1. The function y = cos(x-π) has a solution in the interval [0, 4π].
2.The exact solution for the equation sin(2x) - 0.25 = 0 in the interval
[0,2π] is x = π/6, 5π/6, 7π/6, and 11π/6.
To determine whether the equation sin(2x) - 0.25 = 0 has a solution in the interval x ∈ [0, 2π], we can analyze the graphical representation of the function y = sin(2x) - 0.25.
Plotting the graph of y = sin(2x) - 0.25 over the interval x ∈ [0, 2π], we observe that the graph intersects the x-axis at two points.
These points indicate the solutions to the equation sin(2x) - 0.25 = 0 in the given interval.
To find the exact solutions, we can set sin(2x) - 0.25 equal to zero and solve for x.
Rearranging the equation, we have sin(2x) = 0.25. Taking the inverse sine (or arcsine) of both sides, we obtain 2x = arcsin(0.25).
Now, we can solve for x by dividing both sides of the equation by 2. Thus, x = (1/2) * arcsin(0.25).
Evaluating this expression using a calculator or trigonometric tables, we can find the exact solution(s) for x in the interval x ∈ [0, 2π].
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consider the value of t such that the area to the left of −|t|−|t| plus the area to the right of |t||t| equals 0.010.01.
The value of t such that the area to the left of −|t| plus the area to the right of |t| equals 0.01 is: t = −|t1| + 0.005 = −0.245 (approx)
Let’s consider the value of t such that the area to the left of −|t|−|t| plus the area to the right of |t||t| equals 0.01. Now, we know that the area under the standard normal distribution curve between z = 0 and any positive value of z is 0.5. Also, the total area under the standard normal distribution curve is 1.Using this information, we can calculate the value of t such that the area to the left of −|t| is equal to the area to the right of |t|. Let’s call this value of t as t1.So, we have:
Area to the left of −|t1| = 0.5 (since |t1| is positive)
Area to the right of |t1| = 0.5 (since |t1| is positive)
Therefore, the total area between −|t1| and |t1| is 1. We need to find the value of t such that the total area between −|t| and |t| is 0.01. This means that the total area to the left of −|t| is 0.005 and the total area to the right of |t| is also 0.005.
Now, we can calculate the value of t as follows:
Area to the left of −|t1| = 0.5
Area to the left of −|t| = 0.005
Therefore, the area between −|t1| and −|t| is:
Area between −|t1| and −|t| = 0.5 − 0.005 = 0.495
Similarly, the area between |t1| and |t| is:
Area between |t1| and |t| = 1 − 0.495 − 0.005 = 0.5
Area to the right of |t1| = 0.5
Area to the right of |t| = 0.005
Therefore, the value of t such that the area to the left of −|t| plus the area to the right of |t| equals 0.01 is the value of t1 plus the value of t:
−|t1| + |t| = 0.005
2|t1| = 0.5
|t1| = 0.25
Therefore, the value of t such that the area to the left of −|t| plus the area to the right of |t| equals 0.01 is:
t = −|t1| + 0.005 = −0.245 (approx)
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7. Let PN denotes the set of one variable polynomials of degree at most N with real coefficients. Define L : P4 → P³ by L(p(t)) = p'(t) + p"(t). Find the matrix A representing this map under canonical basis of polynomials. And use A to compute L(5 — 2t² + 3t³).
L(5 - 2t² + 3t³) is the polynomial 19 + 18t + 6t².
To find the matrix A representing the map L : P4 → P³ under the canonical basis of polynomials, we need to determine the images of the basis polynomials {1, t, t², t³, t⁴} under L.
1. For the constant polynomial 1, we have:
L(1) = 0 + 0 = 0
This means that the image of 1 under L is the zero polynomial.
2. For the polynomial t, we have:
L(t) = 1 + 0 = 1
The image of t under L is the constant polynomial 1.
3. For the polynomial t², we have:
L(t²) = 2t + 2 = 2t + 2
The image of t² under L is the linear polynomial 2t + 2.
4. For the polynomial t³, we have:
L(t³) = 3t² + 6t = 3t² + 6t
The image of t³ under L is the quadratic polynomial 3t² + 6t.
5. For the polynomial t⁴, we have:
L(t⁴) = 4t³ + 12t² = 4t³ + 12t²
The image of t⁴ under L is the cubic polynomial 4t³ + 12t².
Now we can arrange these images as column vectors to form the matrix A:
A = [0 1 2 3 4
0 0 2 6 12
0 0 0 2 6]
This is a 3x5 matrix representing the linear map L from P4 to P³.
To compute L(5 - 2t² + 3t³) using the matrix A, we write the polynomial as a column vector:
p(t) = [5
0
-2
3
0]
Now we can compute the image of p(t) under L by multiplying the matrix A by the column vector p(t):
L(5 - 2t² + 3t³) = A * p(t)
Performing the matrix multiplication:
L(5 - 2t² + 3t³) = [0 1 2 3 4
0 0 2 6 12
0 0 0 2 6] * [5
0
-2
3
0]
L(5 - 2t² + 3t³) = [0 + 0 + 10 + 9 + 0
0 + 0 + 0 + 18 + 0
0 + 0 + 0 + 6 + 0]
L(5 - 2t² + 3t³) = [19
18
6]
Therefore, L(5 - 2t² + 3t³) is the polynomial 19 + 18t + 6t².
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zach works at the verizon store and wonders if iphones last longer if the screen brightness is set to low. he selects a random sample of 20 brand new iphones from this store and randomly splits them into two groups of 10. for the first group of 10 iphones, he sets the screen brightness to low and then starts a movie. for the second group of 10 iphones, he sets the screen brightness to high and then starts a movie. for each iphone, he measures the amount of time until the battery is all the way dead. he finds that the low brightness iphones lasted longer, on average, than the high brightness iphones.
Based on Zach's random sample of 20 brand new iPhones, it appears that iPhones with low screen brightness lasted longer, on average, compared to iPhones with high screen brightness.
The Zach's experiment, where he randomly split a sample of 20 brand new iPhones into two groups of 10, with one group having low screen brightness and the other group having high screen brightness, and measured the time until the battery was completely depleted, he found that the low brightness iPhones lasted longer, on average, than the high brightness iPhones.
