\documentclass{article}
\usepackage[shortlabels]{enumitem}
\usepackage{amsmath,amssymb,fixdif}
\newcommand*{\answerline}{\rule[-.5ex]{2cm}{.5pt}}
\newcommand*{\score}[1]{#1′}
\title{\bfseries The 15th National Mathematical Preliminary Contest$$2ex]
\normalsize For non-math students (Type A)}
\date{}
\begin{document}
\maketitle
\begin{enumerate}[1.]
\item (\score{6}×5, \score{30} totally)
\begin{enumerate}[(1)]
\item limx→32−x3−23x3+9−6=\answerline.
\item Let z=f(x2−y2,xy) and f(u,v) have continuous second-order
partial derivatives, then ∂x∂y∂2z=\answerline.
\item Let f(x)=x2−3x+21, then f(n)(0)=\answerline.
\item The convergence domain of the series ∑n=1∞n(2n−1)(−1)n−1x2n is \answerline.
\item Let the surface Σ be the part of the plane y+z=5
intercepted by the cylinder x2+y2=25, then ∬Σ(x+y+z)\dS=\answerline.
\end{enumerate}
\item (\score{14}) Let Σ1 be the cone which takes (0,4,0) as its vertex
and is tangent to the surface Σ2:3x2+4y2+3z2=1
(y>0), calculate the volume of the region enclosed by Σ1 and Σ2.
\item (\score{14}) Let In=n∫1a1+xn\dx, where a>1.
Calculate limn→∞In.
\item (\score{14}) Suppose f(x) has continuous derivative on [0,1] and f(0)=0. Prove that ∫01f2(x)\dx≤4∫01(1−x)2∣f′(x)∣2\dx,
and find the f(x) when the inequality becomes an equality.
\item (\score{14}) Suppose the sequence {xn} satisfies x0=31, xn+1=1−xn+xn2xn2, n≥0.
Prove that the series ∑n=0∞xn converges and find the sum.
\end{enumerate}
\end{document}中文解答
الفكرة
Mapping out the contest
I'm analyzing a math contest with problems on limits, derivatives, convergence, integrals, and differential equations. Each problem is assigned specific points towards a total score of 100.
Summing and folding
I'm working through a series sum and its convergence. Evaluating limits and connecting it to expansion techniques, this approach helps address zero-form indeterminate forms systematically.
Crunching the numbers
I'm simplifying square roots and fractions to determine the limit of the expression as h approaches zero, ultimately reaching -1/3.
Breaking down derivatives
I’m piecing together the partial derivative of z with respect to y using the chain rule, leading to the expression zxy=2x[fuu(−2y)+fuvx].
Summing up derivatives
Combining derivatives, we get a final expression for zxy as zxy=2x[fuu(−2y)+fuvx]. It’s interesting to see this progression.
Piecing together derivatives
I’m adding the derivatives from z_x and z_y, simplifying and grouping like terms. This leads me to express z_{xy} as:
zxy=−4xyfuu+(2x2−2y2)fuv+xyfvv+fv.
Breaking down the function
I factor the denominator of f(x) and use partial fractions to simplify. Then, I expand each term into a power series around x=0 to find the nth derivative at 0.
Distributing the power series
OK, let me see. I distribute the power series for 1−u1 with u=2x, removing the negative factor, and simplifying to ∑n=0∞2nxn.
Summing the series
I combine the power series terms for f(x), identifying the coefficient of xn in the Maclaurin series as 1−2n+11.
Confirming convergence
I’m verifying the radius of convergence for the series, concluding it to be 1 in terms of x2. Additionally, I confirm absolute convergence at x=±1.
Calculating surface integral
I’m working out the surface integral for the disk of radius 5. Parametrizing by x and y, I use dz=−dy to determine dS.
Transforming the integral
I’m converting the surface integral into polar coordinates, simplifying x+5 with rcosθ+5. Integrating over r and θ simplifies to 125π.
Taking a closer look
I’ve carefully integrated in polar coordinates, confirming the surface integral equals 125π2, and rewrote the ODE using M and N for further simplification.
Reassessing substitution
I'm working through a simpler substitution, checking for symmetry, and trying to see if the differential equation can be expressed with a function F(x,y) to satisfy zero differential.
Tracing the equation
Taking a closer look, I’m mapping out potential integrating factors and transformations to simplify the ODE into a form that could potentially make solving it more straightforward.
Calculating partial derivatives
I’m checking to see if the ODE can be simplified by calculating ∂N/∂x and ∂M/∂y to see if they match. This approach might reveal useful symmetries.
Examining partial derivatives
I’m calculating partial derivatives to determine if the ODE can be simplified by comparing ∂N/∂x with ∂M/∂y, though they currently differ.
Breaking down the equation
I’m factoring and substituting v=xy to simplify the ODE. This approach streamlines the expression by reducing it to x(2v−v1).
Simplifying terms
I’m working through multiplying and analyzing the denominator to further streamline the ODE, aiming to simplify the equation for easier handling or solving.
