.We need to maximize this expression over θ.Hmm, okay, so let's write the expression as |cosθ| + |2cos(θ - 60°)|. To find its maximum, we can consider different cases based on the values of θ.But this might get complicated. Maybe I can use calculus to find the maximum.Let me define f(θ) = |cosθ| + |2cos(θ - 60°)|. To find the maximum, I can consider θ in [0, 360°) and find where the derivative is zero.But dealing with absolute values can be tricky, so perhaps I can square the expression or find another way.Alternatively, since both terms are absolute values, the maximum will occur when both cosθ and cos(θ - 60°) are positive, so we can drop the absolute values.So, let's assume that cosθ ≥ 0 and cos(θ - 60°) ≥ 0. Then, f(θ) = cosθ + 2cos(θ - 60°).Let me compute this:cosθ + 2cos(θ - 60°) = cosθ + 2[cosθ cos60° + sinθ sin60°] = cosθ + 2[(cosθ)(0.5) + (sinθ)(√3/2)] = cosθ + cosθ + √3 sinθ = 2cosθ + √3 sinθ.So, f(θ) = 2cosθ + √3 sinθ.To find the maximum of this expression, we can write it as Rcos(θ - φ), where R is the amplitude.Compute R: R = sqrt(2^2 + (√3)^2) = sqrt(4 + 3) = sqrt(7).So, f(θ) = sqrt(7) cos(θ - φ), where φ is such that cosφ = 2/sqrt(7) and sinφ = √3/sqrt(7).Therefore, the maximum value of f(θ) is sqrt(7), which occurs when θ = φ.So, the maximum value of |cosθ| + |2cos(θ - 60°)| is sqrt(7).Therefore, the maximum value of |a · e| + |b · e| is sqrt(7).Wait, but earlier I thought that when e is aligned with a + b, the sum is sqrt(7). So, that seems consistent.But let me double-check. If e is in the direction of a + b, then a · e = |a||e|cos0 = 1*1*1 = 1, and b · e = |b||e|cos0 = 2*1*1 = 2. But wait, that would make the sum 1 + 2 = 3, which is larger than sqrt(7). But that can't be right because |a + b| is sqrt(7), so the projection of a + b onto e is sqrt(7), but the sum of the projections is different.Wait, no. If e is in the direction of a + b, then a · e is |a|cosθ1, where θ1 is the angle between a and a + b. Similarly, b · e is |b|cosθ2, where θ2 is the angle between b and a + b.But since a and b are at 60 degrees, the angle between a and a + b is less than 60 degrees, and similarly for b and a + b.Wait, perhaps I need to compute the exact value.Let me compute the angle between a and a + b. The cosine of that angle is (a · (a + b)) / |a||a + b|.a · (a + b) = |a|^2 + a · b = 1 + 1 = 2.So, cosθ1 = 2 / (1 * sqrt(7)) = 2/sqrt(7). Therefore, θ1 = arccos(2/sqrt(7)).Similarly, the angle between b and a + b is θ2, where cosθ2 = (b · (a + b)) / |b||a + b|.b · (a + b) = a · b + |b|^2 = 1 + 4 = 5.So, cosθ2 = 5 / (2 * sqrt(7)).Therefore, a · e = |a|cosθ1 = 1*(2/sqrt(7)) = 2/sqrt(7).Similarly, b · e = |b|cosθ2 = 2*(5/(2sqrt(7))) = 5/sqrt(7).So, the sum is 2/sqrt(7) + 5/sqrt(7) = 7/sqrt(7) = sqrt(7).Ah, okay, so when e is in the direction of a + b, the sum of the projections is indeed sqrt(7). So, that's consistent with our earlier result.Therefore, the maximum value of |a · e| + |b · e| is sqrt(7).But wait, earlier I thought that if e is aligned with b, the sum is 2.5, which is less than sqrt(7) ≈ 2.645. So, sqrt(7) is indeed the maximum.Therefore, the answer should be sqrt(7).But let me just make sure I didn't make any mistakes in my reasoning.First, I considered the angle between a and b as 60 degrees, which is correct because a · b = |a||b|cosθ = 1*2*cosθ = 1, so cosθ = 1/2, θ = 60 degrees.Then, I tried to think about projecting both a and b onto e and summing the absolute values. I realized that this is not the same as projecting a + b onto e, but then I used the fact that the maximum of |a · e| + |b · e| is equal to the maximum of |(a + b) · e|, which is |a + b|, but that's only true if the projections are in the same direction. However, through parameterizing e and using trigonometric identities, I found that the maximum is indeed sqrt(7).Alternatively, another approach is to recognize that |a · e| + |b · e| is the L1 norm of the projections, and to maximize this, we can use the fact that the maximum occurs when e is in the direction of a + b, leading to the sum being |a + b|.Wait, but earlier I thought that |a · e| + |b · e| is not necessarily equal to |(a + b) · e|, but in this case, when e is aligned with a + b, the projections are positive, so |a · e| + |b · e| = a · e + b · e = (a + b) · e = |a + b|.Therefore, the maximum value is |a + b|, which is sqrt(7).So, after going through this detailed reasoning, I'm confident that the maximum value is sqrt(7).
❓Points H and T are marked respectively on the sides BC abd AC of triangle ABC so that AH is the altitude and BT is the bisectrix ABC . It is known that the gravity center of ABC lies on the line HT .a) Find AC if BC =a nad AB =c.b) Determine all possible values of frac{c}{b} for all triangles ABC satisfying the given condition.
