4.01c - Bounds in calculations

4.01c - Bounds in calculations

Rounded inputs create a range of possible answers. You will choose endpoints for sums, differences, products and quotients, then distinguish the largest possible count from an excluded limit for a continuous measurement.

Choosing endpoints for calculations

If a tank holds “300300 litres”, is its greatest possible volume the same kind of answer as the greatest possible number in “300300 tickets”? First learn how input intervals control a calculation; later we will return to that difference.

For positive lengths xx and yy, increasing either one increases x+yx+y and xyxy. For x−yx-y, increasing yy decreases the result. Think about the operation before choosing endpoints.

Lower and upper bounds

A lower bound is a value the quantity cannot go below; an upper bound is a value it cannot go above. In accuracy questions, we find the tight limiting values from the stated input intervals. A limiting bound need not be an attainable answer.

Write the input endpoints as xL,xU,yL,yUx_L,x_U,y_L,y_U. The endpoint choices are:

CalculationLower limiting valueUpper limiting value
x+yx+yxL+yLx_L+y_LxU+yUx_U+y_U
x−yx-yxL−yUx_L-y_UxU−yLx_U-y_L
xyxy, for non-negative inputsxLyLx_Ly_LxUyUx_Uy_U

The product row needs its sign condition: multiplying negative values can change which endpoint choices work. In this lesson the product and quotient measurements are positive. Also assume the inputs can vary independently; a stated connection between them could restrict possible combinations.

Worked example 1: three operations, three endpoint choices

Question. x=8x=8 and y=3y=3, each correct to the nearest whole number. Find the lower and upper bounds of x+yx+y, x−yx-y and xyxy.

Plan. Write both intervals, then choose endpoints separately for each operation.

7.5≤x<8.5,2.5≤y<3.5.7.5\le x<8.5,\qquad2.5\le y<3.5. (x+y)L=7.5+2.5=10both small(x+y)U=8.5+3.5=12both large(x−y)L=7.5−3.5=4small minus large(x−y)U=8.5−2.5=6large minus small(xy)L=7.5×2.5=18.75both small and positive(xy)U=8.5×3.5=29.75both large and positive\begin{aligned} (x+y)_L&=7.5+2.5=10 &&\text{both small}\\ (x+y)_U&=8.5+3.5=12 &&\text{both large}\\ (x-y)_L&=7.5-3.5=4 &&\text{small minus large}\\ (x-y)_U&=8.5-2.5=6 &&\text{large minus small}\\ (xy)_L&=7.5\times2.5=18.75 &&\text{both small and positive}\\ (xy)_U&=8.5\times3.5=29.75 &&\text{both large and positive} \end{aligned}

Answer. The intervals are 10≤x+y<1210\le x+y<12, 4<x−y<64<x-y<6 and 18.75≤xy<29.7518.75\le xy<29.75.

Check. The central values give 1111, 55 and 2424, all inside the intervals. The difference cannot reach 44, because that would require the excluded value y=3.5y=3.5.

Now change only the accuracy of yy. The central calculations are unchanged, while each output interval becomes narrower.

Worked example 2: one input measured more precisely

Question. x=8x=8 to the nearest whole number and y=3.0y=3.0 to one decimal place. Find the same three pairs of bounds.

Plan. Keep the interval for xx, replace the interval for yy, and use the same endpoint choices.

7.5≤x<8.5,2.95≤y<3.05.7.5\le x<8.5,\qquad2.95\le y<3.05. (x+y)L=7.5+2.95=10.45(x+y)U=8.5+3.05=11.55(x−y)L=7.5−3.05=4.45(x−y)U=8.5−2.95=5.55(xy)L=7.5×2.95=22.125(xy)U=8.5×3.05=25.925\begin{aligned} (x+y)_L&=7.5+2.95=10.45\\ (x+y)_U&=8.5+3.05=11.55\\ (x-y)_L&=7.5-3.05=4.45\\ (x-y)_U&=8.5-2.95=5.55\\ (xy)_L&=7.5\times2.95=22.125\\ (xy)_U&=8.5\times3.05=25.925 \end{aligned}

Answer. 10.45≤x+y<11.5510.45\le x+y<11.55, 4.45<x−y<5.554.45<x-y<5.55 and 22.125≤xy<25.92522.125\le xy<25.925.