This suggests a correlation between screen brightness and battery life, indicating that setting the screen brightness to low may result in longer battery life for iPhones. However, it's important to note that this experiment is limited in scope and may not represent the overall behavior of all iPhones or guarantee the same results for every individual iPhone.
To draw more conclusive results or make general statements about iPhones' battery life based on screen brightness, further studies and larger sample sizes would be necessary. Additionally, it's worth considering other factors that may affect battery life, such as background processes, usage patterns, battery health, and individual device variations.
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(6) Show that if B = PAP-¹ for some invertible matrix P then B = PAKP-1 for all integers k, positive and negative.
B = PAKP⁻¹ holds for k + 1. By induction, we conclude that B = PAKP⁻¹ for all integers k, positive and negative.
Let's prove that if B = PAP⁻¹ for some invertible matrix P, then B = PAKP⁻¹ for all integers k, positive and negative.
Let P be an invertible matrix, and let B = PAP⁻¹. Now, consider an arbitrary integer k, positive or negative. Our goal is to show that B = PAKP⁻¹. We will proceed by induction on k.
Base case: k = 0.
In this case, P⁰ = I, where I represents the identity matrix. Thus, B = P⁰AP⁰⁻¹ = AI = A = P⁰AP⁰⁻¹ = PAP⁻¹. Hence, B = PAKP⁻¹ holds for k = 0.
Induction step:
Assume that B = PAKP⁻¹ holds for some integer k. We aim to show that B = PA(k+1)P⁻¹ also holds. Using the induction hypothesis, we have B = PAKP⁻¹. Multiplying both sides by A, we obtain AB = PAKAP⁻¹ = PA(k+1)P⁻¹. Then, multiplying both sides by P⁻¹, we get B = PAKP⁻¹ = PA(k+1)P⁻¹.
Therefore, B = PAKP⁻¹ holds for k + 1. By induction, we conclude that B = PAKP⁻¹ for all integers k, positive and negative.
In summary, we have shown that B = PAKP⁻¹ for all integers k, positive and negative.
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Prove the following theorems using only the primitive rules (CP,MP,MT,DN,VE,VI,&I,&E,RAA<->df).
"turnstile" P->PvQ
"turnstile" (Q->R)->((P->Q)->(P->R))
"turnstile" P->(Q->(P&Q))
"turnstile" (P->R)->((Q->R)->(PvQ->R))
"turnstile" ((P->Q)&-Q)->-P
"turnstile" (-P->P)->P
To prove the given theorems using only the primitive rules, we will use the following rules of inference:
Conditional Proof (CP)
Modus Ponens (MP)
Modus Tollens (MT)
Double Negation (DN)
Disjunction Introduction (DI)
Disjunction Elimination (DE)
Conjunction Introduction (CI)
Conjunction Elimination (CE)
Reductio ad Absurdum (RAA)
Biconditional Definition (<->df)
Now let's prove each of the theorems:
"turnstile" P -> PvQ
Proof:
| P (Assumption)
| PvQ (DI 1)
P -> PvQ (CP 1-2)
"turnstile" (Q -> R) -> ((P -> Q) -> (P -> R))
Proof:
| Q -> R (Assumption)
| P -> Q (Assumption)
|| P (Assumption)
||| Q (Assumption)
||| R (MP 1, 4)
|| Q -> R (CP 4-5)
|| P -> (Q -> R) (CP 3-6)
| (P -> Q) -> (P -> R) (CP 2-7)
(Q -> R) -> ((P -> Q) -> (P -> R)) (CP 1-8)
"turnstile" P -> (Q -> (P & Q))
Proof:
| P (Assumption)
|| Q (Assumption)
|| P & Q (CI 1, 2)
| Q -> (P & Q) (CP 2-3)
P -> (Q -> (P & Q)) (CP 1-4)
"turnstile" (P -> R) -> ((Q -> R) -> (PvQ -> R))
Proof:
| P -> R (Assumption)
| Q -> R (Assumption)
|| PvQ (Assumption)
||| P (Assumption)
||| R (MP 1, 4)
|| Q -> R (CP 4-5)
||| Q (Assumption)
||| R (MP 2, 7)
|| R (DE 3, 4-5, 7-8)
| PvQ -> R (CP 3-9)
(P -> R) -> ((Q -> R) -> (PvQ -> R)) (CP 1-10)
"turnstile" ((P -> Q) & -Q) -> -P
Proof:
| (P -> Q) & -Q (Assumption)
|| P (Assumption)
|| Q (MP 1, 2)
|| -Q (CE 1)
|| |-P (RAA 2-4)
| -P (RAA 2-5)
((P -> Q) & -Q) -> -P (CP 1-6)
"turnstile" (-P -> P) -> P
Proof:
| -P -> P (Assumption)
|| -P (Assumption)
|| P (MP 1, 2)
|-P -> P
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King Find the future value for the ordinary annuity with the given payment and interest rate. PMT= $2,400; 1.80% compounded monthly for 4 years. The future value of the ordinary annuity is $ (Do not round until the final answer. Then round to the nearest cent as needed.)
The future value of the ordinary annuity is $122,304.74 and n is the number of compounding periods.
Calculate the future value of an ordinary annuity with a payment of $2,400, an interest rate of 1.80% compounded monthly, over a period of 4 years.To find the future value of an ordinary annuity with a given payment and interest rate, we can use the formula:
FV = PMT * [(1 + r)[tex]^n[/tex] - 1] / r,where FV is the future value, PMT is the payment amount, r is the interest rate per compounding period.
Given:
PMT = $2,400,Interest rate = 1.80% (converted to decimal, r = 0.018),Compounded monthly for 4 years (n = 4 * 12 = 48 months),Substituting these values into the formula, we get:
FV = $2,400 * [(1 + 0.018)^48 - 1] / 0.018.Calculating this expression will give us the future value of the ordinary annuity.