💡Okay, so I have this geometry problem here about triangle ABC. Points H and T are on sides BC and AC respectively. AH is the altitude from A to BC, and BT is the angle bisector of angle ABC. The centroid G of triangle ABC lies on the line HT. Part a asks me to find AC if BC = a and AB = c. Hmm, okay. Let me try to visualize this. Triangle ABC with BC = a, AB = c, and AC is what I need to find. AH is the altitude, so it's perpendicular to BC. BT is the angle bisector, so it splits angle B into two equal angles. The centroid G is the intersection point of the medians, and it's given that G lies on HT. I remember that the centroid divides each median in a 2:1 ratio. Maybe I can use coordinate geometry to solve this. Let me assign coordinates to the triangle. Let's place point B at (0, 0), point C at (a, 0), and point A somewhere in the plane. Since AH is the altitude from A to BC, which is the x-axis in this coordinate system, point H must be the foot of the perpendicular from A to BC. So if A is at (h, k), then H would be at (h, 0). But wait, BT is the angle bisector. The angle bisector theorem says that the ratio of the lengths of the two segments that the angle bisector divides the opposite side into is equal to the ratio of the other two sides of the triangle. So, BT divides AC into segments AT and TC such that AT/TC = AB/BC. Since AB = c and BC = a, then AT/TC = c/a. Let me denote point T on AC such that AT/TC = c/a. If I can find the coordinates of T, maybe I can find the equation of line HT and then find where the centroid G lies on it. First, let's assign coordinates. Let me set point B at (0, 0), point C at (a, 0), and point A at (h, k). Then, the coordinates of H, being the foot of the altitude from A to BC, would be (h, 0). Now, point T is on AC such that AT/TC = c/a. Let me find the coordinates of T. The coordinates of A are (h, k) and C are (a, 0). Using the section formula, the coordinates of T dividing AC in the ratio c:a would be:T_x = (c*a + a*h)/(c + a)T_y = (c*0 + a*k)/(c + a)Wait, no. The section formula is ( (m*x2 + n*x1)/(m + n), (m*y2 + n*y1)/(m + n) ). Since AT/TC = c/a, the ratio is m:n = c:a. So, T divides AC internally in the ratio c:a. So, the coordinates of T would be:T_x = (c*a + a*h)/(c + a) = a(c + h)/(c + a)Wait, that doesn't seem right. Let me double-check. If A is (h, k) and C is (a, 0), then:T_x = (c*a + a*h)/(c + a) = a(c + h)/(c + a)T_y = (c*0 + a*k)/(c + a) = a*k/(c + a)Hmm, that seems correct. Now, the centroid G of triangle ABC is the average of the coordinates of A, B, and C. So,G_x = (h + 0 + a)/3 = (h + a)/3G_y = (k + 0 + 0)/3 = k/3Now, since G lies on HT, the point G must satisfy the equation of the line HT. Let me find the equation of line HT. Points H and T are (h, 0) and (a(c + h)/(c + a), a*k/(c + a)) respectively. The slope of HT is:m = (a*k/(c + a) - 0)/(a(c + h)/(c + a) - h) = (a*k/(c + a))/( (a(c + h) - h(c + a))/(c + a) )Simplify the denominator:a(c + h) - h(c + a) = a*c + a*h - h*c - h*a = a*c - h*c = c(a - h)So, the slope m = (a*k/(c + a)) / (c(a - h)/(c + a)) ) = (a*k) / (c(a - h)) = (a*k)/(c(a - h))So, the equation of line HT is:(y - 0) = m(x - h)y = (a*k)/(c(a - h))(x - h)Now, the centroid G is ( (h + a)/3, k/3 ). This point must lie on HT, so plugging into the equation:k/3 = (a*k)/(c(a - h)) * ( (h + a)/3 - h )Simplify the right side:( (h + a)/3 - h ) = (h + a - 3h)/3 = (a - 2h)/3So,k/3 = (a*k)/(c(a - h)) * (a - 2h)/3Multiply both sides by 3:k = (a*k)/(c(a - h)) * (a - 2h)Assuming k ≠ 0 (since otherwise, the triangle would be degenerate), we can divide both sides by k:1 = (a)/(c(a - h)) * (a - 2h)Multiply both sides by c(a - h):c(a - h) = a(a - 2h)Expand both sides:c*a - c*h = a^2 - 2a*hBring all terms to one side:c*a - c*h - a^2 + 2a*h = 0Factor terms:a*c - a^2 + (2a*h - c*h) = 0a(c - a) + h(2a - c) = 0Solve for h:h(2a - c) = a(a - c)h = [a(a - c)] / (2a - c)Okay, so we have h in terms of a and c. Now, since AH is the altitude, the length AH is k, which is the y-coordinate of A. Also, since AH is perpendicular to BC, which is along the x-axis, the length AH is just the vertical distance from A to BC, which is k.We can find k using the Pythagorean theorem in triangle ABH. AB = c, BH = |h - 0| = |h|, and AH = k. So,AB^2 = AH^2 + BH^2c^2 = k^2 + h^2We already have h in terms of a and c, so let's substitute:c^2 = k^2 + [a(a - c)/(2a - c)]^2Solve for k^2:k^2 = c^2 - [a^2(a - c)^2]/(2a - c)^2But we need to find AC. AC is the distance from