Kvant
Kvant Problem Book

Solutions to problems M70—M73; F79—F82

Rough automatic draft, low quality: expect mistakes and awkward wording. It will be replaced by a better translation. Original →

26

In this issue we publish the solution to problems M70–M73

M70

Let l1,l2,…,lnl_1, l_2, \dots, l_n be several lines in the plane, among which there are two intersecting lines. Prove that it is possible, and in a unique way, to choose on each of these lines at the point X1,X2,…,XnX_1, X_2, \dots, X_n so that the redistribution restored at the point XiX_i to the line lil_i passes through the point Xi+1X_{i+1} (for all i=1,2,…,n−1i=1, 2, \dots, n-1), and the redistribution restored to lnl_n at the point XnX_n passes through the point X1X_1.

Try to formulate and prove a similar theorem in space.

This problem can also be formulated as follows. Let pip_i be a mapping that assigns to each point MM (on the plane) its projection onto the line lil_i, that is, pi(M)p_i(M) is the base of the redistribution dropped from the point MM to the line lil_i. It is required to prove that on the line l1l_1 there is a unique point X1X_1 such that after nn mappings

X1→pnXn→pn−1Xn−1→pn−2…X_1 \xrightarrow{p_n} X_n \xrightarrow{p_{n-1}} X_{n-1} \xrightarrow{p_{n-2}} \dots

turns into itself.

For an arbitrary point XX of the line l1l_1 denotes through f(X)f(X) the point on the line l1l_1 at which it passes

XX after nn mappings pn,pn−1,…,p1p_n, p_{n-1}, \dots, p_1 (Fig. 1); it is written like this:

f=p1∘p2∘⋯∘pn.f = p_1 \circ p_2 \circ \dots \circ p_n.

Let’s choose the origin and direction on each of our lines lil_i, that is, we’ll turn each of them into a numerical axis (we choose the same scale unit on all lines). (We identify a point (on a line) and its corresponding number—its coordinate—so that the maps p1,p2,…,pnp_1, p_2, \dots, p_n and ff can now be considered functions that

27

Each number is assigned a new number.

Let us prove that the mapping ff is linear: f(x)=ax+bf(x) = ax + b.

To do this, it is enough to prove the following three obvious statements.

(1) If ll and l′l' are two straight lines and p:l→l′p : l \rightarrow l' is a map that associates each point with its projection onto l′l', then pp is a linear map.

(2) If p1p_1 and p2p_2 are linear maps, then so is p1∘p2p_1^\circ p_2.

(3) If p1,p2,…,pnp_1, p_2, \dots, p_n are linear maps, then f=p1∘p2∘…pn∘f = p_1^\circ p_2^\circ \dots p_n^\circ is also a linear map.

It is clear that (3) is derived from (2) by induction. Check (2): if p1(x)=a1x+b1p_1(x) = a_1x + b_1 and p2(x)=a2x+b2p_2(x) = a_2x + b_2, then (p1∘p2)(x)=p1(p2(x))=a1a2x+(a1b2+b1)(p_1^\circ p_2)(x) = p_1(p_2(x)) = a_1a_2x + (a_1b_2 + b_1). To prove (1), check this formula:

p(x)=xcos⁡α+c,p(x) = x \cos \alpha + c,

where α\alpha is the angle between the positive direction of the axes OxOx and O′x′O'x', cc is the coordinate of the point p(O)p(O) in the system Ox′Ox' (Fig. 2; consider also the case when the lines ll and l1l_1 are parallel).

Now, to solve the problem, it is enough to show that the linear equation x=ax+bx = ax + b has a solution, and only one. If this is not the case (that is, if there are no solutions or more than one), then a=1a = 1. Let us prove that this cannot be. Note that with each projection pkp_k: lk+1→lkl_{k+1} \rightarrow l_k the distance between any two points does not increase:

∣pk(x)−pk(x′)∣≤∣x−x′∣,|p_k(x) - p_k(x')| \leq |x - x'|,

and if the lines lk+1l_{k+1} and lkl_k are not parallel, then strictly decreases. It follows that for any two points xx and x′x'

∣f(x)−f(x′)∣<∣x−x′∣.|f(x) - f(x')| < |x - x'|.

