The document discusses polar equations and their use in describing curves. Polar equations are defined as equations involving the variables r and θ. Common polar equations like r = c, θ = c, r = ±c*cos(θ), and r = ±c*sin(θ) are presented along with examples of how they describe geometric shapes like circles and lines. In particular, the equations r = ±c*cos(θ) and r = ±c*sin(θ) always describe circles.
Lesson 6: Polar, Cylindrical, and Spherical coordinatesMatthew Leingang
"The fact that space is three-dimensional is due to nature. The way we measure it is due to us." Cartesian coordinates are one familiar way to do that, but other coordinate systems exist which are more useful in other situations.
Lesson 6: Polar, Cylindrical, and Spherical coordinatesMatthew Leingang
"The fact that space is three-dimensional is due to nature. The way we measure it is due to us." Cartesian coordinates are one familiar way to do that, but other coordinate systems exist which are more useful in other situations.
Learn about different polar graphs, including limaçons (convex, dimpled, looped), lemniscates, rose curves, and cardioids. View compare and contrast between the 4 different types of polar graphs, and view my impressions on this final unit in pre-calculus honors.
The Persistent Homology of Distance Functions under Random ProjectionDon Sheehy
Given n points P in a Euclidean space, the Johnson-Lindenstrauss lemma guarantees that the distances between pairs of points is preserved up to a small constant factor with high probability by random projection into O(log n) dimensions. In this paper, we show that the persistent homology of the distance function to P is also preserved up to a comparable constant factor. One could never hope to preserve the distance function to P pointwise, but we show that it is preserved sufficiently at the critical points of the distance function to guarantee similar persistent homology. We prove these results in the more general setting of weighted k-th nearest neighbor distances, for which k=1 and all weights equal to zero gives the usual distance to P.
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Full-RAG: A modern architecture for hyper-personalizationZilliz
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
GridMate - End to end testing is a critical piece to ensure quality and avoid...ThomasParaiso2
End to end testing is a critical piece to ensure quality and avoid regressions. In this session, we share our journey building an E2E testing pipeline for GridMate components (LWC and Aura) using Cypress, JSForce, FakerJS…
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex ProofsAlex Pruden
This paper presents Reef, a system for generating publicly verifiable succinct non-interactive zero-knowledge proofs that a committed document matches or does not match a regular expression. We describe applications such as proving the strength of passwords, the provenance of email despite redactions, the validity of oblivious DNS queries, and the existence of mutations in DNA. Reef supports the Perl Compatible Regular Expression syntax, including wildcards, alternation, ranges, capture groups, Kleene star, negations, and lookarounds. Reef introduces a new type of automata, Skipping Alternating Finite Automata (SAFA), that skips irrelevant parts of a document when producing proofs without undermining soundness, and instantiates SAFA with a lookup argument. Our experimental evaluation confirms that Reef can generate proofs for documents with 32M characters; the proofs are small and cheap to verify (under a second).
Paper: https://eprint.iacr.org/2023/1886
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
3. Polar Equations Polars equations are equations in the variables r and . Many curves may be described easier using relations in r and rather than relations between x and y.
4. Polar Equations Polars equations are equations in the variables r and . Many curves may be described easier using relations in r and rather than relations between x and y.
5. Polar Equations Polars equations are equations in the variables r and . Many curves may be described easier using relations in r and rather than relations between x and y.
8. Polar Equations The Constant Equations r = c & =c The equation r = c, distance from the point to the origin = c, and any number.
9. Polar Equations The Constant Equations r = c & =c The equation r = c, distance from the point to the origin = c, and any number. This equation describes the circle of radius c, centered at (0,0). Frank Ma 2006
10. Polar Equations The Constant Equations r = c & =c The equation r = c, distance from the point to the origin = c, and any number. This equation describes the circle of radius c, centered at (0,0).
12. Polar Equations The Constant Equations r = c & =c II. The equation = c, Directional angle to the point= c, and r any number.