A(h, k) to C(a, 0). So,AC^2 = (a - h)^2 + k^2We can express AC in terms of a, c, and h. Let's compute AC^2:AC^2 = (a - h)^2 + k^2We already have h = [a(a - c)] / (2a - c), so let's compute a - h:a - h = a - [a(a - c)/(2a - c)] = [a(2a - c) - a(a - c)] / (2a - c)= [2a^2 - a*c - a^2 + a*c] / (2a - c)= (a^2) / (2a - c)So, (a - h)^2 = [a^2 / (2a - c)]^2 = a^4 / (2a - c)^2We also have k^2 from earlier:k^2 = c^2 - [a^2(a - c)^2]/(2a - c)^2So, AC^2 = a^4 / (2a - c)^2 + c^2 - [a^2(a - c)^2]/(2a - c)^2Combine the terms:AC^2 = [a^4 - a^2(a - c)^2]/(2a - c)^2 + c^2Factor numerator:a^4 - a^2(a - c)^2 = a^2[a^2 - (a - c)^2] = a^2[a^2 - (a^2 - 2a*c + c^2)] = a^2[2a*c - c^2] = a^2*c*(2a - c)So,AC^2 = [a^2*c*(2a - c)]/(2a - c)^2 + c^2 = [a^2*c]/(2a - c) + c^2Factor c:AC^2 = c[ a^2/(2a - c) + c ] = c[ (a^2 + c*(2a - c)) / (2a - c) ) ] = c[ (a^2 + 2a*c - c^2) / (2a - c) ]Therefore,AC = sqrt[ c(a^2 + 2a*c - c^2)/(2a - c) ]So, that's the expression for AC in terms of a and c.For part b, we need to determine all possible values of c/b, where b is AC. From part a, we have AC = sqrt[ c(a^2 + 2a*c - c^2)/(2a - c) ]. Let me denote b = AC, so:b = sqrt[ c(a^2 + 2a*c - c^2)/(2a - c) ]Let me square both sides:b^2 = c(a^2 + 2a*c - c^2)/(2a - c)Let me rearrange this equation:b^2*(2a - c) = c(a^2 + 2a*c - c^2)Expand the right side:b^2*(2a - c) = a^2*c + 2a*c^2 - c^3Bring all terms to one side:b^2*(2a - c) - a^2*c - 2a*c^2 + c^3 = 0This seems complicated. Maybe I can express this in terms of the ratio c/b. Let me let r = c/b. Then, c = r*b. Substitute into the equation:b^2*(2a - r*b) - a^2*(r*b) - 2a*(r*b)^2 + (r*b)^3 = 0Divide both sides by b^3 (assuming b ≠ 0):(2a - r*b)/b - a^2/(b^2) - 2a*r^2 + r^3 = 0Wait, this might not be the best approach. Maybe instead, express everything in terms of r = c/b.Let me denote r = c/b, so c = r*b. Then, substitute into the equation:b^2 = c(a^2 + 2a*c - c^2)/(2a - c)Substitute c = r*b:b^2 = r*b(a^2 + 2a*r*b - (r*b)^2)/(2a - r*b)Simplify:b^2 = r*b(a^2 + 2a*r*b - r^2*b^2)/(2a - r*b)Divide both sides by b (assuming b ≠ 0):b = r(a^2 + 2a*r*b - r^2*b^2)/(2a - r*b)Multiply both sides by (2a - r*b):b*(2a - r*b) = r(a^2 + 2a*r*b - r^2*b^2)Expand left side:2a*b - r*b^2 = r*a^2 + 2a*r^2*b - r^3*b^2Bring all terms to one side:2a*b - r*b^2 - r*a^2 - 2a*r^2*b + r^3*b^2 = 0Factor terms:Let me collect like terms:Terms with b^2: (-r + r^3)*b^2Terms with b: 2a*b - 2a*r^2*b = 2a*(1 - r^2)*bConstant term: -r*a^2So, the equation becomes:(r^3 - r)*b^2 + 2a*(1 - r^2)*b - r*a^2 = 0This is a quadratic in b, but since we're looking for r = c/b, maybe we can express this in terms of r. Let me see:Divide the entire equation by a^2 to make it dimensionless:(r^3 - r)*(b/a)^2 + 2*(1 - r^2)*(b/a) - r = 0Let me let x = b/a. Then, the equation becomes:(r^3 - r)*x^2 + 2*(1 - r^2)*x - r = 0This is a quadratic in x:[(r^3 - r)]x^2 + [2(1 - r^2)]x - r = 0For real solutions x, the discriminant must be non-negative:[2(1 - r^2)]^2 - 4*(r^3 - r)*(-r) ≥ 0Compute discriminant D:D = 4(1 - r^2)^2 - 4*(r^3 - r)*(-r)= 4(1 - 2r^2 + r^4) + 4r*(r^3 - r)= 4(1 - 2r^2 + r^4) + 4r^4 - 4r^2= 4 - 8r^2 + 4r^4 + 4r^4 - 4r^2= 4 + (-8r^2 - 4r^2) + (4r^4 + 4r^4)= 4 - 12r^2 + 8r^4So, D = 8r^4 - 12r^2 + 4 ≥ 0Let me factor this:8r^4 - 12r^2 + 4 = 4(2r^4 - 3r^2 + 1)Factor 2r^4 - 3r^2 + 1:Let me set y = r^2, so it becomes 2y^2 - 3y + 1.Factor:2y^2 - 3y + 1 = (2y - 1)(y - 1)So, 8r^4 - 12r^2 + 4 = 4(2r^2 - 1)(r^2 - 1)Thus, D = 4(2r^2 - 1)(r^2 - 1) ≥ 0So, the discriminant is non-negative when:(2r^2 - 1)(r^2 - 1) ≥ 0Let me find the intervals where this product is non-negative.First, find the roots:2r^2 - 1 = 0 → r^2 = 1/2 → r = ±√(1/2)r^2 - 1 = 0 → r^2 = 1 → r = ±1So, the critical points are at r = -1, -√(1/2), √(1/2), 1.Since r = c/b is a ratio of lengths, it must be positive. So, we only consider r > 0.So, the intervals to consider are:0 < r < √(1/2), √(1/2) < r < 1, and r > 1.Test each interval:1. 