Check. Each new interval lies within its earlier interval. Better information about one input has reduced the uncertainty without changing the central values.

The endpoint arithmetic finds limiting values; the input inclusion signs tell you whether those values can be reached.

Watch out

For a lower bound of x−yx-y, “use both lower bounds” is wrong. Subtract the largest possible yy from the smallest possible xx.

Choose both endpoints appropriate to a positive product.

Bounds for quotients

For positive inputs, a quotient increases when its numerator increases, but decreases when its denominator increases.

For example, 12÷3=412\div3=4, while 12÷4=312\div4=3. A larger divisor makes each share smaller. Therefore the largest numerator and smallest positive denominator give the upper bound.

Positive quotient bounds

For independent intervals with 0<xL≤x<xU0<x_L\le x<x_U and 0<yL≤y<yU0<y_L\le y<y_U,

(xy)L=xLyU,(xy)U=xUyL.\left(\frac{x}{y}\right)_L=\frac{x_L}{y_U},\qquad \left(\frac{x}{y}\right)_U=\frac{x_U}{y_L}.

These are limiting bounds. Check endpoint inclusion separately. A denominator interval reaching zero needs separate analysis; do not substitute zero into a division.

Not in the 2027 formula sheet: learn the endpoint reasoning.

You can use the same rule for a rate if its formula is supplied. Here the questions define v=d/tv=d/t; the distance and time are positive.

Worked example 3: a rate from two rounded inputs

Question. d=120d=120 to the nearest whole number and t=8t=8 to the nearest whole number. Find the bounds of v=d/tv=d/t.

Plan. Divide the smallest distance by the largest time for the lower bound, and reverse the choices for the upper bound.

119.5≤d<120.5,7.5≤t<8.5.119.5\le d<120.5,\qquad7.5\le t<8.5. vL=119.58.5=23917small divided by largevU=120.57.5=24115large divided by small\begin{aligned} v_L&=\frac{119.5}{8.5}=\frac{239}{17} &&\text{small divided by large}\\ v_U&=\frac{120.5}{7.5}=\frac{241}{15} &&\text{large divided by small} \end{aligned}

Answer. The lower bound is 239/17≈14.0588239/17\approx14.0588; the upper bound is 241/15≈16.0667241/15\approx16.0667. Exactly, 23917<v<24115\frac{239}{17}<v<\frac{241}{15}.

Check. The central calculation is 120÷8=15120\div8=15, between the bounds. Neither endpoint is reached: each calculation uses an excluded upper input endpoint.

Change only the accuracy of the time. Keep full values until the end of the calculation.

Worked example 4: a more precise denominator

Question. d=120d=120 to the nearest whole number and t=8.0t=8.0 to one decimal place. Find the bounds of v=d/tv=d/t.

Plan. Keep the distance interval and use the narrower time interval.

119.5≤d<120.5,7.95≤t<8.05.119.5\le d<120.5,\qquad7.95\le t<8.05. vL=119.58.05=2390161small numerator, large denominatorvU=120.57.95=2410159large numerator, small denominator\begin{aligned} v_L&=\frac{119.5}{8.05}=\frac{2390}{161} &&\text{small numerator, large denominator}\\ v_U&=\frac{120.5}{7.95}=\frac{2410}{159} &&\text{large numerator, small denominator} \end{aligned}

Answer. The bounds are 2390/161≈14.84472390/161\approx14.8447 and 2410/159≈15.15722410/159\approx15.1572, with both limiting endpoints excluded.

Check. These are closer to 1515 than the previous bounds, as expected from the more precise time. Multiplying 2390/1612390/161 by 8.058.05 reconstructs 119.5119.5.

A rounded decimal for a bound is a reported approximation to the limiting value. Keep the exact quotient when writing an exact inequality; an inward-rounded endpoint could exclude possible answers.