13. Polar Equations The Constant Equations r = c & =c II. The equation = c, Directional angle to the point= c, and r any number. This equation describes the line making the angle c to x-axis.
14. Polar Equations The Constant Equations r = c & =c II. The equation = c, Directional angle to the point= c, and r any number. This equation describes the line making the angle c to x-axis. r>0 Frank Ma 2006 =C r<0
16. Polar Equations r = ±c*cos() & r = ±c*sin() The equations r = ±c*cos() r = ±c*sin() are circles.
17. Polar Equations r = ±c*cos() & r = ±c*sin() Example: Graph r = -sin() The equations r = ±c*cos() r = ±c*sin() are circles.
18. Polar Equations r = ±c*cos() & r = ±c*sin() Example: Graph r = -sin() The equations r = ±c*cos() r = ±c*sin() are circles. r 0 0 -½ π/6 -2/2 π/4 -3/2 π/3 -1 π/2 -3/2 2π/3 -2/2 3π/4 -½ 5π/6 0 π
19. Polar Equations r = ±c*cos() & r = ±c*sin() Example: Graph r = -sin() The equations r = ±c*cos() r = ±c*sin() are circles. r 0 0 -½ π/6 -2/2 π/4 -3/2 π/3 -1 π/2 -3/2 2π/3 -2/2 3π/4 -½ 5π/6 0 π
20. Polar Equations r = ±c*cos() & r = ±c*sin() Example: Graph r = -sin() The equations r = ±c*cos() r = ±c*sin() are circles. r 0 0 -½ π/6 -2/2 π/4 -3/2 π/3 -1 π/2 -3/2 2π/3 -2/2 3π/4 -½ 5π/6 0 π
21. Polar Equations r = ±c*cos() & r = ±c*sin() Example: Graph r = -sin() The equations r = ±c*cos() r = ±c*sin() are circles. r 0 0 -½ π/6 -2/2 π/4 -3/2 π/3 -1 π/2 -3/2 2π/3 -2/2 3π/4 -½ 5π/6 0 π
22. Polar Equations r = ±c*cos() & r = ±c*sin() Example: Graph r = -sin() The equations r = ±c*cos() r = ±c*sin() are circles. r 0 0 -½ π/6 -2/2 π/4 -3/2 π/3 -1 π/2 -3/2 2π/3 -2/2 3π/4 -½ 5π/6 0 π
23. Polar Equations r = ±c*cos() & r = ±c*sin() Example: Graph r = -sin() The equations r = ±c*cos() r = ±c*sin() are circles. r 0 0 -½ π/6 -2/2 π/4 -3/2 π/3 -1 π/2 -3/2 2π/3 -2/2 3π/4 -½ 5π/6 0 π
24. Polar Equations r = ±c*cos() & r = ±c*sin() Example: Graph r = -sin() The equations r = ±c*cos() r = ±c*sin() are circles. r 0 0 -½ π/6 -2/2 π/4 -3/2 π/3 -1 π/2 -3/2 2π/3 -2/2 3π/4 -½ 5π/6 0 π
25. Polar Equations r = ±c*cos() & r = ±c*sin() Example: Graph r = -sin() The equations r = ±c*cos() r = ±c*sin() are circles. r 0 0 -½ π/6 -2/2 π/4 -3/2 π/3 -1 π/2 -3/2 2π/3 -2/2 3π/4 -½ 5π/6 0 π
26. Polar Equations r = ±c*cos() & r = ±c*sin() Example: Graph r = -sin() The equations r = ±c*cos() r = ±c*sin() are circles. r 0 0 -½ π/6 -2/2 π/4 -3/2 π/3 -1 π/2 -3/2 2π/3 -2/2 3π/4 -½ 5π/6 0 π Frank Ma 2006