But if a=1a = 1, that is, if f(x)=x+bf(x) = x + b, then ff preserves the distances between any two points (it simply shifts them all by the distance bb). We got a contradiction. The proof is legal.

Problem M70 and our solution have been re-established without any changes for the case when the lines are located not on a plane, but in space (they can also be intersecting). In this case, pkp_k means projection onto the line lkl_k in space: a mapping that corresponds to each point the base of the perpendicular dropped from this point onto the line lkl_k.

Fig. 2. A mapping that assigns to each point on one line its projection onto another line is written as a linear function.

Fig. 3. Point X1X_1, for which f(X1)=X1f(X_1) = X_1, it is practically easy to find a method of successive approximations: starting from an arbitrary point XX, lower the perpendiculars to the given lines and find the successive after each “cycle” of the point X′=f(X)X' = f(X) X′′=f(X′)X'' = f(X') and so on. It is not difficult to prove that the distances ∣X−X1∣,∣X′−X1∣,∣X′′−X1∣|X - X_1|, |X' - X_1|, |X'' - X_1|, … form an infinite decreasing geometric progression with the value ∣a∣<1|a| < 1, so that by repeating the construction several times, we can find the position of the point X1X_1 with any ironclad accuracy. A similar method is very used to find a solution to an equation of the form f(X)=Xf(X) = X; it will be applied when the function ff decreases the distance between any two points. In our case, when ff is a linear function, labeled, the solution to equation f(X)=Xf(X) = X can be found exactly (think about how to find the point X1X_1 if X,X′X, X' and X′′X'' are known).

28

There is another possibility of generalization:
look at straight planes together. Can
prove, for example, the following fact: if the data nn
planes in space, among which
there are three intersecting at one point,
then it is possible and in the only way
select on each of these planes
point XkX_k (k=1,…,nk=1, \dots, n) so that the
ndikulier, restored at point XkX_k to co-
corresponding plane, passed through
point Xk+1X_{k+1} (and Xn+1=X1X_{n+1}=X_1). Now it’s already
f=p1⋅p2…pnf=p_1 \cdot p_2 \dots p_n will be a linear mapping
plane to plane and coordinates will be written as follows: f(x,y)=f(x, y)= (x′,y′)(x', y'), where x′=a1x+b1y+c1x'=a_1x+b_1y+c_1, y′=a2x+b2y+c2y'=a_2x+b_2y+c_2.

Prove that if the system of equations
{x=a1x+b1y+c1,y=a2x+b2y+c2\begin{cases} x=a_1x+b_1y+c_1, \\ y=a_2x+b_2y+c_2 \end{cases}
has no solutions or has more than one
solutions (this happens if (a1−1)(b2−1)−a2b1=0(a_1-1)(b_2-1)−a_2b_1=0), then the system x=a1x+b1yx=a_1x+b_1y, y=a2x+b2yy=a_2x+b_2y has a solution (x0,y0)(x_0, y_0), different from (0,0)(0,0), and that the mapping ff does not change the dis-
standing between points (0,0)(0,0) and (x0,y0)(x_0, y_0), which cannot happen in our problem.

Nanmore complete solutions to the problem
Slania F. Schmidel from Moscow, Yu. Obolonkov from Voronezh, M. Rozov from Minsk.

M71

A rectangular table of mm rows and nn columns is filled with numbers. Let’s rearrange the numbers in each line in ascending order. Prove that if you then rearrange the numbers in each column in ascending order, then in each row they will still appear in ascending order.

Think about what will happen if you act in a different order: in the original table, first rearrange the numbers in ascending order in the columns, and then in the rows: will the result be the same table as in the first case or a different one?

Let’s consider a table in which in each row the numbers are in ascending order, and prove that if l<rl<r, then the largest number in the rrth column (we denote it by bb) is not less than the largest number in the llth column (we denote it by aa). Indeed, the number at the intersection of the line where aa is and the rr column is no less than aa (because the numbers in the line are in ascending order).

Similarly, one can prove that the kkth largest number (counting from the largest number in the rr-column (bk)(b_k)) is no less than the kkth largest number in the llth column

29

Different tables are read. To verify this, it is enough to give an example (Fig. 5).