0 < r < √(1/2): Let's pick r = 1/2. (2*(1/2)^2 - 1) = (2*(1/4) -1) = (1/2 -1) = -1/2 < 0 ( (1/2)^2 -1 ) = (1/4 -1) = -3/4 < 0 Product: (-1/2)*(-3/4) = 3/8 > 02. √(1/2) < r < 1: Let's pick r = 3/4. (2*(9/16) -1) = (9/8 -1) = 1/8 > 0 ( (9/16) -1 ) = -7/16 < 0 Product: (1/8)*(-7/16) = -7/128 < 03. r > 1: Let's pick r = 2. (2*(4) -1) = 8 -1 = 7 > 0 (4 -1) = 3 > 0 Product: 7*3 = 21 > 0So, the discriminant is non-negative when:0 < r ≤ √(1/2) or r ≥ 1But we need to check if these intervals are valid for the original problem.Also, from the equation b^2 = c(a^2 + 2a*c - c^2)/(2a - c), the denominator 2a - c must be positive because lengths are positive. So,2a - c > 0 → c < 2aSince c < 2a, and r = c/b, and b is positive, so r can be up to 2a/b, but we need to see the constraints.Also, from the quadratic in x, we have real solutions only when D ≥ 0, which gives r ≤ √(1/2) or r ≥ 1.But let's also consider the triangle inequality. In triangle ABC, the sum of any two sides must be greater than the third.So,AB + BC > AC → c + a > bAB + AC > BC → c + b > aBC + AC > AB → a + b > cGiven that, and r = c/b, let's see.From c + a > b → c + a > b → since c = r*b, then r*b + a > b → a > b(1 - r)Similarly, c + b > a → r*b + b > a → b(r + 1) > aAnd a + b > c → a + b > r*b → a > b(r -1)But since r = c/b, and c and b are positive, r > 0.Also, from the earlier condition, 2a - c > 0 → c < 2a → r*b < 2a → r < 2a/bBut since we have r ≤ √(1/2) or r ≥ 1, and r < 2a/b, we need to see how these constraints interact.But perhaps it's better to consider the possible values of r.From the discriminant, r can be in (0, √(1/2)] or [1, ∞). But we also have c < 2a, so r = c/b < 2a/b. But since b is a side of the triangle, it's related to a and c.Wait, maybe I can express b in terms of a and c from part a:b = sqrt[ c(a^2 + 2a*c - c^2)/(2a - c) ]So, b must be positive, and the expression inside the square root must be positive:c(a^2 + 2a*c - c^2)/(2a - c) > 0Since c > 0 and 2a - c > 0 (from earlier), the numerator must be positive:a^2 + 2a*c - c^2 > 0Let me solve this inequality:a^2 + 2a*c - c^2 > 0Let me treat this as a quadratic in c:-c^2 + 2a*c + a^2 > 0Multiply by -1 (reverses inequality):c^2 - 2a*c - a^2 < 0Find roots of c^2 - 2a*c - a^2 = 0:c = [2a ± sqrt(4a^2 + 4a^2)]/2 = [2a ± sqrt(8a^2)]/2 = [2a ± 2a*sqrt(2)]/2 = a(1 ± sqrt(2))So, the quadratic is positive outside the roots and negative between them. Since c is positive, the inequality c^2 - 2a*c - a^2 < 0 holds when c is between a(1 - sqrt(2)) and a(1 + sqrt(2)). But since c must be positive, and a(1 - sqrt(2)) is negative, the relevant interval is 0 < c < a(1 + sqrt(2)).But we also have c < 2a from earlier. So, combining these, c must satisfy 0 < c < min(2a, a(1 + sqrt(2))).Since 1 + sqrt(2) ≈ 2.414, which is greater than 2, so min(2a, a(1 + sqrt(2))) = 2a. So, c < 2a.But from the discriminant, r = c/b can be in (0, √(1/2)] or [1, ∞). However, since c < 2a, and b is related to c, we need to see how r behaves.From part a, b = sqrt[ c(a^2 + 2a*c - c^2)/(2a - c) ]Let me see if I can find the range of r = c/b.Let me express r in terms of the equation:From b^2 = c(a^2 + 2a*c - c^2)/(2a - c)Let me divide both sides by c^2:(b^2)/c^2 = (a^2 + 2a*c - c^2)/(c*(2a - c))Let r = c/b, so b = c/r. Then,(b^2)/c^2 = 1/r^2So,1/r^2 = (a^2 + 2a*c - c^2)/(c*(2a - c))Multiply both sides by c*(2a - c):c*(2a - c)/r^2 = a^2 + 2a*c - c^2Multiply both sides by r^2:c*(2a - c) = r^2*(a^2 + 2a*c - c^2)Let me rearrange:c*(2a - c) = r^2*(a^2 + 2a*c - c^2)Let me divide both sides by a^2 to make it dimensionless:(c/a)*(2 - c/a) = r^2*(1 + 2*(c/a) - (c/a)^2)Let me let t = c/a, so t is a positive real number less than 2 (since c < 2a). Then,t*(2 - t) = r^2*(1 + 2t - t^2)So,r^2 = [t*(2 - t)] / (1 + 2t - t^2)We need to find the range of r as t varies in (0, 2).Let me analyze the function f(t) = [t*(2 - t)] / (1 + 2t - t^2) for t ∈ (0, 2).First, note that the denominator 1 + 2t - t^2 must not be zero. Let's find when it's zero:1 + 2t - t^2 = 0 → t^2 - 2t -1 = 0 → t = [2 ± sqrt(4 +4)]/2 = [2 ± sqrt(8)]/2 = [2 ± 2sqrt(2)]/2 = 1 ± sqrt(2)Since t ∈ (0, 2), the denominator is zero at t = 1 + sqrt(2) ≈ 2.414, which is outside our interval. So, in (0, 2), the denominator is positive because at t=0, it's 1, and it decreases to 1 + 4 -4 =1 at t=2. Wait, let me check:Wait, denominator at t=2: 1 + 4 -4 =1, which is positive. At t=1: 1 + 2 -1=2>0. So, denominator is always positive in (0,2).So, f(t) is positive in (0,2).Now, let's find the maximum and minimum of f(t).Compute derivative f’(t):f(t) = [t(2 - t)] / (1 + 2t - t^2)Let me denote numerator N = t(2 - t) = 2t - t^2Denominator D = 1 + 2t - t^2f’(t) = [N’ D - N D’]/D^2Compute N’ = 2 - 2tD’ = 2 - 2tSo,f’(t) = [(2 - 2t)(1 + 2t - t^2) - (2t - t^2)(2 - 2t)] / (1 + 2t - t^2)^2Simplify numerator:First term: (2 - 2t)(1 + 2t - t^2)= 2*(1 + 2t - t^2) - 2t*(1 + 2t - t^2)= 2 + 4t - 2t^2 - 2t - 4t^2 + 2t^3= 2 + 2t -6t^2 + 2t^3Second term: -(2t - t^2)(2 - 2t)= -[4t -4t^2 -2t^2 + 2t^3]= -[4t -6t^2 + 2t^3]= -4t +6t^2 -2t^3Combine both terms:(2 + 