27. Polar Equations r = ±c*cos() & r = ±c*sin() Example: Graph r = -sin() The equations r = ±c*cos() r = ±c*sin() are circles. r 0 0 -½ π/6 -2/2 π/4 -3/2 π/3 -1 π/2 -3/2 2π/3 -2/2 3π/4 -½ 5π/6 0 π
28. Polar Equations r = ±c*cos() & r = ±c*sin() Example: Graph r = -sin() The equations r = ±c*cos() r = ±c*sin() are circles. r 0 0 -½ π/6 -2/2 π/4 -3/2 π/3 -1 π/2 -3/2 2π/3 -2/2 3π/4 -½ 5π/6 0 π
29. Polar Equations r = ±c*cos() & r = ±c*sin() Example: Graph r = -sin() The equations r = ±c*cos() r = ±c*sin() are circles. r 0 0 -½ π/6 -2/2 π/4 -3/2 π/3 -1 π/2 -3/2 2π/3 -2/2 3π/4 -½ 5π/6 0 π
30. Polar Equations r = ±c*cos() & r = ±c*sin() Example: Graph r = -sin() The equations r = ±c*cos() r = ±c*sin() are circles. r 0 0 -½ π/6 -2/2 π/4 -3/2 π/3 -1 π/2 -3/2 2π/3 -2/2 3π/4 -½ 5π/6 0 π
31. Polar Equations r = ±c*cos() & r = ±c*sin() Example: Graph r = -sin() The equations r = ±c*cos() r = ±c*sin() are circles. r 0 0 -½ π/6 -2/2 π/4 -3/2 π/3 -1 π/2 -3/2 2π/3 -2/2 3π/4 -½ 5π/6 0 π
32. Polar Equations r = ±c*cos() & r = ±c*sin() Example: Graph r = -sin() The equations r = ±c*cos() r = ±c*sin() are circles. r 0 0 -½ π/6 -2/2 π/4 -3/2 π/3 -1 π/2 -3/2 2π/3 -2/2 3π/4 -½ 5π/6 0 π
33. Polar Equations r = ±c*cos() & r = ±c*sin() Example: Graph r = -sin() The equations r = ±c*cos() r = ±c*sin() are circles. r 0 0 -½ π/6 -2/2 π/4 -3/2 π/3 -1 π/2 -3/2 2π/3 -2/2 3π/4 -½ 5π/6 0 π
34. Polar Equations r = ±c*cos() & r = ±c*sin() Example: Graph r = -sin() The equations r = ±c*cos() r = ±c*sin() are circles. r 0 0 -½ π/6 -2/2 π/4 -3/2 π/3 -1 π/2 -3/2 2π/3 -2/2 3π/4 -½ 5π/6 0 π
35. Polar Equations r = ±c*cos() & r = ±c*sin() Example: Graph r = -sin() The equations r = ±c*cos() r = ±c*sin() are circles. r 0 0 -½ π/6 -2/2 π/4 -3/2 π/3 -1 π/2 -3/2 2π/3 -2/2 3π/4 -½ 5π/6 0 π
36. Polar Equations r = ±c*cos() & r = ±c*sin() Example: Graph r = -sin() The equations r = ±c*cos() r = ±c*sin() are circles. r 0 0 -½ π/6 -2/2 π/4 -3/2 π/3 -1 π/2 -3/2 2π/3 -2/2 3π/4 -½ 5π/6 0 π
37. Polar Equations r = ±c*cos() & r = ±c*sin() Example: Graph r = -sin() r 0 π ½ 7π/6 2/2 5π/4 3/2 4π/3 1 3π/2 3/2 5π/3 2/2 7π/4 ½ 11π/6 0 2π r 0 0 -½ π/6 -2/2 π/4 -3/2 π/3 -1 π/2 -3/2 2π/3 -2/2 3π/4 -½ 5π/6 0 π
38. Polar Equations r = ±c*cos() & r = ±c*sin() Example: Graph r = -sin() r 0 π ½ 7π/6 2/2 5π/4 3/2 4π/3 1 3π/2 3/2 5π/3 2/2 7π/4 ½ 11π/6 0 2π r 0 0 -½ π/6 -2/2 π/4 -3/2 π/3 -1 π/2 -3/2 2π/3 -2/2 3π/4 -½ 5π/6 0 π