The problem was solved correctly by P. Ayulov, A. Brevdo, L. Brauzinsky, G. Vysotskaya, S. Grigoryan, A. Gordenko, I. Jabbarov, A. Kleyin, A. Kmizhnerman, I. Kochubeevsky, G. Levin, M. Preezer, E. Skryt, A. Slinkin, A. Chernyak and others. In addition to the solution, there are many others close to ours in which induction is carried out; In some works it has been proven that it is possible to rearrange each column in succession so that the numbers will always appear in the rows in ascending order.

N. B. Vasiliev

M72

Solve the equation
1−x3+1+x3=p,\sqrt[3]{1-x} + \sqrt[3]{1+x} = p,
(1)
where pp is an arbitrary real number.

A naive attempt at a solution: cube both sides of the equation
2+31−x23(1−x3+1+x3)=p32 + 3\sqrt[3]{1-x^2}\left(\sqrt[3]{1-x} + \sqrt[3]{1+x}\right) = p^3
(2)
and substitute here the original equality (1):
2+3p1−x23=p3.2 + 3p\sqrt[3]{1-x^2} = p^3. (3)
Now it’s easy to find xx:
x=±1−(p3−23p)3.x = \pm \sqrt{1 - \left(\frac{p^3 - 2}{3p}\right)^3}. (4)
We were sent many letters where this answer was received (in this and other ways). There were also quite a few letters in which it was correct to find a set of values ​​of pp for which formula (4) makes sense:
p=−1,0<p≤2.p = -1, \quad 0 < p \leq 2.
Some even noticed that the value p=−1p = -1 should be discarded, since the value x=0x = 0 given by the formula pp is not suitable. But it was not proven that for all pp, 0<p≤20 < p \leq 2 the value xx given by formula (4) are solutions. (Usually such a proof is a test, but here it is very difficult to do.) And this must be proven, since not all transformations performed above remain equivalent: equation (2) is not equivalent to (3). To see this, substitute x=0x = 0, p=−1p = -1 in (2) and (3). Equality (3) will return to the same place, but (2) will not. Therefore, the statements found in the letters that this transformation is equivalent are incorrect. (Indeed: try to derive (2) from (3). You will have to use equality (1), the conditions of the problem, and this cannot be done, since this is precisely what needs to be proven.) If this is so, then other roots may be constructed.

Let us examine in more detail the transformations we made to the equation. Let us denote 1−x3=u\sqrt[3]{1-x} = u and 1+x3=v\sqrt[3]{1+x} = v for brevity.

From Eq.
u+v=pu + v = p
we moved on to the equation
u3+v3+3uv(u+v)=p3u^3 + v^3 + 3uv(u + v) = p^3
(2)
using an equivalent transformation (raising the object into a cube). The next step is to substitute pp together with u+vu + v and go to the equation
u3+v3+3uvp=p3,u^3 + v^3 + 3uvp = p^3,
(3)
which we will write like this:
u3+v3−p3+3uvp=0,u^3 + v^3 - p^3 + 3uvp = 0,
(u+v)3−p3−3uv(u+v−p)=0.(u + v)^3 - p^3 - 3uv(u + v - p) = 0.
Let’s apply the formula for the difference of two cubes and then put (u+v−p)(u + v - p) out of brackets:
(u+v−p)(u2+v2+p2+up+pv−uv)=0.(u + v - p)(u^2 + v^2 + p^2 + up + pv - uv) = 0. (3’)
So, we managed to write equation (3) in this form (3’), from which it is easy to study why it is not equivalent to (2). It is clear that the left side of (3’) is equal to zero when at least one parenthesis is equal to zero:

  1. u+v−p=0,u + v - p = 0,
  2. u2+v2+p2+up+pv−uv=0.u^2 + v^2 + p^2 + up + pv - uv = 0.

30

The first equality is our original equation. This means that the entire construction of the solution is related to the second one and we need to find out when it is executed. Multiplying it by 2, you can write it like this:

(u+p)2+(v+p)2+(u−v)2=0.(u+p)^2+(v+p)^2+(u-v)^2=0.