Analyzing the equation
I’m piecing together an alternative method by rearranging the ODE, aiming to simplify it through integration by parts or other transformative methods. This approach brings fresh insights.
Pulling together insights
I’m checking for an integrating factor by assessing whether the ODE is exact. It’s interesting to see that the adding of terms and simplifying process doesn’t yield an exact ODE.
Reorganizing the equation
I’m working through simplifying the ODE by rearranging and separating terms, aiming to isolate variables and potentially find a more straightforward method for solving it.
Transforming perspectives
I'm considering x as a function of y and inverting the differential equation. This approach might provide a clearer path to solving it by restructuring the terms.
Trying another way
I’m redefining variables p and q to spot a relationship by linking their derivatives. This method might simplify the ODE for a more straightforward solution.
Simplifying expressions
By defining p and q, I derived dxdp as 2x[1+p2q], clarifying the relationships and aiding in further simplification.
Breaking down the solution
OK, let's think it through: I’m deriving dxdq and linking it to p and q. This approach helps identify an equation to separate variables effectively.
Transforming variables
I’m simplifying differential relationships by dividing dp/dxdq/dx, which leads me to a new differential equation in terms of q and p. This method clarifies the relationships.
Handling variable relationships
By treating q as the dependent variable and p as the independent one, I can manage their relationships with a methodical approach to simplify the differential equation.
Rearranging and redefining
I’m piecing together the differential equation by grouping terms and rethinking the variables. This involves defining a new variable and organizing terms to streamline the equation.
Rewriting the equation
I’m substituting q=ap to reshape the differential equation. This redefinition helps simplify the equation, leading to a+pdpda=1+2a4a−1.
Breaking down the equation
I’m simplifying pdpda=p(1+2a)−(2a−1)(a−1), solving for a and identifying potential values to structure the solution.
Engaging algebraic methods
I’m working through partial fractions and integration to separate variables and solve the ODE. This approach clarifies integrating (2a−1)(a−1)1+2a over 2a−1 and a−1.
Breaking down coefficients
I’m solving the system of equations from partial fraction decomposition to find A and B. Integrating with the derived constants gives ∫[(1+2a)/((2a−1)(a−1))]da.
Isolating the variable
I’m working through isolating p by linking terms through logarithms, leading to p=C×(a−1)3(2a−1)2 with derived constant C and a=pq.
Simplifying variables
I’m working through simplifying and reworking (2a−1) in terms of x and y. This approach should streamline the differential equation for easier solving.
Pulling together
I’m mapping out the terms to simplify (2a−1) and (a−1) using x and y, aiming to restructure the differential equation for clarity.
Connecting variables
I'm crafting an implicit relationship between x and y using F(x,y), which might represent a set of solutions to the differential equation. This method shows progress in unraveling the connections.
Simplifying the approach
I'm defining X and Y as x2 and y2 respectively, then deriving partial derivatives to rewrite the ODE, aiming to simplify the equation for easier solving.
Breaking down the equation
By considering X and Y as x2 and y2, I'm reworking the differential equation. This method simplifies the terms, making the equation easier to solve.
Breaking it down
OK, I’m thinking through the differential equation by redefining and simplifying terms with X and Y. This approach helps streamline the problem-solving process further.
Rewriting and rethinking
I’m piecing together thoughts on the differential equation, adapting terms with X and Y, and re-checking for exactness. This method simplifies and clarifies the equations for further analysis.
Reworking the equation
OK, let me see. By setting Q=XY, I differentiate and simplify the equation. This makes it easier to understand the relationships between the variables.
Testing direct methods
I’m curious about isolated variables and direct methods. This yields dXdQ as X(1+Q)+3Q2−2Q−Q+2.
Separating variables
I’m working through separating variables to solve dXdQ. This involves canceling X and applying the derived relationships. Progress is being made through these steps.
Formulating relationships
I’m digging into the connections between R, X, and Q, aiming to express dXdQ in terms of R and simplify the differential equation.
Working through the ODE
By reworking dQ and dX, I’m mapping out how relationships between R, X, and Q can streamline the differential equation, potentially revealing an implicit form.
Mapping out partial fractions
I’m expressing the equation using partial fractions and matching coefficients, which helps simplify the ODE into a more manageable form with constants A and B.
Piecing together
I’m examining the integral of the differential equation by separating variables and using partial fractions. This method simplifies the ODE and highlights the relationships among Q, R, and X.
Assessing complexity
I’m thinking through the implicit relationship between Q, R, and X. The complexity suggests the final answer might be an implicit form, hinting at deeper connections.
Reflecting on tangency
I’m mapping out how a tangent line from (0,4,0) to the ellipsoid can form a cone. The challenge is determining if a single tangent sliver forms this cone from the ellipsoid's apex.
Tackling tangency
I’m thinking about the tangent condition between a line from (0,4,0) and the ellipsoid by ensuring the quadratic equation discriminant equals zero. This simplifies the tangency calculation.