39. Polar Equations r = ±c*cos() & r = ±c*sin() Example: Graph r = -sin() r 0 π ½ 7π/6 2/2 5π/4 3/2 4π/3 1 3π/2 3/2 5π/3 2/2 7π/4 ½ 11π/6 0 2π r 0 0 -½ π/6 -2/2 π/4 -3/2 π/3 -1 π/2 -3/2 2π/3 -2/2 3π/4 -½ 5π/6 0 π
40. Polar Equations r = ±c*cos() & r = ±c*sin() Example: Graph r = -sin() r 0 π ½ 7π/6 2/2 5π/4 3/2 4π/3 1 3π/2 3/2 5π/3 2/2 7π/4 ½ 11π/6 0 2π r 0 0 -½ π/6 -2/2 π/4 -3/2 π/3 -1 π/2 -3/2 2π/3 -2/2 3π/4 -½ 5π/6 0 π
41. Polar Equations r = ±c*cos() & r = ±c*sin() Example: Graph r = -sin() r 0 π ½ 7π/6 2/2 5π/4 3/2 4π/3 1 3π/2 3/2 5π/3 2/2 7π/4 ½ 11π/6 0 2π r 0 0 -½ π/6 -2/2 π/4 -3/2 π/3 -1 π/2 -3/2 2π/3 -2/2 3π/4 -½ 5π/6 0 π
42. Polar Equations r = ±c*cos() & r = ±c*sin() Example: Graph r = -sin() r 0 π ½ 7π/6 2/2 5π/4 3/2 4π/3 1 3π/2 3/2 5π/3 2/2 7π/4 ½ 11π/6 0 2π r 0 0 -½ π/6 -2/2 π/4 -3/2 π/3 -1 π/2 -3/2 2π/3 -2/2 3π/4 -½ 5π/6 0 π
43. Polar Equations r = ±c*cos() & r = ±c*sin() Example: Graph r = -sin() r 0 π ½ 7π/6 2/2 5π/4 3/2 4π/3 1 3π/2 3/2 5π/3 2/2 7π/4 ½ 11π/6 0 2π r 0 0 -½ π/6 -2/2 π/4 -3/2 π/3 -1 π/2 -3/2 2π/3 -2/2 3π/4 -½ 5π/6 0 π
44. Polar Equations r = ±c*cos() & r = ±c*sin() Example: Graph r = -sin() r 0 π ½ 7π/6 2/2 5π/4 3/2 4π/3 1 3π/2 3/2 5π/3 2/2 7π/4 ½ 11π/6 0 2π r 0 0 -½ π/6 -2/2 π/4 -3/2 π/3 -1 π/2 -3/2 2π/3 -2/2 3π/4 -½ 5π/6 0 π
45. Polar Equations r = ±c*cos() & r = ±c*sin() Example: Graph r = -sin() r 0 π ½ 7π/6 2/2 5π/4 3/2 4π/3 1 3π/2 3/2 5π/3 2/2 7π/4 ½ 11π/6 0 2π r 0 0 -½ π/6 -2/2 π/4 -3/2 π/3 -1 π/2 -3/2 2π/3 -2/2 3π/4 -½ 5π/6 0 π Remark: The graph consists of two circles as goes from 0 to 2π
46. Polar Equations r = ±c*cos() & r = ±c*sin() The graphs of r = ±c*cos() & r = ±c*sin()consists of two overlapping circles tangent to the axes at the origin as goes from 0 to 2π. r = c*sin() r = -c*cos() r = +c*cos() r = -c*sin()
47. Polar Equations r = c(1 ± cos()) & r =c(1 ± sin()) Example: Graph r = 1 – sin() Frank Ma 2006
48. Polar Equations r = c(1 ± cos()) & r =c(1 ± sin()) Example: Graph r = 1 – sin() r 1 π 3/2 7π/6 1+2/2 5π/4 1+3/2 4π/3 2 3π/2 1+3/2 5π/3 1+2/2 7π/4 3/2 11π/6 1 2π r 1 0 ½ π/6 1-2/2 π/4 1-3/2 π/3 0 π/2 1-3/2 2π/3 1-2/2 3π/4 ½ 5π/6 1 π
49. Polar Equations r = c(1 ± cos()) & r =c(1 ± sin()) Example: Graph r = 1 – sin() r 1 π 3/2 7π/6 1+2/2 5π/4 1+3/2 4π/3 2 3π/2 1+3/2 5π/3 1+2/2 7π/4 3/2 11π/6 1 2π r 1 0 ½ π/6 1-2/2 π/4 1-3/2 π/3 0 π/2 1-3/2 2π/3 1-2/2 3π/4 ½ 5π/6 1 π
