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2025 National Graduate Entrance Examination Mathematics I Past Paper
Part I: Multiple Choice
Part I: Multiple Choice: Questions 1-10, 5 points each, 50 points in total. Of the four options given in each of the following questions, only one satisfies the requirement of the question.
1. Given the functions f(x)=∫0xet2sintdt, g(x)=∫0xet2dt⋅sin2x, then
A. x=0 is an extremum point of f(x), and also an extremum point of g(x).
B. x=0 is an extremum point of f(x), and (0,0) is an inflection point of the curve y=g(x).
C. x=0 is an extremum point of f(x), and (0,0) is an inflection point of the curve y=f(x).
D. (0,0) is an inflection point of the curve y=f(x), and (0,0) is also an inflection point of the curve y=g(x).
extremum pointinflection pointderivativeintegral
Approach:
Differentiate f(x) and g(x) separately and judge whether x=0 is an extremum point or an inflection point.
Steps:
f′(x)=ex2sinx
f′′(x)=2xex2sinx+ex2cosx
f′(0)=0,f′′(0)=1>0, so x=0 is an extremum point of f(x).
The series n=1∑∞n21 converges, so n=1∑∞(−1)n(3n21−tan3n21) converges absolutely.
Answer:
B
3. Let the function f(x) be differentiable on the interval (0,+∞), then
A. When x→+∞limf(x) exists, x→+∞limf′(x) exists.
B. When x→+∞limf′(x) exists, x→+∞limf(x) exists.
C. When x→+∞limx∫0xf(t)dt exists, x→+∞limf(x) exists.
D. When x→+∞limf(x) exists, x→+∞limx∫0xf(t)dt exists.
limitderivativeintegralL'Hopital's rule
Approach:
This question tests the logical relations between the limit of a function, the limit of its derivative and the limit of its integral average. All four options are statements of the form “the existence of one limit implies the existence of another limit”; they can be judged one by one, and counterexamples are constructed where necessary.
Steps:
For option A: take f(x)=xsinx2; then x→+∞limf(x)=0 exists, but f′(x)=x22x2cosx2−sinx2 has no limit as x→+∞, so A is wrong.
For option B: take f(x)=x; then f′(x)=2x1→0 exists, but x→+∞limf(x)=+∞ does not exist, so B is wrong.
For option C: take f(x)=cosx; then x→+∞limx∫0xf(t)dt=x→+∞limxsinx=0 exists, but x→+∞limf(x) does not exist, so C is wrong.
For option D: if A=x→+∞limf(x) exists, then by L’Hopital’s rule x→+∞limx∫0xf(t)dt=x→+∞lim1f(x)=A exists, so D is correct, and D is the correct choice.
Answer:
D
4. Let the function f(x,y) be continuous. Then ∫−22dx∫4−x24f(x,y)dy=
A. ∫04dy∫−4−y4−yf(x,y)dx+∫−20dx∫4−x24f(x,y)dy.
B. ∫04[∫−4−y2f(x,y)dx+∫24−yf(x,y)dx]dy.
C. ∫04[∫−4−y2f(x,y)dx+∫4−y2f(x,y)dx]dy.
D. 2∫04dy∫4−y2f(x,y)dx.
double integralregion of integrationinterchange of the order of integration
Approach:
This question tests the interchange of the order of integration of a double integral. First determine the region of integration, then split the region into two parts according to the sign of x, and interchange the order of integration in one of them.
Steps:
From the original expression ∫−22dx∫4−x24f(x,y)dy we see that the region of integration is D={(x,y)∣4−x2≤y≤4,−2≤x≤2}.
Denote D1={(x,y)∣4−x2≤y≤4,−2≤x≤0}, D2={(x,y)∣4−x2≤y≤4,0≤x≤2}; then I=∬D1fdσ+∬D2fdσ.
Interchange the order of integration for D2: with y fixed, −x2+y−4≤0 means x2≥4−y, and combined with 0≤x≤2 this gives 4−y≤x≤2, and 0≤y≤4, so ∬D2fdσ=∫04dy∫4−y2f(x,y)dx.
Meanwhile ∬D1fdσ=∫−20dx∫4−x24f(x,y)dy keeps the original order.