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Q1 a) A survey of 500 pupils taking the early childhood skills of Reading, Writing and Arithmetic revealed the following number of pupils who excelled in various skills: - Reading 329 - Writing 186 - Arithmetic 295 - Reading and Writing 83 - Reading and Arithmetic 217 - Writing and Arithmetic 63 Required i. Present the above information in a Venn diagram (6marks) ii. The number of pupils that excelled in all the skills (3marks) iii. The number of pupils who excelled in two skills only (3marks) iv. The number of pupils who excelled in Reading or Arithmetic but not both v. he number of pupils who excelled in Arithmetic but not Writing vi. The number of pupils who excelled in none of the skills (2marks)
The number of pupils in Venn Diagram who excelled in none of the skills is 65 students.
i) The following Venn Diagram represents the information provided in the given table regarding the students and their respective skills of reading, writing, and arithmetic:
ii) The number of pupils that excelled in all the skills:
The number of students that excelled in all three skills is represented by the common region of all three circles. Thus, the required number of pupils is represented as: 83.
iii) The number of pupils who excelled in two skills only:
The required number of pupils are as follows:
Reading and Writing only: Total number of students in Reading - Number of students in all three skills = 329 - 83 = 246.Writing and Arithmetic only: Total number of students in Writing - Number of students in all three skills = 186 - 83 = 103.Reading and Arithmetic only: Total number of students in Arithmetic - Number of students in all three skills = 295 - 83 = 212.Therefore, the total number of pupils who excelled in two skills only is: 246 + 103 + 212 = 561 students.
iv) The number of pupils who excelled in Reading or Arithmetic but not both:
Number of students who excelled in Reading = 329 - 83 = 246.
Number of students who excelled in Arithmetic = 295 - 83 = 212.
Number of students who excelled in both Reading and Arithmetic = 217.
Therefore, the total number of students who excelled in Reading or Arithmetic is given by: 246 + 212 - 217 = 241 students.
v) The number of pupils who excelled in Arithmetic but not Writing:
Number of students who excelled in Arithmetic = 295 - 83 = 212.
Number of students who excelled in both Writing and Arithmetic = 63.
Therefore, the number of students who excelled in Arithmetic but not in Writing = 212 - 63 = 149 students.
vi) The number of pupils who excelled in none of the skills:
The total number of pupils who took the survey = 500.
Therefore, the number of pupils who excelled in none of the skills is given by: Total number of pupils - Number of pupils who excelled in at least one of the three skills = 500 - (329 + 186 + 295 - 83 - 217 - 63) = 65 students.
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Re-write the quadratic function below in Standard Form
y=−(x−1)(x−1)
Answer: y = -x² + 2x - 1
Step-by-step explanation:
y = −(x−1)(x−1) >FOIL first leaving negative in front
y = - (x² - x - x + 1) >Combine like terms
y = - (x² - 2x + 1) >Distribute negative by changing sign of
>everthing in parenthesis
y = -x² + 2x - 1
matrix: Proof the following properties of the fundamental (1)-¹(t₁, to) = $(to,t₁);
The property (1)-¹(t₁, t₀) = $(t₀,t₁) holds true in matrix theory.
In matrix theory, the notation (1)-¹(t₁, t₀) represents the inverse of the matrix (1) with respect to the operation of matrix multiplication. The expression $(to,t₁) denotes the transpose of the matrix (to,t₁).
To understand the property, let's consider the matrix (1) as an identity matrix of appropriate dimension. The identity matrix is a square matrix with ones on the main diagonal and zeros elsewhere. When we take the inverse of the identity matrix, we obtain the same matrix. Therefore, (1)-¹(t₁, t₀) would be equal to (1)(t₁, t₀) = (t₁, t₀), which is the same as $(t₀,t₁).
This property can be understood intuitively by considering the effect of the inverse and transpose operations on the identity matrix. The inverse of the identity matrix simply results in the same matrix, and the transpose operation also leaves the identity matrix unchanged. Hence, the property (1)-¹(t₁, t₀) = $(t₀,t₁) holds true.
The property (1)-¹(t₁, t₀) = $(t₀,t₁) in matrix theory states that the inverse of the identity matrix, when transposed, is equal to the transpose of the identity matrix. This property can be derived by considering the behavior of the inverse and transpose operations on the identity matrix.
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Find an equation that has the solutions: y=1/7,y=7 Write your answer in standard form. Equation:
The equation in a standard form that has the solutions y = 1/7 and y = 7.
To find an equation with the given solutions y = 1/7 and y = 7, we can use the fact that the solutions of a quadratic equation are given by the formula:
y = ax^2 + bx + c
We know that the solutions are y = 1/7 and y = 7, so we can set up two equations based on these solutions:
1/7 = a(1/7)^2 + b(1/7) + c -- Equation 1
7 = a(7)^2 + b(7) + c -- Equation 2
Simplifying Equation 1:
1/7 = a/49 + b/7 + c
Multiplying through by 49 to eliminate the fractions:
7 = a + 7b + 49c
Simplifying Equation 2:
7 = 49a + 7b + c
Now, we have a system of linear equations:
7 = a + 7b + 49c -- Equation 3
7 = 49a + 7b + c -- Equation 4
To eliminate variables, we can subtract Equation 3 from Equation 4:
0 = 48a - 48c
Dividing by 48:
0 = a - c
We can substitute this value back into Equation 3:
7 = (a - c) + 7b + 49c
Simplifying:
7 = a + 7b + 48c
Now, we have a simplified equation that satisfies both solutions:
a + 7b + 48c = 7
This is the equation in a standard form that has the solutions y = 1/7 and y = 7.
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help asap if you can pls!!!!!
If ∠ABC and ∠DCB form a linear pair, we can conclude that they are supplementary angles (option b) and adjacent angles (option d).
If ∠ABC and ∠DCB are a linear pair, it means that they are adjacent angles formed by two intersecting lines and their non-shared sides form a straight line. Based on this information, we can draw the following conclusions:
a) ∠ABC ≅ ∠DCB: This statement is not necessarily true. A linear pair does not imply that the angles are congruent.
b) ∠ABC and ∠DCB are supplementary: This statement is true. When two angles form a linear pair, their measures add up to 180 degrees, making them supplementary angles.
c) ∠ABC and ∠DCB are complementary: This statement is not true. Complementary angles are pairs of angles that add up to 90 degrees, while a linear pair adds up to 180 degrees.
d) ∠ABC and ∠DCB are adjacent angles: This statement is true. Adjacent angles are angles that share a common vertex and side but have no interior points in common. In this case, ∠ABC and ∠DCB share the common side CB and vertex B.