50. Polar Equations r = c(1 ± cos()) & r =c(1 ± sin()) Example: Graph r = 1 – sin() r 1 π 3/2 7π/6 1+2/2 5π/4 1+3/2 4π/3 2 3π/2 1+3/2 5π/3 1+2/2 7π/4 3/2 11π/6 1 2π r 1 0 ½ π/6 1-2/2 π/4 1-3/2 π/3 0 π/2 1-3/2 2π/3 1-2/2 3π/4 ½ 5π/6 1 π Frank Ma 2006
51. Polar Equations r = c(1 ± cos()) & r =c(1 ± sin()) Example: Graph r = 1 – sin() r 1 π 3/2 7π/6 1+2/2 5π/4 1+3/2 4π/3 2 3π/2 1+3/2 5π/3 1+2/2 7π/4 3/2 11π/6 1 2π r 1 0 ½ π/6 1-2/2 π/4 1-3/2 π/3 0 π/2 1-3/2 2π/3 1-2/2 3π/4 ½ 5π/6 1 π Frank Ma 2006
52. Polar Equations r = c(1 ± cos()) & r =c(1 ± sin()) Example: Graph r = 1 – sin() r 1 π 3/2 7π/6 1+2/2 5π/4 1+3/2 4π/3 2 3π/2 1+3/2 5π/3 1+2/2 7π/4 3/2 11π/6 1 2π r 1 0 ½ π/6 1-2/2 π/4 1-3/2 π/3 0 π/2 1-3/2 2π/3 1-2/2 3π/4 ½ 5π/6 1 π
53. Polar Equations r = c(1 ± cos()) & r =c(1 ± sin()) Example: Graph r = 1 – sin() r 1 π 3/2 7π/6 1+2/2 5π/4 1+3/2 4π/3 2 3π/2 1+3/2 5π/3 1+2/2 7π/4 3/2 11π/6 1 2π r 1 0 ½ π/6 1-2/2 π/4 1-3/2 π/3 0 π/2 1-3/2 2π/3 1-2/2 3π/4 ½ 5π/6 1 π
54. Polar Equations r = c(1 ± cos()) & r =c(1 ± sin()) Example: Graph r = 1 – sin() r 1 π 3/2 7π/6 1+2/2 5π/4 1+3/2 4π/3 2 3π/2 1+3/2 5π/3 1+2/2 7π/4 3/2 11π/6 1 2π r 1 0 ½ π/6 1-2/2 π/4 1-3/2 π/3 0 π/2 1-3/2 2π/3 1-2/2 3π/4 ½ 5π/6 1 π
55. Polar Equations r = c(1 ± cos()) & r =c(1 ± sin()) Example: Graph r = 1 – sin() r 1 π 3/2 7π/6 1+2/2 5π/4 1+3/2 4π/3 2 3π/2 1+3/2 5π/3 1+2/2 7π/4 3/2 11π/6 1 2π r 1 0 ½ π/6 1-2/2 π/4 1-3/2 π/3 0 π/2 1-3/2 2π/3 1-2/2 3π/4 ½ 5π/6 1 π Frank Ma 2006
56. Polar Equations r = c(1 ± cos()) & r =c(1 ± sin()) Example: Graph r = 1 – sin() r 1 π 3/2 7π/6 1+2/2 5π/4 1+3/2 4π/3 2 3π/2 1+3/2 5π/3 1+2/2 7π/4 3/2 11π/6 1 2π r 1 0 ½ π/6 1-2/2 π/4 1-3/2 π/3 0 π/2 1-3/2 2π/3 1-2/2 3π/4 ½ 5π/6 1 π Frank Ma 2006
57. Polar Equations r = c(1 ± cos()) & r =c(1 ± sin()) Example: Graph r = 1 – sin() r 1 π 3/2 7π/6 1+2/2 5π/4 1+3/2 4π/3 2 3π/2 1+3/2 5π/3 1+2/2 7π/4 3/2 11π/6 1 2π r 1 0 ½ π/6 1-2/2 π/4 1-3/2 π/3 0 π/2 1-3/2 2π/3 1-2/2 3π/4 ½ 5π/6 1 π
59. Polar Equations r = cos(n) & r = c*sin(n) The following steps help us to graph polar equations, especially equations made up with sine and cosine of : Frank Ma 2006
60. Polar Equations r = cos(n) & r = c*sin(n) The following steps help us to graph polar equations, especially equations made up with sine and cosine of : 1. Find 0o < < 360o where r=0
61. Polar Equations r = cos(n) & r = c*sin(n) The following steps help us to graph polar equations, especially equations made up with sine and cosine of : 1. Find 0o < < 360o where r=0 2. Find between 0 and 360o where |r| is greatest.