This equality holds only for u=v=−pu=v=-p.

In application to our equation:

1−x3=1+x3=−p.\sqrt[3]{1-x}=\sqrt[3]{1+x}=-p.

This means that x=0x=0 for p=−1p=-1 is the only constructed root. All other roots given by formula (4) for 0<p⩽20<p\leqslant2 satisfy equation (1).

Let us write down again the identities that we have successfully established (for symmetrina we replace pp with −w-w):

u3+v3+w3−3uvw=(u+v+w)(u2+v2+w2−uw−vw−uv),u^3+v^3+w^3-3uvw=(u+v+w)(u^2+v^2+w^2-uw-vw-uv),

2(u2+v2+w2−uw−vw−uv)=2(u^2+v^2+w^2-uw-vw-uv)=

=(u−v)2+(v−w)2+(w−u)2.=(u-v)^2+(v-w)^2+(w-u)^2.

They are often useful in proving inequalities and in other problems.

M73

On a lottery ticket you need to mark 8 cells out of 64. What is the probability that after a drawing in which 8 cells out of 64 are also chosen (and we consider all such possibilities to be equally probable), it turns out that exactly 4 cells are guessed? 5 cells?…all 8 cells?

As is known, 8 cells out of 64 can be chosen in C648=64!8!56!C_{64}^8=\frac{64!}{8!56!} ways (n!n! is the product of all integers from 1 to nn inclusive) ∗^*). All these methods are equally reliable. Therefore, the probability of getting any one particular way is 1/C6481/C_{64}^8. Now we need to calculate what time the case turned out to be exactly kk cells (0⩽k⩽80\leqslant k\leqslant8). The number of such cases is equal to the number of methods

∗^*) See, for example, the article by N. Ya. Vilenkin “Combinatorics” in «Kvant» No. 1, 1971.

Fig. 6. Red cells are winners; The 8 cells we have selected are marked with a cross. On this figure k=2k=2, 8−k=68-k=6.

methods in which kk cells are selected from 8 marked and 8−k8-k cells from 56 unmarked. Therefore it is equal to C8k⋅C568−kC_{8}^k\cdot C_{56}^{8-k}. To find the desired time fkf_k - the probability of guessing exactly kk cells, you need to multiply the probability of one method by this number. We get

fk=C8k⋅C568−kC84.f_k=\frac{C_{8}^k\cdot C_{56}^{8-k}}{C_{8}^4}.

Thus, the probabilities of guessing 0,1, …, 8 cells are equal to the corresponding ones.

f0=C80⋅C568C84,f_0=\frac{C_{8}^0\cdot C_{56}^8}{C_{8}^4},

f1=C81⋅C567C84,…,f8=C88⋅C560C84.f_1=\frac{C_{8}^1\cdot C_{56}^7}{C_{8}^4}, \dots, f_8=\frac{C_{8}^8\cdot C_{56}^0}{C_{8}^4}.

The sum of these nine numbers is, of course, equal to one.

Formally, the problem is a solution, but from a practical point of view this is not yet the case. I would like to imagine how great the chances are of guessing a particular number of cells if we buy and fill, say, ten lottery tickets. To do this, you need to approximately represent these numbers in the form of decimal fractions. This can be done using a slide rule; for example, directly use formulas (1). This is what A. Zlomnik from the city of Zhukovsky did. We will describe another, as it seems to us, simpler method.

31

Fig. 7. Shown here are the numbers fkf_k – the probabilities of guessing kk cells (k=0,1,2,…,8k = 0, 1, 2, \dots, 8). At k≥4k \geq 4 the values ​​of fkf_k are very close to zero.

