Set 2 - Important Questions on Logarithms
Duration: 4 min
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Module outline
- About Course: About the Course
- Paper 1 | Quantitative Aptitude: Speed Mathematics and Basic Mathematics, Percentage, Ratio and Proportion (Ratios), Powers and Exponents (Surds and Indices), Logarithm, Sequence and Series (Series), Mensuration and Geometry, Data Interpretation, Average, Arithmetic
- Paper 1 | Logical Reasoning: Non Verbal Reasoning (Spatial Aptitude) (Spatial Reasoning) (Visual Reasoning), Series (Number and Letter Series) (Numerical Relations and Reasoning), Deductive and Inductive Reasoning (Logical Deduction and Induction) (Prepositional Reasoning), Analogy, Cubes & Dices, Syllogisms
- Paper 1 | English Language: Vocabulary, Noun, Pronoun, Verb, Adjectives, Adverb, Preposition, Conjunction, Interjection, Articles, Tenses, Subject Verb Agreement (Verb Noun Agreement), Modals, Determiner, Sentence Correction (Error Correction), Sentence Completion (Fill in the blanks), Comprehension / Reading Comprehension / Unseen Passages (Critical Reasoning) (Paragraph Questions), Sentence Re-arrangements (Para Jumbles) (Narrative Sequencing), Sentence Construction
- Paper 1 | Unit Tests:
- Paper 1 | Full-Length Mock Tests:
- Paper 2 | Engineering Mathematics: Set Theory, Relations, Functions, Graph Theory, Group Theory, Propositional and Predicate Logic, Linear Algebra, Calculus, Permutation and Combination, Probability, Statistics
- Paper 2 | Digital Logic: Digital Systems & Boolean Basics, Logic Gates & Hardware, Boolean Expression, Boolean Minimization, Combinational Circuit, Sequential Circuits, Number System, Number Representation
- Paper 2 | Computer Architecture: Basics of COA, Floating Point Rep, Cache Memory Organization, Input Output Organisation, Pipelining, Instr Formats & Modes, Control Unit Design
- Paper 2 | Programming and Data Structures: C Fundamentals, Control Flow, Functions, Arrays & Pointers, Storage Classes, Structures & Enums, DMA, Macros, Scoping & File Handling, Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing
- Paper 2 | Algorithms: Algorithm Analysis, Time Complexity Analysis, Sorting Algorithms, Greedy Algorithms, Dynamic Programming, Minimum Spanning Trees, Shortest Path Algos
- Paper 2 | Theory Of Computation/Automata Theory: 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
- Paper 2 | 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
- Paper 2 | Operating System: Introduction to OS, Process Management, CPU Scheduling, Process Synchronization, Threads & Process Creation, Deadlock, Memory Management, Virtual Memory, Disc Scheduling, File Management
- Paper 2 | DataBase Management System/DBMS: 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, Database Recovery
- Paper 2 | 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, Hardware Basics
- Paper 2 | CS/IT Sectional Mock Tests:
- Complete Paper Full Mock Test:
AI summary & chapters
AI Summary
An AI-generated summary of this video lecture.
This video is a mathematics lecture on logarithms, presented by Yash Jain from Knowledge Gate Educator. The lecture begins with an introduction to logarithmic concepts, including the definition of a logarithm as the exponent to which a base must be raised to produce a given number, and the fundamental identity log_a(a^x) = x. The instructor then proceeds to solve a set of four problems from 'Set 2' on a digital whiteboard. The problems involve applying logarithmic properties such as the power rule (log(a^b) = b*log(a)), the product rule (log(m) + log(n) = log(mn)), and the change of base formula (log_b(a) = 1 / log_a(b)). The video demonstrates step-by-step solutions, including simplifying expressions like 3^(1/2 * log_3(9)) and 2 - log_5(25), and solving a more complex problem involving the change of base formula. The lecture concludes with a thank you message.
Chapters
0:00 – 2:00 00:00-02:00
The video opens with a title card for a lecture on logarithms, featuring a hand writing 'log y =' on a blackboard. The main content begins with a title slide for 'Important Questions on Logarithms Set 2'. The instructor, Yash Jain, introduces the topic and presents the first problem: 'Find the value of the following (Set 2)'. The first problem is 3^(1/2 * log_3(9)). The instructor begins to solve it by applying the power rule of logarithms, writing '3^(log_3(9^(1/2)))'. He then simplifies 9^(1/2) to 3, resulting in 3^(log_3(3)). Using the identity a^(log_a(b)) = b, he concludes the value is 3. The second problem is 2 - log_5(25). He simplifies log_5(25) to log_5(5^2), which is 2, so the expression becomes 2 - 2 = 0.
2:00 – 4:21 02:00-04:21
The instructor moves to the third problem: log_10(10) + log_10(10). He applies the product rule, log(m) + log(n) = log(mn), to get log_10(10 * 10) = log_10(100). Since 100 is 10^2, this simplifies to log_10(10^2) = 2. The fourth problem is log_5(3) * log_3(25). He uses the change of base formula, log_b(a) = 1 / log_a(b), to rewrite log_5(3) as 1 / log_3(5). The expression becomes (1 / log_3(5)) * log_3(25). He then rewrites log_3(25) as log_3(5^2), which is 2 * log_3(5). The expression is now (1 / log_3(5)) * 2 * log_3(5). The log_3(5) terms cancel out, leaving the final answer as 2. The video ends with a 'THANKS FOR WATCHING' screen.
The video provides a structured, step-by-step tutorial on solving logarithmic expressions. It begins with foundational concepts and then applies them to a series of progressively more complex problems. The core of the lesson is the practical application of key logarithmic identities: the power rule, the product rule, and the change of base formula. The instructor demonstrates how to simplify expressions by breaking them down into their fundamental components, a crucial skill for solving logarithmic equations. The progression from simple problems like 3^(1/2 * log_3(9)) to the more complex one involving the change of base formula effectively illustrates the power of these properties.