Adding the two gives the expression of option (A), so (A) is the correct choice.
Answer:
A
5. The positive index of inertia of the quadratic form f(x1,x2,x3)=x12+2x1x2+2x1x3 is
A. 0.
B. 1.
C. 2.
D. 3.
quadratic formeigenvalueindex of inertiamatrix
Approach:
This question tests the positive index of inertia of a quadratic form. The positive index of inertia equals the number of positive eigenvalues of the matrix of the quadratic form, so it is enough to find the eigenvalues.
Steps:
The matrix of the quadratic form is A=111100100.
Compute the characteristic polynomial: ∣λE−A∣=λ−1−1−1−1λ0−10λ=λ[λ(λ−1)−1−1]=λ(λ2−λ−2).
Factoring gives ∣λE−A∣=λ(λ−2)(λ+1), so the eigenvalues are λ1=0,λ2=2,λ3=−1.
There is only one positive eigenvalue, namely λ2=2, so the positive index of inertia is 1, and (B) is the correct choice.
Answer:
B
6. Let α1,α2,α3,α4 be n-dimensional column vectors, with α1,α2 linearly independent, α1,α2,α3 linearly dependent, and α1+α2+α4=0. In the rectangular coordinate system O−xyz in space, the geometric figure described by the system of equations in x,y,zxα1+yα2+zα3=α4 is
A. A plane through the origin.
B. A straight line through the origin.
C. A plane not passing through the origin.
D. A straight line not passing through the origin.
This question tests the geometric meaning of the solution set of a system of linear equations and the rank of a matrix. First the ranks of the coefficient matrix and of the augmented matrix are obtained from the linear relations among the vectors, and then it is decided whether the solution set is a plane or a straight line.
Steps:
Denote A=(α1,α2,α3). Since α1,α2 are linearly independent while α1,α2,α3 are linearly dependent, r(A)=2.
Denote A=(α1,α2,α3,α4); from α1+α2+α4=0 we know that α4 can be represented as a linear combination of α1,α2, so r(A)=2.
Hence Ax=α4 has infinitely many solutions, and the solution set is described by xα1+yα2+zα3=α4, which is a plane in space.
Moreover, if that plane passed through the origin, then α4=0, which contradicts the linear independence of α1,α2, so the plane does not pass through the origin.
Hence its geometric figure is a plane not passing through the origin, and (D) is the correct choice.
Answer:
D
7. Let n be the order of the matrices A,B,C, which satisfy r(A)+r(B)+r(C)=r(ABC)+2n. The following four conclusions are given:
(1) r(ABC)+n=r(AB)+r(C);
(2) r(AB)+n=r(A)+r(B);
(3) r(A)=r(B)=r(C)=n;
(4) r(AB)=r(BC)=n.
The numbers of the correct conclusions are
A. (1) and (2).
B. (1) and (3).
C. (2) and (4).
D. (3) and (4).
matrix rankmatrix operationlinear algebra
Approach:
This question tests the operational rules for the rank of a matrix and the verification of the conclusions by counterexamples. As soon as one of the four conclusions fails to hold, a matrix satisfying the condition can be constructed to rule it out.
Steps:
Take A=100000000, B=001010100, C=E; then r(A)=1,r(B)=1,r(C)=3, and ABC=B, r(ABC)=1.
Check the condition: r(A)+r(B)+r(C)=1+1+3=5, whereas r(ABC)+2n=1+6=7.
Conclusion (3) gives r(A)=r(B)=r(C)=n, that is all three equal 3, which contradicts r(A)=1,r(B)=1 in the example above, so (3) does not hold.
Conclusion (4) gives r(AB)=r(BC)=n, whereas in the example above AB=0 gives r(AB)=0 and BC=B gives r(BC)=1, neither of which equals 3, so (4) does not hold.
Hence the correct conclusions can only be (1) and (2), that is option (A) is the correct choice.
Answer:
A
8. Let the two-dimensional random variable (X,Y) follow the normal distribution N(0,0;1,1;ρ), where ρ∈(−1,1). If a,b are arbitrary real numbers satisfying a2+b2=1, then the maximum of D(aX+bY) is
A. 1.
B. 2.
C. 1+∣ρ∣.
D. 1+ρ2.
probability theorynormal distributionvarianceextremum
Approach:
This question tests the variance and the maximum of a linear combination of a two-dimensional normal distribution. Write D(aX+bY) as a function of a, and then find its maximum under the constraint a2+b2=1.