First, let’s calculate the ratio of the (k+1)(k+1)th of these numbers to the kkth one:

fk+1fk=C8k+1⋅C568−k−1C648:C8k⋅C568−kC648=(8−k)2(k+1)(48+k+1)\frac{f_{k+1}}{f_k} = \frac{C_8^{k+1} \cdot C_{56}^{8-k-1}}{C_{64}^8} : \frac{C_8^k \cdot C_{56}^{8-k}}{C_{64}^8} = \frac{(8-k)^2}{(k+1)(48+k+1)}

in part,

f1f0=6449≈1.31;f2f1=49100;\frac{f_1}{f_0} = \frac{64}{49} \approx 1.31; \quad \frac{f_2}{f_1} = \frac{49}{100};

f3f2=1251≈0.235;f4f3=25208≈0.12;\frac{f_3}{f_2} = \frac{12}{51} \approx 0.235; \quad \frac{f_4}{f_3} = \frac{25}{208} \approx 0.12;

f5f4≈0.06;…\frac{f_5}{f_4} \approx 0.06; \dots

By calculating the ratio of f2,f3,f4f_2, f_3, f_4 to f0f_0 with two decimal places:

f2f0=0.64;f3f0≈0.15;f4f0=0.02.\frac{f_2}{f_0} = 0.64; \quad \frac{f_3}{f_0} \approx 0.15; \quad \frac{f_4}{f_0} = 0.02.

It is clear that f5/f0<0.02⋅0.12f_5/f_0 < 0.02 \cdot 0.12 and, for the chosen degree, exactly f5,f6,f7,f8f_5, f_6, f_7, f_8 are equal to zero. We can make an equation

f0(1+1,31+0,64+0,15+0,02)=1,f_0(1+1,31+0,64+0,15+0,02)=1,

whence f0≈0.32f_0 \approx 0.32. Now finding f1,f2,f3,f4f_1, f_2, f_3, f_4:

f1≈f0⋅1.31≈0.42;f2≈f0⋅0.64≈0.20;f_1 \approx f_0 \cdot 1.31 \approx 0.42; \quad f_2 \approx f_0 \cdot 0.64 \approx 0.20;

f3≈f2⋅0.24≈0.047;f4≈f3⋅0.12≈0.0056.f_3 \approx f_2 \cdot 0.24 \approx 0.047; \quad f_4 \approx f_3 \cdot 0.12 \approx 0.0056.

Thus, if you fill out ten tickets, then the average ones will most likely all be those on which 0, 1, 2 and, perhaps, 3 cells are guessed; The probability of guessing 4 or more cells is very low. By multiplying f4f_4 by f5f4≈0.06\frac{f_5}{f_4} \approx 0.06 and so on, approximations of f5,f6,f7,f8f_5, f_6, f_7, f_8 can be obtained. In part, f8≈2⋅10−10f_8 \approx 2 \cdot 10^{-10}. This means that in order to have a real chance of guessing all 8 cells, you need to fill out several tens of billions of tickets.

Using the approximate calculation method that we applied, it can be shown that if the number of NN cells on a lottery ticket is much greater than the number of mm cells that need to be eliminated, and mm is sufficiently large, then the probability of guessing kk cells of the approximate is equal to

fk=CmkCN−mmCNm≈μk⋅e−μk!,f_k = \frac{C_m^k C_{N-m}^m}{C_N^m} \approx \frac{\mu^k \cdot e^{-\mu}}{k!},

where μ=m2N−2m\mu = \frac{m^2}{N-2m} and e≈2.718…e \approx 2.718\dots is a constant number (π\pi), so we need to use the fact that 1+x+x22+x33!+⋯=ex1+x+\frac{x^2}{2}+\frac{x^3}{3!}+\dots = e^x for any xx).

A. L. Toom

In this issue we publish solutions to problems F79—F82

F79

The level of water entering the boat coincides with the water level in the lake. Where will the water level be higher if you throw a log into the boat?

When lowering a log into a boat, the boat will plunge into the lake, you will receive an additional volume of water ΔV=mρ\Delta V = \frac{m}{\rho} (mm is the mass of the log, ρ\rho is the density of water). On the other hand, since the log floats in water, the water level in the boat should change in the same way as it would change if water with a mass equal to the mass of the log and a volume equal to the volume of the immersed part of the log, that is, V=mρV = \frac{m}{\rho}, was added to the boat. (We can mentally remove the log and fill the resulting water with water, but the water level in the boat will not change.) The same volume of water additionally flows out from the boat when the log is thrown into it. Therefore, the water level in the boat will be the same as the water level in the boat.