Constructing the cone
By working with the tangent condition, I’m mapping out the cone's equation and figuring out the volume between it and the ellipsoid. This involves a quadratic equation and volume techniques.
Mapping the solution
I'm piecing together the cone's equation using the tangent condition and given coordinates. This involves simplifying terms and focusing on the y>0 portion of the cone.
Integrating volume
I’m calculating the volume between the tangent cone and the shifted ellipsoid. This involves setting up a triple integral in cylindrical coordinates around the y-axis.
Shifting and recalculating
I’m starting by shifting the origin and expressing y in terms of r and θ. This leads to the cone's equation becoming y=2r+4.
Shifting to cylindrical coordinates
I’m recalculating the ellipsoid equation, aiming to identify how it intersects with the shifted cone. It seems r = -3/2, which doesn’t make sense for r ≥ 0.
Assessing the intersection
I’m working through the cone's intersection with the ellipsoid, noting the negative intersection point and considering if the cone and ellipsoid enclose any volume.
Analyzing the boundaries
I’m piecing together the volume enclosed by the cone tangent to the ellipsoid. The vertex is outside the ellipsoid, so the formula for this specific volume is key.
Shifting the focus
I’m shifting the origin to the vertex and looking at the ellipsoid's boundary. Considering a triple integral or dual quadric might simplify the calculation of the enclosed volume.
Investigating the tangent
Mapping a plane through the vertex touching the ellipsoid, using the tangent point on the y-axis as a reference to calculate the enclosed volume of the cone.
Adjusting my approach
I’m reconsidering whether the plane through the tangent point on the y-axis is valid. Evaluating the gradient at the tangent point to determine if it’s feasible.
Determining tangency
I’m noting that the gradient at the tangent point must be collinear with the vector from the external point to ensure the condition of tangency.
Determining collinearity
I’m solving the equation to ensure the vectors are collinear, finding lambda equals 2/3. This leads to y0=16, which doesn't satisfy the ellipsoid equation, suggesting z0 must be 0.
Identifying the tangent vertex
I’m figuring out the tangent point by checking if the vectors align. The direction from (0,4,0) to (0,2,0) matches the ellipsoid's gradient, suggesting collinearity and potential tangency.
Confirming intersection point
OK, I’m checking if the line (0,4,0) to (0,2,0) really intersects the ellipsoid at (0,2,0). Only one intersection point is valid.
Evaluating tangency
OK, let me see. The line intersects the ellipsoid at two points, which suggests the tangent point doesn't have x=0. This hints that no real tangent exists for x=0.
Assessing the situation
The point (0,4,0) lies outside the ellipsoid and suggests the tangent might involve a plane. The problem hints the enclosed volume is likely 38π.
Understanding the integral
I’m evaluating In by examining the integrand 1+xn1 as n approaches infinity. The focus is on the integral's behavior near x=1 and x=a.
Adjusting my approach
I’m substituting x=1+ny to simplify the integral. This helps me approximate 1+ey1 as n increases, leading to logarithmic results.
Reaching the conclusion
I determined that In tends to ln(2) by approximating the integral and applying the known result ∫0∞1+ex1dx=ln(2).
Weighing direct and classical methods
Considering the functional ratio R and classical techniques like integration by parts to address the integral inequality.
Piecing together possibilities
Testing forms like f(x)=A(1−x) and taking a closer look at the Euler-Lagrange approach to optimize integral constraints, leading to a typical Sturm-Liouville problem.
Mapping steps
Trying g′(x)=−g′(1−x) to simplify things. Considering f(x)=c(1−x) for boundary conditions. Progress and guessing involved in refining the function.
Taking a closer look
Testing f(x)=cx(1−x). Calculating integral contributions on both sides. Considering weighted inequality or minimal value methods for clarity.
Determining saturation
I’m thinking about f(x)=Ax(1−x), checking boundary conditions. Then, I apply the Cauchy-Schwarz inequality for further insights.
Analyzing convergence
OK, let me see the sequence defined by xn+1=1−xn+xn2xn2. I'll explore if ∑n=0∞xn converges.
Transforming the sequence
I reframe the sequence to an=xn1 and redefine the recursion. This offers a fresh perspective on understanding the sequence's convergence.
Transforming my approach
I reframe an as bn+1. The bn terms evolve exponentially, indicating bn+1=bn2+bn.
Examining convergence
I reframe xn as an1, noting rapid decay. I then explore partial fractions and telescoping methods, which suggest possible series convergence.
Analyzing sequence dynamics
Tracking the partial sums of xn reveals an intriguing pattern. The series seems to converge to 1, but further exploration is needed to confirm this.
Verifying calculations
I’m checking the calculations for x2 and x3, noticing a recursive formula for an. The sequence approximates 1, confirming the series' convergence.
Analyzing sequence convergence
I’m examining the sequence {xn} using the recursive formula for {an}. This approach suggests a telescoping series might be possible if we consider an1.
Thought about mathematical contest problems,持续 9m 42s