Number of Injective Functions are Possible

Duration: 4 min

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Module outline

  1. Discrete Mathematics: Permutation, Combination and Probability / क्रमचय, संचय एवं प्रायिकता, Set Theory, Relations, Functions, Propositional and Predicate Logic, Graph Theory, Group Theory
  2. Digital Logic: Digital Systems & Boolean Basics, Boolean Expression, Boolean Minimization, Logic Gates & Hardware, Combinational Circuit, Sequential Circuits, Number System, Number Representation, Floating Point Rep
  3. Computer Organization and Architecture: Basics of COA, Programming the Basic Computer, Cache Memory Organization, Input Output Organisation, Instr Formats & Modes, Register Transfer and Microoperations, Control Unit Design, Pipelining, Multiprocessors
  4. Programming: Language Design, C Fundamentals, Control Flow, Functions, Arrays & Pointers, Storage Classes, Structures & Enums, DMA, Macros, Scoping & File Handling, OOPS with C++
  5. Data Structures: Introduction to DS, Array, Linked List, Stack, Queue, Tree, Graphs, Hashing
  6. Algorithms: Algorithm Analysis, Time Complexity Analysis, Sorting Algorithms, Greedy Algorithms, Dynamic Programming, Minimum Spanning Trees, Shortest Path Algos, Advanced Algorithms
  7. Theory of Computation: Grammar, Regular Language Properties, Moore & Mealy Machines, Turing Machines
  8. Compiler Design: Intro to Compilers, Lexical Analysis, Grammar & CFG, Syntax Analysis: Top-Down, Syntax Analysis: Bottom-Up, Semantic Analysis & SDT, Intermediate Code Gen, Code Optimization, Run Time Environment, Introduction to TOC, Deterministic FA (DFA), Non-Deterministic FA, Regular Expressions, Pushdown Automata & CFG, Complexity Theory
  9. Operating Systems: Introduction to OS, Process Management, CPU Scheduling, Process Synchronization, Threads & Process Creation, Deadlock, Memory Management, Virtual Memory, Disc Scheduling, File Management, Unix OS, Linux OS, Security
  10. Database Management Systems: Basics of DBMS, ER Diagram, Relational Model & Functional Dependencies, Keys & Integrity Constraints, Normalization (1NF - BCNF), Decomposition Properties & 4NF, File Organization & Indexing, Relational Algebra, SQL, Relational Calculus, Transaction Management, Concurrency Control, ORDBMS, NoSQL
  11. Computer Networks: Introduction to CN, Data Communication, DLL: Access Control, DLL: Flow Control, DLL: Error Control, DLL: Framing, Data Link Layer - Ethernet, Net Layer: IPv4 & Proto, Net Layer: IP Addressing, Net Layer:Routing Protocol, Transport Layer Services, TL: Congestion & UDP, Application Layer, Hardware basics, Network Security
AI summary & chapters

AI Summary

An AI-generated summary of this video lecture.

This educational video segment explains the mathematical principles for determining the number of possible functions between two sets, specifically focusing on one-to-one mappings. The instructor begins by presenting the standard permutation formula, $^nP_m = P(n, m)$, as the general method for counting these functions. He highlights a specific scenario where the cardinality of both sets is equal ($|A| = |B| = n$), resulting in $n!$ possible functions. To illustrate the general case, he introduces variables $m$ and $n$ for the sizes of sets A and B respectively. He then constructs a visual example on the whiteboard, defining set A with five distinct elements (1, 2, 3, 4, 5) and set B with six distinct elements (a, b, c, d, e, f). He demonstrates the concept of a function by drawing arrows from elements in set A to elements in set B, showing how each element in the domain must map to exactly one element in the codomain.

Chapters

  1. 0:00 – 2:00 00:00-02:00

    The instructor starts by writing the formula for the number of possible functions as $^nP_m = P(n, m)$. He immediately follows this with a special case: if the size of set A equals the size of set B ($|A| = |B| = n$), then the number of functions possible is $n!$. He then begins a practical demonstration by writing $|A| = m$ and $|B| = n$. He draws two vertical ovals representing the sets. Inside the first oval, labeled A, he lists the numbers 1 through 5. Inside the second oval, labeled B, he lists the letters a through f. He draws arrows originating from the elements of set A pointing towards set B to visualize the mapping process. Below the diagram, he writes out the multiplication sequence $6 imes 5 imes 4 imes 3 imes 2$, representing the number of choices available for mapping each element of A to B.

  2. 2:00 – 3:47 02:00-03:47

    Continuing the example, the instructor writes the formal permutation formula $^nP_m = rac{n!}{(n-m)!}$ on the board. He substitutes the specific values from his example, writing $^6P_5 = rac{6!}{(6-5)!}$. He simplifies the denominator to $1!$ and then to $1$, leaving the result as $6!$. He expands $6!$ into its full product form: $6 imes 5 imes 4 imes 3 imes 2 imes 1$. This confirms the manual calculation he performed earlier in the diagram section. He concludes the segment by summarizing the relationship between the set sizes, writing $|A| = m ightarrow |B| = n$ to reinforce the variables used in the permutation formula for one-to-one functions.

The lecture effectively bridges the gap between abstract formulas and concrete counting methods. By starting with the general permutation formula and then applying it to a specific numerical example, the instructor clarifies how to calculate the number of one-to-one functions. The visual aid of drawing sets and arrows helps students understand the underlying logic of the multiplication principle used in the formula. The final expansion of the factorial confirms the consistency between the algebraic formula and the step-by-step counting method.

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