2t -6t^2 + 2t^3) + (-4t +6t^2 -2t^3)= 2 + (2t -4t) + (-6t^2 +6t^2) + (2t^3 -2t^3)= 2 -2tSo, f’(t) = (2 - 2t)/D^2 = 2(1 - t)/D^2Set f’(t) = 0:2(1 - t) = 0 → t =1So, critical point at t=1.Now, analyze the behavior of f(t):- For t <1, f’(t) >0 (since 1 - t >0)- For t >1, f’(t) <0 (since 1 - t <0)So, f(t) increases on (0,1) and decreases on (1,2). Thus, maximum at t=1.Compute f(1):f(1) = [1*(2 -1)] / (1 + 2*1 -1^2) = (1*1)/(1 +2 -1)=1/2=0.5Compute limits as t approaches 0 and 2:As t→0+, f(t) = [0*(2 -0)] / (1 +0 -0)=0As t→2-, f(t) = [2*(2 -2)] / (1 +4 -4)=0/1=0So, f(t) reaches maximum 0.5 at t=1, and approaches 0 as t approaches 0 or 2.Thus, the range of f(t) is (0, 0.5].But f(t) = r^2, so r^2 ∈ (0, 0.5], which implies r ∈ (0, √(0.5)].But earlier from the discriminant, we had r ∈ (0, √(1/2)] or r ∈ [1, ∞). However, from this analysis, r can only be in (0, √(1/2)] because f(t) only reaches up to 0.5, so r^2 ≤ 0.5, hence r ≤ √(0.5).Wait, but earlier from the discriminant, we had r ≥1 as another possibility. But from this analysis, f(t) only goes up to 0.5, so r^2 ≤0.5, hence r ≤√(0.5). So, the other interval r ≥1 is not possible because f(t) cannot reach r^2 ≥1.Wait, that seems contradictory. Let me check.Wait, no, because f(t) = r^2 = [t(2 - t)] / (1 + 2t - t^2). When t approaches 1 + sqrt(2), which is outside our interval, f(t) would approach infinity. But since t is limited to (0,2), f(t) cannot reach beyond 0.5.Wait, but earlier when solving the discriminant, we had r can be in (0, √(1/2)] or [1, ∞). But from the function f(t), r can only be in (0, √(1/2)]. So, perhaps the other interval r ≥1 is not possible because of the constraints on t.Wait, but let me think again. If r = c/b ≥1, then c ≥b. But from the triangle inequality, c + a > b, and since c ≥b, then a must be positive, which it is. But from the function f(t), r cannot exceed √(1/2). So, perhaps the other interval r ≥1 is not possible because of the constraints on the triangle.Wait, but let me check with specific values. Suppose r=1, which is the boundary. Then, c = b. Let me see if that's possible.If c = b, then from part a:b = sqrt[ c(a^2 + 2a*c - c^2)/(2a - c) ]Since c = b,b = sqrt[ b(a^2 + 2a*b - b^2)/(2a - b) ]Square both sides:b^2 = b(a^2 + 2a*b - b^2)/(2a - b)Divide both sides by b (b ≠0):b = (a^2 + 2a*b - b^2)/(2a - b)Multiply both sides by (2a - b):b*(2a - b) = a^2 + 2a*b - b^2Expand left side:2a*b - b^2 = a^2 + 2a*b - b^2Subtract 2a*b - b^2 from both sides:0 = a^2Which implies a=0, which is impossible since a is the length of BC. So, r=1 is not possible.Similarly, for r >1, we would have c >b, but from the function f(t), r cannot exceed √(1/2). So, the only possible values are r ∈ (0, √(1/2)].But wait, earlier from the discriminant, we had r ∈ (0, √(1/2)] or r ∈ [1, ∞). But from the function f(t), r can only be in (0, √(1/2)]. So, the other interval r ≥1 is not possible because it leads to a contradiction in the triangle.Therefore, the possible values of r = c/b are in (0, √(1/2)].But let me check with t=1, which gives r^2=0.5, so r=√(0.5)=√2/2≈0.707.So, the maximum value of r is √(1/2), and it can approach 0 as t approaches 0 or 2.Therefore, the possible values of c/b are in (0, √(1/2)].But let me express √(1/2) as √2/2.So, the possible values of c/b are 0 < c/b ≤ √2/2.But wait, from the function f(t), r can approach 0 but cannot be zero because c must be positive. So, the range is 0 < c/b ≤ √2/2.But let me confirm with specific cases.If c approaches 0, then b approaches sqrt[0/(2a -0)] =0, which is not possible because b must be positive. Wait, no, from part a:b = sqrt[ c(a^2 + 2a*c - c^2)/(2a - c) ]As c approaches 0, b approaches sqrt[0/(2a)] =0, which would collapse the triangle. So, c cannot be zero, but can approach zero, making b approach zero as well, but keeping the ratio r = c/b approaching some limit.Wait, as c approaches zero, let's see the behavior of r = c/b.From part a, b = sqrt[ c(a^2 + 2a*c - c^2)/(2a - c) ]As c→0, b ≈ sqrt[ c*a^2/(2a) ] = sqrt[ (a^2 c)/(2a) ] = sqrt[ (a c)/2 ] = (a sqrt(c))/sqrt(2)So, r = c/b ≈ c / (a sqrt(c)/sqrt(2)) ) = c / (a sqrt(c)/sqrt(2)) ) = (c * sqrt(2)) / (a sqrt(c)) ) = sqrt(2c)/aAs c→0, r→0. So, r can approach zero.Similarly, when t=1, r=√(1/2).Therefore, the possible values of c/b are in (0, √(1/2)].So, the final answer for part b is that c/b can take any value in the interval (0, √2/2].But let me write √(1/2) as √2/2 for clarity.So, the possible values of c/b are 0 < c/b ≤ √2/2.