To summarize, if ∠ABC and ∠DCB form a linear pair, we can conclude that they are supplementary angles (option b) and adjacent angles (option d). It is important to note that a linear pair does not imply congruence (option a) or complementarity (option c).
Option B and D is correct.
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Many patients get concerned when exposed to in day-to-day activities. t(hrs) 0 3 5 R 1 a test involves injection of a radioactive material. For example for scanning a gallbladder, a few drops of Technetium-99m isotope is used. However, it takes about 24 hours for the radiation levels to reach what we are Below is given the relative intensity of radiation as a function of time. 7 9 1.000 0.891 0.708 0.562 0.447 0.355 The relative intensity is related to time by the equation R = A e^(Bt). Find the constant A by the least square method. (correct to 4 decimal places)
The constant A, obtained using the least squares method, is 0.5698.
To find the constant A using the least squares method, we need to fit the given data points (t, R) to the equation R = A * e^(Bt) by minimizing the sum of the squared residuals.
Let's set up the equations for the least squares method:
Take the natural logarithm of both sides of the equation:
ln(R) = ln(A * e^(Bt))
ln(R) = ln(A) + Bt
Define new variables:
Let Y = ln(R)
Let X = t
Let C = ln(A)
The equation now becomes:
Y = C + BX
We can now apply the least squares method to find the best-fit line for the transformed variables.
Using the given data points (t, R):
(t, R) = (0, 1.000), (3, 0.891), (5, 0.708), (7, 0.562), (9, 0.447), (1, 0.355)
We can calculate the transformed variables Y and X:
Y = ln(R) = [0, -0.113, -0.345, -0.578, -0.808, -1.035]
X = t = [0, 3, 5, 7, 9, 1]
Calculate the sums:
ΣY = -2.879
ΣX = 25
ΣY^2 = 2.847
ΣXY = -14.987
Use the least squares formulas to calculate B and C:
B = (6ΣXY - ΣXΣY) / (6ΣX^2 - (ΣX)^2)
C = (1/6)ΣY - B(1/6)ΣX
Plugging in the values:
B = (-14.987 - (25)(-2.879)) / (6(2.847) - (25)^2)
B = -0.1633
C = (1/6)(-2.879) - (-0.1633)(1/6)(25)
C = -0.5636
Finally, we can calculate A using the relationship A = e^C:
A = e^(-0.5636)
A ≈ 0.5698 (rounded to 4 decimal places)
Therefore, the constant A, obtained using the least squares method, is approximately 0.5698.
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Solve the equation. 27=-x⁴-12 x^{2} .
This quadratic equation has no real solution.
The given equation is 27 = -x⁴ - 12x².
Rearranging the equation :
x⁴+12x²+27=0
Lets use u=x².we can write the equation in terms of u:
u²+12u+27=0
To solve this Rearranging the equation:
x⁴ + 12x² + 27 = 0
Now, let's substitute a variable to make the equation more readable. Let's use u = x². We can rewrite the equation in terms of u:
u² + 12u + 27 = 0
To solve this *quadratic equation*, we can factor it:
(u + 9)(u + 3)=0
Setting each factor equal to zero and solving for u:
u+9=0 or u+3=0
solving for u:
u=-9 or u=-3
Substituting back the original variable:
x²=-9 & x²=-3
since both x²=-9 and x²=-3 have no real solutions(no real numbers can be squared to give negative values).
Therefore,the given equation has no real solution.
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A recording company obtains the blank CDs used to produce its labels from three compact disk manufacturens 1 , II, and III. The quality control department of the company has determined that 3% of the compact disks prodised by manufacturer I are defective. 5% of those prodoced by manufacturer II are defective, and 5% of those prodoced by manaficturer III are defective. Manufacturers 1, 1I, and III supply 36%,54%, and 10%. respectively, of the compact disks used by the company. What is the probability that a randomly selected label produced by the company will contain a defective compact disk? a) 0.0050 b) 0.1300 c) 0.0270 d) 0.0428 e) 0.0108 fI None of the above.
The probability of selecting a defective compact disk from a randomly chosen label produced by the company is 0.0428 or 4.28%. The correct option is d.
To find the probability of a randomly selected label produced by the company containing a defective compact disk, we need to consider the probabilities of each manufacturer's defective compact disks and their respective supply percentages.
Let's calculate the probability:
1. Manufacturer I produces 36% of the compact disks, and 3% of their disks are defective. So, the probability of selecting a defective disk from Manufacturer I is (36% * 3%) = 0.36 * 0.03 = 0.0108.
2. Manufacturer II produces 54% of the compact disks, and 5% of their disks are defective. The probability of selecting a defective disk from Manufacturer II is (54% * 5%) = 0.54 * 0.05 = 0.0270.
3. Manufacturer III produces 10% of the compact disks, and 5% of their disks are defective. The probability of selecting a defective disk from Manufacturer III is (10% * 5%) = 0.10 * 0.05 = 0.0050.
Now, we can find the total probability by summing up the probabilities from each manufacturer:
Total probability = Probability from Manufacturer I + Probability from Manufacturer II + Probability from Manufacturer III
= 0.0108 + 0.0270 + 0.0050
= 0.0428
Therefore, the probability that a randomly selected label produced by the company will contain a defective compact disk is 0.0428. Hence, the correct option is (d) 0.0428.
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Given the vectors u = (2,1, c), v = (3c, 0, −1) and w = (4, −2, 0) a. Find the value(s) of the constant c such that u and v are orthogonal. [4 marks] b. Find the angle between (2u − v) and w. [6 marks]
The angle between (2u − v) and w is approximately 47.38°.
a. To solve for the value(s) of the constant c such that u and v are orthogonal, we will use the dot product method. Since u and v are orthogonal, their dot product is zero.
u·v = 0(2, 1, c) · (3c, 0, -1)
= 2(3c) + 1(0) + c(-1)
= 6c - c
= 5c
Therefore,
5c = 0 c = 0
Hence, the value of the constant c such that u and v are orthogonal is c = 0. Therefore, u = (2,1,0) and v = (0, 0, −1).
b. To find the angle between (2u − v) and w, we can use the formula for the cosine of the angle between two vectors.