Steps:
From D(X)=D(Y)=1 and Cov(X,Y)=ρ, we get D(aX+bY)=a2DX+b2DY+2abCov(X,Y)=a2+b2+2abρ.
From a2+b2=1, we get D(aX+bY)=1+2abρ.
From a2+b2=1 we know that ∣ab∣≤21, with equality when a2=b2=21, so the maximum of 2abρ is ∣ρ∣.
Hence the maximum of D(aX+bY) is 1+∣ρ∣, and (C) is the correct choice.
Answer:
C
9. Let X1,X2,⋯,X20 be a simple random sample from the population B(1,0.1). Put T=i=1∑20Xi. Using the method of approximating a binomial distribution by a Poisson distribution, we get P{T≤1}≈
A. e21.
B. e22.
C. e23.
D. e24.
probability theorybinomial distributionPoisson distributionprobability calculation
Approach:
This question tests the approximation of a binomial distribution by a Poisson distribution. When n is large and p is small, B(n,p) can be approximated by a Poisson distribution with parameter np.
Steps:
T=i=1∑20Xi∼B(20,0.1), with parameter np=20×0.1=2.
Approximate by the Poisson distribution with parameter 2: P{T=k}≈k!2ke−2.
10. Let X1,X2,⋯,Xn be a simple random sample from the normal population N(μ,2). Denote X=n1i=1∑nXi, and let Zα denote the upper α quantile of the standard normal distribution. The rejection region of the test of the hypothesis testing problem H0:μ≤1,H1:μ>1 at significance level α is
A. {(X1,X2,⋯,Xn)∣X>1+n2Zα}.
B. {(X1,X2,⋯,Xn)∣X>1+n2Zα}.
C. {(X1,X2,⋯,Xn)∣X>1+n2Zα}.
D. {(X1,X2,⋯,Xn)∣X>1+n2Zα}.
mathematical statisticshypothesis testingnormal distributionrejection region
Approach:
This question tests the rejection region of a one-sided test for a normal population. The test statistic σ/nX−μ follows the standard normal distribution, and substituting the boundary value of the null hypothesis gives the rejection region.
Steps:
Since X1,…,Xn come from N(μ,2), we know that σ=2, and σ/nX−μ∼N(0,1).
For the one-sided test H0:μ≤1,H1:μ>1, the rejection region is 2/nX−1>Zα.
Rearranging gives X>1+n2Zα.
Hence (D) is the correct choice.
Answer:
D
Part II: Fill in the Blank
Part II: Fill in the Blank: Questions 11-16, 5 points each, 30 points in total.
11. x→0+limlnx⋅ln(1−x)xx−1=____.
limitL'Hopital's rulelogarithmic function
Approach:
This question tests the application of equivalent infinitesimals in the computation of a limit. Write xx as exlnx and then simplify with eu−1∼u.
Steps:
Since x→0+ implies lnx→−∞ and ln(1−x)∼−x, we have lnx⋅ln(1−x)∼−xlnx.
Also xx−1=exlnx−1∼xlnx.
Hence the original expression =x→0+lim−xlnxxlnx=−1.
Answer:
−1.
12. Given that the Fourier series of the function f(x)=⎩⎨⎧0,x2,0≤x<2121≤x≤1 is n=1∑∞bnsinnπx, and S(x) is the sum function of n=1∑∞bnsinnπx, then S(−27)=____.
Fourier seriessum functionperiodicity
Approach:
This question tests the periodicity of the sum function of a Fourier series. The Fourier series of f, ∑bnsinnπx, has period 2, so first the point is moved back into [0,1] by periodicity, and then the value is substituted.
Steps:
The least positive period of sinnπx is 2, so S(x) has period 2.
Hence S(−27)=S(−27+4)=S(21).
Since x=21 is a point of continuity of f, S(21)=f(21)=(21)2=81.
Answer:
81.