Watch out

The upper bound of d/td/t is not dU/tUd_U/t_U. A large denominator would reduce the quotient. Use dU/tLd_U/t_L when both inputs are positive.

Use opposite endpoint choices for numerator and denominator.

Discrete counts and continuous measurements

A whole-number count has a largest permitted integer below an excluded endpoint; a continuous measurement need not have a largest permitted value.

Discrete and continuous quantities

A discrete count, such as the number of tickets sold, takes whole-number values. A continuous quantity, such as a volume, can take values between the whole numbers. Reported precision limits what we know; it does not make a continuous quantity discrete.

For 250≤n<350250\le n<350, an integer count has greatest value 349349. But for 250≤V<350250\le V<350, a continuous volume can be 349.9349.9, 349.99349.99, or closer still to 350350. None is greatest: any value below 350350 can be increased slightly while staying below it.

[DIAGRAM: asset_name: Discrete and continuous upper limits; asset_slug: discrete-continuous-bounds; caption: The last whole-number count is 349, while a continuous measurement can approach 350 without reaching it.; description: A close-up near the upper endpoint of the interval from 250 inclusive to 350 exclusive. The upper panel shows separate integer dots ending at 349, with an open marker at 350. The lower panel shows a solid continuous strip approaching an open endpoint at 350, with sample labels 349.5 and 349.9.]
The last whole-number count is 349, while a continuous measurement can approach 350 without reaching it.

Worked example 5: the largest possible count

Question. Ticket sales are reported as 300300, correct to the nearest hundred. Write the error interval and state the greatest possible number sold.

Plan. Find the rounding interval, then restrict it to integer values.

half-step=100÷2=50250≤n<350rounding interval250≤n≤349equivalent for integer n\begin{aligned} \text{half-step}&=100\div2=50\\ 250&\le n<350 &&\text{rounding interval}\\ 250&\le n\le349 &&\text{equivalent for integer }n \end{aligned}

Answer. Both intervals describe the count; the greatest possible number is 349349.

Check. 349349 rounds to 300300 to the nearest hundred; 350350 rounds to 400400. There is no integer between 349349 and 350350.

Now change only the kind of quantity: the displayed number and rounding step stay the same.

Worked example 6: a limit with no greatest value

Question. A tank's volume is 300300 litres, correct to the nearest hundred litres. Give its error interval and explain whether 349349 litres is the greatest possible volume.

Plan. Use the same rounding endpoints, but allow continuous values.

250≤V<350volume interval in litres349<349.5<350a permitted larger volume349.5<349.9<350and a larger one still\begin{aligned} 250&\le V<350 &&\text{volume interval in litres}\\ 349&<349.5<350 &&\text{a permitted larger volume}\\ 349.5&<349.9<350 &&\text{and a larger one still} \end{aligned}

Answer. 250≤V<350250\le V<350. The upper bound is 350350 litres, but it is excluded. There is no greatest possible volume in this interval; 349349 litres is not the greatest.

Check. 349.5349.5 litres rounds to 300300 to the nearest hundred litres and is larger than 349349 litres. It is a direct counterexample to that proposed maximum.

We can now answer the opening question. The greatest possible count of tickets is 349349; the continuous volume has upper bound 350350 litres and no attained greatest value. The rounding interval is the same, but the permitted values within it differ.

Key idea

Use 250≤n<350250\le n<350 or 250≤n≤349250\le n\le349 for the integer count. Replacing <350<350 by ≤349\le349 for a continuous measurement wrongly discards values such as 349.8349.8.

Identify the kind of quantity before interpreting the last permitted value.

Quick Recap

  • For positive products, use both lower or both upper endpoints.
  • For differences and positive quotients, the endpoints play opposite roles.
  • Check whether limiting values can actually be attained.
  • An integer count can have a largest value below an excluded upper endpoint; a continuous interval of this form does not.

“300300 tickets” can mean at most 349349 tickets; “300300 litres” to the same precision can include 349.9349.9 litres.