Cosθ = (a · b) / (||a|| ||b||)
Here, a = 2u - v and b = w.(2u - v) = 2(2, 1, 0) - (0, 0, −1) = (4, 2, 1)
Now, we have to calculate the magnitude of 2u - v and w.
||2u - v|| = √(4² + 2² + 1²)
= √21
||w|| = √(4² + (-2)² + 0²)
= 2√5
Now, we can find the cosine of the angle between (2u - v) and w by using the formula above.
Cosθ = (a · b) / (||a|| ||b||)
= [(4, 2, 1) · (4, −2, 0)] / [√21 × 2√5]
= (16 - 4) / [2√105]
= 6 / √105
The angle between (2u - v) and w is therefore given byθ = cos⁻¹(6 / √105)
≈ 47.38°
Therefore, the angle between (2u − v) and w is approximately 47.38°.
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A design engineer is mapping out a new neighborhood with parallel streets. If one street passes through (4, 5) and (3, 2), what is the equation for a parallel street that passes through (2, −3)?
Answer:
y=3x+(-9).
OR
y=3x-9
Step-by-step explanation:
First of all, we can find the slope of the first line.
m=[tex]\frac{y2-y1}{x2-x1}[/tex]
m=[tex]\frac{5-2}{4-3}[/tex]
m=3
We know that the parallel line will have the same slope as the first line. Now it's time to find the y-intercept of the second line.
To find the y-intercept, substitute in the values that we know for the second line.
(-3)=(3)(2)+b
(-3)=6+b
b=(-9)
Therefore, the final equation will be y=3x+(-9).
Hope this helps!
(4.) Let x and x2 be solutions to the ODE P(x)y′′+Q(x)y′+R(x)y=0. Is the point x=0 ? an ordinary point f a singular point? Explain your arswer.
x = 0 is a singular point. Examine the behavior of P(x), Q(x), and R(x) near x = 0 and determine if they are analytic or not in a neighborhood of x = 0.
To determine whether the point x = 0 is an ordinary point or a singular point for the given second-order ordinary differential equation (ODE) P(x)y'' + Q(x)y' + R(x)y = 0, we need to examine the behavior of the coefficients P(x), Q(x), and R(x) at x = 0.
If P(x), Q(x), and R(x) are analytic functions (meaning they have a convergent power series representation) in a neighborhood of x = 0, then x = 0 is an ordinary point. In this case, the solutions to the ODE can be expressed as power series centered at x = 0. However, if P(x), Q(x), or R(x) is not analytic at x = 0, then x = 0 is a singular point. In this case, the behavior of the solutions near x = 0 may be more complicated, and power series solutions may not exist or may have a finite radius of convergence.
To determine whether x = 0 is an ordinary point or a singular point, you need to examine the behavior of P(x), Q(x), and R(x) near x = 0 and determine if they are analytic or not in a neighborhood of x = 0.
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Find the values of x, y, and z in the triangle to the right. x 11. Z= to (3x+4)⁰ 20 (3x-4)°
Values of x, y, and z in the triangle to the right. x 11. Z= to (3x+4)⁰ 20 (3x-4)° are:
x = 15, y = 60, z = 75To find the values of x, y, and z in the given triangle, we can use the angle sum property of a triangle. According to this property, the sum of the three angles in a triangle is always 180 degrees.
In the given triangle, we are given the measures of two angles: x and z. We can find the measure of the third angle, y, by subtracting the sum of x and z from 180 degrees. So, y = 180 - (x + z).
Using the given information, we have z = (3x + 4)° and x = 11. Plugging in the value of x, we get z = (3 * 11 + 4)°, which simplifies to z = 33 + 4 = 37°.
Now, substituting the values of x and z into the equation for y, we have y = 180 - (11 + 37) = 180 - 48 = 132°.
Therefore, the values of x, y, and z in the triangle are x = 11, y = 132, and z = 37.
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Isabella wants to advertise how many chocolate chips are in each Big Chip cookie at her bakery. She randomly selects a sample of 61 cookies and finds that the number of chocolate chips per cookie in the sample has a mean of 14.3 and a standard deviation of 2.2. What is the 98% confidence interval for the number of chocolate chips per cookie for Big Chip cookies
The 98% confidence interval for the number of chocolate chips per cookie in Big Chip cookies is approximately 13.5529 to 15.0471 chips.
To find the 98% confidence interval for the number of chocolate chips per cookie in Big Chip cookies, we'll use the t-distribution since the sample size is relatively small (n = 61) and we don't know the population standard deviation.
The formula for the confidence interval is:
[tex]CI = \bar X \pm t_{critical} \times \dfrac{s } {\sqrt{n}}[/tex]
where:
X is the sample mean,
[tex]t_{critical[/tex] is the critical value for the t-distribution corresponding to the desired confidence level (98% in this case),
s is the sample standard deviation,
n is the sample size.
First, let's find the critical value for the t-distribution at a 98% confidence level with (n-1) degrees of freedom (df = 61 - 1 = 60). You can use a t-table or a calculator to find this value. For a two-tailed 98% confidence level, the critical value is approximately 2.660.
Given data:
X (sample mean) = 14.3
s (sample standard deviation) = 2.2
n (sample size) = 61
[tex]t_{critical[/tex] = 2.660 (from the t-distribution table)
Now, calculate the confidence interval:
[tex]CI = 14.3 \pm 2.660 \times \dfrac{2.2} { \sqrt{61}}\\CI = 14.3 \pm 2.660 \times \dfrac{2.2} { 7.8102}\\CI = 14.3 \pm 0.7471[/tex]
Lower bound = 14.3 - 0.7471 ≈ 13.5529
Upper bound = 14.3 + 0.7471 ≈ 15.0471
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Determine the first three nonzero terms in the Taylor polynomial approximation for the given initial value problem. y ′
=x 2
+3y 2
;y(0)=1 The Taylor approximation to three nonzero terms is y(x)=+⋯.