62. Polar Equations r = cos(n) & r = c*sin(n) The following steps help us to graph polar equations, especially equations made up with sine and cosine of : 1. Find 0o < < 360o where r=0 2. Find between 0 and 360o where |r| is greatest. 3. Trace the curves using 1 and 2. Frank Ma 2006
71. Polar Equations Example: r = sin(2) Find r = 0 = sin(2), 0 < < 360 0 < 2 < 720. Therefore 2 = 0, 180, 360, 540, or = 0, 90, 180, 270 Find r = 1 = sin(2), 2 = 90, 450, or = 45, 225. Find r = -1, 2 = 270, 630, = 135, 315 90 Draw the directions that r = 0. 180 0 1 270
72. Polar Equations Example: r = sin(2) Find r = 0 = sin(2), 0 < < 360 0 < 2 < 720. Therefore 2 = 0, 180, 360, 540, or = 0, 90, 180, 270 Find r = 1 = sin(2), 2 = 90, 450, or = 45, 225. Find r = -1, 2 = 270, 630, = 135, 315 45 90 Draw the directions that r = 0. 135 Draw the directions that r = ±1. Frank Ma 2006 180 0 1 225 315 270
73. Polar Equations Example: r = sin(2) Investigate the graph in each sector from r = 0 to r = 0 : 45 90 135 Frank Ma 2006 180 0 1 225 315 270
74. Polar Equations Example: r = sin(2) Investigate the graph in each sector from r = 0 to r = 0 : 0 < < 90 0 < 2 < 180, sin(2) goes from 0 to 1 back to 0. 45 90 135 Frank Ma 2006 180 0 1 225 315 270
75. Polar Equations Example: r = sin(2) Investigate the graph in each sector from r = 0 to r = 0 : 0 < < 90 0 < 2 < 180, sin(2) goes from 0 to 1 back to 0. 45 90 135 Frank Ma 2006 180 0 1 225 315 270
76. Polar Equations Example: r = sin(2) Investigate the graph in each sector from r = 0 to r = 0 : 0 < < 90 0 < 2 < 180, sin(2) goes from 0 to 1 back to 0. 90 < <180 180 < 2 < 360, sin(2) goes from 0 to -1 to 0. 45 90 135 180 0 1 225 315 270
77. Polar Equations Example: r = sin(2) Investigate the graph in each sector from r = 0 to r = 0 : 0 < < 90 0 < 2 < 180, sin(2) goes from 0 to 1 back to 0. 90 < <180 180 < 2 < 360, sin(2) goes from 0 to -1 to 0. 45 90 135 180 0 1 225 315 270
78. Polar Equations Example: r = sin(2) Investigate the graph in each sector from r = 0 to r = 0 : 0 < < 90 0 < 2 < 180, sin(2) goes from 0 to 1 back to 0. 90 < <180 180 < 2 < 360, sin(2) goes from 0 to -1 to 0. The similar observation about the other two sectors gives us the complete graph. 45 90 135 Frank Ma 2006 180 0 1 225 315 270