13. Given the function u(x,y,z)=xy2z3 and the vector n=(2,2,−1), then ∂n∂u(1,1,1)=____.
partial derivativedirectional derivativevectormultivariable function
Approach:
This question tests the computation of a directional derivative. The directional derivative is the inner product of the gradient with the unit vector in that direction.
Steps:
The partial derivatives are ∂x∂u=y2z3, ∂y∂u=2xyz3, ∂z∂u=3xy2z2.
The gradient at (1,1,1) is (1,2,3).
The length of the direction vector n=(2,2,−1) is 4+4+1=3, and its unit vector is n0=(32,32,−31).
The directional derivative ∂n∂u(1,1,1)=(1,2,3)⋅(32,32,−31)=32+34−1=1.
Answer:
1.
14. Let the oriented curve L be the part of the parabola y=1−x2 from the point (1,0) to the point (−1,0). Then the line integral ∫L(y+cosx)dx+(2x+cosy)dy=____.
line integralGreen's formuladouble integraltrigonometric function
Approach:
This question tests a second-kind line integral together with Green’s formula. The curve L is not closed, so a straight segment is added to close it, and then Green’s formula turns the integral into a double integral.
Steps:
Put P=y+cosx, Q=2x+cosy, then ∂x∂Q−∂y∂P=2−1=1.
Let L0 be the straight segment from (−1,0) to (1,0); then L and L0 enclose the region D={x2+y2≤1,y≥0}.
By Green’s formula, the integral along the closed circuit formed by L0 and L is I1=∬D(∂x∂Q−∂y∂P)dσ=∬D1dσ=∫−11(1−x2)dx=34.
The integral along L0 is I2=∫−11cosxdx=2sin1 (here y=0,dy=0).
Since L0 and L have opposite directions, I=I1−I2=34−2sin1.
Answer:
34−2sin1.
15. Let the matrix A=4ab235−3−4−7. If the systems of equations A2x=0 and Ax=0 do not have the same solutions, then a−b=____.
matrixdeterminantsystem of linear equationsmatrix rank
Approach:
This question tests the relation between a power of a matrix and the solutions of a system of equations. The fact that A2x=0 and Ax=0 do not have the same solutions means that A is not invertible, so the parameters can be determined from the vanishing of the determinant.
Steps:
If A were invertible, then A2x=0⟺Ax=0, and the two would have the same solutions, contradicting the statement; hence A is not invertible, that is ∣A∣=0.
Compute the determinant (expanding with respect to the doubling property of the second and the third column): ∣A∣=401−1−2−(a−b)11−1−2.
Here 01−1−2=1 and 11−1−2=−1, so ∣A∣=4−(a−b)⋅(−1)=4+a−b.
Setting ∣A∣=0 gives a−b=−4.
Answer:
−4.
16. Let A,B be two random events, with A and B mutually independent. Given P(A)=2P(B),P(A∪B)=85, then, under the condition that at least one of the events A,B occurs, the probability that exactly one of A,B occurs is____.
probability theoryconditional probabilityindependence of eventsprobability calculation
Approach:
This question tests the probability calculation for independent events and the conditional probability. First use independence to turn the probability of the union into an equation in P(B), solve for P(A),P(B), and then compute the conditional probability.
Steps:
Put p=P(B), then P(A)=2p, and by independence P(AB)=P(A)P(B)=2p2.
From P(A∪B)=P(A)+P(B)−P(AB)=85 we get 3p−2p2=85, that is 16p2−24p+5=0, that is (4p−1)(4p−5)=0.
Take p=41 (the value p=45>1 is discarded), which gives P(B)=41,P(A)=21.
Hence the probability that “exactly one occurs” is P(AB)+P(AB)=P(A)+P(B)−2P(A)P(B)=21+41−2⋅21⋅41=21.
Under the condition that A∪B occurs, the required conditional probability is 5/81/2=54.
Answer:
54.
Part III: Free Response
Part III: Free Response: Questions 17-22, 70 points in total. The solutions should include verbal explanations, proof procedures or computational steps.
17. (10 points)
Compute ∫01(x+1)(x2−2x+2)1dx.
integralintegral of a rational functionpartial fraction decompositioninverse trigonometric function
Approach:
This question tests the indefinite integral of a rational function. First make a partial fraction decomposition and then integrate term by term, where the quadratic factor is turned into an arctangent after completing the square.
