Demo: Properties of Logarithms - Part 1
Duration: 16 min
This video lesson is available to enrolled students.
Inside: a video lesson and guided study material.
Module outline
- Database Management System: 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
- Discrete Mathematics: Set Theory, Relations, Functions, Graph Theory, Group Theory, Propositional and Predicate Logic
- Digital Electronics: Digital Systems & Boolean Basics, Logic Gates & Hardware, Boolean Expression, Boolean Minimization, Combinational Circuit, Sequential Circuits, Number System, Number Representation
- Computer Architecture: Basics of COA, Floating Point Rep, Cache Memory Organization, Input Output Organisation, Pipelining, Instr Formats & Modes, Control Unit Design
- Operating System: Introduction to OS, Process Management, CPU Scheduling, Process Synchronization, Deadlock, Virtual Memory, Disc Scheduling, File Management, Memory Management, Threads & Process Creation
- Computer Networks: Introduction to CN, 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, Network Security, Hardware Basics
- Data Structures: Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing
- Algorithms: Algorithm Analysis, Sorting Algorithms, Greedy Algorithms, Dynamic Programming, Minimum Spanning Trees, Shortest Path Algos, Time Complexity Analysis
- Theory Of Computation: Introduction to TOC, Deterministic FA (DFA), Non-Deterministic FA, Regular Expressions, Grammar, Regular Language Properties, Moore & Mealy Machines, Pushdown Automata & CFG, Turing Machines, Complexity Theory
- 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
- C language: C Fundamentals, Control Flow, Functions, Arrays & Pointers, Storage Classes, Structures & Enums
- Software Engineering: Fundamentals of Software Engineering, Software Requirements and Quality Assurance, Software Design, Estimation and Metrics, Software Testing, Software Maintenance and Configuration Management
- Emerging Trends & AI: Emerging Tech Trends, Artificial Intelligence, Cloud Computing
- Computer Graphics: Basics of Computer Graphics, 2-D Geometrical Transforms and Viewing
- Aptitude: Percentage, Ratio and Proportion (Ratios), Logarithm, HCF LCM, Divisibility Rules, Average, Sequence and Series (Series), Number System, Powers and Exponents (Surds and Indices), Algebra, Permutation and Combination, Probability, Profit and Loss, Simple Interest and Compound Interest, Time and Work, Pipe and Cistern, Speed Time and Distance, Mixture and Alligation, Mensuration and Geometry, Mental Ability, Age Problems, Partnership, Statistics, Data Interpretation, Arithmetic, Speed Mathematics and Basic Mathematics, TCS NQT Advanced Quantitative Ability, Gamified / Game Based Aptitude, Linear Algebra, Trigonometry
- Reasoning: Non Verbal Reasoning (Spatial Aptitude) (Spatial Reasoning) (Visual Reasoning), Series (Number and Letter Series) (Numerical Relations and Reasoning), Coding Decoding, Data Sufficiency, Syllogisms, Deductive and Inductive Reasoning (Logical Deduction and Induction) (Prepositional Reasoning), Seating Arrangements, Blood Relations, Directions (Direction Test), Analytical Reasoning (Counting Figures Reasoning), Puzzle Solving (Puzzles), Calendar, Clock, Cubes & Dices, Selection Decision Table (Decision Making), Logical Sequence Of Words, Crypt Arithmetic, Venn Diagram, Data Arrangement, Inequality, Analogy, Ranking, Order and Sequence, TCS NQT Advanced Reasoning Ability
- English (Verbal Ability): Vocabulary, Noun, Pronoun, Adjectives, Preposition, Articles, Direct and Indirect Speech, Tenses, Conjunction, Subject Verb Agreement (Verb Noun Agreement), Modals, Sentence Re-arrangements (Para Jumbles) (Narrative Sequencing), Sentence Correction (Error Correction), Sentence Completion (Fill in the blanks), Comprehension / Reading Comprehension / Unseen Passages (Critical Reasoning) (Paragraph Questions), Cloze Test (Cloze Passage), Verbal Analogy (Word Based Analogy), Sentence Construction, Active Passive Voice (Voice), Determiner, Facts, Inference and Judgements, Adverb, Interjection, Verb, English Writing Ability
- Engineering Mathematics: Calculus, Vectors
- GATE Live Class Recordings 2026: GATE 2026 Live Class
AI summary & chapters
AI Summary
An AI-generated summary of this video lecture.