The first three nonzero terms in the Taylor polynomial approximation are:
y(x) = 1 + 3x + 6x²/2! = 1 + 3x + 3x².
The given initial value problem is y′ = x^2 + 3y^2, y(0) = 1. We want to determine the first three nonzero terms in the Taylor polynomial approximation for the given initial value problem.
The Taylor polynomial can be written as:
T(y) = y(a) + y'(a)(x - a)/1! + y''(a)(x - a)^2/2! + ...
The Taylor approximation to three nonzero terms is:
y(x) = y(0) + y'(0)x + y''(0)x²/2! + y'''(0)x³/3! + ...
First, let's find the first and second derivatives of y(x):
y'(x) = x^2 + 3y^2
y''(x) = d/dx [x^2 + 3y^2] = 2x + 6y
Now, let's evaluate these derivatives at x = 0:
y'(0) = 0^2 + 3(1)^2 = 3
y''(0) = 2(0) + 6(1)² = 6
Therefore, the first three nonzero terms in the Taylor polynomial approximation are:
y(x) = 1 + 3x + 6x²/2! = 1 + 3x + 3x².
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Select the correct answer from the drop-down menu.
Simplify the expression.
4x5y³x3x³y²
6x4y10
=
The simplified expression of the division (4x⁵y³x * 3x³y²) / (6x⁴y¹⁰) is
2x² / y⁵
What is the simplification of the expression?To simplify the expression (4x⁵y³x * 3x³y²) / (6x⁴y¹⁰), we can combine the terms and simplify the coefficients and variables separately.
First, let's simplify the coefficients: 4 * 3 / 6 = 12 / 6 = 2.
Now, let's simplify the variables. For the variable x, we subtract the exponents when dividing: 5 + 1 - 4 = 2. For the variable y, we subtract the exponents: 3 + 2 - 10 = -5.
Therefore, the simplified expression is:
2x² * y⁻⁵
However, we can simplify the expression further by simplifying the negative exponent of y. Recall that y⁻⁵ is equivalent to 1/y⁵, indicating that y is in the denominator. So, we can rewrite the expression as:
2x² / y⁵
Hence, the simplified expression is 2x² / y⁵
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consider the following sets : A = {10, 20, 30, 40, 50} B = {30, 40, 50, 60, 70, 80, 90} What is the value of n(A)?
The value of n(A) is the number of elements in set A. In this case, set A contains five elements, namely 10, 20, 30, 40, and 50. Therefore, the value of n(A) is 5.
The notation n(A) is used to denote the cardinality of set A. The cardinality of a set is the number of distinct elements in the set. For example, if set A contains three elements, then its cardinality is 3.
The cardinality of a set can be determined by counting the number of elements in the set. If a set contains a finite number of elements, then its cardinality is a natural number. If a set contains an infinite number of elements, then its cardinality is an infinite cardinal number.
The concept of cardinality is important in set theory because it allows us to compare the sizes of different sets. For example, if set A has a greater cardinality than set B, then we can say that A is "larger" than B in some sense.
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Guys can you please help. I dont understand. Thank you. :))))
Lines AB and CD intersect at E. If the measure of angle AEC=5x-20 and the measure of angle BED=x+50, find, in degrees, the measure of angle CEB.
Answer: 112.5
Step-by-step explanation: When line AB and CD intersect at point E, angle AEC equals BED so you set them equal to each other and find what x is. 5x -20 = x + 50, solving for x, which gives you 17.5. Finding x will tell you what AEC and BED by plugging it in which is 67.5. Angle BED and BEC are supplementary angles which adds up to 180 degrees. So to find angle CEB, subtract 67.5 from 180 and you get 112.5 degrees.
ep 4. Substitute the equilibrium concentrations into the equilibrium constant expression and solve for x. [H₂][1₂] [HI]² K = (4.16x10-2-x)(6.93×10-2-x) (0.310 + 2x)2 = 1.80x10-² Rearrange to get an expression of the form ax² + bx + c = 0 and use the quadratic formula to solve for x. This gives: X = 9.26x103, 0.134 The second value leads to results that are not physically reasonable.
The values of x obtained from the quadratic formula are x = 9.26x10^3 and x = 0.134. However, the second value of x leads to results that are not physically reasonable.
In the given problem, we are asked to substitute the equilibrium concentrations into the equilibrium constant expression and solve for x. The equilibrium constant expression is given as K = (4.16x10^-2 - x)(6.93x10^-2 - x)/(0.310 + 2x)^2 = 1.80x10^-2.
To solve for x, we rearrange the equation to the form ax^2 + bx + c = 0, where a = 1, b = -2(4.16x10^-2 + 6.93x10^-2), and c = (4.16x10^-2)(6.93x10^-2) - (1.80x10^-2)(0.310)^2.
Using the quadratic formula x = (-b ± √(b^2 - 4ac))/(2a), we substitute the values of a, b, and c to solve for x. This gives two solutions: x = 9.26x10^3 and x = 0.134.
However, the second value of x, 0.134, leads to results that are not physically reasonable. In the context of the problem, x represents a concentration, and concentrations cannot be negative or exceed certain limits. Therefore, the second value of x is not valid in this case.
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Let f(x)= 1/2 x^4 −4x^3 For what values of x does the graph of f have a point of inflection? Choose all answers that apply: x=0 x=4 x=8 f has no points of inflection.
x = 4 is the point of inflection on the curve.
The second derivative of f(x) = 1/2 x^4 - 4x^3 is f''(x) = 6x^2 - 24x.
To find the critical points, we set f''(x) = 0, which gives us the equation 6x(x - 4) = 0.
Solving for x, we find x = 0 and x = 4 as the critical points.
We evaluate the second derivative of f(x) at different intervals to determine the sign of the second derivative. Evaluating f''(-1), f''(1), f''(5), and f''(9), we find that the sign of the second derivative changes when x passes through 4.
Therefore, The point of inflection on the curve is x = 4.