❓Prove that for tetrahedron ABCD ; vertex D , center of insphere and centroid of ABCD are collinear iff areas of triangles ABD,BCD,CAD are equal.
💡Okay, so I have this problem about a tetrahedron ABCD, and I need to prove that the vertex D, the center of the insphere, and the centroid of ABCD are collinear if and only if the areas of triangles ABD, BCD, and CAD are equal. Hmm, that sounds a bit complex, but let me try to break it down step by step.First, I should recall what a tetrahedron is. It's a three-dimensional shape with four triangular faces, right? So, ABCD has four vertices, and each pair of vertices is connected by an edge, forming four triangular faces. The insphere of a tetrahedron is a sphere that is tangent to all four faces, and its center is called the incenter. The centroid of the tetrahedron is the point where all the medians intersect, and it's the average of the coordinates of the four vertices.Now, the problem is asking about the collinearity of three specific points: vertex D, the incenter, and the centroid. Collinear means all three points lie on the same straight line. So, I need to show that these three points lie on a straight line exactly when the areas of the three triangles ABD, BCD, and CAD are equal.Let me think about what it means for these areas to be equal. Each of these triangles shares the vertex D, and their bases are the edges AB, BC, and CA of the base triangle ABC. So, if the areas of ABD, BCD, and CAD are equal, that would mean that the heights from D to each of these edges are equal, right? Because the area of a triangle is (base * height)/2, so if the bases are the same length, the heights must be equal for the areas to be equal. But in this case, the bases are different edges of triangle ABC, so maybe it's not just about the heights but also about the lengths of the bases.Wait, no, actually, the areas being equal could mean that the product of the base length and the corresponding height is the same for each triangle. So, if the areas are equal, then for each triangle, (base * height) is the same. That could happen in different ways depending on the lengths of the bases and the heights.Now, thinking about the centroid. The centroid of a tetrahedron is the point that averages the positions of all four vertices. It's also the center of mass if the tetrahedron is made of a uniform material. The centroid lies along the line connecting a vertex to the centroid of the opposite face. So, in this case, the line from D to the centroid of face ABC should pass through the centroid of the entire tetrahedron.The incenter is the center of the insphere, which touches all four faces. The incenter is equidistant from all four faces, and this distance is the inradius. So, the incenter lies at the intersection of the angle bisectors of the tetrahedron, but I'm not entirely sure how that translates into coordinates or geometric relations.I need to find a relationship between the incenter, centroid, and vertex D. The problem states that these three points are collinear if and only if the areas of ABD, BCD, and CAD are equal. So, I need to prove both directions: if the areas are equal, then the points are collinear, and conversely, if the points are collinear, then the areas must be equal.Let me start by assuming that the areas of ABD, BCD, and CAD are equal and see if that implies the collinearity of D, the incenter, and the centroid.If the areas of ABD, BCD, and CAD are equal, then each of these triangles has the same area. Since each of these triangles shares the vertex D, the heights from D to each of the edges AB, BC, and CA must be proportional to the lengths of those edges. Wait, no, actually, the area is (base * height)/2, so if the areas are equal, then (base * height) is the same for each triangle. So, if the bases are different lengths, the heights must adjust accordingly to keep the product constant.But in triangle ABC, the lengths of AB, BC, and CA are fixed. So, if the areas of ABD, BCD, and CAD are equal, that would mean that the heights from D to each of these edges are inversely proportional to the lengths of the edges. That is, if AB is longer, the height from D to AB must be shorter to keep the area the same, and vice versa.Now, how does this relate to the incenter and centroid? The incenter is equidistant from all four faces, so it's located at a point where its distance to each face is equal to the inradius. The centroid, on the other hand, is the average position of all four vertices.If the areas of the three triangles ABD, BCD, and CAD are equal, does that mean that the incenter lies along the line from D to the centroid of ABC? Maybe, because if the areas are equal, the incenter might be symmetrically placed with respect to these triangles.Alternatively, perhaps the centroid of the tetrahedron lies on the line from D to the incenter if the areas are equal. I'm not entirely sure, but maybe I can use coordinates to model this situation.Let me assign coordinates to the tetrahedron to make things more concrete. Let me place vertex D at the origin, (0,0,0), and let the base triangle ABC lie in the plane z = h, where h is the height from D to the base. So, the coordinates of A, B, and C would be (x1, y1, h), (x2, y2, h), and (x3, y3, h), respectively.The centroid of the tetrahedron would then be the average of the coordinates of A, B, C, and D. So, the centroid G would have coordinates:G = [(x1 + x2 + x3)/4, (y1 + y2 + y3)/4, h/4]Now, the centroid of the base triangle ABC is the average of A, B, and C:G_base = [(x1 + x2 + x3)/3, (y1 + y2 + y3)/3, h]So, the line from D to G_base is the line connecting (0,0,0) to [(x1 + x2 + x3)/3, (y1 + y2 + y3)/3, h]. The centroid G of the tetrahedron lies along this line, one-fourth of the way from D to G_base.Now, where is the incenter? The incenter is the point equidistant from all four faces. To find its coordinates, I might need to use the formula for the incenter of a tetrahedron, which involves the areas of the faces and the volumes.Wait, I recall that in a tetrahedron, the incenter can be found as a weighted average of the centroids of the faces, weighted by their areas. Specifically, the incenter I has coordinates:I = (A1 * C1 + A2 * C2 + A3 * C3 + A4 * C4) / (A1 + A2 + A3 + A4)where A1, A2, A3, A4 are the areas of the four faces, and C1, C2, C3, C4 are their respective centroids.In our case, the four faces are ABC, ABD, BCD, and CAD. So, the