Steps:
Make the partial fraction decomposition: (x+1)(x2−2x+2)1=x+1A+x2−2x+2Bx+C; comparing coefficients gives A=51,B=−31,C=53.
Hence the original integral =∫01(5(x+1)1+x2−2x+2−31x+53)dx.
Here x2−2x+2−31x+53=−61⋅x2−2x+22x−2+53⋅(x−1)2+11.
Integrate term by term: 51ln2+101ln22+53[arctan(x−1)]01=51ln2+53⋅4π.
That is, the original integral =103ln2+101π.
Answer:
103ln2+101π.
18. (10 points)
Given that the function f(u) has a second derivative on the interval (0,+∞), and putting g(x,y)=f(yx), if g(x,y) satisfies
x2∂x2∂2g+xy∂x∂y∂2g+y2∂y2∂2g=1,
and g(x,x)=1,∂x∂g(x,x)=x2, find f(u).
partial differential equationmultivariable functionderivative of a composite functiondifferential equation
Approach:
This question tests the partial derivatives of a composite function of several variables and an ordinary differential equation with a parameter. First use the chain rule to express all the partial derivatives of g in terms of f′ and f′′, substitute them into the original equation to obtain an ordinary differential equation in u, and finally use the initial values to determine the constant.
Steps:
Put u=yx, then ∂x∂g=f′(u)y1 and ∂y∂g=f′(u)(−y2x).
From g(x,x)=f(1)=1 and ∂x∂g(x,x)=f′(1)x1=x2 we get f′(1)=2.
Compute the second partial derivatives: ∂x2∂2g=f′′(u)y21, ∂x∂y∂2g=−y3xf′′(u)−y21f′(u), ∂y2∂2g=y4x2f′′(u)+y32xf′(u).
Substituting the above into the original equation and simplifying gives u2f′′(u)+uf′(u)+u21f′(u)=u21.
Put p=f′(u), then u2p′′+up′+u21p′=u21, which gives p=ulnu+u2.
Hence f′(u)=ulnu+u2, and integrating gives f(u)=21ln2u+2lnu+C; since f(1)=1 we get C=1.
Answer:
f(u)=21ln2u+2lnu+1.
19. (10 points)
Let the function f(x) be differentiable on the interval (a,b). Prove that the derivative f′(x) is strictly increasing on (a,b) if and only if the following holds for the interval (a,b): for arbitrary x1,x2,x3 in it, when x1<x2<x3,
derivativemonotonicityLagrange mean value theoremproof of a necessary and sufficient condition
Approach:
This question asks for the proof of a necessary and sufficient condition concerning the order of the slopes of secants. For sufficiency the monotonicity of f′ is squeezed out of the limit of the secant slopes (that is, the left and right derivatives); for necessity the Lagrange mean value theorem is used directly.
Steps:
Solution:
Sufficiency: suppose that in (a,b), for arbitrary x1,x2,x3, when x1<x2<x3, we always have
Letting both sides of x2−x1f(x2)−f(x1)<x3−x2f(x3)−f(x2) tend to x2→x1+ gives
f+′(x1)≤x3−x1f(x3)−f(x1)
and letting x2→x3− on both sides gives
x3−x1f(x3)−f(x1)≤f−′(x3)
that is,
f+′(x1)≤x3−x1f(x3)−f(x1)≤f−′(x3)
Similarly we get f+′(x3)≤f−′(x5). Since
x3−x1f(x3)−f(x1)<x5−x3f(x5)−f(x3)
it follows that f+′(x1)≤f−′(x5). By the arbitrariness of x1,x5, we get that f′(x) is strictly increasing on (a,b), and the sufficiency is proved.
Now prove the necessity, that is, assume that f′(x) is monotonically increasing. Applying the Lagrange mean value theorem separately on [x1,x2],[x2,x3], we know that there exist ξ1∈(x1,x2),ξ2∈(x2,x3) such that
Since f′(x) is monotonically increasing and ξ1<ξ2, we know that f′(ξ1)<f′(ξ2), that is,
x2−x1f(x2)−f(x1)<x3−x2f(x3)−f(x2)
and the necessity is proved.