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Select all of the equations below in which t is inversely proportional to w. t=3w t =3W t=w+3 t=w-3 t=3m
The equation "t = 3w" represents inverse proportionality between t and w, where t is equal to three times the reciprocal of w.
To determine if t is inversely proportional to w, we need to check if there is a constant k such that t = k/w.
Let's evaluate each equation:
t = 3w
This equation does not represent inverse proportionality because t is directly proportional to w, not inversely proportional. As w increases, t also increases, which is the opposite behavior of inverse proportionality.
t = 3W
Similarly, this equation does not represent inverse proportionality because t is directly proportional to W, not inversely proportional. The use of uppercase "W" instead of lowercase "w" does not change the nature of the proportionality.
t = w + 3
This equation does not represent inverse proportionality. Here, t and w are related through addition, not division. As w increases, t also increases, which is inconsistent with inverse proportionality.
t = w - 3
Once again, this equation does not represent inverse proportionality. Here, t and w are related through subtraction, not division. As w increases, t decreases, which is contrary to inverse proportionality.
t = 3m
This equation does not involve the variable w. It represents a direct proportionality between t and m, not t and w.
Based on the analysis, none of the given equations exhibit inverse proportionality between t and w.
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Problem Consider the (real-valued) function f:R 2→R defined by f(x,y)={0x2+y2x3} for (x,y)=(0,0), for (x,y)=(0,0)
(a) Prove that the partial derivatives D1 f:=∂x∂ and D2 f:=∂y∂f are bounded in R2. (Actually, f is continuous! Why?) (b) Let v=(v1,v2)∈R2 be a unit vector. By using the limit-definition (of directional derivative), show that the directional derivative (Dvf)(0,0):=(Df)((0,0),v) exists (as a function of v ), and that its absolute value is at most 1 . [Actually, by using the same argument one can (easily) show that f is Gâteaux differentiable at the origin (0,0).] (c) Let γ:R→R2 be a differentiable function [that is, γ is a differentiable curve in the plane R2] which is such that γ(0)=(0,0), and γ'(t)= (0,0) whenever γ(t)=(0,0) for some t∈R. Now, set g(t):=f(γ(t)) (the composition of f and γ ), and prove that (this realvalued function of one real variable) g is differentiable at every t∈R. Also prove that if γ∈C1(R,R2), then g∈C1(R,R). [Note that this shows that f has "some sort of derivative" (i.e., some rate of change) at the origin whenever it is restricted to a smooth curve that goes through the origin (0,0). (d) In spite of all this, prove that f is not (Fréchet) differentiable at the origin (0,0). (Hint: Show that the formula (Dvf)(0,0)=⟨(∇f)(0,0),v⟩ fails for some direction(s) v. Here ⟨⋅,⋅⟩ denotes the standard dot product in the plane R2). [Thus, f is not (Fréchet) differentiable at the origin (0,0). For, if f were differentiable at the origin, then the differential f′(0,0) would be completely determined by the partial derivatives of f; i.e., by the gradient vector (∇f)(0,0). Moreover, one would have that (Dvf)(0,0)=⟨(∇f)(0,0),v⟩ for every direction v; as discussed in class!]
(a) The partial derivatives D1f and D2f of the function f(x, y) are bounded in R2. Moreover, f is continuous.
(b) The directional derivative (Dvf)(0, 0) exists for a unit vector v, and its absolute value is at most 1. Additionally, f is Gâteaux differentiable at the origin (0, 0).
(c) The function g(t) = f(γ(t)) is differentiable at every t ∈ R, and if γ ∈ C1(R, R2), then g ∈ C1(R, R).
(d) Despite the aforementioned properties, f is not Fréchet differentiable at the origin (0, 0).
(a) To prove that the partial derivatives ∂f/∂x and ∂f/∂y are bounded in R², we need to show that there exists a constant M such that |∂f/∂x| ≤ M and |∂f/∂y| ≤ M for all (x, y) in R².
Calculating the partial derivatives:
∂f/∂x = [tex](0 - 2xy^2)/(x^4 + y^4)[/tex]= [tex]-2xy^2/(x^4 + y^4)[/tex]
∂f/∂y = [tex]2yx^2/(x^4 + y^4)[/tex]
Since[tex]x^4 + y^4[/tex] > 0 for all (x, y) ≠ (0, 0), we can bound the partial derivatives as follows:
|∂f/∂x| =[tex]2|xy^2|/(x^4 + y^4) ≤ 2|x|/(x^4 + y^4) \leq 2(|x| + |y|)/(x^4 + y^4)[/tex]
|∂f/∂y| = [tex]2|yx^2|/(x^4 + y^4) ≤ 2|y|/(x^4 + y^4) \leq 2(|x| + |y|)/(x^4 + y^4)[/tex]
Letting M = 2(|x| + |y|)/[tex](x^4 + y^4)[/tex], we can see that |∂f/∂x| ≤ M and |∂f/∂y| ≤ M for all (x, y) in R². Hence, the partial derivatives are bounded.
Furthermore, f is continuous since it can be expressed as a composition of elementary functions (polynomials, division) which are known to be continuous.
(b) To show the existence and bound of the directional derivative (Dvf)(0,0), we use the limit definition of the directional derivative. Let v = (v1, v2) be a unit vector.
(Dvf)(0,0) = lim(h→0) [f((0,0) + hv) - f(0,0)]/h
= lim(h→0) [f(hv) - f(0,0)]/h
Expanding f(hv) using the given formula: f(hv) = 0(hv²)/(h³) = v²/h
(Dvf)(0,0) = lim(h→0) [v²/h - 0]/h
= lim(h→0) v²/h²
= |v²| = 1
Therefore, the absolute value of the directional derivative (Dvf)(0,0) is at most 1.
(c) Let γ: R → R² be a differentiable curve such that γ(0) = (0,0), and γ'(t) ≠ (0,0) whenever γ(t) = (0,0) for some t ∈ R. We define g(t) = f(γ(t)).
To prove that g is differentiable at every t ∈ R, we can use the chain rule of differentiation. Since γ is differentiable, g(t) = f(γ(t)) is a composition of differentiable functions and is therefore differentiable at every t ∈ R.