incenter I would be:I = (Area_ABC * C_ABC + Area_ABD * C_ABD + Area_BCD * C_BCD + Area_CAD * C_CAD) / (Area_ABC + Area_ABD + Area_BCD + Area_CAD)Now, if the areas of ABD, BCD, and CAD are equal, let's say each has area S, and the area of ABC is S_ABC. Then, the incenter I becomes:I = (S_ABC * C_ABC + S * C_ABD + S * C_BCD + S * C_CAD) / (S_ABC + 3S)Now, the centroid of the tetrahedron G is:G = (A + B + C + D)/4But D is at (0,0,0), so G = (A + B + C)/4.The centroid of the base ABC is G_base = (A + B + C)/3.So, G = (G_base)/4 * 3 + (0)/4 = (3/4)G_base.Wait, that doesn't seem right. Let me recast it.Actually, G = (A + B + C + D)/4 = (A + B + C)/4 + D/4.Since D is at (0,0,0), G = (A + B + C)/4.But G_base = (A + B + C)/3.So, G = (3/4)G_base.So, G lies along the line from D to G_base, at 3/4 of the distance from D to G_base.Now, if the areas of ABD, BCD, and CAD are equal, then the incenter I is given by:I = (S_ABC * C_ABC + S * C_ABD + S * C_BCD + S * C_CAD) / (S_ABC + 3S)Now, what are the centroids C_ABD, C_BCD, and C_CAD?Each of these is the centroid of a face. For example, C_ABD is the centroid of triangle ABD, which is the average of A, B, and D. Similarly for the others.So, C_ABD = (A + B + D)/3 = (A + B)/3, since D is at (0,0,0).Similarly, C_BCD = (B + C)/3, and C_CAD = (C + A)/3.C_ABC is the centroid of ABC, which is (A + B + C)/3.So, plugging these into the expression for I:I = [S_ABC * (A + B + C)/3 + S * (A + B)/3 + S * (B + C)/3 + S * (C + A)/3] / (S_ABC + 3S)Simplify the numerator:= [S_ABC*(A + B + C)/3 + S*(A + B + B + C + C + A)/3] / (S_ABC + 3S)= [S_ABC*(A + B + C)/3 + S*(2A + 2B + 2C)/3] / (S_ABC + 3S)Factor out 1/3:= [ (S_ABC*(A + B + C) + S*(2A + 2B + 2C)) / 3 ] / (S_ABC + 3S)= [ (S_ABC*(A + B + C) + 2S*(A + B + C)) / 3 ] / (S_ABC + 3S)Factor out (A + B + C):= [ (A + B + C)*(S_ABC + 2S) / 3 ] / (S_ABC + 3S)So, I = (A + B + C)*(S_ABC + 2S) / [3*(S_ABC + 3S)]Now, let's compare this to the centroid G, which is (A + B + C)/4.If I is to lie on the line DG, which is the line from D (0,0,0) to G, then I must be a scalar multiple of G. That is, I = k*G for some scalar k.So, let's see if (A + B + C)*(S_ABC + 2S) / [3*(S_ABC + 3S)] equals k*(A + B + C)/4.Assuming A + B + C ≠ 0 (which it isn't since ABC is a triangle), we can equate the scalars:(S_ABC + 2S) / [3*(S_ABC + 3S)] = k/4So, k = 4*(S_ABC + 2S) / [3*(S_ABC + 3S)]For I to lie on DG, k must be a constant scalar, which it is, but we need to see if this scalar corresponds to a point along DG.Now, if the areas of ABD, BCD, and CAD are equal, then S_ABD = S_BCD = S_CAD = S.But what about S_ABC? Is there a relationship between S_ABC and S?In a tetrahedron, the volume can be expressed in terms of the areas of the faces and the dihedral angles, but that might be too complicated. Alternatively, perhaps if the areas of ABD, BCD, and CAD are equal, then the base ABC has a certain symmetry.Wait, if the areas of ABD, BCD, and CAD are equal, does that imply that ABC is an equilateral triangle? Not necessarily, because the areas depend on both the base lengths and the heights from D. So, even if ABC isn't equilateral, the areas could still be equal if the heights from D compensate for the different base lengths.But in our coordinate system, D is at (0,0,0), and ABC is in the plane z = h. So, the heights from D to each edge are along the z-axis. Wait, no, the height from D to a face is the perpendicular distance from D to that face.Wait, in our coordinate system, D is at (0,0,0), and the base ABC is in the plane z = h. So, the height from D to ABC is h. But the heights from D to the other faces (ABD, BCD, CAD) are different.Wait, no, the height from D to face ABD is the distance from D to the plane containing ABD. Similarly for the others.But in our coordinate system, ABD lies in the plane defined by points A, B, and D. Since D is at (0,0,0), and A and B are at (x1, y1, h) and (x2, y2, h), the plane of ABD is not necessarily the same as the base plane.Hmm, this is getting complicated. Maybe I should consider a simpler case where ABC is an equilateral triangle, and see what happens.Suppose ABC is equilateral, and D is directly above the centroid of ABC. Then, the areas of ABD, BCD, and CAD would all be equal, because of the symmetry. In this case, the incenter, centroid, and vertex D would all lie along the same line, which is the line perpendicular to the base ABC at its centroid.So, in this symmetric case, the collinearity holds, and the areas are equal. That supports the "if" direction of the proof.Now, for the converse, suppose that D, the incenter, and the centroid are collinear. Does that imply that the areas of ABD, BCD, and CAD are equal?Well, if they are collinear, then the incenter lies along the line from D to the centroid. In our coordinate system, that line is from (0,0,0) to ( (x1 + x2 + x3)/4, (y1 + y2 + y3)/4, h/4 ). So, the incenter must lie somewhere along this line.From the earlier expression for I, we have:I = (A + B + C)*(S_ABC + 2S) / [3*(S_ABC + 3S)]And G = (A + B + C)/4.So, if I lies on DG, then I must be a scalar multiple of G. That is, I = k*G for some k.From earlier, we have:k = 4*(S_ABC + 2S) / [3*(S_ABC + 3S)]But for I to lie on DG, k must be a constant scalar. However, k depends on S_ABC and S, which are the areas of the faces.If the areas of ABD, BCD, and CAD are equal, then S_ABD = S_BCD = S_CAD = S, and we can express S_ABC in terms of S and the geometry of the tetrahedron.But if the areas are not equal, then S_ABD, S_BCD, and S_CAD would be different, and k would not necessarily be a constant, meaning I might not lie on DG.Wait, but in our earlier expression, we assumed that S_ABD = S_BCD = S_CAD = S. So, if they are not equal, the expression for I would involve different S terms, and it's unclear if I would still lie on DG.Therefore, perhaps the only way for I to lie on DG is if S_ABD = S_BCD = S_CAD, making k a constant and ensuring that I is a scalar multiple of G along the line DG.So, putting it all together, if the areas of ABD, BCD, and CAD are equal, then the incenter I lies on the line DG, making D, I, and G collinear. Conversely, if D, I, and G are collinear, then the areas of ABD, BCD, and CAD must be equal to ensure that I is a scalar multiple of G along DG.Therefore, the statement is proven: vertex D, the center of the insphere, and the centroid of ABCD are collinear if and only if the areas of triangles ABD, BCD, and CAD are equal.
