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Past exam of the year 1 of the computer science course of the University of Oxford 2016 Discrete mathematics, continuous mathematics and probability 6 b i Solution by
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Past exam of the year 1 of the computer science course of the University of Oxford 2016 Discrete mathematics, continuous mathematics and probability 5 a ii Solution by
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Past exam of the year 1 of the computer science course of the University of Oxford 2016 Discrete mathematics, continuous mathematics and probability 5 a i Solution by
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Past exam of the year 1 of the computer science course of the University of Oxford 2016 Discrete mathematics, continuous mathematics and probability 3 f ii Solution by
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We prove the stronger explicit bound by mathematical induction. The case is equality. The binomial theorem gives , so . Consequently the induction hypothesis yieldsTherefore , with constant and threshold .
The second bound is asymptotically tighter. Using ,Thus its bounding function is negligible relative to the first in little o notation; this compares the bounds without needing Stirling's formula.
Past exam of the year 1 of the computer science course of the University of Oxford 2016 Discrete mathematics, continuous mathematics and probability 3 f i Solution by
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Prove the explicit bound by mathematical induction. At , . For the step, note that for : this auxiliary inequality has base and follows at the next index from . Hence, using the induction hypothesis,Thus , with constant and threshold in big O notation.
Past exam of the year 1 of the computer science course of the University of Oxford 2016 Discrete mathematics, continuous mathematics and probability 3 e iv Solution by
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For each fixed positive integer , part (i) gives . This meets big O notation with constant and threshold . True: for fixed . The constant may depend on ; no claim uniform in a varying is required.
Past exam of the year 1 of the computer science course of the University of Oxford 2016 Discrete mathematics, continuous mathematics and probability 3 e iii Solution by
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Take , so but . The ratio is unbounded, precluding any eventual constant upper bound in big O notation. False: in general . This is a counterexample involving function composition, not pointwise addition.
Past exam of the year 1 of the computer science course of the University of Oxford 2016 Discrete mathematics, continuous mathematics and probability 3 e ii Solution by
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Positivity gives . Thus for every positive , meeting big O notation with constant and threshold . True: .
Past exam of the year 1 of the computer science course of the University of Oxford 2016 Discrete mathematics, continuous mathematics and probability 3 e i Solution by
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Since , both and . Therefore for every positive . The definition of big O notation is satisfied with constant and threshold . True: .
Past exam of the year 1 of the computer science course of the University of Oxford 2016 Discrete mathematics, continuous mathematics and probability 2 c ii Solution by
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Suppose is the greatest lower bound of the set of all upper bounds of . Every satisfies for every , so each such is a lower bound of . Since is the greatest of those lower bounds, for every . Thus itself is an upper bound of , meaning .
Also , being a lower bound of , satisfies for every . It is therefore an upper bound of below every other upper bound, which proves . The argument also covers empty or whenever the assumed greatest lower bound exists.
Past exam of the year 1 of the computer science course of the University of Oxford 2016 Discrete mathematics, continuous mathematics and probability 2 c i Solution by
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In the partially ordered set , the assertion means bothThe first condition makes an upper bound; the second makes it the least upper bound. Both conditions are necessary, and antisymmetry makes such an element unique.
Past exam of the year 1 of the computer science course of the University of Oxford 2016 Discrete mathematics, continuous mathematics and probability 2 b iii Solution by
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The relation powers are , , and for . For , but , so transitivity fails. For , but , so it still fails.
For , consists of every pair in which the first endpoint precedes the second in . Composing any two such pairs again gives such a pair, so is transitive. Thus the smallest is ; this is the transitive closure of a relation .
Past exam of the year 1 of the computer science course of the University of Oxford 2016 Discrete mathematics, continuous mathematics and probability 2 b ii Solution by
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Past exam of the year 1 of the computer science course of the University of Oxford 2016 Discrete mathematics, continuous mathematics and probability 2 b i Solution by
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Using the wiki convention that paths follow the written order of the binary relations, composition of relations isSome treatments reverse the naming convention; stating it explicitly avoids ambiguity. The powers of the single relation below are the same under either convention.
Past exam of the year 1 of the computer science course of the University of Oxford 2016 Discrete mathematics, continuous mathematics and probability 1 e iv Solution by
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Choose the image of a function as a -element subset of , then choose a surjection onto that selected image as in (iii). ThereforeThe answer is zero when . If , it is one for and zero for , as the Stirling numbers of the second kind conventions require.
Past exam of the year 1 of the computer science course of the University of Oxford 2016 Discrete mathematics, continuous mathematics and probability 1 e iii Solution by
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For a surjection, the nonempty fibres form a partition of a set into exactly blocks. Choose these unlabelled blocks in ways, then assign the distinct elements of to them in ways. ConsequentlyIt is zero when . With and for , the same formula also handles an empty set codomain.
Past exam of the year 1 of the computer science course of the University of Oxford 2016 Discrete mathematics, continuous mathematics and probability 1 e ii Solution by
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A bijection between finite sets requires equal cardinality. When , list the elements of and choose their distinct images in ways. ThusThe factorial convention includes the unique bijection from the empty set to itself.
Past exam of the year 1 of the computer science course of the University of Oxford 2016 Discrete mathematics, continuous mathematics and probability 1 d ii Solution by
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Starting from singleton blocks, a partition of a set into nonempty blocks has exactly one block of size two and all other blocks of size one: the sum of the block sizes exceeds the number of blocks by exactly one. Choosing that pair determines the partition uniquely. HenceThis fixed value of works for every . It is forced already by : , whereas for positive the only equal to one is .
Past exam of the year 1 of the computer science course of the University of Oxford 2016 Discrete mathematics, continuous mathematics and probability 1 d i Solution by
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Fix one distinguished element of the -element set. Every partition of a set into blocks belongs to exactly one of two cases. If is a block, removing it leaves an -block partition of a set of the other elements, giving possibilities. Otherwise remove from its block; that block remains nonempty, so the result has blocks. Conversely choose any of the such partitions and insert in any one of its blocks. This gives possibilities.
These cases are disjoint and exhaustive, proving the Stirling numbers of the second kind recurrenceUse , for , and for ; these conventions include the boundary cases and .
Pinned article: Introduction to the OurBigBook Project
Welcome to the OurBigBook Project! Our goal is to create the perfect publishing platform for STEM subjects, and get university-level students to write the best free STEM tutorials ever.
Everyone is welcome to create an account and play with the site: ourbigbook.com/go/register. We belive that students themselves can write amazing tutorials, but teachers are welcome too. You can write about anything you want, it doesn't have to be STEM or even educational. Silly test content is very welcome and you won't be penalized in any way. Just keep it legal!
Intro to OurBigBook
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This feature makes it possible for readers to find better explanations of any topic created by other writers. And it allows writers to create an explanation in a place that readers might actually find it.Figure 1. Screenshot of the "Derivative" topic page. View it live at: ourbigbook.com/go/topic/derivativeVideo 2. OurBigBook Web topics demo. Source. - local editing: you can store all your personal knowledge base content locally in a plaintext markup format that can be edited locally and published either:This way you can be sure that even if OurBigBook.com were to go down one day (which we have no plans to do as it is quite cheap to host!), your content will still be perfectly readable as a static site.
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Figure 2. You can publish local OurBigBook lightweight markup files to either OurBigBook.com or as a static website.Figure 3. Visual Studio Code extension installation.Figure 5. . You can also edit articles on the Web editor without installing anything locally. Video 3. Edit locally and publish demo. Source. This shows editing OurBigBook Markup and publishing it using the Visual Studio Code extension. - Infinitely deep tables of contents:
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