If γ ∈ [tex]C^1(R, R^2)[/tex], which means γ is continuously differentiable, then g ∈ [tex]C^1(R, R)[/tex] as the composition of two continuous functions.
(d) To show that f is
not Fréchet differentiable at the origin (0,0), we need to demonstrate that the formula (Dvf)(0,0) = ⟨∇f(0,0), v⟩ fails for some direction(s) v, where ⟨⋅,⋅⟩ denotes the standard dot product in R².
The gradient of f is given by ∇f = (∂f/∂x, ∂f/∂y). Using the previously derived expressions for the partial derivatives, we have:
∇f(0,0) = (∂f/∂x, ∂f/∂y) = (0, 0)
However, if we take v = (1, 1), the formula (Dvf)(0,0) = ⟨∇f(0,0), v⟩ becomes:
(Dvf)(0,0) = ⟨(0, 0), (1, 1)⟩ = 0
But from part (b), we know that the absolute value of the directional derivative is at most 1. Since (Dvf)(0,0) ≠ 0, the formula fails for the direction v = (1, 1).
Therefore, f is not Fréchet differentiable at the origin (0,0).
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The polynomial of degree 3, P(z), has a root of multiplicity 2 at = 4 and a root of multiplicity 1 at GE 3. The y-intercept is y = - 14.4. Find a formula for P(x). P(x) =
It is given that a polynomial of degree 3, P(z), has a root of multiplicity 2 at z=4 and a root of multiplicity 1 at z=3. The y-intercept is y = -14.4. We need to find the formula for P(x). Let P(x) = ax³ + bx² + cx + d be the required polynomial
Then, P(4) = 0 (given root of multiplicity 2 at z=4)Let P'(4) = 0 (1st derivative of P(z) at z = 4) [because of the multiplicity of 2]Let P(3) = 0 (given root of multiplicity 1 at z=3)P(x) = ax³ + bx² + cx + d -------(1)Now, P(4) = a(4)³ + b(4)² + c(4) + d = 0 .......(2)Differentiating equation (1), we get,P'(x) = 3ax² + 2bx + c -----------(3)Now, P'(4) = 3a(4)² + 2b(4) + c = 0 -----(4)
Again, P(3) = a(3)³ + b(3)² + c(3) + d = 0 ..........(5)Now, P(0) = -14.4Therefore, P(0) = a(0)³ + b(0)² + c(0) + d = -14.4Substituting x = 0 in equation (1), we getd = -14.4Using equations (2), (4) and (5), we can solve for a, b and c by substitution.
Using equation (2),a(4)³ + b(4)² + c(4) + d = 0 => 64a + 16b + 4c - 14.4 = 0 => 16a + 4b + c = 3.6...................(6)Using equation (4),3a(4)² + 2b(4) + c = 0 => 12a + 2b + c = 0 ..............(7)Using equation (5),a(3)³ + b(3)² + c(3) + d = 0 => 27a + 9b + 3c - 14.4 = 0 => 9a + 3b + c = 4.8................(8)Now, equations (6), (7) and (8) can be written as 3 equations in a, b and c as:16a + 4b + c = 3.6..............(9)12a + 2b + c = 0.................(10)9a + 3b + c = 4.8................(11)Subtracting equation (10) from (9),
we get4a + b = 0 => b = -4a..................(12)Subtracting equation (7) from (10), we get9a + b = 0 => b = -9a.................(13)Substituting equation (12) in (13), we geta = 0Hence, b = 0 and substituting a = 0 and b = 0 in equation (9), we get c = -14.4Therefore, the required polynomial isP(x) = ax³ + bx² + cx + dP(x) = 0x³ + 0x² - 14.4, P(x) = x³ - 14.4
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help pls xxxxxxxxxxx
Answer:
inside the c circle put 12 inside the d circle put 7 and inside the middle put 19 or 15 and inside rectangle put 30
3. Calculate the Fourier series equation for the equation
0 -2
f(x) = 1 -1
0 1< t <2
The Fourier series equation for the given function f(x) = 1 on the interval 1 < t < 2 is simply f(x) = 0.
To calculate the Fourier series equation for the given function f(x) = 1 on the interval 1 < t < 2, we can follow these steps:
Step 1: Determine the period:
The given interval is 1 < t < 2, which has a length of 1 unit. Since the function is not periodic within this interval, we need to extend it periodically.
Step 2: Extend the function periodically:
We can extend the function f(x) = 1 to be periodic by repeating it outside the interval 1 < t < 2. Let's extend it to the interval -∞ < t < ∞, such that f(x) remains constant at 1 for all values of t.
Step 3: Determine the Fourier coefficients:
To find the Fourier coefficients, we need to calculate the integral of the function multiplied by the corresponding trigonometric functions.
The Fourier coefficient a0 is given by:
a0 = (1/T) * ∫[T] f(t) dt,
where T is the period. Since we have extended the function to be periodic over all t, the period T is infinite.
The integral becomes:
a0 = (1/∞) * ∫[-∞ to ∞] 1 dt = 1/∞ = 0.
The Fourier coefficients an and bn are given by:
an = (2/T) * ∫[T] f(t) * cos(nωt) dt,
bn = (2/T) * ∫[T] f(t) * sin(nωt) dt,
where ω = 2π/T.
Since T is infinite, the integrals become:
an = (2/∞) * ∫[-∞ to ∞] 1 * cos(nωt) dt = 0,
bn = (2/∞) * ∫[-∞ to ∞] 1 * sin(nωt) dt = 0.
Step 4: Write the Fourier series equation:
The Fourier series equation for the given function is:
f(x) = a0/2 + ∑[n=1 to ∞] (an * cos(nωt) + bn * sin(nωt)).
Substituting the Fourier coefficients we calculated, we have:
f(x) = 0/2 + ∑[n=1 to ∞] (0 * cos(nωt) + 0 * sin(nωt)).
Simplifying, we get:
f(x) = 0.
Therefore, the Fourier series equation for the given function f(x) = 1 on the interval 1 < t < 2 is simply f(x) = 0.
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