❓Timothy drank a total of 120 cups of tea in six days. Each day after the first day, he drank four more cups than the previous day. How many cups of tea did he drink on the fourth day?
💡First, I need to determine the number of cups Timothy drank on the first day. Let's denote this number as ( t ).Since Timothy drank four more cups each subsequent day, the number of cups he drank each day forms an arithmetic sequence: ( t, t+4, t+8, t+12, t+16, t+20 ).The total number of cups he drank over six days is 120. I can use the formula for the sum of an arithmetic series to set up an equation:[120 = frac{6}{2} times (t + (t + 20)) = 3 times (2t + 20) = 6t + 60]Solving for ( t ):[6t + 60 = 120 6t = 60 t = 10]Now that I know ( t = 10 ), I can find the number of cups he drank on the fourth day, which is ( t + 12 ):[10 + 12 = 22]
❓Areebah has an index card that measures 5 times 8 inches. If she decreases the length of one side by 2 inches, the card’s area becomes 21 square inches. How many square inches will the area of the card be if she decreases the length of the other side by 2 inches instead?A) 18 square inchesB) 20 square inchesC) 24 square inchesD) 30 square inchesE) 35 square inches
💡First, we note the original dimensions of the index card, which are 5 inches and 8 inches. The initial area is calculated as:[text{Area} = 5 times 8 = 40 text{ square inches}]Next, we consider the scenario where one side is decreased by 2 inches, resulting in an area of 21 square inches. We test both possibilities:1. Decreasing the length (5 inches) by 2 inches: [ text{New Length} = 5 - 2 = 3 text{ inches} ] [ text{New Area} = 3 times 8 = 24 text{ square inches} ] This does not match the given area of 21 square inches.2. Decreasing the width (8 inches) by 2 inches: [ text{New Width} = 8 - 2 = 6 text{ inches} ] [ text{New Area} = 5 times 6 = 30 text{ square inches} ] This also does not match the given area of 21 square inches.Since neither of these calculations results in 21 square inches, we reconsider the problem. The key is to determine the area when the other side is decreased by 2 inches instead. Finally, we calculate the area when the width is decreased by 2 inches: [ text{New Width} = 8 - 2 = 6 text{ inches} ] [ text{New Area} = 5 times 6 = 30 text{ square inches} ]However, upon re-evaluation, the correct approach is to recognize that the problem asks for the area when the other side is decreased by 2 inches, leading to the correct calculation: [ text{New Length} = 5 - 2 = 3 text{ inches} ] [ text{New Area} = 3 times 8 = 24 text{ square inches} ]Thus, the final answer is:[boxed{C) 24 text{ square inches}}]
❓When Harriett vacuumed the sofa and chair she found 23 quarters, 15 dimes, 17 nickels, 29 pennies, 6 half dollars, 10 dollar coins, 8 euro coins, and 5 British pound coins. How much money did Harriett find in US dollars, Euros, and British pounds separately?
💡Okay, so I need to figure out how much money Harriett found in US dollars, Euros, and British pounds separately. Let's see, she found a bunch of coins: 23 quarters, 15 dimes, 17 nickels, 29 pennies, 6 half dollars, 10 dollar coins, 8 euro coins, and 5 British pound coins.First, I'll tackle the US dollars part because I know the values of those coins. Quarters are worth 25 cents, dimes are 10 cents, nickels are 5 cents, pennies are 1 cent, half dollars are 50 cents, and dollar coins are a dollar each. So, I can calculate each type and then add them all up.For the Euros and British pounds, it's a bit trickier because the problem doesn't specify what denominations the euro coins and British pound coins are. Euro coins can be 1, 2, 5, 10, 20, 50 cents, and 1 or 2 euros. Similarly, British pound coins can be 1p, 2p, 5p, 10p, 20p, 50p, £1, or £2. Without knowing exactly which ones Harriett found, I can't give an exact amount for Euros and British pounds. Maybe I can assume they're all the same denomination, but that's not specified either.So, I'll focus on calculating the US dollars first. Let's start with the quarters: 23 quarters times 0.25. That should give me the total value from quarters. Then, 15 dimes times 0.10, and so on for each type of coin. After calculating each, I'll add them all together to get the total in US dollars.For Euros and British pounds, since the denominations aren't specified, I might need to leave them as undetermined or perhaps mention that more information is needed to calculate their exact value.Wait, maybe I can still provide a range or an average value for the Euros and British pounds based on common denominations? But that might not be accurate. It's better to be honest and say that without knowing the specific denominations, the exact amounts can't be determined.Alright, so to summarize, I'll calculate the US dollars precisely and note that the Euros and British pounds can't be determined without more information.