32

low water in the lake if the thickness of the walls of the boat is negligible, and will be slightly higher than the water level in the lake if the walls are thick.

The correct solution was sent by R. Khasnumdinov (Oktyabrsky BASSR village), A. Zisman (Pskov), I. Vidorovich (Simferopol), O. Masliok (Novomirgorod, Kirovograd region), V. Rudko (Kyiv), A. Smarchenko (Petropavlovsk village, Dnepropetrovsk region), A. Demidov (Moscow), L. Bratsensky (Frunze), F. Tukhvatullin (Tashkent), N. Shishkin (Nalchik), N. Filippov (Leningrad), N. Sidorov (Moscow).

I. Sh. Slobodetsky

F80

A die is thrown along an inclined plane at an angle β to the direction of descent (Fig. 8). Find the steady speed of motion of the cube if its friction coefficient o plane k = tanα, where α is the angle of inclination of the plane k to the horizon.

The cube is acted upon by the force of gravity P = mg, the normal reaction force N = mg cosα and the friction force F_tp (Fig. 8).

Let us consider the components of the force along the plane. Down to the side

Fig. 8.

the fastest descent (y-axis) is affected by the gravity component F = mg sinα; in the direction opposite to the speed, the friction force F_tp = kN = kmg cosα acts. By condition, k = tanα, therefore F_tp = tanα kmg cosα = mg sinα = F.

Thus, the problem comes down to considering the movement of a cube under the influence of two forces of equal magnitude. One of them is always directed against the speed of the cube, the other along the y axis.

Fig. 9.

Let at some moment the speed v make an angle φ (Fig. 9) with the y axis. The tangential (direction tangent to the trajectory) acceleration a of the cube is determined by the force F_tp = F and the projection F cosφ of the force F to the same direction:

a=F+Fcos⁡φm.a = \frac{F + F \cos \varphi}{m}.

Acceleration a_y (along the y axis) is determined by the force F and the projection F_tp cosφ of the force F_tp onto the y axis. It is easy to see that the magnitude of this acceleration is equal to the tangential one:

ay=F+Ftpcos⁡φm=F+Fcos⁡φm=a.a_y = \frac{F + F_tp \cos \varphi}{m} = \frac{F + F \cos \varphi}{m} = a.

Thus, the rate of change in the magnitude of the plane velocity a = \frac{\Delta v}{\Delta t} and the rate of change in the magnitude of the force component along the y axis a_y = \frac{\Delta v_y}{\Delta t} are the same. But if the rate of change in time of two quantities is the same, then these quantities themselves differ only by a constant that does not depend on time. Let us denote this constant by V. Then at any time v = v_y + V.

You can find the constant V by substituting the values ​​v and v_y into this formula

33

at the initial moment of movement of the cube (v=v0v=v_0, vy=v0cos⁡βv_y=v_0 \cos \beta):

v0=v0cos⁡β+V.v_0 = v_0 \cos \beta + V.

From here

V=v0(1−cos⁡β).V = v_0 (1 - \cos \beta).

Hence,

v=vy+v0(1−cos⁡β),v = v_y + v_0 (1 - \cos \beta),

Where

vy=vcos⁡φ.v_y = v \cos \varphi.

After a sufficiently long time, the “transverse” component of the cube’s speed will decrease to zero. The cube will move down along the yy axis. In this limiting state φ=π\varphi = \pi, that is cos⁡φ=−1\cos \varphi = -1; vy=−vv_y = -v.

For steady speed vv we can write the equation

v=−v+v0(1−cos⁡β).v = -v + v_0 (1 - \cos \beta).

From here

v=v01−cos⁡β2=v0sin⁡2β2.v = v_0 \frac{1 - \cos \beta}{2} = v_0 \sin^2 \frac{\beta}{2}.

Knowing that a=aya=a_y, the problem can also be solved graphically. Indeed, if the change Δv\Delta v of the total speed is equal to the change Δvy\Delta v_y, then it is easy to find the values

v=v01−cos⁡β2=v0sin⁡2β2.v = v_0 \frac{1 - \cos \beta}{2} = v_0 \sin^2 \frac{\beta}{2}.