79. Polar Equations Example: r = sin(2) Investigate the graph in each sector from r = 0 to r = 0 : 0 < < 90 0 < 2 < 180, sin(2) goes from 0 to 1 back to 0. 90 < <180 180 < 2 < 360, sin(2) goes from 0 to -1 to 0. The similar observation about the other two sectors gives us the complete graph. 45 90 135 180 0 1 225 315 270
80. Polar Equations Example: r = sin(2) Investigate the graph in each sector from r = 0 to r = 0 : 0 < < 90 0 < 2 < 180, sin(2) goes from 0 to 1 back to 0. 90 < <180 180 < 2 < 360, sin(2) goes from 0 to -1 to 0. The similar observation about the other two sectors gives us the complete graph. 45 90 135 This is known as the four-pedal-rose curve. Frank Ma 2006 180 0 1 225 315 270
83. Equation Conversion Conversion Rule: To convert equations between the polar and rectangular form: x = r*cos() y = r*sin() r2 = x2 + y2, r = x2 + y2 tan() = y/x Frank Ma 2006
84. Equation Conversion Conversion Rule: To convert equations between the polar and rectangular form: x = r*cos() y = r*sin() r2 = x2 + y2 tan() = y/x Example: Convert the polar equation r = 3 into rectangular equation in x&y. Frank Ma 2006
85. Equation Conversion Conversion Rule: To convert equations between the polar and rectangular form: x = r*cos() y = r*sin() r2 = x2 + y2 tan() = y/x Example: Convert the polar equation r = 3 into rectangular equation in x&y. r = 3 square both sides
86. Equation Conversion Conversion Rule: To convert equations between the polar and rectangular form: x = r*cos() y = r*sin() r2 = x2 + y2 tan() = y/x Example: Convert the polar equation r = 3 into rectangular equation in x&y. r = 3 square both sides r2 = 9
87. Equation Conversion Conversion Rule: To convert equations between the polar and rectangular form: x = r*cos() y = r*sin() r2 = x2 + y2 tan() = y/x Example: Convert the polar equation r = 3 into rectangular equation in x&y. r = 3 square both sides r2 = 9 replace into x&y Frank Ma 2006
88. Equation Conversion Conversion Rule: To convert equations between the polar and rectangular form: x = r*cos() y = r*sin() r2 = x2 + y2 tan() = y/x Example: Convert the polar equation r = 3 into rectangular equation in x&y. r = 3 square both sides r2 = 9 replace into x&y x2 + y2 = 9 Frank Ma 2006
89. Equation Conversion Conversion Rule: To convert equations between the polar and rectangular form: x = r*cos() y = r*sin() r2 = x2 + y2 tan() = y/x Example: Convert the polar equation r = 3 – 3cos() into rectangular equation in x&y.
