MAT9004 Practice Exam 1.f(x)=−2x3−9x2−12x+2 a.f1(x)is the derivative off(x)with respect tox usingthepower rule, subtraction and additional rule we obtain f1(x)=−6x2−18x−12 Forx∈[−2,3] b.f1(x)=−6x2−18x−12 f11(x)is the derivative off1(x)with respect tox Usingthepowerrule, addition and the subtraction rule we obtain f11(x)=−12x Sincex∈[−2,3]then f11(x)=−12xforx∈[−2,3] c.The stationery points are at pointf1(x)=0 Hence the stationery points will be at the roots of−6x2−18x−12 Using the quadratic equationx=−b±√b2−4ac 2a We obtain the roots of the function at the pointsx=−1∧−2 The value off(x)at the stationery points will be f(−1)=7∧f(−2)=6 d.Finding local minimum and local maximum The stationery points are at(−1,7)∧(−2,6) Now we use the sign test to determine if the points are maximum or minimum x-2-10 f1(x)0-12 sign+ve-ve Using -2 and 0 to do the sign test we can see that the sign changes from positive to negative. When the sign changes from positive to negative, then this indicates that we have a local maximum. Hence point (-1,7) is a local maximum point. Now using the test sign, we test point (-2,6) using the values -2 and 0 x-3-2-1
MAT9004 Practice Exam f1(x)-20 sign-ve+ve The sign is changing from negative to positive hence the point (-2,6) is a local minimum. e.Graphing the function f gives From this graph we can observe two points which can be classified as global maximum and minimum. That is point; (-1,7) and (-2,6) 2.M=[16 10] a.Eigenvalues of M Using the characteristic polynomial [1−λ6 10−λ]=λ2−λ−6=(λ+2)∗(λ−3) obtainingtherootsoftheequationgivestheeigenvalues as λ=−2 And λ=3 b.Finding eigen vector For everyλwe find its own vectors A−λ−E=(36 12)
MAT9004 Practice Exam A−λE=0, so, we have a homogeneous system of linear equations we solve it by Gaussian Elimination (360 120)¿1/3 R1/3→R1 (120 120)↲∗(−1) R2−1∗R1→R2(12 00) {x1+2x2=0(1) Find the variablesx1from the equation of the system(1) x1=−2x2 X=(−2x2 x2) letx2=1,v1=(−2 1) 2λ2=3 A−λ∗E=(−26 1−3) A−λ∗E=0, so, we have a homogeneous system of linear equations, we solve it by Gaussian Elimination to obtain {x1−3x2=0(1) letx2=1,thenv2=(3 1) c.Diagonalize M The diagonal matrix (the diagonal entries are the eigenvalues−λ1,λ2 D=(−20 03) The matrix with the eigenvectors (v1,v2¿as its columns P=(−23 03) thenP−1=(−1/53/5 1/52/5) A=P−1∗D∗P
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MAT9004 Practice Exam (−1 5 3 5 1 5 2 5)∗(−20 03)∗(−23 03)=( −4 5 33 5 4 5 12 5 ) 3.Calculate probability f(x)=x5+x2+x, (xϵ[0,1] probabilityof{x>1 2}=∫ 1/5 1 x5+x2+x=[1 6+1 3+1 2]−[1 384+1 2+1 8]=319 384 4.The profit function is p(a,b)=ab2−a2+b2+6b−9a+10 The optimal points are at the derivative of the profit function equals to zero. The derivative with respect to b gives ¿2ab+2b+6=0 ¿ The derivative with respect to a b2−2a−9=0 Nowa=b2−9 2 Now2∗b2−9 2+2b+6 ¿b2+2b−3=0 usingthequadraticformulawe obtain b¿−3amd1 Since the value of b is minimum we take -3 This gives the value of a¿b2−9 2=0 5.Not divisible by 2 and not divisible by 5. a.This means the last digit cannot be0,2,4,6,8 Now we must pick 4 digits from a bucket of 10 This can be picked in the following way The fist number can be picked in 9 ways 2ndin 10 ways 3rdin 10 ways 4thin 4 ways
MAT9004 Practice Exam Hence the total prime like numbers between 1000 and 9999 is 9∗10∗10∗4=3600 b.Has at least one even digit Here we select 4 numbers from a bucket of 10 in the following way 1stnumber 9 ways 2ndnumber 10 ways 3rdnumber 10ways 4th number 5 ways Now let’s assume that the even digit is in the 1stnumber then the numbers will be 4∗5∗5∗4=400 Leta now assume the even number is in the second digit 5∗5∗5∗4=500 Let’s assume the even number is in the 3rddigit 5∗5∗5∗4=500 The even digit cannot be in the fourth number as this will make the number prime like anymore In total the numbers are400+500+500=1400 c.Prime like numbers not divisible by 3 Here we must choose the four numbers such that the sum of the digit is not divisible by 3 1stdigit 9 ways 2nddigit 10 ways 3rddigit 10 ways 4thdigit 3 ways The numbers are9∗10∗10∗3=2700 6.Y uniformly distributed a. Foru1 Y-1012
MAT9004 Practice Exam u12002 Since Y is uniformly distributed all the values occur with equal probability the expected value ofexpected value ofu1=2+0+0+2 4=1 Foru2 Y-1012 u200.500.5 Since all the values occur with uniform probability the expected value will be 0+0.5+0+0.5 4=0.25 b.Variance ofu1=∑ u1 (u1−μ)p(u1) (2−1)+(0−1)+(0−1)+(2−1)=0 4=0 The variance is 0 Variance ofu2 (0−0.25)+(5−0.25)+(0−0.25)+(0.5−0.25)=0 4=0 The variance is 0 c.Testing independence ofu1andu2 No, the equations are dependent as they share similar variance 7.A fair 6-sided dice is rolled 3 times a.Probability that sum is 8 Possible outcomes are63=216 Each roll must have a value between 1 and 6 1+1+1=3cannotbe 2+2+2=6cannotbe 3+3+3=9cannotbe The only way we can have a sum of 8 is(3,3,2),(4,2,2),(6,1,1),(5,2,1) The roll is 3 times so there are3∗4=12possibilities Thus, the probability is12 216=1/18 b.Probability of 1 given sum of 8
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MAT9004 Practice Exam ¿pre(∑8∧1) prob(∑¿8)= 3 216 1 18=1/4 8. a.Drawing graph b.The adjacency matrix is given byA= 101 110 111 the graph does not have a spanning tree. c.No, there is no connection that can allow all eight students to seat in a way that any of them knows both neighbours. References McQuarrie, D., 2003.Mathematical Methods for Scientists and Engineers,s.l.: University Science Books. Salas, S. L., Hille, E. & Etgen, G. J., 2007.Calculus: One and Several Variables.10th ed. s.l.:Wiley. Ca nbTe nni Ne wc In te So cc