This educational video provides a comprehensive introduction to the fundamental properties of logarithms, focusing on four key rules that simplify complex calculations. The lecture begins by defining the relationship between logarithmic and exponential forms, establishing that log_a(x) = y is equivalent to a^y = x. The instructor then systematically presents four distinct properties, each accompanied by mnemonics to aid student retention. Property 1, the 'Hero Se Zero Rule,' establishes that log_a(1) = 0 for any valid base a. Property 2, the 'Bhai Bhai Rule,' demonstrates that log_a(a) = 1. Property 3 is the Product Rule, which converts the sum of two logarithms into the logarithm of a product. Finally, Property 4 is the Quotient Rule, which transforms the difference of two logarithms into the logarithm of a quotient. Throughout the lesson, the instructor emphasizes common pitfalls, such as incorrectly adding or subtracting arguments inside a single logarithm, and provides algebraic proofs to validate each rule using exponential laws.
Chapters
0:00 – 2:00 00:00-02:00
The video opens with a digital chalkboard presentation introducing the definition of logarithms and listing key properties. The instructor focuses on Property 1, titled 'Hero Se Zero Rule,' which states that the logarithm of 1 is always 0. On-screen text displays the formula log_a(1) = 0 with conditions a ≠ 1 and a > 0. The instructor writes this rule, boxes it for emphasis, and draws a smiley face on the base 'a' to make the concept memorable. The segment transitions into deriving this rule by setting log_a(1) = k and converting it to exponential form 1 = a^k, proving that k must be zero. Three practice problems are introduced: log_10(1), log_4(1), and log_(13/2)(2/2).
2:00 – 5:00 02:00-05:00
The lecture progresses to Property 2, humorously named the 'Bhai Bhai Rule,' which states that when a base and its argument are identical, the result is 1. The formula log_a(a) = 1 is displayed with conditions a ≠ 1 and a > 0. The instructor generalizes this by setting log_a(a) = k, converting it to a = a^k. The segment includes solving four specific examples: log_20(20), log_sin(x)(sin(x)), log_(15/2)(15/2), and log_0.2(0.2). For each problem, the instructor circles the matching base and argument in red ink to visually demonstrate that they cancel out. Special attention is given to the domain restriction for trigonometric bases, noting 0 < sin(x) < 1.
5:00 – 10:00 05:00-10:00
After completing the identity examples, the instructor introduces Property 3: The Product Rule. The formula log_a(x1) + log_a(x2) = log_a(x1 * x2) is presented. The instructor writes 'add -> mult' to summarize the rule's effect and explicitly contrasts this with the incorrect method of adding arguments inside a single logarithm, writing log_a(x1 + x2) and crossing it out to prevent misconceptions. The segment demonstrates the rule's application by showing examples where fractional and decimal bases result in 1, reinforcing the identity property before moving to the new rule. The visual emphasis remains on distinguishing between operations outside and inside the logarithmic function.
10:00 – 15:00 10:00-15:00
This segment covers the algebraic derivation of the Product Rule and introduces Property 4: The Quotient Rule. Using exponential definitions, the instructor sets p = log_a(x1) and q = log_a(x2), converting them to x1 = a^p and x2 = a^q. Multiplying these yields x1 * x2 = a^(p+q), proving that log_a(x1) + log_a(x2) equals the logarithm of the product. A practice problem, log(10)(30) + log(10)(20), is introduced to apply the rule. The lesson then transitions to Property 4, displaying the formula log_a(x1) - log_a(x2) = log_a(x1 / x2). The instructor highlights a common student error where subtraction is incorrectly applied inside the logarithm as log_a(x1 - x2).
15:00 – 16:21 15:00-16:21
The final segment focuses on the proof and application of the Quotient Rule. The instructor demonstrates that dividing powers with the same base results in subtracting exponents (a^m / a^n = a^(m-n)). By substituting x1/x2, the proof shows that log_a(x1) - log_a(x2) equals log_a(x1/x2). The instructor warns against the incorrect operation of subtracting arguments inside the logarithm, visually crossing out log_a(x1 - x2). The lecture concludes with a 'Thanks for watching' slide, summarizing the four key properties: Hero Se Zero Rule, Bhai Bhai Rule, Product Rule, and Quotient Rule.
The video effectively structures the learning of logarithmic properties by moving from simple identities to more complex operational rules. The instructor employs mnemonic devices like 'Hero Se Zero Rule' and 'Bhai Bhai Rule' to help students remember that log_a(1) = 0 and log_a(a) = 1 respectively. A critical pedagogical strategy used throughout is the explicit correction of common misconceptions, particularly regarding the addition and subtraction of arguments inside logarithms. By visually crossing out incorrect forms like log_a(x1 + x2) and log_a(x1 - x2), the instructor reinforces that these operations must be performed outside the logarithm first. The algebraic proofs provided for the Product and Quotient Rules rely on fundamental exponential laws, ensuring students understand the theoretical basis behind the formulas. The use of varied examples, including integers, fractions, decimals, and trigonometric functions, ensures that students can apply these rules across different mathematical contexts.