In summary, the necessary and sufficient condition is proved.
Answer:
The necessary and sufficient condition holds: for the interval (a,b) and arbitrary x1<x2<x3 in it, the inequality x2−x1f(x2)−f(x1)<x3−x1f(x3)−f(x1)<x3−x2f(x3)−f(x2) holds if and only if f′(x) is strictly increasing on (a,b).
20. (10 points)
Let Σ be the surface obtained by rotating the straight line {x=0,y=0 once around the straight line {y=t,z=t (t is the parameter), and let Σ1 be the outer side of the part of Σ lying between the plane x+y+z=0 and the plane x+y+z=1. Compute the surface integral
I=∬Σ1xdydz+(y+1)dzdx+(z+2)dxdy
surface integralGauss's formulasurface of revolutiontriple integral
Approach:
This question tests the application of Gauss’s formula. The surface Σ1 is the part of a surface of revolution cut off by two planes, so it is not closed; the plane Σ0:x+y+z=1 is added to complete a closed surface, Gauss’s formula turns the integral into a triple integral, and the contribution of the added face is subtracted.
Steps:
Solution:
From the statement, the straight line ⎩⎨⎧x=t,y=0,z=t is denoted by l1 and the straight line ⎩⎨⎧x=t,y=t,z=t is denoted by l2; then the line l1 rotating around the line l2 gives the surface Σ, which is (x−t)2+(y−t)2+(z−t)2=3t2.
It is known that Σ1 is the outer side of Σ lying between the plane x+y+z=0 and x+y+z=1, so the added face is Σ0:x+y+z=1, with the direction pointing outwards. Then Σ0 and Σ1 enclose a closed region, and by Gauss’s formula,
This question tests the characteristic polynomial of a matrix and a linear algebra computation starting from an eigenvector. First determine the parameter from the constant term of the characteristic polynomial, and then use (A−E)2α=0 to describe the relation between α,β.
Steps:
(1) Compute the characteristic polynomial f(λ)=∣A−λE∣=(1−λ)[(λ−a)(λ+1)+4].
From f(1)=0 we get (1−a)⋅2+4=0, which gives a=3.
(2) At this point A=0−1−1−10−1223, whose eigenvalues are λ1=λ2=λ3=1.
From Aα=α+β and A2α=α+2β we get (A−E)α=β and (A−E)2α=2β=2(A−E)α, that is (A−E)2α=0.
Since (A−E)2=0, α may be any nonzero column vector α=(a1,a2,a3)T, where a1a2a3=0.
At this point β=(A−E)α=2a3−a1−a22a3−a1−a22a3−a1−a2, and it is required that a1+a2=2a3 (otherwise β=0, which contradicts the statement).
Answer:
(1) a=3;
(2) α=(a1,a2,a3)T is an arbitrary nonzero column vector (a1a2a3=0), β=(2a3−a1−a2)(1,1,1)T, and a1+a2=2a3.
22. (12 points)
When the loss event of the policyholder occurs, the relation between the compensation amount Y paid by the insurance company and the loss amount X of the policyholder is
Y={0,x−100,X≤100,X>100
Given that when the loss event occurs, the probability density of the loss amount X of the policyholder is
f(x)=⎩⎨⎧(100+x)32×1002,0,x>0,x≤0
(1) Find P{Y>0} and EY.
(2) Let the number of occurrences of this kind of loss event in one year be denoted by N, and let the number of claims handled by the insurance company for this kind of loss event in one year be denoted by M. Suppose that N follows a Poisson distribution with parameter 8, and that under the condition N=n(n≥1), M follows the binomial distribution B(n,p), where p=P{Y>0}. Find the probability distribution of M.
probability densityexpectationPoisson distributionbinomial distribution
Approach:
This question tests the computation of a probability and an expectation from a probability density, and the mixture of a Poisson distribution with a binomial distribution. The compensation amount Y is nonzero only when the loss exceeds 100, so first P{Y>0} and EY are computed from the density; then the distribution of M is written as a sum over N by the law of total probability, and finally the expansion of the Poisson distribution turns it into a Poisson distribution.