90. Equation Conversion Conversion Rule: To convert equations between the polar and rectangular form: x = r*cos() y = r*sin() r2 = x2 + y2 tan() = y/x Example: Convert the polar equation r = 3 – 3cos() into rectangular equation in x&y. r = 3 – 3cos() Frank Ma 2006
91. Equation Conversion Conversion Rule: To convert equations between the polar and rectangular form: x = r*cos() y = r*sin() r2 = x2 + y2 tan() = y/x Example: Convert the polar equation r = 3 – 3cos() into rectangular equation in x&y. r = 3 – 3cos(), multiply by r
92. Equation Conversion Conversion Rule: To convert equations between the polar and rectangular form: x = r*cos() y = r*sin() r2 = x2 + y2 tan() = y/x Example: Convert the polar equation r = 3 – 3cos() into rectangular equation in x&y. r = 3 – 3cos(), multiply by r r2 = 3r – 3*r*cos()
93. Equation Conversion Conversion Rule: To convert equations between the polar and rectangular form: x = r*cos() y = r*sin() r2 = x2 + y2 tan() = y/x Example: Convert the polar equation r = 3 – 3cos() into rectangular equation in x&y. r = 3 – 3cos(), multiply by r r2 = 3r – 3*r*cos() in x&y Frank Ma 2006
94. Equation Conversion Conversion Rule: To convert equations between the polar and rectangular form: x = r*cos() y = r*sin() r2 = x2 + y2 tan() = y/x Example: Convert the polar equation r = 3 – 3cos() into rectangular equation in x&y. r = 3 – 3cos(), multiply by r r2= 3r – 3*r*cos() in x&y x2 + y2 = 3x2 + y2 – 3x
95. Equation Conversion Conversion Rule: To convert equations between the polar and rectangular form: x = r*cos() y = r*sin() r2 = x2 + y2 tan() = y/x Example: Convert the polar equation r = 3 – 3cos() into rectangular equation in x&y. r = 3 – 3cos(), multiply by r r2 = 3r – 3*r*cos() in x&y x2 + y2 = 3x2 + y2 – 3x
96. Equation Conversion Conversion Rule: To convert equations between the polar and rectangular form: x = r*cos() y = r*sin() r2 = x2 + y2 tan() = y/x Example: Convert the rectangular equation 2x2 = 3x – 2y2 – 8 into polar equation.
97. Equation Conversion Conversion Rule: To convert equations between the polar and rectangular form: x = r*cos() y = r*sin() r2 = x2 + y2 tan() = y/x Example: Convert the rectangular equation 2x2 = 3x – 2y2 – 8 into polar equation. 2x2 = 3x – 2y2 – 8 Frank Ma 2006
98. Equation Conversion Conversion Rule: To convert equations between the polar and rectangular form: x = r*cos() y = r*sin() r2 = x2 + y2 tan() = y/x Example: Convert the rectangular equation 2x2 = 3x – 2y2 – 8 into polar equation. 2x2 = 3x – 2y2 – 8 2x2 + 2y2 = 3x – 8 Frank Ma 2006
99. Equation Conversion Conversion Rule: To convert equations between the polar and rectangular form: x = r*cos() y = r*sin() r2 = x2 + y2 tan() = y/x Example: Convert the rectangular equation 2x2 = 3x – 2y2 – 8 into polar equation. 2x2 = 3x – 2y2 – 8 2x2 + 2y2 = 3x – 8 2(x2 + y2) = 3x – 8
100. Equation Conversion Conversion Rule: To convert equations between the polar and rectangular form: x = r*cos() y = r*sin() r2 = x2 + y2 tan() = y/x Example: Convert the rectangular equation 2x2 = 3x – 2y2 – 8 into polar equation. 2x2 = 3x – 2y2 – 8 2x2 + 2y2 = 3x – 8 2(x2 + y2) = 3x – 8 2r2 = 3rcos() – 8