Knowing that a=aya=a_y, the problem can also be solved graphically. Indeed, if the change Δv\Delta v of the total speed is equal to the change Δvy\Delta v_y, then it is easy to find the values

v=v01−cos⁡β2=v0sin⁡2β2.v = v_0 \frac{1 - \cos \beta}{2} = v_0 \sin^2 \frac{\beta}{2}.

Let after time Δt\Delta t the component vyv_y of the speed of the cube changes to Δvy\Delta v_y, and the total speed - to Δv=Δvy\Delta v = \Delta v_y. Consequently, after time Δt\Delta t the vector v0v_0 will be Δv\Delta v shorter, and the value of its projection onto the yy axis changes by the same amount.

Through the point BB, which lies below the point AA (the end of the vector v0v_0) to the segment Δvy=Δv\Delta v_y = \Delta v, we draw a horizontal line BCBC. With a radius ABAB equal to Δvy=Δv\Delta v_y = \Delta v, draw arcs BDBD from the point AA as from the center. The point DD will mark the length of the new vector v=v0−Δvv = v_0 - \Delta v. With a radius ODOD equal to v=v0−Δvv = v_0 - \Delta v, draw an arc DCDC from the point OO as from the center. The point CC of intersection of the arcs with the line BCBC is the end of the desired vector OCOC, equal to vv.

This construction can be done for any time intervals Δt\Delta t. It shows that the velocity vector vv of the cube accelerates and approaches the axis yy (Fig. 11). From the drawing it is clear that in the limiting case

v+v0cos⁡β=v0−v.v + v_0 \cos \beta = v_0 - v.

From here

v=v0(1−cos⁡β)2=v0sin⁡2β2.v = \frac{v_0 (1 - \cos \beta)}{2} = v_0 \sin^2 \frac{\beta}{2}.

The correct solution was sent by P. Belyakov (Moscow).

B. B. Bukhovtsev

34

F81

Currently, solenoids with superconducting windings are used. Such solenoids can create a magnetic field for a long time without consuming energy. However, if any section of the winding loses its superconducting properties, an accident will occur. In this area, more colic tella will be released and an explosion will occur.

Come up with the simplest device to prevent such accidents.

Schemes with relays are not suitable - their comparison time is too long. An explosion will occur before the relay trips. Therefore, the only way out is to short-circuit the solenode to resistance. This is how they usually do it. The wire for the solenoid is made reinforced with copper. If superconductivity is lost, the armature will serve as a buffer through which current appears, and the body release will be distributed throughout the circuit.

The correct solution was sent by S. Chernikov (Semipalatinsk). N. Efimov (Voronezh), V. Skvortsov (Leningrad).

F82

Find the conditions under which no current will flow through the resistance rr connected at points AA and BB of the circuit shown in figure 12.

So it will not go through resistance rr if the potential difference between points AA and BB is zero. Let us take the potential of point FF to be zero. then the potential of point CC is equal to E1E_1, and the potential of point DD is equal to E2E_2. Current I=E1r1+r3I = \frac{E_1}{r_1 + r_3} flows through resistance r1r_1,

Fig. 12.

and therefore the voltage drop across resistance r1r_1 is equal to U1=Ir1=E1r1r1+r3U_1 = Ir_1 = E_1 \frac{r_1}{r_1 + r_3}, and the potential of point AA is equal

φA=E1−E1r1r1+r3=E1r3r1+r3.\varphi_A = E_1 - E_1 \frac{r_1}{r_1 + r_3} = E_1 \frac{r_3}{r_1 + r_3}.

Similarly, we find the potential of point BB:

φB=E2r4r2+r4.\varphi_B = E_2 \frac{r_4}{r_2 + r_4}.

From condition φA=φB\varphi_A = \varphi_B we obtain

E1r3r3+r1=E2r4r2+r4.E_1 \frac{r_3}{r_3 + r_1} = E_2 \frac{r_4}{r_2 + r_4}.

This is the general condition for the absence of a point through resistance rr. It also includes the very symmetrical case r1=r2r_1 = r_2, r3=r1r_3 = r_1 and E1=E2E_1 = E_2.

I. Sh. Slobodetsky